Academician Ding Han of the Chinese Academy of Sciences: Two core technologies for intelligent manufacturing

Now is a very critical phase, the transition phase. Then at this stage, I feel more challenging. There are more problems facing. We have experienced everything from scratch to small, but how to solve the problem from big to strong, this mission is very difficult, and the time spent will be long, and the mentality needs to be more peaceful.

The development of China's manufacturing industry is uneven. In the same period, it is characterized by large-scale, digitized, and intelligent parallelization. Some enterprises have higher levels of industry, and may have reached some digitization and intelligence. However, some enterprises are still at a lower level, manual operation stage.

In this process, how can we drive innovation and drive development? I feel that we must solve the problem of product innovation on the one hand. Because product innovation is the leader, manufacturing, including robotics is a guarantee. Therefore, product innovation should be the leader of an industry. A product can drive an industry, and product model innovation is also very important.

However, the entire innovation capability and key technologies of our country are far from the developed countries. However, our country attaches great importance to this aspect. The State Council has issued the China Manufacturing 2025 Plan to refer China's manufacturing to the national strategic height. Therefore, the transformation and upgrading of manufacturing industries and the manufacturing of powers are the inevitable choices for China in the future.

The 2025 core made in China is based on intelligent manufacturing. The so-called industrial intelligence will be a bit longer. Smarter is more closely related to sensing technology, information technology, artificial intelligence technology, and big data technology. Therefore, intelligent technology faces more challenges, and each enterprise has different characteristics. It is not necessary to achieve intelligence. I don't think it's important to realize what is achieved. The most important thing is to make the quality of the products go up, the efficiency to get up, and how to win the market.

It is more important to gain a foothold in the market, but in some of the changing characteristics of the industry, the cycle changes very quickly and must be driven. Through the current informationization means, the performance of the equipment can be adapted, and at the same time, its process knowledge is continuously accumulated. A very important feature of the manufacturing industry is the long-term accumulation, and the accumulation of process knowledge is very important. Rather than saying that buying a few robots and buying a few pieces of equipment is intelligent.

The development of intelligent manufacturing should be accumulated. I think that intelligent manufacturing should benefit from digitalization at the earliest. This is a foundation. It is empty talk to leave the digitalization.

Where is the core technology of intelligent manufacturing?

The core of intelligent manufacturing is these technologies. One is digital manufacturing technology. Digitalization means that there must be a model for manufacturing, and there are guidelines. This includes product design, innovative design and numerical control technology, as well as product management and enterprise collaboration technology. There are many problems involved in this aspect. There are many aspects involved, which are the basis of digital manufacturing. Leaving the digitization is simply not intelligent.


Figure 1: Academician Ding Han of the Chinese Academy of Sciences

The second technology is sensing, the more sensors are used in the enterprise, the more information is mastered. There may be a variety of, embedded, absolute, relative, static, and dynamic, this sensor supports our important means of obtaining information. Can be flexibly configured, the change is very convenient, unlike the machine is stupid and stupid. The technology of the fleet is a very important part of smart manufacturing.

Today, since the first robot was born in 1959, robots have played an extremely important role in national service and manufacturing. The largest application of industrial robots is in the automotive field, and the largest robots for automobiles. Now slowly expand the elderly care, safety, space exploration. It plays an important role in all walks of life and is an irreplaceable role.

However, at present, all aspects of robots have poor perceptual capabilities and can only work in a structured environment. Our human-machine cooperation is a simple task. We talk about the many interactions of special robots that are far from meeting our requirements. Today's robots The technology, its function and practicality are far from the human desire, so we need to work hard for generations, and the progress of other disciplines jointly promote the development of robots, so the expectations of robots can not be too high. . Advanced robots and the robots we expect should be very different. Robots should be a new growth point, and the Davos Forum is also talking about a new industrial revolution, with McKinsey to robots bringing in trillions of dollars.

This is the advanced nature of the robot can be seen. Countries around the world are developing plans for robots, and the EU is concerned with the application of robot manufacturing. The world's largest robot market is in China. General Assembly of General Secretary Xi Jinping proposed to raise the level of robots and occupy as many markets as possible. Our robots have encountered very good opportunities, but it takes a long time to get the level up. Through our level, we can occupy the market, but with China manufacturing 2025, robots are welcoming very good opportunities. With the development of robots, the earliest is the simple application of simulating the life body, slowly simulating the intelligent autonomous decision of the living body. Now the robot is doing more simulation intelligence, simulating the whole group intelligence.

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