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Correction of Temperature from Infrared Cameras for More Precise As-Is 3D Thermal Models of Buildings

Identifiers
URI: http://hdl.handle.net/20.500.12251/3304
ISSN: 20763417
DOI: 10.3390/app13116779
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Author
Adán, Antonio; Pérez Andréu, Víctor José; Ramón, Amanda; Castilla, Francisco J.
Date
2023
Subject/s

Transferencia de calor por convección

Nube de puntos

Transmitancia térmica

Cámara térmica

Termografía infrarroja

Indicadores ambientales

Confort térmico

Aspectos ambientales

Evaluación ambiental

Modelo térmico

Unesco Subject/s

3305.90 Transmisión de Calor en la Edificación

3311.02 Ingeniería de Control

3311.16 Instrumentos de Medida de la Temperatura

3305.14 Viviendas

2213.10 Relaciones Termodinámicas

Abstract

Featured Application: The corrections presented in this paper can be applied in order to obtain a reliable empirical calculus of energy parameters in buildings by means of infrared imaging techniques. This paper studies how to create precise 3D thermal maps of building interiors by correcting the raw apparent temperature values yielded by the thermal cameras. This matter has not, to date, been dealt with in the literature, which leads us to conclude that the current methodologies that obtain thermal point clouds are incomplete and imprecise. Without a suitable correction, any further energy parameter calculation obtained from the thermal point cloud is incorrect. This paper presents a method that deals with important aspects to be corrected, such as the repeatability of thermal cameras, the use of the true emissivity of the materials sensed, and the inclusion of the reflected radiant energy caused by the environment. The method has been successfully tested in several indoor scenes using a thermal scanning platform. The results show that significant corrections of up to 8% of the raw temperature values must be carried out in the final thermal model, thus justifying the need for the correction. As an application of the method, an empirical calculation and a comparison of transmittances with and without temperature corrections are presented at the end of the paper. In this case, the relative errors with respect to the average nominal U-value decrease from 94% to 11%. The general conclusion is that precise calculations of energy parameters in which infrared cameras are involved must take these corrections to temperature into account. © 2023 by the authors.

Featured Application: The corrections presented in this paper can be applied in order to obtain a reliable empirical calculus of energy parameters in buildings by means of infrared imaging techniques. This paper studies how to create precise 3D thermal maps of building interiors by correcting the raw apparent temperature values yielded by the thermal cameras. This matter has not, to date, been dealt with in the literature, which leads us to conclude that the current methodologies that obtain thermal point clouds are incomplete and imprecise. Without a suitable correction, any further energy parameter calculation obtained from the thermal point cloud is incorrect. This paper presents a method that deals with important aspects to be corrected, such as the repeatability of thermal cameras, the use of the true emissivity of the materials sensed, and the inclusion of the reflected radiant energy caused by the environment. The method has been successfully tested in several indoor scenes using a thermal scanning platform. The results show that significant corrections of up to 8% of the raw temperature values must be carried out in the final thermal model, thus justifying the need for the correction. As an application of the method, an empirical calculation and a comparison of transmittances with and without temperature corrections are presented at the end of the paper. In this case, the relative errors with respect to the average nominal U-value decrease from 94% to 11%. The general conclusion is that precise calculations of energy parameters in which infrared cameras are involved must take these corrections to temperature into account. © 2023 by the authors.

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