Now showing 1 - 2 of 2
  • Publication
    Unknown
    Study of a Safe and Secure Ecosystem based on IO-Link Wireless and a 5G Campus Network
    Wireless networks support highly flexible manufacturing processes and are recognized as a crucial pillar towards the digitization of industrial production (automation). While 5G is currently being marketed as universal solution for future wireless communication, high density of sensor and actuator nodes in industrial manufacturing environments with respect to latency times and reliability, still represents an enormous technical challenge. In the field of production automation standards, IO-Link Wireless (IOLW) is already in operation offering energy-efficient and cost-effective solutions, even with battery-powered smart sensor devices. In this paper, the deterministic ultra-reliable low-latency communication (URLLC) features of 5G are combined with the outstanding performance characteristics of IOLW with respect to robustness and latency to realize even highly demanding safety applications in industrial environments.
  • Publication
    Unknown
    Coexistence Management Methods and Tools for IO-Link Wireless
    Wireless communication systems are enabler technologies for modern and flexible production concepts, essentially within the Industry 4.0 directive. For reliable low-latency wireless communication, the availability of frequency spectrum is a general prerequisite. IO-Link Wireless (IOLW) is a vendor-independent wireless communication standard, which operates in the 2.4 GHz ISM (Industrial, Scientific, Medical) band and especially addresses the requirements of industrial discrete manufacturing processes. The 2.4 GHz ISM band is used by various other radio systems, making coexistence management a fundamental challenge. Blacklisting and frequency hopping schemes are specified to increase the IOLWcoexistence behavior. In this paper coexistence management methods and tools, which can be employed for IOLW are presented. These tools can be used to enhance the coexistence behavior and thus the reliability, and at the same time, reduce energy consumption. After an introduction and a detailed presentation of IOLW, a software tool is presented that allows to implement an intelligent frequency management by adapting blacklists to the respective coexistence and boundary conditions. This is based on generic measurements, which are also shown in this paper. Finally, a conclusion and an outlook for further integration into an overall system are given.