High risk section identification of transmission lines based on historical warning data

The transmission line channel environment is complex, and it is easy to have hidden dangers. Therefore, the power maintenance personnel use a large number of intelligent transportation and inspection equipment and technical means to ensure the safe operation of the power grid, thus accumulating a large number of hidden dangers data. This paper is based on this kind of historical hazard data based on large data analysis of transmission hazard line identification method, after data processing, according to different line number and tower number, through each line, using the dynamic sliding window algorithm from the minimum step iteration until the window of the largest weight and the total ratio exceeds the specified threshold, the data in the window is the line. In this paper, the corresponding model of processing method can realize the transmission line of line identification, based on the dynamic sliding window big data processing means, without data marking, data processing, the automatic process control, can accurately find out a hidden danger of high incidence of line, for intelligent inspection provide auxiliary decision, improve line security.