Research Article
Open access
Published on 21 April 2025
Download pdf
Export citation

Convergence of IoT and PLC in Industrial Automation: A Systematic Review of Emerging Trends, Technical Challenges, and Prospects

Jinhua Wei *,1,
  • 1 University of Science and Technology Beijing, Beijing, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.22249

Abstract

Integrating PLCs with emerging IoT technologies for industrial automation has transformed the manufacturing ecosystems towards a smarter and data-driven one. This systematic review explores the synergistic potential of IoT's connectivity and PLCs' reliability in modern industrial settings. It analyses trends such as edge computing, AI-driven analytics and digital twins for technical challenges and proposes future directions using blockchain integration and 5G-enabled automation to support them. This review synthesizes academic literature, industry case studies and technological frameworks to outline a roadmap for resilient, efficient and adaptable industrial systems.

Keywords

Industrial Automation, IoT, PLC, Edge Computing, Cybersecurity

[1]. Folgado, F. J., Calderón, D., González, I., & Calderón, A. J. (2024). Review of Industry 4.0 from the perspective of automation and supervision systems: Definitions, architectures and recent trends. Electronics, 13(4), 782.

[2]. Xu, H., Yu, W., Griffith, D., & Golmie, N. (2018). A survey on industrial Internet of Things: A cyber-physical systems perspective. Ieee access, 6, 78238-78259.

[3]. Shafique, K., Khawaja, B. A., Sabir, F., Qazi, S., & Mustaqim, M. (2020). Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios. IEEE access, 8, 23022-23040.

[4]. Dotoli, M., Fay, A., Miśkowicz, M., & Seatzu, C. (2019). An overview of current technologies and emerging trends in factory automation. International Journal of Production Research, 57(15-16), 5047-5067.

[5]. Babayigit, B., & Abubaker, M. (2023). Industrial internet of things: A review of improvements over traditional scada systems for industrial automation. IEEE Systems Journal, 18(1), 120-133.

[6]. Chataut, R., Phoummalayvane, A., & Akl, R. (2023). Unleashing the power of IoT: A comprehensive review of IoT applications and future prospects in healthcare, agriculture, smart homes, smart cities, and industry 4.0. Sensors, 23(16), 7194.

[7]. Nechibvute, A., & Mafukidze, H. D. (2024). Integration of scada and industrial iot: Opportunities and challenges. IETE Technical Review, 41(3), 312-325.

[8]. Dhameliya, N. (2023). Revolutionizing PLC Systems with AI: A New Era of Industrial Automation. American Digits: Journal of Computing and Digital Technologies, 1(1), 33-48.

Cite this article

Wei,J. (2025). Convergence of IoT and PLC in Industrial Automation: A Systematic Review of Emerging Trends, Technical Challenges, and Prospects. Applied and Computational Engineering,150,89-94.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 3rd International Conference on Software Engineering and Machine Learning

Conference website: https://2025.confseml.org/
ISBN:978-1-80590-063-4(Print) / 978-1-80590-064-1(Online)
Conference date: 2 July 2025
Editor:Marwan Omar
Series: Applied and Computational Engineering
Volume number: Vol.150
ISSN:2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).