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距离和雾对红外测温精度影响的补偿研究OA北大核心CSTPCD

Influence of Distance and Fog on Infrared Temperature Measurement Accuracy

中文摘要英文摘要

为提高在线式红外热像仪在大雾天气下的测温精度,研究了距离、相对湿度和雾对红外热像仪测温精度的影响.采用二次开发的热红外故障数据采集系统,搭建实验平台,分别进行单因素和多因素干扰下的测温实验.得到距离-误差温度的分段多项式拟合关系;基于暗通道先验理论,实现对雾的定量描述,得到透射率-误差温度的指数函数拟合关系;以代数和的方式,提出一种误差补偿模型来补偿距离和雾共同作用产生的测量误差.实验结果表明,该模型能显著提高热像仪测温精度,对在线式红外热像仪在大雾环境下进行长时间精确温度数据的采集与存储,构建设备故障数据特征库具有重要意义.

To improve the temperature measurement accuracy of online infrared thermal imagers in foggy weather,the effects of distance,relative humidity,and fog on temperature measurement accuracy of infrared thermal imagers were studied.A secondary thermal infrared fault data acquisition system was used to build an experimental platform for temperature measurement experiments under single-and multi-factor interference,thereby obtaining a piecewise polynomial fitting relationship between distance and error temperature.Based on the prior theory of dark channel,the quantitative description of fog was realized,and the exponential function fitting relationship between transmittance and error temperature was obtained.By way of algebraic sum,an error compensation model was proposed to compensate the measurement error caused by the interaction of distance and fog.Experimental results show that this model can significantly improve the temperature measurement accuracy of thermal imagers.For an online infrared thermal imager,collecting and storing temperature data for a long time in foggy environments are of great significance in building an equipment fault data feature database.

何振鹏;魏星;黎柏春;闫方超;胡艺馨;刘勇;王智

中国民航大学 航空工程学院,天津 300300天津布尔科技有限公司,天津 300392

电子信息工程

红外热像仪误差补偿测温精度暗通道先验

infrared thermal imagererror compensationtemperature measurement accuracydark channel prior

《红外技术》 2024 (006)

681-690 / 10

天津市教委科研计划项目(2020KJ015).

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