This invention describes a software system that analyzes industrial control projects uploaded to a cloud platform. The system generates performance data and insights, such as estimated production rates or machine wear, by using digital models of industrial assets like simulations or machine learning models. It aims to help companies understand and manage their industrial automation projects.
Why it matters: The rapid evolution of AI and machine learning tools since 2023 makes developing and deploying the claimed data analysis and simulation models more efficient and powerful. This could significantly improve the accuracy and utility of the generated industrial telemetry and digital twins.
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