Study On The Prediction Method Of Coal Quality And Development Of Information Management System

This paper focuses on the coal marketing process exists between the buyer and the seller's price disputes and other issues,the use of data analysis and forecast theory,Pingdingshan coal mine 2016 coal quality test data based on in-depth exploration and research,using R statistical tools of water on coal quality test data of Pingdingshan coal mine in a period of time(Mad),ash(Aad)volatile(Vad),sulfur(St,AD)and heat(Qb,AD)to analyze the correlation between,and establish the multiple regression model,prediction model is established using stepwise regression method,realize the rapid prediction of heat of coal,and coal quality management information system based on ASP.NET MVC framework design and development of B/S mode the.This paper first describes the coal quality prediction method and the research background of coal quality information management system at home and abroad.Then the paper introduces the theory and the technical framework of the information management system development.Then the R language analysis tools on the parameters of coal and correlation of the calorific value is based on the analysis,and the regression model,and then using the stepwise regression method of parameter selection,the optimal model,and validates the validity of the model.Use the prediction model to predict the calorific value of coal quickly and accurately,so as to reduce the disputes between buyers and sellers.Then,the framework and database of coal quality information management system are designed in detail.Finally,the research contents of this thesis are summed up,the establishment of rapid prediction of coal heat data model,and to verify the model,and develop a set of coal quality management information system,and the further research work is prospected.