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Extraction of Tension at Suspension Points from Airborne LiDAR
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Wei-feng MA1, 2, 3, 4, Xiao-dong WU2, Chong WANG2, Xu-yong HUANG5, Ping WEN2
Science Technology and Engineering | 2025, 25(11) : 4682 - 4688
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Science Technology and Engineering | 2025, 25(11): 4682-4688
• Papers·Automation and Computational Technology •
Extraction of Tension at Suspension Points from Airborne LiDAR
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Wei-feng MA1, 2, 3, 4, Xiao-dong WU2, Chong WANG2, Xu-yong HUANG5, Ping WEN2
Affiliations
  • 1 Faculty of Geography, Yunnan Normal University, Kunming 650500, China
  • 2 Power China Kunming Engineering Corporation Limited, Kunming 650051, China
  • 3 Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China
  • 4 Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China
  • 5 Yunnan Power Grid Company Limited, Electric Power Research Institute, Kunming 650217, China
Published: 2025-04-18 doi: 10.12404/j.issn.1671-1815.2403945
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The tension at the suspension point of transmission towers is an important parameter for line renovation and collapse accident warning. Although airborne LiDAR can provide high-precision spatial information for transmission line scenes-LiDAR point cloud data, lacks timely feedback on the operational status information of elements (such as tension of suspension points). A tension extraction method for tower suspension points based on LiDAR point clouds was proposed, and a new approach for studying micro physical parameters of transmission line spatial information was designed. Firstly, a three-dimensional spatial model of the transmission line was reconstructed from point cloud. Then, a mapping model between the spatial curve model and the horizontal stress of the transmission line was constructed. Finally, based on the tension vector relationship of adjacent transmission lines, the tension at the suspension point of the tower was extracted. This method reconstruct the three-dimensional model of transmission lines and extract the tension of tower suspension points in real-time operation based on LiDAR point cloud. Compared with finite element analysis method, the maximum relative error is 3.26%. The research can be extended and applied to the safety inspection and state parameter detection of large-scale transmission lines.

airborne LiDAR  /  point cloud data  /  transmission lines  /  tension of suspension point
Wei-feng MA, Xiao-dong WU, Chong WANG, Xu-yong HUANG, Ping WEN. Extraction of Tension at Suspension Points from Airborne LiDAR[J]. Science Technology and Engineering, 2025 , 25 (11) : 4682 -4688 . DOI: 10.12404/j.issn.1671-1815.2403945
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Year 2025 volume 25 Issue 11
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Article Info
doi: 10.12404/j.issn.1671-1815.2403945
  • Receive Date：2024-05-28
  • Online Date：2025-07-09
  • Published：2025-04-18
Article Data
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History
  • Received：2024-05-28
  • Revised：2024-09-11
Funding
Affiliations
    1 Faculty of Geography, Yunnan Normal University, Kunming 650500, China
    2 Power China Kunming Engineering Corporation Limited, Kunming 650051, China
    3 Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China
    4 Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China
    5 Yunnan Power Grid Company Limited, Electric Power Research Institute, Kunming 650217, China
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