2026-04-14T04:19:35Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4050162026-01-30T09:10:05Zcom_2072_1033col_2072_452950

Determining the degree of deformation in rain drainage installations through point cloud modelling Pawlowicz, Joanna A. Skotnicka-Siepsiak, Aldona Serrat Piè, Carles Universitat Politècnica de Catalunya. Departament de Matemàtiques Universitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica Àrees temàtiques de la UPC::Edificació::Patologies constructives Drainage, House Buildings--Maintenance Three-dimensional imaging in architecture 3D laser scanning Point clouds Inventory 3D modeling Roof drainage Desguàs d'edificis Edificis--Manteniment i reparació Imatgeria tridimensional en arquitectura Buildings are often complex and hindered by identifying and measuring deformation in both the building itself and its elements. However, we have the assistance of 3D laser scanning technology which allows us to collect geometric data. Scanners are particularly effective for measuring high and hard-to-reach locations. This paper focuses on the measuring and modeling of roof drainage installations, which are usually placed at elevated heights, making it impossible to measure using traditional methods. Rain gutters need constant monitoring in order to fulfill their function and ensure proper drainage of rainwater. Laser scanning produces a point cloud which can be converted in a 3D model using software such as Leica Cyclone, AutoCad and ReCap. This study demonstrates the successful utilization of laser scanning in identifying geometric features and deformations in building installations. Peer Reviewed Objectius de Desenvolupament Sostenible::11 - Ciutats i Comunitats Sostenibles Postprint (published version) 2023 Article Pawlowicz, J.; Skotnicka-Siepsiak, A.; Serrat, C. Determining the degree of deformation in rain drainage installations through point cloud modelling. "Construction of Optimized Energy Potential", 2023, vol. 12, p. 63-69. 2299-8535 https://hdl.handle.net/2117/405016 10.17512/bozpe.2023.12.07 eng https://sciendo.com/es/article/10.17512/bozpe.2023.12.07 http://creativecommons.org/licenses/by-nc-nd/4.0/ Open Access Attribution-NonCommercial-NoDerivatives 4.0 International 7 p. application/pdf