Study On Mine Microseismic Signal Characteristics And Propagation Law

Rockburst and other coal or rock dynamic disasters are serious threats to the safeand efficient production of coal mines and accurate monitoring and forecasting is animportant research topic in the coal industry.Intensive study on propagationcharacteristics of microseismic signal has important theoretical and practicalsignificance for improving the timeliness and accuracy of rockburst hazard warning.In this paper, the YDD16was used to test the microseismic signals released byblasting coal in different propagation distance, and the signal denoising was processed,energy distribution and chaotic characteristic were analyzed. The propagationcharacteristics of microseismic signals were finally discussed from perspectives ofboth frequency and instantaneous energy.The main research results are as follows:(1) Through the series circuit optimization, magnetic velocity sensors possessstable performance, higher signal to noise ratio (SNR), be easier to measure weaksignals and are more suitable for long-distance transmission in coal mining.(2) Common interference signals in coal mining were drew through research.Based on the wavelet analysis technique, the results showed that: the hierarchicalthreshold value is most effective for noise suppression; with the increase ofpropagation distance, the signal energy proportion of low-frequency0~78.1Hzgradually increased, while the energy proportion of other bands gradually decreased.(3) Based on the phase space reconstruction theory and the G-P algorithm,chaotic characteristic of microseismic signals was analyzed, the results showed that:microseismic signals show chaotic characteristics in the propagation process. Alongwith the increasing of propagation distance, time series correlation dimension ofmicroseismic signals decreases, the change in dimension reflects that of thecomplexity, frequency and energy component of microseismic waves.(4) By using HHT transform, the instantaneous energy attenuation characteristicsof microseismic signals in the propagation process were analyzed. and the resultsshowed that: the instantaneous signal energy shows power-series decrease along withthe propagation distance increasing.