Dangerous Assessment Of Water-inrush From Bottom Based On Coupling Technique Of MapObjects And ANN

The North China type coal field is one of the major coal production base in China, but at the same time, it is China’s most serious water damage area. For a long time, the water inrush of distress, the mine production capacity and length of service, it is difficult to reach the normal level, seriously affected the normal production safety and the economic benefit of mine. Therefore, to study the mechanism of water inrush, check mine hydrological geology condition, for risk evaluation of water inrush, and targeted to take effective measures, has very important theoretical ind practical significance of coal seam floor water inrush prevention for coal mine safety production.In this paper, on the basis of the water inrush theory carries on the analysis to the exploitation of confined water inrush factors. Coal seam floor water inrush is influenced by many factors, such as fracture, thickness of water-resisting layer, aquifer properties, these geological factors some continuity and some discontinuity. Take Xinhe mine as an example, analysis of geological structure in mining area, collected the geological and hydrological geology data during the exploration and production, analyze the data of pumping test especially during the period of exploration, summary of water enrichment characteristics of mine main aquifer. Analysis of two1coal factors the formation of mine water disaster at mining with pressure, such as breaking strength, fracture density, thickness of water-resisting layer, to provide basic data for numerical calculation. Take5main factors that influent water inrush from coal seam floor:fracture strength, fracture density, thickness of water-resisting layer, pressure of Ordovician limestone water and the water in the top of Ordovician limestone. The fracture is no continuity in the spatial distribution, so the fracture density and fracture strength is not continuity index. The thickness of water-resisting layer, pressure of Ordovician limestone water and the water in the top of Ordovician limestone has the characteristics of continuity in the spatial distribution, called the continuity index, form the coal seam floor water inrush risk evaluation index system. The use of MapObjects powerful function of spatial analysis and artificial neural network (ANN) coupling of highly nonlinear characteristics of spatial information processing,This paper is a seamless coupling between MapObjects and ANN, special research and development of MGSPA2008, the system has powerful spatial analysis function and display function. First, using the software to draw a map of mining area,and generate the evaluation unit, the input fault file and evaluation unit and evaluation unit superposition, the thickness of water-resisting layer, and the top of Ordovician limestone of Ordovician limestone water pressure water abundance index into the system by data layer, spatial analysis, statistical analysis of every evaluation of fracture strength, unit aquifer, aquiclude thickness pressure, fracture density and aquifer water abundance index.select the BP network training samples and testing network to take risk evaluation on water inrush from coal floor, improved the accuracy of risk evaluation on water inrush. According to the evaluation result and according to the degree of water inrush risk assessment area is divided into the danger zone, a dangerous area, transition area and safety area. Practice has proved that the evaluation result accords with the actual conditions and provide the basis for rational arrangement of coal mine water inrush and the prevention of coal mine production.