Mining Publication: In-Mine Evaluation of Smart Mine Fire Sensor
Original creation date: December 2008
An evaluation of a nuisance-emissions-discriminating smart mine fire sensor system was made in an operating coal mine. These field evaluations were conducted to determine the ability of the sensor system to discern nuisance emissions, such as diesel exhaust, emissions from flame cutting and welding operations or hydrogen gas from a charging station, from real fires and to compare the number of falsely reported fire alarms generated between the sensor system and a standard carbon monoxide (CO) monitor. The ability of the sensor system to operate successfully in the working environment of an operating coal mine was also evaluated. The smart mine fire sensor system consisted of four sensors whose data outputs were fused with the use of a neural-network-type computer program. Long-term trials were conducted in a haulage way, a belt entry, and a track entry. The system functioned successfully in the belt entry, in accordance with its developmental goals, where the sensor system even discriminated events not anticipated during development. It was not totally effective in the haulage way and track entry, though, due to a combination of significant diurnal air temperature variations, dust, and mechanically induced vibrations. Also, deteriorating rib conditions contributed to operational problems in the haulage way evaluation. In general, the smart mine fire sensor provided nuisance emissions discrimination and was shown to be a viable new approach for mine atmospheric monitoring, enhancing miner safety. This paper describes the in-mine evaluation of the smart mine fire sensor system and discusses recommendations for improving the system.
Authors: RA Franks, GF Friel, JC Edwards, AC Smith
Peer Reviewed Journal Article - December 2008
NIOSHTIC2 Number: 20034927
Trans Soc Min Metall Explor 2008 Dec; 324:81-88
See Also
- A Comparison of Mine Fire Sensors
- Evaluation of a Signaling and Warning System for Underground Mines
- Evaluation of Smoke and Gas Sensor Responses for Fires of Common Mine Combustibles
- Fire Detection for Conveyor Belt Entries
- Impact of Air Velocity on the Detection of Fires in Conveyor Belt Haulageways
- Multiple Type Discriminating Mine Fire Sensors
- Neural Network Application to Mine-Fire Diesel-Exhaust Discrimination
- Real-time method to characterize a mine fire using atmospheric monitoring systems and MFIRE 3.0
- Real-time Neural Network Application to Mine Fire - Nuisance Emissions Discrimination
- The Status of Mine Fire Research in the United States
- Content source: National Institute for Occupational Safety and Health, Mining Program