Demonstrators

This use case defined and explained the product's life cycle, from raw material extraction to disposal (recycling, landfilling, incineration), and collected and evaluated product inputs and outputs, including resource consumption, emissions, costs, and social consequences.

This use case involves field measurements to characterise additive manufacturing-related airborne particle number concentration (PNC).

This use case intends to demonstrate the semantic representation of technical documentation across Halcor's whole value chain in order to achieve data harmonisation, interoperability, and interconnectivity.

This use case developed a working prototype of the iiRDS packages for EDGE devices.

The main goal of this use case is to extend and improve the VIMMP (Virtual Materials Marketplace Project) Ontologies which are in the core of the VIMMP platform that aims to support interoperability between different services and marketplaces in NMBP domains.

For additive or compound discovery in the food processing or agri-science industries, this use case created a proof-of-concept knowledge graph.

This use case aims to standardise maintenance terminology, focusing on technical defective diagnosis and employing service information flows and repair records.

This use case aims to measure various feedstocks and establish correlations with the quality of other feedstocks, as well as with the quality of the components produced from them.

This use case created a semantic data integration platform to monitor human operators' safety and well-being throughout operations. IoT sensors send their measurements to (a) wearables (inertial measurement units, i.e., accelerometers and gyroscopes) for motion analysis and body tracking, and (b) computer vision components for operator posture estimation from static cameras.

A virtual experiment platform for sustainable materials and product development created by SCIENOMICS. Materials and process simulations are used in these virtual experiments. This use case shows how domain ontologies may be used to create value-added workflows and a lubricant designer that meets materials and use limitations.