Characterization and modeling of power line corridor elements from LiDAR point clouds

2019 ◽  
Vol 152 ◽  
pp. 24-33 ◽  
Author(s):  
Sebastián Ortega ◽  
Agustín Trujillo ◽  
José Miguel Santana ◽  
José Pablo Suárez ◽  
Jaisiel Santana
Keyword(s):  
Point Clouds ◽  
Power Line ◽  
Power Line Corridor

UAV Low Altitude Photogrammetry for Power Line Inspection

2016 ◽  
Author(s):  
Yong Zhang ◽  
Xiuxiao Yuan ◽  
Yi Fang ◽  
Shiyu Chen
Keyword(s):  
Transmission Lines ◽  
Three Dimensional ◽  
Digital Camera ◽  
Point Clouds ◽  
Power Line ◽  
Epipolar Line ◽  
3D Point Clouds ◽  
Low Altitude ◽  
Power Line Corridor ◽  
Safety Inspections

When the distance between an obstacle and a power line is less than the discharge distance, a discharge arc can be generated, resulting in interruption of power supplies. Therefore, regular safety inspections are necessary to ensure safe operations 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 LiDAR based-inspections are time consuming and expensive. To make safety inspections more efficient and flexible, a low-altitude unmanned aerial vehicle remote-sensing platform equipped with optical digital camera was used to inspect power line corridors. We propose a semi-patch matching algorithm based on epipolar constraints using both correlation coefficient and the shape of its curve to extract three dimensional (3D) point clouds for a power line corridor. Virtual photography was used to transform the power line direction from approximately parallel to the epipolar line to approximately perpendicular to epipolar line to improve power line measurement accuracy. 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 measurement accuracies better than ±0.5 m.

scholarly journals Fast and Accurate Power Line Corridor Survey Using Spatial Line Clustering of Point Cloud

2021 ◽  
Vol 13 (8) ◽  
pp. 1571
Author(s):  
Yuchun Huang ◽  
Yingli Du ◽  
Wenxuan Shi
Keyword(s):  
High Voltage ◽  
Ground Truth ◽  
Point Clouds ◽  
Power Line ◽  
Power Lines ◽  
Spatial Distance ◽  
Stable Operation ◽  
3D Point Clouds ◽  
Overhead Power Lines ◽  
Power Line Corridor

High-voltage and ultra-high-voltage overhead power lines are important to meet the electricity demand of our daily activities and productions. Due to the overgrowth of trees/vegetation within the corridor area, the distance between the power lines and its surroundings may break through the safety threshold, which could cause potential hazards such as discharge and fire. To ensure the safe and stable operation of the power lines, it is necessary to survey them regularly so that the potential hazards from the surroundings within the power line corridor could be investigated timely. This paper is motivated to quickly and accurately survey the power line corridor with the 3D point clouds. The main contributions of this paper include: (1) the spatial line clustering is proposed to accurately classify and complete the power line points, which can greatly overcome the sparsity and missing of LiDAR points within the complex power line corridor. (2) The contextual relationship between power lines and pylon is well investigated by the grid-based analysis, so that the suspension points of power lines on the pylon are well located. (3) The catenary plane-based simplification of 3D spatial distance calculation between power lines and ground objects facilitates the survey of the power line corridor. Experimental results show that the accuracy of safety distance surveying is 5 cm for power line corridors of all voltage levels. Compared to the ground-truth point-to-point calculation, the speed of surveying is enhanced thousands of times. It is promising to greatly improve both the accuracy and efficiency of surveying the potential hazards of power line corridor.

scholarly journals Power Line Simulation for Safety Distance Detection Using Point Clouds

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 165409-165418
Author(s):  
Sai Chang Zhang ◽  
Jun Zheng Liu ◽  
Zheng Niu ◽  
Shuai Gao ◽  
Hai Zhi Xu ◽  
...  
Keyword(s):  
Point Clouds ◽  
Power Line ◽  
Safety Distance

scholarly journals AUTOMATIC DETECTION AND CHARACTERISATION OF POWER LINES AND THEIR SURROUNDINGS USING LIDAR DATA

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1161-1168 ◽  
Author(s):  
M. Yermo ◽  
J. Martínez ◽  
O. G. Lorenzo ◽  
D. L. Vilariño ◽  
J. C. Cabaleiro ◽  
...  
Keyword(s):  
Low Voltage ◽  
Parallel Implementation ◽  
Point Clouds ◽  
Power Line ◽  
Power Lines ◽  
Computational Time ◽  
Efficient Memory ◽  
3D Lidar ◽  
Very High ◽  
Line Classification

<p><strong>Abstract.</strong> Light Detection and Ranging (LiDAR) is nowadays one of the most used tools to obtain geospatial data. In this paper, a method to detect and characterise power lines of both high and low voltage and their surroundings from 3D LiDAR point clouds exclusively is proposed. First, to identify points of the power lines a global search of candidate points is carried out based on the height of each point compared to its neighbours. Then, the Hough Transform (HT) is applied on the set of candidate points to extract the catenaries that belong to each power line, allowing the identification of each conductor individually. Finally, conductors located on the same power line are grouped, their geometric characteristics analysed, and the quantitative features of the surroundings are computed. A very high accuracy of power line classification is reached with these methods, while the computational time is optimised by efficient memory usage and parallel implementation of the code.</p>

Sign in / Sign up

Export Citation Format

Share Document