Research on Large-Area Blackbody Radiation Source for Infrared Remote Sensor Calibration

Ji, Yalan; Hao, Xiaopeng; Sun, Yandong; Xing, Zhao; Song, Jian; Zhou, Jingjing; Sima, Rui-Heng; Sun, Shaofang; Wang, Guangjun

doi:10.1007/s10765-022-03067-0

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…During the temperature-correction procedure, the measurement point of each channel will have a certain distance error relative to the center of the blackbody, which directly affects the temperature uniformity correction of the blackbody source and, consequently, the calibration performance of the blackbody source. Most large-area blackbodies rely on manual measurement methods for testing and calibrating the errors of each temperature control channel, whereby an infrared thermometer is fixed on a tripod and the measurement point is changed by moving the tripod [ 16 ]. This method is not only inefficient, but also poses difficulties in operation, especially within extreme-temperature environments (with high-temperature blackbody sources reaching up to 1473 K and low-temperature sources down to 100 K), presenting certain risks to operators [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Temperature-Automated Calibration Methods for a Large-Area Blackbody Radiation Source

Yang,

Cao,

Huang

et al. 2024

Sensors

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High-precision temperature control of large-area blackbodies has a pivotal role in temperature calibration and thermal imaging correction. Meanwhile, it is necessary to correct the temperature difference between the radiating (surface of use) and back surfaces (where the temperature sensor is installed) of the blackbody during the testing phase. Moreover, large-area blackbodies are usually composed of multiple temperature control channels, and manual correction in this scenario is error-prone and inefficient. At present, there is no method that can achieve temperature-automated calibration for a large-area blackbody radiation source. Therefore, this article is dedicated to achieving temperature-automated calibration for a large-area blackbody radiation source. First, utilizing two calibrated infrared thermometers, the optimal temperature measurement location was determined using a focusing algorithm. Then, a three-axis movement system was used to obtain the true temperature at the same measurement location on a large-area blackbody surface from different channels. This temperature was subtracted from the blackbody’s back surface. The temperature difference was calculated employing a weighted algorithm to derive the parameters for calibration. Finally, regarding experimental verification, the consistency error of the temperature measurement point was reduced by 85.4%, the temperature uniformity of the surface source was improved by 40.4%, and the average temperature measurement deviation decreased by 43.8%. In addition, this system demonstrated the characteristics of strong environmental adaptability that was able to perform temperature calibration under the working conditions of a blackbody surface temperature from 100 K to 573 K, which decreased the calibration time by 9.82 times.

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Section: Introductionmentioning

confidence: 99%

Temperature-Automated Calibration Methods for a Large-Area Blackbody Radiation Source

Yang,

Cao,

Huang

et al. 2024

Sensors

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“…Emissivity, as one of the important parameters of the surface-source blackbody, directly determines the accuracy level of the blackbody radiation measurement value, and how to improve the effective emissivity is an important part of the blackbody development process. The use of different structures of pyramidal microcavity structure is an effective method to improve the surface emissivity, which is suitable for large-aperture laboratory calibrated surface-source blackbody [6] [7] . However, the effective emissivity of such a surface-source blackbody radiation source is affected by the surface microstructure of the radiation surface, high emissivity coating and angle, etc.…”

Section: Introductionmentioning

confidence: 99%

Research on emissivity of surface blackbody with microarray structure based on Monte-Carlo method

WANG

XIA

HAO

et al. 2023

Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022)

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The surface-source blackbody is widely used in infrared remote sensing and other fields as a calibration source to calibrate infrared loads by providing accurate infrared radiation, and the effective emissivity of the surface-source blackbody is one of the important parameters for the calibration of infrared devices, which directly determines the accuracy of calibration. In this paper, two microarray structure models, ideal and non-ideal cases, are established around the effective emissivity of the surface-source blackbody radiating surface, and simulation experiments based on Monte-Carlo method (MCM)are carried out. The effective emissivity of the blackbody radiation source is analyzed to be influenced by the geometrical parameters of the microcavity structure, the emissivity of the surface coating and different angles. The effective emissivity increases with the decrease of the base height ratio of the pyramidal microcavity structure, and the emissivity of the surface coating material is linearly increasing, and the linearity of the two models is better than 0.9997. The effective emissivity of the ideal and non-ideal models has a small trend in the vertical direction and horizon direction angle 0-±10°, and the standard deviation is less than 0.15%, which has high stability. The results of the study can provide theoretical guidance for the enhancement of the effective emissivity of the surface-source blackbody.

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Research on Large-Area Blackbody Radiation Source for Infrared Remote Sensor Calibration

Cited by 2 publications

References 23 publications

Temperature-Automated Calibration Methods for a Large-Area Blackbody Radiation Source

Temperature-Automated Calibration Methods for a Large-Area Blackbody Radiation Source

Research on emissivity of surface blackbody with microarray structure based on Monte-Carlo method

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