Design And Implementation Of Industrial Internet Equipment Management System

With the rapid development of the industrial Internet and the modernization of the manufacturing industry,the equipment assets of manufacturing enterprises have been continuously expanded,and the proportion of modern equipment has been increasing.However,the traditional equipment management concepts and systems seriously restrict the improvement of the production efficiency of enterprises,and cannot meet the new demands of today’s information-based and intelligent equipment management.Therefore,the design and implementation of an industrial Internet equipment management system is of great significance for changing the traditional equipment management methods,improving production efficiency and ensuring product quality.This thesis is based on the application scenario of the representative of the information and electronics manufacturing industry—SMT production line.Aiming at the problem that most of the equipment adopts post-event maintenance and lacks intelligent early warning methods,a BP neural network based on genetic algorithm optimization is proposed to realize the prediction of equipment failure rate.The effect of early warning maintenance is verified by experiments.In addition,this thesis conducted a year-long on-the-spot investigation and development of the SMT production line,analyzed and summarized the problems and actual needs in the enterprise equipment management,and used UML use case diagrams and flow charts to analyze the system requirements.According to the overall design of the system architecture,the technology selection is carried out,and the industrial Internet equipment management system is realized based on this design.The system has now been deployed and has been running stably for two months after completing six months of field testing.This thesis first expounds the background and research significance of equipment management,and analyzes the development process of equipment management theory and the development status of MES system.Then,a comprehensive demand analysis is carried out for the industrial Internet equipment management system.Aiming at the fault early warning requirements,a GA-BP-based fault rate prediction model is proposed and verified by experiments.At the same time,considering the current functional requirements of the system and the future scalability,the overall system architecture based on the Spring Cloud microservice framework is designed,the design and implementation of the core functional modules of the system are explained in detail,and the key implementation classes and interfaces are carried out.Detailed description.Finally,the system is deployed and tested in the field,summarizing all the work of this thesis,and prospecting its shortcomings.