Together with its partners, Festo is developing an architecture for flexible networking in production within the context of the FIND research project, implemented on the basis of time-sensitive networking (TSN).
Secure and efficient communication infrastructures are important prerequisites for the Industrial Internet of Things. Production machines, components and different data services have to be networked securely. For this reason, we’ve joined forces with partners in this research project to work on these fundamentals for production communication of the future:
TSN is a standardized communication technology which permits Ethernet-based real-time communication. Guarantees can be provided for time-critical applications thanks to TSN. Data packets sent via TSN are assigned to reserved bandwidths or channels in order to ensure they’re delivered on time.
As a prerequisite, each network participant must have its own internal clock. The clocks of all participants must be synchronized in order to ensure that the participants always follow the same communication cycle and carry out the required actions in sync at the right time. TSN can be used for communication in custom handling systems, for example where multiple actuators and axes have to execute synchronized motion.
Representative network architecture for future production: mutually shared infrastructure for control data and other data.
FIND stands for future industrial network architecture. As the name suggests, the goal of the project is to develop an architecture for a pioneering, user-friendly, flexible industrial network. We’re implementing integrated communication across all system levels: with standardized, open protocols which are independent of specific manufacturers.
The vision is to build a shared data network for control data and other data in the future – eliminating hierarchies in favor of more flexible network structures that are suitable for real-time-critical and non-critical communication.
In addition to Festo AG, the following partners are also involved:
The FIND project is being funded by the German Federal Ministry of Education and Research (BMBF) under funding code 16KIS0570.