Design and Implementation of Multifunctional Smart Fish Tank Control System based on Water Quality Management

Main Article Content

Li Fei
Suchada Sitjongsataporn

Abstract

This research is aiming to design and implement a multifunctional smart fish tank system based on ESP32, which solves the shortcomings of traditional fish tanks in environmental stability, automation management, and emergency response. The objectives consist of three parts as 1) Enhance the intelligence level of fish tank management through sensors and remote monitoring technology. 2) Develop mobile applications to enable users to monitor and control the fish tank environment in real-time system. Real time monitoring of water quality parameters using sensors, collecting data through ESP32 and transmitting it to the Alibaba Cloud IoT platform. The system has the automatic water change system, replenishment, feeding, and constant temperature control functions, which is equipped with a backup power supply to ensure power outage endurance. Tests and results have shown that the proposed system can work stably and reliably, and all functions have achieved the research objectives, significantly improving the intelligence level of fish tank management.

Article Details

How to Cite
Fei, L., & Sitjongsataporn, S. (2026). Design and Implementation of Multifunctional Smart Fish Tank Control System based on Water Quality Management . International Electrical Engineering Transactions, 11(2). retrieved from https://ph04.tci-thaijo.org/index.php/IEET/article/view/11642
Section
Research article

References

Theagarajan P., Padmanaban B., Palanisamy K., Raja P. and Poomagan P, “Development of an Automated IoT-based Fish Tank Maintenance Assistive System”, Proceedings of International Conference on Smart Computing and Control Systems (ICICCS), Madurai, India, pp. 1-5, 2023.

Feng, H., Hui L. (2024). Design of a Smart Fish Tank Control System Based on Mobile Remote Control, Computer Knowledge and Technology, 20(18), 40-42.

Palconit, M. G. B., et al. (2021). Development of IoT-based Fish Tank Monitoring System, Proceedings of IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Manila, Philippines, pp. 1-6.

Zhihao, H. and Zhiqiang, S. (2023). Design and Implementation of Smart fish tank Based on STM32, Microprocessor, 44 (06), 46-49.G. O. Young, “Synthetic structure of industrial plastics (Book style with paper title and editor),” in Plastics, 2nd ed. vol. 3, J. Peters, Ed. New York: McGraw-Hill, 1964, pp. 15–64.

ESPRESSIP. (2024). ESP32-S3-WROOM-1, ESP32-S3-WROOM-1U: Datasheet version 1.4, https://www.espressif.com/sites/default/files/documentation/esp32-s3-wroom-1_wroom-1u_datasheet_en.pdf.

DFROBOT. (2017). Turbidity sensor SKU: SE0189, https://media.digikey.com/pdf/data%20sheets/dfrobot%20pdfs/sen0189_web.pdf

Huang, Y. and Simon, P. K. (2025). Artificial intelligence of things (AIoT) advances in aquaculture: A review. Processes, 13(1), 73. https://doi.org/10.3390/pr13010073

Wu Y., Huang, H., Zou, T., Ren X. and Gerada C. (2024). Design of a 1200Nm High Torque Density In-Wheel Magnetic Geared Motor for Electrical Vehicles, Proceedings of IEEE Vehicle Power and Propulsion Conference (VPPC), Washington, DC, USA, pp. 1-6.