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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
T. Kawano, T. Uda, T. Yamamoto, H. Ohashi
Fusion Science and Technology | Volume 60 | Number 3 | October 2011 | Pages 952-955
Measurement, Monitoring, and Accountancy | Proceedings of the Ninth International Conference on Tritium Science and Technology | doi.org/10.13182/FST11-A12573
Articles are hosted by Taylor and Francis Online.
For measuring the tritium concentration in water, a water monitoring system was developed. The monitoring system consists of a flow-cell detector, a pair of photomultiplier tubes, a circuit unit (including a high-voltage power supply and a coincidence counting module), a water flow pump and a multichannel pulse height analyzer. The flow-cell detector was fabricated using granular CaF2(Eu), which was solid scintillation materials. The performance of the water monitoring system was examined with three water samples containing different tritium concentrations of 10, 50 and 100 Bq/ml, and linearity between the count rate and the tritium concentration was examined. The results suggest that our system reasonably works as a water monitor for measuring low level tritium concentration. This system is the first such real-time monitoring system able to measure tritium concentrations in water continuously flowing through the solid scintillation detector.