Artificial intelligence production line control method

Abstract

The invention relates to an artificial intelligent (AI) production line control method. The method includes data cloud establishing, data analysis and feedback closed loop forming, so that an artificial feedback closed loop is finally quantized into SPC and converted to an automatic feedback closed loop. The automatic feedback closed loop may be improved along with time so as to form a positive cycle, so that AI is optimized and iterated continuously. Finally, a mature production line can be controlled completely through AI and all problems can be solved in a preventive manner. According to the invention, online storage of data replaces offline storage and hidden problems are handled automatically through AI; data analysis replaces manual experiments for searching problems. Explicit problems are prevented automatically and an SPC analyzing method prevents abnormities of different working procedures. Therefore, problems of inaccuracy of materials of corresponding working procedures of the production line, insufficient data utilization rate, incapability of predication of explicit problems of different working procedures of the production line, incompleteness of troubleshooting levelof hidden problems of the production line are solved, and aims of saving production cost and improving troubleshooting efficiency are achieved.

Description

technical field [0001] The invention relates to the technical field of manufacturing production, in particular to an artificial intelligence production line control method. Background technique [0002] At present, due to the continuous popularization and deepening of the Industry 4.0 reform, the automation of many manufacturing production lines is getting higher and higher, and some even implement unmanned production. It is not surprising that each process is equipped with multiple machines for production, and the material information is complex and changeable. At the same time, there are more and more offline data produced by each machine. [0003] Under normal circumstances, there are two types of problem handling corresponding to the production line: explicit problems and hidden problems. The dominant problems are mainly for the obvious abnormalities in the raw materials, equipment and processes of each process (such as abnormal stop of equipment and process control poin...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: In order to overcome the deficiencies in the prior art, the present invention provides an artificial intelligence production line control method to solve the problem of inaccurate materials in the corresponding process of the production line, low data utilization rate, and dominance to each process of the production line. There is no ability to predict problems, the hidden problems of the production line are not thoroughly checked, etc., to achieve the purpose of saving production costs and improving the efficiency of problem troubleshooting

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