The Architecture, Engineering, Construction, and Operations (AECO) industry is facing digital transformation led by new information management methods like Building Information Modelling (BIM), Extended Reality (XR) technologies, and Artificial Intelligence (AI). This change is driven by technological advances that optimize data management and the need to assist humans, according to Society 5.0’s model.

Digital Twin for BIM-FM Data Comparison: A Decision Support System Based on Graphical Interfaces / Zucco, Michele; Del Giudice, Matteo; Osello, Anna (DIGITAL INNOVATIONS IN ARCHITECTURE, ENGINEERING AND CONSTRUCTION). - In: Advances in Representation. New AI- and XR-Driven Transdisciplinarity / Giordano A., Russo M., Spallone R.. - Cham : Springer, 2024. - ISBN 9783031629624. - pp. 587-605 [10.1007/978-3-031-62963-1_36]

Digital Twin for BIM-FM Data Comparison: A Decision Support System Based on Graphical Interfaces

Zucco, Michele;Del Giudice, Matteo;Osello, Anna
2024

Abstract

The Architecture, Engineering, Construction, and Operations (AECO) industry is facing digital transformation led by new information management methods like Building Information Modelling (BIM), Extended Reality (XR) technologies, and Artificial Intelligence (AI). This change is driven by technological advances that optimize data management and the need to assist humans, according to Society 5.0’s model.
2024
9783031629624
9783031629631
Advances in Representation. New AI- and XR-Driven Transdisciplinarity
File in questo prodotto:
File Dimensione Formato  
24_Zucco-Advances in Representation.pdf

accesso riservato

Descrizione: Cover, Foreword, Preface, Contents, Full paper
Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 1.31 MB
Formato Adobe PDF
1.31 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

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/11583/2992553