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Choose a monitoring configuration for your farm
Start with the operating decision: oxygen alarms, aerator control, water exchange or biofilter checks. The following configurations are planning examples; final sensor ranges, mounting, controller and alarm settings depend on the farm.
| Application | First parameters to assess | Configuration details to confirm |
|---|---|---|
| Freshwater fish ponds | DO and temperature; pH where daily variation matters | Number of monitoring zones, safe maintenance access, aerator control interface and power-loss response |
| Shrimp ponds or brackish water | DO, temperature, pH and salinity; ammonia where needed | Salinity compatibility, ammonium interferences, reference testing and cleaning access |
| RAS tanks and biofilters | DO, temperature, pH and ammonia according to process risk | Tank and biofilter locations, PLC integration, flow conditions and separate calibration checks |
Measurement boundary: an ammonium ion-selective electrode measures an ammonium-related signal; it does not directly measure toxic un-ionized NH3. Any derived ammonia estimate requires the correct concentration basis, pH, temperature and applicable salinity assumptions. Define that calculation and verify it against reference samples before using an alarm. See US EPA ammonia guidance.
Intelligent Online Water Quality Monitoring Solution for Aquaculture
Aquaculture Intelligent Water Quality Management Solution: Digital IoT Empowers Efficient Ecological Fishery
Industry Pain Points and the Necessity of Online Monitoring
An aquaculture water quality monitoring system continuously tracks dissolved oxygen, pH, temperature, ammonia nitrogen and salinity where required, then sends data to alarms, gateways, PLCs or aeration controls. For fish farms, shrimp ponds and RAS projects, sensor selection should be based on species, stocking density, water type, expected range, monitoring location, maintenance access and the required response to an alarm.
Industry Problems
Nighttime "floating head" and hypoxia-induced fish deaths: Dissolved oxygen is the lifeline of aquaculture. In summer and autumn, affected by air pressure, heavy rain or high temperature, fish ponds are prone to sudden hypoxia in the early morning. Farmers cannot patrol ponds all night, which can easily lead to large-scale fish deaths and pond overturning.
Hidden water quality toxicity exceeding standards: With the accumulation of residual feed and excrement, toxic substances such as ammonia nitrogen and nitrite at the bottom of fish ponds often exceed standards unknowingly, leading to decreased immunity of aquatic animals and inducing large-scale diseases.
Large errors and untimely manual measurements: Using traditional reagent kits or portable instruments is not only time-consuming and labor-intensive, but due to measurement lag, it is often too late when water quality deterioration is discovered.
Q1. Why is online monitoring needed?
Modern high-density aquaculture has entered the era of "refined water control". Online monitoring can provide uninterrupted dynamic curves of physiological factors, helping farmers accurately grasp the evolution trend of water physicochemical indicators. More importantly, online data can be physically linked with automatic water addition and intelligent aeration equipment, upgrading management methods from "post-rescue" to "pre-protection".
What Problems Can Our System Solve
The YEXsensor aquaculture monitoring solution combines industrial online sensors, a data collector and alarm or control outputs for continuous fish-farm water quality monitoring. Depending on the project configuration, dissolved oxygen data can support aerator control, while pH, temperature, ammonia nitrogen and salinity trends help operators investigate changing pond or RAS conditions. The system supports earlier response, but alarm thresholds, control logic and maintenance intervals must be commissioned for each species, stocking density and water body.
Application Scenarios of Aquaculture Intelligent Online Water Quality Monitoring Solution
This solution is designed for different aquatic ecological needs and is widely applicable to the following breeding models:
Intensive factory recirculating aquaculture (RAS): In high-density indoor breeding workshops, accurately monitor the water quality microcirculation of each biological filtration unit and breeding tank.
Outdoor pond refined high-density breeding: Suitable for open-air ponds of high-value species such as four major Chinese carps, Litopenaeus vannamei, Chinese mitten crab, and mandarin fish.
Cage and enclosure aquaculture: Deployed in reservoirs, lakes or offshore cage areas to control bottom hypoxia and sudden changes in water environment in natural waters in real time.
Nursery and hatching bases: Provide routine water quality monitoring with site-defined verification intervals for the extreme sensitivity of juveniles to water quality.
System Composition of Aquaculture Intelligent Online Water Quality Monitoring Solution
The system fully considers the complex and scattered physical environment of outdoor fish farms, adopts low-power and anti-interference design, and is closely composed of the following five parts:
1. On-site Sensing Layer (Water Quality Sensors)
High-performance sensors are directly deployed in the breeding water body, measuring online for a long time and outputting standard digital signals:
YEX-S1-RDO Dissolved Oxygen Sensor: Adopts optical fluorescence principle, no membrane, no electrolyte, not affected by sulfide interference, periodic verification and cleaning are required during deployment.
