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-->\n\u003Cp>【软盟资讯·新闻导读】京东在JDD全球科技探索者大会上启动物理AI加速计划，提出把算力、数据、模型、机器人制造与供应链场景连接起来。计划涉及数据采集、机器人生产、销售、物流和服务等环节，但相关目标目前仍属于规划，不能等同于已经实现的产业效果。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\n\n\u003C!-- wp:image -->\n\u003Cfigure class=\"wp-block-image\">\u003Cimg src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fwf_img6aa242bb718120.93061425.webp\" alt=\"物理AI连接仓储、制造与物流场景\" \u002F>\u003C\u002Ffigure>\n\u003C!-- \u002Fwp:image -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>京东此次释放的信号，并不是再推出一个单独的机器人产品，而是试图把物理AI放进一套更大的产业系统中。在JDD全球科技探索者大会上，京东集团技术委员会主席、京东云总裁曹鹏表示，物理AI正在走向规模化落地，竞争重点也将从单一模型或单个本体，转向算力、数据和场景之间的系统竞争。京东随后宣布启动“京东物理AI加速计划”，围绕具身机器人持续投入数据、机器、制造、销售、物流和服务六个方向。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>这个计划之所以受到关注，是因为物理AI与纯数字环境中的模型应用有明显区别。聊天、搜索、代码生成等任务主要发生在信息空间，模型输出错误时，往往可以重新生成或人工修正；但机器人进入仓库、生产线、商超或配送环节后，必须面对遮挡、空间变化、设备差异、天气影响和真实作业节奏。系统不仅要“理解”指令，还要完成感知、判断、动作执行，并承担错误决策带来的成本与安全风险。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">从单点模型竞争转向产业系统竞争\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>传统人工智能项目通常可以从模型能力开始评估，例如识别是否准确、回答是否流畅、生成结果是否符合要求。但物理AI的评价方式更接近一项完整的运营工程：数据是否持续产生，算力是否能够支撑训练和推理，机器人是否容易制造和维护，模型能否适配不同环境，企业是否愿意把它接入日常流程，最终还要看投入与产出是否匹配。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>京东提出的路径，正是把这些环节放到同一张牌桌上。算力负责训练和运行，数据来自真实任务与环境，模型承担理解、生成和行动之间的连接，机器人则是进入物理世界的执行载体。制造、销售、物流和服务进一步决定设备能否被部署、交付、维修和持续升级。这样的组合并不意味着每一个环节都已经成熟，而是表明京东希望以供应链的方式组织物理AI，而不是只以实验室技术或单个演示项目推进。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>这一思路对企业技术负责人具有直接启发：评估物理AI时，不能只问“模型能不能做”，还需要追问“谁提供数据、谁承担部署、谁负责维护、异常如何处理、效果如何回流”。如果这些问题没有答案，模型能力越强，也可能只是展示效果，而不是可持续的生产工具。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">六个方向如何串起物理AI闭环\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>从目前披露的信息看，京东物理AI加速计划覆盖六个方向。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>首先是数据。京东提出建设“世界最大的物理数据训练中心”，计划在两年内累计采集超过一千万小时的真实人类场景数据，并将互联网数据、仿真数据和真实机器人数据结合起来，用于构建“理解—生成—行动”一体化的具身智能技术模型。这里需要特别区分：一千万小时是计划中的目标，不是已经完成的数据量，更不能据此推导模型已经具备通用的物理世界理解能力。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>其次是机器人制造与产业基地建设。京东提出未来五年在全国布局八十个基地，覆盖展示、交付、维修、维护、研发、设计、组装、数据采集、制造和版本升级等环节。若这些目标按计划推进，机器人将不再只是采购后交付的一次性硬件，而可能被纳入一个包含部署、运营、维护和持续训练的生命周期平台。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第三是核心零部件。京东计划在未来三年投入核心部件并建设自有工厂，提出帮助一百家终端用户企业实现全品类降本，并推动一百家零部件供应商实现业绩增长。这里的表达仍属于计划目标，实际能否实现，取决于产品标准化程度、采购规模、供应商协同能力和下游客户的真实订单，不能在新闻报道中直接写成已经完成的降本或增长结果。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第四是销售与应用推广。资料显示，京东计划到2028年投入超过一百亿元资源，支持一百个品牌实现自身销售额超过十亿元，并推动机器人进入百万级终端用户场景。这说明京东希望解决的不只是“机器人能不能造出来”，还包括“有没有足够多的应用场景承接产品”。但销售额、品牌数量和终端覆盖仍是目标值，最终效果需要等待后续经营数据验证。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第五是物流。京东提出未来五年计划采购超过三百万台机器人、一百万台无人车和十万架无人机，并已在仓储、分拣、运输和配送等供应链环节进行协同开发。物流是物理AI较容易形成连续数据回流的场景，因为订单、库存、路径、作业时间和履约结果都能形成相对清晰的任务链条。不过，采购计划并不等于设备已经全部上线，也不等于所有设备都能在复杂环境中稳定运行。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第六是服务。物理AI设备交付后，仍需要调试、维护、软件升级和现场支持。机器人在实验环境中完成一次动作，与设备在不同仓库、不同货架、不同作业班次中长期运行，是两个完全不同的问题。京东把服务纳入计划，说明其关注点已经从设备销售延伸到全生命周期运营，但目前资料对服务目标和已实现效果披露有限，因此不宜继续作出具体推断。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">对零售、物流和工业意味着什么\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>对零售行业来说，物理AI的价值可能首先体现在门店、仓储和库存协同，而不是简单地增加一个会说话的机器人。零售经营涉及商品陈列、补货、盘点、拣选和配送，这些任务与需求预测、库存状态和订单履约相互关联。若机器人能够在真实流程中稳定执行其中一部分工作，模型产生的数据就有机会反过来改善库存安排和作业调度。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>但零售场景也存在较高复杂度。商品包装、摆放位置和门店环境经常变化，促销期间的客流与订单波动也会改变作业节奏。因此，展示中完成一次识别、抓取或引导，并不代表系统已经适合大规模复制。企业需要关注的是平均状态下的表现，而不是最理想条件下的单次演示。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>对物流行业而言，京东的计划更强调从仓库到配送站的连续链条。物流任务具有较强的流程性：货物入库、分拣、搬运、运输和末端交付之间存在前后关系。只要数据能够被统一记录，就有机会形成从任务下达、设备执行到结果反馈的闭环。物流企业在评估这类方案时，应重点看设备是否能适应订单波动、异常件、道路变化和人工协作，而不是只看设备数量。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>工业场景则更看重可靠性、精度和安全边界。生产线上的机器人通常需要与设备、工艺和质量控制系统协同，任何动作错误都可能带来停线或返工风险。京东提出以供应链为基础推进物理AI，理论上可以连接零部件、制造、仓储与交付，但这并不自动等于能够替代工业现场的专业系统。工业企业仍需要根据自身工艺评估数据质量、接口适配、责任划分和故障处理机制。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">计划、展示成果与已实现效果必须分开看\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>此次消息中最容易被混淆的，是三个不同层次的表述。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第一层是大会公布的规划，包括数据采集时长、基地数量、采购数量、投资规模和品牌支持目标。这些内容可以作为企业战略方向和资源投入承诺进行报道，但不能写成已经完成的建设成果。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第二层是现场展示或阶段性项目。机器人能够完成某项动作，或者某类设备已经在部分仓储、配送环节运行，只能证明该任务具备一定可行性。它不等于系统已经实现跨区域、跨环境、长时间稳定运行。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第三层才是已经实现的效果，例如在真实订单和生产节奏下持续运行，并且有可核验的效率、成本、安全或服务改善数据。当前资料对京东物理AI加速计划的未来目标披露较多，对整体计划已经带来的实际经济效果披露相对有限。因此，报道时应使用“计划建设”“计划投入”“拟推动”“已披露目标”等表述，而不应把目标改写成既成事实。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>对于投资观察者而言，这种区分尤其重要。物理AI可能需要长期资本投入，商业化过程不仅取决于模型，也取决于设备价格、零部件供应、现场服务、客户采购周期和数据合规。宏大的数量目标能够显示资源组织能力，却不能单独证明投资回报已经形成。真正值得跟踪的，是计划是否转化为可重复交付的产品、稳定运行的项目和清晰的客户价值。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">【软盟观察】\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>京东启动物理AI加速计划，重要之处不在于又提出了多少机器人数量目标，而在于它试图把物理AI从单个技术项目改造成一套覆盖数据、制造、销售、物流和服务的产业组织方式。对于零售和物流企业来说，这种模式有现实吸引力，因为它们本身拥有持续发生的订单、库存、运输和作业场景，能够为模型训练和系统迭代提供比实验室更接近真实业务的数据。对于供应商来说，计划也可能带来新的设备、零部件和服务需求。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>但必须保持冷静。物理AI的难点从来不只是设备能否完成一次动作，而是能否在环境变化、任务波动和人工协作同时存在的情况下长期稳定运行。数据采集目标、基地建设目标、设备采购目标和销售支持目标，都属于计划层面的承诺，后续还需要通过项目交付、设备开机率、维护成本、异常处理能力和客户实际收益来验证。尤其是“规模化”不能只用设备数量衡量，还应看设备是否真正嵌入生产与服务流程，是否减少了重复劳动，是否改善了履约质量，并且没有把新的管理成本转移给企业。京东的供应链基础可能让它更容易获得真实场景和运营数据，但这并不意味着所有行业都能直接复制这一模式。接下来，市场更应关注计划如何落地、哪些场景先形成稳定回报，以及公开目标与实际效果之间存在多大差距。只有当展示成果能够转化为可持续、可核验、可扩展的业务结果，物理AI才算真正走过从概念加速到产业兑现的关键一步。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->","published","article","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Feed744e4232ca8a5.webp","2026-09-10T13:40:07+08:00",8188284,15118,[560,564,568,569,573],{"id":561,"tenant_id":6,"name":562,"slug":563,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},2518,"数据采集","%e6%95%b0%e6%8d%ae%e9%87%87%e9%9b%86",{"id":565,"tenant_id":6,"name":566,"slug":567,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},6206,"机器人产业","%e6%9c%ba%e5%99%a8%e4%ba%ba%e4%ba%a7%e4%b8%9a",{"id":541,"tenant_id":6,"name":542,"slug":543,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":570,"tenant_id":6,"name":571,"slug":572,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},8584,"具身机器人","%e5%85%b7%e8%ba%ab%e6%9c%ba%e5%99%a8%e4%ba%ba",{"id":574,"tenant_id":6,"name":575,"slug":576,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},8906,"物理AI","%e7%89%a9%e7%90%86ai",348,"王思涵-智讯整理官","2026-09-10T13:43:17+08:00",{"id":581,"tenant_id":6,"creator_id":7,"title":582,"slug":583,"content":584,"content_json":12,"content_html":584,"reading_time":7,"access_level":7,"excerpt":585,"status":553,"content_type":554,"cover_image":586,"published_at":587,"scheduled_at":544,"author_id":588,"channel_id":544,"category_id":589,"tags":590,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":17,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":608,"like_count":7,"comment_count":7,"author_name":609,"created_at":587,"updated_at":587},74031,"2026南京面辅料及纱线展11月19日开展！","74031","2026南京面辅料及纱线展11月19日开展！\r\n2026江苏国际纺织服装供应链博览会\r\n时间：2026年11月19-21日\r\n地点：南京国际博览中心\r\n展览面积：20000㎡\r\n展商数量：400+家\r\n观众数量：20000+采购商\r\n主办单位:江苏省服装协会、新华报业传媒集、海名会展集团\r\n承办单位:江苏省服装设计师协会、青岛海名国际会展有限公司、南京泓达会展有限公司、新华日报社财经传媒中心\r\n支持单位:中国国际贸易促进委员会纺织行业分会、中国服装协会、中国纺织品进出口商会国际供应链委员会、上海服装行业协会、浙江省服装行业协会、安徽省纺织行业协会、苏州市纺织工业协会、无锡纺织工业协会、南京服装行业协会、南通市服装协会、常州服装行业协会、盐城市服装协会、江苏服装品牌协同创新中心\r\n展会简介\r\n2026江苏国际纺织服装供应链博览会依托江苏“全链条、强集群、高价值”的纺织服装产业根基，整合纱线、面辅料、设计、生产、技术、商贸全链条资源，携手长三角共同推动产业向高端化、智能化、绿色化升级。展会创新采用“展+会+盟\"三维联动模式，集产品展示、趋势发布、高端对话与产业联盟于一体，致力于打造\"双循环\"发展格局下的全球供应链协同创新平台。届时，20,000㎡展览面积将汇聚400余家优质展商，完整呈现从面辅料到智能制造的纺织服装全产业链生态。\r\n\r\n\u003Cimg src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F1-53.png\" alt=\"1\" width=\"705\" height=\"394\" \u002F>\r\n展出范围\r\n纺织材料与面辅料\r\n汇集特种纱线、新型纤维、功能面料及创新辅料，提供从源头材料到终端应用的完整产品与技术对接平台。\r\n服装与服饰\r\n集结男装、女装、童装、校服与团体服饰、职业装、礼服、品牌内衣、家居服与休闲装、户外运动服装、非遗服饰、皮革、皮草与羽绒服装等全品类，一站式满足从商务、时尚到功能、校服等多元场景需求。\r\n家纺与家居产品\r\n涵盖家纺布艺、成品家纺及家居装饰纺织品，为家居纺织企业与采购商提供覆盖各类生活场景的一站式产品对接与解决方案展示平台。\r\n智能制造与绿色科技\r\n聚焦智能缝制、数码印花设备、绿色印染及服装生产自动化系统与软件，完整呈现从数字化生产到环保技术应用的产业升级双路径，推动纺织服装行业向智能化、绿色化协同转型。\r\n展会优势\r\n核心枢纽，高效通达\r\n南京位于长三角核心，1小时高铁圈覆盖苏州、南通、合肥等纺织服装重镇，快速接驳上海、杭州、宁波等国际商贸中心，为全国采购商提供高效观展与商贸对接体验，\r\n产业腹地，资源触达\r\n以南京为中心半径300公里内，集聚全国60%纺织服装产能、涵盖80%面料品类。展会毗邻国际级纺织面料之都、家纺制造中心与智能制造基地，让您不出展馆，即可高效对接源头厂家，商机近在咫尺，\r\n背书，携手赋能\r\n新华报业传媒集团(主流媒体，背书)作为江苏z具影响力的主流传媒集团，新华报业传媒依托强大的全媒体矩阵与公信力，为展会注入传播势能。助力展会声量全域触达，提升品牌曝光与行业影响力。\r\n江苏省服装协会(5A级行业，深链江苏)协会拥有500余家规上企业会员，深耕江苏服装行业37年，是江苏高端纺织集群支撑单位，深度链接全省优质纺织服装企业。以专业视角与行业号召力，为展会汇聚核心展商资源与专业买家，构建高品质行业交流平台。\r\n海名集团(27年专业积淀，强效落地)集团深耕纺织服装会展27年，400余人专业团队年运作30城近200万㎡展会，服务展商4万家，促成交易超300亿元。凭借成熟的运营体系与庞大资源数据库，为展会提供精准商贸配对与全流程落地保障，助您高效链接商机。\r\n展会亮点\r\n·机构深度协同\r\n联合国内多家纺织服装行业协会商会等多家机构、整合行业优质资源，搭建高效商贸对接平台，推动产业链协同创新与升级。\r\n专业买家定向邀约\r\n通过“线上+线下\"双轨邀约模式，精准覆盖国内重点产业集群及海外重点市场，重点邀约中国服装行业百企、江苏服装行业五十企及实力采购商，预计吸引近万名高质量专业买家到场。\r\n全媒体矩阵，全域强触达\r\n依托新华报业传媒集团全媒体矩阵，联动微信公众号、视频号、网站及海外社交平台，并覆盖行业垂直媒体，构建声量与精度兼备的传播网络。\r\n1.立体传播，强势曝光:通过品牌专访、趋势解读、直播探展等多元内容，结合短视频、KOL合作与社群运营，精准触达产业链核心决策人群。\r\n2.数据驱动，实效邀约:依托专业采购商数据库，实施多轮次短信营销、专业呼叫团队定向邀约，并通过抖音\u002F快手\u002F百度\u002F朋友圈广告全域引流，确保展商新品首发即获行业关注。\r\n3.深度地推，保障到会:组建区域集群式地推团队，深入产业基地开展一对一专业邀访，配合微信深度维护与到会率保障机制，确保核心买家到场，实现从曝光到成交的高效转化。\r\n重点邀约采购商类型\r\n服装品牌\r\n贸易公司\r\n优质服装工厂\r\n电商\u002FMCN机构\r\n代理\u002F经销商\r\n印花\u002F印染厂\r\n企业\u002F学校\u002F酒店\u002F事业单位团定\r\n拟邀企业名单（规模以上企业）\r\n江苏苏美达、江苏苏豪、苏纺集团、南纺集团、江苏汇鸿、江苏开元、江苏丝绸、江苏东渡、江苏虎豹、江苏华瑞时尚、锦泓时装、森马、柒牌、利郎、依文、希努尔、GXG、博洋、绮丽、红豆、阳光集团、恒力集团、浙江步森服饰、华孚时尚、洁丽雅纺织、巴鲁特服饰、联亚制衣、安徽省服装进出口、富春染织、鸿润集团等\r\n同期活动\r\n1.江苏国际纺织服装供应链大会\r\n2.2026江苏纺织服装产业创新与科技创新融合发展大会\r\n3.长三角纺织服装企业交流会\r\n4.AI赋能江苏纺织服装企业交流会\r\n5.服装产业AI创意场景应用高峰论坛\r\n6.2027\u002F2028秋冬流行趋势发布会\r\n7.采购商对接会 & 品牌供应链对接会","2026江苏国际纺织服装供应链博览会\r\n时间：2026年11月19-21日\r\n地点：南京国际博览中心","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F1-53.png","2026-09-10T12:56:43+08:00",8188418,15455,[591,595,599,600,604],{"id":592,"tenant_id":6,"name":593,"slug":594,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},4503,"供应链博览会","%e4%be%9b%e5%ba%94%e9%93%be%e5%8d%9a%e8%a7%88%e4%bc%9a",{"id":596,"tenant_id":6,"name":597,"slug":598,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7333,"全球供应链","%e5%85%a8%e7%90%83%e4%be%9b%e5%ba%94%e9%93%be",{"id":541,"tenant_id":6,"name":542,"slug":543,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":601,"tenant_id":6,"name":602,"slug":603,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},9414,"供应链协同","%e4%be%9b%e5%ba%94%e9%93%be%e5%8d%8f%e5%90%8c",{"id":605,"tenant_id":6,"name":606,"slug":607,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},13242,"供应链对接","%e4%be%9b%e5%ba%94%e9%93%be%e5%af%b9%e6%8e%a5",305,"xian",{"id":611,"tenant_id":6,"creator_id":7,"title":612,"slug":613,"content":614,"content_json":12,"content_html":614,"reading_time":7,"access_level":7,"excerpt":12,"status":553,"content_type":554,"cover_image":615,"published_at":616,"scheduled_at":544,"author_id":617,"channel_id":544,"category_id":618,"tags":619,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":17,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":634,"like_count":7,"comment_count":7,"author_name":635,"created_at":616,"updated_at":636},73551,"“实数融合”纵深发展：传统产业数字化转型的难点与破解路径","73551","\u003C!-- wp:paragraph -->\n\u003Cp>“实数融合”真正难的地方，不在于企业是否购买了软件，而在于数字技术能否进入生产经营的关键环节，并持续改变决策、协同和价值创造方式。对传统企业而言，数字化转型往往不是一次系统上线，而是一场涉及业务流程、组织分工、数据治理和人才结构的长期调整。许多企业已经意识到转型的必要性，却仍然会在数据打通、场景落地和投入回报等问题上反复受阻。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\n\n\u003C!-- wp:image -->\n\u003Cfigure class=\"wp-block-image\">\u003Cimg src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fwf_img6aa028a7d40535.02197722.webp\" alt=\"传统产业生产现场与数字化平台融合的场景\" \u002F>\u003C\u002Ffigure>\n\u003C!-- \u002Fwp:image -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">“实数融合”不是简单的信息化升级\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>过去不少企业谈数字化，首先想到的是采购一套管理系统、建设一个数据中心，或者在生产线上增加若干传感设备。这些工作可以成为基础，但并不等于完成了转型。系统数量增加、数据采集范围扩大，如果没有进入采购、生产、质量、库存、销售和售后等业务流程，数字化就容易停留在展示层面。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>“实数融合”强调实体经济的真实需求和真实场景对数字技术的牵引作用。实体产业并不是被动接受技术改造的对象，而是提供复杂场景、业务问题和应用价值的重要一方。数字技术只有解决设备利用率不高、订单响应不及时、质量追溯困难、库存积压、能源使用不合理等具体问题，才可能从“可展示的能力”转化为“可持续的经营结果”。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>这也意味着，传统企业不能把数字化转型完全交给信息部门。信息部门擅长系统建设和技术管理，但生产效率、质量波动、供应协同和客户交付等问题，往往掌握在业务部门和一线员工手中。缺少业务参与，项目就可能变成技术部门的独立工程；缺少管理层持续推动，不同部门之间也很难形成统一的数据标准和协作机制。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">难点一：数据打通，卡在流程而不只是接口\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>数据孤岛是传统企业最常见的转型障碍之一。采购系统、生产系统、仓储系统和财务系统各自运行，设备数据又可能处于另一套封闭环境中。即使这些系统之间建立了接口，也不代表数据真正可用。不同部门对客户、产品、物料、订单和设备的定义可能并不一致，同一个对象在不同系统中存在不同编码，导致数据能够传输，却无法直接比较和分析。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>更棘手的是，企业往往缺少对数据质量的持续管理。数据采集不完整、填写口径不一致、历史数据缺失，都会影响后续判断。企业如果一开始就追求建设覆盖全业务、全产业链的庞大平台，容易陷入长期投入和反复调整，业务人员却迟迟看不到实际效果。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>破解数据孤岛，首先要从一个明确业务链条入手，而不是从“把所有数据集中起来”入手。例如，企业可以围绕订单交付、质量追溯或设备维护建立数据闭环，先梳理这一场景涉及的业务节点、责任部门、数据来源和使用结果。只有当企业明确“哪些数据服务于什么决定”，数据治理才不会变成无目标的清洗和搬运。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>在实践中，还需要建立基本的数据责任机制。谁负责采集，谁负责校验，谁有权修改，谁使用结果，都应当在流程中明确。对于关键数据，应统一名称、编码和更新规则；对于暂时无法打通的旧系统，则可以先通过必要的数据交换或人工校验保持业务连续，不必为了追求一次性重构而影响生产。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">难点二：场景落地，不能从技术热词开始\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>传统企业并不缺少数字化概念，真正缺少的是能够被验证、被复制的应用场景。人工智能、大模型、工业互联网和数字孪生等技术具有较强的想象空间，但企业最终需要回答的是：它解决了哪个业务问题，由谁使用，结果如何衡量，失败后如何调整。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>场景选择应当同时满足三个条件：问题真实存在，数据能够获得，改善结果可以观察。如果企业长期存在质量检验依赖人工经验、设备异常难以及时发现、销售预测与生产排程脱节等问题，就可以围绕其中一个环节进行试点。相较于追求宏大的“全域智能化”，一个能够缩短处理时间、减少重复录入或提高异常响应效率的单点项目，更适合成为转型起点。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>场景试点也不能只看系统是否上线。管理者需要在项目启动前明确业务基线和验收方式，例如流程是否减少了重复环节，异常是否能够更早被发现，相关岗位是否真正使用，数据是否能够反向支持决策。这里不宜为了制造成果而设定脱离实际的精确指标，而应根据企业现状建立可追踪的对照关系，让项目结果能够被业务人员理解。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>另一个常见问题是“试点成功、推广失败”。某个车间或某个部门在管理者重点关注下取得效果，并不意味着其他部门可以直接复制。不同工厂、产品和工艺之间可能存在差异，推广前需要重新确认数据条件、流程规则和人员能力。数字化项目应当沉淀为可复用的方法、接口规范和操作流程，而不是只留下一个局部系统。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">难点三：人才短缺，核心是复合能力不足\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>传统企业数字化转型中的人才问题，并不只是缺少程序员或数据分析人员。更大的缺口往往是既懂业务流程、又理解数据和技术边界的复合型人员。生产管理者熟悉现场，却未必能够定义数据需求；技术人员能够搭建系统，却可能不了解工艺中的关键判断；外部服务商掌握工具，却未必理解企业长期经营逻辑。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>因此，企业不能把人才建设简单等同于招聘一个数字化负责人。更有效的做法，是围绕重点场景组建跨部门小组，让业务负责人、信息人员、财务或质量人员以及一线代表共同参与。业务负责人负责确认问题是否值得解决，技术人员负责评估实现路径，一线人员负责检验方案是否符合实际，管理层则负责协调资源和处理部门之间的阻力。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>对于中小企业来说，完全依靠内部培养可能周期较长，借力外部服务商是现实选择。但外部服务商的作用应当是帮助企业建立能力，而不是长期替代企业做决策。采购服务时，企业要重点了解对方是否愿意进入现场、能否解释数据来源、是否支持分阶段验收，以及项目结束后企业能否掌握必要的运营方法。只展示平台功能、不愿意梳理业务流程的服务方案，往往很难真正落地。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>企业还应当改变对员工数字化培训的理解。培训不应只讲系统按钮和操作步骤，更要说明数据从哪里来、为什么需要准确填写、系统结果会如何影响排产、质检和绩效。员工看不到数字化与自身工作的关系，就可能把系统视为额外负担，最终出现“系统有人买、数据无人用”的局面。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">分阶段推进，先形成闭环再扩大范围\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>传统企业推进实数融合，可以按照“诊断、试点、复制、协同”的路径逐步展开。