3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background
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 analy...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2024/1224240 |
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| _version_ | 1832568806293110784 |
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| author | Jianyong Chai Limin Jia Jian Cao Jianfeng Liu Zhe Chen Shubin Li Xuejuan Wang Hong Han |
| author_facet | Jianyong Chai Limin Jia Jian Cao Jianfeng Liu Zhe Chen Shubin Li Xuejuan Wang Hong Han |
| author_sort | Jianyong Chai |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cd594821024b4aeeabdd4e8cd6f5fcb3 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-cd594821024b4aeeabdd4e8cd6f5fcb32025-02-03T00:25:23ZengWileyJournal of Advanced Transportation2042-31952024-01-01202410.1155/2024/12242403D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” BackgroundJianyong Chai0Limin Jia1Jian Cao2Jianfeng Liu3Zhe Chen4Shubin Li5Xuejuan Wang6Hong Han7School of Traffic and TransportationSchool of Traffic and TransportationGuangdong Juzhigongchuang Technology Industry Co., LtdShandong Rail Transit Information Co., LtdShandong Jiaotong UniversityDepartment of Traffic Management EngineeringShandong Jiaotong UniversityShandong Jiaotong UniversityReal-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.http://dx.doi.org/10.1155/2024/1224240 |
| spellingShingle | Jianyong Chai Limin Jia Jian Cao Jianfeng Liu Zhe Chen Shubin Li Xuejuan Wang Hong Han 3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background Journal of Advanced Transportation |
| title | 3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background |
| title_full | 3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background |
| title_fullStr | 3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background |
| title_full_unstemmed | 3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background |
| title_short | 3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background |
| title_sort | 3d monitoring model for real time displacement of metro tunnel under dual carbon background |
| url | http://dx.doi.org/10.1155/2024/1224240 |
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