Abstract
The need to exchange more data in industry is growing. Automation requires more and more data to adapt technology to industrial needs correctly. This is visible in both industry (Factory 4.0) and in the Internet of Things (IoT). All these data are produced, transferred, processed and stored for further use. An affordable communication system that permits all of the necessary operations to be performed quickly and reliably is needed. One of the proposals is OPC UA. Unfortunately, there are many situations in which OPC UA is not efficient for various reasons. One of them is the lack of real-time communication in OPC UA. Another situation that is not suited for OPC UA is the setup of the server and incoming data.
In this paper, the authors will try to present some of the limitations and propose ways in which to improve the time parameters of OPC UA systems in practical applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
ISA95. https://opcfoundation.org/markets-collaboration/isa-95/
Industrie 4.0 Communication Guideline. https://industrie40.vdma.org/documents/4214230/20743172/Leitfaden_OPC_UA_Englisch_1506415735965.pdf/a2181ec7-a325-44c0-99d2-7332480de281
Zezulka, F., Marcon, P., Bradac, Z., Arm, J., Benesl, T., Vesely, I.: Communication systems for industry 4.0 and the IIoT. IFAC-PapersOnLine 51(6), 150–155 (2018)
Haskamp, H., Meyer, M., Möllmann, R., Orth, F., Colombo, A.W.: Benchmarking of existing OPC UA implementations for industrie 4.0-compliant digitalization solutions. In: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), pp. 589–594. IEEE (2017)
Industrie 4.0. https://www.plattform-i40.de/PI40/Redaktion/EN/Downloads/Publikation/criteria-industrie-40-products.pdf?__blob=publicationFile&v=5
Profanter, S., Tekat, A., Dorofeev, K., Rickert, M., Knoll, A.: OPC UA versus ROS, DDS, and MQTT: performance evaluation of industry 4.0 protocols. In: Proceedings of the IEEE International Conference on Industrial Technology (ICIT) (2019)
Fojcik, M., Folkert, K.: Introduction to OPC UA performance. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2012. CCIS, vol. 291, pp. 261–270. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31217-5_28
Usländer, T., Epple, U.: Reference model of Industrie 4.0 service architectures. at-Automatisierungstechnik 63(10), 858–866 (2015)
OPC Foundation. https://opcfoundation.org/about/opc-technologies/opc-ua/opcua-roadmap/
Bruckner, D., et al.: OPC UA TSN-A new solution for industrial communication. In: B&R Industrial Automation, Schneider Electric, ABB Automation Products, TTTech Computertechnik, General Electric Company, Huawei Technologies, Fraunhofer IOSB-INA, Phoenix Contact Electronics, Intel Corporation, Bosch Rexroth, Cisco Systems, Hirschmann Automation and Control, Moxa, Kalycito Infotech (2018)
OPC Foundation. https://opcfoundation.org/developer-tools/specifications-unified-architecture
OPC Foundation. https://opcfoundation.org/developer-tools/specifications-unified-architecture/part-14-pubsub/
Fojcik, M., Cupek, R., Ziebinski, A., Sande, O., Fojcik, M.K.: Quality of service in real-time OPC UA applications. In: Nguyen, N.T., Chbeir, R., Exposito, E., Aniorte, P., Trawiński, B. (eds.) ICCCI 2019. LNAI, vol. 11684, pp. 239–248. Springer, Heidelberger (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Fojcik, M. et al. (2019). Some Solutions for Improving OPC UA Performance. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-28374-2_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-28373-5
Online ISBN: 978-3-030-28374-2
eBook Packages: Computer ScienceComputer Science (R0)