Study Of Hydrographic Geographic Information Management And Mine Water-Disaster Prediction System Based On GIS

Water inrush accidents threaten the personal safety of the miners,and cause huge economic losses in coal mines. The mine hydrographic geographic directly affect the safe production of coal mine. At present, the collection, storage and management of coal mine hydrologic information are independent, which leading to the data will not be used timely and effectively and affecting the accuracy of the prediction of coal mine water disasters.To solve the above problem, the coal mine hydrographic geographic information management and water disaster warning system is established, which is based on advanced technologies such as GIS, database, Visual C # programming and so on. The system achieves informational management of hydrographic geographic data and provides an important basis for the prediction of coal mine water inrush. The specific contents are as follows:(1) Acquisition and sorting the large amount and variety of coal mine data, This dissertation extracts water inrush-related data, layers, to establish the mine hydrographic geographic database and water inrush warning database. The system uses database software SQL Server2010, and uses ArcSDE implementation to contact spatial data and attribute data, which making GIS platform capable of efficient access and management on database.(2) This dissertation develops Windows applications and Web applications bases on mine actual demand. Windows application development model uses ArcGIS Engine + SQL Server system to develop water inrush warning subsystem, which based on client/server architecture. Web application development model uses ASP.NET + SQL Server system to develop coal mine hydrographic geographic information management subsystem, which based on browser/server architecture(3) This dissertation has a preliminary field investigation, analysis, to Obtain regional information of water inrush danger. For research and prediction of the current that dangerous regional situation, this dissertation uses water inrush coefficient method and Fisher discrimination algorithm to establish water inrush warning mathematical model. The results of predict is combined with the spatial position information of GIS topographic database to reflected in the geological map.(4) Roadway actual traffic situation is a key to escape efficiency. Therefore, this dissertation will abstract roadway nodes and arcs, build data structures and spatial topological relations roadway network and analyze network connectivity. At the same time, analysis of the actual roadway traffic efficiency, taking into account the water factor, ease of access roadway coefficient corresponding values, and normalized to the roadway weights, weighted to the distance matrix tunnel junction. This dissertation establishs a maximum and minimum ant colony algorithm model, and describes details of the method for determining the shortest path, to Query and display the exact path.(5) Based on the comprehensive analysis of system requirements and the overall design of system, the mine hydrographic geographic information system is developed, which regards ArcGIS Engine and Visual Studio 2010 as the developed environment. The system achieves the management of mine hydrographic graphics and attribute data, the design of thematic map, buffer analysis, network analysis, map markers, spatial query, the management of water inrush prediction and other functions, which is based on the mathematical model of water inrush prediction and provides a scientific decision-making basis for the water inrush prediction of this area.