This invention describes a smart component for an industrial factory system. It's designed to gather information from other machines or parts within the system, then figure out what that information means in the broader context of the factory's structure, like which specific work area or factory building it relates to. Based on this understanding, it identifies and stores how different components are connected and interact with each other. The claims specifically narrow the contextualization to a hierarchy of cells, work areas, or factories.
Why it matters: Filed before the widespread adoption of advanced machine learning and industrial IoT, which now provide more sophisticated tools for data contextualization and relationship recognition. The increased data availability and processing power make mapping complex industrial component interactions more feasible and automated.
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