2025 July Notice on Issuing the Implementation Plan for Digital Transformation in the Mechanical Industry

Recently, eight government departments, including the Ministry of Industry and Information Technology, the Ministry of Human Resources and Social Security, the Ministry of Housing and Urban-Rural Development, the Ministry of Transport, the Ministry of Agriculture and Rural Affairs, the National Health Commission, the Ministry of Emergency Management, and the State Administration for Market Regulation, jointly issued the "Implementation Plan for the Digital Transformation of the Machinery Industry (2025-2030)" to promote the industry's digital transformation and intelligent upgrade.

The plan proposes that by 2027, digital intelligence technologies will be widely applied in product R&D, design, production, management, and operation and maintenance services. Enterprises with a maturity level of Level 2 or above in intelligent manufacturing capabilities will account for 50% of all enterprises, and at least 200 high-quality smart factories will be built. A group of system solution providers with both industry and digital expertise will be cultivated, and at least 200 excellent scenario-based solutions will be developed, significantly enhancing service capabilities. By 2030, enterprises above designated size in the machinery industry will have essentially completed a round of digital transformation, with 60% of enterprises with a maturity level of Level 2 or above in intelligent manufacturing capabilities, and at least 500 high-quality smart factories will have been built. A comprehensive, secure, and controllable product and service supply system will be essentially established, significantly enhancing the industry's digital and intelligent capabilities.

The "Plan" implements "four major actions" from two aspects: the digital transformation of the machinery industry itself and empowering the digital transformation of other industries. It focuses on the "three major areas" of intelligent equipment, intelligent manufacturing and smart services, and proposes 12 key tasks. It takes intelligent manufacturing as the main direction, the deep integration of equipment technology and new generation information technology as the main line, and product intelligence, digital production and intelligent services as the key points. It focuses on the needs of enterprise development and industrial transformation and upgrading, adheres to innovative development and safe and controllable, and adheres to scenario-driven and problem-oriented approaches. It develops a batch of intelligent equipment, builds a batch of smart factories, and expands a batch of smart services to promote the high-end, intelligent and green development of the machinery industry, and provide solid technical equipment guarantees for promoting new industrialization.

Notice on the issuance of the "Implementation Plan for the Digital Transformation of the Machinery Industry"

Ministry of Industry and Information Technology (MIIT) Unicom Equipment [2025] No. 152

To the competent departments of industry and information technology, human resources and social security, housing and urban-rural development, transportation, agriculture and rural affairs, health and medical care, emergency management, and market supervision in all provinces, autonomous regions, municipalities directly under the Central Government, and municipalities with independent planning status, the Xinjiang Production and Construction Corps, and all provincial-level bureaus of the State Administration of Work Safety:

The "Implementation Plan for the Digital Transformation of the Machinery Industry" is hereby issued to you. Please implement it diligently in light of your actual circumstances.

Ministry of Industry and Information Technology, Ministry of Human Resources and Social Security, Ministry of Housing and Urban-Rural Development, Ministry of Transport, Ministry of Agriculture and Rural Affairs, National Health Commission, Ministry of Emergency Management, and State Administration for Market Regulation, July 2, 2025

Implementation Plan for the Digital Transformation of the Machinery Industry

The machinery industry is a fundamental and strategic sector that provides technical equipment for national economic development, national defense and military construction, and public welfare. It is characterized by its broad industrial coverage, diverse product categories, complex product structures, long industrial chains, and the coexistence of large-scale production and small-batch customization. Accelerating the digital transformation of the machinery industry is both an inevitable requirement for promoting high-quality development and a key measure to support the digital transformation of all sectors of the national economy and accelerate the advancement of new industrialization. This implementation plan has been formulated to implement the "Action Plan for the Digital Transformation of Manufacturing" and accelerate the digital transformation and intelligent upgrading of the machinery industry.

