Case Study: FIND - Future Industrial Network Architecture (english)

Sector:

Industry

 

Motivation and project content:

Industrial manufacturing companies are facing increasingly volatile markets on a global level. Continuous innovation and flexibility are very important to address the resulting challenges. This raises the demand for an efficient, secure and simply usable network, which is one of the key requirement to support the implementation of Industrie 4.0 concepts like flexible- and self-organized networks. Highly specialised communication technologies in today’s heterogeneous industrial networks are not be able to meet these requirements.

Therefore, the development of a future-proof and easy usable network architecture is the main objective of the project. FIND aims at handling the heterogeneity of industrial network technologies by using already known technologies in a rather application controlled, easy usable and flexible way.

 

About our goals:

rt-solutions will focus on modelling holistic requirements and attributes for aspects related to information security within FIND .

We will develop a continuous representation of cyber security requirements to compare them with the available resources in the industrial network. Our goal is to handle challenges like increasing flexibility and self-organization in heterogeneous network architectures by using and enhancing risk management methods for the Industrie 4.0 context.

The implementation of selected scenarios of the FIND project act as a proof of concept. They will be integrated into the FIND demonstrator to evaluate the results in a real manufacturing plant such as the SmartFactoryOWL.

 

Consortium:

  • Robert Bosch GmbH
  • Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
  • Festo AG & Co. KG
  • Institut für industrielle Informationstechnik (inIT)
  • HMS Technology Center Ravensburg GmbH
  • Bosch Rexroth AG
  • Siemens AG
  • Technische Universität Dresden
  • Universität Passau

 

Duration and project number

01.01.2017 – 31.12.2019
nr.: 16KIS0575

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