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Title
Economic justification for the new approach of using videobased smoke detection with the aim of decreasing total costs incurred by the untimely detection of fires on ships

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Bistrović, Miroslav1; Ristov, Pančo2
URI: https://repository.am.szczecin.pl/handle/123456789/2422
2017-09-27
Although various methods of using new techniques and technologies in ship fire alarm systems have been developed to date, some of which have made significant improvements in the functioning of such systems, in practice there is still plenty of room for further research regarding the operational efficiency of ship fire alarm systems and its impact on crew, passenger and overall ship safety. The application of electronic and computer technologies enables the development of intelligent solutions to improve the efficiency of ship fire alarm systems. Besides the economic justification, this paper presents a comparative analysis of classical and modern approaches based on video detection and computer vision in the detection of early phase smoke as a precursor to fire incidents. The economic justification of the new approach is concerned with decreasing the costs incurred by the untimely detection of the early stages of fire in ship engine rooms.
  1. 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, December.,
  2. Bistrović, M., Kezić, D. & Komorčec, D. (2013) Historical Development of Fire Detection System Technology. International Journal of Maritime & Technology “Naše more” 60(5–6), pp. 127–133.,
  3. Bistrović, M. & Tomas, V. (2014) Application of New Techniques and Information Technology for Early Fire Detection on Ships. International Journal of Maritime Science & Technology “Naše more” 61(5–6), pp. 87–95.,
  4. Brovko, N., Bogush, R. & Ablameyko, S. (2013) Smoke Detection Algorithm for Intelligent Video Surveillance System. Computer Science Journal of Moldova 21, 1(61), pp. 142–156.,
  5. Bugarić, M. (2007) Prepoznavanje dima i vatre temeljeno na analizi digitalne slike. Fakultet elektrotehnike, strojarstva i brodogradnje, Sveučilište u Splitu, prosinac.,
  6. Chen, T.H., Yin, Y.H., Huang, S.F. & Ye, Y.T. (2006) The Smoke Detection for Early Fire –Alarming System Base on Video Processing. Intelligent Information Hiding and Multimedia Signal Processing IIH–MSP’06. International Conference, pp. 427–430.,
  7. Chen, Y.L., Chin, T.L., Chao, T.H. & Miin, T.S. (2012) Smoke Detection Using Spatial and Temporal Analyses. International Journal of Innovative Computing, Information and Control 8, 7(A), July, pp. 4749–4770.,
  8. Chybowski, L., Gawdzińska, K., Ślesicki, O., Patejuk, K. & Nowosad, G. (2015) An engine room simulator as an educational tool for marine engineers relating to explosion and fire prevention of marine diesel engines. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 43 (115), pp. 15–21.,
  9. DNV (2010) Fire Safety. [Online] Available from: https:// exchange.dnv.com/Documentation/Maritime/FireSafety/ FIRE%20mappe%202.qxd.pdf [Accessed: February 12, 2017],
  10. Gottuk, D.T. (2008) Video Image Detection Systems Instalation. Hughes Associates.,
  11. Krystosik-Gromadzińska, A. (2016) Engine room fire safety. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 47 (119), pp. 29–35.,
  12. Kwiecińska, B. (2015) Cause-and-effect analysis of ship fires using relations diagrams. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 44 (116), pp. 187–191.,
  13. Millan-Garcia, L., Sanchez-Perez, G., Nakano, M., Toscano- Medina, K., Perez-Meanam, H. & Rojas-Cardenas, L. (2012) An Early Fire Detection Algorithm Using IP Cameras. National Polytechnic Institute, San Francisco Culhuacan, Mexico, May.,
  14. Toreyin, B.U. & Cetin, A.E. (2005) Real-time Fire and Smoke Detection in Video. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Philadelphia, PA, USA, pp. 18–23, March.,
  15. Toreyin, B.U., Dedeoglu, Y. & Cetin, A.E. (2006) Contour Based Smoke Detection in Video Using Wavelets. 14th European Signal Processing Conference EUSIPCO 2006, Florance, Italy, September 4–8.,
  16. Toreyin, B.U., Dedeoğlu, Y., Gudukbay, U. & Cetin, A.E. (2005) Wavelet Based Real-Time Smoke Detection in Video. 13th European Signal Processing Conference EUSIPCO 2005, Turkey, Antalya.,

Title

Economic justification for the new approach of using videobased smoke detection with the aim of decreasing total costs incurred by the untimely detection of fires on ships

Pages

21–27

Figures

7

Tables

3

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

10.17402/226

Type

Original scientific article

Journal

51 Scientific Journals of the Maritime University of Szczecin, no. 51 / 2017

Publisher

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Copyright Holder

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Published

2017-09-27

Recieved

2017-08-01

Accepted

2017-08-16

Funding

No data

Keywords

ships, video technology, computer vision, fire alarm, video detection, smoke detectors

URI:

https://repository.am.szczecin.pl/handle/123456789/2422

Language

English

Authors

Bistrović, Miroslav1; Ristov, Pančo2

Affiliation

1 Faculty of Maritime Studies Rijeka, Croatia, Rijeka, mbistrov@pfri.hr
2 Faculty of Maritime Studies Rijeka, Croatia, Rijeka,

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