At Qingdao Lingzhi Electronic Technology Co., Ltd., staff are on duty at the home appliance control board production line.

  The Ministry of Industry and Information Technology recently issued the "Reference Guidelines for Typical Scenarios of Intelligent Manufacturing (2025 Edition)" (hereinafter referred to as the "Reference Guidelines"), which serves as a reference guide for the cultivation of smart factories, the "leading of the list and leading the way" of intelligent manufacturing system solutions, and the construction of intelligent manufacturing standards systems, to accelerate the digital transformation and intelligent upgrading of manufacturing industry.

  Experts said that typical scenarios of intelligent manufacturing are the basis for the construction of smart factories and are also the basic business unit for promoting intelligent manufacturing. At present, through the deep integration of new generation information technology and manufacturing technology, my country's manufacturing industry has restructured its business through digital, networked and intelligent methods, and the pace of transformation and upgrading has accelerated, providing strong support for high-quality economic development.

  Comprehensively accelerate technological transformation

  Zhao Gang, director of Saizhi Industry Research Institute, believes that the highlight of the "Reference Guide" lies in highlighting intelligent upgrades, focusing on the application of artificial intelligence technologies such as large models, intelligent bodies, robots, digital twins in various links of intelligent manufacturing, and further strengthening the intelligent application directions of different scenarios, such as generative design innovation, intelligent production scheduling, dynamic scheduling systems and intelligent decision-making systems. Focusing on eight major links such as factory construction and product research and development of intelligent manufacturing, we will further strengthen the full chain of business empowerment. Focus on cultivating new models such as factory digital design and delivery, large-scale personalized customization, and precise marketing to promote intelligent transformation of manufacturing production methods and industrial models.

  Xie Shaofeng, chief engineer of the Ministry of Industry and Information Technology, introduced that the Ministry of Industry and Information Technology has accelerated the popularization and application of new generation information technology in all aspects and the "points, lines and surfaces" coordinatedly promoting digital transformation. At present, the first batch of 20 cities have been supported to carry out pilot projects for new technology transformation of manufacturing industries.

  Cultivate benchmark enterprises on the spot. A total of more than 30,000 basic-level smart factories and more than 230 outstanding smart factories have been built; a total of 14,600 specialized and new "little giants" enterprises have been cultivated, more than 140,000 provincial specialized and new small and medium-sized enterprises have been cultivated, and more than 600,000 scientific and innovative small and medium-sized enterprises have been cultivated.

  Promote the transformation of key industries in a chain online. The Ministry of Industry and Information Technology has issued an implementation plan for digital transformation in key industries such as power equipment, light industry, petrochemical, chemical industry, steel, nonferrous metals, and building materials. It sorted out typical digital scenarios by industry, and promoted the precise transformation of key industries in a graphical and scenario-based manner.

  Improve the digitalization level of parks and clusters in an aspect. Create a high-level digital industry cluster and continue to carry out the "Hundred Cities and Thousand Parks Tour" and "Intelligent Manufacturing into Park" activities in the integrated industrial Internet into the park. As of the end of March this year, the penetration rate of digital R&D design tools in industrial enterprises was 83.5%, and the CNC rate of key processes was 66.2%.

  Zhao Gang believes that the "Reference Guidelines" are conducive to promoting the deep integration of manufacturing and new generation digital technologies such as artificial intelligence, and accelerating the creation of an "upgraded version" of intelligent manufacturing; promoting the transformation and upgrading of traditional manufacturing industries, accelerating the exploration of future manufacturing models, and promoting the high-quality development of manufacturing industries; developing new technologies and new products such as industrial software, intelligent equipment, and intelligent robots, and cultivating and developing new quality productivity.

  Xie Shaofeng revealed that the Ministry of Industry and Information Technology will promote the transformation of "points, lines and surfaces" in an integrated manner, promote the "intelligent transformation of numbers and network connections" step by step, promote the all-round and full-chain integration and empowerment of digital technology, and promote the high-end, intelligent and green development of manufacturing through digital transformation.

  In-depth integration of artificial intelligence

  At present, artificial intelligence, especially large-scale model technology, has made rapid progress, accelerating its integration into manufacturing research and development, design, production and manufacturing and other links. Wang Qiaochen, deputy general manager of China Building Materials Information Technology Co., Ltd. and general manager of Xinyun Zhilian, believes that big models are important technological iterations in the digitalization process. Just like electrification, automation, and informatization, it will bring an exponential improvement in production efficiency to the manufacturing industry and reconstruct the industry format.

  Zhao Gang introduced that industrial enterprises have widely accessed models such as DeepSeek, and there are more than 100 industrial large-scale application platforms. Digital transformation in key industries such as power equipment, light industry, petrochemical and chemical industry has been accelerated, and artificial intelligence has empowered 151 typical application cases of new industrialization, and the production efficiency of enterprises has been greatly improved.

  Agencies with big models as the core are becoming an important form of artificial intelligence empowering the industry. Data from the International Data Company IDC shows that by 2026, 50% of the top 500 companies in China will deploy AI agents for data governance, and 40% of the top 500 companies in China will also build a dual-wheel drive system of data intelligence and model intelligence. Liu Jun, executive vice president and president of China, said that the Lenovo Lexiang Super Agent released a few days ago is the first enterprise super agent in the industry. Lenovo will help every company develop super agents in terms of computing infrastructure, data models, intelligent body development services, etc., empower thousands of industries.

