Speaker
Description
Abstract: The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose neutrino experiment featuring the world's largest liquid scintillator detector. With a 20 kton target mass instrumented by over 17k 20-inch and 25.6k 3-inch photomultiplier tubes, this sophisticated apparatus enables unprecedented precision in neutrino measurements. To ensure stable operation of this complex system, a robust and scalable distributed Detector Control System (DCS) has been implemented. The core acquisition software for subsystem IOCs (ASIOCs), developed using EPICS and Java, employs distributed algorithms for data partitioning and parallel collection. This architecture efficiently handles the enormous data flow from approximately 40 million channels, storing it in a centralized database. Deployed on the Cloud Fusion Platform (CFP), the system leverages its capabilities in large-scale workload deployment and distributed network storage to address the scaling challenge. After 10 months of stable operation, the system has demonstrated the reliability, robustness, and scalability required for JUNO's long-term data-taking campaign. This paper details the architecture design and functional implementation of the distributed control system, presents the test results on CFP, and discusses potential upgrades with AI capabilities for future enhancements.
| Minioral | Yes |
|---|---|
| IEEE Member | Yes |
| Are you a student? | No |