Please use this identifier to cite or link to this item: http://repositsc.nuczu.edu.ua/handle/123456789/15307
Title: The Use of Acoustic Effects for the Prevention and Elimination of Fires as an Element of Modern Environmental Technologies
Authors: Стрілець, Віктор Маркович
Valentyna LOBOICHENKO1, Jacek WILK-JAKUBOWSKI2*, Grzegorz WILK-JAKUBOWSKI3, Radosław HARABIN4, Roman SHEVCHENKO5, Victor STRELETS6, Alexander LEVTEROV7, Alexander SOSHINSKIY8, Nataliia TREGUB9, Oleksii ANTOSHKIN10
Keywords: Acoustics; deep neural network; environmental technology; f ire; pollutio
Issue Date: 2022
Publisher: Environmental and Climate Technologies
Citation: Environmental and Climate Technologies
Series/Report no.: 2022, vol. 26, no. 1, pp. 319–330;doi.org/10.2478/rtuect-2022-0024
Abstract: The paper studies the current state of the art in the use of acoustic effects in the prevention and elimination of fires. For this purpose, the literature review method was applied. The well-known approaches to fire extinguishing and their impact on the environment are considered. Multifaceted studies by a wide range of scientists on the possibilities of the acoustic effect in fire extinguishing are noted. The analysis of literary sources showed the negative impact of both the fires themselves and the majority of fire extinguishing agents on the environment. Variants of the use of the acoustic effect for the prevention and elimination of fires of various combustible substances are considered. The influence of the frequency of acoustic waves, scanning speed, power, and other acoustic parameters on flame extinguishing is noted. The possibilities of using a deep neural network for flame detection have been studied. The limitations and advantages of acoustic technology and further prospects for its development as an element of environmental technologies are shown.
URI: http://repositsc.nuczu.edu.ua/handle/123456789/15307
ISSN: 2255-8837
Appears in Collections:Статті

Files in This Item:
File Description SizeFormat 
Environmental and Climate Technologies, vol.26, no.1, 2022, pp.319-330.docx10,72 kBMicrosoft Word XMLView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.