YEX-S1-PH pH Sensor: Industrial-grade polymer solid electrolyte electrode, providing stable pH data.
YEX-S1-NHN Ammonia Nitrogen Sensor: Ion selective electrode method, ammonium-related monitoring; NH3 requires a separately verified calculation.
YEX-S1-EC Salinity/Conductivity Sensor (Supplementary): Provides accurate salinity and TDS basic data for seawater and freshwater aquaculture.
2. Edge Acquisition Layer (Data Collector)
Intelligent IoT acquisition terminal deployed at the pond mouth, integrated with RS485 fieldbus to receive sensor data, and equipped with multi-channel relay output interface, which can be directly interconnected with aerators and feeders.
3. Network Transmission Layer (Wireless Transmission)
4G Transmission: In pond mouths with good base station signals, the collector directly sends data to the cloud via 4G network.
LoRa Networking: For large-scale modern breeding bases with dozens or hundreds of fish ponds, each pond terminal aggregates data to the base center gateway through extremely low-power LoRa local network, and then transmits it uniformly through a single 4G card, greatly saving daily traffic costs.
4. Supporting Energy Layer (Solar Power Supply System)
For areas without mains power coverage or difficult wiring in outdoor ponds, optional 40W/60W monocrystalline silicon solar panels and high-capacity battery packs are provided to achieve all-day self-power supply for the terminals.
5. Application Management Layer (Cloud Platform)
YEXsensor intelligent fishery IoT platform integrates web large-screen terminal and mobile App/WeChat mini-program. In addition to data display, its core is the intelligent linkage engine, which can set aerator start-stop strategies based on dissolved oxygen.
Monitoring Parameters and Working Principles
Parameter Configuration and Technical Indicators
| Monitoring Index | Sensor Model | Measurement Principle | Range | Industrial Accuracy |
|---|---|---|---|---|
| Dissolved Oxygen (DO) | YEX-S1-RDO | Optical Fluorescence Method | 0-20 mg/L | 0.1 mg/L |
| pH | YEX-S1-PH | Glass Electrode Method | 0-14 pH | 0.05 pH |
| Ammonia Nitrogen (NHN) | YEX-S1-NHN | Ion Selective Electrode Method | 0.1-1000 mg/L | 5% of reading |
| Salinity | YEX-S1-EC-S (Optional) | Four-electrode Conductivity Method | 0-45 ppt | 0.5 ppt |
| Water Temperature | Built-in Thermometer | Thermistor | -5 to 50°C | 0.2°C |
System Operation and Linkage Working Principle
Sensors are automatically awakened by the collector according to the preset cycle (e.g. every 5 minutes). The optical fluorescence DO sensor excites fluorescent substances by modulating blue light and detects the time difference of red light release to calculate dissolved oxygen concentration. Data is transmitted to the data collector through the standard Modbus-RTU communication protocol.
The data collector performs "edge strategy judgment" locally: When the dissolved oxygen in the water body drops below the set safety line (e.g. 4.0 mg/L) at 3 a.m. due to biological respiration, the collector immediately closes the internal hardware relay without waiting for cloud instructions, automatically starting the powerful aerator. It automatically shuts down after dissolved oxygen recovers to a high level (e.g. 6.5 mg/L). All process data and linkage logs are asynchronously synchronized to the cloud platform via 4G/LoRa for farmers to view on their mobile phones.
System Features of Aquaculture Intelligent Online Water Quality Monitoring Solution
Data-based aerator control: Dissolved oxygen thresholds can be used to start or stop aeration through a configured controller. This can reduce unnecessary runtime compared with timer-only operation, but actual energy savings depend on pond loading, aerator efficiency, weather, thresholds and operating discipline.
Fluorescent method long life with minimal maintenance: YEX-S1-RDO sensor breaks through the fate of traditional membrane oxygen electrodes that require frequent membrane replacement and electrolyte addition. The fluorescent cap shell is extremely sturdy, requiring only regular wiping in complex breeding water bodies, with calibration and verification intervals defined by the model documentation and site conditions.
Multi-parameter water quality toxicity linkage warning: The toxicity of ammonia nitrogen to fish is determined by non-ionic ammonia (molecular ammonia). The system cloud can perform real-time thermodynamic matrix cross-calculation combining pH, temperature and total ammonia nitrogen to give accurate "real toxicity alerts" rather than simple single-indicator alarms.
Multi-channel 24/7 alarm: When indicators are abnormal, the system not only pushes on the App, but also uses configured notifications supported by the selected platform and local network; delivery and acknowledgement must be tested.
