Prediction And Analysis Of Underground Mine Geological Disaster Based On Microseismic Monitoring

With the mining depth increasing in the underground mines, the difficulty of exploitation isalso gradually increase, coupled with the special working environment of mine, complicatedgeological condition. So it leds to a variety of disaster accident, such as collapse, debris flow,collapse, spalling, water inrush. This brings a serious threat to the mine enterprise and people’slife and property safety.By using the principle of microseismic monitoring technology, and be aimed at the actualmining situation of Jin Shan Dian iron mine, we arrange a set of real-time online microseismicmonitoring system. And we Layout the system in the West-340m level, arrange16channelsensor in longitudinal and transverse directions. By means of Labview powerful graphicalprogramming, we can achieve the vibration signal acquisition, signal storage, signal reading,signal analysis and processing functions.Through empirical analysis of signal acquisition, we can directly get the amplitude, duration,interval time, and shape distribution of the waveform, it can reflect that blasting events and smallenergy events on the rock mass damage will not cause the disaster. By analyzing the frequencyof the waveform, we can gain the instantaneous frequency, the ratio of energy of signal, and themaximum possible frequency for100and150Hz. Finally, we combine the two methods andsummarize the waveform characteristic value, then combine the support vector machine methodand empirical mode decomposition method, predict the development trend of waveform graph,so we can know that the possibility of an accident is very small in this phase of this area, theaccident such as roof fall, collapse, debris flow.In addition, because this microseismic monitoring system operation time is short in Jin ShanDian iron mine, so need more long-term field monitoring data for future analysis prediction moreaccurate of mine geological disasters.