I. Overall Requirements

Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, we will thoroughly implement the spirit of the 20th National Congress of the Communist Party of China and the Second and Third Plenary Sessions of the 20th Central Committee of the Communist Party of China, fully, accurately, and comprehensively implement the new development concept, and further implement the deployment requirements of the National Conference on Promoting New Industrialization. With intelligent manufacturing as our primary focus, and improving quality, reducing costs, increasing efficiency, and reshaping value creation as our goals, we will prioritize the deep integration of equipment technology and next-generation information technology, focusing on intelligent products, digitalized production, and intelligent services. Focusing on the needs of enterprise development and industrial transformation and upgrading, we will adhere to innovative development, safe and controllable practices, and adhere to scenario-driven and problem-oriented approaches. We will develop a batch of intelligent equipment, build a batch of smart factories, and expand a batch of smart services, promoting the high-end, intelligent, and green development of the machinery industry, and providing solid technical and equipment support for advancing new industrialization.

By 2027, digital intelligence technologies will be widely applied in product R&D, design, production, management, and maintenance services. Enterprises with a maturity level of Level 2 or higher in intelligent manufacturing capabilities will account for 50%, and at least 200 "excellent" smart factories will be established. This will drive steady improvement in the digitalization and intelligence of machinery enterprises' R&D, design, production, and supply chain management. A group of system solution providers with both industry and digital expertise will be cultivated, developing at least 200 excellent scenario-based solutions and significantly enhancing service capabilities. By 2030, all enterprises above designated size in the machinery industry will have essentially completed a round of digital transformation. Key enterprises will achieve data interconnection and shared collaboration across the upstream and downstream supply chains of their industrial chains. Key enterprises will deeply utilize artificial intelligence technologies. Enterprises with a maturity level of Level 2 or higher in intelligent manufacturing capabilities will account for 60%, and at least 500 "excellent" smart factories will be established. A comprehensive, secure, and controllable product and service supply chain will be essentially established, significantly enhancing the industry's digitalization and intelligence capabilities.

II. Key Tasks

(I)

Intelligent Equipment Innovation and Development Action

1. Conduct research on common technologies and key components. Deeply implement the industrial base reconstruction project. Addressing shortcomings in perception, control, and execution, breakthroughs will be made in intelligent sensing technologies such as high-speed dynamic sensing and feature extraction, as well as low-power, highly sensitive smart sensors for speed, acceleration, and displacement. Breakthroughs will be made in intelligent control technologies such as autonomous learning and optimized control strategies, as well as intelligent controllers such as highly reliable and highly integrated programmable controllers and integrated drive and control motion controllers. Breakthroughs will also be made in digital actuators and basic components such as digital hydraulics, precision pneumatics, and electronic transmissions. Accelerate the development of new industrial software, support the softwareization of technical knowledge in processes, agronomy, and medical technology, develop a number of industrial apps, cloud-based software, and cloud-native software, and promote the integration and application of artificial intelligence technologies, such as large models, with equipment technologies.

2. Promote innovation in integrated equipment. Aiming to meet the needs of upgrading outdated industrial equipment, we will implement a large-scale equipment upgrade program to support enterprises in integrating intelligent components such as perception, control, and execution, and upgrade a number of outdated, inefficient, and energy-intensive in-service equipment. To meet the needs of national defense, military industry, and national strategic needs, we will implement major national science and technology projects, including major R&D programs, to achieve breakthroughs in a number of intelligent equipment, including industrial machine tools, industrial robots, intelligent instrumentation, intelligent testing equipment, safety and emergency response equipment, and deep mining safety equipment. To meet the people's needs for a better life, we will develop a number of intelligent consumer goods, including intelligent agricultural machinery, medical equipment, textile machinery, food machinery, energy-saving and environmental protection equipment, and service robots. In response to global technological innovation trends and future industrial development needs, we will accelerate the implementation of major technical equipment research projects and achieve breakthroughs in a number of future high-end equipment, including humanoid robots and brain-computer interface products.

