Early warning of coal and gas outburst by GIS and neural network

GUO De-yong; WANG Yi-bin; WEI Xiu-jun; WANG Xin-yi

doi:10.13374/j.issn1001-053x.2009.01.002

Volume 31 Issue 1

Aug. 2021

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Engineering > 2009 > 31(1): 15-18,24

GUO De-yong, WANG Yi-bin, WEI Xiu-jun, WANG Xin-yi. Early warning of coal and gas outburst by GIS and neural network[J]. Chinese Journal of Engineering, 2009, 31(1): 15-18,24. doi: 10.13374/j.issn1001-053x.2009.01.002

Citation:

GUO De-yong, WANG Yi-bin, WEI Xiu-jun, WANG Xin-yi. Early warning of coal and gas outburst by GIS and neural network[J]. Chinese Journal of Engineering, 2009, 31(1): 15-18,24. doi: 10.13374/j.issn1001-053x.2009.01.002

Citation:

PDF( 459 KB)

Early warning of coal and gas outburst by GIS and neural network

doi: 10.13374/j.issn1001-053x.2009.01.002

1. Resource and Safety Engineering School, China University of Mining and Technology (Beijing), Beijing 100083, China;
2. Pingdingshan Coal Mining Group Co. Ltd., Pingdingshan 467000, China

Received Date: 2008-03-08
Available Online: 2021-08-09

Abstract

Abstract

Based on the mechanism of coal and gas outburst and the physical characters of outburst process, in combination with a coal mine safety monitoring system, early warning indexes were proposed by the time series of methane concentration and coal temperature. An early warning model of coal and gas outburst was built by globe information system (GIS) technology and artificial neural network. Taking 17180 working face for an example, the early warning model was tested in an exact mine. The result shows that the model can provide technical support for early warning of coal and gas outburst.
- globe information system,
- neural network,
- methane concentration,
- coal temperature,
- coal and gas outburst,
- early warning