Bulletin of Surveying and Mapping ›› 2026, Vol. 0 ›› Issue (3): 80-85.doi: 10.13474/j.cnki.11-2246.2026.0314

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Research on construction configuration deviation detection of large-span spatial structures based on non-rigid registration

LI Dong1, LI Baoluo2, YANG Xianzhi1, LIU Yufei2,3, LIU Yuzhi1, ZHANG Qian1   

  1. 1. Anhui Construction Engineering Group Co., Ltd., Hefei 230031, China;
    2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
    3. Key Laboratory of Civil Engineering Safety and Durability of China Ministry of Education, Tsinghua University, Beijing 100084, China
  • Received:2025-07-25 Published:2026-04-08

Abstract: The detection of construction configuration deviations in large-span spatial structures is critical for construction quality control.However,conventional point cloud methods based on terrestrial laser scanning often suffer from limited robustness and applicability when dealing with complex structural systems and variable construction environments.This paper proposes a non-rigid registration method that eliminates structural responses and uses the steel roof structure of a certain international airport's terminal as an engineering background to compare the performance of the method and detect the construction configuration deviation of the structure.The results show that the proposed method can accurately identify and segment all structural instances.Compared with the classic non-rigid method,the RMSE of semi-rigid forward registration is reduced by 2.8 mm,and the RMSE of rigid reverse registration is reduced from 5.0 to 0.4 mm.The convergence speed is faster,the robustness is stronger,and the construction configuration deviation of the joints does not exceed 0.1 m.This study solves the application problem of non-rigid registration in the detection of construction configuration deviation,providing an effective technical means for the construction quality inspection of large-span spatial structures and promoting the intelligent development of construction quality management.

Key words: large-span spatial structure, 3D laser scanning, point cloud data, non-rigid registration, construction deviation, numerical simulation

CLC Number: