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A fire alarm system (FAS) is a system comprising signalling-alarm devices, which automatically detect and transmit information about fire, but also receivers of fire alarms and receivers for damage signals. Fire alarm systems function in different environmental conditions. During operation they should be in state of fitness. This is determined by the reliability of the assembled units and rational management of the operation process. Therefore a reliability and operational analysis of fire alarm systems as a whole is essential. This article presents an authorial model and an operational and reliability analysis of FAS, which is exploited in a transport building. It also demonstrates relationships occurring in the analysed system, where to an addressable fire alarm central unit with detection loops and control-monitoring loops alarm device lines (with monitored relay outputs for actuation of alarm-signalling devices) were connected. Research and analysis of results for representative FAS, which were exploited in similar environmental conditions, were conducted in order to determine operational and reliability parameters of the investigated system. FAS computer simulation was run during the time t = 1 year of safety system operation. This led to the calculation of the probability value of the analysed FAS staying in the examined operational states.


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The analysis of the operational process of a complex fire alarm system used in transport facilities

Show Author's information Jacek Paś1Tomasz Klimczak2Adam Rosiński3( )Marek Stawowy3
Military University of Technology Faculty of Electronic, Institute of Electronic Systems, Division of Electronic Systems Exploitations, ul. gen. S. Kaliskiego 2, 00-908 Warsaw, Poland
The Main School of Fire Service, ul. Juliusza Słowackiego 52/54, 01-629 Warsaw, Poland
Warsaw University of Technology, Faculty of Transport, Department of Telecommunications in Transport, ul. Koszykowa 75, 00-662 Warsaw, Poland

Abstract

A fire alarm system (FAS) is a system comprising signalling-alarm devices, which automatically detect and transmit information about fire, but also receivers of fire alarms and receivers for damage signals. Fire alarm systems function in different environmental conditions. During operation they should be in state of fitness. This is determined by the reliability of the assembled units and rational management of the operation process. Therefore a reliability and operational analysis of fire alarm systems as a whole is essential. This article presents an authorial model and an operational and reliability analysis of FAS, which is exploited in a transport building. It also demonstrates relationships occurring in the analysed system, where to an addressable fire alarm central unit with detection loops and control-monitoring loops alarm device lines (with monitored relay outputs for actuation of alarm-signalling devices) were connected. Research and analysis of results for representative FAS, which were exploited in similar environmental conditions, were conducted in order to determine operational and reliability parameters of the investigated system. FAS computer simulation was run during the time t = 1 year of safety system operation. This led to the calculation of the probability value of the analysed FAS staying in the examined operational states.

Keywords: simulation, reliability, modelling, operation, fire alarm systems (FAS)

References(54)

Billinton R, Allan RN (1996). Reliability Evaluation of Power Systems. New York: Plenum Press. https://doi.org/10.1007/978-1-4899-1860-4
DOI
Burdzik R, Konieczny Ł, Figlus T (2013). Concept of on-board comfort vibration monitoring system for vehicles. In: Mikulski J (ed), Activities of Transport Telematics. Heidelberg: Springer. https://doi.org/10.1007/978-3-642-41647-7_51
DOI
Caban D, Walkowiak T (2019). Dependability analysis of hierarchically composed system-of-systems. In: Proceedings of the 13th International Conference on Dependability and Complex Systems. https://doi.org/10.1007/978-3-319-91446-6_12
DOI

Cadena JE, Osorio AF, Torero JL, et al. (2020). Uncertainty-based decision-making in fire safety: Analyzing the alternatives. Journal of Loss Prevention in the Process Industries, 68: 104288.

Ding Q, Peng Z, Liu T, et al. (2014). Building Fire alarm system with multi-sensor and information fusion technology based on D-S evidence theory. In: Proceedings of the International Symposium on Computer, Consumer and Control, Taichung. https://doi.org/10.1109/IS3C.2014.238
DOI

Ding L, Ji J, Khan F, Li X, Wan S (2020). Quantitative fire risk assessment of cotton storage and a criticality analysis of risk control strategies. Fire and Materials, 44: 165–179.

Duer S, Zajkowski K, Płocha I, et al. (2013). Training of an artificial neural network in the diagnostic system of a technical object. Neural Computing and Applications, 22: 1581–1590.

Feo-Arenis S, Westphal B, Dietsch D, et al. (2014). The Wireless Fire Alarm System: Ensuring Conformance to Industrial Standards through Formal Verification. In: Jones C, Pihlajasaari P, Sun J (eds), FM 2014: Formal Methods. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-06410-9_44
DOI

Fonollosa J, Solórzano A, Marco S (2018). Chemical sensor systems and associated algorithms for fire detection: A review. Sensors, 18: 553.

Forell B, Peschke J, Einarsson S, et al. (2016). Technical reliability of active fire protection features – generic database derived from German nuclear power plants. Reliability Engineering & System Safety, 145: 277–286.

Ge Z, Xu G, Chua KH, et al. (2017). Computational fluid dynamics studies on the effectiveness of sidewall sprinklers to suppress the fire at the undercarriage of mass rapid transit train. Building Simulation, 10: 563–571.

Grabski F (2015). Semi-Markov Processes: Applications in System Reliability and Maintenance. Amsterdam: Elsevier. https://doi.org/10.1016/B978-0-12-800518-7.00004-1
DOI
Gunawaardena AE, Ruwanthika RMM, Jayasekara AGBP (2016). Computer vision based fire alarming system. In: Proceedings of Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka. https://doi.org/10.1109/MERCon.2016.7480162
DOI

Idris AM, Rusli R, Burok NA, et al. (2020). Human factors influencing the reliability of fire and gas detection system. Process Safety Progress, 39: e12116.

Jafari MJ, Pouyakian M, Khanteymoori A, et al. (2020). Reliability evaluation of fire alarm systems using dynamic Bayesian networks and fuzzy fault tree analysis. Journal of Loss Prevention in the Process Industries, 67: 104229.

Jee SW, Lee CH, Kim SK, et al. (2014). Development of a traceable fire alarm system based on the conventional fire alarm system. Fire Technology, 50: 805–822.

Jennings M (2020). The oil and gas industry, the competence assessment of Offshore Installation Managers (OIMs) and Control Room Operators (CROs) in emergency response, and the lack of effective assessment of underpinning technical knowledge and understanding. Journal of Loss Prevention in the Process Industries, 65: 104090.

Joglar F (2016). Reliability, availability, and maintainability. In: Hurley M (ed), SFPE Handbook of Fire Protection Engineering. New York: Springer. https://doi.org/10.1007/978-1-4939-2565-0_74
DOI

Kaniewski P, Smagowski P, Konatowski S (2019). Ballistic target tracking with use of cinetheodolites. International Journal of Aerospace Engineering, 2019: 1–13.

Kierzkowski A, Kisiel T (2015). Airport security screeners reliability analysis. In: Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management IEEM, Singapore. https://doi.org/10.1109/IEEM.2015.7385830
DOI

Kierzkowski A, Kisiel T (2017). Simulation model of security control system functioning: A case study of the Wroclaw Airport terminal. Journal of Air Transport Management, 64(B): 173–185.

Klimczak T, Paś J (2019). Reliability and operating analysis of transmission of alarm signals of distributed fire signaling system. Journal of KONBiN, 49: 165–174.

Klimczak T, Paś J (2020). Basics of exploitation of fire alarm systems in transport facilities. Warsaw: Military University of Technology. (in Polish)

Kostrzewski M (2018). Analysis of selected acceleration signals measurements obtained during supervised service conditions— Study of hitherto approach. Journal of Vibroengineering, 20: 1850–1866.

Krzykowski M, Paś J, Rosiński A (2019). Assessment of the level of reliability of power supplies of the objects of critical infrastructure. IOP Conference Series: Earth and Environmental Science, 214: 012018.

Kukulski J, Jacyna M, Gołębiowski P (2019). Finite element method in assessing strength properties of a railway surface and its elements. Symmetry, 11: 1014.

Łabowski M, Kaniewski P (2015). Motion compensation for unmanned aerial vehicle's synthetic aperture radar. In: Proceedings of Signal Processing Symposium (SPSympo), Debe, Poland. https://doi.org/10.1109/SPS.2015.7168304
DOI
Laskowski D, Łubkowski P, Pawlak E, et al. (2015). Anthropotechnical systems reliability. In: Nowakowski T, Młyńczak M, Jodejko- Pietruczuk A, et al. (eds), Safety and Reliability: Methodology and Applications—Proceedings of the European Safety and Reliability Conference ESREL 2014. London: CRC Press/Balkema.
Liu K (2013). An optimization of intelligent fire alarm system for high-rise building based on ANASYS. In: Du Z (ed), Intelligence Computation and Evolutionary Computation. Springer. Berlin: Springer.

Long Z, Yang Y, Liu C, et al. (2021). Study on the optimal operation mode of ventilation system during metro double-island platform fire. Building Simulation, 14: 779–792.

Losurdo F, Dileo I, Siergiejczyk M, et al. (2017). Innovation in the ICT infrastructure as a key factor in enhancing road safety. A multi-sectoral approach. In: Proceedings 25th International Conference on Systems Engineering (ICSEng), Las Vegas, USA. https://doi.org/10.1109/ICSEng.2017.69
DOI

Mahdipour E, Dadkhah C (2014). Automatic fire detection based on soft computing techniques: review from 2000 to 2010. Artificial Intelligence Review, 42: 895–934.

