Measurement of Transmission Line Sag Based on Video Image

J. Zhang, Nailong Zhang, Cang Bai, Xiao Tan, Qiwen. Wu, Peilin Gong
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Abstract

The sag and the distance to the ground of transmission lines are the main indicators of the line design and operation, and the accurate measurement of the two indicators is extremely important for the safe operation of line. Combining image processing and photogrammetry technology, a new transmission line sag measurement method is proposed in this research. The unmanned aerial vehicle (UAV)-based data acquisition system was used to take multiple on-site images from the same transmission line at different shooting positions and angles. The image segmentation algorithm combining smoothing filtering, edge detection and boundary tracking was used to identify the sag feature points in the images. The stereo image pair forward intersection algorithm was used to derive the actual coordinate value of the corresponding sag point. Then, the accurate measurement of the transmission line sag and the distance to the ground was achieved. Compared with the actual measurement results of the on-site laser rangefinder, the average error of the new measurement method was less than 1.3%, and the maximum error was less than 2.8%, indicating that the proposed method was correct and effective and could meet the needs of practical applications.
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基于视频图像的输电线路垂度测量
输电线路的垂度和离地距离是线路设计和运行的主要指标,这两个指标的准确测量对线路的安全运行极为重要。本研究将图像处理技术与摄影测量技术相结合,提出了一种新的输电线路垂度测量方法。采用基于无人机的数据采集系统,从同一条传输线不同拍摄位置和角度拍摄多幅现场图像。将平滑滤波、边缘检测和边界跟踪相结合的图像分割算法用于识别图像中的凹陷特征点。采用立体图像对前向交会算法,推导出相应凹陷点的实际坐标值。在此基础上,实现了输电线路垂度和离地距离的精确测量。与现场激光测距仪的实际测量结果相比,新测量方法的平均误差小于1.3%,最大误差小于2.8%,表明该方法正确有效,能够满足实际应用的需要。
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