Experimental evaluation of 5G performance based on a digital twin of a machine tool

Abstract

The 5G mobile communication standard can potentially meet the networking requirements for different industrial use cases simultaneously due to the promised low latency, high bandwidth, and high device density while providing a high quality of service. These capabilities enable the realization of digital twins (DTs) that are based on edge computing for time- and safety-critical wireless applications. However, the investigation of the applicability of 5G for DTs in real-world manufacturing scenarios is still lacking. In this work, we have evaluated a DT based on edge-computing and 5G mobile communication using extensive experiments. We have focused on the communication technology and requirements needed to enable functionalities on edge devices. The key contribution of this paper is a comprehensive experimental study on 5G performance characteristics in an existing manufacturing system. Moreover, the influence of 5G on the functionality of the edge-based DT is evaluated and discussed. Full factorial experiments with different network configurations are designed and conducted. The performance of communication characteristics (latency, jitter) is evaluated as well as the impact on the continuity between real and digital processes. The results are also compared with the WiFi standard by experimental evaluation. At last, the limits of current 5G networks for manufacturing are discussed. • 5G-enabled digital twin that considers communication requirements is evaluated. • Edge computing is utilized to ensure the required low-latency communication. • Influence of 5G on the digital twin of the milling tool is determined. • Performance of 5G mobile communications is evaluated experimentally. • Comparison between the performance of 5G and WiFi 6E. • 5G is suitable for a digital twin of a machine tool for monitoring and control.

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