基于激光点云智能分类技术的输电线路设计应用研究

Application Research of Transmission Line Design Based on Intelligent Classification Technology of Laser Point Cloud

为了提高输电线路设计过程中地物距离信息校核的精确性,利用激光点云技术进行地物智能分类,从而实现精准的地物距离校核,为路径优化提供依据。首先通过激光雷达获取三维地理信息点云数据,然后利用点云分割等智能算法实现地物自动分类和三维矢量化建模,最后导入三维设计平台内为设计提供数据支撑,从而更好地满足校核需求。该研究成果对于提升输电设计可视化水平及线路路径优化效率具有重要意义。

In order to improve the accuracy of the feature distance information check in the transmission line design process,the laser point cloud technology is used to intelligently classify the features,so as to achieve accurate feature distance check and provide a basis for path optimization.Firstly,the 3D geographic information point cloud data is obtained byLiDAR.Then,the intelligent algorithm such as point cloud segmentation is used to realize the automatic classification of figures and 3D vector modeling.Finally,the data support is provided in the 3D design platform to meet the requirements of the verification.The research results are of great significance to improve the visualization level of transmission design and the efficiency of route optimization.