距离和雾对红外测温精度影响的补偿研究

何振鹏; 魏星; 黎柏春; 闫方超; 胡艺馨; 刘勇; 王智

距离和雾对红外测温精度影响的补偿研究

何振鹏^1,,
魏星¹,
黎柏春^1, ,,
闫方超²,
胡艺馨¹,
刘勇¹,
王智¹

1.
中国民航大学航空工程学院, 天津 300300
2.
天津布尔科技有限公司, 天津 300392

基金项目:

天津市教委科研计划项目 2020KJ015

详细信息

作者简介:
何振鹏（1985-），男，江西九江人，博士，副教授，从事机械摩擦学、发动机气路密封研究。E-mail: hezhenpeng@tju.edu.cn

通讯作者:
黎柏春（1986-），男，重庆人，博士，讲师，从事数字化设计与制造、计算机视觉研究。E-mail: bc_li@cauc.edu.cn

中图分类号: TN219
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出版历程
- 收稿日期: 2022-05-08
- 修回日期: 2022-07-04
- 网络出版日期: 2024-06-23
- 刊出日期: 2024-06-19

Influence of Distance and Fog on Infrared Temperature Measurement Accuracy

1.
College of Aerospace Engineering, Civil Aviation University of China, Tianjin 300300, China
2.
Tianjin Bool Technology Co. Ltd., Tianjin, 300392, China

摘要

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。
- 红外热像仪 /
- 误差补偿 /
- 测温精度 /
- 暗通道先验
Abstract:
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.
- infrared thermal imager /
- error compensation /
- temperature measurement accuracy /
- dark channel prior

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图 1 红外热像仪测温原理

Figure 1. Temperature measurement schematic diagram of infrared thermal imager

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图 2 系统界面

Figure 2. System interface

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图 3 实验装置

Figure 3. Experimental device

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图 4 不同距离处三次实验测量结果

Figure 4. Three experimental measurements at different distances

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图 5 不同距离处实验测量结果局部放大图

Figure 5. Partial enlarged view of experimental measurement results at different distances

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图 6 距离-误差温度拟合曲线

Figure 6. The distance-error temperature fitting curve

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图 7 模型补偿前后温度对比曲线

Figure 7. Temperature comparison curves before and after model compensation

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图 8 测量温度随距离和相对湿度变化曲面

Figure 8. Curved surface of measuring temperature varying with distance and relative humidity

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图 9 测量温度随透射率变化曲面及散点图

Figure 9. Curved surface and scatter diagram of measured temperatures varying with transmittance

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图 10 透射率-误差温度拟合曲线

Figure 10. The transmittance-error temperature fitting curves

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图 11 水蒸气含量-透射率拟合曲线

Figure 11. The water vapor content-transmittance fitting curve

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表 1 实验中使用设备的参数

Table 1 Parameters of equipment used in the experiment

Equipments	Characteristic parameters
	Equipment type	FOTRIC615C
	Measuring range/℃	−20 to 350
Thermal infrared imager	Image resolution	240×320
	Angle of field/°	30×22
	Minimum imaging distance/m	> 0.5
Humidity sensor	Measuring range of humidity	0%RH-100%RH
Heating piece	Temperature/℃	115
Camera	Image resolution	4624×2080
Humidifier	Spray volume/ ml/h	50
Thermocouple	Temperature Measuring range/℃	−50 to 1300
Acrylic board experimental box	Box size/cm	50×50×50 (10 pieces)

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表 2 实验环境参数

Table 2 Experimental environment parameters

Parameters	Measured results
Ambient temperature/℃	22
Atmospheric temperature/℃	22
Relative humidity/%	42
Emissivity	0.97
Distance/m	1

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表 3 实验方案

Table 3 Experimental scheme

Experiment No.	Focus	Parameter compensation
1	N	N
2	Y	N
3	Y	Y

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表 4 不同距离处三次实验相关参数

Table 4 Relevant parameters of three experiments at different distances

Distance/m	Environmental transmittance	Humidification time/min	Experiment box size/cm
1	0.918103	5	50×50×50 (2 pieces)
2	0.914009	12	50×50×50 (4 pieces)
3	0.936667	35	50×50×50 (6 pieces)

