Research on Condition Monitoring Technology of Automobile Parts Intelligent Production Line Based on Cyber Physical System

Abstract

Cyber physical system (CPS) of production line is an important technical support to realize the intelligent transformation of manufacturing industry. Therefore, this paper analyzes the application of CPS in the production line, and analyzes its modeling method in the production line; on this basis, the production line state signal analysis technology based on signal processing and deep learning algorithm is studied, which improves the quality of production line state monitoring. Based on the above analysis, this paper constructs the condition monitoring system framework of automobile parts production line based on CPS hybrid modeling, which overcomes the shortcomings of the traditional monitoring system and improves the analysis and decision-making ability of the system; In order to test the effectiveness of the framework, taking the spindle and bearing data in the automobile parts intelligent production line as an example, this paper compares the relevant algorithms, constructs a monitoring system based on the CPS framework, tests the effectiveness of the CPS framework in the condition monitoring of the intelligent production line, and proves that the framework can be popularized in the intelligent production line.