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":3} -->\n\u003Ch3 class=\"wp-block-heading\">第一阶段：从经营问题出发完成诊断\u003C\u002Fh3>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>企业首先应当识别影响经营结果的关键问题，而不是罗列所有可以数字化的环节。管理层可以围绕订单交付、产品质量、设备维护、库存周转、供应商协同和客户服务等方面进行访谈和流程梳理，找出最常发生、最影响结果、又具备一定数据基础的问题。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>诊断的重点不是形成一份漂亮的技术规划，而是回答几个实际问题：当前流程由谁负责，信息在哪些节点丢失，哪些判断依赖个人经验，哪些环节反复录入，问题出现后能否追溯，现有系统为什么没有解决。只有把问题定位到具体流程，后续方案才不容易偏离业务。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":3} -->\n\u003Ch3 class=\"wp-block-heading\">第二阶段：选择单点场景进行小范围验证\u003C\u002Fh3>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>试点应当控制范围，优先选择业务价值清晰、参与部门相对有限、数据条件基本具备的场景。企业可以先在一个车间、一类产品或一条业务链上验证方案，避免同时改动过多流程。试点期间，项目团队要持续记录员工使用情况、数据质量变化和流程反馈，及时修正不合理的设计。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>单点突破并不意味着只做局部优化，而是要为后续扩展留下接口和规则。比如，围绕质量问题建立的数据记录，未来可以继续服务于供应商管理、客户投诉分析和产品改进；围绕设备维护形成的数据，也可以逐步延伸到备件管理和生产排程。场景之间能否衔接，决定了数字化是否能够从“点”走向“线”。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":3} -->\n\u003Ch3 class=\"wp-block-heading\">第三阶段：把有效经验复制到相近业务\u003C\u002Fh3>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>当试点形成稳定流程后，企业再向相近车间、产品或分支机构推广。复制过程中不能简单照搬系统，而要先确认业务差异。对于能够统一的内容，应当形成标准；对于受工艺、区域或客户要求影响的内容，则保留必要的灵活性。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>这一阶段尤其需要管理制度配合。数字化项目如果没有纳入日常经营机制，试点团队一旦更换人员，系统就可能逐渐失去维护。企业应当明确数据维护责任、异常处理流程和持续改进机制，让数字化成果成为正常管理的一部分。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":3} -->\n\u003Ch3 class=\"wp-block-heading\">第四阶段：从企业内部协同走向产业链协同\u003C\u002Fh3>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>当企业内部关键流程逐步贯通后，可以进一步考虑与供应商、经销商和客户之间的数据协作。但产业链协同涉及数据权限、商业利益、标准差异和安全责任，不能只以“连接更多主体”为目标。企业应当先选择合作意愿较强、业务关系稳定、协同收益明确的伙伴，从订单、库存、质量或交付等具体事项切入。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>产业链数字化的价值，不是让所有企业使用同一套系统，而是减少重复沟通和信息延迟，改善供需匹配与协作效率。对于中小企业而言，参与行业平台或借助服务商提供的公共能力，可以降低独立建设的成本，但仍需保留对自身核心数据和业务规则的控制。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">管理者需要防止三种偏差\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第一种偏差是把采购预算当成转型决心。投入硬件和软件只是开始，如果没有业务负责人、组织机制和持续运营，项目很难形成长期价值。管理者应当把注意力从“买了什么”转向“改变了什么”。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第二种偏差是过度追求一次性解决所有问题。数字化转型本身具有长期性，企业的业务、人员和数据条件也会不断变化。先完成小闭环，再根据结果调整方向，通常比一次性建设庞大体系更稳妥。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>第三种偏差是把外部服务商当作“万能钥匙”。服务商可以提供技术、方法和实施经验，但企业必须保留问题定义权、业务规则制定权和效果评价权。只有形成共同工作机制，外部能力才不会变成新的依赖。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">【软盟观察】\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>“实数融合”的推进，关键不在于企业是否拥有最先进的技术，而在于能否把技术放进真实业务，并形成可持续的经营闭环。传统产业的数字化转型具有明显差异，不同企业在规模、工艺、管理基础和人才结构上并不相同，照搬所谓标杆方案往往难以获得预期效果。对管理者而言，更稳妥的路径是以具体问题为入口，以单点场景验证价值，以数据和流程治理夯实基础，再逐步扩大协同范围。对服务商而言，竞争重点也应从展示平台能力转向理解产业、陪伴落地和帮助客户建立自主运营能力。只有实体企业真正获得改善，数字技术才完成了从工具到生产力的转化。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F02e9201fe7982adc.webp","2026-09-08T23:24:20+08:00",8188014,15,[620,622,625,626,630],{"id":231,"tenant_id":6,"name":47,"slug":621,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},"%e6%95%b0%e5%ad%97%e5%8c%96%e8%bd%ac%e5%9e%8b",{"id":411,"tenant_id":6,"name":623,"slug":624,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},"企业数字化转型","%e4%bc%81%e4%b8%9a%e6%95%b0%e5%ad%97%e5%8c%96%e8%bd%ac%e5%9e%8b",{"id":541,"tenant_id":6,"name":542,"slug":543,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":627,"tenant_id":6,"name":628,"slug":629,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},9492,"复合型人才","%e5%a4%8d%e5%90%88%e5%9e%8b%e4%ba%ba%e6%89%8d",{"id":631,"tenant_id":6,"name":632,"slug":633,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},11882,"数据闭环","%e6%95%b0%e6%8d%ae%e9%97%ad%e7%8e%af",452,"李明哲-热点捕手","2026-09-08T23:30:46+08:00",{"id":638,"tenant_id":6,"creator_id":7,"title":639,"slug":640,"content":641,"content_json":12,"content_html":641,"reading_time":7,"access_level":7,"excerpt":12,"status":553,"content_type":554,"cover_image":12,"published_at":642,"scheduled_at":544,"author_id":643,"channel_id":544,"category_id":644,"tags":645,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":17,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":659,"like_count":7,"comment_count":7,"author_name":660,"created_at":642,"updated_at":661},73507,"2027甘肃石油天然气化工展|西北石油天然气化工展","73507","2027甘肃（兰州）石油天然气化工产业博览会\r\n\r\n展览时间：2027年5月14日‑16日\r\n展览地点：兰州·丝路绿地国际会展中心\r\n\r\n一、展会基本信息\r\n\r\n甘肃作为我国西部重要的能源化工基地，油气资源禀赋突出，石化、煤化工产业集群优势显著，辐射新疆、青海、宁夏、内蒙古等西北能源核心区域。在产业技改升级、安全生产强化、节能环保改造、数字化智慧工厂建设的大背景下，西部石油天然气化工行业迎来广阔的市场机遇。\r\n\r\n为进一步推动西北地区石油天然气化工产业链协同发展，促进新技术、新装备成果转化，搭建企业展示交流、商贸洽谈、项目合作的专业化平台，2027中国（甘肃）石油天然气化工产业博览会定于2027年5月14‑16日，在兰州·丝路绿地国际会展中心隆重举办。\r\n\r\n本届博览会聚焦油气勘探开采、油气储运装备、炼化与煤化工、精细化工新材料、防爆安全应急装备、三废治理节能环保、智慧石化数字化等全产业链板块，集中展示行业前沿技术与先进设备。大会将汇聚油田企业、炼化工厂、化工园区、工程总包单位、设备制造厂商、科研院校、渠道经销商及专业采购代表团，实现上下游精准对接。\r\n\r\n展会期间同期举办：西北石油天然气化工产业发展高峰论坛、化工安全生产专题研讨会、产业链供需采购对接会、新技术新产品专场发布会等系列配套活动，解读产业政策导向，分享前沿技术案例，挖掘西部项目商机。\r\n\r\n在此，我们诚挚邀请贵单位莅临本次盛会，参展展示、参观交流、洽谈合作，共拓西北能源化工市场，携手助力西部石化产业高质量发展！\r\n\r\n二、展览范围\r\n\r\n1. 油气勘探开采装备：钻井设备、测井仪器、采油采气设备、井下工具、油田专用机械、压裂装备及配套零部件；\r\n2. 油气储运装备：输油输气管道、泵阀设备、压力容器、储罐装备、密封产品、LNG\u002FCNG储运设备、输送监控系统；\r\n3. 炼化及煤化工技术装备：炼化成套设备、换热分离设备、仪器仪表、自动化控制系统、煤化工成套装置；\r\n4. 精细化工与新材料：特种化工原料、防腐材料、高分子材料、化工助剂等新材料产品与技术；\r\n5. 安全应急防爆装备：防爆电气、泄漏检测报警设备、化工消防救援装备、个体防护、安全监测监控系统；\r\n6. 节能环保技术装备：化工废水、废气、固废处理，VOCs治理、节能改造、资源循环利用技术装备；\r\n7. 智慧石化数字化：工业互联网、物联网传感、智能工厂解决方案、数字化运维管理系统。\r\n\r\n三、参会对象\r\n\r\n各油气开采企业、炼化企业、煤化工企业、化工园区管委会、工程建设与EPC总包单位、设备生产制造企业、安全环保服务机构、经销代理商、科研院所、行业协会等。\r\n\r\n展位价格\r\n标准展位 9800 元／个（9平方米）\r\n豪华展位 12800 元／个（9平方米）\r\n注：双开口加收1000元\r\n微型特装：29800 （含搭建）\r\n室内光地：1000 元／平方米（36平方米起）\r\n\r\n联络方式\r\n上海达利雅会展服务有限公司\r\n联系人：余 鹏","2026-09-08T21:34:52+08:00",8188027,15450,[646,650,654,655],{"id":647,"tenant_id":6,"name":648,"slug":649,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},2384,"化工新材料","%e5%8c%96%e5%b7%a5%e6%96%b0%e6%9d%90%e6%96%99",{"id":651,"tenant_id":6,"name":652,"slug":653,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},6846,"工业互联网","%e5%b7%a5%e4%b8%9a%e4%ba%92%e8%81%94%e7%bd%91",{"id":541,"tenant_id":6,"name":542,"slug":543,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":656,"tenant_id":6,"name":657,"slug":658,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},8195,"产业高质量发展","%e4%ba%a7%e4%b8%9a%e9%ab%98%e8%b4%a8%e9%87%8f%e5%8f%91%e5%b1%95",369,"2715","2026-09-08T21:36:25+08:00",{"id":663,"tenant_id":6,"creator_id":7,"title":664,"slug":665,"content":666,"content_json":12,"content_html":666,"reading_time":7,"access_level":7,"excerpt":12,"status":553,"content_type":554,"cover_image":667,"published_at":668,"scheduled_at":544,"author_id":669,"channel_id":544,"category_id":670,"tags":671,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":17,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":689,"like_count":7,"comment_count":7,"author_name":690,"created_at":668,"updated_at":668},72895,"何庭波最新论文再谈EUV受限，AI算力自主的“另寻出路”会指向哪里","72895","\u003C!-- wp:paragraph -->\n\u003Cp>9月4日，华为半导体负责人何庭波再次在中科院科技论文预发布平台ChinaXiv更新论文，这次的主题聚焦在一颗"本该烧毁"的堆叠芯片上。论文试图解释一个看似矛盾的现象：为什么把大量晶体管垂直堆叠、单位面积热量密度大幅上升的芯片，反而能做到更省电。何庭波给出的核心判断并不复杂——过去我们对芯片功耗的关注，大多集中在"计算"本身，却低估了数据在芯片内部"移动"所消耗的能量。用她论文里的比喻来说，一个人工作日消耗的能量，并不主要来自坐在办公桌前工作的那几个小时，通勤同样消耗巨大。芯片也是如此，晶体管完成计算需要能量，数据在晶体管、模块和不同电路之间长距离传输，同样需要能量。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\n\n\u003C!-- wp:image -->\n\u003Cfigure class=\"wp-block-image\">\u003Cimg src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fwf_img6a9e4995c48f94.88907717.webp\" alt=\"芯片内部数据移动与能量消耗概念示意图\" \u002F>\u003C\u002Ffigure>\n\u003C!-- \u002Fwp:image -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">从"计算功耗"转向"移动功耗"\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>何庭波这篇论文的出发点，是对行业惯性思维的纠偏。如果问芯片工程师未来最重要的方向是什么，3D集成很可能会得到大量答案；但如果追问什么可能最终阻碍3D集成，很多有经验的工程师会给出同一个答案——热。原因并不难理解：把更多晶体管堆进同一块面积，单位面积产生的功率最终都会转化为热量；而在垂直堆叠结构中，下层晶体管的热量还要穿过上层材料才能散出去。一旦热量无法及时排出，芯片温度升高，频率、功耗和可靠性都会跟着受影响。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>但何庭波认为，这里面藏着一个容易被忽略的问题。芯片消耗的能量，并不只来自计算本身，还来自数据在内部的长距离搬运。重构电路结构、缩短信号传输距离、压缩传输延迟，把"时间维度"的优化转化为性能、功耗和温控的突破——这正是"韬定律"试图开辟的路径。换句话说，3D堆叠之所以可能更省电，不是因为折叠本身神奇，而是因为折叠缩短了数据移动的路径，让"通勤"成本大幅下降。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">EUV受限下的"另寻出路"\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>这篇论文的发布时机，让外界很难不把它和华为在先进光刻设备上的处境联系起来。无法获取最先进的光刻设备，意味着在传统工艺微缩路径上，华为必须接受物理层面的现实约束。而"韬定律"从提出到持续更新，本质上是在回答同一个问题：当最先进的制造工具不可得时，算力性能还能从哪里挤出来？\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>答案指向三个方向。其一是工艺层面的替代，通过3D堆叠、先进封装等手段，在同样甚至更落后的制程节点上，用空间换性能、用架构换能效；其二是架构层面的重构，把优化重点从晶体管计算转移到数据传输，通过缩短信号路径来降低功耗、提升效率；其三是生态层面的配套，包括与之相适应的设计工具链、EDA流程和产业链协同。这三个方向并非彼此独立，而是相互咬合——新的架构需要新的设计工具支撑，新的工艺需要产业链上下游同步调整。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>值得注意的是，何庭波在论文中给出的判断标准颇具深意：这条定律未来十年的评判标准，不会是折叠堆叠跑得多快，而是它们奔跑时燃耗多低。把"能耗"而非"速度"作为核心标尺，既是技术路径的选择，也暗含对现实约束的清醒认知。在无法依赖最先进制程的情况下，能效比可能比绝对性能更具战略价值。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:heading {\"level\":2} -->\n\u003Ch2 class=\"wp-block-heading\">算力自主的产业逻辑\u003C\u002Fh2>\n\u003C!-- \u002Fwp:heading -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>对关注国产AI算力的人来说，"韬定律"的持续更新释放的信号值得细品。AI训练和推理场景与智能手机场景有本质不同——AI工作负载面对的并非单颗芯片，而是数百乃至数千颗芯片像一台机器一样协同运行。过去十年，AI系统的总算力大约增长了六个数量级，这种规模效应放大了功耗问题的严重性。一颗芯片省下的每一瓦电，在万卡集群里都会被乘以成千上万倍。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>从这个角度看，华为在"韬定律"上的投入，与其说是技术论文的学术探索，不如说是为AI算力自主铺设的一条现实路径。当先进制程工具不可得时，能效优化、架构创新和系统级协同，就成了为数不多可以自主掌控的变量。何庭波在论文中说"τ的用武之地不止一处"，这句话的潜台词或许是：在算力自主的赛道上，芯片层面的突破只是起点，围绕新架构的软件生态、工具链和产业协同，才是真正决定成败的战场。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->\n\n\u003C!-- wp:paragraph -->\n\u003Cp>对于关注国产AI算力产业链的人来说，与其纠结于具体技术参数的细节，不如把握住这条产业逻辑的主线：在先进制造工具受限的背景下，算力性能的提升正在从"依赖工艺微缩"转向"依赖架构创新和系统优化"。谁能把功耗账算得更清楚，谁就能在算力自主的竞争中占据更有利的位置。\u003C\u002Fp>\n\u003C!-- \u002Fwp:paragraph -->","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fwf_img6a9e4995c48f94.88907717.webp","2026-09-07T13:35:51+08:00",8188001,15115,[672,676,677,681,685],{"id":673,"tenant_id":6,"name":674,"slug":675,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},4736,"AI算力","ai%e7%ae%97%e5%8a%9b",{"id":541,"tenant_id":6,"name":542,"slug":543,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":678,"tenant_id":6,"name":679,"slug":680,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7951,"算力产业链","%e7%ae%97%e5%8a%9b%e4%ba%a7%e4%b8%9a%e9%93%be",{"id":682,"tenant_id":6,"name":683,"slug":684,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},16678,"3D堆叠","3d-stacking",{"id":686,"tenant_id":6,"name":687,"slug":688,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},16679,"算力自主","computing-power-autonomy",186,"沈裕-追稿冠军",{"id":692,"tenant_id":6,"creator_id":7,"title":693,"slug":694,"content":695,"content_json":12,"content_html":695,"reading_time":7,"access_level":7,"excerpt":696,"status":553,"content_type":554,"cover_image":697,"published_at":698,"scheduled_at":544,"author_id":669,"channel_id":544,"category_id":699,"tags":700,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":727,"is_pinned":17,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":728,"like_count":7,"comment_count":7,"author_name":690,"created_at":698,"updated_at":729},71656,"【每日AI必读资讯】AI智能体与大模型最新动态精选10条（2026年08月31日）","71656","\u003C!-- 软盟资讯·每日AI必读资讯 2026-08-31（全内联样式版·品牌色，WordPress经典编辑器直接粘贴） -->\r\n\u003C!-- 用法：经典编辑器切到\"文本\"标签页 → 整段粘贴全部代码 → 发布 -->\r\n\u003Cdiv class=\"page\" style=\"font-family: 'Microsoft YaHei','PingFang SC','Helvetica Neue',Arial,sans-serif; background: #F6F7F8; color: #2b2b2b; line-height: 1.9; max-width: 960px; margin: 0 auto; padding: 0 16px 48px;\">\u003Cheader class=\"site-header\" style=\"margin: 0; padding: 36px 24px 28px; box-sizing: border-box; background: linear-gradient(135deg, #5d6166 0%, #47494d 100%); color: #ffffff; text-align: center; border-radius: 0 0 14px 14px; margin-bottom: 28px;\">\u003Cspan class=\"brand\" style=\"margin: 0; padding: 3px 18px; box-sizing: border-box; display: inline-block; font-size: 14px; letter-spacing: 4px; border: 1px solid rgba(233,188,96,.6); border-radius: 999px; margin-bottom: 16px; color: #ffffff !important;\">软盟资讯\u003C\u002Fspan>\r\n\u003Ch1 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 30px; line-height: 1.5; margin-bottom: 8px; color: #ffffff !important;\">\u003Cspan style=\"font-size: 16px;\">每日AI必读资讯\u003C\u002Fspan>\u003Cspan style=\"font-size: 16px;\">\u003Cspan class=\"date\" style=\"margin: 0; padding: 0; box-sizing: border-box; color: #e9bc60 !important;\">（2026年08月31日）\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fh1>\r\n\u003Cp class=\"meta\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13px; color: #c9cdd2 !important; margin-top: 10px;\">编辑：软盟资讯编辑部 ｜ 数据来源：全网大媒体与官方渠道 ｜ 共收录 10 条当日重磅资讯\u003C\u002Fp>\r\n\r\n\u003C\u002Fheader>\u003C!-- ===== 文章概述（约100字） ===== -->\r\n\r\n\u003Csection class=\"overview\" style=\"margin: 0; padding: 24px 28px; box-sizing: border-box; background: #fff; border-radius: 12px; box-shadow: 0 2px 10px rgba(83,86,90,.08); margin-bottom: 32px; border-top: 4px solid #E9BC60;\">\r\n\u003Ch2 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 18px; color: #a8791f; margin-bottom: 10px; display: flex; align-items: center; gap: 8px;\">\u003Cspan style=\"color: #a8791f; margin-right: 8px;\">▍\u003C\u002Fspan>文章概述\u003C\u002Fh2>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 15px; color: #444; text-align: justify;\">【每日AI必读资讯】今日AI\u003Cspan style=\"font-size: 16px;\">\u003Cspan class=\"date\" style=\"margin: 0; padding: 0; box-sizing: border-box; color: #e9bc60 !important;\">（2026年08月31日）\u003C\u002Fspan>\u003C\u002Fspan>圈看点十足：人民日报聚焦数博会，AI加速走向可量产、可规模化；国家数据局宣布数据基础设施覆盖十五个重点行业；中国开放权重模型融入全球产业链；A股半年报揭晓AI成业绩核心引擎；OpenAI新模型Astra内测曝光、Bel被曝十万亿参数；黄仁勋谈内存涨价；八大巨头万亿豪赌AI。\u003C\u002Fp>\r\n\r\n\u003C\u002Fsection>\r\n\u003Ch2 class=\"section-title\" style=\"margin: 36px 0 24px; padding: 0; box-sizing: border-box; text-align: center; color: #53565a; font-size: 20px; letter-spacing: 2px;\">\u003Cspan style=\"color: #c9cdd2; margin-right: 12px; font-weight: normal;\">───\u003C\u002Fspan>今日十大热点\u003Cspan style=\"color: #c9cdd2; margin-left: 12px; font-weight: normal;\">───\u003C\u002Fspan>\u003C\u002Fh2>\r\n\u003C!-- ===== 新闻 01 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">01\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">人民日报数博会观察：数据要素筑基，人工智能加速落地应用\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（人民日报刊发）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，人民日报以“数据要素筑基，人工智能加速落地应用”为题刊发数博会观察报道。8月28日至30日，2026中国国际大数据产业博览会在贵州贵阳举办，机器人互动展区人机双向互动场景持续上演。报道指出，从消费服务到工业巡检，从文化创意到民生康养，AI正朝着可实用、可量产、可规模化应用的方向加速演进，数据要素正在成为支撑这一进程的根基性资源，高质量数据集的生产加工已成为AI产业普遍面临的现实课题。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>人民网－人民日报\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">党报头版观察落笔“可实用、可量产、可规模化”三个词，给AI产业阶段定调意味明显——讲故事的时代过去了，交作业的时刻到了。当“高质量数据从哪来”成为全民议题，AI竞争的胜负手正从模型参数转向数据要素。数据如同粮食，没有好粮食，再好的厨艺也做不出满汉全席。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 新闻 02 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">02\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">国家数据局：全国数据基础设施已覆盖15个重点行业\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（证券日报报道；数博会“词元交流活动”于8月28日-30日举行）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，证券日报报道，在数博会“词元交流活动”上，国家发展改革委党组成员、国家数据局局长刘烈宏表示，全国数据基础设施已覆盖15个重点行业。