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利用非制冷红外热像仪测量人体表面温度场,除具有快速、非接触和量程短等特点外,还对测温精度有较高要求。针对非制冷微测辐射热计热像仪测量精度受环境、机芯温度影响较大的问题,提出一种对热像仪使用温度与标定温度之差引起的测量误差进行修正的方法。即对分别测得的环境温度、机芯温度和灰度两组数据,由支持向量机拟合得到环境温度和机芯温度误差修正模型;实际测量时,分别由热电偶和置于热像仪中的传感器测得环境温度和机芯温度后,根据误差修正模型对环境和机芯温度变化引起的热像仪测量误差进行修正,获得较为准确的人体表面温度场数据。实验结果表明:该修正方法,与经标定的高精度热电偶测温相比,可使测量距离2 m时的测温误差减小50%。
The use of uncooled infrared camera temperature measurement of human body surface, in addition to a fast, non-contact and short range characteristics, but also on the temperature measurement accuracy requirements. Aiming at the problem that the measuring accuracy of uncooled microbolometer is greatly affected by the environment and movement temperature, a method of correcting the measurement error caused by the difference between the temperature of the imager and the calibration temperature is proposed. That is, the environmental temperature and movement temperature error correction model are obtained by fitting the support vector machine with the two sets of data respectively measured ambient temperature, movement temperature and grayscale; when the actual measurement is performed, the thermocouple and the thermocouple After the sensor measured the ambient temperature and the movement temperature, according to the error correction model, the error of the thermal imager measurement error caused by the change of environment and movement temperature was corrected, and the more accurate temperature data of human body surface was obtained. The experimental results show that the correction method can reduce the error of measuring temperature by 50% when the measuring distance is 2 m compared with the temperature measurement of the calibrated high precision thermocouple.