| With the rapid development of China’s economy, the demand for energy especiallyfor coal resources is growing year by year. In China, coal mining has generally enteredthe “Three Underâ€(mining under surface building, mining under river, and miningunder railway)mining stage. Expanding range and improving strength in coal mining,making people pay more attention to the study of visual prediction of mining subsidence.The developments of GIS and visualization technology for three-dimensional datafield provides a more scientific method for visualized predictions of mining subsidence,make data processing and analysis more convenient, and the forecast results moreintuitive. Based on ArcObjects platform, using COM technology to develop GISapplications, provide a new ideal for3D visualization system development of miningsubsidence, which is becoming the focus of attention.This research using C#and COM technology to develop the visual predictionsystem of mining subsidence in Visual Studio2010, based on probability integralmethod andArcObjects. The main research work is as follows:(1) Summarize the overseas and domestic research status about the field ofmining subsidence, and analyze the current deficiencies in prediction of miningsubsidence and its visualization, after analyzing a large number of mining subsidencetheory and practice.(2) Using C#to develop subsidence prediction program based on probabilityintegral method in Visual Studio2010, converted the result into a common data formatfile that matched various software and realize dimensional visualization, based onMicrosoft.NET Framework.(3) Using C#and COM technology to develop the visual module which can becalled in ArcGIS environment, based on ArcObjects. Then perform the calculationmodule and let the results coupled with GIS to achieve the goal of three-dimensionalvisualization.(4) Take the6300face in BaoDian Coal Mining for instance to calculate the mining subsidence and accomplish the two-dimensional and three-dimensional visualization.Mining subsidence prediction and visual analysis are the basis of mining surfaceenvironmental resources damage assessment. It can provide fast, easy and correct datasupport for the evaluation of mining surface environmental resources damage if makefull use of scientific computer software and develop a flexible, efficient and practicalvisual subsidence prediction system. |