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Statistical Analysis and Countermeasure about Fire Mistaken Dispatch

통계적 분석을 통한 화재 오인출동의 현황과 대책

  • Eom, Sang-Yong (Department of Fire Safety Management, Hyechon University) ;
  • Kim, Kyoung-Jin (Korea Fire Protection Engineering R&D Center) ;
  • Lee, Su-Kyung (Department of Energy Safety Engineering, Seoul National University of Science & Technology)
  • 엄상용 (혜천대학교 소방안전관리과) ;
  • 김경진 ((주)한국소방엔지니어링 R&D센터) ;
  • 이수경 (서울과학기술대학교 에너지안전공학과)
  • Received : 2013.03.05
  • Accepted : 2013.04.05
  • Published : 2013.04.30

Abstract

In this research, the fire mistaken dispatch records for the past 11 years have been analyzed by using a statistic technique. Fire mistaken dispatch occurred yearly average $48,371{\pm}5,763$ time at 95 % confidence level. This is 1.2 times more than the dispatch for extinguishing the fire. Fire mistaken dispatch has been increased mainly by malfunctioning alarm among other various reasons and the reason of mistaken dispatch is different depending on the population of the region. In big cities, the burning smell accounts for the most of mistaken dispatch but in rural areas, the garbage incineration is the major reason for mistaken dispatch. As a result of calculating the mean time between fire mistaken dispatches (MTBFmd) by region, MTBFmd of Daejeon is 20.61 hr/time and its reliability is 95.26 % at t=1 hr. On the other hand, the MTBFmd of Gyeonggi is 0.58 hr/time and its reliability is 17.91 % at t=1 hr.

과거 11년간의 국내 화재 오인출동 자료를 통계적 기법을 활용하여 분석하였다. 오인출동은 95 % 신뢰수준에서 연평균 $48,371{\pm}5,763$건이 발생하였고, 이는 화재진압을 위한 출동보다 약 1.2배 높은 수준이다. 여러 원인 중 경보오동작에 의한 오인출동이 증가하고 있으며, 오인출동의 원인은 시 도별 인구수에 따라 다른 양상을 보이는데 대도시에서는 타는 냄새에 의한 오인출동이 많은 반면 농어촌에서는 쓰레기 소각에 의한 오인출동이 많았다. 지역별 평균오인출동간격을 계산한 결과 대전은 20.61 hr/회로 t=1 hr 일 때 95.26 %의 신뢰도를 보이는 반면, 경기도의 경우 평균오인출동간격은 0.58 hr/회로 t=1 hr 일 때 신뢰도가 17.91 %에 불과하였다.

Keywords

References

  1. http://nfds.go.kr/index.jsf.
  2. E. P. Lee, "Analysis of Actual State of Motor Vehicle Fires in Korea", Journal of Korean Institute of Fire Science & Engineering, Vol. 25, No. 2, pp. 47-59 (2011).
  3. H. B. Kim, J. I. Lee, H. S. Keon and D. M. Choi, "Analyses of the Outbreaking Fires according to the Industrialization in Korea", Korean Institute of Fire Investigation, Vol. 11, No. 1, pp. 127-137 (2007).
  4. J. S. Ko and H. Kim, "Study on Predictable System of Fire Explosion Accident using of Poisson Distribution and Societal Risk in Urban Gas", KIGAS, Vol. 12, No. 3, pp. 21-27 (2008).
  5. J. S. Ko, "Study on Probabilistic Analysis for Fire.Explosion Accidents of LPG Vaporizer with Jet Fire", Journal of Korean Institute of Fire Science & Engineering, Vol. 26, No. 4, pp. 31-41 (2012). https://doi.org/10.7731/KIFSE.2012.26.4.031
  6. R. Dovich and B. Wortman, "The Reliability Engineer Primer", 4th Edition, Quality Council of Indiana, USA (2009).
  7. E. L. Grant and R. Leavenworth, "Statistical Quality Control", 6th Edition, New York: McGraw-Hill (1988).
  8. W. R. Blischke and D. N. P. Murthy, "Case Studies in Reliability and Maintenance", Hoboken, NJ: John Wiley (2003).
  9. T. Omdahl, "Quality Dictionary", West Terre Haute, IN: QCI (1997).
  10. S. H. Kim, "Quality Management", Korean Standards Association (1997).
  11. P. D. T. O'Connor, "Practical Reliability Engineering", 4th Edition, Hoboken, NJ: John Wiley (2002).
  12. K. H. Son, S. R. Kang and K. C. Min, "Statistics using Minitab", Cheong Lam (2011).