• DocumentCode
    1590459
  • Title

    Self-Adaptive Seismic Signal Collection Recording System Based on ARM

  • Author

    Gao, Meijuan ; Xu, Jin ; Tian, Jingwen

  • Author_Institution
    Beijing Union Univ., Beijing
  • fYear
    2008
  • Firstpage
    326
  • Lastpage
    331
  • Abstract
    Aim at the traditional natural seismic signal collection system has disadvantage of narrow wave band and data collection quantity is too large, a self-adaptive seismic signal collection recording system based on ARM (advanced RISC machines) is presented in this paper. The MEMS acceleration sensor chip with the characteristic of good low-frequency response and high sensitivity is used to detect seismic signal, and amplifying and filtering circuit are designed for signal conditioning to increase the signal noise ratio (SNR). Then the whole detection circuit will be assembled reasonably and debugged, and the three component seismograph is designed. A threshold signal will be set in the software to confirm the start and end time for recording system, in order to achieve the data collection efficiency and high reliability.
  • Keywords
    geophysical signal processing; reduced instruction set computing; seismology; seismometers; signal processing equipment; ARM; MEMS acceleration sensor chip; advanced RISC machines; seismograph; self-adaptive seismic signal collection recording system; signal conditioning; signal noise ratio; Acceleration; Circuit noise; Filtering; Low-frequency noise; Micromechanical devices; Reduced instruction set computing; Sensor phenomena and characterization; Signal design; Signal detection; Signal to noise ratio; ARM; Collection; Seismic signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computing, 2008. SEC '08. Fifth IEEE International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3348-3
  • Type

    conf

  • DOI
    10.1109/SEC.2008.27
  • Filename
    4690770