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The article is a continuation of a previously published paper, which, based on an analysis of available global literature, provides an overview of firefighting operational models. It outlines the concept of a stochastic model, which was implemented in the Aamks software to assess the fire risk of buildings, developed several years ago and systematically further expanded at the Fire University. It consists of four main time modules: the time of notifying about a fire, the time from receiving information about an incident until the moment of dispatch, the time of arriving at the scene of the incident and the time from the moment of arrival to the moment of starting firefighting activities. Their majority were determined in a probabilistic way, while some of them, such as the fire monitoring notification system and selected elements of the final stage, were assessed in a deterministic way. The paper discusses methods of their estimation, particularly in terms of the used data. The developed model consists of two main action phases, each subdivided into smaller stages, the sum of which gives the time taken to undertake extinguishing actions. This time is presented as a probability distribution. The first phase, i.e. the notification of the incident, is variable and depends on the equipment of the building with detection devices. As a result of the variability of the first phase of action, three different but invariable paths have been identified. The results in the form of extinguishing action times, along with the probabilities for each variant, are presented in three result tables at the end of the article.
Wydawca
Rocznik
Tom
Strony
107--131
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
- Fire University
autor
- Fire University
Bibliografia
- 1. Abakus IT Systems, (2009). SWD-ST computer program manual, Bielsko-Biała, Poland. https://silo.tips/download/instrukcja-administratora-systemu-swd-st-dla-wersji-systemu-124xy
- 2. Claridge, Ed., (2010). Assessment and Validation of the Fire Brigade Intervention Model for use within New Zealand and Performance-Based Fire Engineering. Fire Engineering Research Report 10/4. Department of Civil Engineering University of Canterbury Private Bag 4800, Christchurch, New Zealand.
- 3. Klimek, S., (2002). Możliwości organizowania i prowadzenia działań ratowniczogaśniczych podczas pożarów w wybranych budynkach wysokich w rejonie operacyjnym ZRG SGSP [Possibilities of organizing and conducting rescue and fire-fighting operations during fires in selected high-rise buildings in the operational area of ZRG SGSP]. Warsaw: SGSP. (in Polish)
- 4. Kling T., Hostikka S., Rinne T., Vaari J., Hakkarainen T., (2013). Stochastic operation time modelling of rescue situation. INTERFLAM, VTT Technical Research Centre of Finland.
- 5. Kolesar, P., (1975). A Model for Predicting Average Fire Engine Travel Times. Operations Research, 23(4), pp. 603–613.
- 6. Krasuski, A., (2019). Multisimulation: Stochastic simulations for the assessment of building fire safety. Warsaw: SGSP.
- 7. Krasuski, A., Kreński, K., (2014). Decision Support System for Blockage Management in Fire Service. Studies in Logic, Grammar and Rhetoric, 37.
- 8. Kuziora, Ł., Gałaj, J., (2023). Review fire brigade extinguishment models as part of a building fire risk assessment. Zeszyty Naukowe SGSP, vol. 88(1), 113–133. DOI:10.5604/01.3001.0054.1452
- 9. Order No. 10 of the Commander-in-Chief of the State Fire Service of December 28, 2017 on the method of carrying out inspections of the operational readiness of entities of the national rescue and fire-fighting system. (in Polish)
- 10. Prońko, J., Zboina, J., Kielin, J., Wojtasiak, D., Iwańska, M., (2019). Modelowanie statystyczne reakcji służb ratowniczych [Statistical modeling of emergency services responses]. Safety & Fire Technology, 53, pp. 8–31. (in Polish)
- 11. Regulation of the Minister of Interior and Administration of July 3, 2017 on the detailed organization of the national rescue and fire-fighting system (Polish Journal of Laws/Dz.U. of 2017, item 1319). (in Polish)
- 12. Ridder A., Barth U., (2014). From prescriptive arrival times to performance based fire service delivery – Parallels of Fire Service Planning and Fire Engineering. University of Wuppertal.
- 13. Runefos, M., (2019). Measuring the Capabilities of the Swedish Fire Service to Save Lives in Residential Fires, Division of Fire Safety Engineering. Lund University.
- 14. Tillander, K., (2004). Utilisation of statistics to assess fire risks in buildings. Helsinki, Finland, VTT Building and Transport, Dissertation for the degree of Doctor of science in Technology. https://www.vttresearch.com/sites/default/files/pdf/publications/2004/P537.pdf
- 15. Tutaj, W., (2019). Probabilistyczny model interwencji straży pożarnej podczas pożarów obiektów budowlanych [Probabilistic model of fire brigade intervention during building fires], Master Thesis. Warsaw: SGSP. (in Polish)
- 16. Vaari J., Kling T., Hostikka S., Rinne T., Ketola J., (2013). Simulating the rescue service response in a railway tanker fire. Interscience Communications, London, pp. 1359-1369, 13th International Fire Science & Engineering Conference, INTERFLAM 2013, London, United Kingdom, 24/06/13
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e8134df6-488f-4eb9-8fbb-3e6a61394b70
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