Intelligent manufacturing stems from the study of artificial intelligence.

Intelligent Manufacturing

It is generally believed that intelligence is the sum of knowledge and intelligence. The former is the basis of intelligence, and the latter refers to the ability to acquire and apply knowledge.

Smart manufacturing should include smart manufacturing technology and intelligent manufacturing systems.

Intelligent manufacturing systems not only continue to enrich the knowledge base in practice, but also have self-learning capabilities.

There is also the ability to collect and understand environmental information and its own information, and to analyze and judge and plan its own behavior.

Overview

Intelligent Manufacturing (IM) is a human-machine integrated intelligent system composed of intelligent machines and human experts.

It enables intelligent activities such as analysis, reasoning, judgment, conception and decision making during the manufacturing process.

Through the cooperation of humans and intelligent machines, we will expand, extend and partially replace the mental work of human experts in the manufacturing process.

It extends the concept of manufacturing automation to be flexible, intelligent and highly integrated.

When talking about smart manufacturing, we should first introduce the international cooperation research plan of “Intelligent Manufacturing System IMS” advocated by Japan in April 1990.

Many developed countries such as the United States, the European Community, Canada, and Australia have participated in the program.

The plan plans to invest $1 billion to implement a pre-scientific research plan for 100 projects.

There is no doubt that intelligence is the direction of manufacturing automation.

Artificial intelligence technology is widely used in all aspects of the manufacturing process.

Expert system technology can be used for engineering design, process design, production scheduling, fault diagnosis, etc.

Advanced computer intelligence methods such as neural networks and fuzzy control techniques can also be applied to product formulations, production scheduling, etc., to achieve intelligent manufacturing processes.

Artificial intelligence technology is especially suitable for solving particularly complex and uncertain problems.

But it is also obvious that it is necessary to realize all intelligence in the whole process of enterprise manufacturing, if not completely impossible, at least in the distant future.

Some people even ask such questions, will intelligent automation be realized in the next century?

And if it is only intelligent in a certain part of the enterprise, but can not guarantee the overall optimization, the significance of this intelligence is limited.

On September 10, 2015, the Ministry of Industry and Information Technology announced the list of 2015 smart manufacturing pilot demonstration projects, and 46 projects were shortlisted.

Intelligent manufacturing has increasingly become a major trend and core content of the future development of the manufacturing industry. It is also an important measure to accelerate the transformation of the development mode and promote the industry to move toward the middle and high-end and build a manufacturing power.

It is also an inevitable choice to create a new international competitive advantage under the new normal.

Promoting smart manufacturing is a complex and huge system engineering, and it is also a new thing.

This requires a process of continuous exploration and trial and error, which is difficult to achieve overnight, and can not be rushed for success.