红外阵列成像精确测温及温度补偿  

Infrared array imaging for precise temperature measurement and temperature compensation

作　　者：李云红[1] 曹彬 苏雪平 陈锦妮[1] 李丽敏[1] 张刚 朱耀麟[1] LI Yunhong;CAO Bin;SU Xueping;CHEN Jinni;LI Limin;ZHANG Gang;ZHU Yaolin(School of Electronics and Information,Xi’an Polytechnic University,Xi’an 710048,China)

机构地区：[1]西安工程大学电子信息学院,陕西西安710048

出　　处：《红外与激光工程》2024年第10期107-116,共10页Infrared and Laser Engineering

基　　金：国家自然科学基金项目(62203344);陕西省自然科学基础研究重点项目(2022JZ-35)。

摘　　要：针对现有红外热像测温存在精度低、成本高等问题,利用MLX90640搭建了红外阵列成像精确测温系统,建立了改进最小二乘曲线拟合的温度补偿模型提高测温精度。首先,通过红外阵列探测器采集物体温度信息,同时,采用改进双线性插值算法对温度数据进行扩充,增强红外图像细节特征显示。然后,利用BR125黑体校准源进行30~100℃的系统温度校准标定,通过采集不同设定距离下多种温度测试数据,对多种不同曲线拟合模型的拟合程度分析,进行温度误差拟合曲线修正优化,建立温度修正优化模型,实现了在不同距离下对红外测温估计值的精准预测。实验测试结果表明,所提修正模型在进行优化补偿后最大温度误差不超过1.0℃,平均温度误差从5.70℃减少到0.24℃,使得测温精度大幅提升。为了评估实验结果的偏差程度,进行了不确定度分析,平均标准偏差为0.848℃,达到了实验预期结果,验证了该方法测温的精确性及所提模型的可靠性。该系统实现了对物体温度快速精确测量,可实时观测出区域内物体温度分布情况,具有广泛的应用场景。Objective Non-contact infrared imaging thermometry,as an advanced temperature measurement method,holds significant application value in military security,medical health,industrial production,fire detection,and prevention.To address existing issues such as low accuracy and high costs in current infrared thermal imaging,a precise temperature measurement system utilizing MLX90640 infrared array imaging has been developed.This system incorporates an improved least squares curve fitting temperature compensation model and to enhance temperature measurement accuracy.This implementation ensures more efficient system processing and costeffectiveness.Methods Collecting object temperature information through the MLX90640 infrared array detector involves gathering data on the temperatures of objects using this technology.The improved bilinear interpolation algorithm is used to expand the temperature data to enhance the display of infrared image detail features.The system temperature calibration and calibration are performed using the BR125 blackbody calibration source for 30℃to 100℃,and various temperature test data are collected at different set distances(Tab.1).It is found that the temperature error gradually increases with the increase of the measuring distance,showing a certain linear relationship(Fig.5).Exponential,linear,and second-order polynomial fitting models are established for temperature errors,and the temperature error fitting curve is optimized by comparing the determination coefficients of different temperature error fitting models(Tab.2)to establish a temperature correction optimization model(Tab.3)and estimate the true temperature of the object,achieving accurate prediction of the estimated infrared temperature values at different distances.The uncertainty of the experimental results is analyzed,and uncertainty analysis is carried out in the temperature range of 30℃to 100℃.By analyzing the average temperature difference and average standard deviation,the reliability of the experimental results is ve

关 键 词：红外成像测温 图像增强 黑体 温度修正 

分 类 号：TN216[电子电信—物理电子学]