In "DIBICHAIN", decentralized data storage possibilities are being investigated. The focus is on the collection of product life cycle data in order to make the product development process fair, secure and economical. The basis is the block chain model, in which data is stored in a decentralized manner and without sovereign rights. However, current block chain models are usually too slow to scale to large data volumes. This is where the research in the "DIBICHAIN" project starts..
"DIBICHAIN" aims to investigate the application of blockchain technology for the digital representation of product cycles in contrast to other distributed ledger technologies (DLT). DLT, i.e. distributed data storage, is a novel technology for storing data securely and transparently for many users.
First of all, the main differences between the individual DLTs will be highlighted in order to subsequently evaluate the suitability of the individual technologies for the selected case study. The aim is to deepen the knowledge base for the application of a block chain for a circular economy in order to enable further and more in-depth research projects that will open up the full potential for DLT in this context. A software demonstrator is to be developed, which contains the following application scenarios using the case study of the "Bionic Partition":
- (Back-)tracing of selected materials, from the extraction of raw materials to their return to material cycles.
- Ensuring compliance with social and ecological standards of the entire product life cycle.
- Blockchain for integrated life cycle analyses and for use as a basis (data backbone) for sustainability driven design applications.
- Clear identification and traceability of products of the entire product life cycle.
Innovations in decentralized data storage
Traditional data management currently works via centralized servers. If a user uploads an image to his social media page, this image is stored by a centralized server at a location usually unknown to the user. If the user now wants to delete his image, he must trust the server provider not only to make the data unreachable, but also to actually delete it from the server. Since the modern world and also the so-called Internet of Things would no longer function without server data storage, it is almost impossible to circumvent this completely. Decentralized storage, i.e. distributed over many individual users instead of on a single server, would be one approach to solve the problems mentioned above.
The potential of DLT can currently only be guessed at. The application of DLT would be a refinement of the not yet fully explored "Web 3.0". The project as a whole is being worked on according to the waterfall model, while the software development is carried out using the so-called scrum method. Scrum is an agile project management method, which is primarily used in software development.
The innovation team
The five participating companies each contribute their own expertise to the project, some of which has been acquired over many years, in order to achieve the best possible results. This knowledge includes classical software development, blockchains, recycling management, ecology and product development. The project is divided into five work packages. The administrative part is followed by focus groups, analyses and finally the development of the software and its evaluation.
The goal of the project partners Airbus, Altran, Blockchain Research Lab, Chainstep, Circular Tree, iPoint is not only to highlight the differences of current DLTs, but also to design a new technology that can be evaluated in a final application scenario, the software demonstrator. Thus, "DIBICHAIN" aims to develop a technology that can be used by companies worldwide for modern, decentralized data storage. Nevertheless, private individuals also benefit from data security and distributed sovereign rights.
Project sheet - in German (August 2019)
The project sheet provides a clear overview of the research project.
Contribution to the ReziProK Kick-off event in December 2019
Presentation - in German (Dezember 2019)