Virtual assembly technology for tunnel segments based on geometric constrained point cloud registration

doi:10.13474/j.cnki.11-2246.2026.1024

Abstract

Abstract: [Purposes] The pre-assembly test of tunnel segments is a necessary task for tunnel construction.Traditional manual methods have problems of low efficiency and large errors.The existing virtual assembly method of segments don't fully consider the constraint relationship between the splicing surface and the bolt hole.Based on this,this paper proposes a plane extraction and point cloud registration method that consider the consistency of the splicing surface and the alignment of the bolt hole positions. [Methods] It designs an automated segment virtual assembly process,through multi-stage noise reduction filtering,coarse registration,contact surface extraction,geometric constraint fine registration,single-ring virtual assembly,multi-ring dynamic virtual assembly,achieves high-precision virtual assembly of segments. [Findings] The experimental analysis and engineering application show that the method is superior to the traditional method in terms of accuracy,efficiency,and stability.It solves the problem of easy misalignment within and between rings,and the average joint seam can reach 1.2 mm. [Conclusions] It effectively improves the quality and efficiency of segment pre-assembly,and has high engineering application value．

Key words: tunnel segment, 3D point cloud, geometric constraints, point cloud registration, virtual assembly

CLC Number:

P258

Guo Yan, Qin Shoupeng, Guo Jie, Xu Lei, Hong Jianghua. Virtual assembly technology for tunnel segments based on geometric constrained point cloud registration[J]. Bulletin of Surveying and Mapping, 2026, 0(10): 155-160.

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URL: http://tb.chinasmp.com/EN/10.13474/j.cnki.11-2246.2026.1024

http://tb.chinasmp.com/EN/Y2026/V0/I10/155

References

[1] 傅鹤林,安鹏涛,李凯,等.隧道穿越高压富水断层破碎带过程分析[J].现代隧道技术,2020,57(S1):458-465．
[2] Ma Zhiliang,Liu Shilong.A review of 3D reconstruction techniques in civil engineering and their applications[J].Advanced Engineering Informatics,2018,37:163-174.
[3] 顾瑞康.盾构隧道新型管片拼装性能分析与足尺拼装试验研究[D].武汉:华中科技大学,2023．
[4] 常舒.基于三维激光扫描技术的管片数字化预拼装技术研究[D].北京:北京建筑大学,2021．
[5] 郭满良.钢结构虚拟预拼装技术[J].建筑技术,2018,49(4):381-384．
[6] 王雷,李盛,丁小平,等.基于点云特征提取的桥梁节段虚拟拼装方法[J].测绘通报,2025(8):62-69．
[7] 肖克霖.基于三维激光点云的盾构隧道管片三环虚拟预拼装技术[J].施工技术(中英文),2025,54(10):17-20．
[8] Zhang Juyong,Yao Yuxin,Deng Bailin.Fast and robust iterative closest point[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2022,44(7):3450-3466.
[9] Cao Yibo,Ni Junheng,Huang Yonghao.DPCR-SLAM:a dual-point-cloud-registration SLAM based on line features for mapping an indoor mobile robot[J].Sensors,2025,25(17):5561.
[10] 刘剑,白迪.基于特征匹配的三维点云配准算法[J].光学学报,2018,38(12):1215005．
[11] 魏博言,杜弘志,张瀛,等.基于平面点云配准与相对位姿控制的工业件装配方法[J].激光与光电子学进展,2024,61(4):0415001．
[12] 陈志勇,秦守鹏,吴先安,等.盾构隧道衬砌管片外形尺寸检测系统研制与应用[J].铁道建筑,2021,61(10):82-86．
[13] Huang Rongjie,Wang Chuanxu,Li Hao,et al.A point cloud denoising method combining K-means++and adaptive threshold[J].Journal of Physics (Conference Series),2025(1):8.
[14] Su Tianyun,Wang Wen,Liu Haixing,et al.An adaptive and rapid 3D Delaunay triangulation for randomly distributed point cloud data[J].The Visual Computer,2022,38(1):197-221.

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