Performance evaluation of video surveillance in fire-fighting systems

Introduction. Rationale of the topic of this article is the need to improve the effectiveness of fire detection. One of the modern solutions to this problem is the use of video technology. The article is aimed at developing a method to assess the effectiveness of video surveillance in the fire protection system on the basis of the formed mathematical model.

Methods of research. The fire risks theory is used for formation of mathematical model. The potential fire detection risk is introduced as a quantitative measure of the possibility of undetected fire occurrence at the protected facility, development and implementation of its consequences for people and material valuables. It is calculated as the product of the maximum probability of fire by the probability of its non-detection by the technical means and alarm systems used. The efficiency of video surveillance use in the fire protection system is determined on the basis of compliance of the complex risk index of fire non-detection with the permissible value.

Research results. The possibilities of increasing the efficiency of fire detection through the use of video technology are considered. Reducing the fire detection risk can be achieved by using video channel fire detectors that reduce the time it takes to reliably detect a fire. The probability of reliable detection is an important parameter of the detector during its operation in the fire alarm system and characterizes the degree of performance of its main function. The main ways to improve the efficiency of fire detection are the improvement of fire detectors with video channel, the joint use of fire video detectors and other detection devices, such as automatic multi-criteria detectors, thermal imaging сamera, as well as the use of photo and video in centralized surveillance systems.

Conclusions. The offered method of estimation of efficiency of application of video surveillance in fire protection systems can be used for a substantiation of parameters of technical means (systems) of the fire alarm system and passive fire-fighting measures established on the facility.

1. Brushlinskiy N.N., Sokolov S.V., Klepko E.A. Fundamentals of the Theory of Fire Risks and Its Applications. Moscow, Academy of State Fire Service of EMERCOM of Russia Publ., 2011; 82. (rus.).

2. Zaytsev A.V. Reliability and timeliness of fire detection, and how to consider it in standards for fire alarm systems. Algoritm Bezopasnosti Magazine. 2016; 2:78-81. (rus.).

3. Chlenov A.N., Ryabtsev N.A., Butcinskaya T.A. Risk of entry of the offender to a protected industrial facility. Technology of Technosphere Safety. 2019; 2(84):132-137. DOI: 10.25257/TTS.2019.2.84.132-137 (rus.).

4. Antonenko A.A., Butcinskaya T.A., Chlenov A.N. Regulatory support of systems integrated safety of objects. Technology of Technosphere Safety. 2010; 2(30):11. (rus.).

5. Zaytsev A.G., Chlenov A., Samyshkina E. The role of standardization in terms of ensuring the safety of facilities and property. Algoritm Bezopasnosti Magazine. 2015; 2:6-9. (rus.).

6. Chlenov A.N. New opportunities of management of fire-prevention protection of objects. Fires and Emergencies: Prevention, Elimination. 2013; 3:48-53. (rus.).

7. Chlenov A.N., Demekhin F.V., Butcinskaya T.A., Drovnikova I.G. New directions in the application of video technology in security systems. Vestnik Moskovskogo Energeticheskogo Instituta (Vestnik MEI). 2009; 3:88-93. (rus.).

8. United States Patent No. US 5,926,280 A. Fire detection system utilizing relationship of correspondence with regard to image overlap / T. Yamagishi, M. Kishimoto; Nohmi Bosai Ltd. Appl. No. 08/901,074, 28.07.1997. Publ. 20.07.1999.

9. Marbach G., Loepfe M., Brupbacher T. An image processing technique for fire detection in video images. Fire Safety Journal. 2006; 41(4):285-289. DOI: 10.1016/j.firesaf.2006.02.001

10. Favorskaya M., Levtin K. Early smoke detection in outdoor space by spatio-temporal clustering using a single video camera. Recent Advances in Knowledge-based Paradigms and Applications. Advances in Intelligent Systems and Computing. Vol. 234. Switzerland, Springer, 2014; 43-56. DOI: 10.1007/978-3-319-01649-8_3

11. Dukuzumuremyi J.P., Zou B., Hanyurwimfura D. A Novel Algorithm for Fire/Smoke Detection based on ComputerVision. International Journal of Hybrid Information Technology. 2014; 7(3):143-154. DOI: 10.14257/ijhit.2014.7.3.15

12. Favorskaya M., Pyataeva A., Popov A. Verification of smoke detection in video sequences based on spatio-temporal local binary patterns. Procedia Computer Science. 2015; 60:671-680. DOI: 10.1016/j.procs.2015.08.205

13. Minin I.V., Logachev V.G. Fire detection method by using digital image processing. Fundamental Research. 2016; 6-2:299-307. (rus.).

14. Schultze T., Kempka T., Willms I. Audio–video fire-detection of open fires. Fire Safety Journal. 2006; 41(4):311-314. DOI: 10.1016/j.firesaf.2006.01.002

15. Celik T., Demirel H., Ozkaramanli H., Uyguroglu M. Fire detection using statistical color model in video sequences. Journal of Visual Communication and Image Representation. 2007; 18(2):176-185. DOI: 10.1016/j.jvcir.2006.12.003

16. Toreyin B.U., Dedeoglu Y., Cetin A.E. Flame detection in video using hidden Markov models. IEEE International Conference on Image Processing 2005. 2005; 2:1230. DOI: 10.1109/ICIP.2005.1530284

17. Cetin A.E., Merci B., Günay O., Töreyin B.U., Verstockt S. Methods and techniques for fire detection: signal, image and video processing perspectives. Academic Press, 2016; 95.

18. Chlenov A.N., Butsynskaya T.A., Zhuravlev S.Yu., Nikolaev V.A. Operation efficiency of multicriterial fire detector. Pozharovzryvobezopasnost/Fire and Explosion Safety. 2016; 25(12):55-60. DOI: 10.18322/PVB.2016.25.12.55-60 (rus.).

19. Antipov O. Fire detectors with video detection channel. Current status and prospects. Security and Safety. 2017; 2:93-95. (rus.).

20. Zdor V.L., Zemlemerov M.A., Rybakov I.V., Surkov S.A. Features and prospects for the use of fire detectors with video detection channel. Actual Problems of Fire Safety : Materials of the XXVIII International Scientific-Practical Conference. 2016; 409-413. (rus.).

21. Sharovar F.I. Principles of building devices and systems for automatic fire alarm. Moscow, Stroyizdat Publ., 1983; 335.

22. Serezevskiy A.V., Barinov I.A., Borisov S.P., Kuzmina E.N. Comparative analysis and development prospects for the use of photo and video fixation tools in conjunction with centralized surveillance systems. Algoritm Bezopasnosti Magazine. 2016; 2:62-65. (rus.).