Reconstruction of missing power lines based on the spatial shortest distance of fitting model

With the vigorous development of green energy, the characteristics of the electricity industry, such as wide coverage, long chain, large scale, and strong social dependence, have become increasingly prominent in recent years. The massive power transmission network urgently needs an efficient, fast, and data-intelligent power corridor inspection system to ensure the safe operation and stable transmission of power energy. It is difficult to effectively realize safety detection due to the absence of power lines based on LiDAR for power inspection. In this study, the reconstruction of missing power lines is discussed. Firstly, power lines are extracted by target classification. Then, for the power line reconstruction, this paper uses the tower fitting plane to segment the single-file power line, and then proposes a clustering method with the shortest distance in the space of the power line fitting model, which improves the situation that the traditional clustering method is not suitable for partial power line data missing. Finally, the power line is reconstructed based on the catenary model fitting.