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通过对传统的红外热像仪测温采用拟合曲线及单向查表的算法分析,针对测温精度低,并且在不同环境温度下温度整体偏移等缺点,提出了一种双向查找表的测温算法。依据普朗克定律,利用标准面源黑体对热像仪进行标定,定标出温度查找表和环境温度补偿表,并且将两个定标表格存入测温系统存储器中。对目标物体进行温度测量时,根据目标物体的热像图灰度值和热像仪热电偶反馈的当前环境温度值,计算出目标物体的温度值和环境温度补偿值,利用环境温度补偿值对目标物体进行测温误差补偿,能够准确地测量出当前环境下的目标物体实际温度。实测结果表明,该方法测温精度可达到0.5℃,并且在不同测温环境温度下温度测量值稳定性较好。
Through the analysis of the traditional infrared camera temperature measurement using fitting curves and one-way look-up table, aiming at the disadvantages of low accuracy of temperature measurement and overall temperature shift under different ambient temperatures, a bidirectional look-up table Temperature calculation algorithm. According to Planck’s law, the thermal imager is calibrated using a standard faceted blackbody, the temperature look-up table and the ambient temperature compensation table are calibrated, and two calibration tables are stored in the temperature measurement system memory. When the temperature of the target object is measured, the temperature value of the target object and the ambient temperature compensation value are calculated according to the gray value of the thermal image of the target object and the current ambient temperature value fed back by the thermocouple of the thermal imager, and the ambient temperature compensation value The target temperature error compensation, can accurately measure the current environment of the actual temperature of the target object. The measured results show that the temperature measurement accuracy of the method can reach 0.5 ℃, and the temperature measurement stability is better under different temperature conditions.