Foreign object recognition method of transmission line based on improved outlier rate method

Abstract

Foreign matters hanging on the transmission line can be regarded as a potential risk of the transmission system, which will not only affect the normal power supply of the transmission line, but also pose a greater threat to pedestrians and vehicles under the line. Aiming at the low efficiency and high false detection rate of traditional foreign object recognition methods for hanging foreign objects, this paper proposes a foreign object recognition method for transmission lines based on improved outlier rate method. It proposes to use Hough line transformation to extract the transmission line, and then conduct convolution operation on the area where the transmission line is located and the non-transmission line area, and set the corresponding outlier rate in combination with the actual error to identify the foreign matters in the transmission line.