为解决林区道路边坡监测环境复杂,离散监测点难以描述边坡整体表面位移情况等问题,本文提出采用地面激光扫描(TLS)技术对边坡表面位移进行监测.以某道路边坡为研究对象,应用TLS采集其两期边坡表面点云数据.对原始点云数据进行预处理后,基于NURBS曲面重建方法构建了边坡表面的DEM.两期边坡监测点云数据的DEM基于稳定标靶点进行叠加,等间距截取叠加曲面的4个截面,对截取的断面进行线性拟合,分析了边坡表面位移状态.结果表明,基于TLS点云数据构成的边坡表面模型,通过叠加分析可以获取边坡表面总体位移情况.%In order to solve the complex environment of slope monitoring in roadsides in forest area, it is difficult to describe the displacement of the whole surface of the slope with discrete monitoring points. In this paper, terrestrial laser scanning (TLS) was proposed to monitor the surface displacement of the slope. Taking a road slope as the research object, TLS was used to collect point cloud data of two sides of slope. After preprocessing the original point cloud data, the DEM of slope surface was constructed based on NURBS surface reconstruction method. Based on the stable target points, the DEM of the two phases of slope monitoring point cloud data were superposed, and the four sections of the overlay surface were intercepted at equal intervals, the interception sections were linearly fitted, and the displacement of the slope surface could be obtained. The results showed that based on the slope surface model composed of TLS point cloud data, the total displacement of the slope surface could be obtained by superposition analysis.
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