CAJ | 학술논문

微地震监测数据海量，给数据的长距离实时无线传输带来了很多困难，而且还占用很多磁盘空间。笔者首先采用自适应阈值的STA/LTA算法，选取合适的特征函数，从海量的监测数据中自动快速准确地识别微地震有效信号；然后准确确定有效信号的起止时间，完整地截取有效信号的波形数据，去除大量冗余数据，使得数据减少为原来的20％以下；最后再采用STEIM2算法对截取后的有效信号进行压缩，使监测数据的压缩比达到10∶1。研究结果表明：该方法能够通过去除冗余数据和无损压缩，大幅减少微地震监测数据的传输量，使得最终的数据仅为原数据的10％，从而减少了微地震监测数据的长距离无线实时传输困难，同时也减少数据存储所需要的磁盘空间，取得了较好的应用效果。
미지진감측수거해량，급수거적장거리실시무선전수대래료흔다곤난，이차환점용흔다자반공간。필자수선채용자괄응역치적STA/LTA산법，선취합괄적특정함수，종해량적감측수거중자동쾌속준학지식별미지진유효신호；연후준학학정유효신호적기지시간，완정지절취유효신호적파형수거，거제대량용여수거，사득수거감소위원래적20％이하；최후재채용STEIM2산법대절취후적유효신호진행압축，사감측수거적압축비체도10∶1。연구결과표명：해방법능구통과거제용여수거화무손압축，대폭감소미지진감측수거적전수량，사득최종적수거부위원수거적10％，종이감소료미지진감측수거적장거리무선실시전수곤난，동시야감소수거존저소수요적자반공간，취득료교호적응용효과。
The substantial microseismic monitoring data bring many difficulties to the long distance wireless real-time transmission of data and,what is more,take up a lot of disk space.In this paper,using adaptive threshold STA/LTA algorithm,the authors select appro-priate characteristic function and automatically,quickly and accurately identify effective micro-seismic signal from the large quantities of monitoring data.Then,the method on the paper accurately determines the start and end time of the effective micro-seismic signal com-plete waveform,and removes large quantities of redundant data by completely intercepting valid signal,so that the original data are re-duced to 20%.Finally,the monitoring data compression ratio attains 10 ∶ 1 by using STEIM2 algorithm compress data intercepted.