Advanced Deviation Analysis Visualization for BIM in Heritage Environment

This paper presents a methodology leveraging modern technologies such as BIM, laser scanning, and virtual reality to address challenges in maintaining historical buildings. The focus is on a scan-vs-BIM deviation analysis workflow, enabling the identification of modelling inaccuracies and structural issues by comparing HBIM models with point-cloud surveys. The proposed approach facilitates decision-making processes by providing an accessible and detailed visualization of results. The methodology begins with a structured BIM model and a corresponding point cloud. Using Autodesk Revit and a tailored Dynamo script, distances between building elements and their surveyed points are calculated and organized for compatibility with various platforms. The results are then transformed into interactive 3D visualizations using Python, where points are spatially and color-coded based on deviation values. The workflow integrates immersive technologies, such as virtual reality, to explore the results interactively and at real scale, enhancing insights beyond traditional 2D graphs and screen-based methods. This immersive visualization highlights critical details and supports improved decision-making in structural analysis and conservation efforts. The paper also discusses the potential for augmented reality to further enhance these visualizations, offering direct comparisons between BIM models, point clouds, and the physical building. With a BIM-based and open-source approach, the methodology ensures broad accessibility and reusability, making it a robust tool for deviation analysis and visualization in heritage conservation projects.

Data Structure for Cultural Heritage. Paintings from BIM to Social Media AR

This paper focuses on a process to communicate and enhance cultural heritage value. In this context, one of the main challenges is to combine its value with digital strategies and methods without losing information and increasing communication and public-private involvement. The paper proposes a methodology that uses BIM (Building Information Modeling) and CDE (Common Data Environment) concepts to build and organize information of paintings through connected databases, typically pro-duced by multiple actors. A case study in San Nicolò in Carpi verifies its application. An Instagram pro-file has been created transferring data from BIM models to Spark AR Studio to demonstrate a meth-od that creates an Augmented Reality application for cultural heritage, without the need of coding.