지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
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.
목차
등록된 정보가 없습니다.
참고문헌 (20)
참고문헌 신청
/ 2003 / Fire & Security Products, Multisensor smoke detector for the auto-addressable detector bus SynoLOOP, Siemens Building Technologies / SIEMENS
A. M. Raimundoa / 2009 / Personal protective clothing and safety of firefighters near a high intensity fire front / Fire Safety J. 44 : 514 ~ 521
B. C. Ko / 2009 / Fire detection based on vision sensor and support vector machines / FIRE SAFETY JOURNAL 44 (3) : 322 ~ 322~329
B. C. Ko / 2010 / Early fire detection algorithm based on irregular patterns of flames and hierarchical Bayesian Networks / FIRE SAFETY JOURNAL 45 (4) : 262 ~ 262~270
B. U. Toreyin / 2006 / Computer vision based method for real-time fire and flame detection / Pattern Recognition Lett. 27 (1) : 49 ~ 58
A. M. Raimundoa / 2009 / Personal protective clothing and safety of firefighters near a high intensity fire front / Fire Safety J. 44 : 514 ~ 521
B. C. Ko / 2009 / Fire detection based on vision sensor and support vector machines / FIRE SAFETY JOURNAL 44 (3) : 322 ~ 322~329
B. C. Ko / 2010 / Early fire detection algorithm based on irregular patterns of flames and hierarchical Bayesian Networks / FIRE SAFETY JOURNAL 45 (4) : 262 ~ 262~270
B. U. Toreyin / 2006 / Computer vision based method for real-time fire and flame detection / Pattern Recognition Lett. 27 (1) : 49 ~ 58
이 논문의 저자 정보
최근 본 자료
댓글(0)
0