What types of data can be used in digital twins?
Digital twins can incorporate a wide range of data types to accurately replicate physical systems or processes. This can include real-time sensor data, historical performance data, environmental conditions, operational data, maintenance records, and even external data sources such as weather forecasts or market trends. By integrating diverse datasets, digital twins can provide a comprehensive and dynamic representation of the physical asset or system, enabling better insights, predictions, and decision-making.
This mind map was published on 4 March 2024 and has been viewed 124 times.
