• DocumentCode
    3137352
  • Title

    A study based on real-time data acquisition system of intelligent seismometers in two dimension seismic prospecting

  • Author

    Sun, Bin ; Li, Haiying ; Sun, Xiurong

  • Author_Institution
    Capital Constr. Dept., SDIC Qujing Coal Dev. Co., Ltd., Qujing, China
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    2400
  • Lastpage
    2404
  • Abstract
    Considering such problems as the complex coalmining geological conditions, deprivation of test data for two dimension seismic prospecting, the low sensibility and poor stability as well as repeatability for traditional seismometers in many Yunnan coalfield places, this paper puts forward a method for carrying out two dimension seismic prospecting based on the real-time data acquisition system of intelligent seismometers. Coal seams and rocks wave-form data of collected high-precision and high reliability are verified by analysing those extractive geological samples via a series of misering engineering, so this method is confirmed to be able to ascertain accurate occurrence conditions and structural development situations of underground coal seams. Also, the data can optimize mine design, lay out roadways and working faces, and furthermore, increase safety factor of underground mining as well.
  • Keywords
    coal; data acquisition; design engineering; geology; mining; rocks; safety; seismology; seismometers; Yunnan coalfield; complex coal mining geological condition; intelligent seismometer; mine design optimisation; real-time data acquisition system; roadway lay out optimisation; rocks wave-form data; safety factor; structural development situation; two dimension seismic prospecting; underground coal seam; underground mining; Artificial intelligence; Coal; Data acquisition; Eddy currents; Geology; Market research; Real time systems; 2D Seismic Prospecting; Intelligent Seismometers; Real-time Data Acquisition System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-1275-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2012.6285721
  • Filename
    6285721