摘要
目的提出一种利用轮廓信息对应关系计算空间变换的多尺度点云数据融合方法,准确获得兼顾大型钢桁梁主体以及局部螺栓孔的杆件点云信息,从而用于钢桁梁的虚拟拼装。方法首先,结合立式三维激光扫描和手持式三维激光扫描两种方式,分别获取表征大尺寸构件整体信息和螺栓孔群局部信息的点云数据;然后,基于点云数据分别提取融合部位的轮廓信息,并使用轮廓信息对应关系计算空间变换矩阵;最后,利用空间变换矩阵进行点云融合。结果通过主轴方向偏差和最近距离约束对融合后的模型进行融合效果评定,验证了融合方法的准确性;其中,主轴角度偏差量为0.0000384°、扭转角度偏差量为0.01175°、豪斯多夫距离为0.311 mm,满足工程要求。结论所提方法能够针对性的对具有一定规则性的杆件进行局部特征提取,简化了空间变换所需要的信息,为钢桁梁虚拟拼装提供了数据基础。
A multi-scale point cloud data fusion method was proposed in this paper using contour information correspondence to calculate spatial transformation in order to accurately obtain the point cloud information of the main body of large steel truss girder and local bolt holes,so as to be used for virtual assembly of steel joist.Firstly,the point cloud data characterizing the overall information of large-size members and the local information of bolt holes were obtained by combining vertical 3D laser scanning and handheld 3D laser scanning;then,the contour information of the fused parts was extracted based on the point cloud data and the spatial transformation matrix was calculated by using the correspondence of the contour information;finally,the spatial transformation matrix was used for the fusion of the point cloud and the fusion was performed by using the deviation of the main axis and the distance constraints of the closest bolt holes.Finally,the point cloud was fused using the spatial transformation matrix and the fusion effect of the fused model was evaluated by the principal axis direction deviation and the nearest distance constraint,which verifies the accuracy of the fusion method.The deviation of the spindle angle was 0.0000384°,the deviation of the torsion angle was 0.01175°,and the Hausdorff distance was 0.311 mm,which meet the engineering requirements.The method can target the local feature extraction of bars with certain regularity,simplify the information needed for spatial transformation,and provide the data basis for the virtual assembly of steel joist girders.
作者
梁栋
贾铢丰
高祺
苏立超
LIANG Dong;JIA Zhufeng;GAO Qi;SU Lichao(School of Civil and Transportation,Hebei University of Technology,Tianjin,China,300401;Xingtai Road and Bridge Construction Group Co.Ltd.,Xingtai,China,054001)
出处
《沈阳建筑大学学报（自然科学版）》
CAS
北大核心
2024年第6期973-983,共11页
Journal of Shenyang Jianzhu University：Natural Science
基金
国家自然科学基金项目(51978236,52478310)。
关键词
三维激光扫描
钢桁梁杆件
点云
空间变换
数据融合
3D laser scanning
steel joist bars
point cloud
spatial transformation
data fusion
