Continuously Extracting Section and Deformation Analysis for Subway Tunnel Based on LiDAR Points

  • LI Cheng ,
  • LU Xiaoping ,
  • ZHU Ningning ,
  • LU Yao ,
  • WU Yongbin ,
  • LI Guoqing
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  • 1. Key Laboratory of Mine Spatial Information Technologies, NASG, Jiaozuo 454000, China;
    2. Henan Remote Sensing and Mapping Institute, Zhengzhou 450003, China;
    3. National Quality and Texting Center for Surveying and Mapping Products, Beijing 100830, China

Received date: 2014-12-01

  Revised date: 2015-04-10

  Online published: 2015-09-24

Supported by

Henan Science and Technology Innovation Team Program in Universities(No.14IRTSTHN026);The National Basic Research Program of China (973 Program)(No.2009CB226107);Henan Science and Technology Innovation Team Program

Abstract

Monitoring measurement of subway in the stage of construction and operation can ensure the stability of tunnel structure and the safety of its surrounding efficiently. Although existing monitoring measures such as using convergence meter or total station can help to obtain high precision monitoring data, received deformation monitoring points are too sparse, which results in difficulty in reflecting overall deformation characteristics of tunnel. This paper proposed a method for continuously vertical section abstraction and deformation analysis for subway tunnel based on terrestrial point clouds through three-dimensional laser scanning technology applied to deformation monitoring of the tunnel, and made deformation analysis of abstracted two-period section data. The results of the research showed that global deformation of tunnel was reflected more visualized through this method and provided a reference for the dynamic monitoring of tunnel deformation.

Cite this article

LI Cheng , LU Xiaoping , ZHU Ningning , LU Yao , WU Yongbin , LI Guoqing . Continuously Extracting Section and Deformation Analysis for Subway Tunnel Based on LiDAR Points[J]. Acta Geodaetica et Cartographica Sinica, 2015 , 44(9) : 1056 -1062 . DOI: 10.11947/j.AGCS.2015.20140632

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