Research On Coal Quality Forecasts And Visualization Of Coal Quality Information For Coal Working Face

The coal quality is the life of coal enterprises, is an important guarantee to capture themarket. Coal quality management of coal face has a decisive role in the quality of coal.Usingcomputer and network technology to realize coal quality forecast and coal quality informationvisualization of coal face, which will make the coal staff understand the coal seam structureintuitively and accurately, it has an important practical significance and application value forunderground coal mining work.This paper first introduces the overall business processes of coal quality management,it’s emphasis is coal face’s quality management, basic information and traditional method ofcoal quality forecast.Based on this information, researching the prediction method of multipleregression and RBF neural network which based on the linear and non-linear. Using the leastsquare method to estimate coefficient of multiple linear regression, verifying the applicabilityof regression equation by F-test and T-test; Using the self-organization learning algorithm tocalculate the center of RBF basis function,then compare and analyze the forecast results ofexperimental data.Then examined the interpolation of coal face’s curve and surface.Piecewise continuousthree Bezier curve interpolate working face sketch. The curve improved by the boundary andadding nodes, so that the improved method avoid corss-border between level curves; For coalseam surface structure were studied inverse distance weighted interpolation and ordinarykriging interpolation model and compare them.Subsequently, research three-demensional modeling of coal face information based onJavaScript technology. First introduced JavaScript, Ajax, SVG and VML, and then introducedthe mathematical principles of three-dimensional visualization, based on the data of coalseam’s sample,combining the JavaScript language and3D visualization technology, realizing the three-dimensional dynamic display of face;s coal quality information under the networkenvironment.Finally, under the development of Java Eclipse, Buliding the coal prediction and coalquality information visualization system based on the framework of Freemarker+Webwork+Spring+Ibatis.This system contains data integration, aggregating and reporting, coal qualityforecasting and geological maps,which verify the feasibility and effectiveness of the researchin this article.