3. Accelerate the promotion and application of intelligent equipment. Build a number of pilot verification platforms to support the engineering and industrialization of key products in industries such as industrial machine tools, agricultural machinery, medical equipment, safety and emergency response equipment, intelligent mining equipment, and basic mechanical components. Support leading industry enterprises and research institutes in establishing integrated virtual and real-world testing and verification environments. Accelerate the promotion and application of first-of-its-kind equipment, establish a digital and intelligent monitoring system for the entire application process, and ensure that risks are manageable during the application process. Aiming at typical scenarios such as human-machine collaborative operations, online intelligent testing, and intelligent warehousing, we will develop a series of low-cost, reusable system solutions by industry to accelerate the penetration and popularization of intelligent equipment and system solutions in small and medium-sized enterprises. We will compile a catalog of applications and promotions for industrial machine tools, robots, instrumentation, and other technologies. We will organize and carry out activities such as the "Robot+" application campaign, the "Industrial Machine Tool+" production-demand docking program for hundreds of industries and tens of thousands of enterprises, and the "Smart Manufacturing in Industrial Parks" initiative to promote the large-scale application of intelligent equipment in the automotive, electronics and information technology, aerospace, rail transit, clean energy, agriculture, and construction sectors.

Column 1: Intelligent Equipment Innovation and Development Project

1. Industrial Machine Tools

To meet the needs of strategic emerging industries such as new energy vehicles, new energy equipment, and aerospace, as well as the transformation and upgrading of traditional industries, we will focus on developing CNC vertical/horizontal/gantry (five-axis) machining centers, CNC lathes and turning centers, casting equipment, forging equipment, and additive manufacturing equipment. We will promote the CNC machine tool industry interconnection communication protocol (NC-Link), promote the deep integration of next-generation information technology and industrial machine tool technology, and develop intelligent industrial machine tools.

2. Industrial Robots

We will focus on developing high-precision, heavy-load robots, skilled operation robots, and robots for special environments. We will build a number of pilot and verification platforms for industrial robots and core components. We will promote the application of high-end industrial robots such as high-load welding robots, explosion-proof spray robots, and collaborative robots in key sectors such as automotive, shipbuilding, rail transit, and aerospace.

3. Instrumentation

Focus on developing scientific research instruments such as high-resolution spectrometers, mass spectrometers, chromatographs, and ultra-wideband high-resolution digital storage oscilloscopes; intelligent testing equipment for complex component surface quality inspection, non-destructive testing of internal defects, and online measurement of assembly parameters; specialized instruments and equipment for environmental monitoring, navigation and mapping, geological exploration, nuclear and nuclear radiation measurement; key components such as high-end detectors and sensors, high-end signal generation and radiation source components, and precision analysis, separation, and control components; and industry atlases and software such as basic instrumentation software and databases.

4. Intelligent Control Equipment

Focus on developing a range of intelligent control equipment, including distributed intelligent control systems, adaptive flexible control systems, integrated edge controllers for real-time resource scheduling and control, integrated drive and control motion controllers, high-performance and high-reliability embedded control systems, and highly integrated programmable logic controllers. This will promote the deep integration of artificial intelligence and real-time control technologies.

5. Intelligent Logistics Equipment

Focus on developing high-speed heavy-duty stackers, high-speed intelligent sorters, intelligent multi-layer multi-directional shuttles, intelligent high-density storage shuttles, high-parameter intelligent high-bay warehouses, complete sets of high-speed, high-capacity conveying and sorting equipment, and complete sets of intelligent workshop logistics equipment.

6. Medical Equipment

Focus on developing innovative medical equipment such as next-generation intelligent monitoring systems, brain-computer interface-based intelligent rehabilitation training equipment, and intelligent prosthetics. Build a number of pilot verification platforms for intelligent medical equipment, and promote the application of advanced and applicable medical equipment such as intelligent medical imaging-assisted diagnosis systems, intelligent surgical robots, and intelligent meridian-based Traditional Chinese Medicine diagnosis systems.

