Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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A Study on the Early Fire Detection by Using Multi-Gas Sensor

다중가스센서를 이용한 화재의 조기검출에 대한 연구

  • Cho, Si Hyung (Department of Electrical and Electronic Engineering, Kangwon National University) ;
  • Jang, Hyang Won (Department of Electrical and Electronic Engineering, Kangwon National University) ;
  • Jeon, Jin Wook (Department of Electrical and Electronic Engineering, Kangwon National University) ;
  • Choi, Seok Im (Department of Electronic Communication System, Korea Polytechnic) ;
  • Kim, Sun Gyu (Department of Information and Communication System, Korea Polytechnic II) ;
  • Jiang, Zhongwei (Department of Mechanical Engineering, Yamaguchi University) ;
  • Choi, Samjin (Department of Biomedical Engineering, Kyung Hee University) ;
  • Park, Chan Won (Department of Electrical and Electronic Engineering, Kangwon National University)
  • 조시형 (강원대학교 전기전자공학부) ;
  • 장향원 (강원대학교 전기전자공학부) ;
  • 전진욱 (강원대학교 전기전자공학부) ;
  • 최석임 (한국 폴리텍 강릉캠퍼스 전자통신과) ;
  • 김선규 (한국 폴리텍 II 정보통신학부) ;
  • 강종위 ;
  • 최삼진 (경희대학교 의과대학 의학과) ;
  • 박찬원 (강원대학교 전기전자공학부)
  • Received : 2014.08.25
  • Accepted : 2014.09.23
  • Published : 2014.09.30
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Abstract

This paper introduced a novel multi-gas sensor detector with simple signal processing algorithm. This device was evaluated by investigating the characteristics of combustible materials using fire-generated smell and smoke. Plural sensors including TGS821, TGS2442, and TGS260X were equipped to detect carbon monoxide, hydrogen gas, and gaseous air contaminants which exist in cigarette smoke, respectively. Signal processing algorithm based on the difference of response times in fire-generated gases was implemented with early and accurately fire detection from multiple gas sensing signals. All fire experiments were performed in a virtual fire chamber. The cigarette, cotton fiber, hair, polyester fiber, nylon fiber, paper, and bread were used as a combustible material. This analyzing software and sensor controlling algorithm were embedded into 8-bit micro-controller. Also the detected multiple gas sensor signals were simultaneously transferred to the personnel computer. The results showed that the air pollution detecting sensor could be used as an efficient sensor for a fire detector which showed high sensitivity in volatile organic compounds. The proposed detecting algorithm may give more information to us compared to the conventional method for determining a threshold value. A fire detecting device with a multi-sensor is likely to be a practical and commercial technology, which can be used for domestic and office environment as well as has a comparatively low cost and high efficiency compared to the conventional device.

Keywords

References

  1. J. R. Hall and A. E. Cote, "American's fire problem and fire protection", Fire Protection Handbook, 17th ed., NFPA, Quincy, MA, 7-9, 1991.
  2. M. J. Karter and S. G. Badger, "1999 United States firefighter injuries", NFPA Journal, Quincy, MA, USA, 2000.
  3. A. M. Raimundoa and A. R. Figueiredo, "Personal protective clothing and safety of firefighters near a high intensity fire front", Fire Safety J., Vol. 44, pp. 514-521, 2009. https://doi.org/10.1016/j.firesaf.2008.10.007
  4. J. K. Michael, Jr. and L. M. Joseph, "U.S. firefighter injuries-2010", National Fire Protection Association, 2010.
  5. B. C. Ko, K. H. Cheong, and J. Y. Nam, "Fire detection based on vision sensor and support vector machines", Fire Safety Journal, Vol. 44, No. 3, pp. 322-329, 2008.
  6. T. Celi and H. Demirel, "Fire detection in video sequences using a generic color model", Fire Safety J., Vol. 44, No. 2, pp. 147-158, 2009, https://doi.org/10.1016/j.firesaf.2008.05.005
  7. B. U. Toreyin, Y. Dedeoglu, U. Gudukbay, and A. E. Cetin, "Computer vision based method for real-time fire and flame detection", Pattern Recognition Lett., Vol. 27, No. 1, pp. 49-58, 2006. https://doi.org/10.1016/j.patrec.2005.06.015
  8. B. C. Ko, K. H. Cheong, and J. Y. Nam, "Early fire detection algorithm based on irregular patterns of flames and hierarchical", Bayesian Networks Fire Safety Journal, Vol. 45, No. 4, pp. 262-270, 2010. https://doi.org/10.1016/j.firesaf.2010.04.001
  9. T. H. Chen, P. H. Wu, and Y. C. Chiou, "An early fire-detection method based on image processing", 2004 International Conference on Image Processing, Vol. 3, pp. 1707-1710, 2004.
  10. M. D. Blagojeviae and D. M. Petkoviae, "Detecting fire in early stage-a new approach", Working and Living Environmental Protection, Vol. 2, No. 1, pp. 19-26, 2001.
  11. R. W. Bukowski and P. A. Reneke, "New approaches to the interpretation of signals from fire sensors", in Proceedings of the 11th International Conference on Automatic Fire Detection, Duisburg, Germany, pp. 11-21, 1999.
  12. K. A. Notarianni, D. Cyganski, and R. J. Duckworth, "Development of a portable flashover predictor (fire-ground environment sensor system)", in International Conference on Safety (ICS2012), IIT Gandhinagar, India, 2012.
  13. H. Anegg and M. Umlauft, LoL@: "Usability of a location based UMTS application", Elektrotechnik und Informationstechnik, Vol. 120, pp. 61-65, 2003. https://doi.org/10.1007/BF03054841
  14. D. T. Gottuk, M. J. Peatross, R. J. Roby, and C. L. Beyler, "Advanced fire detection using multi-signature alarm algorithms", Fire Safety J., Vol. 37, No. 4, pp. 381-394, 2002. https://doi.org/10.1016/S0379-7112(01)00057-1
  15. R. Davies, "The use of detectors in modern fire protection, apolo fire detectors", Fire Magazines. Fire Safety Engineering, pp. 28-30, 2000.
  16. Fire & Security Products, "Multisensor smoke detector for the auto-addressable detector bus SynoLOOP", SIEMENS, Siemens Building Technologies, Jan, 2003.
  17. S. Choi and Z. Jiang, "A novel wearable sensor device with conductive fabric and PVDF film for monitoring cardiorespiratory signals", Sens. Actuator A-Phys., Vol. 128, No. 2, pp. 317-326, 2006. https://doi.org/10.1016/j.sna.2006.02.012
  18. T. Yoshinori, J. Zhongwei, W. Tetsuyou, Z. Jiabin, and M. Nobuaki, "Development of a residential fire detection system with a CCD camera", The Japan Society of Mechanical Engineers, Vol. 45, pp. 485-486, 2007.
  19. D. J. Wang, T. H. Chen, Y. H. Yin, and T. Y. Chen, "Smoke detection for early fire-alarming system based on video processing", Journal of Digital Information Management, Vol. 6, No. 2, pp. 196-202, 2008.
  20. C. W. Park and I. H. Kim, "A multi-channel data acquisition/logging system for a sensor signal processing", J. Sensor Sci. & Tech., Vol. 16, No. 3, pp. 187-191, 2007. https://doi.org/10.5369/JSST.2007.16.3.187

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