Automated data-processing technique: 2D Map for identifying the distribution of the U-value in building elements by quantitative internal thermography
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hdl:2117/334178
Document typeArticle
Defense date2021-02
Rights accessRestricted access - publisher's policy
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Abstract
Computing a 2D colour map of average U-values pixel-by-pixel could become a challenging task in terms of complexity and time, especially for entire façades under the influence of anomalies. In a quantitative IRT test, a thermal image with a resolution of 320 × 240 pixels involves 76,800 elements with different TWALL for each instant “t”. This research aims to create a thermographic 2D U-value map for the characterization of heavy walls in a stationary regime. The method was divided into three steps: (i) metrology; (ii) assessment of how mesh discretization affects the image quality by MATLAB; (iii) development of a 2D map by SURFER. The results demonstrated that all 2D maps were a great reproduction of the original image, considering as optimum a TWALL mesh comprised of 1600 elements of 8 × 6 pixels. The automated data-processing method only took 20 min and image quality losses were estimated at 6.65%
CitationTejedor, B. [et al.]. Automated data-processing technique: 2D Map for identifying the distribution of the U-value in building elements by quantitative internal thermography. "Automation in construction", Febrer 2021, vol. 122, p. 103478/1-103478/14.
ISSN0926-5805
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