HBIM, AI and PMBOK: Integrated approaches to effective architectural heritage management

Abstract

This article focuses on the interaction between the Heritage Information Modeling (HBIM) methodology and Artificial Intelligence (AI) technology, emphasizing their impact on the design of innovative strategies for architectural heritage management. The main objective is to examine how this integration promotes a more comprehensive and refined approach to the management of this estate, resulting in more accurate and informed decisions. Based on the management concept outlined by the Project Management Body of Knowledge PMBOK (2021), based on groups of essential processes for the development of any project - planning, execution, monitoring and control, and closure, this study seeks to explore specific applications of HBIM in conjunction with various AI techniques, such as machine learning and computer vision. These techniques make it possible to detect patterns and recognize objects, respectively.

Through bibliographic research, case studies are identified that illustrate how this integration manifests itself in practical applications. These studies range from the preservation of historical data and information to the management of this data throughout the life cycle of structures. These applications support decisions, enable predictive maintenance, risk analysis, and simulations. The main objective of this article is to contribute to stimulate the development of new technologies and methodologies that drive innovative discoveries and applications in the field of architectural heritage. A more sustainable approach to managing this legacy is sought, aiming to reduce damage and improve conservation efficiency. Although the importance of the application of emerging technologies in wealth management is recognized as a paradigm shift with several benefits, it is important to highlight the existence of a scientific knowledge gap in this field, which motivated the conception of this article.

DOI:https://doi.org/10.56238/sevened2024.003-028