Speaker
Description
This work describes the process of acquisition, validation, and visualization of geometric and thermal data obtained through LIDAR scanning of an industrial building. The study focuses on a warehouse representative of the catalogued constructions conforming the campus of the University of Castilla-La Mancha, located in the city of Toledo (Spain). The construction is a former Weapons Factory from the late XIX century, now used as a space for academic events. The objective was to create a digital model that would allow the extraction of surface temperatures from the various construction elements, facilitating their use in subsequent CFD or energy performance analyses inside the building.
The building, composed of brick masonry walls, a metal structural frame, and large glazed façades and skylights, forms a large-volume interior space with significant temperature differences between the lower and upper zones. As initial information, in this case, a detailed BIM model previously generated in .IFC format was available.
Geometric and Thermal Data collection was carried out using a LIDAR sensor on one of the hottest days of July. Simultaneously, ambient, indoor, outdoor, and surface temperatures were monitored at several locations to compare and validate the thermographic data. An application programmed in MATLAB was developed to enable interactive visualization and consultation of thermal data from the point cloud generated by the scanner. Subsequently, an algorithm was implemented to semi‑automatically assign a temperature value (obtained from the point cloud) to each construction element of the BIM model.
This work demonstrates the effectiveness of the method in providing reliable and easily accessible data, enabling more accurate building performance simulations for future rehabilitation or conditioning of the space.
