基于激光点云的巨型倾倒大变形体监测研究

Research on Huge Toppling Deformation Monitoring of Quickly Slip Based on Laser Point Cloud

以某特高岸水库巨型变形体为研究对象,应用地面三维激光扫描仪采集变形体表面激光点云数据,建立变形体DEM模型,几何量测提取点、线、面(体)成果,对比及叠加分析,得到特定点、线、面及整个变形体位移量信息。研究结果表明,高密度激光点云数据可弥补传统监测成果单一及分析局限或以点概全的不足,以其丰富多样的监测成果全面反映变形体的变形信息,尤其对速滑变形在时效性和精度匹配上更有效,可达到应急预报要求。

Taking a huge deformation with the extra high slope of reservoir as the research object, we used terrestrial 3D laser scanner to collect point cloud data on the deform surface, establish the DEM model, and used the geometric measurement to extract the results of point, line and surface. And then, through the contrast and the superposition analysis, we got a certain point, line, surface and the deformation information of entire deformation. The results show that the dense point cloud data can make up the insufficient of traditional monitoring results, with its rich and varied monitoring results can fully reflect deformation data, especially is more effective in timing and precision matching of the quickly slip deformation, which can meet the emergency forecast requirements.