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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.
Yoshinori Kawamura, Wataru Shu, Masao Matsuyama, Toshihiko Yamanishi
Fusion Science and Technology | Volume 60 | Number 3 | October 2011 | Pages 986-989
Measurement, Monitoring, and Accountancy | Proceedings of the Ninth International Conference on Tritium Science and Technology | doi.org/10.13182/FST11-A12581
Articles are hosted by Taylor and Francis Online.
Beta ray induced X-ray spectrometry (BIXS) is one of the methods applicable to tritium gas monitor. It can measure tritium by counting the X-ray that is induced by interaction between the beta ray of tritium and the materials. Tritium gas monitor of BIXS use installed into Tritium Process Laboratory (TPL) in Japan Atomic Energy Agency (JAEA) uses NaI(Tl) as the scintillator. In this work, the NaI scintillator and the photo-multiplier that can work at 150°C have been installed instead of the ordinary scintillator and photo-multiplier. And, the sample gas such as He, T2, or T2 (1%)/He mixture was introduced into the tritium gas monitor kept at 120°C. Then, the counting rate was observed. The counting rate at 120°C was about a half of that at the room temperature. The counting rate after the heating was almost same with that before the heating. So, the deterioration of the scintillator by the heating has not been observed.