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Design and Implementation of Seismic Data Acquisition System using MEMS Accelerometer

MEMS형 가속도 센서를 이용한 지진 데이터 취득 시스템의 설계 및 구현

  • Received : 2012.03.02
  • Accepted : 2012.04.30
  • Published : 2012.06.01

Abstract

In this paper, we design a seismic data acquisition system(SDAS) and implement it. This system is essential for development of a noble local earthquake disaster preventing system in population center. In the system, we choose a proper MEMS-type triaxial accelerometer as a sensor, and FPGA and ARM processor are used for implementing the system. In the SDAS, each module is realized by Verilog HDL and C Language. We carry out the ModelSim simulation to verify the performances of important modules. The simulation results show that the FPGA-based data acquisition module can guarantee an accurate time-synchronization for the measured data from each axis sensor. Moreover, the FPGA-ARM based embedded technology in system hardware design can reduce the system cost by the integration of data logger, communication sever, and facility control system. To evaluate the data acquisition performance of the SDAS, we perform experiments for real seismic signals with the exciter. Performances comparison between the acquired data of the SDAS and the reference sensor shows that the data acquisition performance of the SDAS is valid.

Keywords

References

  1. H. Y. Kim et al, Research & Development on National Earthquake Early Warning System, KMA, 2011.
  2. H. C. Chi et al, Designing of the National Earthquake Early Warning System and Expanding of Realtime Data Sharing, KIGAM, 2010.
  3. H. W. Kim, Y. M Kim, S. W. Sohn, H. D Bae, Y. H. Park, H. Choi, "FPGA Design of Seismic Data Acquisition System using MEMS Accelerometer," Proc. of CICS 2011, pp.398-399, Oct. 2011.
  4. Y. M. Kim, Real-time Earthquake Early Warning System for Secondary Disaster Prevention, Thesis, Dong-Eui University, 2011.
  5. Y. M. Wu and H. Kanamori, "Development of an earthquake early warning system using real-time strong motion signals," Sensors, 8, pp.1-9, 2008.
  6. S. G. Kim, Theoretical Seismology, HUMHAN Book, 2010.
  7. A. G. Hafez, T. A. Khan, T.Kohda, "Earthquake onset detection using spectro-ratio on multi-threshold time-frequency sub-band," Journal of Digital Signal Processing, issue 19, Elsevier, pp.118-126, 2009.
  8. C. Tong, B.L.N. Kennett, "Automatic seismic event recognition and later phase identification for broadband seismograms," Bull. Seismol. Soc. Am. pp.1896-1909, 1996.
  9. A. Trnkoczy, Understanding and parameter setting of STA/LTA trigger algorithm, IASPEI New Manual of Seismological Observatory Practice, 2002.

Cited by

  1. Seismic Noise Reduction Using Micro-Site Array Stacking vol.63, pp.3, 2014, https://doi.org/10.5370/KIEE.2014.63.3.395
  2. Network Configuration, Time Management, and Data Storage for Urban Earthquake Disaster Preventing System vol.63, pp.12, 2014, https://doi.org/10.5370/KIEE.2014.63.12.1675