Cultural heritage sites are increasingly at risk from environmental changes, degradation, and extreme events such as earthquakes. These hazards threaten the integrity of historical structures and artistic assets, highlighting the need for advanced conservation strategies that incorporate accurate data management, predictive modelling, and risk assessment tools.
Previous research emphasizes the need to integrate multi-risk analysis and modern tools to support decision-making and the definition of intervention strategies. On the other hand, current approaches often fail to integrate diverse data sources, limiting their ability to offer comprehensive solutions. Additionally, only a few recent studies have started to consider the potential of immersive technologies for decision-making in conservation planning. This gap underscores the need for innovative approaches that combine advanced technology with environmentally sustainable solutions in heritage conservation.
This paper provides an overview of the INTERCONNECTING project, which aims to develop an integrated platform for managing heterogeneous data and historical research. It will utilize Digital Twin models, multirisk analysis, and decision-making tools to optimize conservation strategies.
INTERCONNECTING’s novelty lies in combining immersive virtual reality, multirisk analysis, and sustainable decision-making methods. It will integrate historical data and predictive models to create a comprehensive approach to conservation. The project will develop a platform to manage and analyze data, improve risk assessment with surrogate models, simulate heritage site responses to risks, and identify areas vulnerable to climate change. It will also catalogue sustainable materials for restoration.
