Evaluation For The Operation And Maintenance Quality Of Electricity Information Acquisition System

The accuracy of data acquisition is the key to measure the operation and maintenance quality of electricity information acquisition system. An evaluation method for the acquisition system is established in this paper, which covers the arrangement of main station, the operation condition of smart meter, maintenance strategy and other indicators. Analytic Hierarchy Process is adopted to determine the weight of each single indicator. It is concluded that the key factor affecting the accuracy of acquisition is the normal operation of smart meters. Therefore, it is necessary to evaluate the smart meters and the back propagation neural network is employed as assessment method. The training samples are obtained according to the corresponding relationship between fault symptoms and fault types. Through the self-learning process of training network, the model is developed, and the correctness is verified by simulation with test samples, which shows that this method can determine the fault type quickly and accurately, realize the related evaluation, and improve the quality and efficiency of operation and maintenance.