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The using of deep neural networks and natural mechanisms of acoustic wave propagation for extinguishing flames
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2022
Year
AeroacousticsNatural MechanismsEngineeringFlame DetectionFire DetectionAcoustic SensorRecurrent Neural NetworkAcoustic ModelingSpeech RecognitionAcoustic Signal ProcessingAcoustic Wave PropagationFire SafetyInnovative MethodUltrasoundDeep LearningDeep Neural NetworkDeep Neural NetworksSpeech ProcessingActive Fire Protection
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.