Guide
Digital twins are rapidly emerging as powerful tools for understanding and managing complex physical environments, using connected data and virtual models to provide deeper insight into how buildings, assets and systems perform over time.
As organisations seek better ways to understand and manage increasingly complex physical environments, digital twins have emerged as an important concept in modern infrastructure and asset management. Originating in industries such as aerospace and manufacturing, digital twins combine real-world data with virtual models to create dynamic representations of physical assets, systems or entire environments. By connecting data from sensors, building systems and operational platforms, digital twins provide a continuously updated view of how assets perform, enabling organisations to analyse performance, predict issues and make more informed decisions. Today, this approach is increasingly being applied across sectors such as the built environment, healthcare, education and infrastructure to support more efficient, resilient and data-driven operations.
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