On November 24, the Ministry of Industry and Information Technology issued the Declaration Notes on Typical Cases of Industrial Internet "Chain Network Collaboration" in 2025. The declaration covers 15 industrial fields, and the details are as follows:
2025 Industrial Internet "Chain Network Synergy" Typical Case Declaration Description
I. Overall Requirements
To promote the development of industrial Internet and key industrial chains "Chain Network Synergy" as the main line, accelerate the popularization of large-scale application of industrial Internet. Focus on application traction and scenario-driven, give full play to the advantages of resource allocation and factor connection of industrial Internet, promote the transformation of traditional industrial chain and supply chain from "supply-demand connection" to "data connection", and realize cross-link, cross-sector and cross-enterprise data exchange among upstream and downstream enterprises in the industrial chain, such as R & D, design, production, sales, logistics and services. Promote the production coordination and smooth circulation of industrial cluster network, and enhance the safety, resilience and modernization level of industrial chain.
This case collection work is divided into two types: technology leading type and application popularization type, and typical cases of "chain network collaboration" are selected. Among them,
technology-leading cases are guided by advanced technology, the main body of declaration plays a leading role in leading and "chain owner" enterprises, strengthens the layout of cutting-edge technology, continuously increases R & D investment, creates benchmarking schemes for system integration and scale construction of industrial Internet, and gathers the latest achievements of technological and industrial innovation. The innovative technology and key products of industrial Internet should be applied on a large scale, facing the application of the whole life cycle of products, the whole process of production and manufacturing, and the whole link of supply chain, so as to build a fully functional system integ ration construction scheme, which should fully link the elements of human, machine, material and system in the industrial chain, and promote cross-organizational and cross-regional integration. Relevant technologies fill the domestic technology gap and reach the international leading level, improve the safety and controllability of the core links of the industrial chain, radiate and drive the upstream and downstream enterprises of the industrial chain to carry out the systematic reconstructio n of the data-driven whole value chain collaborative business model, and promote the optimization and upgrading of the industrial chain and supply chain.
The application of popular cases is guided by economic benefits. Based on the precipitation of industry knowledge and experience, the applicant focuses on business pain points, innovates business models, creates "small, fast, light and accurate" digital transformation products and service model programs, and obtains short cycle and quantifiable economic returns. Deeply apply the mature technology of industrial Internet, create lightweight deployment scheme, promote the efficient use of industrial data such as supply and demand data, production data and management data, optimize enterprise management internally, reduce operating costs, improve production efficiency and product quality, and enhance the core competitiveness of enterprises; Enhance the breadth of external supply network connections, expand market channels, create value through connections, help enterprises find resources and markets, and achieve a wider and more efficient allocation of resources. Scen
arios include but are not limited to: multi-base equipment management collaboration, supply chain visualization, intelligent material management, intelligent energy scheduling, real-time online monitoring of process parameters, intelligent control of hot rolling production lines, intelligent monitoring and analysis of steelmaking conditions, Intelligent grading of scrap steel, etc.
2.
Scenarios include but are not limited to: customization based on user selection, production, supply and marketing collaboration (production, warehousing and distribution, sales collaboration), product and equipment sharing and leasing, predictive maintenance of product and equipment, remote control of dangerous operations, cross-process collaboration, flexible configuration of production lines, intelligent detection and analysis of assembly process, etc.
3.
Scenarios include but are not limited to: cross-enterprise R & D and design collaboration, supply chain flexible scheduling, customization based on customer needs, enterprise production collaboration, flexible manufacturing, intelligent production management and control based on digital twins, intelligent assembly testing, process compliance verification, product quality traceability, etc.
4.
Scenarios include but are not limited to: new energy power prediction, intelligent patrol inspection and maintenance, intelligent procurement of power materials, refined management of power production cost, integration of source, network, load and storage, coordinated regulation and control of regional micro-grid, visual management and control of full-service operation of power enterprises, intelligent zero-carbon power plants, etc.
5.
Scenarios include but are not limited to: collaborative manufacturing based on industrial chain, intelligent operation and maintenance of ships, intelligent distribution and dynamic optimization of supply chain, dynamic tracking of materials, full life cycle management of equipment, precise traceability of product quality, automation of dangerous operations, intelligent scheduling of workshops, human-machine collaboration, etc.
