3D visualization of large scale point clouds on transmission lines

The point cloud data of city-level transmission lines is huge, and the loading and display speed is slow due to the limitation of storage and computing efficiency. In response to the above problems, this paper provides a three-dimensional visualization method for large-scale point clouds of city-level transmission lines. First, by meshing the large-scale point cloud data, and then using deep learning algorithms and sag algorithms to classify and complete the point cloud data of transmission lines, relatively complete point cloud data of wires and towers are extracted. Finally, combined with the point cloud extraction results, the level of detail construction method based on random sampling is used for three-dimensional visual display. The results show that the method proposed in this paper can improve the quality and visualization efficiency of large-scale point cloud of transmission lines.