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Proceedings Paper

Use of infrared imaging for structure from motion assessment of heat loss in buildings
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Paper Abstract

Statistics released by the U.S. Department of Energy show that the buildings sector accounts for 40% of primary energy use and associated greenhouse gas emissions, making it essential to reduce their energy consumption to meet national energy, environmental, and cost reduction initiatives. One of the major areas of energy consumption in buildings are heating, ventilation, and air conditioning systems; therefore, reducing heat losses in the structure can help increase the thermal performance of the building. Infrared (IR) imaging and the use of thermal cameras have been very effective for quantifying the thermal efficiency of a system and addressing damages in the structure. At the same time, improvements made in computer-based vision systems made Structure from Motion (SfM), a very promising technique for performing a visual inspection of large-sized systems or structures. SfM is photogrammetric range imaging technique that makes it possible to obtain three-dimensional (3D) renderings from a cloud of two-dimensional images. This research analyzes the feasibility of combining these two techniques to identify the locations of energy loss in buildings and residential homes from multiple perspectives enabling an autonomous inspection. In this study, a proof of concept laboratory experiment is performed. In particular, several tests are executed on a lab-scale structure representing a model home. Different levels of insulation distributed on the structure’s surface are used to determine the combined capability of SfM and IR images in creating a 3D virtual rendering of the structure that illustrates the locations of significant energy loss. Also, the possibility of embedding this system on an unmanned platform (e.g., drone) for expediting the inspection process is considered.

Paper Details

Date Published: 18 March 2019
PDF: 8 pages
Proc. SPIE 10973, Smart Structures and NDE for Energy Systems and Industry 4.0, 109730O (18 March 2019); doi: 10.1117/12.2515077
Show Author Affiliations
Alessandro Sabato, Univ. of Massachusetts Lowell (United States)
Christopher Niezrecki, Univ. of Massachusetts Lowell (United States)

Published in SPIE Proceedings Vol. 10973:
Smart Structures and NDE for Energy Systems and Industry 4.0
Norbert G. Meyendorf; Kerrie Gath; Christopher Niezrecki, Editor(s)

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