Capabilities of 4G SCADA systems in Industry 4.0-scenarios Michael Gundall, Jörg Schneider, Hans D. Schotten 23. ITG Fachtagung Mobilkommunikation 16. Mai 2018
Contents Motivation Prevailing Communication in Industry Mobile Radio Communication in Industry 4.0 Testbed Evaluation Conclusion and Outlook 5/15/2018 2
Motivation: Emerging Use Cases Additive sensing Resource Offloading / Cloud offloading Integration of brownfield facilities Local Control Mobile Robotics Image Source:[3] Migration Remote Control Condition Monitoring Image Source:[2] Image Source:[3] Image Source:[4] 5/15/2018 [1] TACNET 4.0: http://www.tacnet40.com.et40.com [2] http://ntraft.com/greenfield-research-vs-greenfield-development/. [3] Nokia Solutions and Networks Management International GmbH [4] Bosch Rexroth: https://www.pinterest.com/windpowerengg/wind-turbine-maintenance/. 3
Motivation: Emerging Use Cases Additive sensing Resource Offloading / Cloud offloading Integration of brownfield facilities Local Control Mobile Robotics Image Source:[3] Migration Remote Control Condition Monitoring Image Source:[2] Image Source:[3] Image Source:[4] 5/15/2018 [1] TACNET 4.0: http://www.tacnet40.com.et40.com [2] http://ntraft.com/greenfield-research-vs-greenfield-development/. [3] Nokia Solutions and Networks Management International GmbH [4] Bosch Rexroth: https://www.pinterest.com/windpowerengg/wind-turbine-maintenance/. 4
Prevailing Communication in Industry Automation pyramid Heterogeneity increases in lower levels Heterogeneity is based on different requirements of level and application Real-time classes [3] for classifying Industrial Ethernet protocols Real-time class A: t cycle 100 ms Real-time class B: t cycle 10 ms Real-time class C: t cycle 1 ms Image Source: [4] t cycle = 2 t E2E Latency(Application) [3] M. Wollschlaeger, T. Sauter, and J. Jasperneite, The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0, in IEEE Industrial Electronics Magazine, March 2017. [4] C. Klettner, T. Tauchnitz, U. Epple, L. Nothdurft, C. Diedrich, T. Schr oder, D. Goßmann, S. Banerjee, M. Krauß, C. Latrou, and L. Urbas,, Namur Open Architecture, Mar. 2017. 5/15/2018 5
Prevailing Communication in Industry Automation pyramid: SCADA-Level Monitoring HMI Real-time class A or less Exchange of relevant I/O values Heterogeneity of possible protocols forces homogeneity of devices IP-based IE protocols Real-time class A: t cycle 100 ms Real-time class B: t cycle 10 ms Real-time class C: t cycle 1 ms Image Source: [4] [3] M. Wollschlaeger, T. Sauter, and J. Jasperneite, The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0, in IEEE Industrial Electronics Magazine, March 2017. [4] C. Klettner, T. Tauchnitz, U. Epple, L. Nothdurft, C. Diedrich, T. Schr oder, D. Goßmann, S. Banerjee, M. Krauß, C. Latrou, and L. Urbas,, Namur Open Architecture, Mar. 2017. 5/15/2018 6
Mobile Radio Communication in Industry 4.0 OPC Unified Architecture Protocol Services / Message exchange types Attribute Service Set Read Service Write Service Monitored Item and Subscription Service Set Create Subscription Service Publish Service Image Source: [5] [5] W. Mahnke, S.H. Leitner S.H., and M. Damm, OPC Unfied Architecture, Springer Berlin Heidelberg, 2009. 5/15/2018 7
Mobile Radio Communication in Industry 4.0 5 th Generation Wireless Communication System Necessity of mobile radio communication in Industry 4.0 scenarios by increasing wireless use cases 5G concepts: Network slicing guarantees specified QoS requirements Private networks / virtual private networks Mobile edge computing LTE air interface is integrated in 5G Check, if LTE air interface is able to fulfil requirements of SCADA applications 5/15/2018 8
Testbed - Components UE 1 (HMI): Siemens TP 700 Comfort UE 2 (HMI): Android Tablet UE 3 (PLC 1): Siemens S7-1512F UE 4 (PLC 2): Siemens S7-314C RAN: Intel NUC + USRP EPC: Intel NUC Factory-Cloud/MEC: Intel NUC LTE implementation: openairinterface [6] Virtualization: Docker [7] [6] EURECOM: http://www.eurecom.fr. [7] Docker Inc: http://www.docker.com. 5/15/2018 9
Evaluation Benchmarking of relevant KPIs: E2E-latency All Devices have integrated echo servers Usage of Ping Request to measure the E2E-Latency: Accuracy/Resolution of 1ms: sufficient in this case t RTT = 2 t E2E Latency Bit rate Measurement via open source software: iperf3 [8] Ethernet WLAN LTE E2E-Latency [ms] <0.5 1.5 12.2 Bit rate [Mbit/s] 904.5 14.6 8.3 [8] ESnet/Lawrence Berkeley National Laboratory: https://iperf.fr/ 5/15/2018 10
Application A Comm. Interface Comm. Interface Application B Evaluation Identification of the cycle time: Use of OPC UA Read Service t start : Read Request Message t stop : Read Response Message t cycle = t stop t start Communication Service Measurement of 1000 iterations Ethernet WLAN LTE Messages 5/15/2018 11
Evaluation Identification of the cycle time: results Ethernet WLAN LTE Ethernet WLAN LTE Min [ms] 22.0 22.9 36.0 Max [ms] 30.9 74.3 62.3 Avg [ms] 25.2 27.1 48.4 5/15/2018 12
Evaluation Identification of the cycle time: results Ethernet WLAN LTE E2E-Latency [ms] <0.5 1.5 12.2 Bit rate [Mbit/s] 904.5 14.6 8.3 Ethernet WLAN LTE Min [ms] 22.0 22.9 36.0 Max [ms] 30.9 74.3 62.3 Avg [ms] 25.2 27.1 48.4 5/15/2018 13
Evaluation Testbed characteristics and performance estimation Read Service Read Request Message Read Response Message 12 I/O values per Read Message Update interval: 100 ms (real-time class A) Message... Sensor 1 Sensor 2 Sensor N Ethernet WLAN LTE I/O values 142.212 2207 1255 5/15/2018 14
Conclusion and Outlook OPC UA protocol enables platform independence LTE air interface fulfils requirements of SCADA application deployed in a realistic testbed Cycle time Bit rate Determinism Necessity of 5G concepts for industry acceptance Private networks Network slicing Mobile edge computing 5/15/2018 15
Thank your for your attention! Any Questions? Michael.Gundall@dfki.de 5/15/2018 16