本届数博会以“词元——数据要素价值释放新路径”为主题，吸引1.6万余名嘉宾注册参会、372家中外企业参展。刘烈宏指出，词元作为数据要素价值释放的新路径，正为人工智能服务实体经济打开新的空间，数据基础设施的广覆盖为词元工厂、可信数据空间等新业态提供了坚实底座。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>证券日报（人民网转载）、今日头条\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">“词元”首次成为数博会的主题词，标志着这一AI计量单位已从技术术语升级为国家数据战略的关键抓手。15个重点行业的数据基础设施覆盖，意味着“数据高速公路”的主体工程已基本成型。当数据要素、算力网络、词元工厂三张网互相咬合，中国AI产业化的底层骨架正在合拢。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 新闻 03 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">03\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">经济参考报：中国开放权重模型加速融入全球AI产业链\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（经济参考报刊发，新华网、新浪财经等转载）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，经济参考报报道，随着Kimi、DeepSeek等中国开放权重模型能力持续提升，越来越多海外AI企业开始在中国开放权重模型基础上进行后训练，并据此开发自主模型和产品。中国开放权重模型参与海外AI研发的形式日益多样，从直接作为基础模型接受进一步训练，延伸到生成合成数据、提供模型架构和训练方法参考。报道指出，中国模型正加速融入全球AI产业链，成为全球开发者创新的重要底座。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>经济参考报、新华网、新浪财经\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">权威财经媒体系统梳理“中国模型出海”现象，给出的判断相当克制却有力：不是单点输出，而是全链条融入。当海外团队用中国模型后训练、用中国架构参考研发，“开源”已从技术选择变成产业影响力。全球AI的分工地图上，中国正从“用模型的人”变成“被依赖的底座”，这一角色转变的意义，比榜单第一更深远。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 新闻 04 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">04\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">央视新闻聚焦：国产大模型与国产算力平台“双向奔赴”\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（央视新闻客户端报道，中国新闻网转载）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，央视新闻客户端报道国产大模型与算力平台的“双向奔赴”。报道回顾：不久前一款匿名模型在全球多模型聚合平台OpenRouter上大规模测试并成为当周最受欢迎模型，谜底揭晓正是智谱最新大模型，而其测试流量全部由国产算力承载。今年以来多个大模型发布后，国产算力均迅速完成适配。报道探讨了大模型与算力平台快速协同背后的机遇与挑战：一方面国产软硬协同让效率与成本不断逼近国际主流水平，另一方面适配标准、生态工具链仍需持续完善。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>央视新闻客户端、中国新闻网\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">“双向奔赴”这个词精准概括了国产AI软硬协同的现状：模型发布即适配、算力就绪即承接，过去“模型等芯片、芯片等应用”的死循环正在被打破。央视把镜头对准产业链协同而非单一产品，说明国产算力生态已从“验证期”进入“磨合期”。软硬一体才是护城河，这场协同跑得越顺，中国AI的底盘就越稳。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 新闻 05 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">05\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">A股半年报全景扫描：AI成5550家上市公司业绩增长核心引擎\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（中国证券报刊发；半年报披露截至8月30日）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，中国证券报刊发A股半年报全景扫描。据Wind数据，截至8月30日22时50分，A股已有5550家上市公司披露2026年半年报，AI需求爆发成为本轮A股业绩增长的核心引擎。从芯片到算力服务，寒武纪、江波龙等算力产业链龙头企业纷纷交出翻倍级增长答卷。与此同时，AI正从企业研发投入、基础设施建设向全行业落地应用渗透，加速辐射千行百业，产业链结构性分化特征显著。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>中国证券报、中国经济网\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">5550份半年报给出一份残酷而清晰的分野：吃到AI红利的翻倍增长，错过AI周期的继续磨底。寒武纪们的“翻倍级答卷”证明，AI已从“讲故事”进入“出利润”阶段，资本市场用真金白银完成了对AI产业逻辑的投票。但也要警惕分化加剧后的估值泡沫——业绩兑现速度，才是决定这轮AI行情能走多远的最终标尺。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 新闻 06 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">06\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">OpenAI新模型Astra内测曝光：零样本生成3D交互网页，前端圈震动\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（腾讯研究院AI速递、多家媒体当日报道）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，OpenAI扩大新模型Astra内部测试的消息持续发酵，测试代号mozaik-alpha-fdm。开发者实测结果显示，Astra在Max模式下实现零样本一次生成3D等距地图与完整交互网页，细节把控力惊人，开发者惊呼“前端已溶解”。核心突破包括：端到端多智能体编排、超长程任务保持、持久化推理与即时自我纠错，生成过程中可反复自我修正。另有消息称Astra最快下周四正式发布，前端开发行业预计将迎来一轮深刻重构。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>腾讯研究院AI速递、搜狐科技、凤凰网科技\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">“零样本生成完整交互网页”若坐实，前端开发的“手艺活”边界将被大幅压缩。但更值得注意的是Astra展示的工程范式转变：多智能体编排+持久化推理+即时自我纠错，AI不再是一问一答的工具，而是能长跑、能返工的“数字员工”。对开发者而言，恐慌大可不必，但“只会写页面”的岗位，确实到了主动升级的时候。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 新闻 07 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">07\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">ChatGPT新模型Bel被曝预训练完成，参数规模高达10万亿\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（凤凰网科技援引新智元报道）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，据凤凰网科技援引新智元报道，OpenAI新模型Bel被曝预训练已完成，参数规模高达10万亿，堪称“天文级”。同日曝出的消息还包括：OpenAI最强模型Astra可能于下周四发布，目前已扩大测试范围；内部机密文件显示，OpenAI自研推理芯片“Jalapeño”的底层代码已正式由AI接管，AI编写的核心代码运行速度比人类顶尖工程师快1.8倍，OpenAI内部已出现AI自我递归的迹象。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>凤凰网科技（新智元）\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">10万亿参数、AI写芯片底层代码、递归自我改进——这三条消息叠加，既是技术狂欢，也是伦理倒计时。“AI写的代码比人类快1.8倍”意味着AI已开始接管自己的基础设施，人类退出技术核心圈的速度可能比预期更快。当递归自我改进从论文走进公司内部流程，图灵测试反而成了最不需要担心的问题。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 新闻 08 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">08\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">黄仁勋最新采访谈内存涨价：“这是好事”，英伟达财报日魔咒再显\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（澎湃新闻报道）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，澎湃新闻报道黄仁勋最新采访。针对存储器价格持续上涨，黄仁勋直言“这是好事”，认为内存涨价反映的是AI算力需求的真实爆发。报道同时梳理了英伟达的“财报日魔咒”：过去8个财报日中，英伟达股价有6次下跌，2027财年第二季度财报发布后股价一度跌超3%、收盘跌1.59%；而在8月28日，英伟达全天大涨8.7%。市场对AI芯片巨头的高预期与高波动并存，“业绩再好也难逃回调”成为英伟达投资者的新常态。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>澎湃新闻（字母榜）\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">内存涨价让整机厂商叫苦，黄仁勋却说“这是好事”——立场决定视角，但他的逻辑并不错：存储涨价恰恰是AI需求井喷的体温计。真正耐人寻味的是“财报日魔咒”：营收翻倍、指引超预期，股价照跌不误。这说明市场已把英伟达的强大当成理所当然，开始为“AI资本开支何时见顶”定价。神话股的宿命，就是永远活在证明自己的路上。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 新闻 09 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">09\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">八大科技巨头万亿豪赌AI：四巨头今年资本开支合计已超6000亿美元\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（新浪财经报道）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，新浪财经刊发深度报道，解析苹果、微软、谷歌、Meta等八大科技巨头的万亿级AI豪赌。仅微软、谷歌、亚马逊、Meta四家2026财年资本开支合计已超过6000亿美元，这场覆盖算力基建、大模型自研与生态落地的集体押注，已成为当前全球科技领域规模最大的战略性资本扩张。报道逐一剖析各巨头的下注方向与风险敞口：谁在赌“基建霸权”、谁在赌“应用起飞”、谁在赌“生态闭环”，以及巨额投入背后潜在回报周期的巨大不确定性。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>新浪财经（看点资讯）\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">6000亿美元是什么概念？超过多数国家的年度GDP，八大巨头却把它押在了同一场技术革命上。历史告诉我们：重大技术革命的赢家往往不是花钱最多的，但巨头们别无选择——不押注就等于退出牌桌。真正的悬念是：当资本开支的复利效应遇上回报兑现的迟滞，市场耐心还剩多少？这场豪赌的清算日，可能比想象中来得更早。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 新闻 10 ===== -->\r\n\r\n\u003Carticle class=\"news-card\" style=\"margin: 0; padding: 0; box-sizing: border-box; background: #fff; border-radius: 12px; margin-bottom: 26px; box-shadow: 0 2px 10px rgba(83,86,90,.07); overflow: hidden; transition: box-shadow .25s;\">\r\n\u003Cdiv class=\"news-head\" style=\"margin: 0; padding: 20px 26px 0; box-sizing: border-box; display: flex; align-items: flex-start; gap: 14px;\">\r\n\r\n\u003Cspan class=\"num\" style=\"margin: 0; padding: 0; box-sizing: border-box; flex-shrink: 0; width: 44px; height: 44px; border-radius: 10px; background: linear-gradient(135deg, #53565A, #7d8186); color: #fff; font-size: 18px; font-weight: bold; display: flex; align-items: center; justify-content: center; margin-top: 2px;\">10\u003C\u002Fspan>\r\n\u003Ch3 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 19px; color: #53565a; line-height: 1.55;\">美国出口管制“误伤”复盘：Anthropic最强模型断供，本土用户也遭殃\u003C\u002Fh3>\r\n\u003C\u002Fdiv>\r\n\u003Cdiv class=\"news-body\" style=\"margin: 0; padding: 14px 26px 22px; box-sizing: border-box;\">\r\n\u003Cp class=\"time\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻发生时间：\u003C\u002Fspan>2026年8月31日（新浪财经深度报道）\u003C\u002Fp>\r\n\u003Cp class=\"desc\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3c3c3c;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻描述：\u003C\u002Fspan>8月31日，新浪财经刊发深度复盘报道：2026年6月12日，美国商务部部长霍华德·卢特尼克致信Anthropic，一纸出口管制令迫使这家顶尖AI公司对全球非美用户“一刀切”断供自家最强模型，连美国本土用户也遭误伤——最强模型上线仅三天即遭断供。报道详述了管制令的执行细节、企业合规的两难困境以及全球开发者的应对之策，“Anthropic得了美国病”成为圈内调侃。该事件再次凸显地缘政治对全球AI生态的深层扰动。\u003C\u002Fp>\r\n\u003Cp class=\"source\" style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 13.5px; margin-bottom: 8px; text-align: justify; color: #878c93;\">\u003Cspan class=\"label\" style=\"margin: 0; padding: 0; box-sizing: border-box; display: inline-block; min-width: 92px; font-weight: bold; color: #53565a;\">新闻来源：\u003C\u002Fspan>新浪财经（看点资讯）\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"observe\" style=\"margin: 0; padding: 14px 18px; box-sizing: border-box; margin-top: 14px; background: #F4F5F7; border-left: 4px solid #E9BC60; border-radius: 0 8px 8px 0;\">\r\n\r\n\u003Cspan class=\"tag\" style=\"margin: 0; padding: 1px 10px; box-sizing: border-box; display: inline-block; background: #53565A; color: #fff; font-size: 12.5px; border-radius: 4px; margin-bottom: 6px; letter-spacing: 1px;\">软盟观察\u003C\u002Fspan>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 14.5px; margin-bottom: 8px; text-align: justify; color: #3e4145;\">一纸管制令，最强模型上线三天就“夭折”于全球市场，连自家用户都被误伤——这不是政策执行的艺术，而是政策设计的灾难。对全球开发者而言，这次断供是最生动的一课：把生产建立在任何单一国家的闭源模型上，都等于把钥匙放在别人家门上。开放权重模型的价值，在每一次断供事件后都会被重新定价。\u003C\u002Fp>\r\n\r\n\u003C\u002Fdiv>\r\n\u003C\u002Fdiv>\r\n\u003C\u002Farticle>\u003C!-- ===== 结尾概述 ===== -->\r\n\r\n\u003Csection class=\"ending\" style=\"margin: 0; padding: 26px 30px; box-sizing: border-box; background: #fff; border-radius: 12px; box-shadow: 0 2px 10px rgba(83,86,90,.08); margin-top: 34px; border-top: 4px solid #53565A;\">\r\n\u003Ch2 style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 18px; color: #53565a; margin-bottom: 10px; display: flex; align-items: center; gap: 8px;\">\u003Cspan style=\"color: #53565a; margin-right: 8px;\">▍\u003C\u002Fspan>结尾概述\u003C\u002Fh2>\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box; font-size: 15px; color: #3c3c3c; text-align: justify;\">纵观8月31日的AI行业动态，“落地”与“豪赌”构成了一枚硬币的两面。国内方面，人民日报数博会观察为AI产业定调“可实用、可量产、可规模化”，国家数据局披露数据基础设施覆盖15个重点行业，中国开放权重模型加速融入全球产业链，国产大模型与算力平台完成“双向奔赴”，A股5550份半年报则证明AI已实实在在成为业绩核心引擎。国际方面，OpenAI的Astra与10万亿参数Bel接连曝光，昭示模型军备竞赛仍在加码；八大巨头超6000亿美元的资本开支与黄仁勋“内存涨价是好事”的乐观，展现了巨头们的豪赌底气；而Anthropic断供事件则提醒世界，地缘政治的阴影从未远离AI产业。当狂奔的技术遇上分化的市场与摇摆的规则，AI的下半场注定是机会与风险共舞的深水区。软盟资讯将持续追踪，与您共见每一次潮起。\u003C\u002Fp>\r\n\r\n\u003C\u002Fsection>\u003C!-- ===== 页脚 ===== -->\r\n\r\n\u003Cfooter class=\"site-footer\" style=\"margin: 0; padding: 0; box-sizing: border-box; text-align: center; color: #98a3af; font-size: 12.5px; margin-top: 36px; line-height: 1.8;\">\r\n\u003Cp style=\"margin: 0; padding: 0; box-sizing: border-box;\">软盟资讯 · 【每日AI必读资讯】AI智能体与大模型最新动态精选10条（2026年08月31日）｜ 编辑：软盟资讯编辑部\u003C\u002Fp>\r\n\u003Cp class=\"disclaimer\" style=\"margin: 0; padding: 0; box-sizing: border-box; color: #b0b8c1; margin-top: 6px;\">本报告基于2026年8月31日全网大媒体及官方渠道公开信息整理，仅供参考，不构成任何投资建议。\u003C\u002Fp>\r\n\r\n\u003C\u002Ffooter>\u003C\u002Fdiv>","【每日AI必读资讯】今日AI（2026年08月31日）圈看点十足：人民日报聚焦数博会，AI加速走向可量产、可规模化；国家数据局宣布数据基础设施覆盖十五个重点行业；中国开放权重模型融入全球产业链；A股半年报揭晓AI成业绩核心引擎；OpenAI新模型Astra内测曝光、Bel被曝十万亿参数；黄仁勋谈内存涨价；八大巨头万亿豪赌AI。","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F08\u002F每日AI必读资讯.png","2026-08-31T10:39:56+08:00",15446,[701,705,706,707,711,715,719,723],{"id":702,"tenant_id":6,"name":703,"slug":704,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},6789,"国家数据局","%e5%9b%bd%e5%ae%b6%e6%95%b0%e6%8d%ae%e5%b1%80",{"id":541,"tenant_id":6,"name":542,"slug":543,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":678,"tenant_id":6,"name":679,"slug":680,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":708,"tenant_id":6,"name":709,"slug":710,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},8725,"最新热点资讯","%e6%9c%80%e6%96%b0%e7%83%ad%e7%82%b9%e8%b5%84%e8%ae%af",{"id":712,"tenant_id":6,"name":713,"slug":714,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},8734,"开放权重模型","%e5%bc%80%e6%94%be%e6%9d%83%e9%87%8d%e6%a8%a1%e5%9e%8b",{"id":716,"tenant_id":6,"name":717,"slug":718,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},9036,"可信数据空间","%e5%8f%af%e4%bf%a1%e6%95%b0%e6%8d%ae%e7%a9%ba%e9%97%b4",{"id":720,"tenant_id":6,"name":721,"slug":722,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},9268,"高质量数据集","%e9%ab%98%e8%b4%a8%e9%87%8f%e6%95%b0%e6%8d%ae%e9%9b%86",{"id":724,"tenant_id":6,"name":725,"slug":726,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},11809,"大模型与算力","%e5%a4%a7%e6%a8%a1%e5%9e%8b%e4%b8%8e%e7%ae%97%e5%8a%9b","每日AI必读资讯,每日AI快讯,每日AI快讯,每日ai必读资讯",400,"2026-09-01T11:57:50+08:00",{"id":731,"tenant_id":6,"creator_id":7,"title":732,"slug":733,"content":734,"content_json":12,"content_html":734,"reading_time":7,"access_level":7,"excerpt":732,"status":553,"content_type":554,"cover_image":735,"published_at":736,"scheduled_at":544,"author_id":737,"channel_id":544,"category_id":738,"tags":739,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":17,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":765,"like_count":7,"comment_count":7,"author_name":766,"created_at":736,"updated_at":736},71391,"2026中国国际涂料油墨及粘合剂展览会|粉末涂料、涂装设备与原材料展览会","71391","2026中国国际涂料油墨及粘合剂展览会|粉末涂料、涂装设备与原材料展览会\r\nChina International Coatings InksAnd Adhesives Exhibition 2026\r\n时间：2026年12月9-11日\r\n地点：上海新国际博览中心\r\n\r\n展会概况：\r\n涂料行业作为国民经济的“晴雨表”，其发展水平直接反映一个国家的工业化进程和科技实力。当前，全球涂料市场正处于结构调整与技术变革的关键期，环保化、功能化、高端化成为不可逆的趋势。中国涂料行业在规模扩张的基础上，正加速向质量效益型转变，面临“由大变强”的战略机遇。\r\n未来，行业发展将呈现以下特征：一是环保政策驱动下，绿色涂料成为市场主流，水性、粉末、无溶剂等低VOCs产品渗透率持续提升，传统溶剂型涂料市场份额进一步收缩。二是技术创新成为核心竞争力，企业需加大研发投入，突破高端树脂合成、功能性添加剂等关键技术，实现从“跟随模仿”到“自主创新”的跨越。三是市场集中度加速提升，行业并购整合常态化，头部企业通过规模效应和品牌优势主导市场，中小企业则需向细分领域、区域市场或专业化服务转型。四是产业链协同发展趋势明显，上游原材料企业、下游应用企业与涂料生产企业将加强合作，构建绿色供应链体系，提升整体竞争力。尽管面临环保压力、技术壁垒、国际竞争等多重挑战，但随着中国经济转型升级、新型城镇化推进及新兴产业崛起，涂料行业仍具备广阔的发展空间。企业需抓住绿色转型与高端化机遇，以技术创新为引擎，以品牌建设为支撑，以市场需求为导向，推动行业向高质量发展迈进，实现从“涂料大国”到“涂料强国”的历史性跨越。\r\n历届展会吸引了三木、长安仁恒、天普、钛海、鲁北化工、绿色家园、七彩、华源颜料、巴富德、申兰华、瑞彩、胜达祥伟、道恩、洪汇、阿科力、颜钛、霍普、黑猫、罗斯夫、中核钛白、三爱富、天原、广源集团、辉虹、华明泰、布勒、舒驰、盛华实业、派勒智能、法孚莱、通广机械、世赫、松晓、儒佳、光华、擎天、依斯特等等众多知名品牌厂商入驻。组委会在展后对展商信息的调查表明：93%的参展商对本届展览会的展出效果表示满意，90%的参展商有浓厚的兴趣表示将再次参加下届展览会。对观众信息的调查表明：87%的观众表示愿意将该展会推荐给商业伙伴或同事，82%的观众表示将会继续参观2026年展会，我们坚信下一届展会通过展商支持和组织单位多方的共同努力，将会越办越好。\r\n\r\n行业盛会：\r\n各有关涂料油墨及粘合剂行业厂商：2026年12月9~11日，2026中国国际涂料油墨及粘合剂展览会将亮相上海作为全球最大的涂料展之一，本届展会预计将吸引来自全超过1000家企业参加，期待您的莅临2026中国国际涂料油墨及粘合剂展览会将集中展示涂合剂行业及应用的最新产有技术为企业立品牌开象，促进贸易合作、市场开发，引领行业趋势，加强生销售互动，深入洞悉国内外涂料油墨及粘合剂市场元全方位组织专业观新需求，创新展会内涵众，为参展企业和参会客商提供了一个技术交流来发展新风向，以发展的眼光挖掘未来涂料油品展卡和贸易洽谈的最佳平台同期将召开“国际涂料研讨会”等多场技术研讨会及活动，邀请国内外专家五动探讨行业发展趋势，分享各自取得的经验成果，届时，热忱欢迎国内外的相关行业人士前来参观与交流。\r\n\r\n百家媒体全程跟踪报道：\r\n本届展会非常注重对展商企业品牌的塑造和推广，通过拟邀请中央媒体、主流财经媒体、大型门户网站、行业媒体以及海外媒体对展商进行全方位、多角度、立体化报道，为展商创造无限商机！\r\n本届展会将邀请现场报道的媒体有CCTV、新华社、中国经营报、中国证券报、证券时报、凤凰网、搜狐、网易、新浪、腾讯等上百家行业媒体。\r\n\r\n参展理由：\r\n规模优势，结识新经销商和买家：为参展商实际展出效果提供有力保障。本届展会预计到会观众将超过50000人次，实取强势的全球招商宣传模式，将整合历届展会的数据库，重点邀约涂料油墨及粘合剂行业用户到会参观洽谈。\r\n隆对接，邀请国内外客商：在展馆内、地铁站、酒店均有广告指示牌，并安排1000多名外语专职人员，将涉及到领域的专业采购商直接引进我展会现场洽谈采购。\r\n巩固已有的市场份额：一次参展全年享受线上、线下综合宣传，宣传范围涉及网站、杂志、报纸、手机言等新媒体方式，一次参展多重惊喜。紧跟最新市场发展动态，分享互动，特设一对一贸易配对会，诚邀来自线下的涂料用户负责人，观众来自全球50多个国家和地区，安排一对一的见面洽谈，提高您产品销售的绝佳途径。\r\n\r\n展出范围：\r\n1、原材料：油及脂肪酸、自然\u002F合成树脂及中间体、颜料、填充剂、填料及染料、溶剂及增塑剂、催干剂、功能助剂、功能材料、功能及智能涂料及油墨、纳米技术；\r\n2、生产\u002F包装设备及装置：大规模生产设备及装置、混料器\u002F搅拌机及高速分散机、装卸及包装、分料、装料及混合\u002F调色系统、自动化及内部管理、过滤器、泵、计量仪\u002F称重装置、研磨机、混料器\u002F搅拌机、颜色分散机、包装及贴标签机等；\r\n3、质检及研发用测量及测试：颜色及其它视像特征、测量及测试的创新、干膜及机械性能（包括耐久性）、化学特性、油漆特征（粘度、流变性、湿润性等）、表面分析等；\r\n4、粉末涂料：适合终端应用的树脂及颜料、挤压机\u002F挤出机\u002F捏合机及其它生产设备、紫外线及NIR固化粉末涂料、异氰脲酸三缩水甘油酯系统、改善分散力及应用固体溶剂、用于温度敏感底材的粉末涂料、聚酯代替物、金属效果粉末涂料等；\r\n5、UV\u002FEB固化技术及产品：活性稀释剂（单体）、低聚物、光引发剂、颜料、助剂等；UV涂料、UV油墨、UV粘合剂、印刷版材、光致抗蚀剂、印制电路用UV油墨、干膜、光成像油墨、光铸、表面光接枝等；UV光源、电子束设备、光固化设备、涂装设备、材料性能测试仪器（涂料、油墨、粘合剂用）、UV剂量仪等；\r\n6、安全、健康、环境及其它服务：日常厂房管理、废水\u002F废物\u002F废气处理、包装及废水\u002F废物\u002F废气的减少、环保及安全设备、技术信息、回收、卫生及易洁表面、环保技术等；\r\n7、各种涂料、油墨及粘合剂产品等；\r\n\r\n参展提示：\r\n1，索取参展报名表认真填写《参展申请及合约》表并加盖公章回传至组委会。