Prototipe Instrumentasi Control Automatic dengan Distributed Control System (DCS) Berbasis ESP32 pada Process Truck Loading Minyak Bumi
DOI:
https://doi.org/10.55606/jtmei.v5i3.6451Keywords:
Automatic Control, DCS, Operation, Petroleum, Truck LoadingAbstract
This study addresses small-scale crude oil truck loading systems that still rely on manual human control, which endangers the environment, equipment, and personnel. Unmonitored human error such as overfilling occurs because the flow is not observed in real time, fires may arise from crude oil exposed to ambient heat, and miscommunication frequently happens between the local operator running the process and the operator recording the loading data. The purpose of this study is to design a reliable automated control system for the crude oil truck loading operation, to implement instrumentation on that operation, and to build an actual-condition graphical HMI using Node-RED. The method used is experimental research, comprising problem-data collection, design analysis, and implementation. The monitored parameters are tank level, temperature, and crude oil flow, read by an ESP32-based controller and displayed on a local LCD panel as well as a Node-RED DCS HMI in real time. The automated control with the DCS system is equipped with protection mechanisms (overheat, low level, and overflow) that safeguard the equipment and its surroundings in the event of an operational failure. The results show that the ESP32-based automated control runs according to the actual operating design; the HC-SR04 level sensor is accurate but limited below 3 cm, the DS18B20 temperature sensor is accurate within ±1 C, while the YF-S201C flow sensor is less accurate below 1 L/min. The DCS HMI display makes it easier for operators to view the parameter history for data logging and troubleshooting analysis.
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References
American Petroleum Institute. (2021). API Standard 2350: Overfill protection for storage tanks in petroleum facilities. American Petroleum Institute.
Badan Pengatur Hilir Minyak dan Gas Bumi. (2021). Laporan Tahunan 2021. BPH Migas.
Bouraiou, A., Slimani, A., Neçaibia, A., Lachtar, S., Labed, N., Dahbi, A., Rouabhia, A., & Rahli, C. (2024). A simple platform to establish supervision, monitoring, and control using ESP32/Ethernet Shield and SCADA via industrial Modbus TCP/IP communication protocol. Algerian Journal of Renewable Energy and Sustainable Development, 6(1), 11--22.
Chaczko, Z., & Braun, R. (2017). Learning data engineering: Creating IoT apps using the Node-RED and the RPI technologies. IEEE.
Domínguez, M., González-Herbón, R., Rodríguez-Ossorio, J. R., Fuertes, J. J., Prada, M. A., & Morán, A. (2023). Development of a remote industrial laboratory for automatic control based on Node-RED. Applied Sciences, 13(4), 2453.
Đorđević, A., & Jovanović, Z. (2021). Current trends and challenges in distributed control systems -- An overview. Facta Universitatis, Series: Automatic Control and Robotics, 20(2), 123--140.
Fraden, J. (2024). Handbook of modern sensors: Physics, designs, and applications (5th ed.). Springer.
Hua, H., Wei, Z., Qin, Y., Wang, T., Li, L., & Cao, J. (2021). Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence-based methods. IET Cyber-Physical Systems: Theory and Applications, 6(2), 63--79.
International Energy Agency. (2020). Digitalization and energy efficiency in oil and gas operations. IEA.
Liu, M., Zhang, Y., Chen, H., & Li, X. (2024). Adaptive and robust control strategies for complex industrial systems: A review on closed-loop implementation. ISA Transactions, 147, 1--18.
Occupational Safety & Health Administration. (2019). Process safety management for petroleum refining and handling. U.S. Department of Labor.
Paris, I. L. B. M., Habaebi, M. H., & Zyoud, A. M. (2023). Implementation of SSL/TLS security with MQTT protocol in IoT environment. Wireless Personal Communications, 132(1), 163--182.
Prabowo, N. K., & Irwanto, I. (2023). The implementation of ESP32 microcontroller boards in science: A bibliometric analysis from 2008 to 2022. Journal of Engineering Education Transformations, 37(2), 106--123.
PT Pertamina Patra Niaga. (2021). Laporan Tahunan 2021 -- Subholding Commercial & Trading. PT Pertamina Patra Niaga.
Rahman, W., & Tarek, J. H. (2025). Modbus/DNP3 over TCP/IP implementation on TMDSCNCD28388D and ESP32 with Simulink HMI for IoT-based cybersecure electrical systems. International Journal of Business and Economics Insights, 5(3), 494--522.
Tkáčik, M., Jadlovský, J., Jadlovská, S., Jadlovská, A., & Tkáčik, T. (2024). Modeling and analysis of distributed control systems: A methodology. Processes, 12(1), 5.
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 Multidisciplinary International Journal, 1, 36--48.
Zeghida, H., Boulaiche, M., & Chikh, R. (2024). Security of MQTT protocol: A brief overview. Springer.
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