Throughout the building’s life, the digital twin evolves to reflect changes, renovations, or upgrades, providing a historical record of the structure. During construction, a digital twin can be used to monitor progress, compare actual construction with the planned model, and identify discrepancies or potential issues. Post-construction, the digital twin becomes a tool for facility management, energy consumption analysis, and maintenance planning. It can predict wear and tear on materials, forecast maintenance needs, and provide insights into building usage and occupancy patterns. Understanding the life cycle of a digital twin is crucial for its effective implementation in construction projects for several reasons. Recognizing the various stages of a digital twin's life cycle helps in planning the required resources, technology, and expertise needed at each phase. This foresight is essential for justifying the investment and ensuring that the project budget accounts for the entire lifecycle of the digital twin, not just its initial development. Moreover, each phase of the life cycle requires different types of data inputs and integrations. For example, during the construction phase, real-time data from the site is vital, while in the operational phase, data regarding building usage and maintenance become more relevant. Understanding these requirements ensures that the right data is collected and integrated at the right time.
DIGITAL TWIN IMPACT FOR AEC INDUSTRY
Raco Fabiana
Primo
Writing – Original Draft Preparation
;
2025
Abstract
Throughout the building’s life, the digital twin evolves to reflect changes, renovations, or upgrades, providing a historical record of the structure. During construction, a digital twin can be used to monitor progress, compare actual construction with the planned model, and identify discrepancies or potential issues. Post-construction, the digital twin becomes a tool for facility management, energy consumption analysis, and maintenance planning. It can predict wear and tear on materials, forecast maintenance needs, and provide insights into building usage and occupancy patterns. Understanding the life cycle of a digital twin is crucial for its effective implementation in construction projects for several reasons. Recognizing the various stages of a digital twin's life cycle helps in planning the required resources, technology, and expertise needed at each phase. This foresight is essential for justifying the investment and ensuring that the project budget accounts for the entire lifecycle of the digital twin, not just its initial development. Moreover, each phase of the life cycle requires different types of data inputs and integrations. For example, during the construction phase, real-time data from the site is vital, while in the operational phase, data regarding building usage and maintenance become more relevant. Understanding these requirements ensures that the right data is collected and integrated at the right time.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


