A coal mine water exploration and drainage intelligent management system and method based on multi-source perception
By integrating multi-source sensing data and using an intelligent decision-making system, the accuracy and safety issues of coal mine water exploration and drainage work have been solved. Real-time monitoring of water accumulation zone boundaries and optimization of borehole design have been achieved, improving the scientific nature and safety of coal mine water hazard prevention and control. This system is applicable to safe production in mines under complex hydrogeological conditions.
Patent Information
- Application Number
- CN202610298768.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-12
- Publication Date
- 2026-06-12
AI Technical Summary
Current coal mine water exploration and drainage work relies on manual experience and traditional management models, lacking real-time dynamic modeling of water accumulation areas, optimization of borehole design, monitoring of construction process, and planning of emergency evacuation routes. This results in low accuracy, safety, and efficiency, making it difficult to meet the safety production needs of modern coal mines. In particular, the reliability and controllability of water hazard prevention and control are insufficient under complex hydrogeological conditions.
By integrating multi-source sensing data such as hydrological sensor data, mine geophysical exploration results, borehole trajectory monitoring, and intelligent video analysis, a closed-loop dynamic early warning management system for water hazards is constructed. This system enables real-time monitoring and intelligent decision-making at the boundaries of waterlogged areas, automatically generates borehole designs, evacuation routes, and emergency responses, and forms a closed-loop intelligent management and control platform that integrates "monitoring—design—construction—evaluation—emergency response".
It significantly improves the accuracy and timeliness of determining the extent of water accumulation, enhances the efficiency and safety of borehole design, provides an objective evaluation of water release effects, shortens emergency evacuation time, breaks down data silos, improves overall management efficiency and informatization level, and reduces the probability of sudden water inrush accidents.
Smart Images
Figure CN122198480A_ABST