Project runtime: 01.02.2025 - 31.01.2028
In the traditional value chain, materials are produced and processed step by step until a finished product is created. Each process step generates and requires material, process and product data, which is typically available in different companies. Data is often only exchanged bilaterally between cooperating companies. For a comprehensive understanding of material and product behavior and life cycle assessment (LCA), it would be of immense benefit if manufacturing data and metadata were made available to all actors involved in the value chain in an interoperable and retrievable manner.
Using the example of the production of a connector, production data and LCA-relevant data are recorded in KupferDigital2. By semantically describing the processes and metadata using an ontology, the data is enriched with background information that enables machines to interpret this data. The semantic data is made available in a data room without the originator of the data losing their sovereignty over the data. The data is uniquely linked to a product by means of a material ID. Based on this data, a digital product passport is created, which can be used to trace the production route, the socio-ecological footprint and the recycling properties.
In this project, a process chain of industrial connector production is digitized with semantic data, thus laying the foundation for a more efficient and, above all, more sustainable production of the future. Based on the preliminary work of the MaterialDigital (PMD) platform and the KupferDigital project, KupferDigital2 provides the technical basis for recording the current state of knowledge of all partners involved using real, industry-relevant data along the life cycle across domains, continuously expanding it and being able to use it permanently and, above all, repeatedly. Newly developed methods for balancing, evaluation, data-based or simulative prediction and data correlation serve, among other things, the aggregation, integration and sustainable use of industry-relevant data along the entire life cycle. This project also focuses on evaluation methods in the sense of LCA and for ecological and socio-economic footprints as well as the development of a digital product passport.
