Implementation of Industrial IoT Integration Using Node-RED and PLC on Cascade Control Level and Flow Plant

Authors

Nur Wisma Nugraha , Fitria Suryatini , Noval Lilansa , Farhan Ali Madani Farhan

DOI:

10.29303/jppipa.v11i6.11623

Published:

2025-06-25

Issue:

Vol. 11 No. 6 (2025): June

Keywords:

Cascade Control, Industrial Internet of Things (IIoT), Node-RED, PID Tuning, Programmable Logic Controller (PLC)

Research Articles

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How to Cite

Nugraha, N. W., Suryatini, F., Lilansa, N., & Farhan, F. A. M. (2025). Implementation of Industrial IoT Integration Using Node-RED and PLC on Cascade Control Level and Flow Plant. Jurnal Penelitian Pendidikan IPA, 11(6), 191–205. https://doi.org/10.29303/jppipa.v11i6.11623

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Abstract

Accurate control of liquid level and flow is essential in industrial processes to ensure efficiency and product quality. Conventional single PID control methods often suffer from steady-state errors and slow response times due to the dynamic interaction between level and flow. This research develops a cascade control system using a PLC integrated with a Node-RED based Industrial Internet of Things (IIoT) platform to overcome these limitations. The cascade control system applies two control loops, the outer loop for level control and the inner loop for flow control, with PID parameters optimized through trial-and-error method. IIoT integration enables real-time monitoring, remote control, and data logging through an interactive dashboard. Experimental results show the system is able to achieve stability with steady-state error reduced to ± 0.5 cm, faster settling time and rise time, and better disturbance resistance. Very low communication delays support real-time operation. The system offers a practical and effective solution for precise liquid level and flow control, aligned with the demands of Industry 4.0 and can be a model for educational and industrial applications.

References

Ali, M. A., Miry, A. H., & Salman, T. M. (2020). IoT based water tank level control system using PLC. 2020 International Conference on Computer Science and Software Engineering (CSASE), 7–12. https://doi.org/10.1109/CSASE48920.2020.9142067

Ardhi, S., Gunawan, T. P., Tjandra, S., Dewi, G. L., & others. (2023). Penerapan Metode Regresi Linear dalam Pengembangan Pengukuran Aliran Air pada Sensor YF-S201. Jurnal Teknik Industri, 26(01), 10–21. Retrieved from https://univ45sby.ac.id/ejournal/index.php/industri/article/view/345

Bahri, F., Hendra, A., & others. (2024). Internet of Things (IoT) implementation through Node-RED to control and monitoring induction motors. Journal of Industrial Automation and Electrical Engineering, 1(1), 90–97. Retrieved from https://shorturl.asia/m1IFX

Dewi, A. K., Darussalam, A., Pujianto, P., Hamdani, C. N., & Septiani, N. A. (2023). Prototype of cascade level and flow control system on steam drum based on IoT. Jurnal Infotel, 15(2), 188–194. https://doi.org/10.20895/infotel.v15i2.936

Embong, A. H., Asbollah, L., & Hamid, S. B. A. (2024). Empowering industrial automation labs with IoT: A case study on real-time monitoring and control of induction motors using Siemens PLC and Node-RED. Journal of Mechanical Engineering and Sciences, 10004–10016. https://doi.org/10.15282/jmes.18.2.2024.3.0790

Fadilla, Z., & Ardiawan, K. N. (2022). Metodologi Penelitian Kuantitatif. Aceh: Yayasan Penerbit Muhammad Zaini.

Guerra-Zubiaga, D., Kuts, V., Mahmood, K., Bondar, A., Nasajpour-Esfahani, N., & Otto, T. (2021). An approach to develop a digital twin for industry 4.0 systems: manufacturing automation case studies. International Journal of Computer Integrated Manufacturing, 34(9), 933–949. https://doi.org/10.1080/0951192X.2021.1946857

Hijazi, A., Andó, M., & Pödör, Z. (2024). Data losses and synchronization according to delay in PLC-based industrial automation systems. Heliyon, 10(18). Retrieved from https://www.cell.com/heliyon/fulltext/S2405-8440(24)13591-8

Jakowluk, W., & Jaszczak, S. (2022). Cascade tanks system identification for robust predictive control. Bulletin of the Polish Academy of Sciences. Technical Sciences, 70(6). Retrieved from https://bibliotekanauki.pl/articles/2173722.pdf

Jiang, P. (2021). Summary of PID control system of liquid level of a single-capacity tank. Journal of Physics: Conference Series, 1865(2), 22061. https://doi.org/10.1088/1742-6596/1865/2/022061

