Optimising data visualisation in the process control and IIoT environments

Robin Maharaj; Vipin Balyan; Mohammed Tariq Khan

doi:10.21307/ijssis-2021-022

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Optimising data visualisation in the process control and IIoT environments

International Journal on Smart Sensing and Intelligent Systems

Volume 15 (2022): Issue 1 (January 2022)

By: Robin Maharaj, Vipin Balyan and Mohammed Tariq Khan

Open Access

|Jan 2022

Abstract

In the present context of the 4th Industrial revolution, there is a growing need to get data from different data sources in a standard data format. This paper presents a solution to achieve this convergence in using IoT technology, extracting available data, and making it available to high-level systems in a standard, low latency framework. This paper presents different protocols like OPC UA, Message Queuing Telemetry Transport (MQTT), and Constrained Application Protocol(COAP) to achieve this data transportation/acquisition. It also presents an emerging Low Power Wide Area Network (LPWAN) technology, LoRa WAN, to augment the data of the process control system, explicitly extending the range of sensors to wireless data points.

References

Artuso, C. and Palladino, P. 2019. Long-term memory effects on working memory updating development. PLOS ONE 14(5): e0217697. Available at: https://doi.org/10.1371/journal.pone.0217697.
Search in Google Scholar Back to article
Azhari, S. J. and Kaabi, H. 2001. A novel data compression technique for 420 Ma current loop transmitters. International Journal of Engineering 14(1): 35–40.
Search in Google Scholar Back to article
Balyan, V. 2020. Outage probability of cognitive radio network utilizing non orthogonal multiple access. 7th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, pp. 751–755.
Search in Google Scholar Back to article
Bassi, L. 2017. Industry 4.0: Hope, hype or revolution? RTSI 2017—IEEE 3rd International Forum on Research and Technologies for Society and Industry, Conference Proceedings, doi: 10.1109/RTSI.2017.8065927.
Open DOI Search in Google Scholar Back to article
Calderón Godoy, A. J. and Pérez, I. G. 2018. Integration of sensor and actuator networks and the SCADA system to promote the migration of the legacy flexible manufacturing system towards the industry 4.0 concept. Journal of Sensor and Actuator Networks 7 (2). doi: 10.3390/jsan7020023.
Open DOI Search in Google Scholar Back to article
Cavalieri, S., Di Stefano, D., Salafia, M. G. and Scroppo, M. S. 2017. OPC UA integration into the web. Proceedings IECON 2017—43rd Annual Conference of the IEEE Industrial Electronics Society, doi: 10.1109/IECON.2017.8216590.
Open DOI Search in Google Scholar Back to article
Durkop, L., Czybik, B. and Jasperneite., J. 2015. Performance evaluation of M2M protocols over cellular networks in a lab environment. 18th International Conference on Intelligence in Next Generation Networks, ICIN 2015, pp. 70–75, doi: 10.1109/ICIN.2015.7073809.
Open DOI Search in Google Scholar Back to article
Drahos, P., Kucera, E., Haffner, O. and Klimo, I. 2018. Trends in industrial communication and OPC UA. Proceedings of the 29th International Conference on Cybernetics and Informatics, K and I 2018, doi: 10.1109/CYBERI.2018.8337560.
Open DOI Search in Google Scholar Back to article
Gupta, G. and Zyl, R. V. 2021a. Energy harvested end nodes and performance improvement of LoRa networks. International Journal on Smart Sensing and Intelligent Systems 14(1): 1–15.
Search in Google Scholar Back to article
Gupta, G. and Zyl, R. V. 2021b. NOMA-based LPWA networks. Expert Clouds And Applications. Lecture Notes in Networks and Systems Vol. 209. Springer, Singapore, pp. 523–530. Available at: https://doi.org/10.1007/978-981-16-2126-0_42.