\r\n2，参展商申请展位后请在3个工作日内将展位费用电汇到大会的指定账号，汇款后将汇款底单回传至组委会以便核查；如在规定时间内未能及时付款，组委会将不保留原定展位。\r\n3，展位顺序分配原则：“先申请，先付款，先安排”。\r\n4，为了保证大会整体形象，组委会保留调整部分参展商展位的最终权力。\r\n\r\n组委会联络处：\r\n博美高展览（上海）有限公司\r\n英富曼会展（江苏）有限公司\r\n邮 编：201908\r\n电 话：13023130305（ 微信同号）\r\nE-mail：2521136721@qq.com\r\n联系人：张 昊","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F08\u002F涂料-1.png","2026-08-29T19:17:42+08:00",8188037,15486,[740,744,745,749,753,757,761],{"id":741,"tenant_id":6,"name":742,"slug":743,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7174,"政策驱动","%e6%94%bf%e7%ad%96%e9%a9%b1%e5%8a%a8",{"id":541,"tenant_id":6,"name":542,"slug":543,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":746,"tenant_id":6,"name":747,"slug":748,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7698,"经济转型","%e7%bb%8f%e6%b5%8e%e8%bd%ac%e5%9e%8b",{"id":750,"tenant_id":6,"name":751,"slug":752,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7701,"绿色供应链","%e7%bb%bf%e8%89%b2%e4%be%9b%e5%ba%94%e9%93%be",{"id":754,"tenant_id":6,"name":755,"slug":756,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7977,"行业发展","%e8%a1%8c%e4%b8%9a%e5%8f%91%e5%b1%95",{"id":758,"tenant_id":6,"name":759,"slug":760,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},15660,"2026中国国际涂料油墨及粘合剂展览会|粉末涂料","2026%e4%b8%ad%e5%9b%bd%e5%9b%bd%e9%99%85%e6%b6%82%e6%96%99%e6%b2%b9%e5%a2%a8%e5%8f%8a%e7%b2%98%e5%90%88%e5%89%82%e5%b1%95%e8%a7%88%e4%bc%9a%e7%b2%89%e6%9c%ab%e6%b6%82%e6%96%99",{"id":762,"tenant_id":6,"name":763,"slug":764,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},15661,"涂装设备与原材料展览会","%e6%b6%82%e8%a3%85%e8%ae%be%e5%a4%87%e4%b8%8e%e5%8e%9f%e6%9d%90%e6%96%99%e5%b1%95%e8%a7%88%e4%bc%9a",385,"q.2521136721",{"id":768,"tenant_id":6,"creator_id":7,"title":769,"slug":770,"content":771,"content_json":12,"content_html":771,"reading_time":7,"access_level":7,"excerpt":772,"status":553,"content_type":554,"cover_image":12,"published_at":773,"scheduled_at":544,"author_id":669,"channel_id":544,"category_id":774,"tags":775,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":805,"is_pinned":17,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":806,"like_count":7,"comment_count":7,"author_name":690,"created_at":773,"updated_at":773},71403,"传统企业搭个网站就是产业互联网了吗？——产业互联网平台到底该怎么建","71403","【软盟资讯·新闻导】当消费互联网红利见顶，产业互联网正成为科技与商业融合的主战场。然而，一个残酷的现实摆在传统企业面前：据行业复盘数据，80%的传统企业数字化平台项目最终停摆、闲置、烧钱亏损、无法商业化。核心原因从来不是技术不够先进，而是用消费互联网思维做产业、用信息化思维做平台、用工厂内部思维做产业链。\r\n\r\n2026年，产业互联网行业逻辑发生重大转向——从过去追逐GMV、疯狂搭建平台的资本叙事，转向以正向现金流为核心的务实发展阶段。资本不再为\"平台框架\"买单，客户不再为\"数字化噱头\"付费。与此同时，国家《推动工业互联网平台高质量发展行动方案(2026-2028年)》正式出台，为平台发展指明了方向。\r\n\r\n那么，产业互联网平台到底该怎么建?传统企业转型的正确路径是什么?本文将从认知纠偏、顶层设计、商业模式、实施路径、常见陷阱五大维度，深度拆解产业互联网平台的建设逻辑，结合最新政策与行业真实案例，帮助传统企业在数字化浪潮中找到属于自己的转型之路。\r\n\u003Ch1>\u003C\u002Fh1>\r\n\u003Ch2>引言：一个价值万亿却让80%企业\"折戟\"的赛道\u003C\u002Fh2>\r\n产业互联网，这个被无数企业家视为\"第二增长曲线\"的赛道，正以令人炫目的姿态占据着中国产业升级的舞台中心。据权威机构预测，2026年中国工业互联网市场规模有望突破万亿大关，工业互联网产业经济增加值规模已达到4.5万亿元，占GDP比重约3.5%。国家层面，《推动工业互联网平台高质量发展行动方案（2026-2028年）》明确提出到2028年，具有一定影响力的平台超过450家，平台普及率达到55%以上。\r\n\r\n然而，与这万亿市场的宏大叙事形成鲜明对比的，是一个触目惊心的行业现实：\u003Cstrong>据产业互联网行业复盘数据，80%的传统企业数字化平台项目最终停摆、闲置、烧钱亏损、无法商业化。\u003C\u002Fstrong>\r\n\r\n为什么有的企业凭借一个产业平台成功跃升为产业链的\"链主\"，而绝大多数企业却建了\"一堆没人用的系统\"？为什么有的平台能持续造血、越做越大，而有的平台却沦为\"僵尸平台\"、陷入无休止的烧钱泥潭？\r\n\r\n答案并非技术本身，而在于认知、战略与商业逻辑。\u003Cstrong>产业互联网平台怎么建？传统企业转型的正确路径是什么？\u003C\u002Fstrong> 这不仅是一个技术命题，更是一场关乎企业命运的商业模式重塑。\r\n\r\n本文将从认知纠偏、顶层设计、商业模式、实施路径、常见陷阱五个维度，系统拆解产业互联网平台的构建逻辑，为传统企业提供一份\"从0到1、从1到10\"的转型指南。\r\n\u003Ch2>第一章 先破除三大认知误区：你做的可能根本不是产业互联网\u003C\u002Fh2>\r\n在探讨\"怎么建\"之前，我们必须先厘清一个更根本的问题：\u003Cstrong>什么是产业互联网？\u003C\u002Fstrong> 因为绝大多数传统企业的转型失败，恰恰是死在了认知的起跑线上。\r\n\u003Ch3>1.1 误区一：把\"信息化\"当成\"产业互联网转型\"\u003C\u002Fh3>\r\n很多传统企业老板觉得，上了ERP、上了MES、上了WMS，把线下台账搬到线上，就算完成了产业数字化转型。系统上线后，企业对外宣称\"我们已经实现了数字化\"。\r\n\r\n但事实是：系统上线后，内部数据孤立、上下游不通、无交易、无协同、无增值服务、无新收入，本质上只是实现了\"无纸化办公\"，它仍然是传统工厂，没有形成任何产业平台能力。\r\n\r\n这里必须厘清三层截然不同的逻辑：\r\n\r\n\u003Cstrong>第一层：信息化\u003C\u002Fstrong>——解决企业内部记账、管生产、管库存的问题，核心是\"对内提效\"。\r\n\r\n\u003Cstrong>第二层：数字化\u003C\u002Fstrong>——解决流程标准化、数据可沉淀的问题，核心是\"对内提质\"。\r\n\r\n\u003Cstrong>第三层：产业互联网\u003C\u002Fstrong>——解决产业链协同、交易、服务、数据变现的问题，核心是\"对外重构商业模式\"。\r\n\r\n\u003Cstrong>产业互联网的本质，是打通上下游、产生产业链新价值的商业模式重构，而不仅仅是内部系统的升级。\u003C\u002Fstrong> 判断标准非常明确：不能打通上下游、不能产生产业链新价值的，都不算产业互联网转型。\r\n\u003Ch3>1.2 误区二：有平台就等于掌握了产业链话语权\u003C\u002Fh3>\r\n这是产业互联网领域最普遍的认知误区。绝大多数从业者相信：只要搭建一个线上平台，就能打通上下游、形成网络效应、掌握产业链话语权。\r\n\r\n但现实是：\u003Cstrong>单纯线上化只是把线下单据搬到线上，没有解决降本、回款、融资、履约等真实痛点，商户无付费意愿，平台无稳定收入。\u003C\u002Fstrong>\r\n\r\n数字化平台只是服务载体，不能等同于产业链话语权。平台功能再齐全，如果不能让上下游企业真正受益、愿意持续使用和付费，那么这个平台就只是一堆代码，而不是一个产业基础设施。\r\n\u003Ch3>1.3 误区三：用消费互联网思维做产业平台\u003C\u002Fh3>\r\n很多传统企业转型产业互联网，第一反应是照搬淘宝、拼多多模式：重页面美观、重流量投放、重零售散户、重广告引流。疯狂投信息流、做直播、做线上零售。\r\n\r\n结果往往是：散户看热闹、大企业不敢进，有流量、无交易、无复购、无大客户。\r\n\r\n根本原因在于：\u003Cstrong>消费互联网是\"人找货、即时冲动消费\"，而产业互联网是\"企业找信任、找稳定履约、找成本优势\"。\u003C\u002Fstrong> B端客户不信任流量，只信任交易数据、履约能力、行业背书、风控体系。平台的核心不是好看，而是可信、合规、可对账、可溯源、可风控。\r\n\u003Ch2>第二章 产业互联网平台怎么建？——顶层设计是第一要务\u003C\u002Fh2>\r\n破除了认知误区之后，我们才能谈\"怎么建\"的问题。产业互联网平台的建设，最容易踩的坑就是\"先搭系统、再找业务、最后补模式\"。看着系统功能齐全、界面精美，上线之后却没人用、没交易、没价值，最终沦为\"摆设式数字化平台\"。\r\n\r\n本质问题只有一个：\u003Cstrong>缺失顶层设计。\u003C\u002Fstrong>\r\n\u003Ch3>2.1 顶层设计：一张蓝图干到底\u003C\u002Fh3>\r\n所谓顶层设计，就是在平台动工前，先定方向、定定位、定架构、定模式、定路径、定边界，做到一张蓝图干到底，避免边做边改、反复返工、持续内耗。\r\n\r\n产业互联网平台顶层设计，是基于产业真实痛点、产业链资源现状、政策导向、市场趋势、企业自身能力，制定的平台整体建设蓝图。它覆盖战略定位、业务架构、技术架构、数据架构、组织架构、商业模式、实施节奏、风控合规、生态布局九大维度，是平台从0到1搭建、从1到10规模化、从10到100生态化的总纲领。\r\n\r\n\u003Cstrong>简单说：顶层设计解决\"做什么、不做什么、先做什么、后做什么、靠什么赚钱、如何持续做大\"的核心问题。\u003C\u002Fstrong>\r\n\u003Ch3>2.2 战略定位：先定方向，再谈建设\u003C\u002Fh3>\r\n战略定位是顶层设计的灵魂，定位错了，后续所有建设全部无效。平台定位主要解决\"平台身份、服务对象、核心价值、业务边界\"四大问题。\r\n\r\n\u003Cstrong>第一，确定平台类型。\u003C\u002Fstrong> 常见的平台定位有三种：\r\n\u003Cul>\r\n \t\u003Cli>\u003Cstrong>垂直产业深耕型平台\u003C\u002Fstrong>：聚焦单一细分产业（装备制造、化工、建材、农产、医药等），深耕产业链上下游，做深做透垂直场景，适合产业集群和行业龙头企业。\u003C\u002Fli>\r\n \t\u003Cli>\u003Cstrong>区域产业综合型平台\u003C\u002Fstrong>：立足县域、地市、省级产业园区，整合区域内企业、物流、金融、政务、供应链资源，适合国企、政府平台、园区运营方。\u003C\u002Fli>\r\n \t\u003Cli>\u003Cstrong>生态协同服务型平台\u003C\u002Fstrong>：不局限单一交易，以\"四流合一\"（信息流、商流、物流、资金流）为核心，打造产业服务生态，提供交易、履约、数据、金融、人才、技术全链条服务，适合头部标杆型平台。\u003C\u002Fli>\r\n\u003C\u002Ful>\r\n\u003Cstrong>第二，明确核心价值主张。\u003C\u002Fstrong> 所有产业平台的终极价值，离不开四大核心，需结合产业突出差异化：降本（降低采购、物流、沟通、管理、融资成本）、增效（缩短交易周期、提升生产协同、优化库存周转）、提质（实现全流程溯源、标准化履约、质量可控）、创新（重构产业交易模式、盘活闲置资源、沉淀产业数据）。\r\n\r\n\u003Cstrong>第三，划定业务红线。\u003C\u002Fstrong> 顶层设计必须明确\"不做什么\"，规避风险、聚焦主业：禁止盲目跨界非关联产业、禁止无资质金融放贷、禁止违规数据采集与交易、禁止脱离产业履约的纯线上资本炒作。\r\n\u003Ch3>2.3 业务架构：分层闭环、刚需优先\u003C\u002Fh3>\r\n业务架构拒绝杂乱堆砌，采用\"基础刚需+核心交易+增值服务+生态赋能\"四层分层设计，循序渐进落地。\r\n\r\n\u003Cstrong>基础刚需层（一期必建）\u003C\u002Fstrong>：聚焦产业链最高频、最痛点场景，快速实现冷启动——企业入驻、供需撮合、线上询盘、基础进销存、信息发布、资质审核。核心目标：快速积累用户、跑通基础流量。\r\n\r\n\u003Cstrong>核心交易层（二期完善）\u003C\u002Fstrong>：搭建完整产业交易闭环——线上竞价集采、订单签约、在线支付、仓单交易、履约跟踪、库存共享、招投标数字化。核心目标：实现平台营收闭环，产生持续交易流水。\r\n\r\n\u003Cstrong>增值服务层（三期盈利）\u003C\u002Fstrong>：打造多元化盈利体系，摆脱单一佣金依赖——供应链金融、质检认证、物流托管、数字化SaaS服务、能耗管理、合规咨询。核心目标：提升单用户价值，搭建稳定盈利模型。\r\n\r\n\u003Cstrong>生态赋能层（四期壁垒）\u003C\u002Fstrong>：实现从交易平台到产业生态平台的升级——产业人才培训、技术成果转化、产教融合、产业大数据服务、政府产业治理赋能、跨区域产业协同。核心目标：构建不可复制的产业生态壁垒。\r\n\u003Ch3>2.4 技术架构：轻量化、可扩展、国产化\u003C\u002Fh3>\r\n技术架构遵循IaaS+PaaS+SaaS三层标准架构，拒绝重资产、难迭代的老旧架构。\r\n\u003Cul>\r\n \t\u003Cli>\u003Cstrong>IaaS底层基建\u003C\u002Fstrong>：依托混合云架构，兼顾数据安全与成本，适配工业设备联网、边缘计算、多终端接入，同时逐步推进软硬件国产化替代。\u003C\u002Fli>\r\n \t\u003Cli>\u003Cstrong>PaaS中台能力\u003C\u002Fstrong>：搭建业务中台（统一用户、订单、支付、履约、权限体系）、数据中台（数据采集、清洗、治理、建模、可视化）、IoT中台（设备联网、数据采集、能耗监测）、AI中台（智能推荐、需求预测、智能排程）。\u003C\u002Fli>\r\n \t\u003Cli>\u003Cstrong>SaaS应用层\u003C\u002Fstrong>：面向不同用户提供定制化应用——工厂端、贸易端、物流端、金融端、政府监管端、移动端，实现千人千面、按需使用。\u003C\u002Fli>\r\n\u003C\u002Ful>\r\n核心设计原则：\u003Cstrong>云原生、微服务、低代码适配、高可用、可迭代\u003C\u002Fstrong>，既能满足当下基础使用，又能支撑未来3-5年生态规模化扩张。\r\n\u003Ch3>2.5 数据架构：数据是平台的核心生产资料\u003C\u002Fh3>\r\n数据是产业互联网的核心生产资料，顶层设计必须搭建完整数据体系，杜绝数据孤岛。从数据采集层（全域采集生产、交易、物流、资金、用户行为数据）→数据治理层（统一数据标准、清洗规则、分类分级体系）→数据流通层（搭建可信数据交换机制，实现跨企业、跨系统安全共享）→数据应用层（赋能价格指数分析、供需趋势预测、库存风险预警、产业链可视化）→数据资产层（合规前提下实现数据标准化、产品化，打造产业数据服务，实现数据资产化变现）。\r\n\u003Ch2>第三章 产业互联网平台靠什么赚钱？——商业模式必须前置\u003C\u002Fh2>\r\n平台能否持续发展，核心看商业模式。很多传统企业搭平台，唯一盈利设想就是抽交易佣金，结果陷入两难：佣金高、商家流失；佣金低、平台不赚钱。\u003Cstrong>产业互联网纯佣金模式早已失效\u003C\u002Fstrong>，头部平台早已告别单一变现，依靠多层级盈利结构实现盈利。\r\n\u003Ch3>3.1 四层盈利闭环：拒绝单一佣金依赖\u003C\u002Fh3>\r\n\u003Cstrong>基础层（引流打底）\u003C\u002Fstrong>：交易撮合、会员、广告。这是最基础的流量变现方式，用于支撑平台初期运营。\r\n\r\n\u003Cstrong>服务层（提毛利）\u003C\u002Fstrong>：仓储、物流、质检、财税代办。通过提供产业链服务提升毛利，加深与客户的绑定。\r\n\r\n\u003Cstrong>数字化层（稳现金流）\u003C\u002Fstrong>：SaaS订阅、IoT云服务、系统运维。客户替换成本高，续约周期长，是稳定的现金流来源。\r\n\r\n\u003Cstrong>资产层（拉高净利）\u003C\u002Fstrong>：供应链金融、数据报告、指数授权。这是毛利率最高、壁垒最强的盈利层。\r\n\r\n以京东工业为例，其依靠\"系统订阅+履约+金融\"的复合收入模式，弱化对低毛利交易差价的依赖，现金流持续改善，成为产业互联网盈利模式的标杆。\r\n\u003Ch3>3.2 短期活、中期稳、长期强：三阶盈利体系\u003C\u002Fh3>\r\n\u003Cstrong>短期冷启动盈利（0-1年）\u003C\u002Fstrong>：聚焦低门槛、快落地的基础收益，支撑平台初期运营——交易撮合佣金、集采服务费、基础SaaS年费、企业入驻会员费、基础广告。\r\n\r\n\u003Cstrong>中期稳定盈利（1-3年）\u003C\u002Fstrong>：深化产业链服务，提升用户粘性与营收厚度——仓配一体化履约服务费、溯源质检服务费、供应链金融利差、数字化运维、系统定制服务费。\r\n\r\n\u003Cstrong>长期生态盈利（3年以上）\u003C\u002Fstrong>：从服务企业升级为运营产业，打造高壁垒、高附加值收益——产业大数据服务、行业指数输出、产业招商、园区运营、生态服务商入驻分成、产教融合。\r\n\u003Ch3>3.3 2026年的关键转向：从\"建平台\"到\"赚现金流\"\u003C\u002Fh3>\r\n特别值得注意的是，2026年产业互联网行业逻辑发生重大转向。资本市场估值逻辑彻底重构——机构尽调优先看三大指标：正向经营现金流、客户续费率、单位客户盈利模型，GMV已经失去估值权重。头部60%的产业平台已完成盈利拐点，其核心共性正是持续稳定现金流、SaaS订阅\u002F增值服务高毛利收入。\r\n\r\n这意味着，产业互联网平台的建设，从一开始就必须以\"能否产生正向现金流\"为第一标尺，而非\"平台功能有多全、流量有多大\"。\u003Cstrong>平台只是工具，现金流才是企业活下去、持续增长的核心壁垒。\u003C\u002Fstrong>\r\n\u003Ch2>第四章 传统企业转型产业互联网的正确路径——从\"小闭环\"到\"大生态\"\u003C\u002Fh2>\r\n明确了\"怎么建\"和\"靠什么赚钱\"，接下来就是最关键的落地问题：传统企业到底该怎么走这条转型之路？\r\n\u003Ch3>4.1 原则一：小闭环、快落地、渐进式迭代\u003C\u002Fh3>\r\n传统老板的制造业思维，是习惯一次性建厂、一次性投产，但产业互联网具有持续迭代、持续运营、持续调优的互联网属性。因此，转型必须严格执行\"小闭环、快落地、渐进式迭代\"原则：\r\n\u003Cul>\r\n \t\u003Cli>\u003Cstrong>0-3个月\u003C\u002Fstrong>：只做核心交易闭环（寻源、下单、对账、履约）；\u003C\u002Fli>\r\n \t\u003Cli>\u003Cstrong>3-6个月\u003C\u002Fstrong>：叠加供应链基础服务（仓储、物流、质检）；\u003C\u002Fli>\r\n \t\u003Cli>\u003Cstrong>6-12个月\u003C\u002Fstrong>：上线SaaS数字化工具；\u003C\u002Fli>\r\n \t\u003Cli>\u003Cstrong>1年后\u003C\u002Fstrong>：根据数据沉淀，叠加产业金融、数据服务。\u003C\u002Fli>\r\n\u003C\u002Ful>\r\n中小企业要坚决放弃\"全功能自建\"，优先模块化搭建、按需扩容。业界已有成功案例：多家县域供应链平台，放弃百万级定制开发，使用标准化集采SaaS，3个月就实现了服务费正向收入。\r\n\u003Ch3>4.2 原则二：先改流程，再上系统\u003C\u002Fh3>\r\n重金采购高端工业软件、IoT设备、数字孪生系统，但原有业务流程、岗位职责、考核机制完全不变——这是90%企业转型失败的核心原因。员工依旧线下接单、线下对账、线下排产，系统沦为\"额外填表工具\"，全员抵触，最终系统闲置。\r\n\r\n\u003Cstrong>数字化本质是业务流程重构，技术只是工具。\u003C\u002Fstrong> 只换工具、不改流程，转型必然失败。正确的做法是：先梳理采购、生产、履约、对账、售后全链路低效卡点；成立业务+IT联合项目组，业务部门主导需求，技术部门落地实现；系统功能适配原有业务习惯，简化一线操作，减少重复录入。\r\n\u003Ch3>4.3 原则三：三分技术、七分运营\u003C\u002Fh3>\r\n传统企业普遍心态是\"项目验收=转型完成\"，平台上线后无专属运营团队、无上下游拓展、无活动运营、无供需撮合、无客户维护，最终平台数据长期不更新、商家不活跃、订单停滞，变成\"僵尸平台\"。\r\n\r\n\u003Cstrong>传统实业是\"重生产、轻运营\"，而产业互联网是三分技术、七分运营。\u003C\u002Fstrong> 平台不是一次性工程，而是持续经营的产业服务生意。立项之初必须搭建专属运营团队，明确三大核心运营动作：上下游入驻激活、供需撮合促成、客户粘性维护；建立月度运营指标：入驻数、活跃数、线上成交率、复购率、服务费收入。\r\n\u003Ch3>4.4 原则四：一把手工程，破除部门壁垒\u003C\u002Fh3>\r\n采购、销售、生产、财务各部门各自为政，数据互不共享，平台推进时各部门推诿扯皮：采购不愿公开供应商资源、销售不愿公开客户资源、财务不愿线上对账。这种\"部门墙\"成为平台打通全链路的巨大障碍。\r\n\r\n产业互联网需要全链路数据透明、业务协同，与传统职能型组织的垂直壁垒天然冲突。破局之道在于：\u003Cstrong>一把手工程，必须老板亲自挂帅\u003C\u002Fstrong>，破除部门私有资源壁垒；明确数字化考核指标，纳入各部门KPI，和绩效直接挂钩；建立统一数据口径、统一业务标准，实现全公司数据互通共享。\r\n\u003Ch3>4.5 原则五：数据为王，但要先标准化再智能化\u003C\u002Fh3>\r\n很多企业基础流程尚未标准化，就盲目跟风上线AI、大数据分析、数字孪生、产业大模型。设备采集数据杂乱、台账数据虚假、录入数据缺失，最终形成\"垃圾数据进、无效结果出\"，智能化完全失效。\r\n\r\n\u003Cstrong>数字化顺序决不能颠倒：没有标准化，就没有数据化；没有数据化，就没有智能化。\u003C\u002Fstrong> 优先做三件基础事：流程标准化、数据口径统一、录入责任到人；禁止超前堆砌高端技术，基础数据沉淀达标后，再叠加智能应用；建立数据治理机制，定期清洗、校验、纠错，保证数据真实可用。\r\n\u003Ch2>第五章 传统企业转型产业互联网的十大\"深坑\"——每一个都能致命\u003C\u002Fh2>\r\n无论多美好的蓝图，如果踩中了致命的坑，都可能前功尽弃。以下是行业复盘出的、致死率最高的典型陷阱，全部来自上千家制造、建材、化工、农业、大宗贸易企业的真实失败案例。\r\n\u003Ch3>5.1 战略踩坑：追求\"一步到位、全盘自建\"\u003C\u002Fh3>\r\n中小制造企业、区域龙头，盲目对标国联、欧冶等头部平台，一次性投入数百万、上千万，自建全套中台、商城、金融、物流、溯源系统，追求功能大而全。最终结果：工期超长、成本失控、无人运营、功能闲置、系统笨重无法迭代。\u003Cstrong>坚决放弃\"全功能自建\"，优先模块化搭建、按需扩容。\u003C\u002Fstrong>\r\n\u003Ch3>5.2 业务脱节：重技术投入、轻流程改造\u003C\u002Fh3>\r\n重金采购高端系统，但原有流程、岗位、考核机制完全不变。员工依旧线下操作，系统沦为\"额外填表工具\"。\u003Cstrong>先改流程，再上系统\u003C\u002Fstrong>，是铁律。\r\n\u003Ch3>5.3 运营缺位：重建设交付、轻长期运营\u003C\u002Fh3>\r\n平台上线后无专属运营团队、无上下游拓展、无供需撮合、无客户维护，最终变成\"僵尸平台\"。\u003Cstrong>平台建设只占30%，长期运营占70%。\u003C\u002Fstrong>\r\n\u003Ch3>5.4 盈利误区：只靠交易佣金、无多元变现\u003C\u002Fh3>\r\n纯佣金模式毛利率不足5%，无法支撑运营成本。\u003Cstrong>必须搭建四层盈利闭环，拒绝单一佣金依赖。\u003C\u002Fstrong>\r\n\u003Ch3>5.5 数据无效：盲目堆砌新技术、垃圾数据恶性循环\u003C\u002Fh3>\r\n没有标准化，就没有数据化；没有数据化，就没有智能化。\u003Cstrong>先做流程标准化、数据口径统一、录入责任到人。\u003C\u002Fstrong>\r\n\u003Ch3>5.6 风险失控：忽视合规、金融与数据安全红线\u003C\u002Fh3>\r\n私自开展放贷、自建资金池、无资质票据撮合、核心数据随意上云——这些都可能面临监管处罚、业务关停、巨额罚款甚至刑事责任。\u003Cstrong>产业金融绝对红线：不碰资金池、不直接放贷、不私自贴现。数据安全红线：核心数据本地部署，涉密数据不上公有云。\u003C\u002Fstrong>\r\n\u003Ch3>5.7 心态短视：追求短期暴利、缺乏长期产业耐心\u003C\u002Fh3>\r\n老板普遍期待\"上线3-6个月立刻赚钱、快速回本\"，一旦前期只有投入、利润微薄，就立刻缩减预算、停止运营、放弃迭代。\u003Cstrong>产业互联网是重构产业链利益分配的长期基建型生意\u003C\u002Fstrong>，需要建立正确的周期认知：0-1年建设期、1-3年增长期、3年以上成熟期。\r\n\u003Ch3>5.8 认知错位：把信息化当产业互联网、用消费思维做B端\u003C\u002Fh3>\r\n把上线ERP、MES当成产业互联网转型；用流量思维做产业平台，忽视B端核心的资质、账期、批量、履约、溯源。\u003Cstrong>B端客户不信任流量，只信任交易数据、履约能力、行业背书、风控体系。\u003C\u002Fstrong>\r\n\u003Ch3>5.9 组织内耗：部门墙严重、数字化权责混乱\u003C\u002Fh3>\r\n各部门利益私有化，数据割裂、流程卡死。\u003Cstrong>必须一把手工程，老板亲自挂帅，破除部门私有资源壁垒。\u003C\u002Fstrong>\r\n\u003Ch3>5.10 标准缺失：忽视跨平台互联互通\u003C\u002Fh3>\r\n大量平台各自为战，形成\"智能孤岛\"。\u003Cstrong>要重视与主流工业互联网平台的互联互通，关注国家层面的标准体系建设。\u003C\u002Fstrong>\r\n\u003Ch2>第六章 政策东风与未来趋势——产业互联网的下一个十年\u003C\u002Fh2>\r\n\u003Ch3>6.1 国家战略加码：产业互联网进入政策红利期\u003C\u002Fh3>\r\n2026年初，国家正式发布《推动工业互联网平台高质量发展行动方案（2026-2028年）》，明确提出到2028年建成\"专业型+行业型+协作型\"多层次平台体系，具有一定影响力的平台超450家；工业设备连接数突破1.2亿台（套）；平台普及率达到55%以上。这一顶层设计为产业互联网平台的发展指明了方向——从\"平台建设\"向\"生态构建\"深水区迈进，重点解决互联互通与价值闭环的难题。\r\n\u003Ch3>6.2 技术融合：AI、数字孪生、5G重塑产业平台\u003C\u002Fh3>\r\n人工智能正成为平台智能化升级的核心驱动力。行动方案明确提出\"推进人工智能赋能工业互联网平台\"，鼓励培育流程自动化助手、智慧巡检数字人、具身智能装备等工业场景智能体，探索\"平台+场景智能体\"融合架构，实现多智能体在复杂生产场景中的任务调度与群体协作。\r\n\r\n同时，边缘计算与云计算的深度融合、5G与TSN确定性网络的规模化导入、数字孪生从可视化向可计算演进，都在推动产业平台从\"资源汇聚\"向\"场景化智能引擎\"延伸。\r\n\u003Ch3>6.3 从\"平台\"到\"生态\"：产业互联网的终极形态\u003C\u002Fh3>\r\n产业互联网平台的最终发展方向，是从单纯的交易平台升级为产业生态平台。未来的竞争将聚焦于生态协同能力——谁能率先构建起包括开发者、集成商、解决方案提供商、金融机构在内的\"共生共荣\"体系，谁就能掌握产业链话语权。正如行业共识所言：\u003Cstrong>产业互联网不是简单的软件堆砌、线上化搬家，它是对整条产业链的资源重构、流程再造、数据打通、商业重塑、生态共建。\u003C\u002Fstrong>\r\n\u003Ch2>结语：转型成功的核心真谛\u003C\u002Fh2>\r\n综合以上分析，我们可以总结出传统企业转型产业互联网的终极逻辑：\r\n\r\n\u003Cstrong>成功从来不是技术问题，而是认知问题、战略问题、组织问题、商业逻辑问题。\u003C\u002Fstrong> 真正成功的转型，遵循一套极简正确的逻辑——不改业务不做数字化、不连上下游不做平台、没有多元盈利不做长期运营、没有合规底线不做产业增值。\r\n\r\n产业互联网平台的\"怎么建\"，本质上不是一道技术题，而是一道关于\"如何重构产业链价值\"的商业题。它要求企业放下\"一步到位、全盘自建\"的冲动，拥抱\"小闭环、快落地、渐进式迭代\"的务实路径；要求企业从\"做产品、做买卖\"升级为\"做规则、做生态、做数据、做服务\"的彻底重构；要求企业以现金流为标尺、以客户可量化收益为准绳，让数字化真正落地创造商业回报。\r\n\r\n\u003Cstrong>放弃跟风式、面子式、烧钱式数字化，走产业落地、业务闭环、持续造血的务实路径，才能真正完成从\"传统工厂\"到\"产业平台型企业\"的终极升级。\u003C\u002Fstrong>\r\n\r\n产业互联网的下一个十年，属于那些真正理解产业、尊重规律、敢于重构的企业。\r\n\u003Ch2>【软盟观察】\u003C\u002Fh2>\r\n客观而言，产业互联网是当前中国产业升级中最具想象空间、也最易\"翻车\"的赛道之一。万亿市场的宏大叙事与80%项目折戟的残酷现实并存，这本身就足以让每一位传统企业决策者保持清醒。