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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.
Hubert Pialot, David Demange, Brice Ravat, Manuel Grivet
Fusion Science and Technology | Volume 41 | Number 3 | May 2002 | Pages 495-499
Analysis and Monitoring | Proceedings of the Sixth International Conference on Tritium Science and Technology Tsukuba, Japan November 12-16, 2001 | doi.org/10.13182/FST02-A22638
Articles are hosted by Taylor and Francis Online.
This paper presents a method to quantify the tritium activity in a drum by measurement of its helium-3 leak. A model of helium exchanges with the atmosphere has been developed. It takes into account the diffusion phenomena and the influence of atmospheric pressure changes. The validation has been achieved with a pilot and the comparison between theoretical and experimental data has highlighted a very good agreement. Drum's helium-3 leak equilibrates after six months and then equals the helium-3 production in the drum and so to the total tritium activity. The measurement technique is also described. It's based on quantitative helium trace level determinations with an adapted leak detector. After a drum's confinement period of 5 hours and a cryogenic treatment of gaseous samples, the method allows to detect a 5 GBq activity of tritium in a drum.