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Mining Publication: Mine Fire Detection in the Presence of Diesel Emissions
Keywords: Diesel discriminating fire sensors Diesel exhaust Fire detection Fires Smoke sensors
This page is archived for historical purposes and is no longer being maintained or updated. Contact NIOSH Mining if you need an accessible version.
Original creation date: June 1999
Authors: JC Edwards, RA Franks, GF Friel, CP Lazzara, JJ Opferman
Conference Paper - June 1999
Download PDF Document (0.57 MB)
NIOSHTIC2 Number: 20024560
Proc Eighth U.S. Mine Ventilation Symposium. Rolla, MO: University of Missouri-Rolla, Press, 1999 Jun; :295-301
A series of four coal combustion experiments was conducted at the National Institute for Occupational Safety and Health's (NIOSH) Pittsburgh Research Laboratory (PRL) in the Safety Research Coal Mine (SRCM) to evaluate the response of fire sensors to a small 0.61 m square smoldering coal fire which transitions to flaming combustion in the presence of diesel emissions. An optical path smoke sensor alarmed earlier than a point type diffusion mode ionization smoke sensor, which alarmed prior to a CO alert value of 5 PPM above ambient. The presence of steady state diesel emissions resulted in a decrease in the optical smoke sensor analog output voltage signal by less than 1.4 pct for the three coal fire experiments in which a diesel engine was operating, whereas the ionization smoke sensor output decreased between 10.8 and 26.7 pct after the initial surge of the diesel engine. A commercial diesel discriminating fire sensor did not alarm for a fire in the one experiment for which it was used. The results of the experiments demonstrated that an optical path smoke sensor might be used to detect a coal fire under the experimental conditions considered of starting a diesel engine followed by a slowly developing coal fire.
Image of publication Mine Fire Detection in the Presence of Diesel EmissionsConference Paper - June 1999
Download PDF Document (0.57 MB)
NIOSHTIC2 Number: 20024560
Proc Eighth U.S. Mine Ventilation Symposium. Rolla, MO: University of Missouri-Rolla, Press, 1999 Jun; :295-301
See Also
Fire Response Preparedness for Underground Mines
In Mine Evaluation of Discriminating Mine Fire Sensors
In-Mine Evaluation of Smart Mine Fire Sensor
Mine Fire Detection in the Presence of Diesel Emissions
Multiple Type Discriminating Mine Fire Sensors
Neural Network Application to Mine-Fire Diesel-Exhaust Discrimination
Overview of Mine Fire Detection
Real-time Neural Network Application to Mine Fire - Nuisance Emissions Discrimination
Technology News 498 - Multiple Fire Sensors for Mine Fire Detection and Nuisance Discrimination
Understanding Mine Fire Disasters by Determining the Characteristics of Deep-Seated Fires
Page last reviewed: September 21, 2012
Page last updated: September 21, 2012
Content source: National Institute for Occupational Safety and Health, Mining Program
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