How do networks enable the capabilities of digital twins for real-time modeling and analysis?
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Networks enable the capabilities of digital twins for real-time modeling and analysis by providing the infrastructure necessary for communication and data transfer between the physical system and its digital replica. Through network connectivity, data collected from sensors on the physical asset can be transmitted to the digital twin for analysis, simulation, and monitoring. This real-time data transfer allows for continuous updates and adjustments to the digital twin model, enabling accurate performance prediction, optimization, and decision-making based on the most current information. Moreover, networks facilitate collaboration and sharing of digital twin insights across multiple stakeholders, enhancing the overall utility and effectiveness of digital twin applications.