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Fire Technology
Erschienen in: Fire Technology 1/2008

01.03.2008

Intelligent Space as a Framework for Fire Detection and Evacuation

verfasst von: Primož Podržaj, Hideki Hashimoto

Erschienen in: Fire Technology | Ausgabe 1/2008

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Abstract

This article discusses the application of Intelligent Space (iSpace) for fire related purposes. Both fire detection and fire evacuation are studied. It is shown that iSpace can improve current fire detection algorithms and offers a situation adaptable fire evacuation at the same time. As in future more and more factories and homes are expected to be of the iSpace concept, fire related application of iSpace is simply an addition of appropriate software and is therefore extremely easy and inexpensive.
Vorheriger Artikel Analysis of Fireground Standard Operating Guidelines/Procedures Compliance for Austin Fire Department
Nächster Artikel Examining the Potential Fire Risk from a Short Duration Pyrotechnic Event

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Literatur
1.
F. Derbel (2001). Modeling Fire Detector Signals by Means of System Identification Techniques, IEEE Transactions on Instrumentation and Measurement, 50(6): 1815–1821CrossRef
2.
Y. Lizhong, Z. Xiaodong, D. Zhihua, F. Weicheng, W. Qing’an (2002). Fire Situation and Fire Characteristic Analysis Based on Fire Statistics of China«, Fire Safety Journal, 37(8): 785–802CrossRef
3.
E. Hess, “Alarmstatistik – ungewollte und erfolgreiche Alarmmeldungen von Brandmeldeanlagen – eine 10-jährige Studie, Fachtagung Brandmeldeanlagen, 1998
4.
http://www.fire.org.nz/facts_stats/false_alarm/false.htm
5.
Fire Statistics, United Kingdom, 2003
6.
White Paper: Home Smoke Alarms and Other Fire Detection and Alarm Equipment, Public/Private Fire Safety Council, April, 2006
7.
A. Keller, M. Rüegg, M. Forster, M. Loepfe, R. Pleisch, P. Nebiker, H. Burtscher (2005). Open Photoacoustic Sensor as Smoke Detector«, Sensors and Actuators B Chemical, 104(1–3): 1–7CrossRef
8.
Y. Gupta, A. Dharmadhikari (1985). Analysis of False Alarms Given by Automatic Fire Detection Systems«, Reliability Engineering, 13(3): 163–174CrossRef
9.
F.W. Mowrer and M.G. Pecht, “Exploratory Research on Nonthermal Damage to Electronics from Fires and Fire-Suppression agents,” in Proceedings of the Annual Reliability and Maintainability Symposium 1995, Washington, DC, USA, 1995, pp. 1–6
10.
A.M. Hasofer, I. Thomas (2006). Analysis of Fatalities and Injuries in Building Fire Statistics«, Fire Safety Journal, 41(1): 2–14CrossRef
11.
A.K. Gupta, P.K. Yadav, (2004). Safe-r: A New Model to Study the Evacuation Profile of a Building«, Fire Safety Journal, 39(7): 539–556CrossRef
12.
T.T. Pires (2005). An Approach for Modeling Human Cognitive Behavior in Evacuation Models«, Fire Safety Journal, 40(2): 177–189CrossRef
13.
L. Benthorn, H. Frantzich (1999). Fire Alarm in a Public Building: How Do People Evaluate Information and Choose an Evacuation Exit?«, Fire and Materials, 23(6): 311–315CrossRef
14.
J.-H. Lee, H. Hashimoto, “Intelligent Space, Its Past and Future,” in The 25th Annual Conference of the IEEE Industrial Electronics Society, Vol. 1, San Jose, CA, USA, 1999, pp. 126–131
15.
G. Appenzeller, J.-H. Lee, H. Hashimoto, “Building Topological Maps by Looking at People: An Example of Cooperation Between Intelligent Spaces and Robots,” in Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 1997), Vol. 3, Grenoble, France, 1997, pp. 1326–1333
16.
J.-H. Lee, H. Hashimoto (2003). Controlling Mobile Robots in Distributed Intelligent Sensor Network, IEEE Transactions on Industrial Electronics, 50(5): 890–902CrossRef
17.
J.-H. Lee, K. Morioka, N. Ando, H. Hashimoto (2004). Cooperation of Distributed Intelligent Sensors in Intelligent Environment. IEEE/ASME Transactions on Mechatronics, 9(3): 535–543CrossRef
18.
K. Morioka, J.-H. Lee, H. Hashimoto (2004). Human-Following Mobile Robot in a Distributed Intelligent Sensor Network. IEEE Transactions on Industrial Electronics, 51(1): 229–237CrossRef
19.
K. Morioka, H. Hashimoto, “Appearance Based Object Identification for Distributed Vision Sensors in Intelligent Space,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), Vol 1, Sendai, Japan, 2004, pp. 199–204
20.
K. Morioka, H. Hashimoto, “Color Appearance Based Object Identification in Intelligent Space,” in The 8th IEEE International Workshop on Advanced Motion Control (AMC’04), Kawasaki, Japan, 2004, pp. 505–510
21.
F. Derbel, (2004). Performance Improvement of Fire Detectors by Means of Gas Sensors and Neural Networks, Fire Safety Journal, 39(5): 383–398CrossRef
22.
H. Ishii, T.O. Yamauchi, S. Ohtani (1991). An Algorithm for Improving the Reliability of Detection with Processing of Multiple Sensors’ Signal, Fire Safety Journal, 17(6): 469–484CrossRef
23.
R. Siebel (1991). Composite Detection Algorithm Using Signal Trend Information of Two Different Sensors«, Fire Safety Journal, 17(6): 519–534CrossRef
24.
L.A. Cestari, C. Worrell, J.A. Milke (2005). Advanced Fire Detection Algorithms Using Data from the Home Smoke Detector Project«, Fire Safety Journal, 40(1): 1–28CrossRef
25.
M.J. Spearpoint, J.N. Smithies (1997). Experimental Analysis of the Performance of a Multi-Sensor Two-Stage Fire Detection and Water Discharge Algorithm«, Fire Safety Journal, 29(2-3): 141–157CrossRef
26.
H.C. Müller, A. Fischer, “Robust Fire Detection Algorithm for Temperature and Optical Smoke Density Using Fuzzy Logic,” in The IEEE 29th Annual International Carnahan Conference on Security Technology, Sanderstead, Surrey, England, 1995, pp. 197–204
27.
B. Charumporn, M. Yoshioka, T. Fujinaka, S. Omatu, “Early Stage Fire Detection Using Reliable Metal Oxide Gas Sensors and Artificial Neural Networks,” in Proceedings of the International Joint Conference on Neural Networks, Vol. 4, Portland, Oregon, USA, 2003, pp. 3185–3188
28.
J.R. Qualey III (2000). Fire Test Comparisons of Smoke Detector Response Times«, Fire Technology, 36(2):89-108CrossRef
29.
T.-H.C.-H. Chen, P.-H. Wu, Y.-C. Chiou, “An Early Fire-Detection Method Based on Image Processing,” in International Conference on Image Processing (ICIP), Vol. 3, Singapore, 2004, pp. 1707–1710
30.
T.-H.C.-H. Chen, P.-H. Wu, Y.-C. Chiou, “An Intelligent Real-Time Fire Detection Method Based on Video Processing,” in Proceedings of the 37th Annual IEEE International Carnahan Conference on Security Technology, Taipei, Taiwan, 2003, pp. 104–111
31.
G. Healey, D. Slater, T. Lin, B. Drda, A.D. Goedke, “A System for Real Time Fire Detection,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1993, pp. 605–606
32.
B.U. Töreyin, Y. Dedeoglu, U. Güdükbay, A.E. Cetin (2006). Computer Vision Based Method for Real-Time Fire and Flame Detection, Pattern Recognition Letters, 27(1): 49–58CrossRef
33.
T. Chen, H. Yuan, G. Su, W. Fan (2004). An Automatic Fire Searching and Suppression System for Large Spaces«, Fire Safety Journal, 39(4): 297-307CrossRef
34.
P.A. Olsson, M.A. Regan (2001), A Comparison Between Actual and Predicted Evacuation Times«, Safety Science, 38(2): 139–145CrossRef
35.
S. Gwynne, E.R. Galea, P.J. Lawrence, L. Filippidis (2001), Modelling Occupant Interaction with Fire Conditions Using the Building Exodus Evacuation Model«, Fire Safety Journal, 36(4): 327–357CrossRef
36.
S.M. Lo, Z. Fang, P. Lin, G.S. Zhi (2004). An Evacuation Model: The SGEM Package«, Fire Safety Journal, 39(3): 169–190CrossRef
37.
M. Spearpoint (2004). The Effect of Pre-Evacuation Distributions on Evacuation Times in the Simulex Model, Journal of Fire Protection Engineering, 14(1): 33–53CrossRef
38.
M. Shiomi, T. Kanda, H. Ishiguro, N. Hagita (2007). Interactive Humanoid Robots for a Science Museum. IEEE Intelligent Systems, 22(2): 25-32CrossRef
39.
T.-S. Jin, J.-M. Lee, H. Hashimoto (2006). Position Estimation of a Mobile Robot Using Images of a Moving Target in Intelligent Space with Distributed Sensors«. Advanced Robotics, 20(6): 737-762CrossRef
Metadaten
Titel
Intelligent Space as a Framework for Fire Detection and Evacuation
verfasst von
Primož Podržaj
Hideki Hashimoto
Publikationsdatum
01.03.2008
Verlag
Springer US
Erschienen in
Fire Technology / Ausgabe 1/2008
Print ISSN: 0015-2684
Elektronische ISSN: 1572-8099
DOI
https://doi.org/10.1007/s10694-007-0021-9

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