Project

KITOS

Künstliche Intelligenz zur dynamischen Optimierung des Netzwerkmanagements

Künstliche Intelligenz zur dynamischen Optimierung des Netzwerkmanagements

  • Duration:

The overall goal is to provide industrial networks with the necessary dynamics and methods for self-healing and self-optimization in order to generate the necessary agility and reliability that future production processes in Industry 4.0 require. TSN is used as the basis for networking. Kl algorithms are developed which support configuration tools in decision making in order to achieve a more efficient use of resources as well as higher performance configurations. For active operation, the network management is hardened against failures by means of Kl supported error detection and adaptation mechanisms.

Partners

  • Robert Bosch GmbH
  • Codesys Development GmbH
  • Deutsches Forschungszentrum für Künstliche Intelligenz DFKI GmbH (DFKI)
  • Eberhard Karls Universität Tübingen (EKUT)
  • Hilscher Gesellschaft für Systemautomation mbH
  • Bosch Rexroth AG
  • Technische Universität Dresden (TUD)
  • Hirschmann Automation and Control GmbH

Sponsors

Bundesministerium für Bildung und Forschung

16KIS1158K

Bundesministerium für Bildung und Forschung

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz