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.
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Du et al. (2024) studied this question.
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