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表 5 大气平均透过率与海平面水蒸气含量的关系

Table 5 Relationship between atmospheric mean transmittance and sea level water vapor content

Wavelength/μm	Water vapor content/%
Wavelength/μm	0.2	0.5	1	2	5	10	20	50	100
3 to 5	0.9514	0.9257	0.8932	0.8504	0.7745	0.701	0.6174	0.5084	0.4347
8 to 12	0.9968	0.9902	0.9838	0.9677	0.9451	0.8511	0.7267	0.4782	0.2229

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表 6 距离4 m处测量温度补偿

Table 6 Temperature compensation table measured at a distance of 4 m

Transmissivity	Measured temperature by thermocouple/℃	Measured temperature/℃	Relative errors%	Measured temperature with compensation model/℃	Relative error/%
0.500784	114.7	95.6	16.65	113.86	0.73
0.519412	114.7	96.1	16.22	112.41	1.99
0.526863	114.7	97.3	15.17	112.91	1.56
0.530588	114.7	97.9	14.65	113.18	1.33
0.541765	114.7	99.6	13.16	113.92	0.68
0.549216	114.7	100.8	12.12	114.53	0.68
0.552941	114.7	102.1	10.99	115.54	0.73
0.560392	114.7	102.9	10.29	115.80	0.96
0.575294	114.7	104.0	9.33	115.89	1.04
0.582745	114.7	104.7	8.72	116.13	1.25
0.597647	114.7	105.6	7.93	116.18	1.29
0.623726	114.7	106.5	7.15	115.80	0.96
0.638627	114.7	106.9	6.80	115.58	0.77
0.675882	114.7	107.5	6.28	114.90	0.17
0.687059	114.7	107.9	6.19	114.98	0.24
0.690784	114.7	108.4	5.49	115.38	0.59
0.716863	114.7	108.6	5.32	114.94	0.21
0.728039	114.7	109.0	4.97	115.11	0.36
0.739216	114.7	109.3	4.70	115.19	0.43
0.772745	114.7	109.6	4.45	114.94	0.21
0.780196	114.7	109.8	4.27	115.04	0.30
0.81000	114.7	110.1	4.01	114.98	0.24
0.828627	114.7	110.3	3.80	114.99	0.25
0.855943	114.7	110.4	3.5	114.85	0.13

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表 7 距离5 m处测量温度补偿

Table 7 Temperature compensation table measured at a distance of 5 m

Transmissivity	Measured temperature by thermocouple/℃	Measured temperature/℃	Relative errors%	Measured temperature with compensation model/℃	Relative error/%
0.508235	114.7	93.6	18.40	112.77	1.68
0.519412	114.7	95.3	16.91	113.34	1.19
0.526863	114.7	96.8	15.61	114.13	0.50
0.538093	114.7	98.4	14.21	114.75	0.04
0.552941	114.7	100.0	12.82	115.16	0.40
0.579020	114.7	102.2	10.90	114.53	0.15
0.582745	114.7	103.2	10.30	116.35	1.44
0.590196	114.7	103.5	9.80	116.21	1.32
0.593926	114.7	103.8	9.50	116.30	1.39
0.605098	114.7	104.2	9.15	116.10	1.22
0.612549	114.7	104.5	8.89	116.04	1.55
0.646078	114.7	105.1	8.37	115.21	0.44
0.657255	114.7	105.7	7.85	115.41	0.62
0.679608	114.7	105.9	7.67	114.90	0.17
0.687059	114.7	106.1	7.50	114.90	0.17
0.694510	114.7	106.4	7.24	115.00	0.26
0.720588	114.7	106.8	6.89	114.88	0.16
0.728039	114.7	107.0	6.71	114.83	0.11
0.735490	114.7	107.2	6.54	114.88	0.16
0.746667	114.7	107.3	6.45	114.78	0.07
0.776471	114.7	107.5	6.28	114.51	0.17
0.783922	114.7	107.7	6.10	114.61	0.08
0.795089	114.7	107.9	5.93	114.67	0.03
0.824902	114.7	107.9	5.90	114.34	0.31

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参考文献(11)

[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.