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利用三维激光扫描技术进行滑坡稳定性评价和变形监测。

Utilization of 3D Laser Scanning for Stability Evaluation and Deformation Monitoring of Landslides.

机构信息

Changzhou Vocational Institute of Engineering, Changzhou Jiangsu 213164, China.

School of Environmental and Safety Engineering, Changzhou University, Changzhou Jiangsu 213164, China.

出版信息

J Environ Public Health. 2022 Jul 21;2022:8225322. doi: 10.1155/2022/8225322. eCollection 2022.

Abstract

Three-dimensional laser scanning technology can comprehensively and accurately monitor slope deformation. To conduct deformation monitoring and stability evaluation of the Changzhou Shunguoshan landslide, in this paper, the causes of the Changzhou Shunguoshan landslide were analyzed. Consequently, 3D laser scanning technology and the traditional monitoring methods such as data from the total station were compared. The point cloud data provides big data support for landslide deformation monitoring and landslide stability early warning. Meanwhile, the landslide stability was evaluated by analogy with existing studies on slope deformation monitoring data. Results show that the three-dimensional laser scanning monitoring data is similar to the total station monitoring data. The overall deformation of the Shunguoshan landslide is no more than ± 0.0015 m; the deformation of the Liyang slope is less than ±0.09 m, which is far less than the analog slope deformation monitoring data. The slope construction and monitoring process are in a stable state.

摘要

三维激光扫描技术可全面、准确地监测边坡变形。为了对常州舜过山滑坡进行变形监测和稳定性评价,本文分析了常州舜过山滑坡的成因。在此基础上,将三维激光扫描技术与传统监测方法(如全站仪数据)进行了对比。点云数据为滑坡变形监测和滑坡稳定性预警提供了大数据支持。同时,利用现有边坡变形监测数据对滑坡稳定性进行类比评估。结果表明,三维激光扫描监测数据与全站仪监测数据相似。舜过山滑坡整体变形不超过±0.0015m;溧阳边坡变形小于±0.09m,远小于类比边坡变形监测数据。边坡施工和监测过程处于稳定状态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef62/9334046/250bf9ad8445/JEPH2022-8225322.001.jpg

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