Slope instability probability dynamic evaluation system based on multi-source data and artificial intelligence

The dynamic assessment system for slope instability probability using multi-source data and artificial intelligence solves the problems of poor early warning timeliness and data dependence in traditional slope monitoring methods. It enables the capture of early and subtle signs of slope instability and the revelation of risk factors, thereby improving the accuracy and reliability of early warning.

CN122154458APending Publication Date: 2026-06-05HEFEI UNIV OF TECH
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Patent Information

Application Number
CN202610258456.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-04
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Traditional slope monitoring methods cannot effectively capture early, subtle signs of instability, have poor early warning timeliness, are difficult to cope with nonlinear and sudden instability modes, and rely on human experience and have low data collection frequency.

Method used

The slope instability probability dynamic assessment system based on multi-source data and artificial intelligence acquires data on macroscopic surface deformation, fine slope structure, and internal physical field of soil and rock mass through a multi-dimensional state perception module. Combined with the intelligent assessment module, it calculates response sensitivity, field state offset, and structural damage index to determine the stability level and warning level and trigger corresponding measures.

Benefits of technology

It enables the detection of early, subtle signs of slope instability, improving the accuracy and reliability of early warning systems. It can reveal the dominant factors contributing to increased risk and prevent significant losses caused by sudden landslides.

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Abstract

The invention provides a slope instability probability dynamic evaluation system based on multi-source data and artificial intelligence, and relates to the technical field of slope safety monitoring and big data processing. The multi-source heterogeneous data acquisition module is used for acquiring multi-source heterogeneous data such as surface macroscopic deformation, a slope fine structure and a rock-soil body internal physical field from macroscopic remote sensing, close-range observation and a deep sensing array; and the intelligent evaluation module is used for respectively calculating a response sensitivity index, a field state migration degree index and a structure damage degree index from three dimensions of external disturbance response, macroscopic state evolution and internal microscopic damage. And carrying out weighted fusion on the three indexes to generate a comprehensive stability index, thereby realizing dynamic and accurate judgment on the slope stability grade and the early warning grade, and triggering corresponding grading response measures. According to the invention, an evaluation system from the outside to the inside and from fruits to causes is established, weak precursor information before instability can be effectively captured, and the accuracy, reliability and timeliness of early warning are improved.
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