Design And Implementation Of Equipment Management System Based On Failure Prediction

With the continuous improvement of the industrial level,manufacturing equipment is developing in the direction of large-scale,complex,and intelligent,which poses challenges to the existing equipment management mode.The traditional equipment management mode has a low degree of informatization and Incomplete maintenance mechanism,and equipment status data is not well utilized and other issues.Aiming at these problems,a set of equipment management system based on fault prediction has been researched and implemented.It has theoretical research significance and engineering application value for improving the ability level of equipment management and building a digital,informatized,and intelligent equipment management model.The main research work of the paper is as follows:First of all,taking the equipment management mode of auto parts manufacturing enterprises as the research object,aiming at many problems existing in the traditional equipment management mode,and combining with the actual situation,the business requirements of the equipment management system are analyzed.The system requirements are divided into equipment daily management requirements,equipment status monitoring requirements,equipment maintenance and repair requirements,and system management requirements.UML use case diagrams are used to show the system requirements,and each functional requirement of the system is analyzed in detail.Secondly,the equipment failure prediction method is studied.A support vector machine fault prediction model based on particle swarm optimization is designed,and particle swarm optimization is used to optimize the kernel function parameter σand penalty coefficient C in the support vector machine model,The optimal solution obtained from the solution is used in the training and prediction of the data set by the support vector machine modelFinally,design and implement the system according to the requirements of the equipment management system.The design process of the whole system is described in detail,the overall structure of the system and each functional module of the system are designed,and the E-R diagram and table structure of the database are established.The system code is written in Java language,and a set of equipment management system based on fault prediction with high versatility and strong scalability is realized with the help of Spring Boot development framework.