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Gold Science and Technology ›› 2017, Vol. 25 ›› Issue (3): 84-91.doi: 10.11872/j.issn.1005-2518.2017.03.084

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Research on Automatic Recognizing of the Effective Microseismic Signals

LIU Xiaoming 1，2，ZHAO Junjie 1，2，PENG Ping’an 1，BI Lin 1，DAI Bibo 2   

  1. 1.School of Resources and Safety Engineering，Central South University，Changsha    410083，Hunan，China；
    2.State Key Laboratory of Safety and Health for Metal Mines，Maanshan    243004，Anhui，China
  • Received:2016-05-09 Revised:2017-07-08 Online:2017-06-30 Published:2017-09-11

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Abstract:

Microseismic events arrival-pick is important for events location and other research analysis.Traditional method picked all collected signals and recognized the microseismic events manually，was not only heavy workload，but also low efficiency.This paper proposed an automatic method of recognizing the efficient microseismic signals，EEV（Energy Extreme Value）.Calculated the ratio of the energy value between front and rear window through the specified moving time window，analyzed the different signals characteristics，put forward a method，through finding extreme value point，which the deviation between the right point is greater than the threshold diff，as the discrimination standard.Meanwhile，studied the main influence factors of this method， namely，the length of time window M，and the threshold diff，optimized and determined the optimal parameters. Using MATLAB Software to process the real datas of Dongguashan copper mine，the results show that the algorithm can accurately recognize nosie and seismic signal，the accuracy rate is up to 96%，compared with manual results，greatly shortens the time of data processing and improves the work efficiency，meanwhile， provide an important guidance for seismic signal process.

Key words:  microseismic, icroseismic signal identification, nergy extreme value, nergy extremum value method, ATLAB

CLC Number: 

  • TD76

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