Cooling system, controllers and methods

This invention describes a smart control system for liquid-cooled electronics, such as server racks. It works by using multiple sensors to constantly cross-reference each other's readings, allowing the system to detect problems or predict future conditions within the cooling setup. Specifically, it compares a sensor's actual reading against a predicted value derived from other sensors, flagging an issue if there's a significant difference.

Why it matters: The self-diagnostic and predictive features, like determining sensor health or predicting temperatures, can now leverage more advanced and accessible machine learning algorithms and edge computing capabilities than were common in 2018. This makes implementing robust real-time anomaly detection and predictive maintenance for complex cooling systems significantly more feasible.

Status: Not in forceListed as no longer active.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

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