DOI QR코드

DOI QR Code

장애경보 방지를 위한 연소 연기입자와 비연소 연기입자의 광 특성 분석

Analysis of Optical Properties of Fire Smoke and Non-fire Smoke for Reduction of Nuisance Alarm

  • 투고 : 2014.07.15
  • 심사 : 2014.08.12
  • 발행 : 2014.10.31

초록

This paper is basic study for development of an advanced photoelectric type smoke detector that has high reliability by reducing the occurrence of nuisance alarms. This paper was attempted to distinguish optical characteristics of the typical fire smoke particle and non-fire smoke particle. According to UL 268 standards, three types of test fires (the paper, the wood and the flammable liquid) were used in this paper for measurement of the fire smoke particles, and the water vapor and the cigarette smoke that were known as the main cause of the nuisance alarms were also used for the non-fire smoke particles. A smoke detection chamber was created, which was equipped with one light source and several light sensors for enabling simultaneous detection of light extinction and scattering, respectively. This paper analyzes the optical characteristics of each smoke particle using this chamber.

키워드

참고문헌

  1. National Fire Safety Code, "Safety Guides for the Automatic Fire Alarm System (NFSC 203)", Notification No.2012-91, National Emergency Management Agency, 2012.
  2. Seung-Wook Jee et al., "Development of a Traceable Fire Alarm System Based on the Conventional Fire Alarm System", Fire Technology, Vol.50, No.3, pp.805-822, 2012.
  3. Richard W. Bukowski, Wayne D. Moore, "Fire Alarm Signaling Systems 3 Edition", NFPA Inc., pp.84-176, 2003.
  4. Korea Institute of Fire Industry & Technology's Website, "http://www.kfi.or.kr/home/information/information08.do", 2013.
  5. Guy-Taek Jung, "A Study on Design of a Fire Smoke Detector with Auto-trning Sensitivity for Prevention of False Alarm", MS Thesis, Univ. of Seoul, Korea, 2003.
  6. F. Derbel, "Performance Improvement of Fire Detectors by Means of Gas Sensors and Neural Networks", Vol. 39, Issues 5, pp.383-398, 2004. https://doi.org/10.1016/j.firesaf.2004.03.001
  7. R. Siebel, "Test of Fire Detection Algorithms Using Artificially Generated Events", Fire Safety Journal, Vol. 41, Issues 4, pp.258-265, 2006. https://doi.org/10.1016/j.firesaf.2006.01.004
  8. S. W. Jee, S. K. Kim, J. J. Lee, P. Y. Kim and C. H. Lee, "Development of the Low Power Stand-Alone Smoke and Heat Detector for the Reliability Improvement", Journal of Korean Institute of Fire Science & Engineering, Vol. 26, No. 1, pp.62-68, 2011.
  9. William C. Hinds, "Aerosol Technology", Translation of Korean Language, ShinKwang MunHwa Publishing Co., pp.379-412, 1995.
  10. M. Loepfe, P. Ryser, C. Tompkin and D. Wieser, "Optical Properties of Fire and Non-fire Aerosols", Fire Safety Journal, Vol. 29, Issues 2-3, pp.185-194, 1997. https://doi.org/10.1016/S0379-7112(96)00048-3
  11. S. W. Jee, "Distinction of Fire Source from Smoke using Discrete Probability Distribution and Neural Networks", Fire Technology(DOI: 10.1007/s10694-014-0424-3), pp.1-18 2014.
  12. Richard W. Bukowski, "Smoke Measurements in Largeand Small-Scale Fire Testing - Part I", Fire Technology, Vol.15, Issue 3, pp. 173-179, 1979. https://doi.org/10.1007/BF01983195
  13. S. W. Jee, "Analysis of the Response Time of a Photoelectric Spot-Type Smoke Detector Depending on the Type of Fires", Journal of KIIEE, Vol.27, No.5, pp.89-94, 2013. https://doi.org/10.5207/JIEIE.2013.27.5.089
  14. UL 268-2006, "The Standard of Safety for Smoke Detect ors for Fire Alarm Signaling Systems", 2006.