Description of the project
The aim of the project is to increase the economic and digital competitiveness of European bio-based industries while promoting sustainable and circular solutions. The use of state-of-the-art technologies such as machine learning and digital twins will enable continuous optimization and transparency in production processes.
In addition, the project aims to ensure interoperability with the EU's digital ecosystems and support the development of economically and socially competitive bioeconomies. A key aspect is the creation of secure data spaces that enable the sovereign exchange of information via DPPs/DTs (Digital Product Passes / Digital Twins).
The solution is highly configurable and can respond to the different offers and demands of individual stakeholders. This flexibility makes it possible to evaluate alternatives and respond appropriately. At the same time, it improves understanding of the effects of external disruptions.
Project objectives
The bi0SpaCE project aims to achieve significant results in several areas:
Development of an open software framework: The project aims to create a robust bi0SpaCE software framework that facilitates the implementation and scaling of circular economy solutions in bio-based industries. The project aims to ensure that the solutions developed are interoperable with the EU's digital ecosystems, facilitating access to a broader market and the integration of new technologies. Our contribution includes in particular:
- Intelligent, user-friendly creation of AAS-compliant DTs for bio-based processes.
- Seamless integration of process DTs into machines, sensors, and other infrastructure without programming.
- Enrichment of process DTs through advanced ML services while maintaining AAS compliance.
- Automatic generation of DPPs for bio-based products, using product descriptions and process DTs to provide real-time data for calculating the carbon footprint of products, for example.
- Onboarding of DPPs into an IDS-compliant data space with dedicated tracking and tracing services tailored to DPPs and the bio-based sector.
Our mission is to develop methods and tools that enable bio-based companies to achieve their digitalization and circular economy goals and ultimately enable sustainable end-to-end processes across the entire product life cycle.
Our contribution
Fraunhofer IOSB provides the basis for software solutions in the form of the FA³ST Ecosystem (FA³ST Ecosystem: AI-supported development and use of Asset Administration Shells (AAS)) and the EDC Extension for connection to International Data Spaces (IDS).
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB