The thesis delves into the multifaceted realm of Digital Twin technology within the construction industry, navigating through a comprehensive analysis of key aspects to elucidate its potential impacts. The research embarks on a journey through the literature on the metaverse, seeking insight into the trajectory of the technological revolution and its intersection with Digital Twin applications. By synthesizing existing knowledge, the study aims to firstly discern the metaverse role in shaping the future of the construction sector. The investigation extends to the varied interpretations and definitions of Digital Twin across literature. By consolidating different perspectives, the research strives to establish a unified understanding of the term, providing a solid foundation for subsequent analyses. Furthermore, the study explores the broad spectrum of Digital Twin applications, both in general and specifically within the built environment. This comprehensive overview encompasses diverse facets, ranging from design and construction to operational phases, to provide a nuanced understanding of the technology’s versatility and potential impact. A focal point of the thesis revolves around the application of Digital Twins in predictive maintenance for buildings, through an in-dept exploration, the research elucidates how Digital Twins can enhance predictive maintenance strategies, optimizing building performances and prolonging infrastructure lifespan. Case studies are analyzed to illustrate practical implementations and showcase the efficacy of Digital Twin technology in real-world scenarios. To better comprehend the challenges and opportunities within the Digital Twin landscape, the research employs a multi-faceted approach. A survey is conducted to gauge industry perspectives, unveiling potential threats and weaknesses while identifying opportunities for future growth. The findings contribute to a holistic understanding of the current state if Digital Twin technology in construction and offer insights into avenues for improvements. In conclusion, this thesis provides a comprehensive exploration of Digital Twin technology in the construction industry. By investigating the metaverse, defining Digital Twins, examining their broad applications, focusing on predictive maintenance, and conducting empirical analysis, the research aims to contribute valuable insights that can inform both academia and industry practitioners about the current landscape and future potential of Digital Twins in the built environment.
La tesi approfondisce il vasto campo della tecnologia dei "Digital Twin" all'interno dell'industria delle costruzioni, navigando attraverso un'analisi approfondita degli aspetti chiave per chiarirne le potenziali implicazioni. La ricerca intraprende un percorso attraverso la letteratura sul metaverso, cercando di ottenere una comprensione della traiettoria della rivoluzione tecnologica e della sua intersezione con le applicazioni dei "Digital Twin". Sintetizzando le conoscenze esistenti, lo studio mira innanzitutto a discernere il ruolo del metaverso nella definizione del futuro del settore delle costruzioni. L'indagine si estende alle varie interpretazioni e definizioni dei "Digital Twin" presenti nella letteratura. Consolidando diverse prospettive, la ricerca cerca di stabilire una comprensione unificata del termine, fornendo una base solida per analisi successive. Inoltre, lo studio esplora il vasto spettro delle applicazioni dei "Digital Twin", sia in generale che specificamente nell'ambiente costruito. Questa panoramica completa comprende diverse sfaccettature, che vanno dalla progettazione e costruzione alle fasi operative, per fornire una comprensione sfumata della versatilità della tecnologia e del suo potenziale impatto. Un punto focale della tesi ruota attorno all'applicazione dei "Digital Twin" nella manutenzione predittiva degli edifici. Attraverso un'approfondita esplorazione, la ricerca chiarisce come i "Digital Twin" possano potenziare le strategie di manutenzione predittiva, ottimizzando le performance degli edifici e prolungando la durata delle infrastrutture. Studi di caso sono analizzati per illustrare implementazioni pratiche e dimostrare l'efficacia della tecnologia dei "Digital Twin" in scenari reali. Per comprendere meglio le sfide e le opportunità nel panorama dei "Digital Twin", la ricerca adotta un approccio multi faccettato. Viene condotto un sondaggio per valutare le prospettive dell'industria, svelando potenziali minacce e debolezze e identificando opportunità di crescita futura. I risultati contribuiscono a una comprensione olistica dello stato attuale della tecnologia dei "Digital Twin" nella costruzione e offrono spunti per miglioramenti futuri. In conclusione, questa tesi fornisce una esplorazione completa della tecnologia dei "Digital Twin" nell'industria delle costruzioni. Indagando sul metaverso, definendo i "Digital Twin", esaminando le loro ampie applicazioni, concentrandosi sulla manutenzione predittiva e conducendo analisi empiriche, la ricerca mira a fornire preziose intuizioni che possono informare sia il mondo accademico che i professionisti del settore sul panorama attuale e sul potenziale futuro dei "Digital Twin" nell'ambiente costruito.
Digital Twin in the construction industry: a comprehensive exploration of metaverse, definitions, application, and future prospects
Pareschi, Margherita
2022/2023
Abstract
The thesis delves into the multifaceted realm of Digital Twin technology within the construction industry, navigating through a comprehensive analysis of key aspects to elucidate its potential impacts. The research embarks on a journey through the literature on the metaverse, seeking insight into the trajectory of the technological revolution and its intersection with Digital Twin applications. By synthesizing existing knowledge, the study aims to firstly discern the metaverse role in shaping the future of the construction sector. The investigation extends to the varied interpretations and definitions of Digital Twin across literature. By consolidating different perspectives, the research strives to establish a unified understanding of the term, providing a solid foundation for subsequent analyses. Furthermore, the study explores the broad spectrum of Digital Twin applications, both in general and specifically within the built environment. This comprehensive overview encompasses diverse facets, ranging from design and construction to operational phases, to provide a nuanced understanding of the technology’s versatility and potential impact. A focal point of the thesis revolves around the application of Digital Twins in predictive maintenance for buildings, through an in-dept exploration, the research elucidates how Digital Twins can enhance predictive maintenance strategies, optimizing building performances and prolonging infrastructure lifespan. Case studies are analyzed to illustrate practical implementations and showcase the efficacy of Digital Twin technology in real-world scenarios. To better comprehend the challenges and opportunities within the Digital Twin landscape, the research employs a multi-faceted approach. A survey is conducted to gauge industry perspectives, unveiling potential threats and weaknesses while identifying opportunities for future growth. The findings contribute to a holistic understanding of the current state if Digital Twin technology in construction and offer insights into avenues for improvements. In conclusion, this thesis provides a comprehensive exploration of Digital Twin technology in the construction industry. By investigating the metaverse, defining Digital Twins, examining their broad applications, focusing on predictive maintenance, and conducting empirical analysis, the research aims to contribute valuable insights that can inform both academia and industry practitioners about the current landscape and future potential of Digital Twins in the built environment.| File | Dimensione | Formato | |
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2023_12_Pareschi.pdf
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Descrizione: Digital Twin in the Construction Industry: A Comprehensive Exploration of Metaverse, Definitions, Application, and future Prospects.
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https://hdl.handle.net/10589/215191