This invention introduces an innovative machine learning tool for optimizing nuclear reactor operations and isotope production. The system learns from real-time sensor data to map optimal reactor controls, predict reactor behavior, and maximize isotope production. It adapts to various operational ranges and implements corrective measures as needed. For example, the tool can adjust reactor parameters every 10 seconds based on forecasted behavior, ensuring continuous, optimized operation for radioisotope production while minimizing unplanned shutdowns.
BACKGROUND
Medical radioisotope production is crucial for various diagnostic imaging procedures. However, the process is challenging due to the need for continuous, optimized reactor operation. Unplanned shutdowns can lead to significant loss of short-lived radioisotopes and increased costs. This innovation addresses the critical need for maintaining optimal reactor performance and maximizing radioisotope yield, which is essential for the medical imaging industry and patient care.
Benefit
Market Application
Intellectual property status
Granted Patent
Patent number : Patent No. 12,106,865
Where : USA
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