From point cloud data to Building Information Modelling: An automatic parametric workflow for heritage
Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Consejo General de la Arquitectura Técnica de España (CGATE) |
| Repositorio: | RIARTE |
| OAI Identifier: | oai:www.riarte.es:20.500.12251/1912 |
| Acceso en línea: | http://hdl.handle.net/20.500.12251/1912 https://doi.org/10.3390/rs12071094 |
| Access Level: | acceso abierto |
| Palabra clave: | Patrimonio cultural Modelado tridimensional Nube de puntos Escáner Láser 3D Building Information Modeling (BIM) Restauración monumental Historic Building Information Modelling (HBIM) 6305.02 Elaboración de Modelos 1203.26 Simulación 1203.09 Diseño Con Ayuda del Ordenador 3305.26 Edificios Públicos 3305.34 Topografía de la Edificación 5506.01 Historia de la Arquitectura |
| Sumario: | Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author's precision but suffices for the automatic HBIM of the case study in this research. © 2020, by the authors. |
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