Abstract
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.
Highlights
Diverse simulations can be performed on these models, such as structural behaviour assessment [6,10,11,12], sustainability [13,14], restoration decision criteria [3], Scan-to-Building Information Modelling (BIM) [5,6,7,8,9,10,11,12,13,14,15,16,17,18], safety at work [2], among others; that is, multitude fields of knowledge and implementation environments use these technologies
Analogous applications could be used for the research aim, this paper explores the potential of the rather recent Rhino+Grasshopper-ArchiCAD combination to present a novel workflow to automatically produce and transfer 3D geometries and their attributes from Terrestrial Laser Scanning (TLS) or Structure From Motion (SFM) point clouds with controllable density to BIM entities with embedded information of the assets
Starting from TLS and SFM data, a pseudo point cloud structure with controllable density is created so that the point clouds are converted into textured meshes
Summary
Diverse simulations can be performed on these models, such as structural behaviour assessment [6,10,11,12], sustainability [13,14], restoration decision criteria [3], Scan-to-BIM [5,6,7,8,9,10,11,12,13,14,15,16,17,18], safety at work [2], among others; that is, multitude fields of knowledge and implementation environments use these technologies In this regard, Bassier et al [19] highlighted the difficulty in exchanging data between diverse software and BIM platforms due to compatibility issues, especially with structural behaviour assessment applications
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