长沟峪煤矿矿井涌水量预测研究

Prediction Study on Mine Inflow in Changgouyu Coal Mine

鉴于矿井涌水影响因素的复杂性,建立了基于BP神经网络矿井涌水量预测模型,并运用该模型对长沟峪煤矿+141水平涌水量进行预测。通过预测结果可知,该模型具有较高的精度,将对预测该矿矿井涌水量起到一定的指导作用,并为矿井水利用规划的制定奠定了基础。

Based on the complex nature of influencing factors of mine inflow a prediction model of BP neural network is made for mine inrush water, and the model is used to predict ＋ 141 level mine inflow in Changgouyu Coal Mine. The prediction result shows that the prediction model has high accuracy, plays a guiding role for predicting mine inrush water and lays foundation for the formulation of mine water.