人民财讯1月13日电，工信部印发《推动工业互联网平台高质量发展行动方案(2026—2028年)》，其中 提出，到2028年，工业互联网平台高质量发展取得积极成效，"专业型+行业型+协作型"多层次平台体 系持续壮大，具有一定影响力的平台超450家；平台的要素资源连接能力大幅增强，重点平台的数据增 值、模型沉淀和人工智能开发应用能力显著提升，工业设备连接数突破1.2亿台(套)；平台普及率达到 55%以上，基本建成泛在互联、数智融合、深度协同、开源开放的新一代工业互联网平台生态。 ...

工业和信息化部印发《推动工业互联网平台高质量发展行动方案（2026—2028年）》。到2028年，工业 互联网平台高质量发展取得积极成效，"专业型+行业型+协作型"多层次平台体系持续壮大，具有一定 影响力的平台超450家；平台的要素资源连接能力大幅增强，重点平台的数据增值、模型沉淀和人工智 能开发应用能力显著提升，工业设备连接数突破1.2亿台（套）；平台普及率达到55%以上，基本建成 泛在互联、数智融合、深度协同、开源开放的新一代工业互联网平台生态。 市场有风险，投资需谨慎。本文不构成个人投资建议，也未考虑到个别用户特殊的投资目标、财务状况或需要。用户应考虑本文中的任何 意见、观点或结论是否符合其特定状况。据此投资，责任自负。 风险提示及免责条款 ...

Core Insights - The "Beijing-Tianjin-Hebei Collaborative Innovation Index (2026)" was released to monitor and evaluate the collaborative innovation development in the region, showing significant growth from 100 in 2013 to 388 in 2024, with an average annual growth rate of 13.1% [1] Group 1: Innovation Index Growth - The index measures collaborative innovation across five dimensions: innovation capability, research cooperation, technology connections, innovation performance, and innovation environment [1] - Beijing's collaborative innovation index saw the largest increase, growing from 657.7 to 1198.4 from 2013 to 2024, indicating strong radiative power [1] Group 2: Regional Performance - Tianjin's collaborative innovation index increased by 14.7% in 2024 compared to 2023, while Hebei maintained a steady growth rate of 13.1% [2] - The gap in innovation indices between Beijing and Hebei has narrowed, while the gap between Beijing and Tianjin has widened [2] Group 3: Industry Collaboration - The three regions have formed a new development pattern characterized by mutual benefits and complementary advantages, leading to breakthroughs in industries, transportation, and environmental sectors [2] - Beijing leads in hydrogen and biomedicine, Tianjin in high-end industrial mother machines and cybersecurity, and Hebei in new energy and intelligent connected vehicles [2] Group 4: Technological Innovation - The technology innovation network in the region is primarily led by Beijing, which accounted for 40.9% of patent cooperation in 2024 [3] - The total value of technology contracts in the region reached 1.3 trillion yuan, representing nearly 20% of the national total [3] Group 5: Innovation Environment - The development of the "Beijing-Tianjin-Hebei on Tracks" initiative has facilitated smoother flow of innovation elements, supported by a combination of policies for high-quality innovation and entrepreneurship [3] - A total of 13 innovation platforms have been established across the three regions, accelerating the incubation and transformation of innovative results [3] Group 6: Future Development Strategies - Strengthening international technological capabilities and building a collaborative innovation network centered around leading technology enterprises is crucial for future development [4] - The strategy includes enhancing original and disruptive technological innovations and fostering a collaborative innovation community in the Beijing-Tianjin-Hebei region [4][5]

以AI之"智"，铸制造之"质"。"十五五"开局之年，上海率先落子。1月8日至10日，在上海市经济和信息 化委员会、上海市静安区人民政府指导下，上海市工业互联网协会主办的2026"工赋上海"创新大会 集"前沿思想、成果发布、智创展演"于一体，推动供给侧、需求侧及生态侧的高效联动。一张"AI+制 造"生态图就此铺开，助力绘就新型工业化的美好未来。 ◎记者 宋薇萍 "工赋上海"行动升级 M Hubws - 4 图层 2026工赋上海创新大会 2026 | 浏览 工程上海创新大会 2026 r and more and and and operation works and and and the mail 电视版学 ARREND LANDY ARRETT ARR FO - 1 te ra NEW comments of the first of a come and an and the are a vi and a consisted and a proposition will finance e A 1 2026 Mazin 上海市工业车 | 阿拉合 | 工赋® 工进上海创新大会 ● a ● 用数字大脑点燃制 ...

