Automated detection of truss geometric quality based on BIM and 3D laser scanning

doi:10.11996/JG.j.2095-302X.2024040845

Abstract

Abstract:

The truss structure, widely employed in large-span public buildings for its lightweight and high load-bearing capacity, requires periodic inspections of its geometric quality to ensure safety with its usage over time. However, conventional methods for inspecting the geometric quality of truss structures rely mainly on manual processes, which are inefficient and costly.This paper proposed an automated detection algorithm to perform geometric quality inspection of truss structures. Firstly, the truss structure was separated from the background in the acquired raw point cloud data using building information model (BIM). Subsequently, an algorithm based on key point detection technology automatically extracted geometric features of the truss structure and calculated node coordinates. Finally, by comparing computed results with the BIM design information, geometric quality inspection results were obtained. The validation of the proposed method was conducted in the auditorium of a campus in Shenzhen, China. The experimental results demonstrated that the computational outcomes of the proposed algorithm exhibited an error within 2 mm compared to the measurements obtained from the total station. When the computational results of the proposed method were contrasted with BIM model data, variations in the truss structure nodes were detected, indicating different degrees of settlement. Consequently, the proposed method enabled accurate and rapid spatial positioning of nodes, thereby enhancing the efficiency of geometric quality inspection for truss structures.

Key words: automation, truss, geometric quality, building information model, 3D laser scanning

CLC Number:

ZOU Yakun, CHEN Xianchuan, TAN Yi, LIN Yongfeng, ZHANG Yafei. Automated detection of truss geometric quality based on BIM and 3D laser scanning[J]. Journal of Graphics, 2024, 45(4): 845-855.

Figures/Tables 21

References 28

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等级	英文名	代号	包含的最小模型单元
1.0级模型精细度	Level of Model Definition 1.0	LOD1.0	项目级模型单元
2.0级模型精细度	Level of Model Definition 2.0	LOD2.0	功能级模型单元
3.0级模型精细度	Level of Model Definition 3.0	LOD3.0	构件级模型单元
4.0级模型精细度	Level of Model Definition 4.0	LOD4.0	零件级模型单元

等级	英文名	代号	包含的最小模型单元
1.0级模型精细度	Level of Model Definition 1.0	LOD1.0	项目级模型单元
2.0级模型精细度	Level of Model Definition 2.0	LOD2.0	功能级模型单元
3.0级模型精细度	Level of Model Definition 3.0	LOD3.0	构件级模型单元
4.0级模型精细度	Level of Model Definition 4.0	LOD4.0	零件级模型单元

性能参数	数值
视场	360°×282°
扫描时间	最快94 s
扫描速度	最大500 kHz
测程	0.6~80 m
测距精度	2 mm
角度精度	21''

性能参数	数值
视场	360°×282°
扫描时间	最快94 s
扫描速度	最大500 kHz
测程	0.6~80 m
测距精度	2 mm
角度精度	21''

性能参数	数值
测角精度	2''
无棱镜测程	800 m
测距精度	3 mm+2 ppm
测量时间	约1.5 s