Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

Filters
Reset filters

Settings
Now showing 1 - 2 of 2
  • Publication
    Time-Sensitive Networking over Metropolitan Area Networks for Remote Industrial Control
    ( 2021)
    Tschöke, Simon
    ;
    Lynker, Frederic
    ;
    Buhr, Hauke
    ;
    Schreiner, Florian
    ;
    Willner, Alexander
    ;
    Vick, Axel
    ;
    Chemnitz, Moritz
    The benefits of the currently evolving IEEE Time-Sensitive Networking (TSN) standard have already been globally recognized. Whereas the application of TSN in a LAN is currently widely and globally tested, TSN in a Metropolitan Area Network (MAN) has not been a major focus until now. The possible benefits of utilizing co-located Edge Clouds in order to support multiple urban production sites with industrial realtime applications open a wide range of new business models. Therefore, we have analyzed the feasibility of transparently using PROFINET over TSN via a Dense Wavelength Division Multiplex (DWDM) link, where a machine park is controlled remotely by an Edge-based virtual Programmable Logic Controller (vPLC). As a result, we are able to setup a TSN connection over a MAN with a one-way delay of about 156.5 J.ms and a jitter of about 12 ns. This work can be extended to allow for dynamically provisioned TSN flows and multi-path Frame Replication and Elimination (FRER) for distributed hard real-time machine control and adoption to Ultra-Reliable Low-Latency Communication (URLLC) 5G campus networks.
  • Publication
    Cognitive Edge for Factory
    ( 2019)
    Lambrecht, Jens
    ;
    Steffens, Ernst Joachim
    ;
    Geitz, Marc
    ;
    Vick, Axel
    ;
    Funk, Eugen
    ;
    Steigerwald, Wolfgang
    Mobile autonomous transport systems are a crucial part of flexible factory logistics enabling an adaptable industrial production. Whereas connectivity of these mobile robots is still mostly covered through Wifi, applicators suffer from interferences and unreliableness due to the harsh environmental conditions. We present a case study using 4G campus networks applying network slicing technology and edge computing in order to realize a distributed control scenario. Control algorithms are offloaded to the edge following a navigation as a service approach. Basic safety functions remain onboard while self-localization and mapping as well as motion planning run on either a factory edge, a nearby edge or on a public cloud. We present an evaluation of the overall architecture and focus on effects of offloading control functions towards the edge. Finally, we provide an outlook towards the usage of 5G.