Prediction And Visualization System Development Of Mining Surface Deformation Based On GIS

Mining subsidence causes surface deformation,which leads to the decrease of groundwater level,surface cracking,reduction of arable land,uneven settlement of houses,and so on.This series of disastrous consequences have caused huge economic losses.In order to minimize the loss while maximizing mining,it is necessary to make a correct prediction of the possible environmental damage and economic loss caused by the proposed mining plan before mining,and take relevant measures to reduce the environmental impact caused by mining,so as to achieve sustainable development.The serious consequences of surface deformation have attracted more and more attention of scholars.Many workers in China have made many contributions in theory and application,and have made remarkable achievements in mining subsidence theory and damage analysis.However,the application of mining subsidence prediction and damage analysis is relatively weak,which does not fully reflect the value of surface deformation prediction.With the development of computer technology,GIS has penetrated into many industries in China,but there are few studies on mining subsidence application.However,the monitoring,control and prevention of mining subsidence are complicated in space and time.The application of GIS in mining subsidence analysis can fully reflect many advantages of GIS,such as its spatial query function can quickly query and statistics the scope of subsidence area and the situation of ground objects in the region.Based on the mining situation and actual demand of the mining area,the related data of mining are analyzed and the mining subsidence is predicted.The predicted results are expressed and analyzed in three dimensions with topographic data,so as to provide a scientific basis for comparison,optimization and selection of mining schemes,and to provide an auxiliary choice for environmental impact assessment and comprehensive treatment of subsidence areas.This paper comprehensively analyses the relevant professional literature at home and abroad,systematically summarizes the development process and research status of mining subsidence theory,and briefly expounds the development history of geographic information system and its application status in mine management.This paper discusses the objectives,functions,operation and data organization and management of the program to be developed,expounds the basic theory and calculation method of mining subsidence prediction,and probes into the combination of GIS and subsidence prediction analysis.This paper introduces the calculation formulas of inclination,subsidence,curvature deformation,horizontal movement and horizontal deformation in surface deformation of horizontal and inclined seam mining based on probability integral method,and compiles relevant program codes for mining subsidence of rectangular working face and inclined seam mining.The analysis method of predicted results is discussed.The visualization expression method of mining subsidence based on DEM of mining subsidence area and the spatial analysis function of topographicdata and three-dimensional subsidence data of mining subsidence area are established by using GIS.With the help of Visual Studio 2010 program development tool,this prediction and analysis system is developed.It not only realizes the rapid transmission and invocation of information in the whole process of program operation and operation,but also realizes the multiple visualization of calculation results analysis and retrieval in the process of mining subsidence prediction.It can adjust and optimize the prediction model according to the current observation data and prediction data,and then more effectively predict the deformation law of surface movement.Finally,the system is used to predict the surface subsidence of mining in Jianshanying Coal Mine,Faer,Guizhou Province.The system is optimized repeatedly by comparing the predicted results with the measured data,which improves the prediction accuracy of the system and provides a reliable basis for disaster prevention and environmental impact assessment.