Method and system for predicting residual life of intelligent electric meter, electronic equipment and medium

• Main Authors: LIU QING, YU XUEJUN, ZHU YIQUN, TENG YONGXING, WANG ZINAN, LIU CHUNYU, SUN SHUXIAN, HE ZEHAO, TIAN XINYI, HE HAIHANG
• Format: Patent
• Language: Chinese; English
• Published: 05.01.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TESTING

The invention provides a method and system for predicting the residual life of an intelligent electric meter, electronic equipment and a medium, is suitable for the technical field of intelligent electric meters, and can improve the accuracy of predicting the residual life and fault probability of the intelligent electric meter. The method comprises the following steps: according to characteristic values of a correlation coefficient matrix of application environment data, factory verification data and real-time monitoring data of the intelligent electric meter, determining an accumulated contribution rate of each piece of correlation data of the intelligent electric meter and a main parameter sequence influencing the residual life of the intelligent electric meter, and inputting the main parameter sequence into a transformation neural network and a back propagation neural network, training a model for predicting the residual life of the intelligent electric meter, and obtaining a residual life prediction valu