A real-time signal early warning system based on geotechnical engineering slope monitoring

CN121963446BActive Publication Date: 2026-06-23NO 1 CONSTR ENG CO FUJIAN PROV +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NO 1 CONSTR ENG CO FUJIAN PROV
Filing Date
2026-04-01
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing geotechnical engineering slope monitoring and early warning systems lack standardization in data acquisition and preprocessing, lack physical mechanism support for multi-source data fusion, and the early warning judgment logic does not match the physical laws of slope instability. Furthermore, the early warning release format is singular and the emergency response linkage is poor, resulting in problems such as low effectiveness of monitoring data, large bias in early warning judgment, and untimely emergency response.

Method used

By deploying multi-source sensors to collect data in real time, effective rainfall, pore pressure response and microseismic damage functions are constructed based on physical mechanisms to generate the internal disturbance index of the slope. Combined with the critical state early warning discrimination module and the multimodal early warning release module, the primary and secondary classification, unbiased fusion and dynamic discrimination of data are realized, and a hierarchical early warning mechanism and multimodal linkage are established.

Benefits of technology

It improves the effectiveness and stability of monitoring data, accurately characterizes internal slope disturbances, dynamically identifies instability risks, and achieves accurate, real-time, and emergency response capabilities in early warning, providing reliable safety and prevention support.

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Abstract

The application discloses a real-time signal early warning system based on geotechnical engineering slope monitoring and belongs to the technical field of geotechnical engineering safety monitoring. The system comprises four modules of multi-source data sensing, multi-field coupling mechanism analysis, critical state early warning discrimination and multi-modal early warning release. Four types of slope data are collected and classified as primary and secondary, and the data validity is ensured through standardized preprocessing. Based on the physical mechanism, effective rainfall, pore pressure response and microseismic damage function are constructed, and the internal disturbance index of the slope is generated by coupling with the geometric mean method. Based on the critical state line theory, the dynamic critical displacement rate function and the ratio type early warning index are constructed, and after being modified and smoothed, the discrete early warning grades are generated by combining the time accumulation mechanism. The grading early warning signals are output according to the early warning grades, the emergency equipment is linked, and closed-loop management is simultaneously performed. The application realizes the unbiased coupling and dynamic critical discrimination of multi-source data of the slope, and provides reliable technical support for the safety prevention and control of the slope engineering.
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