Towards the Use of 3D Thermal Models in Constructions

Antonio Adán, Blanca Quintana, Juan García Aguilar, Víctor Pérez and Francisco Javier Castilla
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Antonio Adán: 3D Visual Computing & Robotics Lab, Castilla-La Mancha University, 13071 Ciudad Real, Spain
Blanca Quintana: Electrical, Electronic, Control, Telematics and Chemistry Applied to Engineering Department, National University of Distance Education, 28040 Madrid, Spain
Juan García Aguilar: 3D Visual Computing & Robotics Lab, Castilla-La Mancha University, 13071 Ciudad Real, Spain
Víctor Pérez: Modeling and Energy and Structural Analysis in Building and Civil Works, Castilla-La Mancha University, 16002 Cuenca, Spain
Francisco Javier Castilla: Modeling and Energy and Structural Analysis in Building and Civil Works, Castilla-La Mancha University, 16002 Cuenca, Spain

Sustainability, 2020, vol. 12, issue 20, 1-13

Abstract: The use of point clouds in architecture and civil engineering has, to date, been limited almost exclusively to functional geometric features. Nevertheless, hardly any works have attempted to process and explore 3D thermal models for buildings. This paper presents a method for the visualisation and exploration of 3D thermal models (3D-T) of building interiors. A 3D-T model consists of a thermal point cloud, which has been generated with a 3D thermal-scanner platform. Given a 3D-T of a building at a specific time, the user can visualise and navigate through different room models and each room can, in turn, be segmented into its architectonic components (walls, ceilings and floors), from which thermal orthoimages can be generated. When the building is sensed at different times, a 3D temporal-thermal (3D-TT) model is integrated. The temporal-thermal evolution of these structural components, along with selected zones of them, can then be analysed by performing a new type of thermal characterisation. This method has successfully been tested using real building-related data.

Keywords: 3D thermal models of buildings; 3D data analysis; 3D visualisation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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