首页|基于激光点云的网架球节点中心点坐标提取方法

基于激光点云的网架球节点中心点坐标提取方法

扫码查看
大跨度异形空间网架结构在大型公共建筑项目中广泛应用,但该类结构存在大量球形构件,传统全站仪监测的测量精度和效率较低,因此提出一种基于激光点云的大跨度异形空间网架球节点中心点坐标高效自动检测方法.利用三维激光扫描仪获取结构成形态的钢结构屋盖点云数据,然后对点云进行降噪处理,基于深化设计模型并根据后续工序的精度要求设置空间域,提取目标点云,最后采用编程算法对焊接球节点的中心点坐标实现自动化批量提取.为验证拟合球体中心点精度,对比了深化设计模型球节点与点云重构球节点的半径.以杭州西站大跨度异形空间网架焊接球节点为分析对象,结果表明,由该方法提取得到的大跨度异形空间网架球节点坐标精度高、效率大幅提升,具有良好的工程应用前景.
A Method for Extracting the Center Point Coordinates of Grid Spherical Joints Based on Laser Point Cloud
The large-span special-shaped space grid structure is widely used in large-scale public construction projects,but there are a lot of spherical components in this kind of structure,and the measurement accuracy and efficiency of the traditional total station monitoring method are low.Therefore,an efficient automatic detection method based on laser point cloud for the center point coordinates of spherical joints of large-span special-shaped space grids is proposed.3D laser scanning is used to obtain the point cloud data of the structural shape of the steel structure roof,and then the noise reduction process is carried out on the point cloud.The deepening design model is used to set the space domain according to the accuracy requirements of the subsequent processes,and the target point cloud is extracted.Finally,the programming algorithm is used to achieve automatic batch extraction of the center point coordinates of the welded spherical joints.In order to verify the accuracy of the fitting spherical center point,the radius of the spherical joint of the design model and the reconstructed spherical joint of the point cloud are compared.Taking the welded spherical joints of the large-span special-shaped space grid in Hangzhouxi Railway Station as the analysis object,the results show that the coordinates of the large-span special-shaped space grid spherical joints extracted by this method are of high precision,greatly improved in efficiency,and the method has a good engineering application prospect.

sphere identificationreconstruction3D laser scanningdeformation monitoring

童宇超、姚绪辉、邹海涛、金歌、杜理强、郑明

展开 >

中铁建工集团有限公司,北京 100160

清华大学美术学院 环境艺术设计系,北京 100084

深圳市特区建工科工集团有限公司,广东 深圳 518000

球体辨识 重构 三维激光扫描 变形监测

2024

建筑钢结构进展
同济大学

建筑钢结构进展

CSTPCD北大核心
影响因子:0.806
ISSN:1671-9379
年,卷(期):2024.26(9)