Underground Mining Disturbance Power Disaster Analysis And Prediction Research Based On Microseismic Monitoring

Underground mine mining operations are gradually enter the stage of deepmining,the dynamic disasters caused by mining disturbance also slowly increased at thistime,such as the stress problems is also very outstanding including the rock burst andrheological, It is very important disaster forms that the power affect mine safetyproduction,so lead to the personnel worked in the underground casualty and propertyloss is also further increased.Firstly, for disasters in underground mining disturbance power typical forms andfailure mechanism of theoretical research, the selection of the microseismic monitoringtechnology as a means of dynamic disaster monitoring and explains its workingprinciple. then, combining the situation of the operations of underground mine, on thebasis of comparison of different system, choose the combination of distributed andcentralized microseismic monitoring system, overall design scheme of the system iscomplete; applying the idea of modularization and hierarchical system software fordesign and development, so that the microseismic monitoring system can real-timeonline seismic data acquisition, processing and analysis functions.Secondly, using the principle of wavelet packet analysis in microseismicmonitoring system to a series of microseismic signals collected waveform analysis,waveform transformation, waveform synthesis, waveform recognition processing,extract the characteristics of seismic signals,obtaining the time-frequency characteristicinformation,so the event source type can be to distinguish and judge.Finally, by using support vector machine (SVM) method to establish seismic eventclassifier model and seismic prediction model, optimizing the microseismic eventsautomatic identification ability to learn,in order to achieve the improvement of theseismic database to provide more effective data, through the database for real-timeregression prediction, seismic events for mining disturbance will provide a scientificbasis for the real-time prediction of dynamic disasters.