Research on Point Cloud Repair Based on Multi-parameter Extraction in Digital Power Plant

The 3D visualization of the traditional power plant can integrate the information in the scene and manage each area accurately and quickly. The surface missing parts and holes in the reconstruction process of 3D visualization power plant can lead to the loss of information. To solve this problem, an efficient holes repairing algorithm is proposed in this paper. Through the feature discrimination of the original data to simplify processing, and then repair the hole. In the case of retaining the characteristics of the original data, the subsequent repairing efficiency is improved by reducing the number of point clouds. After fast triangulation of the discrete data, a complete network is formed by least square fitting, and then the curvature change of the surface is minimized to make it follow the trend of curvature change around the hole. The experimental results show that this method can greatly improve the repair efficiency of point cloud hole data with a large number of point clouds, and retain its original features.