Rock burst intelligent early warning and prevention system and method based on large language model

Through the intelligent early warning and prevention system of impact ground pressure based on the large language model, using high-precision sensor group and multi-source data fusion technology, accurate prediction of impact ground pressure hazard level and intelligent decision-making of optimal pressure relief measures are achieved, solving the problems of multi-source data fusion and decision-making lag in traditional methods, forming closed-loop control to ensure the safe production of mine.

CN120338434APending Publication Date: 2025-07-18CHINA UNIV OF MINING & TECH
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Patent Information

Application Number
CN202510699168.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-28
Publication Date
2025-07-18

AI Technical Summary

Technical Problem

The traditional tunnel stability evaluation method has problems such as the lack of multi-source data fusion mechanism, lagging decision-making of pressure relief measures and lack of interactive capabilities in early warning systems, which makes it difficult to prevent and control measures from impact ground pressure in a timely and accurate manner, and cannot achieve advanced warning and intelligent decision-making.

Method used

The impact ground pressure intelligent warning and prevention system based on the large language model is adopted, and multi-source monitoring data is collected in real time through a high-precision sensor group, combined with the impact ground pressure prediction module and the hazard level grading module for intelligent prediction, and the adaptive optimization decision module for anti-impact pressure relief measures are used to output the optimal pressure relief measures, and combined with the human-computer interaction module for engineering interpretation and natural language interaction.

Benefits of technology

It realizes accurate prediction of impact ground pressure hazard levels and intelligent decision-making of optimal pressure relief measures, can prevent and control impact ground pressure in a timely and accurate manner, provide engineering interpretation and natural language interaction, form closed-loop control, and improve the intelligence of mine safety production.

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Abstract

The invention discloses an intelligent rock burst early warning and prevention system and method based on a large language model, and the system is characterized in that a rock burst monitoring and early warning module comprises a high-precision sensor group, a rock burst prediction module and a rock burst danger level grading module, and is used for obtaining a grading result of a rock burst danger level; the anti-scour pressure relief measure self-adaptive optimization decision module is used for outputting optimal pressure relief measures and pressure relief parameters; the man-machine interaction module based on the large language model is used for performing engineering interpretation and man-machine interaction; the method comprises the following steps: predicting a rock burst danger early warning result by using the rock burst prediction module based on preorder multi-mode monitoring data; obtaining a grading result of an impact danger grade by utilizing a rock burst danger grade grading module; outputting an optimal pressure relief measure and a pressure relief parameter by using an anti-scour pressure relief measure self-adaptive optimization decision module; and a man-machine intelligent interaction module based on a large language model is used for providing intelligent decision support. According to the system and the method, the rock burst prevention and control scheme can be accurately and intelligently realized in advance.
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