The overarching goal of aerOS is to design and build a virtualized, platform-agnostic meta operating system for the IoT edge-cloud continuum. As a solution, to be executed on any Infrastructure Element within the IoT edge-cloud continuum – hence, independent from underlying hardware and operating system(s) – aerOS will:
- Deliver common virtualized services to enable orchestration, and efficient support for frugal, explainable AI.
- Expose an API to be available anywhere and anytime (location-time independent).
- Include a set of infrastructural services and features addressing cybersecurity, trustworthiness and manageability.
aerOS will leverage European leadership in automation systems in industry (where edge resides) and pointedly prove how European industry can benefit from decentralised, platform-agnostic IoT edge-cloud continuum data-processing ecosystem, to build competitive advantages e.g., reduced time to decisions; cost and time efficient, secure, trustworthy data sharing and control; semi-autonomous action taking; agile operations; sustainable, human-centric data processing, governance, and interoperability; reduced external traffic; and improved latency.
Five industry-driven heterogeneous use cases representing:
- Industry 4.0
- Utilities (renewable energy)
- Smart agriculture
- Port transportation and logistics
- Smart buildings
Will demonstrate the value of aerOS in IoT edge-cloud continuum orchestration and highlight the value of data sharing and governance in connection with data spaces. Validation will involve real-world data, with consideration to interoperability, volume, variety, and rate. aerOS will extend and deploy sector-specific implementations for testing and evaluation of performance and business impact of proposed approaches, extending computational power from the cloud towards the edge. Also, support for AI/ML components across use cases will be explored.
Prodevelop will be actively involved in the deployment and validation of the Smart edge services for the Port Continuum pilot in the Port of Limassol (EGCTL), the largest port in Cyprus. In particular, two use cases will be will be deployed and validated in the EUROGATE container terminal: Predictive maintenance of Container Handling Equipment, and Risk prevention via computer vision in the edge, which will allow the maintenance team to take better decisions faster, and to automatically:
- Identify containers with damages.
- Check for the existence of container seals without the need of human action.