微地震监测数据压缩技术

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。

The technique of micro seismic monitoring data compression

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 complete waveform, and removes large quantities of redundant data by completely intercepting valid signal, so that the original data are reduced to 20%.Finally,the monitoring data compression ratio attains 10 ： 1 by using STEIM2 algorithm compress data intercepted.