Is carbon monoxide sensing an effective early fire detection option for underground coal mines?

Mendham, Frank, Cliff, David and Horberry, Tim (2014). Is carbon monoxide sensing an effective early fire detection option for underground coal mines?. In: Naj Aziz, Bob Kininmonth, Jan Nemcik, Dennis Black, John Hoelle and Ismet Cunbulat, Proceedings of the 2014 Coal Operators' Conference. Coal 2014: Australian Coal Operators' Conference 2014, Wollongong, NSW, Australia, (360-368). 12-14 February, 2014.

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Name Description MIMEType Size Downloads
Author Mendham, Frank
Cliff, David
Horberry, Tim
Title of paper Is carbon monoxide sensing an effective early fire detection option for underground coal mines?
Conference name Coal 2014: Australian Coal Operators' Conference 2014
Conference location Wollongong, NSW, Australia
Conference dates 12-14 February, 2014
Proceedings title Proceedings of the 2014 Coal Operators' Conference
Place of Publication Wollongong, NSW, Australia
Publisher University of Woollongong
Publication Year 2014
Sub-type Fully published paper
Open Access Status
ISBN 9781925100020
Editor Naj Aziz
Bob Kininmonth
Jan Nemcik
Dennis Black
John Hoelle
Ismet Cunbulat
Start page 360
End page 368
Total pages 9
Collection year 2015
Language eng
Formatted Abstract/Summary
The ability of carbon monoxide (CO) sensing to detect early stage smouldering of fixed plant fires in underground coal mines was recently assessed as part of an ongoing fire detection research project. Experiments were carried out to record the level of CO concurrent at the time of alarm activation of a Video Based Fire Detection (VBFD) system. The tests were carried out under simulated mine conditions within the SIMTARS facility at Redbank, Queensland. The experimental setup initially located the CO sensors in the positions at where they would typically be installed underground. On testing the experimental setup, it was found that the amount of CO produced from simulated overheating conveyor belt bearing housings did not display a reading on the CO sensors. The VBFD system however detected smoke and alarmed on each of the trial tests. To enable the experiments to proceed and a comparison to be made, the CO sensors were moved considerably closer to the weak pyrolysis fire source. The question of CO sensor capability in typical operational mine positions was highlighted as a result of this experiment. Computational Fluid Dynamics (CFD) modelling was used to estimate the fire size required to activate CO sensors under typical mining conditions. This modelling reinforced the limitations in using CO detectors on fixed plant. As such, the study presented here indicates that CO sensing may not be the most effective early fire detection option available, and that further research and development work with VBFD should be undertaken.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Wed, 12 Feb 2014, 14:57:50 EST by Dr Tim Horberry on behalf of Minerals Industry Safety and Health Centre