Reconstruction of Power Line Transmission Corridor Objects Based on UVA Lidar Point Cloud Images

The point cloud data in the power line corridor is huge, and the key basic technology for automatic inspection of power lines and pylons is the filtering and storage of point cloud data, as well as the extraction, rendering, and reconstruction of power lines, Pylons, obstacles, vegetation and buildings. Ruizhuo Zhang and Bisheng Yang proposed a method only for extracting powerlines and pylons from point cloud data. In this article, based on the geomorphic characteristics of Jinhua area in Zhejiang Province, firstly, the filtering, modifiable octree storage, 3D modeling, algorithm for the extraction of powerlines, pylons, builds, rivers, and high and low vegetation is given. Secondly, a method combining Modified Nested octree (MNO) storage, levels of detail (LOD) technology, and random ray removal based on Halton sequences are proposed to render point cloud images. In the rendered image, you can also measure the length of powerline, point coordinates, angles, and block area and perimeter. The method was tested through three experiments, and the results showed that the rendering speed was fast, the effect was smooth, and the rendered point cloud data capacity was only limited by hardware GPU memory.