7. Pharmaceutical Equipment

Focus on developing high-performance cell culture vessels and associated systems, protein separation and purification equipment, high-standard formulation equipment, continuous micro-reaction synthesis and oral dosage form manufacturing equipment, and complex formulation production and testing equipment. Continue to promote breakthroughs and applications in high-end sensors and new bioreactors.

8. Agricultural Machinery

Focus on developing high-horsepower intelligent tractors, high-feed grain combine harvesters, large-scale high-speed precision seed drills, self-propelled wide-boom sprayers, manure returners, side-deep fertilizer applicators, integrated water, fertilizer, and pesticide equipment, protected horticulture equipment, protected aquaculture equipment, and large-scale aquaculture equipment. Also, focus on developing intelligent agricultural machinery suitable for hilly and mountainous areas, such as tractors for hilly and mountainous areas, lightweight sugarcane harvesters, and mountain corn harvesters. We will deepen unmanned agricultural operation trials, establish unmanned agricultural operation pilot zones, and explore new paths for the integrated support of intelligent agricultural machinery and smart agriculture.

9. Rail Transit Equipment

We will focus on developing a portfolio of intelligent rail transit equipment, including the "Fuxing" intelligent EMU, new energy locomotives, smart subways and intercity trains, and magnetic levitation transportation equipment. We will continue to advance technological upgrades in intelligent equipment, smart services, and smart urban rail transit, developing a comprehensive "product +" and "system +" full-lifecycle service system solution.

10. Safety and Emergency Equipment

To meet the needs for improving inherent safety in key industries such as manufacturing, mining, hazardous chemicals, industry and trade, energy, transportation, and housing and construction, as well as the need for prevention and emergency response to natural disasters such as floods, droughts, typhoons, forest and grassland fires, geological disasters, and earthquakes, we will prioritize the development of monitoring and early warning equipment, emergency communications equipment, specialized production safety equipment and facilities, safety materials and products, personal protective equipment, emergency rescue and response equipment, firefighting equipment, and emergency support equipment, promoting the development of intelligent, lightweight, and standardized equipment.

11. Mining Equipment

Focus on developing core equipment such as intelligent high-speed excavation equipment, hard rock cutting and tunneling equipment, intelligent drilling equipment, intelligent fully mechanized mining equipment for working faces, unmanned intelligent drilling and blasting equipment, intelligent mining equipment for thin coal seams and thin ore veins, intelligent shoveling and transportation equipment, intelligent tailings filling equipment, large-scale intelligent mining and stripping equipment for open-pit mines, intelligent special operation robots, and new unmanned mining vehicles. Accelerate the research and development and application of core components, sensors, key control units, and operating systems for intelligent mining equipment.

12. Construction Machinery

Focus on developing high-end, green construction machinery designed for intelligent operation scenarios and unmanned operation systems. Continue to promote breakthroughs in intelligent load management, dynamic stability control, adaptive operation assistance, active safety, and energy management technologies, and continuously improve the accuracy of autonomous identification and the stability of autonomous operation of intelligent construction machinery.

Action Plan for Expanding and Popularizing Smart Manufacturing

4. Accelerate the digital transformation of enterprises. Launch digital transformation initiatives, implement a number of "smart to digital, connected to network" transformation projects, promote the replacement of outdated equipment and the transformation of "dumb" equipment, support enterprises in implementing integrated hardware and software transformation, promote the comprehensive interconnection of production equipment and information systems, foster innovation in digital integrated applications, and enhance enterprises' digital lean management capabilities. Launch a phased development initiative for smart factories, supporting enterprises with strong digital foundations to carry out intelligent upgrades focusing on typical scenarios such as digital R&D and design, flexible production line configuration, smart warehousing, equipment operation and maintenance, and flexible supply chain management. Accelerate the integrated application of digital technologies such as artificial intelligence, explore future manufacturing models, and promote innovation in business models and enterprise structures. Organize industry organizations to research and analyze typical and industry-specific scenarios for smart manufacturing, as well as reference guidelines for key elements, to provide reference for enterprise transformation. Implement a special action plan to empower small and medium-sized enterprises with digitalization, support enterprises in implementing low-cost, fast-acting digital "micro-transformations" such as equipment automation, data collection, and cloud-based platforms, tailored to their specific needs, to strengthen their digital foundation.

