ICOS

Main goals of the project
  • Main goals of the project
  • Develop a Meta OS that allows interoperability between different layers of the continuum with different devices from various manufacturers.
  • Advance measuring and predictive capabilities related to energy consumption and availability.
  • Develop a reliable zero-trust paradigm in order to securely manage the heterogeneous distribution of data and resources.
Main outputs of the project
  • Consolidated operating system unifying edge and cloud systems that is user friendly and easy to integrate
  • AI based optimisation
  • Orchestration solution
  • Zero-trust paradigm
  • Resource sharing
  • Base step for further development of specialised technological solutions
  • Protocols and standards

ICOS use cases

*Read more details on the project website.

Agriculture Operational Robotic Platform (AORP)

Methodology: Integration of Cloud-Edge processing with agricultural practices, implementation of agro robots (Agbots) as tools and sensors, optimisation of data exchange ecosystems to increase stability and efficiency.

Objective: Increased farming efficiency and scalability through continuum processing, product quality stabilisation and protection, resource reduction and optimisation through localised datacollection and self-management.

Railway Structural Alert Monitoring system (RSAM)

Methodology: Integration of cloudedge processing with railway systems, implementation of continuous monitoring sensors and data analysis, distribution of data and devices across the digital and physical continuum.

Objective: Real-time monitoring of key parameters of the railway system; Increased security and stability through alert generation and selfmaintenance; Resource optimisation and energy efficiency through predictive management.

Energy Management and Decision Support system (EMDS)

Methodology: Integration of CloudEdge processing in domestic continuum, energy consumption monitoring via smart devices and sensors, energy production management via green energy at the domestic level.

Objective: Energy consumption optimisation through flexible selfadjustments; Smart grid support through domestic-systemic harmonisation; Increased energy production via domestic green energy sources.

In-car Advanced Infotainment and Multimedia Management system (IAIMM)

Methodology: Integration of CloudEdge processing for in-car multimedia systems, deployment of edge nodes for continuum support, systemic vehicle harmonisation for network generation.

Objective: Optimisation of multimedia content distribution through network support; High-quality reception stabilisation irrespective of connectivity through localised processing; Enrichment of all multimedia functionalities by preventing interruptions and latency

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