Research And Realization On Coal Quality Prediction And 3D Visualization Of Working Face In Coal Mine

Coal is China's main energy resources.Scientific and rational mining has been the importance of coal enterprises.Understanding of coal quality changes in the trend and the distribution of coal structure for coal enterprises have important guiding significance on production plans and mining programs.The method of coal quality prediction is to interpolate the prediction area according to the sample coal quality information,so as to achieve the purpose of predicting the coal in the range or at any point.The traditional interpolation method does not consider the spatial autocorrelation between sample points,and it is easily affected by the change of sample points.Based on the outlier analysis and normal verification of the sample data,this paper gives the specific nmethod of Kriging for coal quality prediction.In order to select the step size before the fitting of variogram function,the average nearest neighbor distance is used.The experimental results show that the optimal step size is better than the traditional empirical method to fit the better variogram model.Under the optimal step size,the coal quality prediction experiment is carried out based on the spherical model,the exponential model and the Gaussian model respectively,and the most suitable data for this model are exponential model.In the study of 3D visualization of underground working face,the mathematical expression of the general polynomial surface can't be expressed accurately or even impossible for the complex surface.Therefore,this paper introduces the B-spline into the layered model of the working face.By analyzing the data characteristics and storage structure of coal seam samples,the uniform expression of the single-layer model and the multi-layer model are given based on the B-spline surface.And through the reverse control point,the surface can be accurately passed through the known sample points.In this paper,the virtual coal sample solution is given for the phenomenon of missing layer in the process of multi-layer model.The experimental results show that the B-spline surface calculation is simple and stable,and the better modeling effect can be obtained.Based on the deep analysis of the advantages of three-dimensional modeling of the browser and the three-dimensional modeling principle of Three.js,this paper realizes the 3D visualization of the browser-side working face.In order to reduce the coding coupling,an object-oriented three-dimensional data organization model is designed and a data-driven 3D Modeling Scheme is given.The problem of the data request delay and the security of modeling script file is optimized,and the dynamic relationship between the coal quality and the 3D working face is realized based on the model picking.In the rotation,zoom,translation and other interactive operations,the page can make a smooth responseFinally,through the use of J2EE standards,developed with the basic information management,automatic report generation,coal quality information prediction and working face 3D visualization of the Web system,and the experimental results are good,which proves the feasibility and practical application value of the research results.