  Wang Qiaochen admitted that the industry still faces many difficulties in implementing the big model industry, including insufficient maturity, hallucination phenomena, and lack of interpretability. The big model should move from laboratories to industries, and the focus should be on vertical industries to achieve productivity improvement and value monetization. At this stage, we need to rely on system engineering capabilities and meet industrial requirements such as industrial sites based on existing technology. Although the application of large models is still in its early stages, given the rapid technological iteration, it is expected that the comprehensive improvement of production efficiency will be achieved within two or three years.

  It is understood that the Ministry of Industry and Information Technology will promote the intelligent upgrade of the entire manufacturing process, key industries and key products, and accelerate the next industrialization and commercialization of super smart terminals. Continue to carry out a series of in-depth activities and collection of typical cases for artificial intelligence empowering new industrialization, select "Top Ten industries, Top 100 Scenarios, and Thousands of Benchmarks" to promote industrial intelligence.

  Large-scale application of industrial Internet

  Traditional textile air conditioners rely on manual adjustment and inaccurate temperature and humidity control, resulting in high defect rate and large energy consumption. Inspur Yunzhou has built a digital and intelligent operation platform for textile air conditioners and built a digital twin system based on intelligent bodies, narrowing the workshop temperature and humidity fluctuation range, reducing the defective rate by 1.2%, reducing the overall energy consumption by 10%, and saving more than 200,000 yuan in annual electricity bills. At the same time, operation and maintenance efficiency is improved by 40%, cost is reduced by 30%, and carbon emissions can be monitored in real time. Inspur Cloudzhou plans to promote the intelligent system to 100 textile companies, with an annual carbon reduction of tens of thousands of tons.

  Qi Guangpeng, chairman of Inspur Cloudzhou Industrial Internet, said that the combination of industrial Internet and large-scale model technology is the core driving force for promoting the intelligent upgrade of the real economy. As a national cross-industry and cross-field industrial Internet platform, Inspur Cloudzhou takes the Zhiye Industry Model as a strategic fulcrum to deepen its industry scenarios, solve the pain points of transformation, and help China's industry move to a new height of intelligent manufacturing.

  Xie Cun, Director of the Information and Communication Development Department of the Ministry of Industry and Information Technology, introduced that the Ministry of Industry and Information Technology will take the release of large-scale application efficiency as the main line, accelerate the deep integration of industrial Internet and artificial intelligence, and provide more solid support for promoting the digital transformation of the industry and accelerating the construction of a modern industrial system. Systematically promote the research and upgrading of key technologies in the industrial Internet and accelerate the innovation and industrialization promotion of industrial 5G chips, modules, smart devices and other technologies. Carry out the construction of industrial 5G independent dedicated networks in an orderly manner, build a new industrial network system, create a version 2.0 of the logo resolution system, and promote the integrated development of the industrial Internet and artificial intelligence.

  The industrial Internet is the product of the deep integration of the new generation of information and communication technology and manufacturing, and is a key foundation for the deep integration of the real economy and the digital economy. In recent years, my country has implemented the industrial Internet innovation and development project in depth, and has integrated the five functional systems of network, identification, platform, data and security, and promoted the industrial Internet from scratch to large, and its systematic development is at the forefront of the world. The integrated application of industrial Internet has achieved full coverage of 41 major industrial categories. Last year, the scale of core industries exceeded 1.5 trillion yuan, driving economic growth of nearly 3.5 trillion yuan.

  The high-quality external network covers more than 97% of the prefecture-level administrative regions across the country, providing high-speed, ubiquitous, cloud-network integration, intelligent and agile digital channels for industrial chains, supply chains, and innovation chains. An independent and controllable identification resolution system has been built, with national top nodes operating stably, 383 secondary nodes have been launched, with more than 650 billion identification registrations, and more than 500,000 enterprises have been served. The National Industrial Internet Big Data Center gathers 1.4 billion industrial data and initially builds an industrial model corpus. There are more than 340 industrial Internet platforms with certain influence, and the number of industrial equipment connections on key platforms exceeds 100 million (sets). There are about 4 million cloud-based platforms in the country, providing more visual and refined innovative means for economic operation and government governance.

  Xie Cun revealed that the Ministry of Industry and Information Technology will accelerate the issuance of guiding opinions on promoting the high-quality development of the industrial Internet, create an upgraded version of "5G+Industrial Internet", implement the three-year "interconnection" action for identification and the high-quality action for industrial Internet platforms, improve the basic system of industrial data circulation and market-oriented allocation mechanism, and deepen security classification and hierarchical management.

  At the same time, we pay more attention to expanding scale applications. Implement the "chain network collaboration" project, publish integrated application guidelines for key industries such as ships, petrochemicals, automobiles, and textiles, and select typical application cases and excellent solutions in a classified manner. Promote the construction of pilot cities and 5G factories for the integrated application of "5G+Industrial Internet" with high level and high standards, carry out the "Hundred Cities and Thousand Parks Tour" activities in depth, and accelerate the industrial Internet into parks, bases and clusters.

[Editor in charge: Zheng Wei]