With the improvement of people's living standards, the demand for fish and shrimp is increasing, which promotes the continuous development of intelligent aquaculture industry. Science is constantly advancing, and people's living standards are getting better. Traditional aquaculture can no longer meet the needs of The Times. Nowadays, the Internet of Things is constantly evolving, bringing about smart aquaculture and making the breeding process more standardized and rationalized.
To build an aquaculture water quality environmental monitoring system, in order to timely understand the aquaculture fish living environment of water quality, so as to take effective measures to regulate water quality, ensure the quality and safety of aquatic products, to achieve safe and efficient production purposes.The intelligent aquaculture monitoring system has made unmanned aquaculture a reality. The aquaculture water quality monitoring system is based on information technologies such as the Internet of Things, wireless sensors, cloud platforms, big data and the Internet. It uses sensors to monitor in real time the water environment parameters that affect the growth of aquatic animals, such as dissolved oxygen, temperature and pH underwater. The data is transmitted to the system through an information-based wireless transmission network, allowing farmers to obtain water quality data information in a timely manner. And grasp the dynamic changes of water quality in a timely and accurate manner. Meanwhile, users can access the data and management system through information terminals such as mobile phones and computers, monitor information and early warning information in real time, and achieve intensive, networked and remote management of aquaculture.
| Parameter | Sensor Type | Optimal Range | Risks Beyond Range |
|---|---|---|---|
| Dissolved Oxygen (DO) | Optical/Electrode Sensor | ≥5mg/L (breeding) | <3mg/L: Mass mortality |
| Ammonia Nitrogen | Ion-Selective Electrode | ≤0.2mg/L (hatchery) | >2mg/L: Acute toxicity |
| Temperature | Waterproof Probe | Species-specific* | ±5°C disrupts metabolism |
| pH | Glass Electrode | 6.5–8.5 (freshwater) | <6.5 or >9.0: Gill damage |
| Turbidity | Optical Scattering | <50 NTU (clear water) | High turbidity reduces respiration efficiency |
Data Collection
Sensors sample water every 15 minutes (adjustable).
Secure Transmission
4G/LoRa sends d
ata to cloud; offline storage for 72 hours.
Smart Alerts
Three-tier warnings (APP/SMS/alarm). Example: Auto-activate aerators when DO drops below 4mg/L.
Remote Control
View trends via mobile/PC, compare multiple ponds.
Hatchery Management: Strict control of NH₃-N ≤0.2mg/L and DO ≥5mg/L.
Feeding Optimization: Adjust feed based on ORP to reduce waste.
Disease Prevention: Detect pH fluctuations (±0.5/hour) signaling potential outbreaks.
A. Enhanced Aquatic Health
Real-time tracking of dissolved oxygen (DO), ammonia nitrogen (NH₃-N), and pH to prevent fish suffocation, poisoning, or stunted growth.
Maintain optimal temperature ranges (e.g., 20°C–30°C for warm-water species like carp and grass carp).
B. Operational Efficiency
Automated alerts reduce risks like hypoxia (DO < 3mg/L) or ammonia spikes (NH₃-N > 0.5mg/L).
Energy savings: Precision aeration cuts electricity costs by 30–50%.
C. Sustainable Production
IoT-enabled remote management minimizes manual intervention.
Data traceability supports quality certification (e.g., organic farming standards).