Khan, K. R., Haque, M. M., Alshemary, A., & AbouArkoub, A. (2020). BLDC motor-driven fluid pumping system design: An extrapolated active learning case study for electrical machines classes. IEEE Transactions on Education, 63(3), 173–182. https://doi.org/10.1109/TE.2020.2965817

Levin, A., Vorotnikov, A., & Poduraev, Y. (2021). Development of Low Cost Small 3D Scanner for Robotic Applications. Annals of DAAAM & Proceedings, 32. https://doi.org/10.2507/32nd.daaam.proceedings.xxx

Lv, X., & Li, M. (2021). Application and research of the intelligent management system based on internet of things technology in the era of big data. Mobile Information Systems, 2021(1), 6515792. https://doi.org/10.1155/2021/6515792

Możaryn, J., Bogusz, K., & Juszczyński, S. (2022). Development of PLC based fault isolation and remote IIoT monitoring of three tank system. IFAC-PapersOnLine, 55(6), 175–180. https://doi.org/10.1016/j.ifacol.2022.07.125

Nițulescu, I.-V., & Korodi, A. (2020). Supervisory control and data acquisition approach in node-RED: Application and discussions. IoT, 1(1), 5. https://doi.org/10.3390/iot1010005

Nugraha, H., Hermawan, A. D., Mulya, M. A. J., Firmansyah, I., & others. (2023). Temperature Sensor Integration into the Node-RED Platform for Transformer Monitoring. Journal of Physics: Conference Series, 2673(1), 12037. https://doi.org/10.1088/1742-6596/2673/1/012037

Omidi, S. A., Baig, M. J. A., & Iqbal, M. T. (2023). Design and implementation of node-red based open-source SCADA architecture for a hybrid power system. Energies, 16(5), 2092. https://doi.org/10.3390/en16052092

Pramanik, S., Sengupta, A., & Roy, N. (2021). PID Flow-Level Control Tuned by Genetic Algorithm and Harmony Search Algorithm. 2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI), 172–177. https://doi.org/10.1109/CMI50323.2021.9362959

Rai, R., Tiwari, M. K., Ivanov, D., & Dolgui, A. (2021). Machine learning in manufacturing and industry 4.0 applications. In International Journal of Production Research (Vol. 59, Issue 16, pp. 4773–4778). Taylor & Francis. https://doi.org/10.1080/00207543.2021.1956675

Shehu, I. A., & Wahab, N. A. (2016). Applications of MPC and PI controls for liquid level control in coupled-tank systems. 2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 119–124. https://doi.org/10.1109/I2CACIS.2016.7885300

Stojkic, Z., Bosnjak, I., Saravanja, L., & Culjak, E. (2021). Predictive Maintenance Supported By IIoT Technologies. Annals of DAAAM & Proceedings, 32. https://doi.org/10.2507/32nd.daaam.proceedings.052

Subekti, R., Hadiani, D., & Ardaneshwara, A. (2024). Optimisasi SCADA di MPS dengan FINS UDP vs Modbus TCP via Node-RED. The Indonesian Journal of Computer Science, 13(4). https://doi.org/10.33022/ijcs.v13i4.4315

Suryatini, F., Salam, A., & Natasha, S. (2024). Water Level Control in Coupled Tank System with PLC and IoT-Based PID Method. The Indonesian Journal of Computer Science, 13(4). https://doi.org/10.33022/ijcs.v13i4.4127

Thuluva, A. S., Anicic, D., Rudolph, S., & Adikari, M. (2020). Semantic Node-RED for rapid development of interoperable industrial IoT applications. Semantic Web, 11(6), 949–975. https://doi.org/10.3233/SW-200405

Uzougbo, O. I., Olanrewaju, O. A., & Kayode, A. K. (2024). Node-RED and IoT Analytics: A Real-Time Data Processing and Visualization Platform. Tech-Sphere Journal of Pure and Applied Sciences (TSJPAS), 1(1), 1–12. https://doi.org/10.5281/zenodo.13856860

Zhou, L., Pljonkin, A., & Singh, P. K. (2022). Modeling and PID control of quadrotor UAV based on machine learning. Journal of Intelligent Systems, 31(1), 1112–1122. https://doi.org/10.1515/jisys-2021-0213

Author Biographies

Nur Wisma Nugraha, Bandung Polytechnic of Manufacturing

Fitria Suryatini, Bandung Polytechnic of Manufacturing

Noval Lilansa, Bandung Polytechnic of Manufacturing

Farhan Ali Madani Farhan, Bandung Polytechnic of Manufacturing

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Copyright (c) 2025 Nur Wisma Nugraha, Fitria Suryatini, Noval Lilansa, Farhan Ali Madani Farhan

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