Research On Gasification Of Coal Quality Management System

With the improvement of China’s coal mining mechanization degree and the increase of mining depth, the quality information management in the process of coal mining level will also increase. For extensive coal chemical enterprise in the coal industry, the incoming raw coal of coal quality management involved in different parts of the different management departments,purely human complete handling of coal quality data,has been unable to meet the needs of the development of coal enterprises in the new period.This paper analyzed the coal gasification with coal quality management in the whole business process, focuses on gasification coal seam with coal and coal quality management involves, process and incoming raw coal, coal quality information management process,at the same time complete the coal chemical industry base of coal quality characteristics of coal gasification in supply of raw materials demand and coal quality management informatization research objectives.Secondly, on the basis of analyzing the incoming raw coal of coal quality management process, build unary linear regression method based on the theory of the regression and BP neural network prediction model, analyzed the characteristics of two kinds of prediction methods. Then in the MATLAB programming environment based on the theory of unary linear regression prediction model, and through the sulfur content in coal seam coal, ash content, calorific value index of the experimental data for comparison and analysis of the results of two kinds of forecasting methods.Finally, using the user-defined Structs open source framework 2.0, Spring 3.0,MyBatis and FreeMarker technology, designed and implemented based on the browser server coal gasification and coal quality information management system, and USES the Java mixed with the MATLAB programming technology, the application of the BP neural network forecasting method of nonlinear into the system.Research results of application in a coal chemical industry base of gasification coal enterprises coal quality management business process, the results show that the gasificationis realized by using information technology based on the framework of SSM coal quality management process, solve the incoming raw coal quality information sharing degree is not enough, the coal is realized by using the nonlinear prediction method of coal quality prediction data, good to meet demand for management information system of coal chemical industry base management level, reduces the gasification equipment failure rate due to coal quality is not clear. Effectively improve the precision incoming raw coal quality management and the economic benefits of coal chemical industry enterprises.