In relation to digital twins, patterns refer to the ability of digital twins to identify trends and behaviours by analysing data from the physical system they represent. Digital twins are virtual representations enriched with analytics that simulate the behaviour of real assets or processes.

They help in decision-making by translating information into actionable insights for project teams and organizational teams. The adaptability of digital twins is crucial for their long-term value, ensuring they evolve alongside changes in technology, society, and the built environment. These twins must be able to adapt, develop, and remain useful over time, maintaining consistency in collected data for effective decision-making. The user interface is also essential for digital twins, allowing stakeholders to interact with the data and drive applications like portals, dashboards, and decision support systems.