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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.
M.L. Nahm, C.D. Buchanan, M.A. Bourham, J.G. Gilligan
Fusion Science and Technology | Volume 26 | Number 3 | November 1994 | Pages 618-622
Divertor Experiment and Technology | Proceedings of the Eleventh Topical Meeting on the Technology of Fusion Energy New Orleans, Louisiana June 19-23, 1994 | doi.org/10.13182/FST94-A40225
Articles are hosted by Taylor and Francis Online.
Diagnostic modules equipped with various sensors can provide useful information on key parameters for disruption events, e.g. energy deposition, vapor shielding effect, plasma pressure and force distribution. The modules are, basically, DIMES samples (Divertor Materials Evaluation System) equipped with sensors, coupled to digitizing unites and interfaced to a data acquisition system. The DIMES samples are part of the lower divertor diagnostics on the DIII-D tokamak. Three top-cap prototype diagnostics modules have been designed and fabricated. The initial testing and calibration have been performed using the SIRENS plasma gun at an energy deposition of 1 to 12 MJ/m2 over 0.1 to 1.0 ms, with a plasma pressure >100 MPa.
