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光纤传感器对静态绝对量和动态相对量同时测量在很多场合都有应用需求,这就要求传感系统兼具大动态范围和高精度的特点。采用基于快速光谱获取的白光非本征法珀干涉(EFPI)传感系统,可满足静态信号大动态范围和绝对测量需求,同时可快速响应动态信号。将zoom-FFT算法用于传感器的腔长解调,提高了信号的解调精度,实验测得精度达4 nm。由于zoom-FFT法运算量小,在算法上可满足动态测量对解调速度的需求。在0~30 cm深度内对传感器进行了标定,传感器对静压力的响应具有较好的线性特性,计算得到液位分辨率为0.13 mm。利用液位信号和声信号频率的差别,实现了单传感器对液位深度和声信号的同时测量,验证了此系统在对静态绝对量和动态相对量同时传感方面具有应用潜力。
Optical fiber sensors on the absolute amount of static and dynamic relative amount of simultaneous measurement has applications in many occasions, which requires the sensor system combines the characteristics of large dynamic range and high accuracy. The white light extrinsic Fabry-Perot interference (EFPI) sensing system based on fast spectral acquisition meets the dynamic range and absolute measurement requirements of static signals and simultaneously responds quickly to dynamic signals. The zoom-FFT algorithm is used to demodulate the cavity length of the sensor and improve the demodulation accuracy of the signal. The experimentally measured accuracy reaches 4 nm. Due to the small amount of zoom-FFT algorithm, the algorithm can meet the demand of dynamic measurement for demodulation speed. The sensor was calibrated at a depth of 0-30 cm. The response of the sensor to the static pressure showed good linearity. The calculated liquid level resolution was 0.13 mm. By using the difference between the liquid level signal and the acoustic signal frequency, the simultaneous measurement of the liquid level depth and the acoustic signal by a single sensor is realized, which proves that the system has potential application in the simultaneous sensing of static absolute amount and dynamic relative amount.