Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning
The convergence diameter of shield tunnels is detected by ellipse fitting or local curve fitting to cross-section points. However, the tunnel section, which is extruded by an external force, has an irregular elliptical shape, and the waist of the tunnel is often blocked by accessories, resulting in...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/3/767 |
| _version_ | 1797484947727974400 |
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| author | Lei Xu Jian Gong Jiaming Na Yuanwei Yang Zhao Tan Norbert Pfeifer Shunyi Zheng |
| author_facet | Lei Xu Jian Gong Jiaming Na Yuanwei Yang Zhao Tan Norbert Pfeifer Shunyi Zheng |
| author_sort | Lei Xu |
| collection | DOAJ |
| description | The convergence diameter of shield tunnels is detected by ellipse fitting or local curve fitting to cross-section points. However, the tunnel section, which is extruded by an external force, has an irregular elliptical shape, and the waist of the tunnel is often blocked by accessories, resulting in data loss. This study proposes a convergence diameter and radial dislocation detection method based on block-level fitting. The proposed method solves the accuracy degradation caused by the model error and point cloud incompletion. First, the noise points in the tunnel section point cloud are removed using the least trimmed squares method. Second, the tunnel transverse seam is then located using the image edge detection algorithm. Third, the endpoint of the convergence diameter is determined by making a specific segment the center and shifting the detector from the center to the pinpoint. Finally, the convergence diameter and radial dislocation are detected by the endpoints of the segments. The experimental results showed that the absolute detection accuracy of this method was better than 3 mm, and the repeated detection accuracy was better than 2 mm. This result is consistent with prior total station measurements, which are more suitable for practical engineering applications. |
| first_indexed | 2024-03-09T23:11:46Z |
| format | Article |
| id | doaj.art-745e66c57811496f8075f8d80896750d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T23:11:46Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-745e66c57811496f8075f8d80896750d2023-11-23T17:43:20ZengMDPI AGRemote Sensing2072-42922022-02-0114376710.3390/rs14030767Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser ScanningLei Xu0Jian Gong1Jiaming Na2Yuanwei Yang3Zhao Tan4Norbert Pfeifer5Shunyi Zheng6China Railway Design Corporation, Tianjin 300308, ChinaChina Railway Design Corporation, Tianjin 300308, ChinaCollege of Civil Engineering, Nanjing Forestry University, Nanjing 210037, ChinaSchool of Geosciences, Yangtze University, Wuhan 430100, ChinaChina Railway Design Corporation, Tianjin 300308, ChinaDepartment of Geodesy and Geoinformation, Technische Universität Wien, 1040 Vienna, AustriaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaThe convergence diameter of shield tunnels is detected by ellipse fitting or local curve fitting to cross-section points. However, the tunnel section, which is extruded by an external force, has an irregular elliptical shape, and the waist of the tunnel is often blocked by accessories, resulting in data loss. This study proposes a convergence diameter and radial dislocation detection method based on block-level fitting. The proposed method solves the accuracy degradation caused by the model error and point cloud incompletion. First, the noise points in the tunnel section point cloud are removed using the least trimmed squares method. Second, the tunnel transverse seam is then located using the image edge detection algorithm. Third, the endpoint of the convergence diameter is determined by making a specific segment the center and shifting the detector from the center to the pinpoint. Finally, the convergence diameter and radial dislocation are detected by the endpoints of the segments. The experimental results showed that the absolute detection accuracy of this method was better than 3 mm, and the repeated detection accuracy was better than 2 mm. This result is consistent with prior total station measurements, which are more suitable for practical engineering applications.https://www.mdpi.com/2072-4292/14/3/767shield tunnelblock fittingconvergence diametertransverse seamleast trimmed squares |
| spellingShingle | Lei Xu Jian Gong Jiaming Na Yuanwei Yang Zhao Tan Norbert Pfeifer Shunyi Zheng Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning Remote Sensing shield tunnel block fitting convergence diameter transverse seam least trimmed squares |
| title | Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning |
| title_full | Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning |
| title_fullStr | Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning |
| title_full_unstemmed | Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning |
| title_short | Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning |
| title_sort | shield tunnel convergence diameter detection based on self driven mobile laser scanning |
| topic | shield tunnel block fitting convergence diameter transverse seam least trimmed squares |
| url | https://www.mdpi.com/2072-4292/14/3/767 |
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