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​​Smart Aquaculture Solution

With global population growth and rising demand for aquatic products, traditional aquaculture models face bottlenecks such as low efficiency, resource waste (e.g., overfeeding), environmental pollution (wastewater discharge), and frequent disease outbreaks. These challenges accelerate the need for technological upgrades in aquaculture. Meanwhile, consumers increasingly demand higher quality, safety, and traceability of aquatic products. Emerging technologies like IoT, big data, and AI enable precision farming and automation, reducing labor costs and resource waste.

Key Equipment

  • Sensing: Sensors (pH, DO, water level, ultrasonic flow)

  • Transmission: Data loggers (default 5-minute sampling), gateways

  • Control: Water exchange, aeration, feeding systems

  • Video: Underwater robots for inspection/thermal cameras (fish behavior analysis)

  • High-definition cameras deployed at critical points (e.g., drainage outlets, feeding stations)

    Smart Aquaculture Solution



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


    Management & Applications

  1. Leveraging digital twin technology, the system integrates sensor data and video surveillance to build an interactive 3D aquaculture environment model. This enables:

  2. Data visualization and remote management via mobile APP/PC terminals.

  3. Tiered alerts (critical/over-threshold) for real-time monitoring.

  4. Automated pond control (water exchange, aeration, feeding triggered by thresholds), significantly reducing labor and resource use while achieving precision farming.


    Solution Features

    1. Efficiency Improvement & Cost Reduction

       Reduces labor dependency through automated equipment (smart feeding, aeration) and data-driven management, minimizing feed and energy waste.

  5. 2. Risk Mitigation

    1. Real-time water quality monitoring (DO, ammonia nitrogen) and fish health analysis for disease prediction and early warnings, preventing large-scale losses.

    3. Green & Sustainable Practices

    1. Reduces pollution via recirculating aquaculture systems and biocontrol methods, aligning with environmental policies for eco-friendly production.

    4. Quality Assurance & Traceability

    1. Full-process data logging using blockchain technology to meet consumer demands for food safety and transparency.

    5. Standardization & Scalability

    1. Unified technical standards enable modular system expansion, supporting intelligent upgrades for aquaculture farms of all scales.



      1745310390576


      Applications

    • 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.




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