Abstract:

Aiming at the characteristics of the large scale coal enterprises, Analysing the business process of coal quality analysis whole process.The paper proposes four-layer architecture realizes informationization of coal quality analysis whole process based on B/S. From the stage of typing in coal seam sample base data, graphical displaying of the work face coal quality data to generating the monthly coal quality analysis document of run-mine coal and commercial coal. Every stages analysis the coal quality. Multiple linear regression and RBF neural network method of combining effectively improve the accuracy of the forecasts of traditional coal.To improve coal quality information technology an effective solution.

Key words: coal quality analysis, three dimensional model of the coal seam, multivariablelinearregressionmodel, RBF, four-layer architecture