Information Discovery: Exploring Data-Driven Decision-Making for Improving the Control of CERN’s Accelerator Complex

by Antonio Romero Marin (CERN)

Monday 8 Jun 2015, 18:30 → 19:15 Europe/Zurich

Zurich

CERN’s particle accelerator infrastructure is comprehensively heterogeneous. A number of critical subsystems, which represent cutting-edge technology in several engineering fields, need to be considered: cryogenics, power converters, magnet protection, etc. The historical monitoring and control data derived from these systems has persisted mainly using Oracle database technologies, but also other sorts of data formats such as JSOM, XML and plain text files. All of these must be integrated and combined in order to provide a full picture of the overall status of the accelerator complex. Therefore, a key challenge is to facilitate easy access to, flexible interaction with, and dynamic visualization of large volumes of heterogeneous data from different sources and domains. 

In this presentation Antonio shares his experience with Data Discovery. This will feature practical examples relating to:

• Future possibilities for improving the control and monitoring of CERN’s accelerator complex

• Optimization results for accelerator operations

• Demo of the implemented solution

Slides Swiss_Group.pdf