The Research Of Optimization And Alternation To Jin Chuang Er Kuang Mine's Complex Ventilation Network

For the research of optimization and alternation to the Jin Chuang Er Kuang mine's complex ventilation network, the thesis consists of four parts, the graphing of solid graph for mine ventilation system, the research of the Er Kuang mine's spontaneous ventilation pressure, the diagnosing of the frictional resistance coefficient and the optimization of Er Kuang mine's ventilation network. In the research of graphing the solid graph, the thesis establishes the mathematic model and compiles programs in order to create topological relation of tunnels automatically and convert three-dimensional data to two-dimensional data. In the research of the spontaneous ventilation pressure, the thesis compares the ways of calculating the spontaneous ventilation pressure, and plots the change curve of the spontaneous ventilation pressure. In the frictional resistance coefficient diagnosing research, the thesis establishes the BP neural network model and trains the BP neural network model to make it process the diagnosing ability. In the optimization of Er Kuang mine's ventilation network, in accordance with the characteristic of the Er Kuang mine's ventilation network, the thesis puts forward the path method for the Er Kuang mine's ventilation network optimization particularly, and brings forward the plans to solve the problem of the Er Kuang mine's ventilation network. Since its research contents have been well used in Jin Chuan Er Kuang mine, the thesis achieves its aim. Furthermore, to some extent, it also enriches the theory and method in practice in visual mine, mine ventilation management and mine ventilation network optimization.