China's manufacturing industry accelerates "Dingxin reform" (Rui Finance)

  On December 28, eight departments including the Ministry of Industry and Information Technology and the National Development and Reform Commission formally issued the "Fourteenth Five-Year Plan for Intelligent Manufacturing Development" (hereinafter referred to as the "Plan") to implement in-depth smart manufacturing projects and focus on improving innovation capabilities and supply Detailed deployment of capabilities, support capabilities, and application levels.

The relevant person in charge of the Ministry of Industry and Information Technology stated that it is necessary to unswervingly focus on intelligent manufacturing, promote industrial technological transformation and optimization and upgrade, promote the fundamental transformation of the manufacturing industry model and corporate form, and use "innovation" to drive "revolution". "Promote China's manufacturing industry to move towards the mid-to-high end of the global value chain.

  Improve the adaptability of the supply system

  Data shows that since the "13th Five-Year Plan", China's smart manufacturing development has made great progress: supply capacity has been continuously improved, the market satisfaction rate of smart manufacturing equipment has exceeded 50%, and there are more than 40 system solution providers with main business income exceeding 1 billion yuan. Home; cultivate nearly 80 industrial Internet platforms with industry and regional influence; the production efficiency of pilot demonstration projects has increased by an average of 45%, the product development cycle has been shortened by an average of 35%, and the rate of defective products has been reduced by an average of 35%...

  “At present, a new round of global technological revolution and industrial transformation is advancing by leaps and bounds, and it has formed a historic intersection with my country’s accelerating transformation of the economic Accelerating the integration of technologies provides important historical opportunities for the high-end, intelligent, and green development of the manufacturing industry; on the other hand, my country is in a period of tackling key problems in transforming the development mode, optimizing the economic structure, and transforming growth momentum, and the development of the manufacturing industry is facing supply The lack of adaptability to market demand, challenges to the stability of the supply chain of the industrial chain, and tightening of resource and environmental constraints are outstanding issues," said Wang Weiming, Director of the Equipment Industry Department I of the Ministry of Industry and Information Technology.

  Wang Weiming said that as the main direction of building a strong manufacturing country, accelerating the development of intelligent manufacturing plays an important role in consolidating the foundation of the real economy, building a modern industrial system, and realizing a new type of industrialization.

Intelligent manufacturing is an important means for the development and expansion of strategic emerging industries and accelerating the formation of a modern industrial system; it is an important tool to improve the adaptability of the supply system and promote the construction of a new development pattern; it is to promote digital industrialization and industrial digitization, and to build a digital China Important way.

  Clarify four key tasks

  The “Planning” proposes that by 2025, most of the manufacturing enterprises above designated size will achieve digital networking, and key industry backbone enterprises will initially apply intelligence; by 2035, manufacturing enterprises above designated size will fully popularize digital networking, and key industry backbone enterprises will basically Realize intelligence.

  According to Wang Hong, deputy director of the Equipment Industry Department I of the Ministry of Industry and Information Technology, the "Plan" clarifies 4 key tasks around the establishment of 4 systems of innovation, application, supply and support:

  One is to accelerate system innovation.

Conquer four key core technologies, including basic technology, advanced process technology, common technology, and artificial intelligence, which are applicable in the industrial field.

Breakthrough in the production process data integration and cross-platform, cross-domain business interconnection, cross-enterprise information interaction and collaborative optimization, intelligent manufacturing system planning and design, simulation optimization four types of system integration technology.

  The second is to deepen the promotion and application.

For example, carry out multi-scenario, full-chain, and multi-level application demonstrations, foster and promote new models and new formats such as intelligent design, network collaborative manufacturing, and large-scale personalized customization, and build smart manufacturing demonstration factories.

  The third is to strengthen independent supply.

For example, vigorously develop basic components and smart devices, general-purpose smart manufacturing equipment, special-purpose smart manufacturing equipment, and new smart manufacturing equipment incorporating new technologies such as digital twins and artificial intelligence.

  The fourth is to consolidate the foundation support.

Such as deepening the standardization of intelligent manufacturing, continuously optimizing the top-level design of standards, speeding up the formulation and revision of basic commonality and key technical standards, and actively carrying out international cooperation in standards.

  Consolidate and strengthen the foundation of the real economy

  70% of the manufacturing enterprises above designated size have basically realized digital networking, built more than 500 smart manufacturing demonstration factories that lead the development of the industry, completed the formulation and revision of more than 200 national and industry standards, and built more than 120 industry and regional influences Industrial Internet platform... The "Plan" lists the specific goals and tasks that need to be completed by 2025.

  According to Li Peigen, director of the National Intelligent Manufacturing Expert Committee and academician of the Chinese Academy of Engineering, the "Plan" focuses on the in-depth integration of new generation information technology and advanced manufacturing technology, and aims to accelerate the construction of an intelligent manufacturing development ecology and continue to promote the digital transformation of manufacturing and network Collaboration and intelligent transformation provide strong support for promoting the high-quality development of the manufacturing industry, accelerating the construction of a manufacturing power, developing the digital economy, and building new advantages in international competition.

  "Intelligence is just a means and a tool. Even the most advanced intelligence needs to be integrated into the manufacturing entity to be effective, otherwise intelligence will only be a castle in the sky. Of course, without the strong support of digital, networked, and intelligent technologies, the quality and efficiency of manufacturing And the core competitiveness is also difficult to greatly improve.” Li Peigen said, the development of intelligent manufacturing must be based on manufacturing, and manufacturing must be based on advanced technology and equipment.

  At present, the integration of digital technologies such as the Internet of Things, big data, and artificial intelligence with the manufacturing industry is accelerating, and the traditional manufacturing industry needs to accelerate digital transformation and intelligent transformation.

To this end, the "Plan" combined the characteristics and differences of various industries, and deployed how to promote smart manufacturing in traditional industries.

These are of great significance for accelerating the development of a modern industrial system and consolidating and strengthening the foundation of the real economy.

Wang Junling