Study On The Disaster Information Of Underground Mine By Monitoring And Forecasting

With the rapid development of economy, China’s demand for mineral resources is increasing, at the same time, the safety problems of mine is becoming more and more seriouy. So researching and analyzing the source of disaster and the relationships of various accidents are necessary.The disaster information of mine is the main research object. Shirengou iron ore is the experimental mine, arcgis software is the foundation platform and BP neural network as a predicted tool. Through implementing the combination of arcgis software and BP neural network the analysis and research of the disaster information of underground mine is viable.Firstly, based on the foundation platform of arcgis software, building the DEM of underground stope and the surface topography is the fist step.Collecting, tiding and analyzing the time and space distribution characteristics between deformation and physical signal is the second move.Secondly, the monitoring programs of surface deformation has been designed, which based on the characteristics of experimental mine. The content of program has been completed and corresponding date has been grasped. Meanwhile,has been get the microseism single. The analytic system of seismic and deformation date has been built by the combination of arcgis software and the language of C#. Through the system, the inner link between the intensity of stope deformation, spatial feature, time nodes and the intensity changes of microseismic single has been found. Moreover, the degree of the relationship between seismic date and deformation date has been expressed by five different colors in the system.Finally, by means of BP neural network, the model of disaster information forecasting has been built and the deformation disaster has been predicted by the seismic events.