\r\n\r\n软盟资讯认为，传统企业转型产业互联网，最大的敌人往往不是竞争对手，而是自身的认知惯性与路径依赖。将\"信息化\"包装成\"产业互联网\"、用消费互联网思维做B端生意、追求\"一步到位、全盘自建\"——这些看似理所当然的做法，恰恰是导致大量项目沦为\"僵尸平台\"的根源。\r\n\r\n值得注意的是2026年行业逻辑的重大转向：从\"建平台\"转向\"赚现金流\"。这标志着产业互联网正从资本驱动的泡沫期，走向价值回归的成熟期。资本不再为\"平台框架\"买单，客户不再为\"数字化噱头\"付费，这并非行业的寒冬，而是行业的出清与净化。真正能够存活并壮大的，必将是那些深耕垂直场景、以现金流为标尺、能为上下游创造可量化价值的务实服务商。\r\n\r\n软盟资讯同时提醒，政策红利固然值得把握，但传统企业切忌为了拿补贴而\"为建平台而建平台\"。国家《推动工业互联网平台高质量发展行动方案》强调的\"小快轻准\"、轻量化、价值导向，恰恰是对\"重建设、轻运营\"泡沫的有力纠偏。\r\n\r\n归根结底，产业互联网平台不是一道\"建不建\"的选择题，而是一道\"怎么建得有价值\"的必答题。唯有放下对\"平台光环\"的执念，回归\"为产业链创造真实价值\"的本源，传统企业才能真正在产业互联网的浪潮中完成蜕变。\r\n\r\n\u003Cstrong>技术是工具，产业是根本，价值是终点。这，才是产业互联网的正确打开方式。\u003C\u002Fstrong>\r\n\r\n\u003Cem>本文由软盟资讯编辑部出品，仅供学习交流使用，不构成任何投资或决策建议。\u003C\u002Fem>","【软盟资讯】产业互联网正成为传统企业转型升级的主战场，但高达80%的产业平台项目最终陷入停摆、闲置与烧钱亏损。本文深度解析产业互联网平台到底怎么建、传统企业转型的正确路径，结合行业真实案例与失败教训，厘清\"信息化不等于产业互联网\"\"建平台不等于掌握话语权\"等核心误区，为制造业、商贸、农业等传统企业提供从顶层设计到落地运营的系统性指南，帮助企业少走弯路、实现真正的产业升级。","2026-08-29T18:49:31+08:00",15123,[776,780,784,788,792,796,797,801],{"id":777,"tenant_id":6,"name":778,"slug":779,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},2751,"企业数字化平台","%e4%bc%81%e4%b8%9a%e6%95%b0%e5%ad%97%e5%8c%96%e5%b9%b3%e5%8f%b0",{"id":781,"tenant_id":6,"name":782,"slug":783,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},4906,"工业互联网平台","%e5%b7%a5%e4%b8%9a%e4%ba%92%e8%81%94%e7%bd%91%e5%b9%b3%e5%8f%b0",{"id":785,"tenant_id":6,"name":786,"slug":787,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},6801,"商业模式重构","%e5%95%86%e4%b8%9a%e6%a8%a1%e5%bc%8f%e9%87%8d%e6%9e%84",{"id":789,"tenant_id":6,"name":790,"slug":791,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7318,"产业数字化转型","%e4%ba%a7%e4%b8%9a%e6%95%b0%e5%ad%97%e5%8c%96%e8%bd%ac%e5%9e%8b",{"id":793,"tenant_id":6,"name":794,"slug":795,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7394,"人工智能赋能","%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e8%b5%8b%e8%83%bd",{"id":541,"tenant_id":6,"name":542,"slug":543,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":798,"tenant_id":6,"name":799,"slug":800,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},9231,"智能化升级","%e6%99%ba%e8%83%bd%e5%8c%96%e5%8d%87%e7%ba%a7",{"id":802,"tenant_id":6,"name":803,"slug":804,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},12065,"流程标准化","%e6%b5%81%e7%a8%8b%e6%a0%87%e5%87%86%e5%8c%96","产业互联网平台搭建,传统企业数字化转型,产业互联网平台,企业数字化转型路径,工业互联网,供应链平台,产业数字化,平台经济,B2B电商,产业链协同,数字化改造,商业模式创新",412,{"id":808,"tenant_id":6,"creator_id":7,"title":809,"slug":810,"content":811,"content_json":12,"content_html":811,"reading_time":7,"access_level":7,"excerpt":809,"status":553,"content_type":554,"cover_image":812,"published_at":813,"scheduled_at":544,"author_id":814,"channel_id":544,"category_id":589,"tags":815,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":17,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":842,"like_count":7,"comment_count":7,"author_name":843,"created_at":813,"updated_at":813},71140,"2027成都新基建及国际工程建设技术装备展6月18举办","71140"," \r\n\r\n\u003Cstrong>2027\u003C\u002Fstrong>\u003Cstrong>成都新基建及国际工程建设技术装备展6月18举办\u003C\u002Fstrong>\r\n\r\n邀请函\r\n\r\n主办单位： 中国成都高新技术与先进智造工业博览会组委会\r\n\r\n承办单位：重庆中博展览有限公司\r\n\r\n展会背景：\r\n\r\n中国成都国际工程建设技术装备博览会暨工程机械、建材机械、工程车辆、矿山机械及隧道桥梁技术装备博览会。全面覆盖交通基建、公路、铁路、桥梁、隧道、港口、机场、能源基建、电力、新能源、油气管道、水利与环境工程、城市与市政建设、智慧城市、地下管廊以及建筑安全设施与建筑设计等前沿科技。集中展示智能建造、BIM、数字孪生、东数西算、算电协同技术装备、绿色低碳技术、新型建筑材料、重型工程机械、钢铁结构与桥梁建设应用等创新应用成果。\r\n\r\n当今5G、AI与工业互联网的深度融合，推动工程机械从单机设备向智能作业系统进化。无人化解决方案，实现挖掘机、装载机、平地机的编组协同，作业精度达毫米级，人员安全风险大幅降低。展现工程建设供应链的创新突破，绿色转型成果贯穿全产业链，光伏支架、储能系统等清洁能源装备，低碳水泥、再生建材等环保产品，电动起重机、混动挖掘机等绿色装备占比显著提升，形成从能源供给到施工应用的全链条低碳解决方案。\r\n\r\n数字化升级成为核心亮点，智能建造数字化集中亮相 BIM 协同系统、数字孪生施工方案，自动化码头装卸系统沙盘、仓储机器人系统等技术，实现从规划设计到运营维护的全流程数字化管控。区块链支付系统、物流追踪平台，为跨境工程提供高效风险管控工具。\r\n\r\n在全球工程建设加速整合的背景下，中国工程机械装备产业正以电动化、智能化、国际化、数字化为核心驱动力。展会将围绕新基建、智能建造、绿色建筑和产业链协同等核心议题，构建从规划投资、设计咨询、装备制造、工程建设到运营维护的全产业链生态体系。聚焦建筑机器人、BIM数字孪生、AIoT智慧工地等前沿技术应用。涵盖高性能混凝土、光伏建筑一体化、碳捕捉建材等低碳解决方案、装配式建筑构件、地源热泵设备、太阳能光伏组件,工程机械与应急装备、无人摊铺机、自动驾驶起重机、设计咨询、物流、金融、安保、建筑机器人与自动化装备、智慧建筑平台及装备，集中展示数字化、网络化、智能化技术与建筑企业供应链的深度融合、汇聚5G、大数据、区块链、东数西算、算电协同等技术应用成果，通过工程建设全流程数字孪生模型，直观展现供应链各环节的实时协同与风险预警机制。集中展示环保节能建材、装配式建筑、建筑垃圾资源化利用技术等领域的最新进展。集中展示光伏工程设备及技术系统、风电、光储直柔技术、氢能、制储输用系统，以及水风光一体化等前沿技术与装备、智能施工设备、大型清障设备、应急发电车等特种装备、展会还将通过VR技术模拟6G、元宇宙等技术在工程建设供应链中的应用场景，探索工程行业发展新方向。集中展示工程机械行业零碳转型、氢燃料电池、氨燃料发动机等技术加速应用AI大模型与工程机械的深度融合，新一代工业作业机器人集中亮相。\r\n\r\n高原冻土工程极端工程挑战与创新解决方案聚焦超高海拔隧道施工、永冻土路基稳定性等世界级难题，分享最新研究成果与实践案例；高原特型装备深度探讨发动机性能优化、液压系统保温等核心技术；智能建造与数字化运维展示BIM、GIS、无人机巡检等技术在高原铁路全生命周期中的应用；生态环保与绿色工程实践分享植被恢复、弃渣利用等最佳实践；设置铁路知识科普长廊、VR模拟驾驶体验舱、工程积木互动区等，普及工程知识。\r\n\r\n道桥梁技术装备高原高寒型TBM、架桥机、挖掘机等核心设备及监测仪器；建设材料与设备涵盖矿山开采设备、极寒型混凝土生产装备、耐候钢加工装备等；施工核心工程车辆包括高原型重型卡车、移动保障车辆、新能源工程车辆及极端应急救援特种设备；施工设备核心零部件聚焦动力系统、液压系统、传动系统等关键部件与智能控制技术；铁路技术装备与车辆展示机车车辆、核心部件及轨道施工设备；生态保护技术与装备呈现高原生态防护体系、敏感区监测设备、低扰动施工装备等创新成果，全方位满足高原工程建设的多元需求。\r\n\r\n湖南构建从主机到零部件的全链条智能制造体系，长沙产业集聚度全球第三；江苏突破数字液压、高效传动等核心技术，打造世界级先进制造业集群；广西柳州引入优必选机器人，建设超级智慧工厂，填补智能服务机器人产业空白。博览会重点展示智能建造技术、BIM（建筑信息模型）、数字孪生、智能施工管理系统、绿色低碳技术：低碳建材、节能施工工艺、碳足迹管理工具、新型建筑材料：高性能混凝土、纤维复合材料、自修复材料等、重型工程机械与钢结构应用、大型起重机、摊铺机、桥梁钢结构制造与安装设备。展会全面覆盖行业领域、交通基建、公路、铁路、桥梁、隧道、港口、机场、能源基建、电力、新能源、油气管道、水利与环境工程、城市与市政建设、智慧城市、地下管廊、海绵城市、建筑安全设施与智能建造解决方案\r\n\r\n展览日程和地点：\r\n\r\n时间2027年6月18-20日    地点：成都中国西部国际博览城\r\n\r\n布展时间:2027年6月16-17日  8:30-22:00\r\n\r\n展览时间:2027年6月18--20日9:00-17:30\r\n\r\n撤展时间:2027年6月20日   下午17：30\r\n\r\n参展费用:\r\n\r\n标准展位：(3m×3m)=9平米，国内：11800元\u002F个，国外：1800美元\u002F个\r\n\r\n特装空场地（36平米起租），国内：1180元\u002F平米，国外:180美元\u002F平米\r\n\r\n展览内容:\r\n\r\n隧道桥梁技术装备展区：集中呈现TBM（全断面隧道掘进机）、桥梁智能架设设备、地质灾害监测系统等技术\r\n\r\n核心工程机械展区：涵盖土方机械（挖掘机、装载机、推土机、压实设备）、起重机械（全地面起重机、履带式起重机、施工升降机）、桩工机械（深孔旋挖钻机、锚固钻机）、混凝土机械（搅拌站、泵车、喷射机械手）、隧道与地下工程机械（TBM\u002F盾构机、凿岩台车、通风设备），以及步履式挖掘机等特种作业装备，重点展示低温启动、动力优化等适配技术。\r\n\r\n建材与矿山机械展区：包括砂石骨料破碎筛分设备、混凝土预制构件生产线、钢筋加工机械等建材机械，以及露天采矿设备、移动破碎站、矿山运输设备、边坡安全监控系统等矿山机械，服务工程料场开采与建材生产需求。\r\n\r\n工程机械展区：聚焦施工装备，展示具备低氧环境动力优化、抗寒耐冻结构设计的挖掘机、推土机、起重机等，智能掘进机器人\r\n\r\n建材机械展区：轻质高强建材、冻土区特殊混凝土的生产设备与技术\r\n\r\n工程车辆展区：专用动力系统、智能避险装置的工程车、运输车辆。\r\n\r\n矿山机械展区：矿山的勘探、开采、选矿设备，绿色矿山与工程建设的协同发展。\r\n\r\n工程车辆与特种设备展区：展示重型液压平板车、大件运输车等重型运输车辆，高空作业车、应急电源车等特种作业车辆，以及高原型新能源工程车辆（混合动力挖掘机、矿卡）及充换电解决方案。\r\n\r\n核心零部件与技术展区：聚焦适配零部件，如大功率柴油发动机、低温液压系统、密封件、耐磨结构件，以及远程操控系统、智能传感器、数字孪生运维平台等智能化技术。\r\n\r\n配套服务与环保展区：涵盖工程机械融资租赁、保险服务、维修运维、操作手培训等配套服务，以及施工扬尘控制、污水处理、高原生态修复技术与设备，践行绿色建造理念。\r\n\r\n智能建造展区。\r\n\r\n建筑机器人及自动化装备集群：主体结构施工机器人、装饰装修与运维机器人、工厂预制与物流机器人；智能建造数字化平台：BIM与数字孪生系统、AIoT智慧工地系统、项目智能决策与碳管理平台；智能装备与新型建筑工业化：智能施工装备、模块化与装配式建筑体系、智能检测与监测设备\r\n\r\n绿色建材展区：基础结构材料：高性能混凝土、绿色钢结构；围护与保温材料：节能门窗系统、高效保温材料、岩棉、玻璃棉、石墨烯绝热不燃板、相变储能材料；管材管件：节能节水、环保材料、健康无害、长寿命等各类新型管材；环保装修装饰材料：低VOC涂料与胶粘剂、健康型装饰板材、无醛人造板、抗菌陶瓷;可再生地面材料：竹地板、木塑地板、再生橡胶地砖；新能源与智能化材料：光伏建筑一体化、智能调光材料、自修复材料；循环利用材料：再生骨料混凝土、磷石膏基建材、废塑料复合材料；健康功能材料；高效节水器具；环保防水材料；生物基材料；碳捕捉建材；智能监测系统；绿色办公家具；其他绿色建材等。\r\n\r\n工程服务展区：工程设计、咨询监理，项目管理、海外安防、大件运输、物流货代、报关行、保险、银行、金融、检验认证、法律、财税、教育、软件等。\r\n\r\n建筑机电节能创新展区：暖通空调系统板块：商用中央空调、户式新风系统、地暖设备、空调智能控制系统；给排水系统板块：智能叠压供水设备、静音排水泵、污水处理设备、水质监测仪器；建筑电气系统板块：节能变压器、智能配电开关柜、应急照明系统、光伏建筑一体化设备；消防与安防机电板块：自动喷淋系统、消防水泵、智能烟感探测器、建筑安防监控设备；运维与改造服务板块：建筑机电设备检测服务、老旧机电系统升级改造、机电设备远程运维平台；机械设备、电梯、电力设备、新能源、节能环保清洁、储能设备等。\r\n\r\n地坪及混凝土展区：地坪材料：环氧地坪、聚氨酯地坪、透水地坪、耐磨地坪、防静电地坪等；地坪机械：地坪研磨机、混凝土摊铺机、激光整平机、固化剂喷涂设备等；地面材料：PVC卷材地板、PVC片材地板、亚麻地材、橡胶地板等；运动场地：球场\u002F跑道底料、面料、面胶、硅PU等；涂料涂装：建筑涂料、防水涂料、水性涂料、地坪原材料等；混凝土相关：混凝土搅拌机、预制混凝土、外加剂、特种水泥、干混砂浆、防水材料、地面砂浆、沥青路面、建筑机器人等。\r\n\r\n新能源设备与技术：光伏组件、储能系统、氢能发电装备、新能源施工机械、节能照明系统、东数西算、算电协同技术装备。\r\n\r\n智能建造解决方案：BIM 软件、数字孪生平台、施工监测传感器、自动化仓储设备、智慧物流系统；\r\n\r\n核心零部件：液压系统、传动装置、智能控制系统、密封件、光伏逆变器、储能电池；\r\n\r\n供应链配套服务：跨境物流、供应链金融、设备租赁、二手机交易、检测认证、区块链溯源技术；\r\n\r\n    超级总工程基建装备展区\r\n\r\n展示大型、重型、高技术含量的基础设施建设专用装备，如盾构机、架桥机、大型桩工机械等。\r\n\r\n铁路基建与轨道交通路面展区\r\n\r\n聚焦铁路、城市轨道交通建设所需的轨道铺设、信号系统、供电设备、施工车辆等。\r\n\r\n水利水电工程基建与电力建设展区\r\n\r\n涵盖水电站、泵站、电网建设、新能源接入、油气管道等能源基础设施相关装备与技术。\r\n\r\n超级工程桥梁基础建设与隧道展区\r\n\r\n展示桥梁施工装备（如缆索吊、挂篮）、隧道掘进设备（TBM）、支护系统、监测仪器等。\r\n\r\n博览会观众群体：\r\n\r\n博览会组委会重点邀请：EPC（工程总承包）单位：大型建设集团、国际工程公司为核心观众群体。地方政府与项目业主基础设施投资主体。绿色建材与节能技术供应商：聚焦“双碳”目标下的产品与服务提供商。金融、法律与咨询机构：为海外工程项目提供风险防控、供应链融资等支持的专业人士。海外采购团，来自中东、非洲、东南亚、东亚以及一带一路等地区的工程采购商\r\n\r\n工程总承包与投资方：包括中建、中铁、中交等央国企工程总包单位，以及地方城投、基建投资平台代表。设备制造商与供应商：国内外工程机械、智能施工设备、绿色建材等领域的采购决策者。设计与咨询机构：勘察设计院、工程咨询公司、BIM技术服务商等专业人士。政府与行业监管人员：来自住建、交通、水利等部门的政策制定者与项目管理者。\r\n\r\n科研与技术机构：高校、研究院所及数字化转型解决方案提供商，关注BIM、数字孪生、5G、AI等技术应用 \r\n\r\n金融与服务机构：参与基建投融资的银行、保险、法律及海外安保等供应链服务企业 \r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\n \r\n\r\n ","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F07\u002F2026072710490710.jpg","2026-08-28T10:31:14+08:00",8188316,[816,820,824,828,829,833,834,838],{"id":817,"tenant_id":6,"name":818,"slug":819,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},2743,"数字化转型解决方案","%e6%95%b0%e5%ad%97%e5%8c%96%e8%bd%ac%e5%9e%8b%e8%a7%a3%e5%86%b3%e6%96%b9%e6%a1%88",{"id":821,"tenant_id":6,"name":822,"slug":823,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},2859,"前沿技术应用","%e5%89%8d%e6%b2%bf%e6%8a%80%e6%9c%af%e5%ba%94%e7%94%a8",{"id":825,"tenant_id":6,"name":826,"slug":827,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},2915,"先进制造业","%e5%85%88%e8%bf%9b%e5%88%b6%e9%80%a0%e4%b8%9a",{"id":565,"tenant_id":6,"name":566,"slug":567,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":830,"tenant_id":6,"name":831,"slug":832,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},6744,"仓储机器人","%e4%bb%93%e5%82%a8%e6%9c%ba%e5%99%a8%e4%ba%ba",{"id":541,"tenant_id":6,"name":542,"slug":543,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":835,"tenant_id":6,"name":836,"slug":837,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},12609,"工程机械展","%e5%b7%a5%e7%a8%8b%e6%9c%ba%e6%a2%b0%e5%b1%95",{"id":839,"tenant_id":6,"name":840,"slug":841,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},13875,"太阳能光伏","%e5%a4%aa%e9%98%b3%e8%83%bd%e5%85%89%e4%bc%8f",592,"冯宇15923519466中博展览",{"id":845,"tenant_id":6,"creator_id":7,"title":846,"slug":847,"content":848,"content_json":12,"content_html":848,"reading_time":7,"access_level":7,"excerpt":849,"status":553,"content_type":554,"cover_image":850,"published_at":851,"scheduled_at":544,"author_id":852,"channel_id":544,"category_id":853,"tags":854,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":17,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":884,"like_count":7,"comment_count":7,"author_name":885,"created_at":851,"updated_at":851},70793,"2027亚洲消费电子展（赛逸展）","70793","\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">2027北京AI陪伴机器人展6月举办，亦庄300+企业集聚效应凸显 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">具身智能已经成为国内重点发展的科技赛道，亦庄聚集大量机器人上下游市场主体，形成浓厚的产业创新土壤。2027年6月26‑28日，赛逸展落地北京亦创国际会展中心，总展览规模3.5万㎡，395家科创企业参展，2.6万名付费专业观众到场，10支海外采购团、5家国际财团驻场。亦庄集聚300余家具身智能上下游企业，展会扎根亦庄科创高地，区域内企业可就近参展、就近对接、就近落地。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">上届展会意向成交额30亿元，78%展商复订率。亦庄本地300余家具身智能上下游企业，覆盖核心零部件、整机研发制造、大模型算法、检测服务全链条。对于本地企业而言，参加赛逸展拥有得天独厚的区位优势。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">亦庄本地企业，不用长途异地参展，降低差旅、布展的综合成本，实现就近参展。展会现场，本地企业既可以面向全国乃至全球采购商展示产品；又可以和同在亦庄的上下游企业面对面交流对接，就近寻找供应链伙伴。展会结束之后，合作意向达成，企业可以直接在园区内部开展走访、测试、落地合作，实现就近对接、就近落地。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">同时全国各地的AI陪伴机器人企业也汇聚于此，海内外采购资源同步集中。外地展商来到亦庄，也可以感受本地完整产业生态，对接园区供应链、算力平台、量产工厂资源。参展的投资价值，对于亦庄本地企业尤为突出，以更低成本链接全国全球市场；外地企业参展，同时可以对接亦庄产业红利。平台充分释放300余家企业的产业集聚效应，推动AI陪伴机器人产业链协同发展，加速产品商业化落地。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">决策者在此集结，首发者在此登顶——赛逸展，科技商业的决胜场。Where decision‑makers convene, and pioneers prevail — CES Asia, the decisive arena for tech business！\u003C\u002Fspan>\r\n\r\n\u003Cspan data-block-type=\"\" data-sp-ignore-type=\"1\">\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">这条新闻背后，是一支完整的战队。 您看到的每一个数据、每一家展商、每一场对接，背后是一支深耕科技会展多年的专业团队。我们不只输出新闻，更输出展位解决方案、精准买家邀约、投融资对接、政策落地指引。 \u003C\u002Fspan>\u003C\u002Fspan>\u003Cimg src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F08\u002F13430306469088172-scaled.jpeg\" alt=\"13430306469088172\" width=\"2560\" height=\"1704\" 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应用、AI编程与产业动态，追踪从技术突破到商业应用的全链条资讯。","AI资讯_人工智能新闻_大模型与AI智能体最新动态","软盟资讯AI频道专注人工智能新闻与产业动态，每日更新大模型、AI智能体、AI编程、AI产品应用、AI创投、AI政策与伦理等前沿资讯，提供7×24小时AI快讯、深度解读与企业落地案例，助力从业者把握AI行业趋势。","AI资讯,人工智能新闻,大模型,AI智能体,AI产业动态,AI应用",900,{"id":944,"tenant_id":6,"name":262,"slug":945,"description":946,"parent_id":618,"channel_id":544,"icon":12,"sort_order":7,"seo_title":947,"seo_description":948,"seo_keywords":949,"article_count":950},4185,"chanye-hulianwang","聚焦产业互联网与工业互联网发展，分享平台模式、供应链数字化、产业链升级实践与标杆案例。","产业互联网资讯_工业互联网平台_产业数字化转型","软盟资讯产业互联网频道，聚焦产业互联网平台建设、工业互联网、产业链数字化、B2B产业电商、供应链协同等方向，分享制造、农业、物流、零售等各行业产业互联网标杆案例、平台模式分析与发展趋势，助力传统产业实现数字化升级与生态重构。","产业互联网,工业互联网,产业数字化,产业平台,供应链数字化,B2B电商,产业链升级,产业互联网平台",44,{"id":952,"tenant_id":6,"name":286,"slug":953,"description":954,"parent_id":928,"channel_id":544,"icon":12,"sort_order":7,"seo_title":955,"seo_description":956,"seo_keywords":957,"article_count":958},4186,"blockchain","关注区块链技术演进与产业应用落地，涵盖Web3.0、联盟链、溯源存证与行业动态。","区块链资讯_技术应用_Web3与产业区块链动态","软盟资讯区块链频道，关注区块链技术演进与产业应用落地，涵盖公链技术、联盟链、Web3.0、NFT、DeFi、区块链存证溯源、数字版权等方向，追踪技术趋势、项目动态与行业应用案例，区块链从业者的专业资讯平台。","区块链,区块链技术,区块链应用,Web3.0,联盟链,区块链溯源,数字版权,NFT",120,{"id":960,"tenant_id":6,"name":135,"slug":961,"description":962,"parent_id":920,"channel_id":544,"icon":12,"sort_order":7,"seo_title":963,"seo_description":964,"seo_keywords":965,"article_count":966},4289,"zhengce-qushi","第一时间追踪数字中国战略、行业监管政策与地方扶持动态，深度解读政策走向与产业影响。","数字经济政策趋势_数字中国政策法规_行业监管动态","软盟资讯数字经济政策趋势频道，第一时间追踪国家数字经济战略、数字中国建设规划、行业监管政策、地方扶持政策、技术标准规范等权威信息，深度解读政策走向与产业影响，企业决策者的政策参考智库。","数字经济政策,数字中国政策,政策趋势,数字经济法规,行业监管,地方政策,技术标准,十四五数字经济",191,{"id":968,"tenant_id":6,"name":325,"slug":969,"description":970,"parent_id":906,"channel_id":544,"icon":12,"sort_order":7,"seo_title":971,"seo_description":972,"seo_keywords":973,"article_count":974},4721,"xin-lingshou","聚焦零售数字化转型与智慧零售创新，分享全渠道融合、智慧门店、会员数字化与标杆案例。","新零售资讯_智慧零售_线上线下一体化零售转型","软盟资讯新零售频道，聚焦零售数字化转型与智慧零售创新，涵盖线下零售数字化、O2O全渠道融合、智慧门店、会员数字化、即时零售等方向，分享标杆零售企业转型案例、技术赋能与运营实践，助力零售企业实现线上线下一体化升级。","新零售,智慧零售,零售数字化,O2O全渠道,智慧门店,零售转型,即时零售,会员数字化",149,{"id":976,"tenant_id":6,"name":330,"slug":977,"description":978,"parent_id":906,"channel_id":544,"icon":12,"sort_order":7,"seo_title":979,"seo_description":980,"seo_keywords":981,"article_count":982},5847,"xinyetai","追踪数字经济催生的各类新业态与新兴商业模式，分析发展趋势、商业逻辑与市场机遇。","新业态资讯_数字经济新业态_新兴商业模式探索","软盟资讯新业态频道，追踪数字经济催生的各类新业态与新兴商业模式，涵盖共享经济、平台经济、元宇宙商业、数字人、AIGC商业、无人零售、银发经济等前沿方向，分析新业态发展趋势、商业逻辑与市场机遇。","新业态,新兴业态,数字经济新业态,新商业模式,商业创新,共享经济,平台经济,新兴产业",63,{"id":984,"tenant_id":6,"name":291,"slug":985,"description":986,"parent_id":928,"channel_id":544,"icon":12,"sort_order":7,"seo_title":987,"seo_description":988,"seo_keywords":989,"article_count":990},5862,"software","分享软件开发技术趋势、编程框架、架构设计与工程实践，追踪新技术、分享实战经验。","软件资讯_编程技术趋势_架构设计与开发实践","软盟资讯软件开发频道，分享软件开发技术趋势、编程框架、架构设计、工程实践与工具推荐，涵盖前端、后端、移动开发、小程序开发、低代码等方向，追踪新技术、分享实战经验与踩坑指南，开发者和技术管理者的高质量技术资讯平台。","软件,编程技术,软件架构,开发实践,前端开发,后端开发,低代码,开发工具",333,{"id":992,"tenant_id":6,"name":335,"slug":993,"description":994,"parent_id":906,"channel_id":544,"icon":12,"sort_order":7,"seo_title":995,"seo_description":996,"seo_keywords":997,"article_count":998},6219,"xin-dianshang","关注电商行业新模式与新玩法，涵盖直播电商、社交电商、兴趣电商、跨境电商等前沿动态。","新电商资讯_直播电商社交电商_电商新模式动态","软盟资讯新电商频道，关注电商行业新模式、新业态与新玩法，涵盖直播电商、社交电商、兴趣电商、跨境电商、社区团购等方向，追踪平台政策、运营玩法、品牌案例与行业趋势，电商从业者了解行业新动态的首选资讯平台。","新电商,直播电商,社交电商,兴趣