Prediction of Preventive Maintenance Cycle of Smart Meter Based on Weibull Distribution to Reduce Maintenance Cost

Abstract

Electricity meter enterprises do not have enough understanding of the importance of reliability prediction of smart meters and lack of design and research on the reliability life of smart meters, which leads to difficulties in the maintenance and replacement of electricity meters. Therefore, there is an urgent need for a reliable and effective method to estimate the reliable life and remaining life of smart meters, so as to provide decisionmaking basis for the verification and rotation cycle optimization of batch electric meters, improve user experience and save operation and maintenance costs. According to the operation data of smart meters, firstly, the data are processed by drawing Weibull distribution diagram. The results show that the operation time of smart meters follows Weibull distribution; The two parameter Weibull distribution model is established. The parameters of the two parameter Weibull distribution are determined by the least square method and the fitting effect is verified by the K-S test method; And calculated the preventive maintenance cycle under the minimum maintenance cost. When the regular maintenance cost is 40 yuan and the after-maintenance cost is 300 yuan, the minimum maintenance cost per unit time of smart electricity meter is 0.07539 yuan, and the corresponding operation time is about 915 days.