Dynamic Identification Method of Transmission Line Defects Based On Moving Edge Calculation

The conventional identification method has the problem of imperfect identification mode, resulting in excessive momentum attenuation. A dynamic identification method of transmission line defects based on moving edge calculation is designed. The least square linear regression method is used to fit the data, obtain the multi-objective task data set, identify the defective arc, extract the arc fault characteristics, superimpose the original change law, detect the defect type of transmission line, forward the request to the edge server in the adjacent area, and set the dynamic identification mode by using the mobile edge calculation. Experimental results: the average momentum attenuation values of the transmission line defect dynamic identification method designed in this paper and the other two identification methods are 0.0141, 0.0192 and 0.0205, which proves that the identification method integrating moving edge computing technology has higher performance.