Industry and Information Technology, the National Development and Reform Commission, the Ministry of Finance, the Ministry of Natural Resources, the Ministry of Ecology and Environment, the State-owned Assets Supervision and Administration Commission, the General Administration of Market Supervision, the Chinese Academy of Sciences and the Chinese Academy of Engineering, recently jointly issued the Work Programme for the Digital Transformation of Raw Materials Industry (2024-2026). It is proposed that by 2026, important progress has been made in the digital transformation of raw materials industry in China, key enterprises have completed the diagnosis and evaluation of digital transformation, digital technology has been deeply applied in R & D, design, manufacturing, management, market services and other links, and production factors are ubiquitous in perception, self-control of manufacturing process and operation management. Provide strong support for the high-quality development of the industry. The application level has been significantly improved: more than 120 typical digital transformation scenarios have been created, more than 60 digital transformation benchmarking factories have been cultivated, and a number of digital transformation benchmarking enterprises have been formed. Indicators such as numerical control rate of key processes in key industries and popularization rate of digital R & D and design tools have been significantly improved, and enterprises with digital transformation maturity of level 3 or above have increased to more than 20%. Support capacity has been significantly enhanced: breakthroughs have been made in a number of key core technologies urgently needed for digital transformation, and a number of advanced and applicable standards and specifications for digital transformation have been formulated and revised. Promote the application of more than 100 digital equipment, intelligent instrumentation, industrial software and other excellent products, and cultivate more than 100 excellent system solution providers with high professional level and strong service ability. The service system will be further improved: one big data center for new materials, four digital transformation promotion centers for key industries, four manufacturing innovation centers for key industries, more than five secondary nodes for industrial Internet identification and analysis, and more than six industry-level industrial Internet platforms will be built. Notice
on Issuing the Work Plan for Digital Transformation of Raw Material Industry (2024-2026) Lianyuan [2023] No.
270 of the Ministry of Industry and Information Technology of all provinces, autonomous regions, municipalities directly under the Central Government and cities specifically designated in the state plan, Xinjiang Production and Construction Corps Industry and Information Technology, Development and Reform, Finance, Departments in charge of natural resources, ecological environment, state-owned assets and market supervision, and all relevant units:
The Work Plan for Digital Transformation of Raw Material Industry (2024-2026) is hereby printed and distributed to you. Please implement it carefully in combination with the actual situation. Ministry of
Industry and
Information Technology National Development and Reform Commission
Ministry of Finance
Ministry of
Natural Resources Ministry of Ecology and Environment
State-owned Assets Supervision and Administration Commission
of the State Council Work Plan
for Digital Transformation of Raw Material Industry (2024-2026)
of the Chinese Academy of Sciences
and the Chinese Academy of Engineering
of the General Administration
of Market Supervision and Administration on January 16
, 2024 Material industry is the basic industry of the national economy, which has the outstanding characteristics of process industry, such as resource-intensive, complex process mechanism and strong continuity of production. In recent years, the digital transformation of China's raw material industry has been deepening, and some leading enterprises in the industry have reached the international leading level, but there are still some problems, such as insufficient understanding of digital transformation, great differences in the basis of digital transformation, high difficulty in modeling and simulation, inadequate integration and application of digital technologies such as artificial intelligence, and shortage of compound talents. In order to promote the digital transformation of raw material industry, accelerate the new industrialization and build a strong manufacturing country, this plan is formulated.
1. General requirements
(1) Guided by Xi Jinping's socialist ideology with Chinese characteristics in the new era, the guiding ideology
is to thoroughly implement the spirit of the 20th National Congress of the Communist Party of China, conscientiously implement the deployment of the National Conference on Promoting New Industrialization, and completely, accurately and comprehensively implement the new development concept. We should adhere to planning guidance, problem orientation, system deployment and classified promotion, with the ultimate goal of upgrading quality, reducing costs, increasing efficiency and green security, and strive to consolidate the foundation of digital transformation, deepen the application of digital technology, strengthen the coordination of hardware and software, improve the support and guarantee system, and drive the business transformation of the whole industrial chain with industrial digitalization. We will accelerate the high-end, green, safe and efficient development of the raw material industry, comprehensively enhance the core competitiveness of the industry and build new international competitive advantages.
(2) Important progress has been made in the digital transformation of the main target
raw material industry, key enterprises have completed the diagnosis and evaluation of the digital transformation, and digital technology has been deeply applied in R & D, design, manufacturing, management and market services. The level of ubiquitous perception of production factors, self-regulation of manufacturing process and optimal decision-making of operation management has been greatly improved, which provides strong support for the high-quality development of the industry.
