Research on Simulation and Reconstruction Technology of Power Tower Collapse Accident Based on Three-Dimensional Point Cloud
Guozhu Yang, Enhui Wei, Shirui Sun, Chao Gao, Pingkai Fang, Maojie Tian · 2025
This paper studies a simulation and reconstruction technology of power tower collapse accident based on three-dimensional point cloud. First, the three-dimensional point cloud data of the power tower before and after the collapse is obtained by high-precision laser scanning and photogrammetry technology. The Voxel Grid algorithm is used to reduce the noise of the point cloud data to improve the data quality. Then a reconstruction system based on point cloud data is designed, which combines the physical simulation model with the geometric characteristics of the point cloud to accurately reconstruct the collapse process of the power tower. The mechanical properties of the tower structure, the dynamic changes of the collapse process, and the influence of environmental factors on the accident are considered in the simulation model. The simulation results show that the proposed technology can effectively simulate the whole process of power tower collapse and compare it with the actual accident data with an accuracy of more than 90%. Through data analysis, the key influencing factors of tower collapse are revealed, which provides a scientific basis for the safety assessment and accident prevention of the power system.