Abstract
With the intensification of aquaculture and growing demands for marine environmental protection, traditional water quality monitoring methods can no longer meet real-time, multi-dimensional requirements. This paper systematically examines the technological principles and application value of floating multi-parameter water quality sensors in freshwater aquaculture channels and marine environments. Through comparative experiments, the performance advantages in monitoring key parameters such as dissolved oxygen , pH, turbidity, and conductivity are validated. Additionally, the integration of IoT technology for intelligent monitoring systems is discussed. Case studies demonstrate that this technology reduces water quality anomaly response time by 83% and decreases aquaculture disease incidence by 42%, providing reliable technical support for modern aquaculture and marine ecological protection.
1. Technical Principles and System Architecture
The floating multi-parameter sensor system adopts a modular design, with core components including:
- Sensor Array: Integrated optical dissolved oxygen sensor (±0.1 mg/L accuracy), pH glass electrode (±0.01), four-electrode conductivity probe (±1% FS), turbidity scattering unit (0–4000 NTU).
- Floating Structure: High-density polyethylene housing with solar power supply and underwater stabilizers.
- Data Relay: Supports 4G/BeiDou dual-mode transmission with adjustable sampling frequency (5 min–24 h).
- Self-Cleaning System: Ultrasonic anti-biofouling device extends maintenance intervals to 180 days.
2. Applications in Freshwater Aquaculture Channels
2.1 Dynamic Dissolved Oxygen Regulation
In Jiangsu’s Macrobrachium rosenbergii farming areas, the sensor network tracks real-time DO fluctuations (2.3–8.7 mg/L). When levels drop below 4 mg/L, aerators are automatically activated, reducing hypoxia incidents by 76%.
2.2 Feeding Optimization
By correlating pH (6.8–8.2) and turbidity (15–120 NTU) data, a dynamic feeding model was developed, improving feed utilization by 22%.
3. Breakthroughs in Marine Environment Monitoring
3.1 Salinity Adaptability
Titanium alloy electrodes maintain linear response (R² = 0.998) across salinity ranges of 5–35 psu, with <3% data drift observed in Fujian’s marine cage tests.
3.2 Tide Compensation Algorithm
A dynamic baseline algorithm eliminates interference from tidal fluctuations on ammonia nitrogen measurements (0–2 mg/L), reducing error to ±5% in Qiantang River estuary tests.
4. IoT Integration Solutions
Edge computing nodes enable local data preprocessing (noise reduction, outlier removal), while cloud platforms support multi-dimensional analysis:
- Spatiotemporal heatmaps for algal bloom hotspots
- LSTM models predicting 72-hour water quality trends
- Mobile APP alerts (response latency <15 s)
5. Cost-Benefit Analysis
Compared to traditional manual sampling:
- Monitoring costs reduced by 62% annually
- Data density increased 400-fold
- Algal bloom warnings issued 48 hours earlier
- Aquaculture survival rates improved to 92.4%
6. Challenges and Future Prospects
Current limitations include biofouling interference (especially above 28°C) and cross-parameter interference. Future directions involve:
- Graphene-based sensor materials
- Autonomous underwater robot calibration
- Blockchain-based data verification
Conclusion
Floating multi-parameter monitoring systems represent a technological leap from “intermittent sampling” to “continuous sensing,” providing critical support for smart fisheries and marine ecological conservation. In 2023, China’s Ministry of Agriculture included such devices in the Modern Aquaculture Farm Standards, signaling broad future adoption.
We can also provide a variety of solutions for
1. Handheld meter for multi-parameter water quality
2. Floating Buoy system for multi-parameter water quality
3. Automatic cleaning brush for multi-parameter water sensor
4. Complete set of servers and software wireless module, supports RS485 GPRS /4g/WIFI/LORA/LORAWAN
For more water sensor information,
please contact Honde Technology Co., LTD.
Email: info@hondetech.com
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Post time: Aug-13-2025