To address the issue of significant data storage pressure caused by long-term continuous collection in microseismic monitoring systems,a microseismic data acquisition optimization system based on Zynq was designed.This system achieves four-channel ADC parallel sampling control in the PL part of the Zynq XC7010 chip and implements automatic identification of contin-uous seismic signals using the Modified Energy Ratio(MER)algorithm in the PS part.Furthermore,the algorithm incorporates a dynamic threshold method to reduce the misjudgment rate in seismic signal identification,further improve the recognition accuracy of this algorithm,thereby significantly reducing the storage of ineffective noise data.Experimental results demonstrate that this sys-tem exhibits a sensitive response to seismic signals,accurately identifying even low signal-to-noise ratio seismic signals.Moreover,compared to the IMS microseismic monitoring system,this system's data storage volume is only 31%of the IMS system after 16 hours of continuous collection,effectively alleviating data storage pressure during continuous acquisition.
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