The research on early-warning methods of tree barriers of transmission lines based on LiDAR data

Abstract

At present, the staff of power sector have to find out the tree barriers mainly by artificial means. This method consumes more manpower and material resources. For this shortage, an automatic method for tree barriers warning is proposed in this paper based on LiDAR. Obtain the classification information of transmission lines and other types of objects in the corridor. Then, simulate the conductor sag and windage yaw under the extreme weather conditions of corresponding line section. In order to improve calculative efficiency, the method clusters the points belonging to tree type into several groups based on DB-Scan. Finally, the early-warning is achieved by calculating the minimum distance between the wires and trees, combined with the tree growth cycle model. In this paper, the method is analyzed in experiments using several groups of data obtained by airborne LiDAR. The result shows that this method is effective to find out the potential danger points of the transmission lines, which will provide references for the activities of transmission line inspection.