Intelligent optical fiber distributed acoustic wave sensing system based on AI chip and method
A technology of acoustic wave sensing and intelligent optical fiber, applied in neural learning methods, measuring ultrasonic/sonic/infrasonic waves, using wave/particle radiation, etc., can solve problems such as weak signal pattern recognition, and achieve the effect of improving signal-to-noise ratio
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Embodiment 1
[0033] This embodiment provides an intelligent optical fiber distributed acoustic wave sensing system based on an AI chip, such as figure 1 As shown, the system specifically includes a light source, a modulation unit, an amplification unit, a drive unit, an optical fiber sensing unit, a data acquisition unit, a data processing unit, a photoelectric conversion unit and an alarm unit 210 .
[0034] In this embodiment, the data processing unit is specifically an artificial intelligence chip 209, the optical fiber sensing unit includes a circulator 205 and a sensing fiber 206, the circulator 205 is used to ensure the unidirectional transmission direction of the light source, and the signal amplifying unit is specifically an EDFA doped with erbium For the optical fiber amplifier, the modulation unit is specifically the modulator 202 , the driving unit is specifically the signal driver 203 , and the data collection unit is specifically the acquisition card 208 .
[0035] Further, th...
Embodiment 2
[0044] This embodiment has the same inventive concept as Embodiment 1. On the basis of Embodiment 1, a signal classification method of an intelligent optical fiber distributed acoustic wave sensing system based on an AI chip is provided, such as figure 2 As shown, the methods specifically include:
[0045] S01: Establish a signal type database based on known acoustic wave signals, that is, the data processing unit performs learning and training on a large number of known acoustic wave sensing signal data sets input in advance, extracts standard amplitude-frequency feature information of known acoustic wave sensing signals, and A signal type database is established based on the frequency feature information, and the signal type database records the ranges of amplitude-frequency feature values corresponding to various acoustic wave signal types. Wherein, the signal types include but not limited to intrusion signals and natural disaster signals.
[0046] S02: Extract the ampl...
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