Coal mine water disaster prevention and control system and method based on artificial intelligence

By deploying high-precision sensors and deep learning models underground in coal mines, combining integrated learning and VR/AR technology to build an intelligent decision-making system, the problem of insufficient real-time monitoring and data accuracy in traditional coal mine water damage prevention and control is solved, and accurate prediction and timely prevention and control of water damage is achieved, and the scientificity and efficiency of prevention and control work is improved.

CN120410201APending Publication Date: 2025-08-01HUATING COAL GRP CO LTD +1
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Patent Information

Application Number
CN202510507364.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-22
Publication Date
2025-08-01

AI Technical Summary

Technical Problem

Traditional coal mine water damage prevention and control methods rely on manual experience and routine geological analysis, making it difficult to achieve real-time and accurate monitoring of key underground parts, resulting in delayed discovery of hidden dangers and low data accuracy, unable to adapt to dynamic changes in complex geological environments, and lack scientificity and timeliness.

Method used

The coal mine water damage prevention and control system is adopted based on artificial intelligence, and multi-dimensional data is collected by deploying high-precision sensors underground, combining deep learning and integrated learning to build geological models, conduct water damage risk prediction and intelligent decision-making, use VR/AR technology to assist in implementation, and realize remote control and emergency response of equipment.

Benefits of technology

Accurate prediction and timely prevention and control of coal mine water damage have been achieved, the scientificity and efficiency of prevention and control work have been improved, and the possibility and losses of accidents have been reduced.

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Abstract

The invention discloses a coal mine water disaster prevention and control system and method based on artificial intelligence. The system comprises a data acquisition module, a data transmission module, a data preprocessing module, a geological modeling module, a water disaster prediction module, a risk assessment module, an artificial intelligence decision module, an equipment control module, an emergency response module and a data management updating module. Sufficient time is won for prevention and treatment work, and the possibility of accidents is effectively reduced; early warning is realized, and the timeliness and accuracy of disaster prevention and control are remarkably improved; sufficient time is won for prevention and treatment work, and the possibility of accidents is effectively reduced; personnel safety evacuation and smooth rescue work are powerfully guaranteed, and disaster loss is reduced to the maximum extent; the efficiency and success rate of prevention and control work are improved, and economic losses and casualties caused by water disasters are reduced; the control effect and the system performance are continuously improved, and the long-term safety production requirement is met.
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