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5 June 2024 Research on inverse modeling method of transmission line GIM model based on laser point cloud and image feature extraction
Rong Yu, Bin Liao, Hui Zhang, Di Wang, Qiumiao Cheng
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Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131633D (2024) https://doi.org/10.1117/12.3030622
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China
Abstract
Aiming at the stock transmission line engineering, a reverse modeling method of transmission line GIM model based on laser point cloud is proposed in this paper. First of all, the laser point cloud data of the line channel are collected and classified; then, the point cloud data are imported into the modeling tool to extract the general outline of the transmission line and tower, and build a preliminary model; then, based on the UAV inspection pictures, the insulation substring and hardware are extracted to further refine the transmission tower GIM model. Through the verification of model accuracy, the results show that this research method can make full use of the high precision and rich information of laser point cloud data to quickly construct the three-dimensional model of transmission lines, so as to improve the modeling efficiency and accuracy.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Rong Yu, Bin Liao, Hui Zhang, Di Wang, and Qiumiao Cheng "Research on inverse modeling method of transmission line GIM model based on laser point cloud and image feature extraction", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131633D (5 June 2024); https://doi.org/10.1117/12.3030622
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KEYWORDS
Point clouds
Data modeling
3D modeling
Modeling
Data transmission
Unmanned aerial vehicles
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