The photoacoustic sensor system based on Sagnac interference has extensive applications in perimeter security. Among them, the demand for synchronization recognition of multiple acoustic sources and integrated utilization becomes the key to expand its application field. By focusing on multi-source synchronization recognition, a lightweight optical-acoustic signal recognition algorithm that can be carried by an embedded system was studied. The collected optical-acoustic signals were extracted through preprocessing, Fast Fourier Transform (FFT), Mel filter bank (MFB), and other steps to obtain Mel spectrogram features, which were then used for optical-acoustic signal recognition using the MobilenetV3 network. The experimental results showed that this system achieved a synchronization recognition rate of 93% for six types of sounds, providing a possibility for implementing multi-sound recognition in embedded systems based on Sagnac interference photoacoustic sensor systems.
Fiber optic acoustic sensing system based on Sagnac interference is widely used in the field of perimeter security. However, the sensitivity of acoustic response varies drastically with frequency, which has become a bottleneck limiting the development of Sagnac photoacoustic sensing technology. An elastic structure is proposed to improve the sensitivity consistency of the photoacoustic sensing system based on Sagnac interference at different frequencies. The elastic structure of optical fiber pickup was optimized by finite element analysis, Solidworks and Comsol. Simulation results show that the designed titanium alloy-based elastomeric structure with a diameter of 110 mm, a height of 100 mm, and an elastomer wall thickness of 3 mm has significantly improved the consistency of the sensitivity of the acoustic response at different frequencies. This work provides a possibility for the application scenario expansion of photoacoustic sensing system based on Sagnac interference.
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