Journal of Advanced Transportation (Jan 2024)

3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background

  • Jianyong Chai,
  • Limin Jia,
  • Jian Cao,
  • Jianfeng Liu,
  • Zhe Chen,
  • Shubin Li,
  • Xuejuan Wang,
  • Hong Han

DOI
https://doi.org/10.1155/2024/1224240
Journal volume & issue
Vol. 2024

Abstract

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Real-time automatic displacement monitoring of metro tunnels is vital for ensuring operational safety and contributes to carbon reduction goals by improving system efficiency. This study focuses on key monitoring elements such as displacement, settlement, convergence, and cracking. Through the analysis of continuous monitoring data, a real-time displacement monitoring model for metro tunnels based on robotic total stations is proposed. This model can timely identify potential risks, thereby ensuring the safe operation of tunnels and reducing carbon emissions from unnecessary maintenance operations, thereby reducing the carbon footprint of metro operations. This article takes the Jinan Metro Tunnel Displacement Real-time Monitoring Project in China as a case study and constructs a comprehensive monitoring framework using robotic total stations, intelligent automated deformation monitoring data collectors, and cloud servers. The implementation details of the project, displacement monitoring principles, monitoring system construction, and data analysis processes are elaborated in detail. Taking the monitoring data of Jinan Metro Line 2 from April 1, 2022, to May 31, 2023, as an example, the results show that the tunnel displacement is within the safe range, verifying the practical application value of the method proposed in this paper. It can effectively ensure the safe operation of the metro and promote sustainable development and low-carbon metro construction.