Implementation of Industrial IoT Integration Using Node-RED and PLC on Cascade Control Level and Flow Plant
DOI:
10.29303/jppipa.v11i6.11623Published:
2025-06-25Issue:
Vol. 11 No. 6 (2025): JuneKeywords:
Cascade Control, Industrial Internet of Things (IIoT), Node-RED, PID Tuning, Programmable Logic Controller (PLC)Research Articles
Downloads
How to Cite
Downloads
Metrics
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
License
Copyright (c) 2025 Nur Wisma Nugraha, Fitria Suryatini, Noval Lilansa, Farhan Ali Madani Farhan

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal'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 Jurnal Penelitian Pendidikan IPA.
- 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 The Effect of Open Access).