计算机工程与应用 ›› 2017, Vol. 53 ›› Issue (16): 258-262.DOI: 10.3778/j.issn.1002-8331.1602-0148

• 工程与应用 • 上一篇    下一篇

自适应去噪的地震数据采集系统设计

孟  娟,洪  利,程丽娜,吴燕雄   

  1. 防灾科技学院 防灾仪器系,河北 三河 065201
  • 出版日期:2017-08-15 发布日期:2017-08-31

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

MENG Juan, HONG Li, CHENG Lina, WU Yanxiong   

  1. Department of Disaster Prevention Instrument, Institute of Disaster Prevention, Sanhe, Hebei 065201, China
  • Online:2017-08-15 Published:2017-08-31

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。

关键词: 小波阈值去噪, 地震数据采集, LabVIEW

Abstract: 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-4432 and LabVIEW platform is proposed, including front-end conditioning circuit based on OP07 and LM224N, and data real-time acquisition, display and analysis system based on USB-4432 and 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.

Key words: wavelet threshold de-noising, seismic data acquisition, LabVIEW