建筑钢结构进展2025，Vol.27Issue(9)：121-130,10.DOI:10.13969/j.jzgjgjz.20240425001
基于点云数据的大型复杂空间结构数字孪生施工监测技术
Digital Twin Construction Monitoring Technology for Large and Complex Spatial Structures Based on Point Cloud Data
摘要
Abstract
Due to the multitude of components and intricate joint structures in large complex space structures,traditional modeling methods are inefficient and computationally demanding,failing to meet the needs of such extensive structures.To address this problem,a 3D laser scanning-based digital twin method for monitoring large complex space structures is introduced to explore reverse modeling techniques.Initially,3D laser scanning captures the structural point cloud.The complete dataset is then aligned using a full datum registration and the ICP algorithm,followed by noise reduction through statistical filtering and voxelization.For beams and columns with different cross-sectional forms,the RANSAC-based centerline fitting algorithm is proposed to extract the component axes;for the component connecting joints,the nearest-neighbor-point algorithm is proposed to carry out the axial end point fitting.Finally,the geometric accuracy and finite element analysis of the digital twin model are verified.The results show that the digital twin model based on point cloud data has high consistency with the BIM design model in terms of accuracy and finite element results.This verifies the accuracy of the digital twin technology in geometric mapping and performance prediction,and lays the foundation for the application of this technology in construction monitoring.关键词
大型复杂结构/点云数据/数字孪生技术/逆向建模/有限元分析/施工监测Key words
large complex structure/point cloud data/digital twin technology/reverse modeling/finite element analysis/construction monitoring分类
建筑与水利引用本文复制引用
任振洋,黄皓铠,张国杰,易天琦,李晨,鲁涛,查晓雄..基于点云数据的大型复杂空间结构数字孪生施工监测技术[J].建筑钢结构进展,2025,27(9):121-130,10.基金项目
深圳市科技计划项目(GJHZ20220913143007013、KCXST20221021111408021) （GJHZ20220913143007013、KCXST20221021111408021）
