2022
DOI: 10.3390/en15020522
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Adaptation of Fire-Fighting Systems to Localization of Fires in the Premises: Review

Abstract: Fire protection is a basic safety issue for all categories of buildings. The criteria for effective fire suppression and the characteristics of extinguishing systems in insulated areas depend on a combination of factors. The main influences include the type of combustible material, ambient temperature, type of spray extinguisher, air inflow and outflow conditions, and space geometry. This article analyzes the most widely used fire-extinguishing technologies in different locations. The main aspects of using the… Show more

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Cited by 11 publications
(9 citation statements)
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References 69 publications
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“…According to a decade of statistics, about 70% of urban fires burn within 60 min [ 52 ]. With the advancement of communication technology, alarm speed and intelligent firefighting technology, the fire duration has been effectively reduced [ 53 ]. Therefore, taking into account the actual situation, the duration of the test fire was chosen as 60 min.…”
Section: Experimental Programmentioning
confidence: 99%
“…According to a decade of statistics, about 70% of urban fires burn within 60 min [ 52 ]. With the advancement of communication technology, alarm speed and intelligent firefighting technology, the fire duration has been effectively reduced [ 53 ]. Therefore, taking into account the actual situation, the duration of the test fire was chosen as 60 min.…”
Section: Experimental Programmentioning
confidence: 99%
“…There are some similarities between the busway overheating fault warning study and fire warning study. Over the last decade, many early fire warning technologies have been studied (Fonollosa et al, 2018;Khan et al, 2022;Kuznetsov et al, 2022). Various elements such as image (including the inferred image), temperature, smoke, heat, and gases (CO, CO 2 , etc.)…”
Section: Introductionmentioning
confidence: 99%
“…With the development of modern sensor technology, especially the application of high-sensitivity gas sensors in fire alarm systems, we can reduce the false alarms caused by other signal interference and get better accuracy than before. In these fire early warning systems, some machine learning algorithms are used such as Bayesian estimation (Chen and Fu, 2012), Fuzzy theory (Sarwar et al, 2018), Kalman filter (Lin and Wang, 2017), neural network, and deep learning (Kuznetsov et al, 2022) (Luo et al, 2019;Nakip et al, 2021;Wu et al, 2021;Dai et al, 2022;Kewon et al, 2022;Li et al, 2022). Chen and Fu (2012) elaborated the logic relationship between the fire alarm and the physical-chemical characteristics generated in the process of fire burning and used the Bayesian network (BN) to analyze fire alarm systems.…”
Section: Introductionmentioning
confidence: 99%
“…The study by [4] examines the most prevalent fire-extinguishing technologies used in various locations. In this study, the pulsed delivery technology for extinguishing liquid is utilized.…”
Section: Introductionmentioning
confidence: 99%