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Prediction of potential fire hot spots by using a model based on a computerized real-time view with IR cameras on ships

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EN
Abstrakty
EN
One of the key benefits of using thermal imaging is the ability to predict possible fire hazards due to increases in temperature in controlled areas in a particular marine facility or system. This study proposes the possibility of applying new electronic and computer technology as part of a ship’s fire detection system, such as the use of computer vision, using existing marine CCTV systems and installing thermal imaging IR cameras on the same system. It also proposes communication between the CCTV system and the fire detection and central alarm system of a ship. In addition to visual analysis of certain areas on board the ship and the related facilities inside it, with the addition of certain software applications into the existing CCTV system, the system itself becomes a fire alarm system, with the potential to forecast and send early warnings to the ship’s central fire alarm system in real time, thereby contributing to improved safety with regards to various areas, equipment, the ship as a whole, cargo and human lives.
Rocznik
Strony
23--29
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
  • Faculty of Maritime Studies Rijeka Croatia, Rijeka
autor
  • Faculty of Maritime Studies Rijeka Croatia, Rijeka
autor
  • Faculty of Maritime Studies Rijeka Croatia, Rijeka
Bibliografia
  • 1. Bistrović, M. & Tomas, V. (2014) Application of New Techniques and Information Technology for Early Fire Detection on Ships. Naše more, Dubrovnik 61(5-6), pp. 87–95.
  • 2. DNV (2010) Fire Safety. [Online] Available from: https:// exchange.dnv.com/Documentation/ Maritime/FireSafety/ FIRE%20mappe%202.qxd.pdf [Accessed: February 12, 2017]
  • 3. FLIR Systems (2005) ThermaCAMTM P65 User’s manual.
  • 4. Gaussorugues, G. & Chomet, S. (1994) Infared Thermography. Kluwer Academic Pub.
  • 5. IACS (2016) [Online] Available from: http://www.iacs.org. uk/document/public/Publications/ Unified_interpretations/PDF/ UI_SC_pdf2918.pdf [Accessed: January 26, 2017]
  • 6. Kukushkin, G. (2016) Thermal Imaging Cameras for Fire Detection and Prevention on Bord of MS Zaandam. HZ University of Applied Sciences, 08, July 2016, Vlisingen.
  • 7. Kwiecińska, B. (2015) Cause-and-effect analysis of ship fires using relations diagrams. Scientific Journals of the Maritime University of Szczecin 44(116), pp. 187–191.
  • 8. McGrath (2016) [Online] Available from: http://www. akruralenergy.org/2016/2016_REC_Practical_Thermal_Imaging_Application-Mike_McGrath.pdf [Accessed: January 22, 2017]
  • 9. Pašagić, V., Mužević, M. & Kelenc, D. (2008) Infrared Thermography in Marine Applications. Brodogradnja 59(2008)2, pp. 123–130. [Online] Available from: http:// www.hrbi.hr/ brodogradnja/images/stories/2008/208/svi208 _2.pdf [Accessed: March 10, 2017]
  • 10. Petrović, K. (2010) Infracrvena termografija (termovizija) pravi izbor za redovno održavanje. 1. Konferencija „Održavanje 2010” Zenica, B&H, 10_13 Juni 2010, pp. 327–334. [Online] Available from: http://www.odrzavanje.unze.ba/ zbornici/2010/047-O10-056.pdf [Accessed: March 10, 2017]
  • 11. Petrović, K. (2016) Infrared Thermography, Measurement and Control Technology, Kem. Ind. 65(1–2), Zagreb, pp. 110−113.
  • 12. Radmilović, Ž. & Kolar-Gregorić T. (2010) Kriminalističko istraživanje požara – kriminalističko-tehničko gledište. Polic. sigur. (Zagreb), godina 19. broj 1, pp. 50–66. [Online] Available from: https://www.mup.hr/UserDocsImages/ PA/onkd/1-2010/radmilovic_kolar-gregoric.pdf [Accessed: March 10, 2017]
  • 13. Bistrović, M., Ćelić, J. & Komorčec, D. (2016) Computer Vision Application for Early Stage Smoke Detection on Ships. Journal of Maritime & Transportation Sciences 52 (1), pp. 63–80.
  • 14. Industry Search (2017) FLIR, Infrared thermography inspection of ships is gaining momentum – FLIR. [Online] Available from: http://www.flir.co.uk/cs/display/?id=42602 [Accessed: February 27, 2017]
  • 15. Kim, Hee Chul (2016) The Fire Prevention System Using Thermal Imaging Camera in Connection with CCTV. International Journal of Smart Home 10 (11), pp.109–118.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b9382e5b-12c8-407d-bda5-b4547f191cca
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