Prediction of mine water inflow based on optimized grey correlation method
Predicting the water inflow of a mining face is one of the main measures to prevent water hazards in mines.Predicting the water inflow of a mining face using the grey correlation method has the advantages of requiring few samples,simple calculations,short computation time,high prediction accuracy,and not being demanding on the original data,and has strong adaptability.Taking the Li Lou coal mine as the research ob-ject,this study uses the simple analogy method and the optimized GM(1,1)model(grey correlation method)to predict the water inflow of the working face.The results show that the prediction accuracy of the opti-mized GM(1,1)model reaches 96.303％,which is more accurate than the simple analogy method.The pre-diction through this model can meet the demand for water inflow forecasting,and choosing the appropriate forecasting model can make more accurate predictions of the water inflow at the working face,thereby im-proving the efficiency and safety level of coal mining.
grey correlation methodsimple analogy methodmine water inflowprediction
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