Speaker
Description
Developing reliable control infrastructures is essential for ensuring stable operation in modern particle accelerators. This work presents a complete software-based control environment integrating EPICS Soft IOCs, Python-driven data processing, and Qt/PyDM graphical interfaces to simulate and control accelerator subsystems. The system models realistic device behavior through custom IOC databases containing analog and waveform records, including automated alarm handling for fault detection.
A multi-layer GUI architecture enables real-time visualization of currents, voltages, vacuum states, and diagnostic signals, while interactive control panels allow operators to adjust parameters and access detailed subsystem displays. Integrated archiving through the LCLS Archiver Appliance provides long-term data retrieval and trend analysis, allowing systematic evaluation of system stability and device performance.
Together, these components form a functional prototype capable of emulating core accelerator operations—from live monitoring to historical data analysis—supporting system testing, operator training, and early-stage development without hardware dependencies. The presentation will discuss system design, IOC architecture, GUI implementation, and performance demonstrations of the operational workflow.
