Research on design and application of multi-dimensional monitoring and early warning system for slope safety

Chaobo Lu; Hui Huang; Hongliang Jiang; Tingwei Yang

doi:10.1117/12.3026969

8 April 2024 Research on design and application of multi-dimensional monitoring and early warning system for slope safety

Chaobo Lu, Hui Huang, Hongliang Jiang, Tingwei Yang

Author Affiliations +

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130904Z (2024) https://doi.org/10.1117/12.3026969
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

Due to the limitation of many conditions such as topography and geomorphology, the slope structure is easy to cause geological disasters such as landslides, collapses, and debris flows, and instability and uneven settlement occur, which seriously threatens highway operations and people ‘s lives and property safety. Therefore, it is necessary to carry out multi-dimensional slope safety monitoring and early warning system development research, monitoring and early warning of slope structure safety status and disease characteristics. Aiming at the safety status and disease characteristics of slope structure, this paper discusses how to obtain the deformation trend and disease dynamic change of slope in real time, and recommends a multi-dimensional monitoring and early warning system for slope safety, which can control the safety status of slope in real time and dynamically, improve the ability of slope disaster prevention and mitigation, and then ensure the safety and smooth flow of highway traffic.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chaobo Lu, Hui Huang, Hongliang Jiang, and Tingwei Yang "Research on design and application of multi-dimensional monitoring and early warning system for slope safety", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130904Z (8 April 2024); https://doi.org/10.1117/12.3026969

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