The construction industry, a key sector of the global economy, is undergoing a profound transformation in response to challenges such as low productivity, high environmental impact and the need for greater resilience. The digital transition, driven by the adoption of advanced technologies such as BIM, Digital Twin, IoT and artificial intelligence, is revolutionizing design, construction and management, improving operational efficiency and predictive maintenance. These tools enable more accurate monitoring of infrastructure, reducing maintenance costs, preventing breakdowns and extending the life of buildings. In parallel, the increase in extreme weather events requires the adoption of adaptive buildings, integrating digital innovations and sustainable building practices. More stringent regulations and strategic investments accelerate this evolution, optimizing the life cycle of buildings and reducing environmental impact. Advanced data analysis enables the identification of effective strategies, improving energy efficiency and promoting a more resilient and innovative built environment.

Digital and Maintenance Revolution Digital Twin and AI the Future of Construction / Zitiello, E. P.; Porcellini, F.; Salzano, A.; Nicolella, M.. - (2025), pp. 373-377. ( 4th IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2025 Scientific Campus of Ca' Foscari, ita 2025) [10.1109/MetroLivEnv64961.2025.11107084].

Digital and Maintenance Revolution Digital Twin and AI the Future of Construction

Zitiello E. P.
;
Porcellini F.
;
Salzano A.
;
Nicolella M.
2025

Abstract

The construction industry, a key sector of the global economy, is undergoing a profound transformation in response to challenges such as low productivity, high environmental impact and the need for greater resilience. The digital transition, driven by the adoption of advanced technologies such as BIM, Digital Twin, IoT and artificial intelligence, is revolutionizing design, construction and management, improving operational efficiency and predictive maintenance. These tools enable more accurate monitoring of infrastructure, reducing maintenance costs, preventing breakdowns and extending the life of buildings. In parallel, the increase in extreme weather events requires the adoption of adaptive buildings, integrating digital innovations and sustainable building practices. More stringent regulations and strategic investments accelerate this evolution, optimizing the life cycle of buildings and reducing environmental impact. Advanced data analysis enables the identification of effective strategies, improving energy efficiency and promoting a more resilient and innovative built environment.
2025
Digital and Maintenance Revolution Digital Twin and AI the Future of Construction / Zitiello, E. P.; Porcellini, F.; Salzano, A.; Nicolella, M.. - (2025), pp. 373-377. ( 4th IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2025 Scientific Campus of Ca' Foscari, ita 2025) [10.1109/MetroLivEnv64961.2025.11107084].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1036215
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact