Development of Mathematical Algorithm for Seismoacoustic Signals Identification Using Local Geomechanical Control Means

• Main Authors: Gladyr Andrey, Konstantinov Alexander, Tereshkin Andrey, Miroshnikov Vladimir
• Format: Article
• Language: English
• Published: EDP Sciences 2019-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/55/e3sconf_ghcrrm2019_01014.pdf

This article reviews a creating of algorithm for the automatic seismoacoustic signals identification. The developed algorithm will be part of the software multi-channel device. The useful signals detection problem from the geomechanical state data stream is solved by determining the moments of impulses beginning and ending. The initial moment of time is determined using fast and slow exponential moving averages, used to smooth out data variations and the characteristic signal-to-noise ratio. The moving average method is used in conjunction with an adaptive threshold, which improves the accuracy of determining the initial moment and takes into account the noise. The last time instant of the useful signal is detected with the help of a cumulative envelope. The time of impulse beginning detection is calculated and terminated when the threshold value is reached. The developed mathematical algorithm allows to identify seismoacoustic signals with sufficient accuracy and is an undemanding hardware resource of the device that allows using it in real time.