Automated data-processing technique: 2D Map for identifying the distribution of the U-value in building elements by quantitative internal thermography

Computing a 2D colour map of average U-values pixel-by-pixel could become challenging task in terms complexity and time, especially for entire façades under the influence anomalies. In quantitative IRT test, thermal image with resolution 320 × 240 pixels involves 76,800 elements different TWALL each instant “t”. This research aims to create thermographic U-value characterization heavy walls stationary regime. The method was divided into three steps: (i) metrology; (ii) assessment how mesh discretization affects quality by MATLAB; (iii) development SURFER. results demonstrated that all maps were great reproduction original image, considering as optimum comprised 1600 8 6 pixels. automated data-processing only took 20 min losses estimated at 6.65%.