Prediction of mine water inflow based on correlation analysis of production factors
Based on the production data of typical working face,the correlation analysis between mine water inflow and pro-duction factors is carried out,and the mining area,raw coal output and mining length,which are significantly correlated with mine water inflow,are finally determined to be used as predictive variables.Using the data of monthly mining area,raw coal production and mining length,multiple linear correlation regression equation is obtained to calculate the predicted value of mine water inflow.The relative difference method is used to evaluate the prediction results,and the prediction accuracy is analyzed:The economic grade accounts for 62.5%,and the economic +safety grade accounts for 95.2%.71%of the pre-dicted values falls within one remaining standard deviation range of the measured values,indicating that the prediction accu-racy of the multiple linear correlation regression equation obtained by the correlation(regression)analysis method on the ba-sis of comprehensive consideration of production factors such as mining area,raw coal production and mining length is high.The study has higher reference value for coal mine.
mine water inflowcorrelation analysismining arearaw coal outputmining lengthaccuracy class
国家科技期刊平台
NSTL
万方数据
维普
