Cross-section analysis method of ice-covered power lines for UAV blasting de-icing

Xuan Du; Lunyong Mu

doi:10.1117/12.3026358

27 March 2024 Cross-section analysis method of ice-covered power lines for UAV blasting de-icing

Xuan Du, Lunyong Mu

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131053B (2024) https://doi.org/10.1117/12.3026358
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

This paper proposes a cross-section analysis method of ice-covered power lines for UAV blasting de-icing. Firstly, data of ice-covered power lines are collected through onboard LiDAR and cameras. Then, point cloud processing and graphic processing technologies are used to identify the contour of ice-covered power lines, calculate the radial dimensions of ice-covered power lines and the position of the wire in the ice. Finally, the minimum bounding box method is used to fit the cross-sectional shape of ice-covered power lines based on multi-angle data. Experimental results show that the error of radial dimension measurement of this method is controlled within 3%, the fitting result of the cross-sectional shape of ice-covered power lines is highly consistent with the actual ice shape, and the overlap reaches more than 0.85. The method in this paper provides a basis for the selection of explosive quantity in UAV blasting de-icing, reducing the risk of wire damage.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xuan Du and Lunyong Mu "Cross-section analysis method of ice-covered power lines for UAV blasting de-icing", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131053B (27 March 2024); https://doi.org/10.1117/12.3026358

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KEYWORDS

Ice

Image segmentation

Image processing

Shape analysis

Point clouds

Explosives

Unmanned aerial vehicles

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