Construction quality control and disease detection of subway tunnel based on 3D laser scanning technology

doi:10.13474/j.cnki.11-2246.2020.0166

Abstract

Abstract: The 3D laser scanning technology has the characteristics of no contact, high density, high precision and digitization, and can realize the holographic, comprehensive and rapid 3D measurement of subway tunnel. In the civil construction stage, the three-dimensional scanning of the first branch and the second lining of the tunnel can be carried out separately, and the over-underdigging and the second lining limit of the first branch section can be quickly obtained. In the operation stage of the subway tunnel, the mobile three-dimensional laser scanning technology is used to scan the tunnel, which can quickly obtain the holographic data of the tunnel, and can analyze and extract the disease information such as tunnel seepage, crack, pipe piece wrong platform and so on from the point cloud. The 3D laser scanning technology is used to test and apply the construction quality and disease detection of Qingdao subway parts, and its data acquisition process and point cloud analysis are introduced, which provides some reference for the popularization and application of 3D laser scanning technology in subway tunnel.

Key words: 3D laser scanning, metro tunnel, holographic data, quality control, disease detection

CLC Number:

P258

SONG Yunji, WANG Zhi. Construction quality control and disease detection of subway tunnel based on 3D laser scanning technology[J]. Bulletin of Surveying and Mapping, 2020, 0(5): 150-154.

[1]	ZHOU Ye, LIU Yunbo, ZHENG Libo, LONG Yangjun. Precision analysis of single tree parameter extraction for multi-platform point cloud data [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 168-172.
[2]	XIE Yuan, DONG Meng, MA Xinjian. Application of multi-source data in 3D reconstruction of buildings in complex scenes [J]. Bulletin of Surveying and Mapping, 2022, 0(6): 143-147.
[3]	LI Xu. Application of 3D laser scanning technology in subway tunnel completion survey [J]. Bulletin of Surveying and Mapping, 2022, 0(6): 166-169.
[4]	ZHANG Chi, BAI Zhihui, LI Liang, CHEN Ranli, WU Kan. Deformation monitoring of bridge structure in mining area using 3D laser scanning technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 122-129.
[5]	PAN Dongfeng, YANG Chao, WU Yitong, TAN Tian, ZHANG Delin. Section extraction and deformation monitoring analysis of metro tunnel using TLS technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 130-133.
[6]	WANG Bei, YE Xianfeng, WANG Junning. Bridge deformation analysis based on point cloud slice extraction technique [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 167-171.
[7]	XU Yanbo. Curved surface measurement by integrating 3D laser scanning and architectural design coordinates [J]. Bulletin of Surveying and Mapping, 2022, 0(2): 16-19,49.
[8]	DING Xiaobing, GAO Zhiqiang, YANG Kun. A mobile laser scanning 3D point cloud reconstruction for metro tunnels based on inertial navigation and CPⅢ control points [J]. Bulletin of Surveying and Mapping, 2021, 0(9): 112-115,129.
[9]	DING Ge, YAN Lishuang, PENG Jian, ZHU Chuanguang, HUANG Xueting. Cross section extraction of tunnel point cloud based on ransac algorithm [J]. Bulletin of Surveying and Mapping, 2021, 0(9): 120-123.
[10]	HAN Fuqing, GUO Guohe, YANG Chengkun, WU Yongsheng, WANG Weili, LI Cailin. Automatic detection method of position and posture of high bridge piers based on detecting projection line of point cloud [J]. Bulletin of Surveying and Mapping, 2021, 0(9): 130-135,150.
[11]	HE Xiaodong. Feasibility study on the application of 3D laser scanning technology in the direction of building facade digital acquisition and elevation drawing [J]. Bulletin of Surveying and Mapping, 2021, 0(9): 157-159,164.
[12]	MA Tao, YANG Xiaoming, YAN Yueguan, YAN Dongchuan. Point cloud filtering algorithm based on windowing and terrain slope in densely-vegetated area [J]. Bulletin of Surveying and Mapping, 2021, 0(8): 33-36.
[13]	CHEN Limin, FAN Tingli. High-precision and fast detection for the shape of ice pipe in super-large speed skating area [J]. Bulletin of Surveying and Mapping, 2021, 0(8): 111-114.
[14]	QI Yongliang, LI Haipeng, WANG Yongguo. Application of high-precision real texture 3D modeling in Ming Dynasty stone tablet [J]. Bulletin of Surveying and Mapping, 2021, 0(6): 98-102.
[15]	LIU Baohua, WANG Zhi, SONG Yunji. Fusion application based on 3D laser scanning data and tilting photogrammetry data of UAV [J]. Bulletin of Surveying and Mapping, 2021, 0(6): 159-162,165.

Construction quality control and disease detection of subway tunnel based on 3D laser scanning technology

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments