Skip to main content
Top
Published in: Fire Technology 2/2010

01-04-2010

A Full-Scale Prototype Multisensor System for Damage Control and Situational Awareness

Authors: Christian P. Minor, Kevin J. Johnson, Susan L. Rose-Pehrsson, Jeffrey C. Owrutsky, Stephen C. Wales, Daniel A. Steinhurst, Daniel T. Gottuk

Published in: Fire Technology | Issue 2/2010

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The U.S. Naval Research Laboratory has developed a real-time, remote detection system for damage control and situational awareness, called “Volume Sensor”, as part of the Advanced Volume Sensor Task, an important element of the U.S. Navy’s Office of Naval Research, Future Naval Capabilities program, Advanced Damage Countermeasures. The objective of the Advanced Volume Sensor Task was to develop an affordable detection system that could identify shipboard damage control conditions and provide real-time threat level information for damage control events (such as flaming and smoldering fires, explosions, pipe ruptures, flooding, and gas releases) while eliminating the false alarms typical of fire detection systems in industrial environments. The approach was to build a multisensor, multicriteria system from low cost commercial-off-the-shelf hardware components integrated with intelligent software and data fusion algorithms. Two multicompartment prototype Volume Sensor systems were constructed at NRL and tested with a series of simulated damage control events at the Navy’s full-scale fire test facility, the ex-USS Shadwell in Mobile Bay, AL. Results from this test series indicate that the Volume Sensor Prototypes performed as well or better than commercial video image detection and point-detection systems in critical quality metrics for fire detection while also providing additional situational awareness for flooding scenarios, fire suppression system activations, and gas release events.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Footnotes
1
For example, a signal from the optical IR sensor with a level well above background may be observed from a flaming fire source, an overheating engine, or a person welding, corresponding respectively to flame, thermal, and nuisance events in Volume Sensor.
 
2
Alternatively, a channel could be a sensor algorithm that generated values for multiple features or events, one per data block.
 
3
UDP is similar to, but simpler than the more common transmission control protocol (TCP).
 
4
Sensor algorithm information is typically binary valued (0––all quiet, 1––event/alarm), and for that reason is better suited to Boolean decision logic. Raw sensor data are typically real valued (0 ≤ × ≤ 1), and thus well suited for mathematical pattern recognition algorithms and statistical modeling.
 
5
For example, a water alarm for a flaming trash can source is considered an inappropriate alarm, and therefore incorrect.
 
6
Incorrect alarms to nuisance sources were considered false positive alarms.
 
7
The number of monitoring periods (234) is equal the number of compartments (6) times the number of tests (39).
 
Literature
1.
go back to reference Hinkle JB, Glover TL (2004) Reduced manning in DDG 51 class warships: challenges, opportunities, and the way ahead for reduced manning on all US navy ships. Engineering the total ship (ETS) symposium. http://stinet.dtic.mil Hinkle JB, Glover TL (2004) Reduced manning in DDG 51 class warships: challenges, opportunities, and the way ahead for reduced manning on all US navy ships. Engineering the total ship (ETS) symposium. http://​stinet.​dtic.​mil
4.
go back to reference Carhart HW, Toomey TA, Williams FW (1992) The ex-USS Shadwell full-scale fire research and test ship, NRL memorandum report 6074. US Naval Research Laboratory. http://stinet.dtic.mil. Revised 20 Jan 1988, reissued Carhart HW, Toomey TA, Williams FW (1992) The ex-USS Shadwell full-scale fire research and test ship, NRL memorandum report 6074. US Naval Research Laboratory. http://​stinet.​dtic.​mil. Revised 20 Jan 1988, reissued
5.
go back to reference Lynch JA et al (2005) Volume sensor development test series 5––multi-compartment system, NRL/MR/6180—05-8931. US Naval Research Laboratory, http://stinet.dtic.mil, December 30 Lynch JA et al (2005) Volume sensor development test series 5––multi-compartment system, NRL/MR/6180—05-8931. US Naval Research Laboratory, http://​stinet.​dtic.​mil, December 30
6.
go back to reference Privalov G, Privalov D (2001) Early fire detection method and apparatus, United States Patent 6,184,792, February 6 Privalov G, Privalov D (2001) Early fire detection method and apparatus, United States Patent 6,184,792, February 6
7.
go back to reference Rizzotti D, Schibli N, Straumann W (2005) Process and device for detecting fires based on image analysis. United States Patent 6,937,742, August 30 Rizzotti D, Schibli N, Straumann W (2005) Process and device for detecting fires based on image analysis. United States Patent 6,937,742, August 30
11.
go back to reference Thomas PJ (1993) Near-infrared forest-fire detection concept. Appl Opt 32(27):5348CrossRef Thomas PJ (1993) Near-infrared forest-fire detection concept. Appl Opt 32(27):5348CrossRef
13.
go back to reference Wieser D, Brupbacher T (2001) Smoke detection in tunnels using video images, NIST SP 965 Wieser D, Brupbacher T (2001) Smoke detection in tunnels using video images, NIST SP 965
14.
15.
go back to reference Chan WS, Burge JW (1999) Imaging flame detection system. United States Patent 5,937,077, August 10 Chan WS, Burge JW (1999) Imaging flame detection system. United States Patent 5,937,077, August 10
16.
go back to reference Steinhurst DA et al (2003) Long wavelength video-based event detection, preliminary results from the CVNX and VS1 test series, ex-USS Shadwell, April 7–25, 2003, NRL/MR/6110–03-8733. US Naval Research Laboratory, http://stinet.dtic.mil, December 31 Steinhurst DA et al (2003) Long wavelength video-based event detection, preliminary results from the CVNX and VS1 test series, ex-USS Shadwell, April 7–25, 2003, NRL/MR/6110–03-8733. US Naval Research Laboratory, http://​stinet.​dtic.​mil, December 31
17.
go back to reference Wittkopp T, Hecker C, Opitz D (2001) The cargo fire monitoring system (CFMS) for the visualization of fire events in aircraft cargo holds. In: Beall K, Grosshandler W, Luck H (eds) Proceedings of AUBE 2001: 12th international conference on automatic fire detection, March 25–28 Wittkopp T, Hecker C, Opitz D (2001) The cargo fire monitoring system (CFMS) for the visualization of fire events in aircraft cargo holds. In: Beall K, Grosshandler W, Luck H (eds) Proceedings of AUBE 2001: 12th international conference on automatic fire detection, March 25–28
18.
go back to reference Owrutsky JC, Steinhurst DA (2006) Fire detection method. United States Patent, US 7,154,400 B2, Dec. 26 Owrutsky JC, Steinhurst DA (2006) Fire detection method. United States Patent, US 7,154,400 B2, Dec. 26
19.
go back to reference Zhu YJ et al (1998) Experimental and numerical evaluation of a near infrared fire detector. In: Slaughter KC (ed) Proceedings of fire research and engineering, second international conference, ICFRE2, p 512 Zhu YJ et al (1998) Experimental and numerical evaluation of a near infrared fire detector. In: Slaughter KC (ed) Proceedings of fire research and engineering, second international conference, ICFRE2, p 512
20.
go back to reference Lloyd AC et al (1998) Fire detection using reflected near infrared radiation and source temperature discrimination. NIST GCR 98:747 Lloyd AC et al (1998) Fire detection using reflected near infrared radiation and source temperature discrimination. NIST GCR 98:747
21.
go back to reference Sivathanu Y et al (2000) Flame and smoke detector. United States Patent 6,111,511, August 29 Sivathanu Y et al (2000) Flame and smoke detector. United States Patent 6,111,511, August 29
23.
go back to reference Fire Protection Equipment Directory, Underwriters Laboratories, Inc. Northbrook, IL, 2007 Fire Protection Equipment Directory, Underwriters Laboratories, Inc. Northbrook, IL, 2007
24.
go back to reference Malinowski ER (1991) Factor analysis in chemistry, 2nd edn. John Wiley & Sons, New YorkMATH Malinowski ER (1991) Factor analysis in chemistry, 2nd edn. John Wiley & Sons, New YorkMATH
25.
go back to reference Steinhurst DA et al (2005) Spectral-based volume sensor testbed algorithm development, Test series VS2, NRL/MR/6110—05-8856. US Naval Research Laboratory, http://stinet.dtic.mil Steinhurst DA et al (2005) Spectral-based volume sensor testbed algorithm development, Test series VS2, NRL/MR/6110—05-8856. US Naval Research Laboratory, http://​stinet.​dtic.​mil
28.
go back to reference Wales SC et al (2004) Acoustic event signatures for damage control: water events and shipboard ambient noise, NRL/MR/7120–04-8845. US Naval Research Laboratory. http://stinet.dtic.mil, October 12 Wales SC et al (2004) Acoustic event signatures for damage control: water events and shipboard ambient noise, NRL/MR/7120–04-8845. US Naval Research Laboratory. http://​stinet.​dtic.​mil, October 12
29.
go back to reference Nichols M (2001)A survey of multisensor data fusion systems. In: Hall DL, Llinas J (eds) Handbook of multisensor data fusion, CRC Press, New York, pp 22-1–22-7 Nichols M (2001)A survey of multisensor data fusion systems. In: Hall DL, Llinas J (eds) Handbook of multisensor data fusion, CRC Press, New York, pp 22-1–22-7
31.
go back to reference Klein LA (2004) Sensor and data fusion: a tool for information assessment and decision making, SPIE Press, Bellingham, WACrossRef Klein LA (2004) Sensor and data fusion: a tool for information assessment and decision making, SPIE Press, Bellingham, WACrossRef
33.
go back to reference (2004) Proceedings of the 13th International Conference on Automatic Fire Detection—AUBE 2004 Duisberg, Germany, September 14–16 (2004) Proceedings of the 13th International Conference on Automatic Fire Detection—AUBE 2004 Duisberg, Germany, September 14–16
35.
go back to reference Luo RC, Su KL (1999) A review of high-level multisensor fusion: approaches and applications. Proceedings of the 1999 IEEE international conference on multisensor fusion and integration for intelligent systems, Taipei, Taiwan, R.O.C., August Luo RC, Su KL (1999) A review of high-level multisensor fusion: approaches and applications. Proceedings of the 1999 IEEE international conference on multisensor fusion and integration for intelligent systems, Taipei, Taiwan, R.O.C., August
36.
go back to reference Lynch JA et al (2004) Volume sensor development test series 2––lighting conditions, camera settings, and spectral and acoustic signatures, NRL/MR/6180—04-8843. US Naval Research Laboratory. http://stinet.dtic.mil, November 24 Lynch JA et al (2004) Volume sensor development test series 2––lighting conditions, camera settings, and spectral and acoustic signatures, NRL/MR/6180—04-8843. US Naval Research Laboratory. http://​stinet.​dtic.​mil, November 24
39.
go back to reference Shaffer RE, Rose-Pehrsson SL (1999) Improved probabilistic neural network algorithm for chemical sensor array pattern recognition. Anal Chem 71(19):4263–4271. doi:10.1021/ac990238 CrossRef Shaffer RE, Rose-Pehrsson SL (1999) Improved probabilistic neural network algorithm for chemical sensor array pattern recognition. Anal Chem 71(19):4263–4271. doi:10.​1021/​ac990238 CrossRef
40.
go back to reference Hart SJ et al (2001) Real-time classification performance and failure mode analysis of a physical/chemical sensor array and a probabilistic neural network. Field Anal Chem Technol 5(5):244–258. doi:10.1002/fact.10004 CrossRef Hart SJ et al (2001) Real-time classification performance and failure mode analysis of a physical/chemical sensor array and a probabilistic neural network. Field Anal Chem Technol 5(5):244–258. doi:10.​1002/​fact.​10004 CrossRef
41.
go back to reference Hart SJ, Shaffer RE, Rose-Pehrsson SL (2001) Using physics-based modeler outputs to train probabilistic neural networks for unexploded ordnance (UXO) classification in magnetometry surveys. IEEE Trans Geosci Rem Sens 39(4):797–804. doi:10.1109/36.917899 Hart SJ, Shaffer RE, Rose-Pehrsson SL (2001) Using physics-based modeler outputs to train probabilistic neural networks for unexploded ordnance (UXO) classification in magnetometry surveys. IEEE Trans Geosci Rem Sens 39(4):797–804. doi:10.​1109/​36.​917899
42.
go back to reference Collins LM et al (2001) A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection. IEEE Trans Fuzzy Syst 9(1):17–30. doi:10.1109/91.917111 CrossRef Collins LM et al (2001) A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection. IEEE Trans Fuzzy Syst 9(1):17–30. doi:10.​1109/​91.​917111 CrossRef
45.
go back to reference Drake C (2007) object-oriented programming with C++ and Smalltalk. Prentice Hall, London Drake C (2007) object-oriented programming with C++ and Smalltalk. Prentice Hall, London
46.
go back to reference Lynch JA et al (2006) Volume sensor development test series 4 results––multi-component prototype evaluation, NRL/MR/6180—06-8934. US Naval Research Laboratory. http://stinet.dtic.mil, January 25 Lynch JA et al (2006) Volume sensor development test series 4 results––multi-component prototype evaluation, NRL/MR/6180—06-8934. US Naval Research Laboratory. http://​stinet.​dtic.​mil, January 25
Metadata
Title
A Full-Scale Prototype Multisensor System for Damage Control and Situational Awareness
Authors
Christian P. Minor
Kevin J. Johnson
Susan L. Rose-Pehrsson
Jeffrey C. Owrutsky
Stephen C. Wales
Daniel A. Steinhurst
Daniel T. Gottuk
Publication date
01-04-2010
Publisher
Springer US
Published in
Fire Technology / Issue 2/2010
Print ISSN: 0015-2684
Electronic ISSN: 1572-8099
DOI
https://doi.org/10.1007/s10694-009-0103-y

Other articles of this Issue 2/2010

Fire Technology 2/2010 Go to the issue