This is a computer system designed to spot and manage problems in a process. It collects data about things that are going wrong and uses it to create a visual guide, like a color-coded map, showing how serious different issues are. When new problems appear, the system places them on this map, and based on whether they land in a mild, warning, or critical zone, it triggers specific responses, such as showing more details or automatically halting the entire process.
Why it matters: Filed before the widespread adoption of advanced machine learning for anomaly detection and pattern recognition. The ability to identify complex 'non-productive emergent information' and build sophisticated 'inference or reasoning models' from diverse data sources has dramatically improved since 2007.
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