A MULTI‑MODE INTELLIGENT AQUARIUM MONITORING SYSTEM WITH IOT (INTERNET OF THINGS) REMOTE CONTROL

Authors

  • WenXiu Liu (Corresponding Author) School of Artificial Intelligence and Electronic Engineering, Sichuan Technology and Business University, Chengdu 611745, Sichuan, China.

Keywords:

STM32, Intelligent ecological aquarium, Water quality monitoring, Remote control, IOT

Abstract

With the popularization of smart home technologies, traditional aquarium breeding suffers from issues including low monitoring accuracy, single control modes and inconvenient remote management. To address these drawbacks, this paper presents an intelligent ecological aquarium monitoring system based on STM32. Adopting the STM32F103C8T6 as the main control chip, the system integrates DS18B20, pH and TDS sensors to achieve real-time monitoring of water temperature and water quality parameters. It realizes automatic feeding, oxygenation and water circulation via servos and relays, and supports four operating modes: timing, manual, threshold and automatic, to meet diverse application requirements in different scenarios. An OLED screen enables on-site data display, while an ESP-01S Wi-Fi module uploads collected data to a mobile APP, allowing remote timing configuration, device control and threshold adjustment. Test results indicate that the system features high measurement accuracy, fast response and stable operation, and can greatly improve the management efficiency of aquarium environments. With low cost, compact size and easy deployment, this system offers an intelligent solution for household aquarium maintenance and small-scale aquaculture applications.

References

[1] Fisheries and Fishery Administration Bureau of the Ministry of Agricultural and Rural Affairs of the People’s Republic of China. 2019 China Fisheries Statistics Yearbook. World Agriculture, 2020(3): 2.

[2] Gao Junying. Design of Household Intelligent Aquarium Control System. Modern Information Technology, 2026, 10(2): 177-180+186.

[3] Zhang Peixiao, Wang Haipeng, Sheng Yanqing, et al. A Novel Intelligent Aquarium Control System. Internet of Things Technologies, 2025, 15(20): 137-140.

[4] Guo Yicheng. Design and Implementation of Ecological Environment Monitoring System for Intelligent Aquarium. Electronic Technology, 2025, 54(12): 69-71.

[5] Yang Ziyuan, Zhai Juan, Zhang Bozhao, et al. Intelligent Aquaculture System of Smart Aquarium Based on Single-Chip Microcomputer. Industrial Control Computer, 2022, 35(4): 122-123+128.

[6] Danvirutai P, Charoenwattanasak S, Tola S, et al. An integrating RAG-LLM and deep Q-network framework for intelligent fish control systems. Scientific Reports, 2025, 15(1): 21377.

[7] Luo Y, Ren J, Tian Y, et al. Design and Realization of Intelligent Fish Tank System based on STM32 Microcontroller. Journal of Big Data and Computing, 2024, 2(2).

[8] Wu Z, Zhong L, Xue L. A multi-functional fish tank remote monitoring system based on STM32. International Journal of Frontiers in Engineering Technology, 2022, 4(7): 12-14.

Downloads

Published

2026-06-11

Issue

Section

Research Article

DOI:

How to Cite

WenXiu Liu. A Multi‑Mode Intelligent Aquarium Monitoring System With Iot (Internet Of Things) Remote Control. World Journal of Engineering Research. 2026, 4(4): 45-51. DOI: https://doi.org/10.61784/wjer3107.