Segmentation and clearance inspections on overhead transmission powerline corridor based on LiDAR point clouds

doi:10.13474/j.cnki.11-2246.2024.0523

Abstract

Abstract: The point clouds of transmission powerlines collected by UAV equipped light detection and ranging (LiDAR) effectively prompts the efficiency of clearance inspection in powerline patrol. However, there are problems in data processing including low classification performance of large-scene point clouds and low efficiency of clearance detection. A Light-weight Powerline (LP) network for classifying point clouds is investigated based on the practical LiDAR data from typical overhead transmission lines. A quadratic curve function of a simulated center powerline is fitted to represent the multiple powerlines, and the clearance is quickly measured between the center powerline and ground objects according to specifications. Two transmission power lines were applied to check the performance of the proposed method. The mean intersection over union (IoU) of LP network is 0.895 and the testing time is 9.53 s. The running time of measuring the clearance between two transmission towers is less than 1min. On important areas such as crossing other powerlines and railways, the clearance detection also achieved satisfied results. The research results could identify clearance obstacles automatically and accurately, and could provide decision support for powerline inspection.

Key words: powerline patrol, LiDAR, clearance obstacle, LP network, point clouds

CLC Number:

P237

WANG Feiran, HAN Geng, GUO Xinyang, SHI Chaoyang, WANG Jin. Segmentation and clearance inspections on overhead transmission powerline corridor based on LiDAR point clouds[J]. Bulletin of Surveying and Mapping, 2024, 0(5): 133-137.

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