基于光谱吸收的光纤水分传感器研究

Research of optical fiber H_2O sensor based onabsorption spectroscopy

基于分子的近红外光谱吸收机理,研究一种可以检测水分含量的光纤传感器。对半导体激光器(LD)进行正弦波调制,建立人工神经网络的数学模型,利用NI数据采集卡和神经网络数据拟合实现分子的检测。系统采用双光路结构有效消除了光源光强噪声干扰和光电器件的零点漂移。实验结果表明:传感器性能稳定,灵敏度高,重复性好,并且不受其它气体或杂质的干扰。

Based on the mechanism of near infrared spectral absorption of molecules,an optical fiber sensor for the water content monitoring is studied.Load the semiconductor laser LD with sinusoidal wave,establish a mathematical model of artificial neural network,and use NI data acquisition card and neural network data fitting for the detection of molecules.By using the structure of double optical path it can eliminate noise interference caused by the light intension of light source,and zero shift of photoelectric device.The experimental results indicate that this sensor has steady performance,high sensitivity,good repeatability,and it does not suffer from other gases and impurities interferences.