Accuracy Compensation Method for Infrared Human Body Temperature Measurement Accuracy
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摘要: 针对现有人体测温方案测量精度低,使用条件受限等问题,研究了基于红外热成像的无接触人体测温精度补偿方法。综合考虑测温器件,测温环境对测量精度的影响,为解决常规测量方法存在的红外相机输出值随时间发生漂移,红外相机存在周期性斩波信号,温度测量距离不断变化,温度输出值存在频域噪声等多种问题,提出了综合性的温度测量精度补偿方法,有效降低了温度测量的误差。实验表明,通过本文的精度补偿方法,在不同距离下的人体温度测量误差不超过±0.2℃,可以实现人体温度的精确测量。Abstract: To address the problems of low measurement accuracy and limited use conditions of existing human body temperature measurement schemes, a non-contact human body temperature measurement accuracy compensation method based on infrared thermal imaging is studied. Considering the influence of temperature measurement devices and environments on the measurement accuracies, we need to solve the problems of infrared camera output values drifting with time, periodic signal chopping of an infrared camera, constant change in temperature measurement distance, and frequency domain noise of the temperature output value. To solve these problems, a comprehensive temperature measurement accuracy compensation method is proposed to effectively reduce the temperature measurement error. The experiment showed that the errors in human body temperature measurement under different distances were less than 0.2℃ using the precision compensation method in this study, which can realize accurate human body temperature measurement.
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Key words:
- infrared thermal imaging /
- human body temperature /
- error compensation
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表 1 中国成年人面宽和形态面长统计表
Table 1. Statistical table of face width and shape length of Chinese adults
Gender Facial width/mm Morphological facial length/mm mean std mean std Male 109 5.69 143 3.90 Female 119 6.55 136 3.71 表 2 不同距离下的补偿值及其方差
Table 2. Compensation values and variances under different distances
Measuring distance/m Mean compensation value/℃ Mean compensation variance 1.0 1.659 0.072 1.2 2.036 0.063 1.4 2.227 0.053 1.6 2.244 0.120 1.8 2.295 0.117 2.0 2.399 0.131 2.2 2.585 0.148 -
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