记者7日从工业和信息化部获悉，工业和信息化部印发《工业互 联网和人工智能融合赋能行动方案》（以下简称《方案》），推动工 业互联网与人工智能融合赋能水平提升。 基础底座升级行动方面，支持工业企业推动工业网络控网算一体化演 进和能力升级，推进重点行业开展新型工业网络改造等。数据模型互 通行动方面，加强工业数据汇聚共享；建立全国工业数据目录，推动 多源异构工业数据联通共享等。应用模式焕新行动方面，鼓励工业企 业加快平台化设计、智能化生产、个性化定制等应用模式变革等。产 业生态融通行动方面，鼓励工业互联网企业、人工智能企业等加快打 造一批具备智能系统集成能力的解决方案等。（记者 崔爽） 《方案》部署实施4项行动，推动工业互联网和人工智能在更广范 围、更深程度、更高水平上释放融合赋能效应。 《方案》提出，到2028年，满足人工智能工业应用高通量、低时 延、高可靠通信需求的新型工业网络规模持续扩大，在原材料、装备 制造、消费品、电子信息等重点行业工业企业加快部署应用，推动不 少于5万家企业实施新型工业网络改造升级；工业数据汇聚、治理、 流通、共享体系不断完善，在20个重点行业打造一批高质量数据 集。 ...

近日，工信部公示2025年跨行业跨领域工业互联网平台动态评价结果，卡奥斯位居第一，蝉联最高的"A级"评价。该公司已连续七年稳居榜首，技术创新能 力、赋能应用成果及行业影响力获得权威认可。 | 首页 | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | | 组织机构 | | | | | | | | | 新闻发布 | | | | | | | | | 政务公开 | | | | | | | | | 政务服务 | | | | | | | | | 互动交流 | | | | | | | | | 工信 | 工信部网站截图 "双跨"平台是我国工业互联网领域的标杆力量，也是推动数字经济与实体经济深度融合的核心引擎。基于大规模个性化定制的模式创新，卡奥斯COSMOPlat 持续推动AI+工业互联网科技创新与赋能实践，不仅牵头建设行业唯一的大规模个性化定制全国重点实验室，还获批承建工业大脑—国家新一代人工智能开 放创新平台及国家级工业操作系统项目，为践行和发展新质生产力提供了支撑。 在科技创新方面，卡奥斯COSMOPlat持续推动"人工智能+制造"的技术创新和场景应用 ...

Core Viewpoint - The Ministry of Industry and Information Technology has issued the "Action Plan for the Integration of Industrial Internet and Artificial Intelligence," aiming to deepen the application of AI in industrial internet and promote new industrialization, contributing to the construction of a manufacturing and network power [1] Group 1: Integration Empowerment Level Enhancement - AI is being applied in production and manufacturing with unprecedented depth and breadth, while industrial internet serves as a crucial infrastructure for new industrialization, entering a new stage of high-quality development and large-scale promotion [2] - By 2028, the integration empowerment level of industrial internet and AI is expected to significantly improve, focusing on infrastructure, element support, integration applications, and industrial ecology [2] Group 2: Key Actions - The action plan includes four major actions: upgrading the foundational base, ensuring data model interoperability, renewing application models, and promoting industrial ecology [4] - The foundational base upgrade action aims to enhance facility efficiency and support the intelligent upgrade of industrial networks, with a target of transforming at least 50,000 enterprises [4] - The data model interoperability action focuses on improving industrial data sharing and establishing a national industrial data directory [4] - The application model renewal action encourages industrial enterprises to adopt platform-based design, intelligent production, and digital management [5] - The industrial ecology promotion action emphasizes the cultivation of key enterprises and encourages the development of intelligent system integration capabilities [5] Group 3: Policy and Financial Support - The action plan outlines measures for policy, financial, and talent support to ensure the integration of industrial internet and AI [7] - It emphasizes the need for coordinated efforts and encourages local governments to formulate supportive measures tailored to their specific circumstances [7] - Financial support mechanisms are to be diversified, with local governments encouraged to establish special funds [7] Group 4: Talent Development - The plan calls for optimizing academic and professional layouts and promoting the establishment of practical centers for industry-education integration [8] - It includes training and evaluation for new professions such as industrial internet engineering technicians and AI trainers [8]