电商,跨境电商,电商新模式,电商运营,电商趋势",238,{"id":1000,"tenant_id":6,"name":140,"slug":1001,"description":1002,"parent_id":920,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1003,"seo_description":1004,"seo_keywords":1005,"article_count":1006},15109,"chanye-shuju","汇总数字经济核心产业规模、行业增速与研究报告，一站式获取权威统计数据与趋势分析","数字经济产业数据_行业规模增速_研究报告白皮书","软盟资讯数字经济产业数据频道，汇总数字经济核心产业规模、行业增速数据、市场研究报告、白皮书解读、权威统计数据，覆盖信通院、工信部、麦肯锡等机构发布的最新数据，一站式获取数字经济产业数据与趋势分析。","数字经济数据,产业数据,数字经济规模,行业增速,研究报告,白皮书,市场规模,产业研究",53,{"id":1008,"tenant_id":6,"name":152,"slug":1009,"description":1010,"parent_id":920,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1011,"seo_description":1012,"seo_keywords":1013,"article_count":1014},15110,"quyu-jingji","追踪各省市数字经济发展动态、地方实践、示范区建设与产业园落地，了解区域数字经济最新进展。","区域数字经济_地方经济动态_数字经济示范区建设","软盟资讯区域经济频道，追踪全国各省市数字经济发展动态、地方经济实践、数字经济示范区建设、产业园落地、城市数字化转型等区域资讯，覆盖长三角、珠三角、京津冀、中西部等重点区域，了解地方数字经济发展的权威信息平台。","区域数字经济,地方数字经济,区域经济,数字经济示范区,数字经济产业园,城市数字化,地方实践",14,{"id":1016,"tenant_id":6,"name":146,"slug":1017,"description":1018,"parent_id":920,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1019,"seo_description":1020,"seo_keywords":1021,"article_count":1022},15112,"xinzhi-shengchanli","关注新质生产力发展与数字经济新动能，追踪科技创新、新兴产业动态与地方实践。","新质生产力资讯_数字经济新动能_科技创新产业动态","软盟资讯新质生产力频道，关注新质生产力发展、数字经济新动能、科技创新与产业变革等前沿话题，追踪人工智能、量子计算、生物科技、新能源、先进制造等新兴产业动态，解读新质生产力政策、地方实践与发展机遇。","新质生产力,新质生产力政策,数字经济新动能,科技创新,新兴产业,产业变革,新质生产力发展",41,{"id":1024,"tenant_id":6,"name":158,"slug":1025,"description":1026,"parent_id":920,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1027,"seo_description":1028,"seo_keywords":1029,"article_count":1030},15113,"xinchang-guochanhua","信创产业资讯，追踪信创产业政策、国产替代进展与自主可控生态建设，覆盖CPU、操作系统、数据库等全产业链动态与厂商分析。","信创产业资讯_国产化替代_自主可控生态建设","软盟资讯信创国产化频道，追踪信创产业政策、国产替代进展、自主可控技术、信创生态建设、党政信创、行业信创等核心话题，覆盖CPU、操作系统、数据库、中间件、办公软件等全产业链，信创领域专业资讯平台。","信创产业,国产化替代,自主可控,信创生态,党政信创,行业信创,信创厂商,信创产品",16,{"id":670,"tenant_id":6,"name":105,"slug":1032,"description":1033,"parent_id":936,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1034,"seo_description":1035,"seo_keywords":1036,"article_count":1037},"ai-damoxing","追踪全球AI大模型技术前沿与产业动态，覆盖版本迭代、开源进展、厂商格局与专业评测。","AI大模型资讯_基础模型开源_AI模型评测对比","软盟资讯AI大模型频道，追踪全球AI大模型技术前沿与产业发展，涵盖GPT、Gemini、Claude、文心一言、通义千问、DeepSeek、豆包等主流AI大模型的版本迭代、开源动态与技术突破，深度解读AI基础模型技术路线、AI厂商竞争格局与评测排名。","AI大模型,基础模型,大模型开源,AI模型评测,大模型厂商,大模型应用,AI模型对比,大模型技术",208,{"id":1039,"tenant_id":6,"name":110,"slug":1040,"description":1041,"parent_id":936,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1042,"seo_description":1043,"seo_keywords":1044,"article_count":1045},15116,"ai-zhinengti","聚焦AI智能体与Agent技术发展，覆盖RAG、多智能体协作、企业落地实践与智能体平台动态。","AI智能体资讯_Agent与RAG落地_智能体平台","软盟资讯AI智能体频道，聚焦AI Agent技术演进与企业级落地应用，覆盖多智能体协作、RAG检索增强、智能体框架、Agent开发平台、工作流自动化等核心方向，分享智能客服、知识问答、业务自动化等场景落地案例与实践经验。","AI智能体,Agent,RAG,多智能体,智能体平台,智能体落地,企业智能体,AI Agent",267,{"id":1047,"tenant_id":6,"name":115,"slug":1048,"description":1049,"parent_id":936,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1050,"seo_description":1051,"seo_keywords":1052,"article_count":1053},15117,"ai-biancheng","关注AI赋能软件开发，涵盖AI代码生成、编程工具测评与实战教程，帮助开发者提升效率。","AI编程开发_AI代码工具_AIGC编程实战教程","软盟资讯AI编程频道，关注人工智能赋能软件开发，涵盖AI代码生成、AI编程助手、低代码开发、AIGC编程工具、智能调试等方向，分享Cursor、GitHub Copilot、通义灵码等工具测评与实战教程，帮助开发者提升编程效率，拥抱AI时代开发新范式。","AI编程,AI代码,AI编程工具,Copilot,AI开发,AIGC编程,智能编程,低代码",46,{"id":558,"tenant_id":6,"name":120,"slug":1055,"description":1056,"parent_id":936,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1057,"seo_description":1058,"seo_keywords":1059,"article_count":1060},"ai-yingyong","分享各行业AI产品应用落地案例与企业AI转型实践，覆盖制造、零售、金融、医疗等多行业解决方案。","AI产品应用落地_企业AI转型_行业AI解决方案案例","软盟资讯AI产品应用频道，分享AI技术在各行业的落地应用与企业AI转型实践，覆盖AI+制造、零售、金融、医疗、教育、政企等多行业解决方案，解读生成式AI、智能体、计算机视觉等技术如何赋能业务增长、降本增效与流程重构。","AI产品应用,AI产品应用落地,企业AI转型,行业AI,AI案例,AI解决方案,AI赋能,企业AI",143,{"id":1062,"tenant_id":6,"name":125,"slug":1063,"description":1064,"parent_id":936,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1065,"seo_description":1066,"seo_keywords":1067,"article_count":1068},15119,"ai-chuangtou","追踪AI产业创业投资动态，涵盖公司融资、行业格局、创业公司发展与产业研究报告。","AI产业创投_AI公司融资_行业格局与创业动态","软盟资讯AI产业频道，追踪全球人工智能产业与创业投资动态，涵盖AI独角兽融资、大厂AI战略、行业格局变化、创业公司成长与产业研究报告，分析AI产业链上下游发展机遇与投资趋势，AI创业者、投资人与行业分析师的信息参考平台。","AI产业,AI创投,AI融资,AI创业,AI公司,AI投资,人工智能产业,AI独角兽",73,{"id":1070,"tenant_id":6,"name":130,"slug":1071,"description":1072,"parent_id":936,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1073,"seo_description":1074,"seo_keywords":1075,"article_count":1076},15120,"ai-zhengce","关注人工智能政策监管与伦理治理，追踪AI法规、数据安全、算法治理与行业标准制定动态。","AI政策资讯_人工智能监管_数据安全伦理治理","软盟资讯AI政策与伦理频道，关注全球人工智能监管政策与伦理治理，追踪生成式AI管理办法、数据安全法规、算法治理、行业标准制定、AI伦理与社会影响等议题，为政企客户提供AI合规与治理的权威政策参考。","AI政策,AI监管,AI伦理,人工智能法规,数据安全,AI治理",66,{"id":1078,"tenant_id":6,"name":267,"slug":1079,"description":1080,"parent_id":618,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1081,"seo_description":1082,"seo_keywords":1083,"article_count":618},15121,"shuzi-zhengwu","关注数字政府建设与政务数字化转型，分享智慧政务系统、一网通办、数据共享等创新实践与地方案例。","数字政务资讯_智慧政务建设_政务数字化转型方案","软盟资讯数字政务频道，关注数字政府建设、政务数字化转型、智慧政务系统、一网通办、数据共享、政务服务创新等方向，分享各地政务数字化实践案例、政策动态与技术应用，为政企客户提供政务数字化参考与解决方案思路。","数字政务,智慧政务,政务数字化,数字政府,一网通办,政务服务,政务数字化转型,数据共享",{"id":1085,"tenant_id":6,"name":272,"slug":1086,"description":1087,"parent_id":618,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1088,"seo_description":1089,"seo_keywords":1090,"article_count":1091},15122,"zhineng-zhizao","追踪制造业数字化转型与智能工厂建设，分享工业互联网、数字孪生、工业软件等技术落地与灯塔工厂案例。","智能制造资讯_工业数字化_智能工厂与制造业转型","软盟资讯智能制造频道，追踪制造业数字化转型、智能工厂建设、工业互联网、工业软件、数字孪生等前沿方向，分享MES\u002FERP\u002FSCADA等系统落地实践、灯塔工厂案例与工业4.0趋势，助力制造企业实现智能化升级、降本增效与柔性生产。","智能制造,工业数字化,智能工厂,工业互联网,制造业转型,数字孪生,工业软件,灯塔工厂",137,{"id":774,"tenant_id":6,"name":277,"slug":1093,"description":1094,"parent_id":618,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1095,"seo_description":1096,"seo_keywords":1097,"article_count":1098},"qiye-zhuanxing","聚焦企业数字化转型与数智化升级，分享转型战略、实施路径、组织变革与标杆案例，助力企业高效升级。","企业数字化转型_数智化升级_转型方法与落地案例","软盟资讯企业转型频道，专注企业数字化转型战略、数智化升级路径、组织变革、技术选型与标杆案例，覆盖中小微到中大型企业的全规模转型实践，分享转型方法论、避坑指南与ROI评估方法，帮助企业找到适合自身的数字化转型路径。","企业数字化转型,企业数智化,数字化升级,转型方法论,企业转型案例,数字化路径,企业上云,转型避坑",31,{"id":906,"tenant_id":6,"name":53,"slug":1100,"description":1101,"parent_id":544,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1102,"seo_description":1103,"seo_keywords":1104,"article_count":1105},"xin-shangye","聚焦数字经济时代的新商业创新，覆盖新电商、新零售、互联网创业、新业态与商业模式，追踪前沿趋势与实战经验。","新商业新闻_互联网创业与商业模式动态","软盟资讯新商业频道，聚焦数字经济时代的新商业模式创新，覆盖新电商、新零售、互联网创业、新业态、商业模式五大方向，追踪直播电商、私域运营、即时零售、AI商业等前沿趋势，分享创业案例、模式解读与实战经验，新商业从业者与创业者的趋势参考平台。","新商业,新电商,新零售,互联网创业,商业模式,新业态,商业创新,创业案例",21,{"id":1107,"tenant_id":6,"name":296,"slug":1108,"description":1109,"parent_id":928,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1110,"seo_description":1111,"seo_keywords":1112,"article_count":1068},15125,"yunjisuan","追踪云计算技术与产业动态，涵盖云原生、企业上云、CDN加速与云运维实践。","云计算资讯_云服务器云原生_企业上云与云安全趋势","软盟资讯云计算频道，追踪云计算技术与产业发展动态，涵盖云服务器、云原生、容器、微服务、云存储、CDN加速、企业上云等方向，解读AWS、阿里云等主流云厂商动态，分享上云方案、成本优化与运维实践，企业上云的技术参考平台。","云计算,云服务器,云原生,企业上云,云存储,CDN加速,云运维,容器技术",{"id":1114,"tenant_id":6,"name":301,"slug":1115,"description":1116,"parent_id":928,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1117,"seo_description":1118,"seo_keywords":1119,"article_count":1120},15126,"yuanyuzhou","探索元宇宙与数字孪生技术的产业落地，涵盖VR\u002FAR、虚拟数字人、工业元宇宙与3D可视化。","元宇宙资讯_VR\u002FAR与数字孪生应用动态","软盟资讯元宇宙\u002F数字孪生频道，探索元宇宙技术在产业端的落地应用，涵盖数字孪生、VR\u002FAR\u002FMR、虚拟数字人、3D可视化、空间计算、工业元宇宙等前沿方向，分享技术进展、应用场景、标杆案例与商业化路径。","元宇宙,数字孪生,VR\u002FAR,虚拟数字人,工业元宇宙,3D可视化,空间计算,MR",68,{"id":1122,"tenant_id":6,"name":306,"slug":1123,"description":1124,"parent_id":928,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1125,"seo_description":1126,"seo_keywords":1127,"article_count":1128},15127,"wangluo-anquan","关注网络安全、云安全、数据安全与等保合规，追踪安全事件、技术趋势与防御方案。","网络安全资讯_云安全数据安全_等保合规与安全防御","软盟资讯网络安全频道，关注网络空间安全、云安全、数据安全、应用安全、等保合规等领域，追踪安全事件、漏洞预警、安全技术、政策法规与最佳实践，分享DDoS防御、WAF防火墙、零信任等安全方案，企业安全建设的信息参考平台。","网络安全,云安全,数据安全,等保合规,安全防御,DDoS防护,WAF,零信任",42,{"id":1130,"tenant_id":6,"name":59,"slug":1131,"description":1132,"parent_id":544,"channel_id":544,"icon":12,"sort_order":7,"seo_title":1133,"seo_description":1134,"seo_keywords":1135,"article_count":1136},15128,"shuzi-yingxiao","聚焦数字时代营销方法与实战案例，覆盖AI营销、内容营销、短视频直播、私域运营四大方向。","数字营销_AI营销与内容营销动态","软盟资讯数字营销频道，聚焦数字时代的营销方法与实战案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90定档10月1日：发布即开售，\"史上最强Mate\"正面硬刚万元旗舰战场","83827","——深度观察：一场从芯片到定价逻辑的系统性突围\r\n2026年9月29日上午，华为手机官方正式对外宣布，新一代旗舰华为Mate 90系列将于10月1日上午10点召开新品发布会，并将在发布会结束当天中午12点08分，全渠道同步开启现货开售。从官宣到发布，从发布到开卖，全程只间隔两小时——这在华为旗舰\u003Ca href=\"\u002Fai\u002Fai-yingyong\" title=\"AI产品应用\">AI产品应用\u003C\u002Fa>的历史上尚属首次。\r\n\u003Cimg class=\"attachment-full size-full\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Faiimg6abb68433aea50.89655173.webp\" alt=\"中小品牌如何用AI建立GEO基线测试表：从提问样本、答案留档到月度复测\" width=\"1280\" height=\"720\" \u002F>\r\n消息一出，延续数周的市场猜测终于尘埃落定。而在\"发布即开售\"这一前所未有的节奏背后，隐藏着比表象更值得玩味的信号：华为正在用一整套从芯片、影像到定价逻辑的系统性打法，向2026年高端手机市场发起一场\"史上最强\"的正面突围。\r\n\u003Ch2>\u003Cstrong>\u003Cb>一、发布即开售：备货底气与市场节奏的双重信号\u003C\u002Fb>\u003C\u002Fstrong>\u003C\u002Fh2>\r\n在过往的华为Mate系列产品周期里，发布会与正式发货之间往往隔着数天甚至一两周的等待期，用户需经历漫长的抢购与预售。而此次Mate 90系列直接将这一环节省略——发布会当天中午即现货开售，释放出两个明确的信号。\r\n其一，是备货量的底气。据多方反馈，Mate 90系列的现货自9月25日之后便已陆续运抵全国各地线下门店，机器早已到位，就等官宣开卖。全系现货供应，意味着华为对这一代旗舰的产能爬坡与供应链调度信心十足。\r\n其二，是市场节奏的精心设计。选择在国庆假期首日发布并同步开售，虽有假期关注度分散之虞，却也精准卡位了\"黄金周\"的消费场景，意图在假期释放最大的首销动能。这种略带开创性的节奏安排，本身就透露出华为对这款年度旗舰寄予的厚望。\r\n\u003Ch2>\u003Cstrong>\u003Cb>二、五机齐发：史上最全产品矩阵，价格梯度拉满\u003C\u002Fb>\u003C\u002Fstrong>\u003C\u002Fh2>\r\n这一代Mate 90系列一改往日三机布局，一口气推出五款机型——Mate 90、Mate 90 Pro、Mate 90 Pro Max、Mate 90 Pro Max典藏版以及RS非凡大师，堪称Mate系列史上最全面的一代。\r\n五款机型形成了清晰的价格阶梯：标准版守稳主流旗舰市场，Pro版卡位中高端，Pro Max直冲万元价位，典藏版与RS非凡大师则锚定超高端稀缺市场。整个系列覆盖从5000元到13000元以上的完整价格区间，每一档都精准切入了不同的用户群体，形成了一套完整的\"防御工事\"。\r\n据多方渠道预估，标准版起售价约5499元，Pro版约8000元，Pro Max约9000元，典藏版约11000元，RS非凡大师约13000元。相较上一代Mate 80系列，全系价格明显上探——这背后并非简单的跟风提价，而是多重成本与技术升级叠加的结果。\r\n\u003Ch2>\u003Cstrong>\u003Cb>三、芯片突围：麒麟9050 Pro的\"逻辑折叠\"革命\u003C\u002Fb>\u003C\u002Fstrong>\u003C\u002Fh2>\r\nMate 90系列最核心的王牌，当属顶配机型搭载的麒麟9050 Pro芯片。这颗芯片最革命性的变化，在于其首创的\"逻辑折叠\"技术。\r\n传统芯片依赖不断缩小制程来提升性能，而麒麟9050 Pro则另辟蹊径——将芯片内部的逻辑电路从\"平铺一层\"改为\"上下两层垂直堆叠\"，并加入垂直互联通道。通俗地说，就是让芯片从单层\"小平房\"升级为带高速电梯的\"复式洋房\"，信号传输距离大幅缩短，时延显著降低，晶体管密度比上一代提升约55%。\r\n这一架构创新的意义远超单一产品的性能跃升。麒麟9050 Pro依托\"韬定律\"的逻辑折叠架构，让华为得以在不依赖更高阶光刻机的前提下，实现芯片集成度与性能的双重突破——这标志着华为在芯片设计上走出了一条独立于先进制程限制的差异化路径，也为国内半导体产业链注入了一剂强心针。\r\n落到实际数据，麒麟9050 Pro的9核灵犀CPU单核提升24%、多核提升52%，马良GPU渲染性能提升142%，支持硬件级光线追踪，整机综合性能较上一代提升42%；更难能可贵的是功耗不升反降，等性能条件下NPU功耗降低66%、GPU功耗降低58%。对普通用户而言，最直观的感受是游戏帧率更稳、日常更省电、发热控制更好。\r\n值得注意的是，芯片采用梯度方案——标准版与Pro版搭载麒麟9035，Pro Max、典藏版及RS非凡大师则首发麒麟9050 Pro，形成了清晰的产品力分层。\r\n\u003Ch2>\u003Cstrong>\u003Cb>四、全维升级：屏幕、影像、续航的\"无短板\"补强\u003C\u002Fb>\u003C\u002Fstrong>\u003C\u002Fh2>\r\n除芯片外，Mate 90系列在屏幕、影像、续航等维度的全面迭代，共同构筑了\"史上最强Mate\"的完整拼图。\r\n屏幕方面，全系回归直屏设计，Pro Max及RS版本采用双层OLED屏幕，峰值亮度据传可突破10000尼特，登顶华为史上最亮手机，同时覆盖BT.2020广色域，兼顾显示效果与户外强光下的可读性。全系标配第三代昆仑玻璃与防窥技术，耐用性与隐私防护同步升级。\r\n影像方面，这一代延续了分级策略。Pro Max版升级至2亿像素潜望长焦，采用全流程国产化的传感器，配合新一代LOFIC技术与可变光圈，远景拍摄能力大幅提升。而最具想象力的，是Pro Max典藏版支持外接睿影Z10模块相机——一个自带1英寸超大底、支持24-240mm焦段与10倍光学变焦的微型相机模块，手机负责计算摄影处理，模块负责光学采集，各取所长。这种\"给手机接一个专业镜头\"的量产玩法，在整个手机行业尚属首次。\r\n续航与通信方面，全系电池容量显著提升，最高可达7000mAh级别，全系支持100W有线快充与最高80W无线快充。更关键的信号是，工信部入网信息已明确标注\"5G数字移动电话机\"——这是华为国行旗舰在Mate 40系列之后，首次在入网资质中公开恢复5G标识，彻底解决了华为旗舰近年来的最大痛点。\r\n\u003Ch2>\u003Cstrong>\u003Cb>五、涨价逻辑：成本承压与技术价值并行的定价重构\u003C\u002Fb>\u003C\u002Fstrong>\u003C\u002Fh2>\r\nMate 90系列全系涨价已成定局，这背后是成本压力与技术升级的双重驱动。\r\n从成本端看，2026年全球存储芯片价格持续飙升，AI算力需求大幅虹吸DRAM和NAND产能，第二季度手机内存价格环比涨幅一度超过80%。华为高管余承东此前已公开预警，内存等核心元器件持续涨价，若维持原价销售企业将面临亏损。存储成本占整机比重提升至三至四成，叠加自研芯片与高端物料投入，成本压力客观存在。\r\n从价值端看，涨价也并非毫无支撑。麒麟9050 Pro的架构突破、双层OLED的显示升级、2亿像素潜望长焦、7000mAh级大电池——每一分加价都对应着实打实的技术迭代。华为在9月初先行上调在售的Mate 80系列售价，也在为Mate 90的价格带做心理铺垫。\r\n这套\"先锚定预期，再以技术价值支撑溢价\"的定价策略，标志着华为已不再固守性价比路线，而是正式以技术价值向苹果iPhone 18 Pro所在的万元价位战场发起正面冲击。\r\n\u003Ch2>\u003Cstrong>\u003Cb>六、巅峰对决：华为与苹果的万元级正面交锋\u003C\u002Fb>\u003C\u002Fstrong>\u003C\u002Fh2>\r\n将视角拉远，Mate 90系列的定价策略，清晰地指向了一场与iPhone 18 Pro系列的正面硬刚。\r\n苹果iPhone 18 Pro国行256GB版本定档9999元，而华为Mate 90 Pro Max预估价约9000元——华为正以相对更低的价格切入苹果固守的万元高端主场，并力图以更全面的配置实现\"越级对标\"。\r\n两者的差异化优势泾渭分明：苹果依托A20 Pro的2纳米芯片与封闭生态的用户粘性，却仍保留灵动岛设计，充电停留在30W，且缺失卫星通信与诸多本土化功能；华为则以真全面屏、100W快充、7000mAh级大电池、2亿像素长焦、卫星通信等\"无短板\"配置，在硬件参数与本土体验上建立起明确优势。\r\n这场对决的意义，早已超出两款产品的销量之争。它意味着中国高端智能手机品牌，正首次以完整的五机矩阵、自主可控的芯片架构与全套技术体系，与全球最强的竞争对手在最高价位段展开对等竞争。\r\n\u003Ch2>\u003Cstrong>\u003Cb>结语：一场关于\"确定性的突围\"\u003C\u002Fb>\u003C\u002Fstrong>\u003C\u002Fh2>\r\n从发布即开售的节奏自信，到麒麟9050 Pro的逻辑折叠革命，再到敢于正面硬刚万元旗舰的定价底气，华为Mate 90系列所展现的，是一场从芯片、硬件到商业策略的系统性突围。\r\n在这个AI算力虹吸存储产能、全球高端市场格局加速重塑的时间节点，华为以\"史上最强Mate\"的姿态，向市场宣告的不仅是一款新旗舰的到来，更是中国智能手机产业在核心芯片自主、高端市场话语权上的一次重要突破。10月1日上午10点的发布会，即将为这场期待已久的对决，拉开正式序幕。","2026年9月29日上午，华为手机官方正式对外宣布，新一代旗舰华为Mate 90系列将于10月1日上午10点召开新品发布会，并将在发布会结束当天中午12点08分，全渠道同步开启现货开售。从官宣到发布，从发布到开卖，全程只间隔两小时——这在华为旗舰产品的历史上尚属首次。","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Faiimg6abb68433aea50.89655173.webp","2026-09-29T15:20:51+08:00",[1323,1327,1331,1335,1339],{"id":1324,"tenant_id":6,"name":1325,"slug":1326,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},5907,"用户粘性","%e7%94%a8%e6%88%b7%e7%b2%98%e6%80%a7",{"id":1328,"tenant_id":6,"name":1329,"slug":1330,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7707,"市场格局","%e5%b8%82%e5%9c%ba%e6%a0%bc%e5%b1%80",{"id":1332,"tenant_id":6,"name":1333,"slug":1334,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7952,"技术迭代","%e6%8a%80%e6%9c%af%e8%bf%ad%e4%bb%a3",{"id":1336,"tenant_id":6,"name":1337,"slug":1338,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},8516,"半导体产业链","%e5%8d%8a%e5%af%bc%e4%bd%93%e4%ba%a7%e4%b8%9a%e9%93%be",{"id":1340,"tenant_id":6,"name":1341,"slug":1342,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},17574,"半导体产业","semiconductor-industry","华为Mate 90系列将于10月1日上午10点召开新品发布会",220,"2026-10-01T05:31:21+08:00",{"id":1347,"tenant_id":6,"creator_id":7,"title":1348,"slug":1349,"content":1350,"content_json":12,"content_html":1350,"reading_time":7,"access_level":7,"excerpt":1351,"status":553,"content_type":554,"cover_image":1352,"published_at":1353,"scheduled_at":544,"author_id":1354,"channel_id":544,"category_id":853,"tags":1355,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":1376,"is_pinned":15,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":1213,"like_count":7,"comment_count":7,"author_name":1377,"created_at":1353,"updated_at":1378},73918,"2027年第20届深圳国际连接器、线缆线束及加工设备展览会","73918","\u003Cp style=\"text-align: center;\">\u003Cstrong>2027第20届深圳国际连接器、线缆线束及加工设备展览会\u003C\u002Fstrong>\u003Cbr data-filtered=\"filtered\" \u002F>\u003Cstrong>时间：2027年08月25-27日\u003C\u002Fstrong>\u003Cbr data-filtered=\"filtered\" \u002F>\u003Cstrong>地点：深圳国际会展中心（宝安新馆）\u003C\u002Fstrong>\u003C\u002Fp>\r\n\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fyoujingli_1788946054497-1.png\" alt=\"\" width=\"700\" height=\"440\" \u002F>\r\n\r\n当前3C电子、新能源汽车、AI算力、光储充、具身智能、低空经济、工业自动化、家用电器等热门赛道迎来高速增长，为连接器与线束行业打开广阔的增长空间。尤其新能源汽车与 AI 算力产业的快速崛起，正从高压、高速、高可靠三大维度驱动连接器行业规模扩容，加速全产业链的迭代升级。高压大电流、高频高速传输、汽车线束、微型化线束大量应用，对线束加工工艺、生产装备提出更高标准，线束加工行业正迎来深刻变革，生产模式由传统人工半自动化，向高精度、柔性化、数字化、国产化方向迈进。作为各类装备的能量血管与数据神经--连接器、线束行业迎来了高速迭代与国产化替代的重大机遇，市场规模持续扩容，上下游供应链合作需求激增。