基于NURBS曲面模型的滑坡点云形变分析

Deformation analysis of landslide point cloud data based on NURBS curved face reconstruction

针对传统滑坡监测方法具有工作量大、观测时间长、曲面模型构建困难和难以适应实时化形变监测的不足,本文采用激光雷达技术对滑坡体进行监测。首先根据山体滑坡概况设计监测站布设方案;然后利用采集到的点云数据进行非均匀有理B样条(non-uniform rational B-splines,NURBS)曲面模型重构,并进行全面形变分析;最后选取山体若干有代表性的监测点沉陷监测值与传统方法测量的变形量进行μ检验。实验表明:利用激光点云数据快速构建模型并进行形变分析,监测结果与传统技术监测结果的误差较小,说明利用三维激光扫描技术快速获取山体滑坡监测数据的可靠性。

Traditional landslide monitoring method has some problems including heavy workload,long-time observation,curve-surface modeling difficulty and real-time deformation monitoring difficulty.This paper presents a high precision monitoring method for landslide deformation by monitoring the landslide body with laser radar technique.Firstly,to design the layout scheme of monitoring station according to the general situation of landslide,then using the collected point cloud data to reconstruct the NURBS curve-surface model and to conduct the comprehensive deformation analysis;finally,to select representative mountain subsidence value from monitoring points to conduct consistency analysis with traditional deformation measurement using μ-inspection method.The experimental results show that rapid modeling and deformation analysis using laser point cloud data has less error compared with the traditional technology monitoring results.It is further explained that the three-dimensional laser scanning technique can be used to quickly obtain landslide monitoring data.