A data processing algorithm for multispectral radiation thermometry based on multi-segment linear model and secondary inversion
•The optimization problem of multispectral radiation thermometry is constructed based on the multi-segment linear emissivity model, which has a unique least square solution.•According to the median for the value range of emissivity, the appropriate wavelengths used for establishing multi-segment lin...
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| Published in | Measurement : journal of the International Measurement Confederation Vol. 201; p. 111753 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
30.09.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0263-2241 1873-412X |
| DOI | 10.1016/j.measurement.2022.111753 |
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| Abstract | •The optimization problem of multispectral radiation thermometry is constructed based on the multi-segment linear emissivity model, which has a unique least square solution.•According to the median for the value range of emissivity, the appropriate wavelengths used for establishing multi-segment linear emissivity model can be determined.•The problem of channel temperature inconsistency in the hypothetical model method of multispectral radiation thermometry is solved by the secondary inversion.
Multispectral radiation thermometry is a branch of infrared temperature measurement technology with wide application in many industries. Although this technology has been developed for decades, there is still a problem in its data processing, that is, how to accurately solve the radiation equations without the information of object’s emissivity. The traditional fixed emissivity model method cannot adapt to all objects. Therefore, this study proposes a data processing algorithm for multispectral radiation thermometry based on multi-segment linear model and secondary inversion. The algorithm can automatically select the multi-segment linear model suitable for the measured object, and realize the accurate calculation of temperature and emissivity through the secondary inversion. The efficiency and accuracy of the algorithm are verified through simulations. The experimental results of temperature measurement of aviation alloy prove the effectiveness of this algorithm in practical application. |
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| AbstractList | •The optimization problem of multispectral radiation thermometry is constructed based on the multi-segment linear emissivity model, which has a unique least square solution.•According to the median for the value range of emissivity, the appropriate wavelengths used for establishing multi-segment linear emissivity model can be determined.•The problem of channel temperature inconsistency in the hypothetical model method of multispectral radiation thermometry is solved by the secondary inversion.
Multispectral radiation thermometry is a branch of infrared temperature measurement technology with wide application in many industries. Although this technology has been developed for decades, there is still a problem in its data processing, that is, how to accurately solve the radiation equations without the information of object’s emissivity. The traditional fixed emissivity model method cannot adapt to all objects. Therefore, this study proposes a data processing algorithm for multispectral radiation thermometry based on multi-segment linear model and secondary inversion. The algorithm can automatically select the multi-segment linear model suitable for the measured object, and realize the accurate calculation of temperature and emissivity through the secondary inversion. The efficiency and accuracy of the algorithm are verified through simulations. The experimental results of temperature measurement of aviation alloy prove the effectiveness of this algorithm in practical application. |
| ArticleNumber | 111753 |
| Author | Zou, Zhou Yan, Fang Zhang, Yucun |
| Author_xml | – sequence: 1 givenname: Yucun surname: Zhang fullname: Zhang, Yucun email: zhangyc919@126.com – sequence: 2 givenname: Zhou surname: Zou fullname: Zou, Zhou email: zouzhouemail@163.com – sequence: 3 givenname: Fang surname: Yan fullname: Yan, Fang |
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| CitedBy_id | crossref_primary_10_1016_j_infrared_2023_104573 crossref_primary_10_15407_srenergy2023_01_055 crossref_primary_10_1364_OL_529000 crossref_primary_10_1364_OE_503423 crossref_primary_10_1364_AO_493812 crossref_primary_10_1364_OE_543853 crossref_primary_10_1016_j_optlastec_2024_111866 crossref_primary_10_1016_j_infrared_2024_105387 crossref_primary_10_1016_j_optcom_2024_131311 crossref_primary_10_1016_j_applthermaleng_2025_125592 crossref_primary_10_1364_OE_547412 |
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