The invention relates to the field of
optical fiber sensing and the field of
deep learning, in particular to an air drum structure and a low-frequency acoustic
signal detection device and method based on the air drum structure, which combine the advantages of an F-P cavity formed by double-
fiber Bragg gratings, a conical
fiber and the air drum structure and fully play the advantages of simple structure, high sensitivity, easy
multiplexing and the like of the optical F-P cavity. Round diaphragms with different areas and different corresponding resonant frequencies are prepared by considering the characteristic that the
fiber Bragg
grating only reflects specific
wavelength and the natural high sensitivity characteristic of the conical fiber and combining the narrow-band filtering
advantage of the round diaphragms, so that the empty drum structure detects sound
waves with different frequencies, and the detection accuracy is improved. The frequency of the external
sound wave can be directly obtained without additional
Fourier transform and filtering operation, and intelligent autonomous identification of the target sound
signal is realized; compared with a traditional low-
frequency sound signal sensing system, the
system is more sensitive, compact and efficient, and has the advantages of narrow-band filtering, real-
time spectrum extraction, autonomous target recognition and the like.