The application level has been significantly improved. Create more than 120 typical scenarios of digital transformation, cultivate more than 60 benchmarking factories of digital transformation, and form a number of benchmarking enterprises of digital transformation. Indicators such as numerical control rate of key processes in key industries and popularization rate of digital R & D and design tools have been significantly improved, and enterprises with digital transformation maturity of level 3 or above have increased to more than 20%.
The supporting capacity has been significantly enhanced. Break through a number of key core technologies urgently needed for digital transformation, and formulate and revise a number of advanced and applicable standards and norms for digital transformation. Promote the application of more than 100 digital equipment, intelligent instrumentation, industrial software and other excellent products, and cultivate more than 100 excellent system solution providers with high professional level and strong service ability.
The service system is more perfect. We will build a large data center for new materials, four digital transformation promotion centers for key industries, four manufacturing innovation centers for key industries, more than five secondary nodes for industrial Internet identification and analysis, and more than six industry-level industrial Internet platforms.
2. Main tasks
(1) Strengthen basic capabilities
1. Strengthen the construction of digital infrastructure in enterprises, and enhance the capabilities of data collection, data aggregation and data quality management. We will carry out upgrading and transformation of basic automation and management informatization, improve data acquisition capabilities in R & D, design, manufacturing, management and market services, and focus on complex working conditions and special equipment such as high temperature, high pressure, multi-media, dust, high noise, strong interference and airtight, and scientifically and rationally lay out high-definition cameras and high precision sensors. Promote the application of industrial control systems such as programmable logic controllers (PLC), distributed control systems (DCS) and safety instrumented systems (SIS), and strengthen the deployment of information systems such as experimental development, manufacturing execution, analysis and testing, procurement and sales. Standardize data interface and data structure, strengthen the integration and storage management of the whole chain data, and build a unified data lake. Establish and improve data quality management mechanism, strengthen data cleaning, data processing, data auditing and other capabilities, improve data integrity, accuracy, consistency, timeliness and availability.
2. Guide enterprises to build a ubiquitous perception network environment, support the flow and transmission of data elements, and realize equipment interconnection, business interconnection and industrial interconnection. We will carry out internal network transformation, accelerate the wide coverage of new network communication technologies such as 5G, industrial optical network, Wi-Fi 6, industrial Ethernet and Beidou navigation in workshops, factories and mines, open up "data islands" in different links such as R & D, production, management and service, and improve the level of business data integration and collaboration within enterprises. Based on IPv6, software-defined network, network virtualization and other technologies to build a high-quality external network, to support the open sharing of logistics, production capacity, finance and other industrial resources data between upstream and downstream enterprises in the industrial chain, and to achieve cross-regional and cross-industry resource allocation. We will continue to promote the construction and application of secondary nodes for industrial Internet identification and analysis in key industries, and carry out network-wide registration and data analysis of key equipment, core models, important products, key raw materials and accessories, so as to improve the level of interconnection among people, machines, materials, laws and rings.
3. Strengthen the construction, deployment and popularization of intelligent equipment, computing facilities and model algorithms in key industries to provide key intelligent support for digital transformation applications. We will accelerate the deployment and application of new intelligent equipment such as unmanned transport vehicles, operating robots, inspection robots and intelligent detection equipment, promote the intelligent transformation and upgrading of major process equipment such as catalysis, cracking, smelting, casting and homogenization, and significantly enhance the ability of production process perception, decision-making and execution. Strengthen the supply of high-performance computing power in enterprises, promote the coordination of intelligent computing power and general computing power, meet the business needs of different types of computing power, and provide efficient and economical computing power support for real-time analysis of massive industrial data. Promote the popularization of industrial software such as process simulation, process simulation and basic physical property database, promote the transformation of experience knowledge such as production scheduling, process control, equipment management and energy management into model algorithms in various industries, form model libraries, algorithm libraries and knowledge libraries that can be replicated and popularized in the industry, and accelerate the software of industrial technology.
(2) Deepening enabling applications
4. Accelerating high-end product innovation, encouraging industry leaders, research institutes and universities to carry out material composition design, structural optimization and performance prediction based on artificial intelligence, high-throughput computing and other technologies, promoting the transformation of material research and development mode, strengthening the supply of key strategic materials, and improving the quality of products. Accelerate the innovation and industrial application of frontier materials.We will promote the high-end upgrading of the production process, comprehensively apply machine vision quality inspection equipment, intelligent on-line monitoring and analysis instruments and quality control systems to strengthen the quality control of the production process, and carry out integrated applications such as advanced process control, planning and scheduling integration, quality on-line monitoring, and equipment life cycle management, so as to improve the accuracy and efficiency of production control. Promote the high-end service level, promote the early intervention (EVI) "quality + service" mode of suppliers such as automotive steel and electrical steel, develop and apply the predictive sales intelligent decision-making system, and build a collaborative and shared intelligent logistics service system.
