System Design of Valve Failure Prediction with MySQL

In view of the lack of management technology and maintenance record-keeping technology for valve testing, based on the two main aspects of feature extraction and fault prediction, consider the actual situation and fully exploit the objective demand for the system from the actual situation, design a data analysis and maintenance management system for valve testing based on MySQL database, and provide a good platform for testing information record, fault prediction and maintenance of nuclear power valves. The system will provide a good platform and foundation for the test information recording, fault prediction and maintenance of nuclear valves, and provide support and reference for nuclear power equipment management and operation and maintenance. The Tkinter toolkit is a very simple and efficient GUI toolkit for the Python environment. It is compatible and portable, and can run on common operating systems such as Windows and Linux. It has become increasingly popular in recent years. This thesis is based on Python Tkinter as a platform for the design and implementation of a data analysis and maintenance management system for valve testing. The main ideas behind this software are: the system manages the valve test data set, stores and analyses the collected data, saves the analysis results in time, runs and visualizes the analysis results on the interactive side, and protects the users who operate the system with encryption. The system is generally easy to operate and has an attractive and clean interface.