Column 2: Smart Factory Gradual Development Project

1. Basic Smart Factory

Build foundational digital and networked capabilities. Deploy necessary smart manufacturing equipment, industrial software, and systems for typical smart manufacturing scenarios. This will enable real-time core data collection, automation of key production processes, and informatization of production and operations management. Conduct targeted intelligent exploration.

2. Advanced Smart Factory

Improve digital and networked integration capabilities. Broadly deploy smart manufacturing equipment, industrial software, and systems for typical smart manufacturing scenarios. This will enable interoperability and sharing of production and operations data, precise control of key production processes, and collaborative management and control of production and operations. Intelligent applications will be implemented in key scenarios.

3. Excellence Smart Factory

Strengthen digital and networked continuous optimization capabilities. Systematically deploy smart manufacturing equipment, industrial software, and systems for typical smart manufacturing scenarios. This will enable integrated design, production, and operations data, intelligent management and control of manufacturing equipment, and online optimization of production processes. Comprehensively optimize the entire product lifecycle and supply chain, promoting system-level intelligent applications across multiple scenarios.

4. Pilot-level Smart Factories

Promote the deep integration of digital technologies, such as next-generation artificial intelligence, across the entire manufacturing process, achieving breakthroughs in the research and development and application of equipment, processes, software, and systems. This will drive innovation in R&D paradigms, production methods, service systems, and organizational structures, explore future manufacturing models, and drive changes in industrial models and enterprise structures.

5. Collaboratively promote chain-based digital transformation. Develop smart supply chains, supporting key enterprises in key industries such as industrial machine tools, construction machinery, agricultural machinery, rail transit equipment, medical equipment, mining equipment, and energy-saving and environmental protection equipment to build supply chain collaboration platforms. This will promote data interoperability, trusted information exchange, and flexible resource allocation. Support collaborative transformation across the supply chain, encouraging leading enterprises to collaborate with upstream and downstream enterprises to develop collaborative technology transformation plans, and implement digital collaborative transformation initiatives such as collaborative design of complex equipment networks, distributed collaborative manufacturing across multiple factories, and collaborative management of upstream and downstream supply chains. Support key enterprises in capacity sharing and open data interfaces, using standards to drive the widespread adoption of intelligent manufacturing equipment, advanced manufacturing processes, and excellent management concepts throughout the supply chain, driving the chain-based transformation of small and medium-sized enterprises.

6. Guide the overall digital transformation of the region. Develop high-standard digital parks, streamline data, innovation, industrial, and supply chains within the parks, and explore pathways for overall digital upgrades. Encourage equipment industry clusters and parks to focus on common needs, establish shared processing centers, casting centers, coating centers, surface treatment centers, and testing centers, and explore new models and formats for regional collaborative design, collaborative production, and collaborative services. Carry out pilot programs for new technological transformation in manufacturing and for the digital transformation of small and medium-sized enterprises. Encourage local governments, high-tech development zones, economic and technological development zones, and core parks hosting equipment industry clusters to focus on leading industries, organize and implement digital transformation pilot projects, cultivate a number of common scenarios, and encourage enterprises to "follow their examples." Establish a number of regional and industry digital transformation promotion centers to provide public services such as assessment and diagnosis, pilot verification, and talent training for enterprises' digital transformation.