5. Carry out equipment and process optimization and upgrading based on digital technology to promote pollution reduction, carbon reduction, energy conservation and efficiency. Promote enterprises to build carbon emission control platform and carbon footprint basic database of key products, and comprehensively use Internet of Things, artificial intelligence, block chain, industrial Internet logo analysis and other technologies to carry out carbon emission calculation and carbon footprint traceability, so as to promote low-carbon development. Promote enterprises and parks to strengthen digital energy management and control, carry out on-line monitoring, operation optimization and system balance of key energy-using links, and promote the application of new energy and the reduction of fossil energy. Encourage the construction of environmental management and control platform, based on 5G, UAV, remote sensing, automatic monitoring, machine vision and other technologies, to collect, analyze and warn data on production, transportation of raw materials, fuels and finished products, operation of pollution control facilities, organized and unorganized discharge of pollutants, and environmental quality of plant areas, so as to realize intelligent environmental management. Promote low-noise technology and intelligent equipment, and strengthen odor automatic monitoring and risk prevention and control in odor-related parks and enterprises. We will encourage the construction of industry-oriented trading platforms for renewable resources and promote the trading, circulation and comprehensive utilization of industrial solid waste and various by-products.
6. Accelerate the application of technical products such as on-line analytical instruments and meters, intelligent sensors, inspection robots, fire fighting robots and other safety emergency equipment, and enhance the rapid perception ability of workshops, equipment and facilities, and tank farms in the production process of high-temperature, flammable, explosive, toxic and harmful raw materials. Enterprises are encouraged to build digital safety management and control platforms, establish risk feature databases, failure databases and fault prediction and analysis models, carry out real-time monitoring, analysis and prediction of key equipment, key software, system operation failures and their derived safety risks, and build advanced early warning and prevention capabilities. We will build knowledge bases such as safety production case base and emergency drill scenario base, carry out risk simulation, emergency drill and hidden danger investigation, and strengthen emergency response capabilities. Based on the evaluation model and tool set, the evaluation of safety disposal measures and the retrospective analysis of safety accidents are carried out to enhance the evaluation ability of the system.
7. Promote enterprises to change from traditional experience-based decision-making management to data-driven intelligent decision-making management mode, establish business models for market demand forecasting, sales product mix allocation, procurement ingredients optimization, business and financi al integration management, and enhance business analysis, whole process forecasting and market rapid response capabilities. Build an integrated management mode of sales, procurement, production, warehousing, logistics and other chains to achieve efficient operation of the whole process of supply, production and marketing. Promote business collaboration and resource optimization between upstream and downstream enterprises in the industrial chain, support leading enterprises in key industries and third-party organizations to build a collaborative manufacturing platform for the whole value chain, all asset elements and the whole life cycle of products based on artificial intelligence, block chains, industrial Internet logo analysis and other technologies, and realize manufacturing capacity, technology and knowledge. Improve the efficiency of resource allocation in the industrial chain and supply chain.
(3) Strengthen the cultivation of
the main body 8. Relying on the typical application scenarios of intelligent manufacturing and the existing pilot demonstration work such as demonstration factories, industrial Internet, digital transformation cities for small and medium-sized enterprises, and the integration and development of new generation information technology and manufacturing industry, and based on the characteristics of raw material industry and the needs of digital transformation, the Ministry of Industry and Information Technology of the Ministry of Industry. Carry out the benchmarking tree selection action for the digital transformation of raw material industry. For R & D design, manufacturing execution, quality control, equipment operation and maintenance, warehousing logistics, energy and environmental protection, safety management and other links, to create a number of typical scenarios of digital transformation. Focusing on the integrated application of digital technology in improving product qualification rate, comprehensive utilization efficiency of resources, total labor productivity and energy saving and emission reduction level, a number of "5G + Industrial Internet" integrated application has achieved remarkable results and achieved digital transformation benchmarking factories with digital twins in manufacturing process. Facing the whole process of resource exploration, mining and mineral processing, ore transportation and business decision-making, we will build a number of intelligent mines with digital resource management, intelligent production management and control, unmanned production process and integrated safety management. Focusing on technological capability improvement, business process reengineering, management decision-making optimization, quality improvement, cost reduction and efficiency enhancement, we will build a number of digital transformation benchmarking enterprises with self-perception, self-learning, self-decision-making, self-execution and self-adaptation in the whole process of manufacturing, management and service.
