Faculty of Informatics / Mathematics

Maschine tool with GAIA-X Logo
HTW Dresden/ Robert Ringel

Project Fed-X-Pro

Motivation

In production technology, enormous amounts of data are generated every second and processed internally in the producing machines. This data contains valuable information about the current condition of the machine, tool and product and could increase the value-added potential of the machine and associated services through targeted evaluation. In practice, however, this data has so far neither been comprehensively evaluated nor made available digitally for downstream applications, whether internal or external to the company. The reasons for this are, on the one hand, the high demands of data acquisition and provision on the machine-related hardware and software. On the other hand, the investments in the digital infrastructure are associated with still unclear amortisation for the customers as well as with risks for intellectual property and know-how. At the same time, although the manufacturers of the machines and their components have the necessary know-how for the design of data-driven applications, they lack access to the data of their products in ongoing operation at the customers. With GAIA-X, a framework has emerged in which data-driven applications can be realised while respecting data protection and data sovereignty. In the Fed-X-Pro project, the cross-domain and cross-company data infrastructure of GAIA-X is used to realise universally applicable applications for increasing value in production technology.

 

Practice partner

  • Fraunhofer Institute for Machine Tools and Forming Technology IWU (Project Coordination)
  • VPD Vacuum and Precision Parts Manufacturing Dresden GmbH
  • GROB-WERKE GmbH & Co. KG
  • Gühring KG
  • UKM Technologies GmbH
  • Katulu GmbH
  • Simplifier AG

Contact

Dipl.-Wirt.-Inf. (FH) Paul Patolla

Research Staff

Dipl.-Wirt.-Inf. (FH) Paul Patolla

M.Sc. Martin Schmidt

Research Staff

M.Sc. Martin Schmidt

Dipl.-Inf. Stefan Vogt

Dipl.-Inf. Stefan Vogt

Dipl.-Inf. (FH) Eugen Lofing

Person

Promotion

Project duration

October 2022 - December 2024