Integration of point cloud, historical records, and condition assessment data in HBIM

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.