9. Supporting leading enterprises in the raw material industry and "chain owners" to build data-driven and credible interactive industrial chain collaboration platforms, sharing digital technology products such as intelligent equipment, intelligent instruments, intelligent instruments, digital software and industrial APPs with supporting small and medium-sized enterprises, and opening up market, platform, logistics and other resources to small and medium-sized enterprises. Leading enterprises in the industry should be guided to share the experience of intelligent scene and intelligent factory construction, and provide technical support and integrated solutions for the digital transformation and upgrading of small and medium-sized enterprises in green smelting, precision processing and efficient heat treatment. We will cultivate a number of specialized, special and new "Little Giant" enterprises and individual champion enterprises that focus on subdivision areas and have a high level of digitalization, strengthen professional cooperation with large enterprises, and strengthen the support of digital technology, products and equipment supply chains. We will carry out pilot projects for the digital transformation of small and medium-sized enterprises in cities, and promote the transformation and upgrading of small and medium-sized enterprises in the raw material industry.
10. Make full use of 5G, logo analysis, big data, artificial intelligence, cloud computing, Internet of Things, block chain and other technologies, strengthen the upgrading of digital infrastructure and the construction of public service platforms in key industrial parks such as chemical industry and non-ferrous metals, promote the interconnection of park data, and realize the sharing and sharing of infrastructure, resources, energy, technical personnel and other elements. To guide the park to deeply integrate digital technology with modern management, carry out intelligent early warning and analysis and evaluation of key links such as safety production, risk prevention, environmental management, energy management, emergency management and logistics management, promote the coupling development of the industry, and improve the development and management level of the park. Promote the large-scale development of digital collaborative manufacturing and shared manufacturing in raw material industrial agglomeration areas, and build a new ecology of industrial cluster development combining digital and real.
(4) Improving support services
11. Supporting enterprises, scientific research institutes, universities and other relevant units to form innovative consortia, focusing on typical application scenarios such as high-efficiency synthesis and separation, pure smelting and near-net forming. Focusing on key technologies such as data mining, process simulation, process simulation and digital twins, we will tackle key problems in theory, model and algorithm to accelerate technological innovation and breakthroughs. Develop a number of standardized products such as large-scale PLC, intelligent instrumentation and intelligent valves with advanced technology and excellent performance, develop a number of advanced, applicable and reliable engineering digital design and delivery, advanced planning and scheduling, intelligent process control and other high-end industrial software and industrial APPs, relying on intelligent manufacturing system solutions. Cultivate a number of products and system solutions for key industries. We will accelerate the integration, optimization and reorganization of national key laboratories and engineering (technology) centers in the field of intelligent manufacturing of raw materials. We will build innovation centers for raw material industry and manufacturing industry in different industries, integrate all kinds of innovative resources, tackle key common technologies in digital transformation, and open up the innovation chain of technology development, transfer and diffusion to commercial applications.
12. Explore the establishment of demand matching and innovation synergy mechanism between raw material enterprises and AI enterprises, and accelerate the promotion of AI technology enabling raw material industry. Promote the introduction of mature artificial intelligence technology into typical scenarios such as production scheduling optimization, process simulation, operation management decision-making, safety management and control, catalyze a number of low-cost, high-value artificial intelligence products and solutions, and cultivate a number of artificial intelligence technology providers with strong technical capabilities and excellent service quality. Build industry data sets suitable for generative artificial intelligence, carry out customized development and training based on the existing general large model technology base, build large models for subdivided industries, and accelerate the deep innovation of large model technology for the application needs of new material research and development, supply chain optimization, commodity price forecasting, etc.
13. Focus on the digital transformation needs of the industry, focusing on building a public service support system covering technological innovation and transformation, industrial ecological construction and data elements. We will build a number of industrial Internet digital transformation promotion centers in key industries, cultivate a number of digital transformation service institutions, carry out research and development, testing and verification of technical products such as systematic solutions and lightweight industrial APPs, docking of supply and demand of solutions, and digital diagnostic consultation, so as to promote the development level and efficiency evaluation of intelligent manufacturing and enter the park. Help the digital transformation of enterprises. We will build a large data center for new materials, build a multi-level and coordinated data resource system for new materials, and form a data-driven research and development model, a production organization model, and a production-use convergence model. We will build a raw material industry sub-center of the National Industrial Internet Big Data Center to collect data and enable services around the core business of the industry. We will promote the construction of industrial Internet platforms in building materials, non-ferrous metals and other industries, continuously enhance the capabilities of key industrial Internet platforms in petrochemical, chemical, steel and other industries, and support the transformation and upgrading of conditional platforms to cross-industry and cross-domain industrial Internet platforms. It focuses on providing digital transformation service support for small and medium-sized enterprises in the fields of operation optimization, energy management, equipment operation and maintenance, environmental protection, safety management and control.
