Title: High-power acoustic fire extinguisher with artificial intelligence platform

Authors: Jacek Wilk-Jakubowski; Paweł Stawczyk; Stefan Ivanov; Stanko Stankov

Addresses: Department of Information Systems, Kielce University of Technology, 7 Tysiąclecia Państwa Polskiego, Ave., 25-314 Kielce, Poland ' Department of Industrial Electrical Engineering, Kielce University of Technology, 7 Tysiąclecia Państwa Polskiego. Ave., 25-314 Kielce, Poland ' Department of Automation, Information and Control Systems, Technical University of Gabrovo, 4, H. Dimitar, Gabrovo, 5300, Bulgaria ' Department of Automation, Information and Control Systems, Technical University of Gabrovo, 4, H. Dimitar, Gabrovo, 5300, Bulgaria

Abstract: Nowadays, innovative flame extinguishing techniques are still being sought that do not threaten the environment and do not damage the extinguished elements. One of them seems to be the acoustic method. Research is being conducted in Europe, Americas, and Asia into the possibility of using acoustic waves to extinguish flames. This article presents the original measurement results showing the extinguishing possibilities with a sinusoidal waveform and sinusoidal waveform modulated with a square waveform for the three analysed frequencies (15 Hz, 17 Hz and 20 Hz). A high-powered acoustic extinguisher was applied to extinguish the flames. Such a fire extinguisher may be equipped with an artificial intelligence module. Deep neural networks (DNN) were used for flame detection. Results from the training networks were described, as well as the hardware architecture employed. Such an intelligent module, which allows an acoustic extinguisher to be automatically activated when flames are detected, is particularly useful when traditional sensors are not available.

Keywords: acoustic extinguisher; acoustic wave fire suppression; deep neural network; DNN; fire detection; fire retardation; intelligent sensor.

DOI: 10.1504/IJCVR.2022.122580

International Journal of Computational Vision and Robotics, 2022 Vol.12 No.3, pp.236 - 249

Received: 19 Oct 2020
Accepted: 06 Apr 2021

Published online: 11 Mar 2022 *

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