基于多源监测数据的煤矿水文地质分区实践研究

Practical Research on Hydrogeological Zoning in Coal Mines Based on Multi-source Monitoring Data

  • 摘要: 针对矿区水文地质条件复杂、传统分区方法精度不足等问题,本研究以左权鑫顺煤业为研究对象,提出了一种基于多源监测数据的水文地质分区方法。该方法建立了包含钻探、物探和水文监测的综合数据采集体系,并开发了基于D-S证据理论、卡尔曼滤波、模糊综合判断、多任务学习框架及时空注意力网络的多源数据融合与分区评价模型。在实际应用中,该方法成功划分出矿区的5种水文地质类型,为采煤工作面布置和防治水管理提供了科学依据。经过12个月的实践应用,该方法使矿井涌水量预测准确率达到92%,有效指导了安全生产。该研究成果为复杂条件下的煤矿水文地质工作提供了宝贵的实践参考。

     

    Abstract: In view of the problems of complex hydrogeological conditions, insufficient accuracy of the traditional zoning method and others in mining areas, this study takes Zuoquan Xinshun Coal Industry as the research object and proposes a type of hydrogeological zoning method based on multi-source monitoring data. This method constructs a comprehensive data acquisition system that includes drilling, geophysical exploration, and hydrological monitoring, and develops a multi-source data fusion and zoning evaluation model based on D-S evidence theory, Kalman filtering, fuzzy comprehensive judgment, multi-task learning framework, and spatiotemporal attention network. In the practical application, this method successfully divides five hydrogeological types of the mining area, providing a scientific basis for the layout of coal mining faces and the management of water prevention and control. After 12 months of practical application, this method enables the accuracy rate of mine water inflow prediction to reach 92%, effectively guiding the safe production. This research results provide valuable practical references for hydrogeological works in coal mines under complex conditions.

     

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