UAV Low Altitude Photogrammetry for Power Line Inspection
UAV Low Altitude Photogrammetry for Power Line Inspection
复制标题
无人机低空摄影测量用于电力线路巡检
DOI：
10.3390/ijgi6010014
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发表时间：
2017-01-01
影响因子：
3.4
通讯作者：
Chen, Shiyu
中科院分区：
文献类型：
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作者：
Zhang, Yong;Yuan, Xiuxiao;Chen, Shiyu
当障碍物与电力线之间的距离小于放电距离时，可产生放电电弧，导致电力供应中断。因此，定期进行安全检查是确保电网安全运行的必要条件。高大植被和建筑物是影响超高压输电线路走廊安全运行的主要因素。基于手动或激光强度方向和测距（LiDAR）的检测既耗时又昂贵。为了使安全检查更加有效和灵活，一个低空无人机（UAV）遥感平台，配备了光学数码相机，用于检查电力线走廊。提出了一种基于极线约束的半块匹配算法，利用相关系数及其曲线形状提取电力线走廊三维点云。我们使用一个立体图像对从带间电力线的方向转换到近似垂直于核线，以提高电力线测量精度。以输电线路与三维点云之间的距离为判据，自动定位输电线路走廊内的障碍物。实验结果表明，该方法具有可靠性高、成本低、适用性强等优点，能够准确定位输电线路走廊内的障碍物，定位精度优于± 0. 5 m。
When the distance between an obstacle and a power line is less than the discharge distance, a discharge arc can be generated, resulting in the interruption of power supplies. Therefore, regular safety inspections are necessary to ensure the safe operation of power grids. Tall vegetation and buildings are the key factors threatening the safe operation of extra high voltage transmission lines within a power line corridor. Manual or laser intensity direction and ranging (LiDAR) based inspections are time consuming and expensive. To make safety inspections more efficient and flexible, a low-altitude unmanned aerial vehicle (UAV) remote-sensing platform, equipped with an optical digital camera, was used to inspect power line corridors. We propose a semi-patch matching algorithm based on epipolar constraints, using both the correlation coefficient (CC) and the shape of its curve to extract three dimensional (3D) point clouds for a power line corridor. We use a stereo image pair from inter-strip to improve power line measurement accuracy by transforming the power line direction to an approximately perpendicular to epipolar line. The distance between the power lines and the 3D point cloud is taken as a criterion for locating obstacles within the power line corridor automatically. Experimental results show that our proposed method is a reliable, cost effective, and applicable way for practical power line inspection and can locate obstacles within the power line corridor with accuracy better than ±0.5 m.