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在对某矿水文地质条件分析的基础上,讨论了其充水因素并确定了大型水体进入该矿井的3种途径。针对水体通过导水裂隙带进入矿井的这一途径,运用简易水文地质测试法与仰斜钻孔双端堵水导高观测法研究了导水裂隙带的发育规律,确定了裂采比为8.3～8.8范围,最后构建了包含采厚、采深、覆岩厚度、顶板抗压强度、倾角、泥岩比例6个影响因子的导水裂隙带的BP神经网络预测模型,通过实测数据证实了该模型具有良好的实用性。研究结果为该矿在大型水体下安全采煤、防水煤柱的留设提供了依据。
Based on the analysis of hydrogeological conditions in a mine, the factors of water filling were discussed and three ways of entering large water body into the mine were determined. In view of the way that water enters the mine shaft through the water-conducting fractured zone, the development law of water-conducted fractured zone has been studied by using simple hydrogeological test method and double-end water diversion guide high elevation observation method. The fracturing-mining ratio is 8.3-8.8 Finally, a BP neural network prediction model of water-bearing fractured zone with six influencing factors of mining thickness, mining depth, overburden thickness, roof compressive strength, dip angle and mudstone ratio was constructed. The measured data show that the model has a good Practicality. The results provide the basis for safe mining of coal and water-proof pillars in large-scale water bodies.