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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.

The article presents an innovative method of flame extinguishing with a high-power acoustic extinguisher, which is equipped with a deep neural network (DNN) flame detection module. Experimental results of flame detection with the use of the DNN networks are presented, and then their extinguishing with the use of sinusoidal waves modulated by triangular waveform, as well as with triangular waves without modulation. The article provides a justification for the approach taken, as well as information on the parameters of the signals used and hardware components. The results are discussed taking into account the power supplied to the loudspeaker and the influence of sound pressure on flame extinguishing as a function of a distance from the extinguisher output. The article concludes with a short summary, in which the benefits and potential application of the technology were indicated.