Core Viewpoint - The integration of industrial internet and artificial intelligence is being promoted through a new action plan by the Ministry of Industry and Information Technology, aiming to enhance the capabilities of both sectors and support the development of a strong manufacturing and digital nation [2][3]. Infrastructure - The new industrial network will expand to meet the high throughput, low latency, high reliability, and low jitter communication needs of AI applications, with a target of upgrading not less than 50,000 enterprises in key industries such as raw materials, equipment manufacturing, consumer goods, and electronic information by 2028 [3]. Element Support - A comprehensive system for the aggregation, governance, circulation, and sharing of industrial data will be established, with high-quality datasets being developed in 20 key industries [3]. Fusion Applications - The plan aims to cultivate a number of intelligent solution providers targeting key links and typical scenarios in important industrial chains, effectively promoting the collaborative upgrade of small, medium, and large enterprises [3]. Industrial Ecosystem - Efficient allocation of resources such as key enterprises, technology products, and public services will be emphasized to enhance the industrial ecosystem [4]. Key Actions - The action plan includes four major initiatives: upgrading the foundational infrastructure, ensuring data model interoperability, renewing application models, and enhancing industrial ecosystem connectivity [5]. Infrastructure Upgrade - The focus will be on enhancing facility efficiency through the upgrade of industrial networks, supporting enterprises in the evolution and capability enhancement of integrated network computing [5]. Data Model Interoperability - Efforts will be made to strengthen the sharing of industrial data, establish a national industrial data directory, and promote the secure circulation of multi-source heterogeneous industrial data [6]. Application Model Renewal - The plan encourages enterprises to accelerate the transformation of application models, including platform design, intelligent production, personalized customization, and digital management [6]. Industrial Ecosystem Connectivity - The initiative aims to foster the development of intelligent system integration capabilities among industrial internet and AI enterprises, encouraging leading companies to incubate industry-level intelligent solution providers [6]. Policy and Financial Support - The Ministry of Industry and Information Technology has revealed that over 20,000 "5G + industrial internet" projects have been initiated, marking a new phase of large-scale application [7]. - The action plan outlines measures for policy, financial, and talent support to ensure the effective integration of industrial internet and AI [7][8]. Talent Development - The plan includes optimizing academic and professional layouts, promoting the establishment of practical centers for industry-education integration, and conducting training for new professions such as industrial internet engineers and AI trainers [8].

山西省运城市临猗县的一家智能科技公司生产车间内，工人在检测智能机器人产品性能。常 奇摄（人 民视觉） 工业和信息化部近日印发《工业互联网和人工智能融合赋能行动方案》（以下简称《行动方案》），深 化人工智能与工业互联网融合应用，一体推进新型工业化，助力制造强国与网络强国建设。 提升融合赋能水平 工业和信息化部有关负责人表示，作为引领新一轮科技革命和产业变革的战略性技术，人工智能正以前 所未有的深度和广度应用于生产制造领域，工业互联网作为推进新型工业化的重要基础设施，已迈入到 高质量发展、规模化推广的新阶段，为人工智能提供互联通道、数据资源、平台中枢。同时，人工智能 自生成、自决策、自组织等新特征，助力工业互联网设施升级、能力优化、服务创新，两者互促共进、 融合赋能，将进一步加快产业模式和企业组织形态变革。 《行动方案》围绕基础设施、要素支撑、融合应用、产业生态4个方面，提出到2028年工业互联网和人 工智能融合赋能水平实现显著提升。 基础设施方面，满足人工智能工业应用高通量、低时延、高可靠、低抖动通信需求的新型工业网络规模 持续扩大，在原材料、装备制造、消费品、电子信息等重点行业工业企业加快部署应用，推动不少于 ...

Core Viewpoint - The article discusses the implementation of the "Data Element ×" three-year action plan (2024-2026) aimed at accelerating the development and utilization of data across various industries, highlighting the selection of typical cases to showcase advancements in data value release and utilization [1] Group 1: Company Overview - Guotou Integration (Huangshi) Technology Co., Ltd. is an industrial internet platform service provider located in Huangshi City, focusing on digital transformation for manufacturing enterprises [2] - The company operates under the core philosophy of "data empowering manufacturing, releasing multiplier effects" [2] Group 2: Challenges in Manufacturing - Manufacturing enterprises face common challenges during their digital and intelligent transformation, including fragmented data systems and low production and management efficiency [4] - Traditional production management relies on manual experience, hindering precise resource allocation and real-time insights, which restricts cost reduction and quality improvement [4] Group 3: Key Practices - A multi-source data fusion base was constructed to eliminate information silos, integrating data from various systems and devices to form a unified data map [6] - A modular service platform was developed to provide flexible adaptation for production planning, intelligent warehousing, equipment monitoring, and quality management [6] - An intelligent analysis decision engine was deployed, integrating big data and AI technologies to support data-driven decision-making [6] - A comprehensive data governance and security system was established to ensure compliance, safety, and reliability throughout the data lifecycle [7] Group 4: Application Results - The platform's solutions have been successfully applied in multiple industries, serving over 300 enterprises [8] - Participating companies have reported over 20% improvement in production efficiency and over 20% reduction in operational costs [8] - The platform has created a new model for digital transformation characterized by "data-driven, modular decoupling, and ecological collaboration," providing replicable and scalable solutions for the manufacturing sector [8]