Intelligent Identification of Overhead Transmission Line Defects Based on UAV
In order to improve the effect of intelligent recognition,this paper presents an intelligent recognition method of over-head transmission line defects based on UAV.The image information extraction model is established,and the input and output values of the convolution kernel and the activation function are obtained in the image information convolution output structure,and the regression loss function value of the function is also obtained.The overhead transmission line defect identification net-work is generated to obtain the objective function of different sampling points,establish the matrix information of discrete dif-ferential operator,calculate the bilateral fitting error,and match the function value of the feature points.The intelligent identi-fication algorithm of line defects is designed to complete the design of intelligent identification method of overhead transmission line defects.The experimental results show that the design method can obtain the minimum loss value with the least training times,and the minimum loss value is about 0.35.The recognition effect is better,and it has certain application value.
overhead transmission linepower grid equipmenttransmission line defectintelligent identification technologyimage recognition
万方数据
维普