\u003Cbr data-filtered=\"filtered\" \u002F>为进一步打通产业上下游对接渠道，搭建集产品展示、技术交流、商贸采购、新品发布于一体的全产业链专业平台，2027第20届深圳国际连接器\u002F线缆线束及加工设备展览会（简称“ICH Shenzhen 2027”，将于2027年8月25-27日在深圳国际会展中心隆重举办，以“赋能创新、连接未来”为主题，将持续发挥创新活力，本届展会展示规模超40000㎡，近700家行业知名企业参展，上万款新产品及新技术集中亮相。预计将吸引50000余名海内外专业观众到场参观洽谈！\r\n\r\n“ICH展”作为连接器\u002F线束加工领域的旗舰大展，秉承市场化、专业化、国际化、品牌化发展方向，已然凭多年的展会影响成为全球新品首发地，前沿技术首推地。伴随中国智造的创新力与竞争力日益壮大，已成为全球连接器线束加工行业发展的重要力量，ICH展也将成为前瞻行业趋势，预见行业未来主阵地，为参展商创造展示最新技术、结交重要合作伙伴、开拓新兴市场创造难得的机遇。ICH2027深圳展将继续锚定当下高景气行业应用，激发产业活力，打通上下游技术交流与商贸对接通道，助力企业把握市场风口。\r\n\r\n上届展会于2026年08月26-28日在深圳国际会展中心圆满闭幕，作为行业全产业链的国际化商贸交流展示平台，吸引了来自全球各地近700家领尖企业参展，在展会现场众多国内外连接器新品及线束加工技术应接不暇，展商纷纷展出最新创新成果，抢滩布局新兴市场。其中历届代表参展企业有：银钢智能、大森林、宏晟智能、卓迈智能、瑞峰成、中山宏晨、瑞领自动化、Molex、TE、巴斯巴、维峰电子、思索技术、HRS、罗森伯格、冠钜自动化、立东自动化、格锐威、瑞晟智能、博之旺、日精智能、钜海机械、莱奥智能、乾威精密、训业自动化、海昌智能、研泰自动化、宜鑫机械、邦能超声、崇德超声、沃尔核材、贝迪、兴荣精密、博创智能、盛惠科技、温达电子、深海电子、快利电子、日研精密、联和电子、乔业电子、科极电子、华瞬智能、新明和、易加科技、浩锐拓、天瑞仪器、华宝电子、华工激光、力码科、博穆精密、中量科技、津达立、维品电子、晴明电子、商洛电子、格律电子、欧卡工业、华兴诺、飞母托米、鑫钜、固安力、金合能超声等知名企业纷纷亮相，带来各自的拳头产品，秀出“看家本领”。全面展示自主创新力量，同台“炫技”，尽情演绎“高端科技 中国制造”，共同谱写产业升级的华彩乐章。\r\n\r\n展品范围\u003Cbr data-filtered=\"filtered\" \u002F>1、连接器、接插件展区\u003Cbr data-filtered=\"filtered\" \u002F>端子台、防水连接器、防爆连接器、圆形连接器、线缆连接器、同轴连接器、汽车连接器、电子连接器、通讯连接器、工业连接器、光储充连接器、高低压连接器、电器连接器、电池连接器、重载连接器；接插件、插头、插座、开关、端子、铜排、插针、排针、FAKRA、USB\u002FTYPE-C；连接器组装及非标自动化设备、视觉检测、环境测试设备、包装设备、测试机、焊接机、注塑机、检测仪器、合金铜材、塑胶材料、胶水等各类配套产品。\u003Cbr data-filtered=\"filtered\" \u002F>2、线缆线束加工设备区\u003Cbr data-filtered=\"filtered\" \u002F>裁线机、EMS系统、插壳机、端子模具、端子机、排线机、铜带机、沾锡机、剥线机、点胶机、绕线扎带机、超声波焊接机、端子断面检测仪、AC\u002FDC线材生产加工设备、FAKRA\u002FHSD自动化智能生产线、以太网MTD\u002FHMTD线束自动化设备，喷码贴标机，线处理器、导通测试仪、汽车线束测试\u002F装配线、线束工艺设计软件、新能源汽车线束自动化生产线等其他线束加工设备及配件。\u003Cbr data-filtered=\"filtered\" \u002F>3、电线电缆展区\u003Cbr data-filtered=\"filtered\" \u002F>数据线缆、护套线、电子线材、AOC\u002FDAC线缆、同轴电缆、纯铜线、高温线、线缆测试仪、线材生产与精制机械及线缆处理设备、成缆机及绞线机、辅助加工材料、屏蔽材料、线缆附件、盘具、包装材料、测控技术、相关领域配套服务及产品。\u003Cbr data-filtered=\"filtered\" \u002F>4、线束线材及配线器材展区\u003Cbr data-filtered=\"filtered\" \u002F>接线端子、绝缘护套、导线及绝缘包扎材料等；线束线材：汽车线束、二轮车线束、3C电子线材及各类家电\u002F机器人\u002F无人机\u002F新能源\u002F光储充\u002F航空航天\u002F智能家居\u002F安防\u002F灯饰线束、AC\u002FDC线材、HDMI线等；配线器材：尼龙扎线带、配线槽、配线标志、电线固定头、线束胶带、固定座等各类配线器材。\u003Cbr data-filtered=\"filtered\" \u002F>5.高速互联专区\u003Cbr data-filtered=\"filtered\" \u002F>高速连接器：224G\u002F448G、MCIO、OSFPDD、PCIe 高速连接器、光电混合连接器，线缆组件：Twin-Ax差分线缆、高频同轴线、高速DAC\u002FAOC铜缆、AI服务器高速线束，光模块与光缆：400G\u002F800G\u002F1.6T光模块、AOC有源光缆，光纤器件：MPO\u002FMTP、LC 光纤连接器、高速光纤跳线、CPO\u002FNPO 配套互连器件，高速铜缆，差分测试仪、高频\u002F高速线缆加工设备、线束全自动产线、超声波焊接、AI视觉检测、信号完整性测试设备，AI 算力中心高速布线方案、数字化高速线束工厂方案。","2027第20届深圳国际连接器\u002F线缆线束及加工设备展览会（简称“ICH Shenzhen 2027”，将于2027年8月25-27日在深圳国际会展中心隆重举办，以“赋能创新、连接未来”为主题，将持续发挥创新活力，本届展会展示规模超40000㎡，近700家行业知名企业参展，上万款新产品及新技术集中亮相。","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fyoujingli_1788946054497.png","2026-09-09T20:21:54+08:00",8188393,[1356,1360,1364,1368,1372],{"id":1357,"tenant_id":6,"name":1358,"slug":1359,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},1080,"工业自动化","%e5%b7%a5%e4%b8%9a%e8%87%aa%e5%8a%a8%e5%8c%96",{"id":1361,"tenant_id":6,"name":1362,"slug":1363,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},1634,"电线电缆展","%e7%94%b5%e7%ba%bf%e7%94%b5%e7%bc%86%e5%b1%95",{"id":1365,"tenant_id":6,"name":1366,"slug":1367,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},2199,"新能源汽车","%e6%96%b0%e8%83%bd%e6%ba%90%e6%b1%bd%e8%bd%a6",{"id":1369,"tenant_id":6,"name":1370,"slug":1371,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},8629,"国产化替代","%e5%9b%bd%e4%ba%a7%e5%8c%96%e6%9b%bf%e4%bb%a3",{"id":1373,"tenant_id":6,"name":1374,"slug":1375,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},12605,"深圳国际会展中心","%e6%b7%b1%e5%9c%b3%e5%9b%bd%e9%99%85%e4%bc%9a%e5%b1%95%e4%b8%ad%e5%bf%83","2027第20届深圳国际连接器\u002F线缆线束及加工设备展览会","2749","2026-09-30T09:02:04+08:00",{"id":1380,"tenant_id":6,"creator_id":7,"title":1381,"slug":1382,"content":1383,"content_json":12,"content_html":1383,"reading_time":7,"access_level":7,"excerpt":1384,"status":553,"content_type":554,"cover_image":1385,"published_at":1386,"scheduled_at":544,"author_id":1387,"channel_id":544,"category_id":853,"tags":1388,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":15,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":417,"like_count":7,"comment_count":7,"author_name":1403,"created_at":1386,"updated_at":1404},73899,"闭门沙龙直通决策层！2027北京人工智能与机器人展顶层对话","73899","\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FDSC01652-opq4693545939.jpg\" alt=\"DSC01652-opq4693545939\" width=\"1621\" height=\"1080\" \u002F>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">行业重大合作、产业趋势研判、生态协同规划，很难在开放嘈杂的展台完成深度沟通，产业高管需要私密、聚焦的交流场景。2027北京人工智能与机器人展（AACE），举办时间2027年6月26‑28日，北京亦创国际会展中心，展会开设CEO闭门沙龙与VIP洽谈区，直通产业决策圈层，打造高层顶层对话平台。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">本届AACE展览面积3.5万㎡，A、C双馆联动运营，规划395家科创企业参展。展会目标邀约2.6万名付费专业观众，大量企业创始人、集团高管、投资合伙人到场交流。组委会专项邀约10支海外采购团高管、5家国际财团负责人莅临闭门活动，搭建国内企业与海外买家、国际资本面对面沟通的私密通道。展位预定启动仅10日，展位预定占比便突破30%，众多企业高管已经提前规划行程，希望借助闭门活动链接优质资源。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">区别于面向大众开放的行业论坛，CEO闭门沙龙实行准入审核制，仅对企业创始人、总经理、技术负责人、投资机构合伙人开放，规避无效旁听，保障对话质量。议题紧扣产业当下痛点，围绕人形机器人量产落地、零部件国产化替代、AI大模型机器人融合应用、机器人商业化场景开拓、产业出海路径、投融资机遇等热点方向展开交流。参会嘉宾可以抛开对外宣传话术，坦诚交流行业难点、供应链瓶颈、采购需求与中长期布局。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">VIP独立洽谈区配套隔音空间、商务桌椅、基础会务服务，专供大额采购项目、年度供应链签约、股权投资磋商使用。不少合作项目，前期只适合高层小范围沟通，待到意向基本落地之后，再对外推进落地流程。往届展会期间，不少产业链战略合作、资本框架意向，正是诞生于闭门洽谈场景之中。依托往届积累，78%展商复订率、94%展商满意度、30亿元全周期意向成交额，充分印证高层对接带来的实际商业价值。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">对科创企业而言，普通展会更多是展品展示，而AACE的闭门沙龙，价值在于圈层链接。很多产业链关键资源、产业政策信息、未来场景规划，往往在高层交流当中率先释放。企业高管到场，一边观摩上下游新品技术，一边参与闭门交流，一次出行同时完成市场考察、技术调研、高层人脉积累三件大事，大幅降低商务出行成本。立足北京亦庄产业高地，闭门交流环节同样会联动本地产业园、场景运营平台负责人，挖掘京津冀落地试点机会。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">需要提醒的是，闭门沙龙名额属于限量资源，并不会对所有参展企业自动开放。组委会优先向预定核心展区、赛道专区、动态演示区的企业开放申报通道。越早完成展位预定，获得闭门活动申报资格的概率越高。想要打通顶层对话渠道，企业应当尽早锁定参展席位，同步提交高管参与意向。 \u003C\u002Fspan>\r\n\r\n \r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">决策者在此集结，首发者在此登顶——AACE，科技商业的决胜场。 \u003C\u002Fspan>\r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">Where decision‑makers convene, and pioneers prevail — AACE , the decisive arena for tech business！ \u003C\u002Fspan>","2027北京人工智能与机器人展（AACE），举办时间2027年6月26‑28日，北京亦创国际会展中心，展会开设CEO闭门沙龙与VIP洽谈区，直通产业决策圈层，打造高层顶层对话平台。","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FDSC01652-opq4693545939.jpg","2026-09-09T20:21:47+08:00",8188390,[1389,1393,1397,1398,1399],{"id":1390,"tenant_id":6,"name":1391,"slug":1392,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},3570,"人形机器人","%e4%ba%ba%e5%bd%a2%e6%9c%ba%e5%99%a8%e4%ba%ba",{"id":1394,"tenant_id":6,"name":1395,"slug":1396,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7217,"战略合作","%e6%88%98%e7%95%a5%e5%90%88%e4%bd%9c",{"id":1369,"tenant_id":6,"name":1370,"slug":1371,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":881,"tenant_id":6,"name":882,"slug":883,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":1400,"tenant_id":6,"name":1401,"slug":1402,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},16846,"机器人商业化","robot-commercialization","报展咨询张焱：16621645116","2026-09-30T09:02:05+08:00",{"id":1406,"tenant_id":6,"creator_id":7,"title":1407,"slug":1408,"content":1409,"content_json":12,"content_html":1409,"reading_time":7,"access_level":7,"excerpt":1410,"status":553,"content_type":554,"cover_image":1411,"published_at":1412,"scheduled_at":544,"author_id":1413,"channel_id":544,"category_id":853,"tags":1414,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":15,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":1435,"like_count":7,"comment_count":7,"author_name":1436,"created_at":1412,"updated_at":1437},73652,"湾区链动,智启春潮｜2027深圳人工智能与机器人展会4月落户福田","73652","粤港澳同心联动，大湾区深度互通！作为开春湾区智能科技领域的标杆盛会，\u003Cstrong>2027深圳国际人工智能与机器人产业链展会\u003C\u002Fstrong>将于4月重磅登陆深圳福田，抢抓春季产业采购黄金窗口期，以产业为纽带、以展会为载体，\u003Cspan class=\"nqh-mark\" data-ai-assistant-element=\"news-mark\" data-nqh-marked=\"\">打通粤港澳大湾区人工智能与机器人产业上下游壁垒\u003C\u002Fspan>，赋能区域产业协同升级、资源深度融合、供需精准对接。\r\n\r\n\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F105a8d5bb2284830bb76ed576cf5c912.jpg\" alt=\"文章配图-1\" width=\"640\" height=\"414\" \u002F>\r\n\r\n粤港澳大湾区作为全国人工智能、智能制造、机器人产业的核心集聚地，拥有完善的产业配套、顶尖的科创资源和广阔的市场空间，深圳福田更是湾区科创交流、商贸对接、产业落地的核心枢纽。依托大湾区得天独厚的产业生态与区位优势，本次展会立足深圳、联动港澳、辐射全国、链接全球，\u003Cspan class=\"nqh-mark\" data-ai-assistant-element=\"news-mark\" data-nqh-marked=\"\">深度整合湾区科创企业、核心技术、供应链资源与市场渠道\u003C\u002Fspan>，彻底打破区域产业信息壁垒，推动粤港澳智能科技产业从单点发展走向\u003Cstrong>深度联动、抱团发展、全域共赢\u003C\u002Fstrong>的全新格局。\r\n\u003Cp class=\"ql-align-center\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F53004728d7794643b4b91d8810d73c61.png\" alt=\"文章配图-1\" width=\"640\" height=\"376\" \u002F>\u003C\u002Fp>\r\n本次展会精准锚定春季产业复苏、设备更新、项目落地、采购扩容的行业刚需，是2027年华南地区开春首场高规格、全链条、专业化的人工智能与机器人产业商贸对接盛会。展会汇聚湾区乃至全国工业机器人、服务机器人、AI智能终端、核心零部件、智能控制系统、智能制造解决方案等全品类优质产品与前沿技术，覆盖工业智造、民生服务、商业应用、特种作业等多元应用场景，全方位展示行业最新技术成果、创新产品与落地案例。\r\n\r\n相较于行业其他展会，本次盛会最大亮点在于\u003Cstrong>湾区深度联动、资源精准匹配\u003C\u002Fstrong>。展会深度联动广东、香港、澳门三地行业协会、龙头企业、科创平台与采购机构，集结湾区上下游优质厂商、科研院所、经销商、采购商、投资方，搭建集产品展示、技术交流、新品发布、商贸洽谈、供需对接、投融资合作于一体的综合性产业平台。既为参展企业提供展示品牌、拓展渠道、对接港澳及海外市场的核心窗口，也为采购方搭建一站式选型、比价、采购、合作的高效渠道，大幅降低企业对接成本，提升产业合作效率。\r\n\u003Cp class=\"ql-align-center\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F204b7f4bf6f54053bc00da5104d1856a.png\" alt=\"文章配图-1\" width=\"640\" height=\"377\" \u002F>\u003C\u002Fp>\r\n春日奋进，商机涌动，春季正是企业迭代设备、补充产能、布局市场、拓展合作的黄金时节。2027深圳国际人工智能与机器人产业链展会紧抓产业春季复苏红利，聚焦行业痛点与市场需求，以规模化展览、专业化对接、高端化论坛、精准化服务，激活大湾区智能产业新动能，助力全行业抢抓新质生产力发展机遇。\r\n\r\n链通湾区产业，赋能智能未来！2027年4月，深圳福田，这场万众期待的人工智能与机器人产业年度盛会，将以满满的商机、前沿的技术、优质的资源，迎接全国行业同仁齐聚湾区、共话合作、共拓蓝海、共启智能产业新征程！\r\n\u003Cp class=\"ql-align-center\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F316d46fc78ce483b97ebfc0e84b6a4e2.png\" alt=\"文章配图-2\" width=\"640\" height=\"378\" \u002F>\u003C\u002Fp>\r\n\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fbfdb984a5ec840f18e0e6f155dd32865.jpg\" alt=\"文章配图-1\" width=\"640\" height=\"360\" \u002F>","2027深圳国际人工智能与机器人产业链展会将于4月重磅登陆深圳福田，抢抓春季产业采购黄金窗口期，以产业为纽带、以展会为载体，打通粤港澳大湾区人工智能与机器人产业上下游壁垒，赋能区域产业协同升级、资源深度融合、供需精准对接。","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F00.png","2026-09-09T14:37:00+08:00",8188236,[1415,1419,1423,1427,1431],{"id":1416,"tenant_id":6,"name":1417,"slug":1418,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},1317,"人工智能展","%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%b1%95",{"id":1420,"tenant_id":6,"name":1421,"slug":1422,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},4302,"人工智能博览会","%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%8d%9a%e8%a7%88%e4%bc%9a",{"id":1424,"tenant_id":6,"name":1425,"slug":1426,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},5128,"人工智能展览会","%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%b1%95%e8%a7%88%e4%bc%9a",{"id":1428,"tenant_id":6,"name":1429,"slug":1430,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},6910,"深圳人工智能展","%e6%b7%b1%e5%9c%b3%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%b1%95",{"id":1432,"tenant_id":6,"name":1433,"slug":1434,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},16880,"粤港澳人工智能展会","%e7%b2%a4%e6%b8%af%e6%be%b3%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%b1%95%e4%bc%9a",34,"世亚智博会（人工智能展·机器人展·）","2026-09-30T09:01:57+08:00",{"id":1439,"tenant_id":6,"creator_id":7,"title":1440,"slug":1441,"content":1442,"content_json":12,"content_html":1442,"reading_time":7,"access_level":7,"excerpt":1440,"status":553,"content_type":554,"cover_image":1443,"published_at":1444,"scheduled_at":544,"author_id":737,"channel_id":544,"category_id":644,"tags":1445,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":15,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":1466,"like_count":7,"comment_count":7,"author_name":766,"created_at":1444,"updated_at":1378},73509,"2026上海国际光通信技术展览会|光纤光缆生产设备、光通信设备、光栅传感器展览会","73509","\u003Cstrong>2026上海国际光通信技术展览会|光纤光缆生产设备、光通信设备、光栅传感器展览会\u003C\u002Fstrong>\r\n\r\n\u003Cstrong>时间:2026年12月9~11日\u003C\u002Fstrong>\r\n\r\n\u003Cstrong>地点：上海新国际博览中心\u003C\u002Fstrong>\r\n\r\n \r\n\r\n\u003Cstrong>发展前景：\u003C\u002Fstrong>\r\n\r\n光通信是一种利用光信号作为信息载体的通信技术，它基于电通信技术发展而来。与传统电通信相比，光通信拥有多项显著优势，包括巨大的传输带宽、极低的传输损耗、较低的成本和高保真度。光通信系统作为一种信息基础设施其在全球范围内得到了广泛的开发和应用。光通信的核心在于使用光波作为载波，通过光纤作为传输介质，依靠光模块实现电光信号的转换，从而以光信号形式传输信息，具备信道带宽极宽、传输容量大、中继距离长和抗干扰能力强等多项优点。经过长期的发展，光通信凭借其卓越的性能，已经成为通信行业的主流通信方式，并广泛应用于数据中心、电信网络、光纤宽带等多个领域。\r\n\r\n光通信产业链上游主要为光模块核心部件，包括光芯片、光学元件及由各类光组件组成的光器件等，中游包括光模块、光纤光缆等，下游主要为光通信设备，应用场景主要有数据中心和电信等，广泛应用于人工智能、云计算、智能交通、安防监控等使用场景。受益于新一代信息技术的迅猛发展，全球数据流量呈现爆发式增长，光通信作为AI时代的算力基础和传输数据的高速通道，在下游需求快速扩张的形势下，光通信行业市场规模预计将保持稳步增长的状态。\r\n\r\n\u003Cstrong>详询主办方-张昊（同微）\u003C\u002Fstrong>\r\n\r\n\u003Cstrong>130（前三位）\u003C\u002Fstrong>\r\n\r\n\u003Cstrong>2313（中间四位）\u003C\u002Fstrong>\r\n\r\n\u003Cstrong>0305（后面四位）\u003C\u002Fstrong>\r\n\u003Cp class=\"ql-align-center\">\u003Cimg src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F7b66b1b3f4a54d5b874776493c5b0b89.png\" alt=\"文章配图-1\" width=\"640\" height=\"349\" \u002F>\u003C\u002Fp>\r\n当下，全球算力网络建设全面提速，人工智能、大数据、工业智造等领域的爆发式增长，促使光通信产业加快技术迭代与场景延伸，核心芯片、关键器件、高端装备的自主可控成为行业发展的核心命题，更成为我国光电产业跻身全球第一梯队的关键突破口。为了更好的推动光通信行业的发展，在得到国内外各大主管部门的大力支持下，2026上海国际光通信技术展览会暨会议将与2026年12月9-11日在上海新国际博览中心隆重举行，展会同期举办2026上海国际半导体展，共享数十万买家。本次大会将以“突出品牌、开拓创新、注重实效”的办展宗旨，凭借独特的创意，科学合理的整合传播和卓越的服务，以全新的理念为广大参展商提供一个“高水准、高品位、高质量”的展示交流舞台，期待您的参与。\r\n\u003Cp class=\"ql-align-center\">\u003Cimg src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F1f65b1ea7f5b446d9ae20ea23d626d26.png\" alt=\"文章配图-1\" width=\"640\" height=\"383\" \u002F>\u003C\u002Fp>\r\n\u003Cstrong>展出范围：\u003C\u002Fstrong>\r\n\r\n1、光通信芯片：芯片设计、芯片软件、晶圆、衬底、VCSEL芯片、可调激光器芯片、TEC芯片、FB和EML芯片、PIN与APD芯片、IC芯片、TIA、LDDriver、CDR芯片、高速调制器芯片、泵浦激光器芯片、PLC、AWG等；\r\n\r\n2、光组件：TOSA、ROSA、BOSA、OSA、二极管、隔离器组件、准直器组件、Demux、Mux、MT-FA、精密金属零件（管座、管帽、管壳）、透镜、滤波片、滤光片、光子集成器件、微波介质陶瓷等；\r\n\r\n3、光通信器件：光放大器、光泵浦激光器、光波分复用器、光波分解复用器、光分插复用器、光波导器件、光色散补偿器、光中继器、光衰减器、光纤连接器、光隔离器、光纤耦合器、光分支器、光环行器、波长转换器、陶瓷套管、陶瓷插芯等;\r\n\r\n4、光通信模块：光接收模块，光发送模块，光收发一体模块、光转发模块、相干模块、可插拔光模块、硅光模块、光分路器模块等；\r\n\r\n5、光通信传输设备：SDH光电传输设备、以太网设备、光连接设备、光宽带接入（EPON、GPON、NGPON)设备、OLT设备、GPONSBU设备、MDU设备、XGS-PON智能家庭网关设备、数据转接设备、光放大器、光复用器、光解复用器、光端机（SDH、多业务光端机等）、视音频光端机、光纤收发器、接口转换器、接口转换器、协议转换器、模式转换器、光纤通道卡、数字视频光端机等、ICT系统设备、IP以太网传输产品等；\r\n\u003Cp class=\"ql-align-center\">\u003Cimg src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F8dc89f2d80a940b8807144b5d1a93635.png\" alt=\"文章配图-1\" width=\"640\" height=\"330\" \u002F>\u003C\u002Fp>\r\n6、光通信数据中心设备：以太网交换机、ToR\u002FLeaf交换机、光储存器、光纤收发器、服务器、热插拔交流电源模块、服务器光纤网卡、通信系统、系统集成\u002F开发、系统维护及监控、综合布线系统、供配电系统、空调新风系统、消防与安防系统、数据中心整体解决方案、微模块数据中心等；\r\n\r\n7、广电通信设备：CATV传输、模拟光发组件、模拟光接收组件、激光泵浦源、模拟EDFA、YDFA、光接收前端调制解调器、光发射机、光接收机、光工作站、宽带接入设备等；\r\n\r\n8、无线通信：射频器件、射频模块、射频滤波器、射频功率放大器、射频开关、高频半导体、PCB高频覆铜板、微波介质陶瓷、EMC电磁屏蔽材料、MPI电路板、LCP材料、高频低介电损耗材料、移动终端设备、FSO设备、基站天线等；\r\n\r\n9、光纤材料：光纤预制棒、光纤研磨液、光纤抛光粉、光纤保护套管、热缩型端子、热缩中接端子、热缩中接管、热缩封帽、迷你封帽、热收缩套管等；\r\n\r\n10、光纤光缆\u002F光纤传感：单模光纤、多模光纤、塑料光纤、掺铒光纤、掺镜光纤、保偏光纤、抗辐照光纤、耐高温光纤、抗弯曲光纤、大芯经光纤、室内光缆、室外光缆、光纤电流互感器、光纤水听器、光纤陀螺仪、光纤周界安防系统、光纤液压传感器、分布式光纤温度传感系统、光纤气体传感器、光纤应力传感器、光栅传感器等；\r\n\r\n11、配线产品：光缆接续箱、光缆接头盒、光缆分纤箱、光缆交接箱、配线架、电缆桥架、光纤槽道等；\r\n\r\n12、电线电缆：同轴电缆、同轴线缆、射频电缆、数据电缆、双绞线、安防线缆、光电复合缆、通信电缆、布线线缆、信息传输线、控制线缆、防爆电缆、阻燃电缆等；\r\n\r\n13、线缆生产设备：光纤研磨设备、剥皮剪毛机、剥纤机、穿散件机、散件组装机、绕线扎线机、尾柄压接机、全自动Receptacle组装机、全自动贴标机、拉拨力测试机、高速着色机、线缆护套押出机、绞铜机、裁线机、束丝机；\r\n\r\n14、仪器仪表、激光\u002F探测器芯片测试系统、插损测试系统、光时域反射仪OTDR、PON光功率计、LIV测试系统、老化电源、椭偏仪、光谱仪、误码仪、眼图仪、光可变衰减器、光纤端面检测仪、耦合测试电源、可调直流电源、光功率计台式、手持光功率计、单\u002F双波长光源、DWDM光源、拉力测试机、仿真测试及设计软件等；\r\n\u003Cp class=\"ql-align-center\">\u003Cimg src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F389213d515db47de9f203e82a08865ee.png\" alt=\"文章配图-1\" width=\"640\" height=\"401\" \u002F>\u003C\u002Fp>\r\n\u003Cstrong>参展理由：\u003C\u002Fstrong>\r\n\r\n※规模优势，结识新经销商和买家：为参展商实际展出效果提供有力保障。