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以“AI+制造”为抓手 上海寻找下一个十年增长动力
Shang Hai Zheng Quan Bao· 2026-01-11 18:51
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 ...
推动企业实施新型工业网络改造升级
Ke Ji Ri Bao· 2026-01-09 08:35
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。 ...
蝉联最高A级评价 卡奥斯连续七年位居国家级双跨平台动态评价结果首位
Zheng Quan Ri Bao· 2026-01-09 05:16
Core Viewpoint - The Ministry of Industry and Information Technology (MIIT) has announced the dynamic evaluation results for industrial internet platforms for 2025, with Kaos ranking first and maintaining the highest "A" rating for seven consecutive years, recognized for its technological innovation, application results, and industry influence [1][6]. Group 1: Company Achievements - Kaos IoT Technology Co., Ltd. has been awarded the highest "A" rating for its COSMOPlat industrial internet platform, leading the evaluation results [4]. - The platform has been recognized for its contributions to AI and industrial internet technology innovation, including the establishment of a national key laboratory for large-scale personalized customization [6][7]. - Kaos has developed multiple industry-specific large models, such as the Tianzhi model for petrochemicals and energy carbon, which have led to significant cost reductions in various sectors [7]. Group 2: Industry Impact - The COSMOPlat platform has empowered various industries, including home appliances, automotive, and chemical sectors, and has participated in the creation of 16 global lighthouse factories, with a brand value of 116.335 billion yuan [7]. - The platform has introduced an industrial internet city empowerment model, which has been implemented in several cities across China, enhancing local digital economies [7]. - Kaos has played a significant role in the development of international standards, leading to the establishment of 17 international standards and 102 national and industry standards, positioning itself as a leader in the field [8]. Group 3: Future Directions - Looking ahead, Kaos aims to focus on scenario-based applications and deepen industry engagement, facilitating the transition of manufacturing enterprises from technology application to model innovation, thereby supporting high-quality and sustainable economic development [8].
锐财经|工业互联网“牵手”人工智能
Ren Min Ri Bao Hai Wai Ban· 2026-01-09 01:27
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]
工业互联网“牵手”人工智能
Ren Min Ri Bao Hai Wai Ban· 2026-01-09 01:21
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].
工业互联网“牵手”人工智能(锐财经)
Ren Min Ri Bao Hai Wai Ban· 2026-01-08 22:43
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 integration of AI with industrial internet applications to promote new industrialization and support the construction of a manufacturing and network power [3][5]. Group 1: Integration and Development - Artificial intelligence 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 [3][5]. - The Action Plan aims to significantly enhance the integration and empowerment level of industrial internet and AI by 2028, focusing on infrastructure, element support, integration applications, and industrial ecology [3][4]. Group 2: Infrastructure and Element Support - The new industrial network will expand to meet the high throughput, low latency, high reliability, and low jitter communication needs of AI industrial applications, with plans to implement network upgrades in no less than 50,000 enterprises across key industries [3][6]. - A comprehensive system for the aggregation, governance, circulation, and sharing of industrial data will be established, creating high-quality datasets in 20 key industries [3][6]. Group 3: Action Initiatives - The Action Plan includes four major actions: upgrading the foundational base, ensuring data model interoperability, renewing application models, and promoting industrial ecosystem integration [5][6]. - The plan encourages industrial enterprises to accelerate platform design, intelligent production, personalized customization, and digital management to enhance the intelligence level in various operational stages [6][7]. Group 4: Policy and Financial Support - The Ministry emphasizes the need for coordinated policies, financial support, and talent cultivation to ensure the successful integration of industrial internet and AI [7][8]. - There are over 20,000 "5G + Industrial Internet" construction projects in China, with more than 300 influential industrial internet platforms, indicating a shift towards large-scale application [7].
黄石市“数据要素×”优秀项目案例集之二 | “双跨”平台赋能工业数字化转型
Sou Hu Cai Jing· 2026-01-08 20:43
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]
到2028年至少5万家企业实施新型工业网络升级
Qi Lu Wan Bao· 2026-01-08 11:11
记者7日获悉,工业和信息化部办公厅日前印发《工业互联网和人工智能融合赋能行动方案》,提出到2028 年,工业互联网与人工智能融合赋能水平显著提升,推动不少于50000家企业实施新型工业网络改造升级, 在20个重点行业打造一批高质量数据集,培育一批智能化解决方案供应商。 新华 ...
长虹工业互联网“双跨平台”:三年深耕不忘初心,双轮驱动巩固引领
和讯· 2026-01-08 09:36
Core Viewpoint - The "Changhong Dual-Cross Platform" has significantly improved its ranking in the 2025 cross-industry industrial internet platform evaluation, marking a historical high for Sichuan Province in this field, and solidifying Mianyang's leading position in the province's industrial internet landscape [1][2]. Group 1: Platform Development and Achievements - The platform has risen 17 positions since being selected as a national-level "dual-cross" platform in 2023, achieving a total increase of 6 positions recently, ranking third nationally and first in the western region [1]. - The platform is built on over 60 years of manufacturing experience, emphasizing its unique advantage in empowering industries through a deep understanding of manufacturing [1]. - It has established a service matrix that integrates "intelligent, green, and integrated" services, driving deep transformation in the manufacturing sector [1]. Group 2: Technological Integration and Industry Impact - The platform utilizes a data-driven approach to connect devices, systems, and enterprises, creating a collaborative system across the entire value chain, which enhances production efficiency and resource allocation [2][9]. - It has developed an intelligent empowerment system that spans eight major industries and nine fields, serving over 3,000 enterprises to facilitate their digital transformation and improve efficiency [9]. Group 3: Value Service System and Solutions - The platform adopts a "1+4+N" architecture, focusing on five major value service systems to address core pain points for enterprises, providing clear transformation blueprints and reducing decision-making risks [10]. - It aims to lower the barriers for small and medium-sized enterprises to start their digital transformation through lightweight and modular solutions [10]. - The platform emphasizes the activation of data potential across eight value links, facilitating a dynamic data exchange system that enhances production efficiency by 10% and inventory turnover by 30% for upstream enterprises [12]. Group 4: Future Directions and Strategic Goals - The "Changhong Dual-Cross Platform" plans to evolve into an ecological organizer, focusing on upgrading from "scale" to "value" and serving as the core engine for Changhong Group's digital transformation [17]. - The platform aims to transform validated best practices into replicable solutions, ultimately becoming a digital model that empowers various industries rooted in Chinese manufacturing [17].
(图表)我国提出到2028年推动不少于5万家企业实施新型工业网络改造升级
Sou Hu Cai Jing· 2026-01-08 09:16
新华社发 木锦 制图 新华社图表,北京,2026年1月7日 记者1月7日获悉,工业和信息化部办公厅日前印发《工业互联网和人工智能融合赋能行动方案》,提出 到2028年,工业互联网与人工智能融合赋能水平显著提升,推动不少于50000家企业实施新型工业网络 改造升级,在20个重点行业打造一批高质量数据集,培育一批智能化解决方案供应商。 我国提出到2028年 推动不少于5万家企业 实施新型工业网络改造升级 工业和信息化部办公厅日前印发 《工业互联网和人工智能 融合赋能行动方案》 提出到2028年 工业互联网 与 人工智能 融合赋能水平显著提升 推动不少于50000家企业 实施新型工业网络改造升级 在20个重点行业 打造一批高质量数据集 培育一批智能化解决方案 供应商 ( 新华社发(木锦 制图) ...