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

A groundbreaking digital platform, integrating IoT technologies and AI algorithms, has been developed to monitor and assess roof degradation in historic buildings. This innovative approach, piloted at the Albergo dei Poveri complex in Genoa, combines environmental monitoring, laser scanning, photogrammetry, HBIM models, and artificial intelligence to analyze degradation phenomena effectively. The platform demonstrates significant potential for enhancing decision-making processes in the conservation of extensive architectural heritage, offering a replicable methodology for planned maintenance and restoration interventions on historic buildings.

Valentini, M., Brotto, P., Campana, P., Capponi, M., Colli, M., Rapuzzi, A., Rosso, P., Zani, S., & Vecchiattini, R. (2026). A Digital Twin Approach Integrating IoT and AI for Monitoring and Assessing Roof Degradation in Historic Buildings. Intelligent Infrastructure and Construction, 2(1), 2. https://doi.org/10.3390/iic2010002