红外热像仪高精度测温标定技术

红外热像仪能够监测目标温度从而起到事故预警与位置确认、大规模人体表面温度筛查等作用。由于环境温度变化与红外辐射吸收产生的温度漂移现象，目前大部分测温红外热像仪需要采用黑体进行实时校正，但是基于黑体的红外热像仪架设场景固定，便携性差。针对以上问题提出了一种无黑体式红外热像仪测温标定和温度补偿技术，通过对红外测温原理进行推导，采用多黑体标定获得目标温度与辐射量的先验关系，针对探测器内部结构引起温度漂移，由牛顿冷却定律进行非线性建模实现实时温度补偿。通过实验验证，所提出的测温标定技术可将测温平均相对误差长时稳定保持在0.9%以内，相比于标定前平均相对误差有效降低64%，从而实现小型化红外热像仪便携、实时、稳定高精度测温。

High-precision temperature measurement and calibration technology of infrared thermal imager

The infrared thermal imager can monitor the target temperature, which plays the role of accident warning and location confirmation, large-scale human temperature screening and so on. Due to the temperature drift caused by the change of ambient temperature and infrared radiation absorption, most of the infrared thermal imagers for temperature measurement need blackbody for real-time calibration, but the blackbody-based infrared thermal imagers are limited by the fixed scene and poor portability. To solve this problem, a temperature calibration and compensation method without blackbody was proposed. By deducing the principle of infrared temperature measurement, the prior relation between target temperature and radiation quantity was obtained with multiple blackbodies calibration, and for addressing temperature drift caused by the internal structure of the detector, the temperature compensation was realized by non-linear modeling based on Newton's cooling law. The experimental results show that the proposed methods have the long-term stability to keep the relative error of temperature measurement within 0.9%, reduce the average relative error by 64%, and realize the portable, real-time, stable and high-precision temperature measurement of miniaturized infrared thermal imager.