Automatic discovery of relationships among equipment through automated cycling and observation

This invention describes a system that automatically maps out how different machines and systems in a factory or commercial environment interact. It works by deliberately powering down one piece of equipment at a time and observing how all the other connected equipment reacts. By repeating this for each component, it builds a comprehensive understanding of their relationships.

Why it matters: Filed before widespread adoption of AI for causal inference in industrial systems. The core challenge of 'determining relationships' from complex industrial data, a significant software hurdle in 2021, is now more tractable with advancements in machine learning and causal inference.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, industrial control integration

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