本届展会预计到会观众将超过40000人次，采取强势的全球招商宣传模式，将整合历届展会的数据库，重点邀约光通信行业用户到会参观洽谈。\r\n\r\n※无缝对接，邀请国内外客商：在展馆内、地铁站、酒店均有广告指示牌，将涉及到此次展会领域的专业采购商直接引进我展会现场洽谈采购。\r\n\r\n※开拓市场，巩固已有的市场份额：一次参展全年享受线上、线下综合宣传，宣传范围涉及网站、杂志、报纸、手机报、微博、微信等新媒体方式，一次参展多重惊喜。紧跟最新市场发展动态，分享互动，特设一对一贸易配对会，诚邀来自线上线下的光通信行业用户采购负责人，观众来自全球30多个国家和地区，安排一对一的见面洽谈，提高您产品销售的绝佳途径。\r\n\r\n联系人：张 昊","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F7b66b1b3f4a54d5b874776493c5b0b89.png","2026-09-08T21:34:54+08:00",[1446,1450,1454,1458,1462],{"id":1447,"tenant_id":6,"name":1448,"slug":1449,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},5450,"新一代信息技术","%e6%96%b0%e4%b8%80%e4%bb%a3%e4%bf%a1%e6%81%af%e6%8a%80%e6%9c%af",{"id":1451,"tenant_id":6,"name":1452,"slug":1453,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},8208,"传感器展览会","%e4%bc%a0%e6%84%9f%e5%99%a8%e5%b1%95%e8%a7%88%e4%bc%9a",{"id":1455,"tenant_id":6,"name":1456,"slug":1457,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},16866,"2026上海国际光通信技术展览会|光纤光缆生产设备","2026%e4%b8%8a%e6%b5%b7%e5%9b%bd%e9%99%85%e5%85%89%e9%80%9a%e4%bf%a1%e6%8a%80%e6%9c%af%e5%b1%95%e8%a7%88%e4%bc%9a%e5%85%89%e7%ba%a4%e5%85%89%e7%bc%86%e7%94%9f%e4%ba%a7%e8%ae%be%e5%a4%87",{"id":1459,"tenant_id":6,"name":1460,"slug":1461,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},16867,"光通信设备","%e5%85%89%e9%80%9a%e4%bf%a1%e8%ae%be%e5%a4%87",{"id":1463,"tenant_id":6,"name":1464,"slug":1465,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},16868,"光栅传感器展览会","%e5%85%89%e6%a0%85%e4%bc%a0%e6%84%9f%e5%99%a8%e5%b1%95%e8%a7%88%e4%bc%9a",50,{"id":1468,"tenant_id":6,"creator_id":7,"title":1469,"slug":1470,"content":1471,"content_json":12,"content_html":1471,"reading_time":7,"access_level":7,"excerpt":12,"status":553,"content_type":554,"cover_image":1472,"published_at":1473,"scheduled_at":544,"author_id":1474,"channel_id":544,"category_id":853,"tags":1475,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":15,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":1495,"like_count":7,"comment_count":7,"author_name":1496,"created_at":1473,"updated_at":1497},72804,"赛逸展2027集新品首发+产业峰会+资本对接于一体","72804","\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">现代产业展会，早已不再只是简单的展台陈列，而是集多种产业服务于一身的综合枢纽。2027亚洲消费电子展（赛逸展）将于2027年6月26‑28日在北京亦创国际会展中心启幕，展会整合新品首发、产业峰会、供需配对、资本孵化多项功能，同期落地多场高水平技术研讨论坛，构建复合型产业服务平台。 \u003C\u002Fspan>\r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">新品首发板块，依托亚洲创新首发专区，供企业发布年度新产品、新技术方案，抢占行业传播窗口。企业既可在展位静态展示新品，也可以预约专属发布舞台，举办新品宣讲活动，面向采购商、媒体公开亮相，快速完成行业市场预热。\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FDSC03303-opq4695927911.jpg\" alt=\"DSC03303-opq4695927911\" width=\"1622\" height=\"1080\" \u002F> \u003C\u002Fspan>\r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">产业峰会板块按照赛道细分议题，分别围绕具身智能、AI算力液冷、低空经济、车载智能、数字健康等方向开设论坛。邀请产业专家、企业高管、园区代表分享行业趋势、技术路线、落地案例，参会人员可以借此把握赛道发展方向，了解政策导向、市场变化，为企业年度战略规划提供参考思路。论坛对外开放，参展企业可安排人员到场交流学习。 \u003C\u002Fspan>\r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">供需配对也就是展会核心商贸板块，依托展前预匹配系统，提前对接买卖双方需求，预约现场洽谈。同时开设跨境对接专场、渠道招商对接会，分别服务出海拓展、国内渠道布局两类需求，打通从产品展示走向商业订单的通路。 \u003C\u002Fspan>\r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">资本孵化板块聚焦科创企业融资需求，邀约5家国际财团以及本土创投机构驻场，开设资本闭门对接会。科创项目团队，可预约时段与投资合伙人面对面沟通，介绍项目规划，链接股权投资资源。闭门会场保障洽谈私密性，适配投融资深度磋商场景。\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FDSC03049-opq4695858656.jpg\" alt=\"DSC03049-opq4695858656\" width=\"1621\" height=\"1080\" \u002F> \u003C\u002Fspan>\r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">四大板块彼此联动，形成完整闭环。企业发布新品之后，可以在产业峰会交流行业思路，通过供需配对对接渠道订单，借助资本对接补充发展资金。一场参展，同步完成新品亮相、趋势学习、商贸洽谈、资本链接。赛逸展跳出单一展示思维，致力于打造一站式科创产业服务平台。 \u003C\u002Fspan>\r\n\r\n\u003Cspan class=\"\" data-slashplaceholder=\"输入关键词\" data-type=\"string-token\" aria-label=\"正文块内容区,undefined,文本\" data-block-type=\"\">决策者在此集结，首发者在此登顶——赛逸展，科技商业的决胜场。 Where decision‑makers convene, and pioneers prevail — CES Asia , the decisive arena for tech business\u003C\u002Fspan>","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FDSC03303-opq4695927911.jpg","2026-09-07T20:10:25+08:00",8188385,[1476,1480,1484,1488,1492],{"id":1477,"tenant_id":6,"name":1478,"slug":1479,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},694,"消费电子展","%e6%b6%88%e8%b4%b9%e7%94%b5%e5%ad%90%e5%b1%95",{"id":1481,"tenant_id":6,"name":1482,"slug":1483,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},5923,"具身智能","%e5%85%b7%e8%ba%ab%e6%99%ba%e8%83%bd",{"id":1485,"tenant_id":6,"name":1486,"slug":1487,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},12711,"亚洲消费电子展","%e4%ba%9a%e6%b4%b2%e6%b6%88%e8%b4%b9%e7%94%b5%e5%ad%90%e5%b1%95",{"id":1489,"tenant_id":6,"name":1490,"slug":1491,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},13208,"2027亚洲消费电子展","2027%e4%ba%9a%e6%b4%b2%e6%b6%88%e8%b4%b9%e7%94%b5%e5%ad%90%e5%b1%95",{"id":1493,"tenant_id":6,"name":846,"slug":1494,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},15614,"2027%e4%ba%9a%e6%b4%b2%e6%b6%88%e8%b4%b9%e7%94%b5%e5%ad%90%e5%b1%95%ef%bc%88%e8%b5%9b%e9%80%b8%e5%b1%95%ef%bc%89",24,"报名咨询13673929297微信同号","2026-09-30T09:02:02+08:00",{"id":1499,"tenant_id":6,"creator_id":7,"title":1500,"slug":1501,"content":1502,"content_json":12,"content_html":1502,"reading_time":7,"access_level":7,"excerpt":1503,"status":553,"content_type":554,"cover_image":1504,"published_at":1505,"scheduled_at":544,"author_id":1413,"channel_id":544,"category_id":853,"tags":1506,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":15,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":1531,"like_count":7,"comment_count":7,"author_name":1436,"created_at":1505,"updated_at":1532},72801,"开春产业热潮涌动“2027京津冀机器人产业链展会”3月在京启幕","72801","\u003Cp class=\"ql-align-center\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F568eb70daff3494f83d17d8e06864325.jpg\" alt=\"文章配图-1\" width=\"640\" height=\"314\" \u002F>\u003C\u002Fp>\r\n春启三月，万物勃发，正值各行各业复工复产、抢抓产业发展新机的关键节点，京津冀智能装备与人工智能产业迎来开年首场重磅行业盛会。3月18日至20日，备受行业关注的\u003Cstrong>\u003Cspan class=\"nqh-mark\" data-ai-assistant-element=\"news-mark\" data-nqh-marked=\"\">人形机器人与具身智能产业\u003C\u002Fspan>展会\u003C\u002Fstrong>在中国国际展览中心（朝阳馆）盛大举办。本次展会深耕人形机器人、具身智能热门核心赛道，紧扣当下人工智能赋能实体制造的产业发展浪潮，汇聚全国范围内全产业链优质龙头企业、科创企业及配套服务商，打造集前沿技术展示、创新成果交流、精准资源对接、深度产业合作于一体的专业化、垂直化行业平台，有效激活京津冀智能机器人产业发展活力，为区域智能制造高质量、跨越式发展注入全新动能。\r\n\u003Cp class=\"ql-align-center\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F697458d68f88442aab2a42bf6d4e4387.png\" alt=\"文章配图-2\" width=\"640\" height=\"373\" \u002F>\u003C\u002Fp>\r\n作为2026年开春京津冀地区规模大、专业性强、影响力广的机器人专项产业展会，本次活动精准聚焦人形机器人、具身智能两大前沿核心领域，针对性打破行业信息差、产业沟通壁垒以及上下游对接不畅等行业痛点。展会版图全面覆盖人形机器人与具身智能完整上下游产业链生态，参展主体类型丰富、覆盖全面，集结了行业头部整机设备厂商、高精尖核心零部件研发生产企业、专业AI智能算法研发服务商、多行业场景应用解决方案提供商等全链条企业。现场完整呈现从底层核心技术研发、关键零部件配套生产、人形机器人整机设备智造，到工业、民生、商业、特种场景落地应用的全闭环产业生态，全方位、多角度展示当下人形机器人与具身智能行业的最新技术突破、创新迭代产品、成熟落地项目以及未来研发方向，为行业搭建了完整的产业观摩与学习渠道。\r\n\u003Cp class=\"ql-align-center\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F1e5271a349664268bfe2e945604ba3b8.png\" alt=\"文章配图-3\" width=\"640\" height=\"373\" \u002F>\u003C\u002Fp>\r\n近年来，京津冀地区依托得天独厚的产业基础、高端人才储备、核心技术集聚以及政策扶持优势，持续加快高端装备制造与人工智能产业转型升级步伐。人形机器人与具身智能作为人工智能、精密制造、自动化技术深度融合的核心新兴赛道，是未来智能制造产业的核心发展方向，也是京津冀区域产业结构优化、新旧动能转换的重要发力点。本次展会的顺利举办，进一步集中整合了区域优质产业资源、技术资源与市场资源，有效串联起京津冀三地研发、生产、应用、销售全环节，夯实了区域机器人产业集群化、规模化发展的坚实基础，推动产业链上下游企业抱团发展、协同创新、优势互补，助力区域智能装备产业形成完整、高效、强劲的产业生态体系。\r\n\u003Cp class=\"ql-align-center\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Ff7d184370040419c839b7bb9a3e904cd.png\" alt=\"文章配图-5\" width=\"640\" height=\"373\" \u002F>\u003C\u002Fp>\r\n\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F4ef01ada978d406a9c44a9b28c8797bf.jpg\" alt=\"文章配图-4\" width=\"640\" height=\"360\" \u002F>","春启三月，万物勃发，正值各行各业复工复产、抢抓产业发展新机的关键节点，京津冀智能装备与人工智能产业迎来开年首场重磅行业盛会。3月18日至20日，备受行业关注的人形机器人与具身智能产业展会在中国国际展览中心（朝阳馆）盛大举办。本次展会深耕人形机器人、具身智能热门核心赛道，紧扣当下人工智能赋能实体制造的产业发展浪潮，汇聚全国范围内全产业链优质龙头企业、科创企业及配套服务商，打造集前沿技术展示、创新成果交流、精准资源对接、深度产业合作于一体的专业化、垂直化行业平台，有效激活京津冀智能机器人产业发展活力，为区域智能制造高质量、跨越式发展注入全新动能。","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F0-3.png","2026-09-07T20:10:24+08:00",[1507,1511,1515,1519,1523,1527],{"id":1508,"tenant_id":6,"name":1509,"slug":1510,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},3565,"机器人展","%e6%9c%ba%e5%99%a8%e4%ba%ba%e5%b1%95",{"id":1512,"tenant_id":6,"name":1513,"slug":1514,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7154,"人形机器人展会","%e4%ba%ba%e5%bd%a2%e6%9c%ba%e5%99%a8%e4%ba%ba%e5%b1%95%e4%bc%9a",{"id":1516,"tenant_id":6,"name":1517,"slug":1518,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},9809,"北京机器人展","%e5%8c%97%e4%ba%ac%e6%9c%ba%e5%99%a8%e4%ba%ba%e5%b1%95",{"id":1520,"tenant_id":6,"name":1521,"slug":1522,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},10938,"北京机器人展览会","%e5%8c%97%e4%ba%ac%e6%9c%ba%e5%99%a8%e4%ba%ba%e5%b1%95%e8%a7%88%e4%bc%9a",{"id":1524,"tenant_id":6,"name":1525,"slug":1526,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},15015,"北京人形机器人展","%e5%8c%97%e4%ba%ac%e4%ba%ba%e5%bd%a2%e6%9c%ba%e5%99%a8%e4%ba%ba%e5%b1%95",{"id":1528,"tenant_id":6,"name":1529,"slug":1530,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},16655,"北京人工智能展会","%e5%8c%97%e4%ba%ac%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%b1%95%e4%bc%9a",27,"2026-09-30T09:02:03+08:00",{"id":1534,"tenant_id":6,"creator_id":7,"title":1535,"slug":1536,"content":1537,"content_json":12,"content_html":1537,"reading_time":7,"access_level":7,"excerpt":12,"status":553,"content_type":554,"cover_image":1538,"published_at":1539,"scheduled_at":544,"author_id":1540,"channel_id":544,"category_id":853,"tags":1541,"version":14,"schema":12,"seo_title":12,"seo_description":12,"seo_keywords":12,"is_pinned":15,"is_featured":17,"is_pick":17,"is_slide":17,"view_count":465,"like_count":7,"comment_count":7,"author_name":1559,"created_at":1539,"updated_at":1437},72955,"AI 算力爆发，液冷成数据中心刚需｜2026高交会亚洲 AI 算力展招商启动|深圳液冷展会","72955","\u003Cp data-track=\"38\" data-pm-slice=\"0 0 []\">\u003Cstrong>2026年第28届高交会暨亚洲AI算力产业与数据中心液冷技术展\u003C\u002Fstrong>\u003C\u002Fp>\r\n\u003Cp data-track=\"39\">\u003Cstrong>时间：2026年11月26-28日\u003C\u002Fstrong>\u003C\u002Fp>\r\n\u003Cp data-track=\"40\">\u003Cstrong>地址：深圳国际会展中心（新馆）\u003C\u002Fstrong>\u003C\u002Fp>\r\n\u003Cp data-track=\"41\">\u003Cstrong>组织机构：主办单位：深圳市人民政府\u003C\u002Fstrong>\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"pgc-img\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fget-62.jpg\" data-ic=\"true\" data-width=\"1280\" data-height=\"720\" data-ic-uri=\"\" \u002F>\u003C\u002Fdiv>\r\n\u003Cp data-track=\"43\">随着 AI 模型参数规模持续扩大，单集群算力需求不断被推高，传统风冷架构在能耗、散热效率、部署密度和长期运维成本等方面逐渐显现瓶颈。尤其是在高密度 GPU 集群、超大规模训练中心、智算中心和边缘数据中心场景中，液冷技术正在成为提升算力密度、降低 PUE、稳定运行温度和释放芯片性能的关键路径。\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"pgc-img\">\u003C\u002Fdiv>\r\n\u003Cp data-track=\"45\">作为 “中国科技第一展”—— 第二十八届高交会的核心专题展之一，亚洲 AI 算力产业与数据中心液冷技术展将于 2026 年 11 月 26-28 日在深圳国际会展中心（宝安）盛大举办。展会将聚焦 AI 算力、数据中心、液冷技术、服务器、芯片、散热材料、能源基础设施和智能运维等方向，为产学研用各方搭建技术展示、商贸对接、品牌传播和产业合作的重要平台。\u003C\u002Fp>\r\n\r\n\u003Cdiv class=\"pgc-img\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fget-63.jpg\" data-ic=\"true\" data-width=\"1280\" data-height=\"717\" data-ic-uri=\"\" \u002F>\u003C\u002Fdiv>\r\n\u003Cp data-track=\"47\">本届专题展期待吸引算力芯片、AI 服务器、液冷系统、数据中心建设、制冷设备、新材料、能源管理、运维服务等领域企业参展，共同探讨 AI 时代算力基础设施的技术路线与商业机遇。\u003C\u002Fp>\r\n\u003Cp data-track=\"47\">\u003Cimg class=\"aligncenter\" src=\"https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002F1726046258009.png\" alt=\"1726046258009\" width=\"1280\" height=\"330\" \u002F>\u003C\u002Fp>\r\n ","https:\u002F\u002Fnews.softunis.com\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002Fget-62.jpg","2026-09-07T15:48:26+08:00",8188351,[1542,1546,1550,1554,1555],{"id":1543,"tenant_id":6,"name":1544,"slug":1545,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},6916,"数据中心","%e6%95%b0%e6%8d%ae%e4%b8%ad%e5%bf%83",{"id":1547,"tenant_id":6,"name":1548,"slug":1549,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},7813,"算力基础设施","%e7%ae%97%e5%8a%9b%e5%9f%ba%e7%a1%80%e8%ae%be%e6%96%bd",{"id":1551,"tenant_id":6,"name":1552,"slug":1553,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},12039,"商贸对接","%e5%95%86%e8%b4%b8%e5%af%b9%e6%8e%a5",{"id":1373,"tenant_id":6,"name":1374,"slug":1375,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},{"id":1556,"tenant_id":6,"name":1557,"slug":1558,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":7},13339,"数据中心液冷技术展","%e6%95%b0%e6%8d%ae%e4%b8%ad%e5%bf%83%e6%b6%b2%e5%86%b7%e6%8a%80%e6%9c%af%e5%b1%95","闲谈会展",[1561,1566,1571,1576,1581,1586,1591,1596,1600,1605,1610,1615],{"id":1562,"tenant_id":6,"name":1563,"slug":1564,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1565},179,"产业链","%e4%ba%a7%e4%b8%9a%e9%93%be",2380,{"id":1567,"tenant_id":6,"name":1568,"slug":1569,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1570},213,"智能化","%e6%99%ba%e8%83%bd%e5%8c%96",2260,{"id":1572,"tenant_id":6,"name":1573,"slug":1574,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1575},1141,"展览会","%e5%b1%95%e8%a7%88%e4%bc%9a",2151,{"id":1577,"tenant_id":6,"name":1578,"slug":1579,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1580},4009,"展会","%e5%b1%95%e4%bc%9a",1988,{"id":1582,"tenant_id":6,"name":1583,"slug":1584,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1585},1384,"技术创新","%e6%8a%80%e6%9c%af%e5%88%9b%e6%96%b0",1342,{"id":1587,"tenant_id":6,"name":1588,"slug":1589,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1590},1945,"自动化","%e8%87%aa%e5%8a%a8%e5%8c%96",1267,{"id":1592,"tenant_id":6,"name":1593,"slug":1594,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1595},10310,"全产业链","%e5%85%a8%e4%ba%a7%e4%b8%9a%e9%93%be",1032,{"id":1597,"tenant_id":6,"name":105,"slug":1598,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1599},1890,"%e5%a4%a7%e6%a8%a1%e5%9e%8b",980,{"id":1601,"tenant_id":6,"name":1602,"slug":1603,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1604},15137,"AI头条","ai%e5%a4%b4%e6%9d%a1",930,{"id":1606,"tenant_id":6,"name":1607,"slug":1608,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1609},2149,"新能源","%e6%96%b0%e8%83%bd%e6%ba%90",883,{"id":1611,"tenant_id":6,"name":1612,"slug":1613,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1614},1364,"AI技术","1364",866,{"id":1616,"tenant_id":6,"name":1617,"slug":1618,"channel_id":544,"seo_title":12,"seo_description":12,"seo_keywords":12,"article_count":1619},2453,"互联网","%e4%ba%92%e8%81%94%e7%bd%91",831]