OPTIMA-DONES
Cyber-Physical System for Proactive Monitoring and Maintenance of Critical IFMIF-DONES Systems
- Programa TransMisiones funded by the Centro para el Desarrollo Tecnológico y de Innovación (CDTI) y la Agencia Estatal de Investigación (AEI)
- Duration: 01/01/2025 to 31/12/2027
- https://optima-dones.eu/
Project Overview:
OPTIMA-DONES is focused on the development of a Cyber-Physical System (CPS) that will carry out supervision and proactive maintenance tasks on the critical systems involved with IFMIF-DONES. This project will align with the Maintenance 5.0 paradigm, maximising the operability and service life of the fusion energy components that make up the system. These objectives will be achieved by the use of advanced techniques in Artificial Intelligence (AI), Digital Twins (DTs) and Cybersecurity.
The technologies developed in this project will rely on the creation of integrated contextual DTs with predictive capabilities, and an emphasis on active failure and security breaches, as well as the optimisation of maintenance decisions. This strategy will enable a shift from a predictive maintenance model into a proactive-cognitive one, significantly improving the management and operation of fusion energy components.
The project will finish with a demonstrator named “Operador 5.0”. This system will explore a cyber-physical and symbiotic relationship between operators and machines through the use of a cognitive and explainable AI models.
As part of the consortium, integrated by AYESA, CT, QUANTIA, SANDO, SOFTCRITS, TD, UGR, ES DONES, and UMA, NICS Lab will lead the cybersecurity research. In particular, the research team is responsible for providing an attack taxonomy based off an analysis of the state-of-the-art of threats to the safe operation of the CPS in extremely hazardous environments, as well as developing AI models for cyberattack prediction through the analysis of real-time data; the use of deception and pentesting techniques for threat prevention, and the definition of a Zero Trust model for the access control of the critical infrastructure involved in the project.
The technologies developed in this project will rely on the creation of integrated contextual DTs with predictive capabilities, and an emphasis on active failure and security breaches, as well as the optimisation of maintenance decisions. This strategy will enable a shift from a predictive maintenance model into a proactive-cognitive one, significantly improving the management and operation of fusion energy components.
The project will finish with a demonstrator named “Operador 5.0”. This system will explore a cyber-physical and symbiotic relationship between operators and machines through the use of a cognitive and explainable AI models.
As part of the consortium, integrated by AYESA, CT, QUANTIA, SANDO, SOFTCRITS, TD, UGR, ES DONES, and UMA, NICS Lab will lead the cybersecurity research. In particular, the research team is responsible for providing an attack taxonomy based off an analysis of the state-of-the-art of threats to the safe operation of the CPS in extremely hazardous environments, as well as developing AI models for cyberattack prediction through the analysis of real-time data; the use of deception and pentesting techniques for threat prevention, and the definition of a Zero Trust model for the access control of the critical infrastructure involved in the project.
