Long wavelength video detection of fire in ship compartments

被引:36
作者
Owrutsky, JC [1 ]
Steinhurst, DA
Minor, CP
Rose-Pehrsson, SL
Williams, FW
Gottuk, DT
机构
[1] USN, Res Lab, Div Chem, Washington, DC 20375 USA
[2] Nova Res Inc, Alexandria, VA 22308 USA
[3] Hughes Associates Inc, Baltimore, MD 21227 USA
关键词
video image fire detection; fire detection; near infrared; long wavelength; camera; flame detection;
D O I
10.1016/j.firesaf.2005.11.011
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper describes progress using filtered, long wavelength video image-based detection (LWVD) of events in laboratory tests and full scale fire testing within the Volume Sensor Program at the U.S. Naval Research Laboratory (NRL). This effort toward developing a real-time, remote sensing detection system utilizes video image detection (VID) systems based on cameras that operate in the visible region, which were developed for detecting smoke and have recently been adapted to detecting fire. However, VID systems are not effective at detecting fire outside the direct line of sight of the camera. Our studies demonstrate that long wavelength imaging achieves effective detection of reflected flame emission compared to visible video images. A system that combines visible and long wavelength image capabilities may be more accurate and sensitive than either alone. Our LWVD approach exploits the long wavelength response of standard CCD arrays used in many cameras. A long pass filter (typically in the range 700-900 nm) increases the contrast for flaming and hot objects and suppresses the normal video image of the space, thereby effectively providing a degree of thermal imaging. There is more emission from hot objects in this spectral region than in the visible region (<600 nm). Testing has demonstrated the detection of objects heated to 400 degrees C or higher. A simple luminosity-based algorithm was developed and used to evaluate camera/filter combinations for fire, smoke and nuisance (false) event detection and response times. (C) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:315 / 320
页数:6
相关论文
共 14 条
[1]  
CHAN WS, 1999, Patent No. 5937077
[2]  
GOTTUK DT, AUBE 04 P 11 INT C A
[3]   A self-adaptive algorithm based on AVHRR multitemporal data analysis for small active fire detection [J].
Lasaponara, R ;
Cuomo, V ;
Macchiato, MF ;
Simoniello, T .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (08) :1723-1749
[4]  
Lloyd A. C., 1998, NIST GCR, V98, P747
[5]  
LYNCH JA, 2004, NRLMR6180048843
[6]   Multisensor/multicriteria fire detection: A new trend rapidly becomes state of the art [J].
Pfister, G .
FIRE TECHNOLOGY, 1997, 33 (02) :115-139
[7]   Early warning fire detection system using a probabilistic neural network [J].
Rose-Pehrsson, SL ;
Hart, SJ ;
Street, TT ;
Williams, FW ;
Hammond, MH ;
Gottuk, DT ;
Wright, MT ;
Wong, JT .
FIRE TECHNOLOGY, 2003, 39 (02) :147-171
[8]  
ROSEPEHRSSON SL, AUBE 04 P 11 INT C A
[9]   Evaluation of a charge-coupled-device-based video sensor for aircraft cargo surveillance [J].
Sentenac, T ;
Le Maoult, Y ;
Orteu, JJ ;
Boucourt, G .
OPTICAL ENGINEERING, 2002, 41 (04) :796-810
[10]  
SIVATHANU Y, 2000, Patent No. 6111511