Search in Google Scholar Back to article
Katti, B., Plociennik, C., Ruskowski, M. and Schweitzer, M. 2018. SA-OPC-UA: Introducing semantics to OPC-UA application methods. IEEE International Conference on Automation Science and Engineering, doi: 10.1109/COASE.2018.8560467.
Open DOI Search in Google Scholar Back to article
Koon, J. 2020. LoRaWAN empowers very low-power, wireless applications. Tech Idea Res., vol. 1.0.
Search in Google Scholar Back to article
Muller, M., Wings, E. and Bergmann, L. 2017. Developing open source cyber-physical systems for service-oriented architectures using OPC UA. Proceedings—2017 IEEE 15th International Conference on Industrial Informatics, INDIN 2017, doi: 10.1109/INDIN.2017.8104751.
Open DOI Search in Google Scholar Back to article
O. P. C. U. 2018. Architecture. “IoT,” June, pp. 1–48. Available at: https://opcfoundation.org/wp-content/uploads/2017/11/OPC-UA-Interoperability-For-Industrie4-and-IoT-EN.pdf.
Search in Google Scholar Back to article
Orange 2016. LoRa Device Developer Guide. p. 42 [Online]. Available at: https://partner.orange.com/wp-content/uploads/2016/04/LoRa-Device-Developer-Guide-Orange.pdf.
Search in Google Scholar Back to article
Power, L. and Kominek, D. 2013. Keys to developing an embedded UA server. Matrikon Opc, pp. 1–7. Available at: https://opcfoundation.org/wp-content/uploads/2015/03/Keys-To-Developing-an-Embedded-UA-Server_Whitepaper_EN.pdf.
Search in Google Scholar Back to article
Profanter, S., Tekat, A., Dorofeev, K., Rickert, M. and Knoll, A. 2019. OPC UA versus ROS, DDS, and MQTT: Performance evaluation of industry 4.0 protocols. Proceedings of the IEEE International Conference on Industrial Technology vol. 2019-February, doi: 10.1109/ICIT.2019.8755050.
Open DOI Search in Google Scholar Back to article
Schleipen, M., Gilani, S. S., Bischoff, T. and Pfrommer, J. 2016. OPC UA & Industrie 4.—enabling technology with high diversity and variability. Procedia CIRP vol. 57, doi: 10.1016/j.procir.2016.11.055.
Open DOI Search in Google Scholar Back to article
Silveira Rocha, M., Serpa Sestito, G., Luis Dias, A., Celso Turcato, A. and Brandao, D. 2018. Performance comparison between OPC UA and MQTT for data exchange. 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018—Proceedings, doi: 10.1109/METROI4.2018.8428342.
Open DOI Search in Google Scholar Back to article
Tao, F., Zuo, Y., Da Xu, L. and Zhang, L. 2014. IoT-Based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2014.2306397.
Open DOI Search in Google Scholar Back to article
Tel, G. 2012. Communication protocols. Introduction to Distributed Algorithms, Cambridge, pp. 74–102. Available at: https://ki.pwr.edu.pl/lemiesz/info/Tel.pdf.
Search in Google Scholar Back to article
Yongde, Z., et al. 2014. The controller development of multi-layer parking equipment based on STM32. International Journal of Smart Home 8(1): 303–310.
Search in Google Scholar Back to article
Wollschlaeger, M., Sauter, T. and Jasperneite, J. 2017. The future of industrial communication: automation networks in the era of the internet of things and industry 4.0. IEEE Industrial Electronics Magazine, doi: 10.1109/MIE.2017.2649104.
Open DOI Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.21307/ijssis-2021-022 | Journal eISSN: 1178-5608

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Language: English

Page range: 1 - 14

Submitted on: Aug 8, 2021

Published on: Jan 21, 2022

Published by: Macquarie University, Australia

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

LoRa WAN,

MQTT,

OPC UA,

COAP,

Device gateway

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2022 Robin Maharaj, Vipin Balyan, Mohammed Tariq Khan, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 15 (2022): Issue 1 (January 2022)