环境温度对红外测温精度的影响及补偿方法研究

Study on Influence of Ambient Temperature on the Accuracy of Infrared Temperature Measurement and Compensation Methods

摘要:

针对在线式红外测温仪的测温精度易受环境温度影响,导致测温误差增大的问题,提出一种基于环境温度的红外测温补偿方法,以减少测温误差。首先根据红外测温原理,搭建了红外测温实验平台,获取了不同环境温度下的测温数据；然后利用最小二乘法原理对提取的测温误差均值进行误差-环境温度的曲线拟合,得到了红外测温补偿模型；最后对其进行了实验验证。实验结果表明,使用该补偿模型对红外测温数据进行补偿,得到的红外测温值与真实目标温度值的最大相对误差为0.29%,说明提出的补偿方法降低了环境温度对红外测温的影响,有效提高了红外测温精度。

Abstract:

Aiming at the problem that the temperature measurement accuracy of the online infrared thermometer is easily affected by the environmental temperature, which causes big measurement error, an infrared temperature measurement compensation method based on the environmental temperature is proposed to improve the measurement accuracy. First, based on the principle of infrared temperature measurement, an infrared temperature measurement experiment platform was built, and temperature measurement data under different ambient temperatures were obtained. Then, using the principle of least square method to fit the extracted mean value of temperature measurement error to the curve of error-ambient temperature, the infrared temperature measurement compensation model was obtained. Finally, experiments were carried out to verify. The results show that using the compensation model to compensate the infrared temperature measurement data, the maximum relative error between the infrared temperature measurement value and the true temperature value of the measured target is 0.29%. It shows that the compensation method effectively reduces the measurement error of the infrared temperature measurement system caused by environmental temperature changes, and improves the measurement accuracy.