Populating digital twins for value chain networks

This invention describes a system that creates virtual copies, called digital twins, of an enterprise's facilities using sensor data. It then customizes these digital twins for individual users based on their job role, showing them only the relevant information at an appropriate level of detail. The claims focus on this personalized view, rather than the broader logistics design and simulation mentioned in the abstract.

Why it matters: Since 2021, advancements in AI, particularly large language models, have made dynamically determining user roles and generating highly customized, granular digital twin views from sensor data much more feasible. This simplifies the core logic of tailoring information to specific workforce needs.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, ML/AI models, sensor integration

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