Intelligent early warning, prevention and control system and method for slope damage of schist reservoir area

By using a data fusion and knowledge base construction module, a hybrid early warning model, and a cloud-edge collaborative deployment platform, the slope damage mechanism knowledge base is dynamically adjusted, which solves the problem of lag in existing early warning systems, realizes early identification of slope damage and closed-loop feedback of prevention and control measures, and improves the accuracy and reliability of the early warning system.

CN122454698APending Publication Date: 2026-07-24FUJIAN WATER CONSERVANCY & HYDROPOWER RES INST +1
0 Cites 0 Cited by

Patent Information

Application Number
CN202610430536.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-02
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing slope early warning systems rely on static mechanical parameters and purely data-driven models, resulting in delayed early warnings under complex working conditions and a lack of a closed-loop calibration mechanism for disaster prevention and control effects on the underlying algorithms.

Method used

By employing a data fusion and knowledge base construction module, combined with a Bayesian update algorithm and a hybrid early warning model, the slope damage mechanism knowledge base is dynamically adjusted. By utilizing chain-based physical criteria and an artificial intelligence time-series prediction network, an early warning logic driven by both mechanism and data is realized. Furthermore, a feedback mechanism for the prevention and control decision support module is implemented through a cloud-edge collaborative deployment platform.

Benefits of technology

It improves the accuracy and timeliness of early warning, enables early identification of local fracture characteristics inside the rock mass, realizes quantitative assessment of disaster prevention measures and self-calibration of system parameters, and enhances the physical reliability and accuracy of slope damage monitoring.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of geological disaster monitoring and early warning, and discloses an intelligent early warning, prevention and control system and method for slope damage in a schist reservoir area, and the system comprises a data fusion and knowledge base construction module, an intelligent early warning analysis module, a cloud edge collaborative deployment platform, and a prevention and control decision support module. And the data fusion and knowledge base construction module accesses multi-source engineering data, operates a Bayesian updating algorithm, and calculates and updates a slope damage mechanism knowledge base. And the intelligent early warning analysis module executes logical operation by using a hybrid early warning model coupled by a chain type physical criterion and an artificial intelligence time sequence prediction network, and outputs an early warning signal. And the cloud edge collaborative deployment platform executes field model reasoning and cloud iterative training. The prevention and control decision support module matches a disposal plan after receiving the early warning signal, and transmits feedback data of on-site disposal back to the corresponding module. According to the method, mechanism and data dual-drive advanced identification is realized, and self-adaptive calibration and logic evolution of system parameters are completed through a disaster prevention experience closed-loop backflow mechanism.
Need to check novelty before this filing date? Find Prior Art