Design and Analysis of Data Processing Algorithm for Fluorescent Optical Fiber Temperature Sensor

Abstract

In the field of medical microwave hyperthermia, if the detection of the heating temperature is inaccurate, it will seriously endanger the health of patients. However, the active temperature sensor is severely affected by external electromagnetic interference, and the temperature measurement accuracy cannot reach the desired effect. Therefore, the fluorescent optical fiber temperature sensor has been widely used in the above mentioned complicated fields due to its insulation characteristics. In order to further improve the detection accuracy of the fluorescent fiber temperature sensor, the algorithm for extracting the fluorescence lifetime is a key part of the system to improve the accuracy. In this paper, the accuracy of the fluorescence lifetime extracted by the integral area ratio algorithm, FFT algorithm, and least squares fitting algorithm is verified by simulation and experiments. According to the simulation results, the FFT algorithm and the integral area ratio algorithm are completely unaffected by the DC bias of the system, and the least squares fitting algorithm is more sensitive to the DC bias of the system. Compared with the integral area ratio algorithm and the least squares fitting algorithm, the absolute errors of the fluorescence lifetime extracted by the FFT algorithm are reduced by 31% and 45%, respectively. In addition, the running time of the three data processing algorithms was also tested. The test results show that the processing time of the integral area ratio algorithm is reduced by about 99.55% and 93% respectively compared with the least squares fitting algorithm and the FFT algorithm. In summary, the simulation and experimental test results in this paper can provide an important reference for the data processing implementation of fluorescent optical fiber temperature sensors.