Intelligent Fish Tank Farming System Based on Microcontroller
This design is an intelligent fish tank aquaculture system based on a microcontroller, with STC89C52 microcontroller as the main control unit. The system includes timing module, water level detection module, temperature detection module, light detection module, button module, oxygen flushing module, feeding module, water change module, heating module, lighting module, display module, communication module, etc. When the system is working, the temperature sensor DS18B20 can be used to detect the temperature of the water body. We need to detect the illumination of the fish tank through the photoresistor GL5506 and transmit temperature and lighting information to the microcontroller for processing, while displaying the status of the fish tank on the LCD screen. The system control of this system can be divided into button control, automatic control, and remote control. And three operation modes are adopted to complete functions such as oxygen flushing, feeding, water exchange, heating, and lighting. The aquaculture communication module uses WiFi to connect to a mobile app, enabling remote observation and control of the fish tank status. It provides a favorable living environment for the growth of fish. The system has implemented functions such as timed feeding, oxygen flushing, water replacement, automatic heating based on sensor detection, automatic lighting control, button control, and remote control of the fish tank. The experimental results show that this design can effectively improve the efficiency of fish tank management and resource utilization, and has certain practicality.
Authors
- Yu Zhang (ORCID: https://orcid.org/0000-0002-7070-0294)
- Tong Fu (ORCID: https://orcid.org/0000-0001-7669-6903)
- Yu Haixia
Institutions
- Dalian University of Technology (CN)
- City Institute, Dalian University of Technology
Publication Details
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1109/icaica63239.2024.10823073
- Citations
- 1
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.20