(III)

Smart Service Expansion and Enhancement Actions

7. Enhance equipment service capabilities. Guide enterprises to focus on personalized user needs and enhance smart service capabilities such as product data acquisition, interconnection, human-machine interaction, decision support, and autonomous execution. Key enterprises in key industries, such as industrial machine tools, construction machinery, agricultural machinery, rail transit equipment, medical equipment, mining equipment, and pharmaceutical equipment, are encouraged to develop intelligent operation and maintenance management platforms to provide intelligent operation and maintenance services, including remote equipment fault diagnosis, operating parameter optimization, trajectory tracking, predictive maintenance, and shared deployment. Capable equipment manufacturers are supported to expand or transform from equipment suppliers to system solution providers, providing high-quality, professional, one-stop integrated services to meet the digital transformation needs of industry users.

8. Cultivate smart service scenarios. Apply intelligent rail transit equipment, intelligent port equipment, and intelligent logistics equipment to create smart transportation scenarios such as smart highways, smart railways, smart urban rail transit, smart ports, smart waterways, smart logistics, and smart hubs. Conduct in-depth unmanned agricultural operation trials and accelerate the development of unmanned agricultural operation pilot zones. Promote the application of intelligent power and farming, management, and harvesting equipment, facility horticulture equipment, and livestock and aquaculture equipment to cultivate smart agricultural scenarios such as smart farms, smart ranches, smart fisheries, and slaughterhouses. Launch initiatives to promote the application of high-end medical equipment, promote the integration and application of artificial intelligence and medical equipment, create smart medical scenarios such as medical image-assisted interpretation and remote consultation, and promote the research and development and application of equipment such as medical emergency robots and smart ambulances. Carry out pilot projects in smart construction and smart mining, applying engineering surveying drones, construction robots, integrated construction equipment platforms, as well as smart excavators, mining trucks, drilling rigs, and specialized robots, to create smart construction scenarios such as intelligent surveying and mapping, intelligent production of building components, and human-machine collaborative construction. Promote the application of safety and emergency equipment such as emergency robots, smart fire trucks, and rescue equipment, select exemplary cases, and establish safety and emergency bases.

9. Unlock the value of equipment data. Conduct data governance throughout the equipment lifecycle, improve data governance systems for intelligent equipment data collection, secure storage, knowledge visualization, and standardized utilization, and establish high-quality data resources that are controllable, trustworthy, and traceable. Implement trusted data space development initiatives, build a number of trusted data spaces in industries such as construction machinery, rail transit equipment, agricultural machinery equipment, medical equipment, and mining equipment, and explore and cultivate new models and new business formats such as data-driven industrial integration and collaborative innovation. Accelerate the valuing of data across the entire equipment lifecycle, encourage data trading institutions to focus on data across the entire equipment lifecycle, explore models for the circulation and trading of equipment data, and promote the development of an intelligent equipment data service ecosystem.

(IV)

Actions to Strengthen and Consolidate Basic Support

10. Improve the Digital Transformation Standards System. Aiming at the needs of digital transformation and intelligent upgrading in the machinery industry, promote the development of a standards system and clarify key areas for the development of intelligent manufacturing standards in key areas. Accelerate the development of standards, focusing on intelligent equipment, intelligent manufacturing, and smart services, specifically addressing equipment digital intelligence functions, intelligent scenarios, new technology integration, and evaluation systems. Strengthen the dissemination and application of standards, using them to guide enterprises in developing typical digital transformation scenarios, and support the establishment of a coordinated "standards cluster" of national, industry, group, and enterprise standards. Continue to promote pilot applications of intelligent manufacturing standards, encourage enterprises to build a number of intelligent "mother factories," and consolidate and standardize the development experience of digital transformation and intelligent upgrading.

Column 3: Digital Transformation Standards Enhancement Project

1. Standards System Development: Rollingly formulate and revise the "Guidelines for the Construction of the National Intelligent Manufacturing Standards System," researching and proposing key standards for digital transformation and intelligent upgrades in areas such as intelligent equipment, intelligent manufacturing, and smart services.

