Realization of visualization multivariable prediction method for gas content based on grey system theory

In view of problem of low reliability caused by single-factor gradient method for predicting gas content in coal mine, the paper proposed a method of visualization multivariable prediction for gas content based on grey system theory, and established overall framework of the prediction model, presented flow of grey modeling numerical algorithm realized by dynamic link database. It detailedly introduced realization process of the prediction method combined with real condition of a Mine as follows: obtaining original data of gas content from digital gas geologic map, setting up related parameters for modeling, establishing multivariable prediction model for gas content, choosing point or batch prediction for gas content prediction, analyzing error of prediction result and displaying the result with graphic information. The prediction method improves prediction efficiency and scientificity of decision making, provides an intuitive, convenient and efficient visualization prediction method for daily gas content prediction, management and decision making in coal mine.