摘要
使用三维激光扫描技术获取沉陷区内三层框架结构建筑物点云数据,并使用随机抽样一致性算法(RANSAC)提取建筑物点云正交三轴特征线,拟合满足最小二乘情况下特征线的交点为特征点。对比两期数据间特征点变化以获取建筑物变形规律,并与概率积分法提取的地表移动变形规律进行对比。实验结果表明:该方法提取建筑物变形规律与概率积分计算地表移动变形规律相近,建筑物最大下沉值700mm,整体向东北方向倾斜,倾斜角度与竖直方向呈8.8'。建筑物向东北方向最大水平移动657.78mm,与南北轴线呈28.39°,最大拉伸变形1.69mm/m。
3D laser scanning technology was applied to obtain the point clouds of the three storey frame structure building, and extract the orthogonal three axis characteristic line of building point cloud with the random sample consensus algorithm （RANSAC）. The intersection points of characteristic lines were calculated under the condition of least square. The two data points were compared to obtain the changes of building deformation, and the deformation law was compared with the probability integral method. The results shows that this method is similar with the probability integral method in the law of building deformation, the maximum subsidence is 700mm and the building is tilted to the northeast, the tilt angle is 8.8＇ differed with vertical direction. The maximum value of the building move to the northeast direction is 657.78mm, which is 28.39° with the direction of north-south axis. And the value of the maximum tensile deformation is 1.69mm/m.
出处
《煤炭工程》
北大核心
2017年第6期117-121,共5页
Coal Engineering
基金
国家自然科学基金项目(51504239)
关键词
三维激光扫描
煤矿开采沉陷
建筑物变形监测
点云数据处理
3D laser scanning
coal mining subsidence
building deformation monitoring
points cloud data processing
