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
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