Application Algorithm of Equipment Alarm Data in Power Network Direct Acquisition Data Analysis System

This paper has presented an idea of using equipment alarm data to support relevant departments find easy-to-fault point. According to the information, make next year's equipment update and maintenance plan. The easy-to-fault point could also help with training and equipment design use. The system assisted people to make decision on which part of power grid system to make further investment. In this way, the power system would grow stronger with limited investment. Firstly, coded information according to the characteristics of power system regulation to prepare for data extraction from the Bayesian model. Secondly, in order to solve the problem of accuracy and reliability, the Bayesian model was adopted to calculate the accuracy rate.