针对光纤Bragg光栅（FBG）温度传感器的溯源性标定问题,研发了一套光纤温度传感仪表智能检测平台,对FBG传感器进行在线校准。检测平台同步分析传感器标定过程中波长变化量及量值转换后物理参量变化量,并利用最小二乘法拟合得出传感器静态标定指标。通过对标定过程中不确定度的分析,将标定结果溯源到国家基准。实验结果表明,通过光纤温度传感仪表智能检测平台标定得到的FBG温度传感器的灵敏度为9.824×10-3nm/℃,线性度为99.91%,校准装置的测量不确定度为0.1℃。

With the aim of calibration traceability issues about fiber Bragg grating (FBG) temperature sensor,a fiber optic temperature sensing instrument intelligent testing platform is researched for online FBG sensor calibration. Detection platform simultaneously analyzes the variation of wavelength and physical parameters variation in the magnitude of the converted in the sensor calibration process and fitting sensor static calibration targets obtained using least square method. The results of calibration are able to be traced to national benchmarks,through the uncertainty analysis in calibration process. The results show that the sensitivity of FBG temperature sensor is 9.824×10-3nm/℃,the linearity is 99.91%,the measurement uncertainty of the calibration device is 0.1 ℃ demarcated by optical fiber temperature sensing intelligent testing platform.