Speaker
Description
The Tokamak Systems Monitor (TSM) is a comprehensive monitoring and diagnostic framework developed in collaboration with Industry and supported by ITER, F4E, and U.S. partners. Designed to support tokamak operations from integrated commissioning onward, TSM integrates global machine models with real-time sensor data to assess system health, monitor component lifetimes, and detect anomalies.
TSM includes a suite of reconstruction algorithms—electromagnetic, structural, thermal, and thermomechanical—that enable detailed analysis of structural behavior under operational conditions. Anomaly detection capabilities are being enhanced through machine learning, with a focus on early detection of failures, inspection and unplanned maintenance.
The system architecture features two distinct Human-Machine Interfaces (HMIs): one dedicated to the configuration and execution of monitoring algorithms during operations, and another focused on intershot and offline data analysis. This presentation explores the strategy adopted for the latter, detailing the design rationale, prototype developments completed as part of the Preliminary Design phase, as well as their driving requirements and objectives.
Finally, the presentation evaluates the three implementation paths considered for the Data Analysis HMI—developing a dedicated modular application, building on existing monitoring platforms, or leveraging the tool of choice for Scientific Data Analysis—and presents the decision and rationale for moving forward onto the Final Design stage.