6.
Scenarios include but are not limited to: production line flexible configuration, upstream and downstream collaborative centralized control, pipeline safety monitoring, process parameter optimization, lean production management, unmanned vehicle scheduling management, quality problem traceability, pollution source monitoring and analysis, supply chain risk early warning and flexible management and control, hazard source monitoring and early warning, Unmanned intelligent patrol inspection, etc.
7.
Scenarios include but are not limited to: production unit simulation, equipment collaboration, flexible manufacturing, process compliance verification, demand forecasting and inventory optimization, quality traceability and process optimization, 3D virtual fitting, enterprise collaboration, etc.
8. Relying on industrial Internet platform, we should build an integrated ecosystem of "manufacturing + service", reduce the idle rate of agricultural machinery, and provide technical support for increasing grain production and low-carbon transformation of agriculture.
Scenarios include but are not limited to: intelligent agricultural machinery remote operation scheduling, agricultural machinery failure prediction and precision maintenance, cross-regional capacity collaborative sharing, green agricultural machinery energy consumption optimization, variable fertilization and precision seeding, unmanned agricultural machinery formation collaborative operation, agricultural machinery carbon emission monitoring and optimization, agricultural machinery parts intelligent replenishment, agricultural machinery residual value assessment and second-hand trading, etc.
9.
Scenarios include but are not limited to: intelligent target screening, drug molecular design and optimization, laboratory data integration management, intelligent supply chain management and optimization, product quality review and optimization, digital drug traceability, intelligent clinical research collaboration, large-scale customizable flexible pilot production, etc.
10.
Scenarios include but are not limited to: energy consumption monitoring and optimization of cement kilns, digital twin and defect detection of glass furnaces, intelligent scheduling and waste recycling of ceramic flexible production lines, intelligent mining and green transportation scheduling of sand and gravel aggregates, collaborative design and traceability management of prefabricated building components, The whole process of solid waste disposal is coordinated with resource utilization.
11.
Scenarios include but are not limited to: modular R & D and design, integration of simulation and process optimization, dynamic scheduling of flexible production lines, automated assembly and production, supply chain visualization collaboration, mass customization, etc.
12. Promote the aviation manufacturing industry to achieve cross-regional research and development, multi-level supply chain collaboration, and integrated management and control of complex equipment through the industrial Internet.
Scenarios include but are not limited to: cross-regional collaborative research and development, supply chain quality traceability, equipment operation and maintenance integration, non-destructive testing of composite materials and intelligent defect identification, virtual assembly and remote expert collaboration platform, data-driven assembly scheduling optimization, real-time monitoring of energy consumption and green manufacturing, etc.
13.
Scenarios include but are not limited to: quality traceability and flexible production scheduling in the food industry, personalized customization and energy consumption optimization of smart home appliances, 3D design cloud platform and supply chain collaboration in the furniture industry, predictive maintenance and green production management and control of papermaking equipment, digital quality control of the whole process of daily chemical products, etc.
14.
Scenarios include but are not limited to: real-time remote control of fully mechanized mining equipment, unmanned intelligent patrol inspection, on-site monitoring of production environment, predictive maintenance of mining equipment, mine intelligent exploration and three-dimensional modeling, coordinated scheduling of underground unmanned transportation system, dynamic ore blending optimization of multi-mining area resources, Multi-modal intelligent provention and control for disaster early warning.
15.
Scenarios include but are not limited to: production unit simulation, production energy efficiency management and control, precise dynamic operation, intelligent tallying in the factory area, intelligent stowage and berth optimization of ships, collaborative operation of unmanned container trucks and bridge cranes, container multimodal transport path planning, etc.
Note: For more information about typical application scenarios, please refer to the Reference Guide for Integrated Application of Industrial Internet and Steel Industry (2021), the Reference Guide for Integrated Application of Industrial Internet and Construction Machinery Industry (2023), the Guide for Integrated Application of Industrial Internet and Electronic Information Manufacturing Industry (2023), and the Guide for Integrated Application of Industrial Internet and Electronic Information Manufacturing Industry (2023). Power Industry Integration Application Reference Guide (2024), Industrial Internet and Shipbuilding Industry Integration Application Reference Guide (2025), Industrial Internet and Petrochemical Industry Integration Application Reference Guide (2025) and other related documents.
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