METHOD AND APPARATUS FOR REAL-TIME LEARNING-BASED AUGMENTED IRRADIATION CONTROL AND OPTIMIZATION

METHOD AND APPARATUS FOR REAL-TIME LEARNING-BASED AUGMENTED IRRADIATION CONTROL AND OPTIMIZATION

A machine-learning tool learns from sensors' data of a nuclear reactor at steady state and maps them to controls of the nuclear reactor. The tool learns all given ranges of normal operation and responses for corrective measures. The tool may train another learning tool (or the same tool) that f...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Gomez Fernandez, Mario Enrique, Reese, Steven R, Frieder, Ophir
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
NUCLEAR ENGINEERING
NUCLEAR PHYSICS
NUCLEAR REACTORS
PHYSICS
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Beschreibung
Zusammenfassung:A machine-learning tool learns from sensors' data of a nuclear reactor at steady state and maps them to controls of the nuclear reactor. The tool learns all given ranges of normal operation and responses for corrective measures. The tool may train another learning tool (or the same tool) that forecasts the behavior of the reactor based on real-time changes (e.g., every 10 seconds). The tool implements an optimization technique for differing half-life materials to be placed in the reactor. The tool maximizes isotope production based on optimal controls of the reactor.