Model Of Difficulty Coal Seam Water Injection Based on Bayes Discriminant Analysis

Abstract

Based on the basic idea of Bayes discriminant analysis method, the Bayes discriminant analysis model for the difficulty of coal seam water injection was established. This model selects seven indicators, namely burial depth, crack development degree, porosity, wetting edge angle, solidity coefficient, saturated water increment, and gas pressure, as discriminant factors. The difficulty of coal seam water injection is divided into three levels as three normal populations for Bayes discriminant analysis. Taking 23 groups of actual data of coal seam water injection project as training samples, Bayes discriminative model is established. Perform cross validation on 23 sets of measured data to obtain the accuracy of the model. Finally, Bayes discriminative model is applied to the actual coal seam water injection project. The research results show that the Bayes discriminant analysis model has a lower misjudgment rate and can be better applied in practical engineering.