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Field Verification of an Improved Mine Fire Location Model

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Abstract

Underground mine fires remain a concern for mine operators, posing a health and safety risk to mineworkers. In the last decade, the number of mine fires has decreased significantly; however, dealing with an unknown fire in underground mines can be a challenging task, which could lead to a hazardous condition for miners during an evacuation and rescue operation. A timely detection of a mine fire and monitoring its characteristics, namely size and location, are of great importance in reducing the risk of mine fire injuries. A new improved fire location algorithm has been developed and integrated into an Atmospheric Monitoring System (AMS) program by researchers from the National Institute for Occupational Safety and Health (NIOSH). This paper describes the new fire location model and presents the results of verification fire tests conducted at the Safety Research Coal Mine (SRCM) facility of the Pittsburgh Mining Research Division (PMRD) using the collected AMS data. NIOSH is endeavoring to develop workplace solutions to improve detection of and reduce the risk of hazardous conditions in mines. The results demonstrate successful application of the improved fire location model and provide a useful tool for solving the problem of unknown fire location and reducing the risk of hazardous conditions.

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References

  1. Smith, A, Litton C (2015) The use of atmospheric monitoring systems for fire detection in underground coal mines. Paper presented at the 15th North American Mine Ventilation symposium

  2. Slaughter C, Tien J, Cao Y (2015) Analysis of All reported mine fire incidents: 2000-2013 in All types of United States mines. Paper presented at the 15th North American Mine ventilation symposium, Blacksburg, Virginia, 20-25 June 2015

  3. Timko R, Derick R (2006) Methods to determine the status of mine atmospheres–an overview. J Mine Vent Soc S Afr 59(2):46-55

  4. Litton C, Lazzara C, Perzak F (1991) Fire detection for conveyor belt entries. U.S. Department of the Interior, Bureau of Mines RI. p. 23

  5. Stachulak J (1990) Computerized fire monitoring, criteria, techniques and experience at Inco limited. CIM Bull 83(937):59–67

    Google Scholar 

  6. Laage L, Pomroy W, Bartholomew A (1989a) Computer-aided mine fire sensor data interpretation in real time. Paper presented at the SME Annual Meeting, Las Vegas Feb. 27-march 2, 1989

    Google Scholar 

  7. Enright C, Ferrier R (2015) Mine rescue manual: a comprehensive guide for mine rescue team members. Society for Mining, Metallurgy & Exploration, Englewood

    Google Scholar 

  8. Edwards JC (1990). Fire location model. Washington, D.C.: U.S. Department of the Interior, U.S. Bureau of Mines, BM-IC 9261

  9. Laage L, Pomroy W, Bartholomew A (1989b) Computer aided underground mine fire location. Proceedings of the 23rd International Conference of Safety in Mines Research Institutes, September 11–15, 1989, Washington, DC. U.S. Bureau of Mines, OFR 27-89, 1–1251

  10. Yang H (1992) Computer-aided system for rapid and automatic determination of a mine fire location. (dissertation/thesis), Ph.D., Michigan Technological University, ProQuest, UMI dissertations publishing

  11. Laage L, Pomroy W (1992) Method of locating underground mines fires. USA patent no. US5121344A

  12. Zhou L, Yuan L, Bahrami D, Thomas RA, Cole G, Rowland J (2019) Study on integration of real-time atmospheric monitoring system monitoring data and MFIRE simulation, proceedings of 17th North American mine ventilation symposium, April 28–may 1, Montreal

  13. Bahrami D, Yuan L, Zhou L, Rowland JH (2019) New mine fire location model utilizing real-time gas monitoring data. Proceedings of 17th North American Mine Ventilation Symposium, Minnesota, April 28–may 1, Montreal

  14. MathWorks (2018) MATLAB (version R2018a) [computer program]. Mathworks, Natick

    Google Scholar 

  15. Bahrami D, Zhou L, Yuan L (2020) Mine fire location: a field verification. SME Annual Meeting, Feb. 23–26, 2020, Phoenix, AZ, Preprint 20-078, pp 1–8

  16. Zhou L, Yuan L, Thomas R, Iannacchione A (2017) Determination of velocity correction factors for real-time air velocity monitoring in underground mines. Int J Coal Sci Technol 4(4):322–332

    Article  Google Scholar 

  17. Zhou L, Smith AC (2012) Improvement of a mine fire simulation program—incorporation of smoke rollback into MFIRE 3.0. J Fire Sci 30(1):29–39

    Article  Google Scholar 

  18. Ventsim (2019) Ventsim Design. Available from: https://ventsim.com/ [Accessed: 27 January 2019]

Download references

Acknowledgments

The efforts of the programming team at the Pittsburgh Mining Research Division (PMRD) on integrating the fire location model into the real-time AMS Data Management Program are much appreciated. The large-scale experiments at SRCM were conducted by Rick Thomas and John Soles whose efforts are appreciated.

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Correspondence to D. Bahrami.

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The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention. Mention of any company or product does not constitute an endorsement by NIOSH.

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Bahrami, D., Zhou, L. & Yuan, L. Field Verification of an Improved Mine Fire Location Model. Mining, Metallurgy & Exploration 38, 559–566 (2021). https://doi.org/10.1007/s42461-020-00314-6

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  • DOI: https://doi.org/10.1007/s42461-020-00314-6

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