A new round of changes in the manufacturing industry has begun. In the almost empty workshop, huge robotic arms complete various instructions flexibly and orderly, and driverless transport trolleys calmly transport various items on specific tracks.

A variety of production materials... The entire production base, from the transportation of large trucks to the base to the final delivery of finished products, most of the series of links in this process can be completed by robots.

Machine generation has become a development trend in manufacturing, and the optimal level of machine generation in the future will be intelligent manufacturing.

Manufacturing is the main body of the national economy and an important manifestation of a country's comprehensive strength. With the development of intelligence and networking, intelligent manufacturing has become an important engine that cannot be ignored for the country to improve the overall manufacturing level and demonstrate international competitiveness. With intelligent

Innovation in the industrial field with manufacturing as the main body has become the main front for a new round of competition among countries.

As early as 2012, the United States released the National Advanced Manufacturing Strategic Plan, emphasizing the importance of industrial Internet construction. Germany subsequently proposed Industry 4.0 with the theme of smart factories, smart production, and smart logistics in 2013. In 2015, my country The "Made in China 2025" plan was also proposed, and was subsequently discussed extensively in many meetings, and intelligent manufacturing was listed as a focus of the 14th Five-Year Plan.

Before smart manufacturing, traditional manufacturing mostly used assembly line production methods, which were centralized controlled and produced according to processes. However, the disadvantages were limited communication between people and machines and poor information exchange, which made it impossible to ensure high production efficiency.

, high product quality output.

Smart manufacturing uses a unitized manufacturing production method, with real-time information feedback and two-way communication between technology and R&D, which is more conducive to defining product characteristics according to consumer needs.

In addition, automated procurement reduces production costs and production cycles, and real-time interaction between flexible production and marketing activities enables production to effectively adapt to market changes. If all of this can be implemented, the manufacturing system will undergo unprecedented changes, production efficiency will be greatly improved, and production capacity will be greatly improved.

Greatly liberating.

Achievements and Challenges Since my country proposed intelligent manufacturing in 2015, it has been actively exploring this road.

According to the "2017-2018 China Intelligent Manufacturing Development Annual Report", my country has initially built 208 digital workshops and smart factories, covering 10 major fields and 80 industries, and has initially established an intelligent manufacturing standard system that is in sync with the world.

Among the 44 lighthouse factories around the world, 12 are located in China, and 7 of them are end-to-end lighthouse factories.

It can be seen that my country has achieved considerable results in the field of intelligent manufacturing. Moreover, due to the impact of the COVID-19 epidemic, the competitive advantages of many traditional manufacturing industries have begun to disappear. Production interruptions, supply chain breaks, and resumption of work have changed the development of intelligent manufacturing. It is becoming more urgent, and with the promotion at the national level, the future development prospects of intelligent manufacturing are broad.

But in terms of specific advancement, although it is not too late for my country to become aware of intelligent manufacturing, in the 1950s, some foreign high-end manufacturing industries had already introduced computers into manufacturing factories, and my country’s early research and development of high-precision technologies Not much attention has been paid to it, so in the process of comprehensively developing intelligent manufacturing, core technologies such as industrial software and CNC machine tools have always been monopolized by foreign countries and have become problems that our country needs to overcome urgently.

From a meso level, most companies have encountered various bottlenecks in the development and construction process: some companies mistakenly equate intelligent manufacturing construction with technology and hardware investment, and invested a lot of financial resources to deploy automated production lines, but due to

Insufficient consideration in the early stage has brought more problems, making production more monotonous; some companies have achieved digitization with the help of information technology, but simple data display boards have higher professional requirements for users, although data display boards can present

There are many problems in the production process, but professional engineers must be present in real time to find problems and provide solutions.

Seizing the core key of intelligent systems is "based on the deep integration of new generation information and communication technology and advanced manufacturing technology, which runs through all aspects of manufacturing activities such as design, production, management, and service, and has self-perception, self-learning, self-decision-making, and self-execution

, adaptive and other functions. "According to the definition given by the Ministry of Industry and Information Technology and the Ministry of Finance in the "Intelligent Manufacturing Development Plan (2016-2020)", autonomy or automation is the key to intelligent manufacturing, and the satisfaction of this condition

, is based on the development of data collection, engineering modeling, machine learning and intelligent system architecture. The optimal parameter combination of the production process is generated by intelligent software and then handed over to basic automation for execution.

Therefore, the machine generation is only a part of intelligent manufacturing. Although the automated production line described above is a big step forward than early production and manufacturing, it is still a long way from true intelligent manufacturing. Although digitalization is one step closer to intelligent manufacturing, it is still far away from it.

Still haven't grasped its core key.

In fact, regardless of industrial software and digital manufacturing technology, the real core of intelligent manufacturing lies in intelligent systems.