Digital Twins
Real-Time Data. Virtual Models. Actionable Intelligence.
Bridging the physical and digital worlds for advanced engineering applications at CERN.
DT Use Case at CERN’s Mechlab
CERN’s FCC-ee Mechanical Stability
- Real time prediction of the magnetic axis displacement
- Combining physics-based models with Artificial Intelligence for detection of anomalies and predictive maintenance
- Integration of remote seismic sensor data for alert predictions
Our Approach
Real-time Data from Physical Twin
Technologies We Use
Open-source tools backed by CERN IT Infrastructure and State-of-Art DAQ’s.
CERN’s MIG
CERN’s NILE
CERN’s PaaS
Turning Into Actionable Insights from Digital Twin
Our Collaborators
A joint effort from CERN’s EN-MME and IT-DA.
MBBM-VAS
Hottinger Brüel Kjaer
University of Roma La Sapienza