Mao Q, Li N, Peña-Mora F (2019). Quality function deployment- based framework for improving the resilience of critical infrastructure systems. International Journal of Critical Infrastructure Protection, 26: 100304.

Mi Z, Zhang W, Wu X, et al. (2020). Sniffer-Net: quantitative evaluation of smoke in the wild based on spatial–temporal motion spectrum. Neural Computing and Applications, 32: 9165–9180.

Naziris IA, Lagaros ND, Papaioannou K (2016). Optimized fire protection of cultural heritage structures based on the analytic hierarchy process. Journal of Building Engineering, 8: 292–304.

Østrem L, Sommer M (2021). Inherent fire safety engineering in complex road tunnels – Learning between industries in safety management. Safety Science, 134: 105062.

Paś J (2016). Shock a disposable time in electronic security systems. Journal of KONBiN, 38: 5–32.

Paś J, Rosiński A, Wiśnios M, et al. (2018). Electronic security systems. Introduction to the laboratory. Warsaw: Military University of Technology. (in Polish)

Paś J, Klimczak T (2019). Selected issues of the reliability and operational assessment of a fire alarm system. Eksploatacja i Niezawodnosc—Maintenance and Reliability, 21: 553–561.

Paś J, Rosiński A, Szulim M, et al. (2020). Modelling the Safety Levels of ICT Equipment Exposed to Strong Electromagnetic Pulses. In: Proceedings of the 14th International Conference on Dependability and Computer Systems.
Ministry of the Interior and Administration of Poland (2010). Regulation of Ministry of the Interior and Administration of Poland (MSWiA) of 7 June 2010 (Journal of Laws of the Republic of Poland No. 109, item 719) concerning fire protection of buildings and other facilities and grounds. (in Polish)
Rosiński A, Paś J, Łukasiak J, et al. (2019). Exploitation of electronic systems in building objects exposed to impact of strong electromagnetic pulses. In: Proceedings of the 29th European Safety and Reliability Conference (ESREL), Singapore. https://doi.org/10.3850/978-981-11-2724-3_0354-cd
DOI

Sharma A, Singh PK, Kumar Y (2020). An integrated fire detection system using IoT and image processing technique for smart cities. Sustainable Cities and Society, 61: 102332.

Siergiejczyk M, Krzykowska K (2014). Some issues of data quality analysis of automatic surveillance at the airport. Diagnostyka, 15: 25–29.

Siergiejczyk M, Krzykowska K, Rosiński A (2015). Reliability assessment of integrated airport surface surveillance system. In: Proceedings of the 10th International Conference on Dependability and Complex Systems. https://doi.org/10.1007/978-3-319-19216-1_41
DOI
Siergiejczyk M, Paś J, Dudek E (2017). Reliability analysis of aerodrome's electronic security systems taking into account electromagnetic interferences. In: Walls L, Revie M, Bedford T (eds), Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016. London: CRC Press/Balkema. https://doi.org/10.1201/9781315210469-287
DOI
Stawowy M, Perlicki K, Sumiła M (2017). Comparison of uncertainty multilevel models to ensure ITS services. In: Cepin M, Radim B (eds), Safety and Reliability—Theory and Applications: Proceedings of ESREL 2017. London: CRC Press/Balkema. https://doi.org/10.1201/9781315210469-336
DOI
Stawowy M, Siergiejczyk M (2017). Application and simulations of uncertainty multilevel models to ensure the ITS services. In: Walls L, Revie M, Bedford T (eds), Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016. London: CRC Press/Balkema. https://doi.org/10.1201/9781315374987-91
DOI

Urbancokova H, Valouch J, Adamek M (2015). Testing of an intrusion and hold-up systems for electromagnetic susceptibility—EFT/B. International Journal of Circuits, Systems and Signal Processing, 9: 40-46.

Verma AK, Srividya A, Karanki DR (2017). Reliability and Safety Engineering. London: Springer. https://doi.org/10.1007/978-1-4471-6269-8
DOI
Vijayalakshmi SR, Muruganand S (2017). Smoke detection in video images using background subtraction method for early fire alarm system. In: Proceedings of the 2nd International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India. https://doi.org/10.1109/CESYS.2017.8321258
DOI

Wang J, Yan W, Xu H, et al. (2018). Investigation of the probability of a safe evacuation to succeed in subway fire emergencies based on Bayesian theory. KSCE Journal of Civil Engineering, 22: 877–886.

Wu H, Wu D, Zhao J (2019). An intelligent fire detection approach through cameras based on computer vision methods. Process Safety and Environmental Protection, 127: 245–256.

Xie Y, Peng M (2019). Forest fire forecasting using ensemble learning approaches. Neural Computing and Applications, 31: 4541–4550.

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Publication history

Received: 28 December 2020
Revised: 18 February 2021
Accepted: 03 March 2021
Published: 28 May 2021
Issue date: April 2022

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