Intelligent manufacturing is a very large and very wide concept. In addition to the manufacturing enterprise itself, it is also closely related to the upstream and downstream enterprises in the supply chain. It includes automation, information technology, intelligent logistics, intelligent computing, and intelligent decision-making.

The intelligent manufacturing reform involves the entire manufacturing industry, and there is no doubt that this is a big market of trillions. The sub-markets are all large blue oceans: China's robot market will reach 600 billion yuan in the next 10 years; it is expected that the Chinese civil aircraft market will reach 11.09 billion yuan in 2018; it is expected that by 2020, China Automated Logistics The market size of the system will exceed 100 billion yuan...

The realization of intelligent manufacturing is a process from manual to semi-automatic to fully automated, ultimately achieving intelligent and flexible production. Intelligent manufacturing combines manufacturing with information technology and Internet technology to realize the interconnection of the entire industry chain in production processes, production management, supply chain systems, and marketing systems.

So how do companies implement their own smart manufacturing reforms? The following ten technologies are all knowledge points:

1. Multi-source multi-channel data real-time acquisition and sensing technology

Multi-source sensor data acquisition is the premise of intelligent sensing in intelligent manufacturing process. It is composed of various sensors (pressure sensor, displacement sensor, visual sensor, etc.) to realize real-time acquisition, analysis and conversion of multi-source and multi-channel distributed data. .

The multi-source sensor data acquisition system includes the following technologies:

(1) Signal conversion technology

(2) Real-time network communication technology

(3) Multi-thread management technology

(4) Data cache pool technology

(5) Black box technology

(6) Information security technology

2. Heterogeneous data content fusion and transmission sharing technology

Through content analysis and fusion processing of various heterogeneous computing data, mining hidden information and effective data from massive data, and improving the accuracy of various equipment state monitoring in the intelligent manufacturing process.

Heterogeneous data includes: massive multimedia sensor data, text/hypertext, sound data, image data, video sequences, and so on.

3. Multi-task adaptive collaboration technology for complex working conditions

The realization of intelligent manufacturing often needs to be able to analyze the current working environment and task requirements independently, realize multi-task adaptive collaborative planning, and adaptively adjust the operating strategy according to different task difficulty.

Multiple operating conditions include the following (taking excavation as an example):

(1) commonly used, mining shape rules, and often use this function

(2) special, mining shape rules, but not often used

(3) Autonomous mark, mining shape is irregular, but often used

(4) Highly customized, highly dependent on driving experience

4. Multi-machine coordinated clustering interaction and control technology

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