| Citation: |
HE Zhenpeng, WEI Xing, LI Baichun, YAN Fangchao, HU Yixin, LIU Yong, WANG Zhi. Influence of Distance and Fog on Infrared Temperature Measurement Accuracy[J]. Infrared Technology , 2024, 46(6): 681-690.
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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.
| [1] |
王旭红, 李浩, 樊绍胜, 等. 基于改进SSD的电力设备红外图像异常自动检测方法[J]. 电工技术学报, 2020, 35(S1): 302-310. https://www.cnki.com.cn/Article/CJFDTOTAL-DGJS2020S1034.htm
WANG Xuhong, LI Hao, FAN Shaosheng, et al. Infrared image anomaly automatic detection method for power equipment based on improved single shot multi box detection[J]. Transactions of China Electrotechnical Society, 2020, 35(S1): 302-310. https://www.cnki.com.cn/Article/CJFDTOTAL-DGJS2020S1034.htm
|
| [2] |
张若岚, 张晋, 林宇, 等. 红外技术在航空发动机工作状态监控中的应用[J]. 红外技术, 2014, 36(2): 102-105. http://hwjs.nvir.cn/cn/article/id/hwjs201402003
ZHANG Ruolan, ZHANG Jin, LIN Yu, et al. The application of infrared technique in jet engine working state inspection[J]. Infrared Technology, 2014, 36(2): 102-105. http://hwjs.nvir.cn/cn/article/id/hwjs201402003
|
| [3] |
任照环, 许伟, 余蜀豫, 等. 重庆南川区雾气候特征及天气成因分析[J]. 成都信息工程大学学报, 2021, 36(2): 223-229. https://www.cnki.com.cn/Article/CJFDTOTAL-CDQX202102015.htm
REN Zhaohuan, XU Wei, YU Shuyu, et al. Analysis on the climatic characteristics and weather causes of fog in Nanchang district of Chongqing [J]. Journal of Chengdu University of Information Technology, 2021, 36(2): 223-229. https://www.cnki.com.cn/Article/CJFDTOTAL-CDQX202102015.htm
|
| [4] |
王海娟, 胡振琪, 夏清, 等. 距离和湿度对煤矸石山表面温度探测的影响研究[J]. 红外技术, 2015, 37(7): 618-623. http://hwjs.nvir.cn/cn/article/id/hwjs201507017
WANG Haijuan, HU Zhenqi, XIA Qing, et al. Research on measuring distance and humidity effects on thermal infrared temperature measurement precision of temperature field of waste piles[J]. Infrared Technology, 2015, 37(7): 618-623. http://hwjs.nvir.cn/cn/article/id/hwjs201507017
|
| [5] |
廖盼盼, 张佳民. 红外测温精度的影响因素及补偿方法的研究[J]. 红外技术, 2017, 39(2): 173-177. http://hwjs.nvir.cn/cn/article/id/hwjs201702012
LIAO Panpan, ZHANG Jiamin. Research on influence factors for measuring and method of correction in infrared thermometer[J]. Infrared Technology, 2017, 39(2): 173-177. http://hwjs.nvir.cn/cn/article/id/hwjs201702012
|
| [6] |
PAN Dong, JIANG Zhaohui, Maldague Xavier, et al. Research on the influence of multiple interference factors on infrared temperature measurement[J]. IEEE Sensors Journal, 2021, 21(9): 10546-10555.
|
| [7] |
陈一明. 红外热像仪测温精度的研究[D]. 秦皇岛: 燕山大学, 2017.
CHEN Yiming. Study on Temperature Measurement Accuracy of Infrared Thermal Imager[D]. Qinhuangdao: Yanshan University, 2017.
|
| [8] |
赵玥. 距离及视场角对近红外热像仪精度影响的研究[D]. 沈阳: 东北大学, 2012.
ZHAO Yue. The Study About the Effect of the Distance and the Angle of Vision on the Precision of Temperature Measurement Using Infrared Thermal Imaging System[D]. Shenyang: Northeastern University, 2012.
|
| [9] |
陆子凤. 红外热像仪的辐射定标和测温误差分析[D]. 长春: 中国科学院研究生院(长春光学精密机械与物理研究所), 2010.
LU Zifeng. Calibration and the Measurement Error Analysis of Infrared Imaging System for Temperature Measurement[D]. Changchun: Graduate School of the Chinese Academy of Sciences (Changchun Institute of Optics, Fine Mechanics and Physics), 2010.
|
| [10] |
王婷, 徐军, 高旸, 等. 雾中红外辐射传输衰减特性分析[J]. 电光与控制, 2019, 26(3): 65-68. https://www.cnki.com.cn/Article/CJFDTOTAL-DGKQ201903014.htm
WANG Ting, XU Jun, GAO Yang, et al. Analysis on attenuation characteristics of infrared radiation transmitting in fog[J]. Electronics Optics & Control, 2019, 26(3): 65-68. https://www.cnki.com.cn/Article/CJFDTOTAL-DGKQ201903014.htm
|
| [11] |
HE Kaiming, SUN Jian, TANG Xiaoou. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 33(12): 1956-1963.
|
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