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Gustavo Barros, Maximilian Bega, Daniel Gorsek und Bernd Kuhlenkötter vom LPS, Ruhr-Universität Bochum / red,

5G in the industrial IoT

The Chair of Production Systems at the Ruhr University Bochum LPS is researching industrial applications with a local 5G network in the context of Industry 4.0. In order to carry out these studies, architecture concepts must be created and the systems defined based on the industrial IoT concept. This concept refers to the networking of industrial devices, sensors and machines to monitor, control and optimize production processes.

The five levels of the 5G IIoT reference architecture. © LPS

The Industrial Internet of Things (IIoT) improves the effectiveness of manufacturing processes through data collection, processing and intelligent decision making. It offers automated production with minimal human intervention and benefits such as improved accessibility, performance, scalability and cost savings. IIoT is a sub-category of the Internet of Things and requires higher connectivity as well as specific requirements for reliability, latency, speed, flexibility and secure communication.

A reference architecture that takes into account the interaction of 5G and IIoT comprises five levels: Sensor level, network level, middleware level, application level and business level. In an IIoT system, sensors and actuators collect data that is transmitted via various communication technologies and processed in the middleware layer before being used for various applications in the application layer. The business layer manages the entire system and requires the development of better business models.

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Schematic concept for the application of a 5G network in the context of production. © LPS

Compared to previous network generations, 5G technology offers improved wireless connectivity and expanded capacities for machine communication and the Internet of Things. 5G supports three communication profiles: Enhanced Mobile Broadband (eMBB), Massive-Type Communication (MTC) and Ultra-Reliable Low-Latency Communication (URLLC), which offer high data rates, ubiquitous connectivity and reliability when running applications. In the manufacturing industry, 5G enables a smart, data-driven production environment with powerful connectivity.

The URLLC and eMBB application profiles provide the basis for the following 5G IIoT technologies:

- Network Function Virtualization (NFV) enables the creation of virtual versions of network hardware that are easier to manage and update. It replaces dedicated hardware with off-the-shelf servers, making networks more agile, robust and cost-effective.

- With Massive Multiple-Input Multiple-Output (MIMO), several antennas and transmitters are used on the receiver side. This improves the data throughput, increases the maximum number of end devices in an area and increases the range of the system by superimposing the signals.

- New Radio Frequency (5G NR) is an access technology that operates in a range of low, medium and high band frequencies from below 1 GHz to 24+ GHz. 5G NR offers a function to provide the necessary bandwidth in the system to enable very fast data transmissions.

- Mobile Edge Computing (MoEC): This technology is seen as an alternative to the current centralized cloud as it provides resources close to edge IIoT devices. MoEC aims to reduce network congestion and speed up response times.

- Non-Orthogonal Multiple Access (NOMA) enables high spectral efficiency with limited spectrum. Simultaneous transmission of data from different sensors on the same resource block is possible. Furthermore, interference is reduced and spectrum utilization is increased.

Best practice in the context of production

The interaction of IIoT assets using 5G is being tested in the Learning and Research Factory of the Chair of Production Systems. For time-critical applications and information processing on the store floor in particular, 5G offers great potential in terms of connectivity, latency, transmission speed and quality, which emerge from the 5G application profiles URLLC, eMBB and mMTC.

To evaluate a 5G network in such a scenario, store floor assets are connected via a 5G wireless network according to the reference architecture model. These include various programmable logic controllers that monitor sensors and actuators. These are equipped with a 5G module for integration into the network and configured according to its communication protocols. Communication between the systems takes place via the 5G base station, which is connected to the OPC UA server and the SQL database via LAN cable. At the middleware level, the data is consolidated in this database and further processed at the application level by a Manufacturing Execution System (MES) and other applications for visualization purposes.

Furthermore, mobile and airborne robotics applications with 5G are already being implemented in the learning and research factory. In tests with ICMP packets, latencies of 10 to 15 milliseconds and data transfer rates of 300 Mbit per second in the downlink and 130 Mbit per second in the uplink are achieved, which is satisfactory for this type of application. However, the latency time for applications with programmable logic controllers should be as low as possible in order to be able to compete with other means of communication.

Gustavo Barros, Maximilian Bega, Daniel Gorsek and Bernd Kuhlenkötter from LPS, Ruhr-Universität Bochum/ red

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