14. Implement the requirements of classified and hierarchical management of industrial Internet security, establish and improve the classified and hierarchical management system, scientifically identify and determine the level of enterprise network security, implement security protection measures suitable for their own development, continue to carry out network security exercises, and enhance the ability of major risk prevention and disposal through actual combat testing. We will continue to improve the working mechanism of data security in the whole process, develop standards and specifications for identifying important and core data in subdivided industries, strengthen publicity and training, implement the requirements of identifying and filing important data, safety protection, risk assessment, monitoring and early warning, and emergency response, and comprehensively enhance the ability of data security protection. Research institutions, data exchanges and key enterprises are encouraged to cooperate in building trusted data space for subdivided industries to ensure the safety, credibility and controllability of data flow among enterprises. Promote enterprises to establish industrial control safety management system, strengthen the combination of technology and management, effectively improve the level of industrial control safety protection, and implement the main responsibility of industrial control safety.
3. Safeguard measures
(1) Strengthen organization and implementation. The Ministry of Industry and Information Technology and other relevant departments should implement the work in accordance with the division of responsibilities, and all regions should strengthen the policy links with this work programme to promote the implementation of the "first-hand project" of enterprise digital transformation. We will strengthen the monitoring of the digital transformation of the raw material industry and organize regular evaluations. Establish an expert committee on digital transformation of raw material industry to strengthen the support of think tanks for major issues and decision-making of "intelligent transformation, digital transformation and networking". Establish four key industry digital transformation promotion centers, implement relevant key tasks, and carry out digital transformation diagnosis, consultation, evaluation and other services. Select benchmarking enterprises, typical scenarios and solutions for the digital transformation of raw material industry, and explore new formats, new models and new paths that can be replicated and promoted.
(2) Strengthen policy support. We will study and formulate a list of key technologies and key products for the digital transformation of the raw material industry, make good use of existing special funding channels, and coordinate support for basic research, technological innovation and application development of the digital transformation of the raw material industry. Select a group of excellent system solution providers around the needs of digital transformation of raw material industry. Give full play to the role of the national platform for industrial and financial cooperation, bring advanced and applicable technologies into the scope of support, and strengthen the support of financial institutions for digital transformation by implementing differentiated credit policies and innovating financial products.
(3) Strengthen the construction of standards. Focusing on R & D, design, manufacturing, management, green safety and so on, we will continue to improve the standard system of intelligent manufacturing in petrochemical, steel, non-ferrous metals, building materials and other industries. We will promote the formulation and revision of technical standards for new industrial networks, artificial intelligence and industrial Internet platforms that meet the needs of industry characteristics, create a number of application standards covering typical scenarios such as intelligent mining, unmanned casting, pipe network optimization and kiln control, and formulate standards for evaluating the level and effectiveness of digital transformation in key industries. Strengthen the connection between the standard system and the measurement and testing, certification and accreditation, inspection and testing system, increase the publicity of standards, and promote the application of mature standards.
(4) Strengthen the introduction of talents. We will explore the demand for key talents in the field of digitalization of raw materials industry and promote the establishment of a database of key talents and experts. Strengthen the planning and layout of personnel training, support enterprises to set up "chief designer of digital transformation" and "chief data officer", rely on relevant national personnel training projects and key projects, accelerate the cultivation of a number of scientific and technological leaders, young backbone talents, as well as a group of compound talents who understand both raw material industry and digital technology. Relying on the action plan of improving the quality of vocational education, we will accelerate the cultivation of engineers and technical talents in urgent need of digital transformation. Support the introduction of overseas high-end talents in digital transformation.
(5) Strengthen propaganda and guidance. We will support local governments to hold conferences on digital transformation in key industries and release major technological achievements and typical cases. Strengthen industry digital transformation learning and training and benchmarking guidance, enhance the cognitive level of enterprise digital transformation, and promote the change of management concept and transformation development concept. Industry associations are encouraged to organize competitions on technological innovation and application of digital transformation of raw materials industry, and to select and commend outstanding talents and teams. Give full play to the role of mainstream media, official portals, industry associations, professional think tanks and other channels, and strengthen the publicity and reporting of the experience and effectiveness of the digital transformation of the raw material industry.
