【摘要】 针对输电线路断股会影响到输电网络安全运行这一问题,提出一种无人机电力巡检中的输电线路断股检测与定位方法。先对无人机巡检所得图像进行灰度化处理,使用改进的Canny边缘检测算法和Hough算法提取边缘直线;遍历直线上的像素点,通过边缘跟踪算法找到输电线路候选断股区域;最后利用断股与直线的夹角来判决输电线路是否发生故障。实验证明,所提方法对输电线路断股检测与定位有较好的鲁棒性与准确率,在无人机电力巡检领域具有一定的工程应用价值。更多还原

【Abstract】 Aiming at the problem that the broken-strand transmission line will affect the safe operation of the transmission network,a method for detecting and locating the broken-strand transmission line in the unmanned aerial vehicle( UAV) power inspection is proposed. Firstly,the gray-scale processing is performed on the image obtained by the UAV inspection,and the edge straight lines are extracted by using the improved Canny edge detection algorithm and Hough algorithm. Then,through traversing the pixel points on the straight line,the candidate broken-strand area of transmission line is found through edge tracking algorithm. Finally,the angle between the broken-strand line and the straight line is used to determine whether the transmission line is faulty. The experiment proves that the proposed method has good robustness and accuracy for the detection and location of broken-strand transmission lines,and has a certain engineering application value in the field of UAV power inspection.更多还原