Automatic 3D thermal modeling using thermal data obtained from unknown viewpoints

Citations

SCOPUS

0

초록

There has been an increasing need for diagnostic methods to detect energy leakage in order to reduce energy consumption of buildings. Currently, infrared thermography is used as a preliminary investigation tool because it does not cause physical damage during the exploratory investigation. In practice, diagnosis of the building using infrared thermography requires not only drawings of the building but also the properties of materials and information about the joints and junctions of the building components. However, often, accurate building drawings are not available for existing buildings, and this makes diagnosis of the building using infrared thermography difficult. This study aims to propose a method to automatically map infrared thermographs acquired during periodic diagnosis of the building to its as-built data without fixing the relative position and direction of the infrared camera and a sensor that is used to acquire the as-built 3D point cloud. The preliminary experimental result shows that the proposed method can automatically map an infrared thermograph to an as-built 3D point cloud acquired from different positions and at different times.

키워드

3D thermal modeling; As-built data; Energy leakage; Infrared thermography; Laserscan data; Buildings; Energy utilization; Robotics; Thermoanalysis; Thermography (imaging); 3D thermal model; Diagnostic methods; Energy leakage; Infra-red cameras; Infrared thermographs; Laserscan data; Reduce energy consumption; Relative positions; 3D modeling
제목
Automatic 3D thermal modeling using thermal data obtained from unknown viewpoints
저자
Lee, S.; Son, H.; Kim, C.
DOI
10.22260/isarc2015/0056
발행일
2015
유형
Conference paper
저널명
32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings
권
2015
페이지
1 ~ 6