Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral

Abstract

[EN] The article presents a methodology for integrating data into 3D Heritage Building Information Modeling (3D-HBIM) digital models, specifically focusing on the Chapel of the Holy Chalice case study in the Metropolitan Cathedral of Valencia. This approach is oriented towards efficiently managing and visualising crucial information for conserving architectural heritage. The methodology begins with data acquisition through terrestrial laser scanning (TLS), an advanced technique that enables the acquisition of an accurate and detailed point cloud of the architectural environment. Following data acquisition, a meticulous process of segmentation and processing is undertaken. This phase involves the use of various machine learning algorithms, including Random Sample Consensus (RANSAC) and K-Means, for data classification. These algorithms play a crucial role in identifying and classifying points based on their geometry and chromatic characteristics. A key feature of the approach is the use of colorimetry-based classification, which detects significant changes in the RGB values of the points, thereby aiding in the identification of patterns and potential deterioration in construction materials. The processed data are seamlessly integrated into BIM environments, enabling the incorporation of detailed alphanumeric data and the comprehensive visualisation and analysis of three-dimensional models. This integration is pivotal for the accurate representation and analysis of heritage architecture, providing a robust foundation for decision-making regarding its conservation and maintenance. The article examines the benefits of the proposed methodology, highlighting how the combination of advanced data acquisition techniques and digital processing can significantly enhance the representation and analysis of historical architectural structures.