For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Dynamic Modeling and Simulation of a Novel Wall-Climbing Robot
p.1180
Design and Analysis of Push-Pull Switching Power Supply on PSpice
p.1186
Design and Application of Automation System for Reconstruction and Expansion of Small Oilfield Station
p.1190
Analysis on Metamorphic of the Cable-Driven Parallel Mechanism in Wind Tunnel Test
p.1196
Research and Design of Pre-Warning System for Coal and Gas Outburst Based on Data Mining
p.1204
Automatic Solar Electrical Monitor for a Battery Charging Process Using a Network Remote Control System
p.1211
The Research of China Made DCS Application on Supercritical and Ultra Supercritical Units of Guohua Electric Company
p.1217
Control and Management System of LED Bulb Assembly Line Based on Matlab and WinCC
p.1225
Research on the Automatic Detection System of Vehicle Condition Based on DSP
p.1229

Research and Design of Pre-Warning System for Coal and Gas Outburst Based on Data Mining

Article Preview

Abstract:

Coal and gas outburst is one of the most important natural disasters in our country. Thus pre-warning has the great significance to production safety for coal mine. In view of the facts of current pre-warning technologies, such as single pre-warning indicators, poor performance under interference and low real-time capability, some new pre-warning models are presented. The models include G line, moving average line and so on. Based on data mining theory, the pre-warning system works on the time series of gas emission concentration (which is called G series), and the pre-warning system for outburst is designed as well. 4.19 coal and gas outburst in Dashu Village Coal Mine of Hebei Fengfeng Coal Mining Group is studied based on pre-warning system. And the result is in accord with accident investigation. The analysis shows that the pre-warning system can mine the outburst developing process information of coal-rock dynamical system from the time series of gas concentration and realize outburst accidents pre-warning.

You might also be interested in these eBooks
Industrial Instrumentation and Control Systems II View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 336-338)

Pages:

1204-1207

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.336-338.1204

Citation:

Cite this paper

Online since:

July 2013

Authors:

Ming Deng, De Fang Liu, He Liu, Ning Ning Chen

Keywords:

Coal and Gas Outburst, Data Mining (DM), G Line, MA, Pre-Warning, Time Series Data

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] X.C. Huang, D,L. Sun. Coal Science and Technology Vol.39 (2011), pp.61-63

Google Scholar

[2] T. Yin, X,Z. Guan, D.S. Wan. Computer Engineering and Design Vol. 33 (2012), p.4721

Google Scholar

[3] Z. Lin, Y. Xing. Computer Systems & Applications Vol. 12 (2012), p.224

Google Scholar

[4] Bernstein A, Provost F, Hill S. IEEE Transactions on Knowledge and Data Engineering Vol. 17 (2005), p.503

Google Scholar

[5] D.Z. Cheng, Y. Zhao. Bulletin of Chinese Academy of Sciences Vol. 2 (2012), p.167

Google Scholar

[6] G.Y. Liu, X.H. Zhou, C.Y. Fu, et al. China Safety Science Journal Vol. 21 (2011), p.16

Google Scholar

[7] B.G Hu, R. He, X.T. Yuan. Acta Automatica Sinica Vol. 38 (2012), p.1169

Google Scholar

[8] Z.W. Zhang, J.A. Lou, X.L. Chang, et al. Computer Engineering Vol. 38 (2012), p.288

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.