A Digital Twin Approach Integrating IoT and AI for Monitoring and Assessing Roof Degradation in Historic Buildings

The EN-HERITAGE project aims to define and prototype an integrated digital platform for the management of virtual models of buildings belonging to the historic built heritage, with a particular focus on slate roofing systems. The platform integrates IoT technologies for environmental monitoring, architectural surveys carried out using laser scanning and photogrammetry, HBIM models, and artificial intelligence algorithms for the analysis of degradation phenomena. The pilot application was conducted on the Albergo dei Poveri complex in Genoa, providing a replicable methodology for the planned conservation of the historic built environment. Preliminary results highlight the effectiveness of the platform in integrating heterogeneous data, providing stakeholders involved in the management of extensive architectural heritage with concrete support for decision-making processes and greater efficiency in planning maintenance and restoration interventions on historic buildings.

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Publication Details

Journal
Intelligent infrastructure and construction
Published
2026-01-13
DOI
https://doi.org/10.3390/iic2010002
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

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article

A Digital Twin Approach Integrating IoT and AI for Monitoring and Assessing Roof Degradation in Historic Buildings

Rita Vecchiattini, Andrea Rapuzzi, Paolo Rosso, Paolo Brotto et al.
Intelligent infrastructure and construction
3D Surveying and Cultural Heritage
article

A Digital Twin Approach Integrating IoT and AI for Monitoring and Assessing Roof Degradation in Historic Buildings

Rita Vecchiattini, Andrea Rapuzzi, Paolo Rosso, Paolo Brotto, Sara Zani, Matteo Colli, Margherita Valentini, Paolo Campana, Miguel Capponi
article en

Abstract

The EN-HERITAGE project aims to define and prototype an integrated digital platform for the management of virtual models of buildings belonging to the historic built heritage, with a particular focus on slate roofing systems. The platform integrates IoT technologies for environmental monitoring, architectural surveys carried out using laser scanning and photogrammetry, HBIM models, and artificial intelligence algorithms for the analysis of degradation phenomena. The pilot application was conducted on the Albergo dei Poveri complex in Genoa, providing a replicable methodology for the planned conservation of the historic built environment. Preliminary results highlight the effectiveness of the platform in integrating heterogeneous data, providing stakeholders involved in the management of extensive architectural heritage with concrete support for decision-making processes and greater efficiency in planning maintenance and restoration interventions on historic buildings.

Intelligent infrastructure and constructionVol. 2(1)
Genesys (United States) (US), Associazione Italiana Sclerosi Multipla (IT), University of Genoa (IT)
Università degli Studi di Genova, European Regional Development Fund
Sustainable cities and communities
Openalex Percentile: Top 93%
3D Surveying and Cultural Heritage
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A Digital Twin Approach Integrating IoT and AI for Monitoring and Assessing Roof Degradation in Historic Buildings — Rita Vecchiattini, Andrea Rapuzzi, et al. · Intelligent infrastructure and construction (2026) | TGRS Research Map | TGRS