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Integration of point cloud, historical records, and condition assessment data in HBIM
Abstract This paper outlines three processes: 3D modeling based on point cloud data, mapping of data to objects in the Heritage Building Information Modeling (HBIM) model, and extraction of data from the model. The focus of this research is to provide an accessible and easy-to-use methodology for capturing and managing information derived from historical archives, and evidence gathered during the condition survey. The integrated data covers information across historical contexts, present conditions, and future restoration works. These include dealing with fragmented historical metadata, high costs associated with modeling complex and ornate historic buildings, absence of a dedicated object library, and standardization. Future endeavors will be directed towards automating the process of Scan to Building Information Modeling (BIM), by developing custom scripts designed to automatically generate building elements. The findings contribute to the advancement of HBIM as a crucial tool for guiding informed decision-making in architectural conservation and restoration projects.
Highlights The point cloud file served as the foundation for generating the Revit Heritage Building Modeling (HBIM) model, The information collected from both historical archives and a recent condition survey was utilized to input data into the parameters of the Revit families. The criteria for condition and intervention priority have been clearly defined and assigned to both architectural and structural elements. Color legends were established to distinguish damages of building's elements and assess its overall condition. The Level of Development (LOD) and Level of Information (LOI) matrix served as tools to summarize the requisite level of development and information content applied to each element within the Building Information Modeling (BIM) model.
Integration of point cloud, historical records, and condition assessment data in HBIM
Abstract This paper outlines three processes: 3D modeling based on point cloud data, mapping of data to objects in the Heritage Building Information Modeling (HBIM) model, and extraction of data from the model. The focus of this research is to provide an accessible and easy-to-use methodology for capturing and managing information derived from historical archives, and evidence gathered during the condition survey. The integrated data covers information across historical contexts, present conditions, and future restoration works. These include dealing with fragmented historical metadata, high costs associated with modeling complex and ornate historic buildings, absence of a dedicated object library, and standardization. Future endeavors will be directed towards automating the process of Scan to Building Information Modeling (BIM), by developing custom scripts designed to automatically generate building elements. The findings contribute to the advancement of HBIM as a crucial tool for guiding informed decision-making in architectural conservation and restoration projects.
Highlights The point cloud file served as the foundation for generating the Revit Heritage Building Modeling (HBIM) model, The information collected from both historical archives and a recent condition survey was utilized to input data into the parameters of the Revit families. The criteria for condition and intervention priority have been clearly defined and assigned to both architectural and structural elements. Color legends were established to distinguish damages of building's elements and assess its overall condition. The Level of Development (LOD) and Level of Information (LOI) matrix served as tools to summarize the requisite level of development and information content applied to each element within the Building Information Modeling (BIM) model.
Integration of point cloud, historical records, and condition assessment data in HBIM
Chelaru, Bogdan (Autor:in) / Onuțu, Cătălin (Autor:in) / Ungureanu, Gabriela (Autor:in) / Șerbănoiu, Adrian Alexandru (Autor:in)
25.02.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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