TY - GEN
T1 - Data, Analysis, and Immersive Digital Models for the Multi-risk Assessment of Built Heritage
T2 - 12th International Conference of Ar.Tec. (Scientific Society of Architectural Engineering), Colloqui.AT.e 2025
AU - Sangiorgio, Valentino
AU - Cantagallo, Cristina
AU - De Bellis, Maria Laura
AU - Di Berto, Davide
AU - Natale, Gianmarco
AU - Fiorito, Francesco
AU - Fatiguso, Fabio
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Cultural Heritage
KW - Digital Twin
KW - Digitisation of the Built Heritage
KW - Multi-Risk Analysis
KW - Virtual Reality
UR - https://www.scopus.com/pages/publications/105019536789
U2 - 10.1007/978-3-032-06974-0_32
DO - 10.1007/978-3-032-06974-0_32
M3 - Conference contribution
AN - SCOPUS:105019536789
SN - 9783032069733
T3 - Lecture Notes in Civil Engineering
SP - 594
EP - 608
BT - Envisioning the Futures - Designing and Building for People and the Environment - Proceedings of Colloqui.AT.e 2025
A2 - Albatici, Rossano
A2 - Dalprà, Michela
A2 - Gatti, Maria Paola
A2 - Maracchini, Gianluca
A2 - Torresin, Simone
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 11 June 2025 through 14 June 2025
ER -