CAJ | 학술논문

运用用突水系数法进行突水危险性预测，再通过分析工作面的水压、含水层、隔水层厚度(底板岩层厚度)、底板采动破坏深度、断层落差(对完整底板而言断层落差取零)作为预测底板突水的控制参数建立BP神经网络模型进行底板突水量预测，以达到安全开采该采区10煤层的目的。
운용용돌수계수법진행돌수위험성예측，재통과분석공작면적수압、함수층、격수층후도(저판암층후도)、저판채동파배심도、단층락차(대완정저판이언단층락차취령)작위예측저판돌수적공제삼수건립BP신경망락모형진행저판돌수량예측，이체도안전개채해채구10매층적목적。
With the information of 10 seam in the No.101, 102 winning districts in the Yuandian Yuanyi coal mine in Huaibei coal mining area, Application of water inrush coefficient method to predict the water inrush risk,Through the analysis of working face water, aquifer, aquiclude thickness (the thickness of rock bottom), coal seam floor failure depth, the fault throw(for complete floor, the fault throw and zero)as the control parameter prediction of water inrush from floor to establish the BP neural network model for predicting water inrush, in order to achieve the safe mining of the mining area of 10 coal seam the purpose of.