DEVELOPMENT OF ALGORITHM FOR AUTOMATIC IDENTIFICATION OF SEISMIC ACOUSTIC SIGNALS BY MEANS OF LOCAL MONITORING

Abstract

The paper deals with the issue of creating an effective algorithm to identify seismoacoustic impulses. The developed algorithm will become a part of the software tools of the multichannel device of local impact control in the rock mass. The problem of separating the useful signals from the stream of registered data on the geomechanical state is solved by determining the moment of start and end of impulses. The initial moment of time is determined using the fast and slow exponential moving averages, which are used to smooth the data variations and characterize the signal-to-noise ratio. The method of moving averages is used in conjunction with the adaptive threshold, which allows to improve the accuracy of the initial moment detection, adjusting to the noise background. The end point of time of the useful signal is detected by the cumulative envelope calculated from the moment of detection of the pulse start and terminated when the threshold value is reached. The developed mathematical algorithm allows to identify seismic acoustic signals with sufficient accuracy and does not require the hardware resources of the device, which allows it to be used in real time.