Abstract
As preparations for the Future Circular Collider (FCC) advance, new technical and organizational challenges emerge. The FCC’s highly distributed geographic nature and complex control systems pose significant obstacles to efficient development and operation. The unprecedented scale of the project, with its vast number of components and interdependent tasks, demands innovative approaches to remain effective.
Introducing new technologies and methodologies is essential to contain construction and operating costs while ensuring reliability. Virtualized PLCs provide an effective solution for managing remote physical components in an easily automated and configurable environment. Concurrently, AI agents can accelerate complex workflows, integrate cross-domain knowledge more effectively, and free experts from repetitive, low-complexity tasks.
This presentation covers two concrete developments in these areas. First, we discuss a test bed deployment of virtualized PLCs within an edge-cloud continuum architecture, demonstrating how this approach enables flexible resource allocation and improved system resilience for distributed control systems. Second, we present the development of custom tools for AI agents specifically designed for industrial control code generation, showing how these specialized capabilities can enhance productivity.
These advancements represent practical steps toward addressing the unique challenges of next-generation particle accelerator projects.
Filippo Berto Ph.D.
Software Engineer
My interests include massively distributed applications, edge-cloud infrastructures, cybersecurity and certification techniques.