2. Key Standard Development: For intelligent equipment, focus on developing standards for product data collection interfaces, interconnection communication protocols, data dictionaries, human-computer interaction, and process knowledge bases. For intelligent manufacturing, focus on developing standards for intelligent scenarios such as integrated design and manufacturing, reconfigurable flexible production, and lean digital management, as well as standards for the integrated application of new technologies such as digital twin equipment, industrial artificial intelligence, and industrial data circulation. For smart services, focus on developing standards for data-driven services, model-as-a-service, and intelligent operation and maintenance services. Improve standards for intelligent manufacturing capability maturity assessments.

3. Standard Application and Promotion: Promote the application of mature standards such as machine vision online inspection, digital design of smart factories, remote operation and maintenance, and predictive maintenance in the machinery industry. Develop and summarize "standard clusters" for typical digital transformation scenarios, and promote the dissemination of successful experiences among small and medium-sized enterprises.

Image

11. Promote the development of digital infrastructure. Increase the supply of high-performance intelligent computing and promote the coordinated development of cloud-edge-device computing power for typical industry applications such as multi-equipment collaborative operations, equipment operation optimization, and remote equipment operation and maintenance. Support the development of industry AI infrastructure, deploying a number of new infrastructure such as open AI platforms for niche industries, high-quality industry datasets, and infrastructure big data centers. Explore the establishment of a data flow and traceability system for the entire life cycle of intelligent equipment in key industries. Support industry enterprises in transforming their internal and external networks, flexibly deploying new network infrastructure such as 5G industry virtual private networks, industrial optical networks, industrial Ethernet, and Beidou navigation based on their own needs, to support data interconnection and interoperability throughout the equipment life cycle, the entire production and manufacturing process, and all links of the supply chain.

12. Strengthen network and data security governance. Implement categorized and graded management of industrial internet security, encourage enterprises to implement the requirements of the "Measures for the Classification and Grading of Industrial Internet Security" and the "Guidelines for the Cybersecurity Protection of Industrial Control Systems," and conduct comprehensive work including self-classification, graded protection, conformity assessment, and security rectification. Guide key enterprises in strengthening cybersecurity monitoring measures, enhancing the security protection of important industrial control systems, and improving comprehensive cybersecurity assurance capabilities. Promote the development of standards and specifications for identifying important data in key sub-sectors, guide enterprises in identifying and cataloguing important data, implement requirements for tiered protection, risk assessment, and monitoring and emergency response, apply data security technology products, strengthen data security, and enhance protection capabilities.

III. Organization and Implementation

(I) Strengthening Organizational Coordination

Strengthen inter-departmental collaboration to jointly advance technological breakthroughs, equipment innovation, promotion and application, standard development, and talent cultivation for the digital transformation of the machinery industry. Strengthen central-local collaboration, encourage local governments and industrial parks to introduce supporting policies, guide the aggregation of various social resources, and form a systematic framework for advancement. Leverage the role of the Intelligent Manufacturing Expert Advisory Committee and relevant universities, research institutions, and professional think tanks to conduct forward-looking, strategic research on major issues related to the digital transformation of the machinery industry. Encourage industry organizations to serve as bridges and links, strengthening policy dissemination, industry monitoring, decision-making support, and enterprise services.

(II) Improving Public Services

Support existing national industrial metrology and testing centers, standard testing and verification platforms, and service organizations to enhance their professional service capabilities in inspection and testing, quality certification, metrology and testing, consulting and planning, and safety assessment, and vigorously develop "one-stop" services for quality infrastructure. Enhance the capabilities of platforms such as the National Intelligent Manufacturing Data Resource Public Service Platform, encourage local governments to build a number of regional and industry-wide public service platforms, and provide public services such as assessment and diagnosis, benchmarking cases, and supply-demand matching for the industry's digital transformation. Improve the indicator system for intelligent manufacturing capability maturity and performance evaluation, and encourage local governments to organize large-scale machinery enterprises to conduct extensive self-assessments of intelligent manufacturing capability maturity and digitalization levels.

(III)

Strengthening Talent Cultivation

Conduct a survey on the demand for key professional and technical personnel for the digital transformation of the machinery industry, and promote the establishment of a database of key personnel and experts. Support the develo