自适应去噪的地震数据采集系统设计  

Design of seismic data acquisition system based on adaptive de-noising

作　　者：孟娟[1] 洪利[1] 程丽娜[1] 吴燕雄[1] MENG Juan;HONG Li;CHENG Lina;WU Yanxiong(Department of Disaster Prevention Instrument, Institute of Disaster Prevention, Sanhe, Hebei 065201, China)

机构地区：[1]防灾科技学院防灾仪器系,河北三河065201

出　　处：《计算机工程与应用》2017年第16期258-262,共5页Computer Engineering and Applications

基　　金：中央高校基本科研业务费专项资金(No.20150204);中国地震局星火科技计划项目(No.XH14072)

摘　　要：地震数据采集是地震观测与研究的基础。提出一种基于NI高精度数据采集卡USB-4432和LabVIEW的地震数据采集系统设计方案,包括基于OP07和LM224N的前端调理电路,基于USB-4432和LabVIEW的实时采集与分析系统。为进一步提升采集信号质量,提出一种自适应小波阈值去噪算法,该算法能根据采集信号强度自适应去噪,提高采集信号信噪比(Signal-to-Noise Ratio,SNR)。实验表明,系统稳定可靠,相比传统小波阈值去噪算法,新算法能显著提高SNR。实验结果表明,系统去噪性能优良,应用价值较强。Seismic data acquisition is the basis of earthquake observation and research.A design scheme about seismic data acquisition system based on high-speed data acquisition card NI USB-4432and LabVIEW platform is proposed,including front-end conditioning circuit based on OP07and LM224N,and data real-time acquisition,display and analysis system based on USB-4432and LabVIEW platform.An adaptive wavelet threshold de-noising algorithm is presented to further improve the quality of the signal,the algorithm can de-noise adaptively according to the intensity of the collected signal,improve the Signal-to Noise Ratio(SNR)of the signal.Practical tests show that,the system is stable and reliable.Compared with the traditional threshold de-noising algorithm,the new algorithm can effectively improve the SNR.The experimental results show that the designed system has excellent de-noising performance and possesses a higher applied value.

关 键 词：小波阈值去噪 地震数据采集 LABVIEW 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]