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This invention describes a software system designed to improve and control manufacturing processes. It works by creating a digital model of a factory's operations, identifying key inputs and outputs, and then using algorithms to check and validate the relationships between them. The system can even convert continuous sensor data into discrete steps to better understand how different parts of the process influence each other, often using statistical methods.
Why it matters: Filed before widespread industrial IoT and cloud computing, the infrastructure needed for a distributed system combining diverse manufacturing data was nascent. Today, advanced sensor networks, powerful machine learning, and scalable cloud platforms make implementing and optimizing such a data-driven control system far more feasible and impactful.
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