An Improved Filtering Method and Application of Landslide Deformation Monitoring
Real-time early warning based on deformation monitoring is an important measure to reduce the threat related to landslides. However, due to the complexity of landslide deformation, equipment accuracy, and data transmission interference, the displacement obtained by existing monitoring equipment has...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/9173882 |
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| _version_ | 1832558625645658112 |
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| author | Xing Qi Chao Hu Ruliang Cao |
| author_facet | Xing Qi Chao Hu Ruliang Cao |
| author_sort | Xing Qi |
| collection | DOAJ |
| description | Real-time early warning based on deformation monitoring is an important measure to reduce the threat related to landslides. However, due to the complexity of landslide deformation, equipment accuracy, and data transmission interference, the displacement obtained by existing monitoring equipment has random errors, resulting in inaccurate landslide warning. In this paper, a tangent angle model based on the improved filtering method is proposed for the early warning of landslides. An improved filtering method is proposed based on the least-square method to smooth the measurement errors of monitoring equipment, considering both “data smoothing effect” and “accelerated deformation real-time determination”. By comparing the least-squares method and the improved filtering method, the results demonstrate that the improved filtering method can more effectively smooth the fluctuation of the deformation rate. The amplitude of the error-induced tangent angle warning value fluctuation can be reduced, which provides correct early warning. The improved method provides a new approach for the real-time filtering of subsequent landslide deformation data. |
| format | Article |
| id | doaj-art-e5e0811485d14acfae4b9412edf921e4 |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-e5e0811485d14acfae4b9412edf921e42025-02-03T01:32:01ZengWileyAdvances in Civil Engineering1687-80942024-01-01202410.1155/2024/9173882An Improved Filtering Method and Application of Landslide Deformation MonitoringXing Qi0Chao Hu1Ruliang Cao2Sichuan University of Science and EngineeringSichuan University of Science and EngineeringSichuan University of Science and EngineeringReal-time early warning based on deformation monitoring is an important measure to reduce the threat related to landslides. However, due to the complexity of landslide deformation, equipment accuracy, and data transmission interference, the displacement obtained by existing monitoring equipment has random errors, resulting in inaccurate landslide warning. In this paper, a tangent angle model based on the improved filtering method is proposed for the early warning of landslides. An improved filtering method is proposed based on the least-square method to smooth the measurement errors of monitoring equipment, considering both “data smoothing effect” and “accelerated deformation real-time determination”. By comparing the least-squares method and the improved filtering method, the results demonstrate that the improved filtering method can more effectively smooth the fluctuation of the deformation rate. The amplitude of the error-induced tangent angle warning value fluctuation can be reduced, which provides correct early warning. The improved method provides a new approach for the real-time filtering of subsequent landslide deformation data.http://dx.doi.org/10.1155/2024/9173882 |
| spellingShingle | Xing Qi Chao Hu Ruliang Cao An Improved Filtering Method and Application of Landslide Deformation Monitoring Advances in Civil Engineering |
| title | An Improved Filtering Method and Application of Landslide Deformation Monitoring |
| title_full | An Improved Filtering Method and Application of Landslide Deformation Monitoring |
| title_fullStr | An Improved Filtering Method and Application of Landslide Deformation Monitoring |
| title_full_unstemmed | An Improved Filtering Method and Application of Landslide Deformation Monitoring |
| title_short | An Improved Filtering Method and Application of Landslide Deformation Monitoring |
| title_sort | improved filtering method and application of landslide deformation monitoring |
| url | http://dx.doi.org/10.1155/2024/9173882 |
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