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Automated data-processing technique: 2D Map for identifying the distribution of the U-value in building elements by quantitative internal thermography
Automation in Construction ( IF 10.3 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.autcon.2020.103478
Blanca Tejedor , Eva Barreira , Ricardo M.S.F. Almeida , Miquel Casals

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 facades 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%.

中文翻译:

自动数据处理技术:用于通过定量内部热成像识别建筑元素中 U 值分布的二维地图

摘要 逐像素计算平均 U 值的 2D 彩色图在复杂性和时间方面可能成为一项具有挑战性的任务,尤其是对于受异常影响的整个立面。在定量 IRT 测试中,分辨率为 320 × 240 像素的热图像涉及 76,800 个元素,每个瞬间“t”具有不同的 TWALL。本研究旨在创建热成像 2D U 值图,用于表征静止状态下的厚壁。该方法分为三个步骤:(i) 计量;(ii) 通过 MATLAB 评估网格离散化如何影响图像质量;(iii) SURFER 开发的 2D 地图。结果表明,所有 2D 地图都很好地再现了原始图像,将包含 1600 个 8 × 6 像素元素的 TWALL 网格视为最佳选择。
更新日期:2021-02-01
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