Feasibility Study on Virtual Process Controllers as Basis for Future Industrial Automation Systems

Industry 4.0 offers many possibilities for creating highly efficient and flexible manufacturing. To create such advantages, highly automated and thus digitized processes and systems are required. Here, most technologies known from the office floor are basically suitable for these tasks, but cannot meet the high demands of industrial use cases. Therefore, they cannot replace industrial technologies and devices that have performed well over decades “out of the box”. For this reason, many technologies known from the office floor are being investigated and adapted for industrial environments. An important task is the virtualization of process controls, as more and more devices use computation offloading, e.g. due to limited resources. In this paper we extend the work on our novel architecture that enables numerous use cases and meets industrial requirements by virtualizing process controllers. In addition, a testbed based on a factory scenario is proposed to evaluate the most important features of the presented architecture.

[1]  Philippe Kruchten,et al.  The 4+1 View Model of Architecture , 1995, IEEE Softw..

[2]  Stefan Hauck-Stattelmann,et al.  Container-based architecture for flexible industrial control applications , 2018, J. Syst. Archit..

[3]  Ramakrishnan Rajamony,et al.  An updated performance comparison of virtual machines and Linux containers , 2015, 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).

[4]  John L. Messenger,et al.  Time-Sensitive Networking: An Introduction , 2018, IEEE Communications Standards Magazine.

[5]  Ludwig Leurs,et al.  Time Sensitive Networking , 2016, atp magazin.

[6]  Alasdair Gilchrist Industry 4.0 , 2016, Apress.

[7]  Jürgen Jasperneite,et al.  Computer Communication Within Industrial Distributed Environment—a Survey , 2013, IEEE Transactions on Industrial Informatics.

[8]  Alexander Mildner,et al.  Time Sensitive Networking for Wireless Networks-A State of the Art Analysis , 2019 .

[9]  Haitham Elfaham,et al.  Alternatives for Flexible Deployment Architectures in Industrial Automation Systems , 2018, 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA).

[10]  Rakash SivaSiva Ganesan,et al.  Reliable and Deterministic Mobile Communications for Industry 4.0: Key Challenges and Solutions for the Integration of the 3GPP 5G System with IEEE , 2019 .

[11]  Dirk Wübben,et al.  5G as Enabler for Industrie 4.0 Use Cases: Challenges and Concepts , 2018, 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA).

[12]  Julius Pfrommer,et al.  Open Source OPC UA PubSub Over TSN for Realtime Industrial Communication , 2018, 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA).

[13]  Hans D. Schotten,et al.  Introduction of an Architecture for Flexible Future Process Control Systems as Enabler for Industry 4.0 , 2020, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).

[14]  Henning Trsek,et al.  Control-as-a-service from the cloud: A case study for using virtualized PLCs , 2014, 2014 10th IEEE Workshop on Factory Communication Systems (WFCS 2014).

[15]  Carsten Franke,et al.  OS-level virtualization for industrial automation systems: are we there yet? , 2016, SAC.

[16]  Andreas Mäder,et al.  Device-Centric Energy Optimization for Edge Cloud Offloading , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[17]  Hans D. Schotten,et al.  Integration of 5G with TSN as Prerequisite for a Highly Flexible Future Industrial Automation: Time Synchronization based on IEEE 802.1AS , 2020, IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society.

[18]  Khaled Ben Letaief,et al.  Mobile Edge Computing: Survey and Research Outlook , 2017, ArXiv.

[19]  Boris Bellalta,et al.  Time-Sensitive Networking in IEEE 802.11be: On the Way to Low-Latency WiFi 7 , 2019, Sensors.

[20]  Henning Trsek,et al.  Clock Synchronization Over IEEE 802.11—A Survey of Methodologies and Protocols , 2017, IEEE Transactions on Industrial Informatics.

[21]  Hans D. Schotten,et al.  Application of Virtualization Technologies in Novel Industrial Automation: Catalyst or Show-Stopper? , 2020, ArXiv.

[22]  Juergen Jasperneite,et al.  The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0 , 2017, IEEE Industrial Electronics Magazine.