What are the policies, plans and measures for implementing intelligent manufacturing in China?

Interpretation of Chongqing's local policy and development goal of intelligent manufacturing: strive to exceed 40 billion yuan in the output value of intelligent manufacturing-related industries in 2022. Recently, Chongqing released an implementation plan for developing intelligent manufacturing, which clarified Chongqing's objectives and tasks in intelligent manufacturing.

Strive to make great progress in intelligent manufacturing in the city by 2020, push 2,500 enterprises to implement intelligent transformation, build 5 industrial Internet platforms, 20 smart factories and 200 digital workshops with strong domestic competitiveness, build 10 industry-level intelligent manufacturing benchmark enterprises and build 5 intelligent manufacturing demonstration parks. More than 68% of industrial enterprises have entered the digital manufacturing stage. More than 52% of industrial enterprises have entered the digital networked manufacturing stage, and the development level index of "industrialization and modernization" has reached 58. The output value of intelligent manufacturing related industries exceeded 30 billion yuan, and the intelligent transformation of key industries with conditions and foundations such as automobiles, electronics and equipment achieved remarkable results.

By 2022, the city's intelligent manufacturing will further develop, and a total of 5,000 enterprises will be promoted to implement intelligent transformation, and 10 industrial Internet platforms with strong domestic competitiveness will be built. More than 84% of large industrial enterprises have entered the digital manufacturing stage, and more than 64% of large industrial enterprises have entered the digital networked manufacturing stage. The development level index of "industrialization and modernization" reached 62, and the output value of intelligent manufacturing related industries exceeded 40 billion yuan.

Shandong: Accelerate the intelligent transformation of enterprises According to the plan, by 2022, key areas of traditional manufacturing in Shandong will basically realize digital manufacturing, and key industries and key enterprises with good conditions and foundations will basically realize intelligent transformation.

By 2022, the penetration rate of digital R&D design tools in traditional industrial enterprises in Shandong Province will reach more than 72%, the numerical control rate of key processes in industrial enterprises above designated size will reach more than 57%, and the number of robots per 10,000 people will reach more than 200. The level of digitalization and intelligence of manufacturing industry in Shandong Province is in the forefront in China. Before and after the implementation of the pilot demonstration project of intelligent manufacturing, the operating cost of enterprises was reduced by 20%, the product development cycle was shortened by 20%, the production efficiency was increased by 20%, the energy utilization rate was increased by 13%, and the defective rate was greatly reduced.

Anhui: A new generation of artificial intelligence industry development plan By 2020, the development environment and infrastructure of artificial intelligence will be continuously improved, and the key frontier theories and application technologies will be significantly improved. A number of outstanding enterprises have emerged in key areas such as product intelligence, industrial intelligence and service intelligence, and a group of high-level leading talents and innovative teams have gathered to form characteristic applications in artificial intelligence platforms, intelligent industrial robots, smart home appliances and intelligent equipment manufacturing. The scale of artificial intelligence industry exceeded 654.38+05 billion yuan, driving the scale of related industries to reach 654.38+00 billion yuan.

Medium-term goal. By 2025, key frontier theories and applied technologies will make breakthroughs in some fields, and related technologies will be widely used in intelligent agriculture, intelligent manufacturing, intelligent medical care, smart cities and other fields, and competitive advantages will be established in intelligent unmanned equipment, service robots and other fields, and a number of artificial intelligence enterprises and talent teams with international advanced level will be cultivated. The scale of artificial intelligence industry reached 50 billion yuan, driving the scale of related industries to reach 450 billion yuan.

Guangdong: By 2025, the manufacturing industry will fully enter the intelligent manufacturing stage. By 2025, the comprehensive strength and sustainable development ability of Guangdong manufacturing industry will be significantly enhanced, and its position in the global industrial chain and value chain will be significantly improved. Build the whole province into a national intelligent manufacturing development demonstration leading area and an internationally competitive intelligent manufacturing industrial cluster.

By 2025, the province's manufacturing industry will fully enter the stage of intelligent manufacturing, and a strong manufacturing province will be basically completed. The level of manufacturing industry has improved significantly, and the labor productivity of all employees in industries above designated size has increased to 250,000 yuan/person. The ability of independent innovation has been significantly improved. The R&D investment of industrial enterprises above designated size accounts for more than 1.7% of the main business income, and the supporting capacity of safe and controllable intelligent technology products and information service capacity have been significantly enhanced. Informatization and industrialization are deeply integrated, and the integrated application of information technology in industrial enterprises above designated size has reached the domestic leading level, and the quality competitiveness index of manufacturing industry has reached 86.5. The international status of backbone enterprises is prominent. A number of industrial enterprises with annual main business income exceeding 654.38+00 billion yuan and 654.38+00 billion yuan have been cultivated, and a number of international enterprises with core key technologies, independent brands and high-level division of labor have emerged. The international market share of technologies, products and services with independent intellectual property rights has been greatly improved, and a national intelligent manufacturing development demonstration and leading zone and an internationally competitive intelligent manufacturing industrial cluster have been built.

