输电杆塔悬挂点张力是线路改造及倒塌事故预警研究的重要参数，机载激光雷达技术可提供输电线路场景高精度的空间信息——激光点云数据，但缺乏本体要素运行状态信息（如杆塔悬挂点张力等物理参量）及时反馈能力。提出了一种基于机载激光点云的杆塔悬挂点张力提取方法，设计了输电线路空间信息研究微观物理参数的新思路。首先利用激光点云重建输电线三维空间模型，然后构建空间曲线模型与输电线水平应力的映射模型，最后根据相邻档输电线在悬挂点处张力矢量关系，实现了杆塔悬挂点张力提取。该方法利用激光点云重建输电线三维模型，提取实时运行状态下输电线张力，相较于有限元分析法，相对误差最大值为3.26%。研究可推广应用至大尺度、大范围输电线路安全巡检及状态参数检测应用中。

The tension at the suspension point of transmission towers is an important parameter for line renovation and collapse accident warning. Although airborne LiDAR can provide high-precision spatial information for transmission line scenes-LiDAR point cloud data, lacks timely feedback on the operational status information of elements (such as tension of suspension points). A tension extraction method for tower suspension points based on LiDAR point clouds was proposed, and a new approach for studying micro physical parameters of transmission line spatial information was designed. Firstly, a three-dimensional spatial model of the transmission line was reconstructed from point cloud. Then, a mapping model between the spatial curve model and the horizontal stress of the transmission line was constructed. Finally, based on the tension vector relationship of adjacent transmission lines, the tension at the suspension point of the tower was extracted. This method reconstruct the three-dimensional model of transmission lines and extract the tension of tower suspension points in real-time operation based on LiDAR point cloud. Compared with finite element analysis method, the maximum relative error is 3.26%. The research can be extended and applied to the safety inspection and state parameter detection of large-scale transmission lines.