Research And Development Of Operation Status Monitoring System Of Automobile Shell Parts Processing Production Line

With the continuous development of advanced information technologies such as the Internet of Things,artificial intelligence,and big data,industrial transformation has gradually entered a substantive stage.Automobile shell parts are widely used in the field of automobile manufacturing,and they are key parts that have an important impact on automobile operation safety,service life,and operating experience.Automobile shell parts have the characteristics of complicated processing and multiple procedures.The traditional automobile shell parts processing production line can no longer meet the needs of enterprises to enhance their competitiveness.Promoting the intelligent and informatization transformation and upgrading of automotive shell parts processing production lines will help improve the production efficiency and processing quality of automotive shell parts.Therefore,this thesis conducts related research on the monitoring system of the operation status of the processing production line of automobile shell parts.First of all,in view of the characteristics and existing problems of the automobile shell parts processing production line,the demand analysis of the operation status monitoring system of the automobile shell parts processing production line was established,and a basic support layer,physical resource layer,and intelligent perception layer were established.The overall scheme of the monitoring system for the operation status of the automotive shell parts processing production line at the core functional layer and the human-computer interaction layer,and the functional structure of the system is designed.Then,the key technology of the monitoring system of the operation state of the processing production line of automobile shell parts is studied.Aiming at the characteristics of multi-source and heterogeneous information to be monitored at the production site of automobile shell parts,the intelligent sensing technology of automobile shell parts processing production line is studied,and a configurable multi-source heterogeneous data collection scheme is designed.Based on the collected data of the operating status of CNC machine tools,the technology of identifying the operating status of CNC machine tools is studied,and a method for identifying abnormal status of CNC machine tools based on decision trees is given.Based on the collected processing quality data,a data mining algorithm for quality improvement is studied,and a quality prediction method based on Multi-Group Genetic Algorithm(MPGA)and BP neural network is proposed.Finally,on the basis of the above research,combined with the actual construction of a company’s automobile housing parts processing production line,the operation status monitoring system was developed.This system can realize equipment operating status monitoring,processing tool monitoring,processing quality monitoring,equipment abnormality monitoring,processing technology monitoring and other functions.This system has important practical value for improving the processing production efficiency and processing quality of automotive shell parts,and is beneficial to promote the intelligentization of the automotive shell parts industry.