Shanghai: The transformation and upgrading development plan of manufacturing industry thoroughly implements the construction strategy of manufacturing power and global science and technology innovation center and the structural reform and deployment of supply side, takes intelligent manufacturing as the main direction of the transformation from "Made in Shanghai" to "Made in Shanghai", implements the "100,000" project of intelligent manufacturing application, adheres to the application traction, soft and hard cooperation, classified policies and government guidance, vigorously promotes the new mode of intelligent manufacturing application, and establishes a new mechanism of intelligent manufacturing application. By 2020,

Jiangsu: 1 0,000 intelligent workshops will be built in 2020. Recently, in order to accelerate the deep integration of Internet, big data, artificial intelligence and real economy and promote the high-quality development of industrial economy, Jiangsu Province issued the Opinions on Further Accelerating the Development of Intelligent Manufacturing. By 2020, the province will build 1000 intelligent workshops, create about 50 provincial-level intelligent manufacturing demonstration factories, and pilot 10 provincial-level intelligent manufacturing demonstration zones.

The "Opinions" require that the construction of leading service organizations should be strengthened, and the professional service level of intelligent manufacturing should be further improved-system solution suppliers should be cultivated and expanded. By 2020, there will be about 100 domestic influential localized and branded leading intelligent manufacturing service organizations in Jiangsu Province.

20 19 Ten Development Trends of Intelligent Manufacturing 0 1

Safety in production will become the top priority.

When intelligent manufacturing integrates many cutting-edge technologies such as robots and artificial intelligence, accidents that can be controlled in time seem to become simple. However, with the increase of equipment, how to effectively manage the security of human-computer interaction is one of the key points.

In addition, after the industrial Internet of Things enters the manufacturing industry, data attacks of the industrial Internet of Things often occur, so the security of equipment, products and other data of enterprises is particularly important.

02

The intelligent manufacturing industry will further expand.

The application of intelligent manufacturing in automobile industry and 3C electronics is gradually deepening. When enterprises begin to realize that intelligent manufacturing is an important direction to realize Made in China 2025, digitalization, networking and intelligence can continuously optimize the output value and efficiency of enterprises, and intelligent manufacturing will further penetrate petrochemical, textile and machinery industries.

03

General technology may become the breakthrough of AI+

With the development of customized flexible manufacturing and multi-scene production, general technology can no longer meet the production needs. For the traditional industries of AI empowerment, these needs can be easily solved.

With the accumulation of big data, enterprises can use AI to realize the rapid transformation of professional scenes and truly realize the transformation from manufacturing to "intelligence".

04

Digital twin technology may rise.

Digital twin technology will become the first choice for enterprises to upgrade digitally and build smart factories. Through these technologies, automobile enterprises can solve the problems of complex production process and waste of resources in R&D process, and make digital models at lower cost.

By reducing costs, the sales volume of the automobile industry can be expected next year. At the same time, the introduction of digital twin technology in 3C field can also promote the development of the industry.

It is estimated that by 2020, at least 50% of the manufacturers whose annual income exceeds 654.38 billion yuan will start at least one digital twin project for their products or assets.

05

Create a closed loop of accurate big data

In recent years, industrial big data has begun to be valued by enterprises. Using big data can tap hidden customer value and help enterprises complete the transformation of limited customer demand, production system, business model and decision-making model. Big data can help enterprises achieve 1 from 0, then 1 to N, and 1 from N (personalization).

To realize this model, enterprises need to build an accurate closed-loop data flow from collection, analysis, transformation and feedback.

06

More Internet companies are entering smart manufacturing.

Internet companies have made initial progress in the industrial field, namely "Internet plus intelligent manufacturing". Alibaba Cloud cooperated with Siemens and announced its formal entry into the industrial Internet of Things. At the same time, both Baidu Smart Factory and JD.COM Smart Supply Chain are building their own smart manufacturing industries.

Internet companies have long-term data accumulation and technical advantages. After entering the industrial field, they can bring more technical application scenarios to traditional manufacturing enterprises and accelerate the transformation of enterprise intelligent manufacturing.

07

User demand will guide enterprise transformation.

The process of industrial development is from enterprise products to user demand, and then to user demand leading enterprise production. Intelligent manufacturing will change the traditional manufacturing from the production link to reduce costs and increase efficiency, and then turn to providing high value-added derivative services, and realize the added value improvement from providing intelligent products to intelligent services.

08

The industry-level industrial Internet platform has matured.

Due to the limited depth of the general industry platform and the mismatch between market supply and demand, enterprises are reluctant to go to the cloud and have not yet explored a mature market-oriented model.

Due to its dual characteristics of concentration and universality, the industrial Internet platform is expected to take the lead in exploring a feasible market-oriented business model in the face of different needs of the intelligent manufacturing industry.

09

Focus on sub-sectors such as intelligent manufacturing solutions.

Due to the late start of domestic intelligent manufacturing, the biggest problems faced by enterprises are the excavation and training of talents and the pressure of funds. If we cut into intelligent manufacturing from several development directions, perhaps only large enterprises can afford it.

Small and medium-sized enterprises are expected to become unicorns by deep cultivation in sub-sectors such as intelligent manufacturing systems.

10

Opportunities in the field of ultra-high value-added manufacturing

Additive manufacturing technology has no cost advantage in desktop application and large-scale scene with simple technology, while the ultra-high value-added and ultra-large customized single product manufacturing field represented by engines, blades and submarine propellers may bring opportunities to additive manufacturing in 20 19 industrial field.