System Architecture Diagram of Aquaculture Intelligent Online Water Quality Monitoring Solution
The overall logical topology of this solution is shown below, demonstrating the complete business chain of "water body sensing - intelligent local control - cloud refined management":
Customer Value and Benefits
Reduce hypoxia response risk: Continuous dissolved oxygen monitoring and correctly configured alarms can shorten the response time to nighttime oxygen decline. Monitoring reduces risk but cannot guarantee zero mortality because equipment faults, power loss, disease and rapid environmental changes may still occur.
Support stocking and feeding decisions: Trend data can help operators evaluate whether oxygen supply, biofiltration and water exchange are keeping pace with biomass. Stocking density and feed rate must remain within the biological and hydraulic capacity defined by the farm's aquaculture plan.
Scientific medication and feed ratio: Combined with changes in water temperature, salinity and ammonia nitrogen, precisely guide scientific feeding, prevent excessive residual bait from polluting the bottom, reduce medication costs, and shorten the pond exit cycle.
Recommended Product List and Configuration
For standard outdoor high-density breeding ponds, we provide the following highly cost-effective equipment combination:
Intelligent fishery pond mouth control box: Industrial-grade waterproof box, built-in 4G communication module, with 2 channels of high-power aerator control AC contactors.
High-quality sensor duo: YEX-S1-RDO (optical fluorescent dissolved oxygen, integrated temperature), YEX-S1-PH (long-life pH sensor). For special high-density intensive breeding or seawater-freshwater mixed breeding, it is recommended to add YEX-S1-NHN (ammonia nitrogen) and YEX-S1-EC (conductivity).
Independent power supply kit (optional): 60W-100W solar panels and matching brackets, suitable for large-area base outdoor ponds.
Project Cases
Case 1: Intelligent Aeration Upgrade for High-density California Bass Ponds in East China
Project Background: California bass is a high oxygen-consuming species with extremely high breeding density, prone to floating heads in the early morning during summer and autumn.
Deployment Solution: Deployed YEXsensor intelligent IoT collectors and YEX-S1-RDO fluorescent dissolved oxygen sensors for 15 standardized bass ponds to achieve automatic group control of aerators.
Engineering review focus: Use dissolved oxygen trends, aerator runtime logs, alarm records and manual reference checks to evaluate whether the control thresholds are appropriate. Energy and mortality outcomes should be verified against the farm's own baseline rather than assumed from another site.
Case 2: Water Quality Monitoring for a Litopenaeus vannamei Breeding Base in Southern China
Project Background: Shrimp farming is extremely sensitive to pH, ammonia nitrogen and salinity. Slight deterioration of water quality can easily induce stealth death disease.
Deployment Solution: Adopted LoRa hybrid networking mode, deploying multi-parameter sensor groups (DO/pH/ammonia nitrogen/salinity).
Engineering review focus: Compare pH, temperature, salinity and ammonia nitrogen trends with feeding, water exchange and animal-health records. Alerts can support earlier investigation, but survival improvement must be measured at the specific farm and cannot be guaranteed by monitoring equipment alone.
Related Aquaculture Water Quality Sensor Guides
For fish farms, shrimp ponds and recirculating aquaculture systems, these guides help buyers compare DO, pH, salinity, ammonia nitrogen, aeration control and remote alarm requirements before choosing online monitoring equipment.
Aquaculture Monitoring RFQ Checklist
For sensor selection and quotation, provide the species, stocking density, pond or tank dimensions, freshwater or seawater conditions, target parameters, expected ranges, monitoring depth, number of zones, fouling conditions, available power, cable distance, communication protocol, alarm logic and required control outputs.
For PLC or SCADA projects, also provide the Modbus network layout, controller model, cabinet distance, data-upload requirement and whether the project needs a single sensor, multi-parameter station or complete monitoring and aeration-control system.
Review the YEX-S1-RDO optical dissolved oxygen sensor and the RS485 Modbus integration FAQ. For project support, Send Your Project Requirements.
Aquaculture Water Quality Monitoring FAQ
Q1. How does fouling affect sensors in fish ponds and shrimp ponds?
A1. Algae, biofilm, feed and suspended solids can slow sensor response or bias readings. Select an accessible mounting point, define inspection and cleaning intervals from site conditions, and use an automatic-cleaning option where the chosen model supports it. Automatic cleaning reduces fouling work but does not eliminate inspection or calibration.
Q2. When should a buyer choose an optical dissolved oxygen sensor?
A2. Optical DO is suitable when continuous oxygen trends, low-flow measurement and aeration control are priorities. Confirm the measurement range, temperature conditions, cap maintenance, cleaning access, cable length and RS485 integration requirements against the current product manual before ordering.
Q3. How should ammonia risk be evaluated in aquaculture?
A3. Evaluate ammonia nitrogen together with pH and temperature because toxicity changes with water chemistry. Confirm which ammonia parameter the selected sensor reports and how the controller calculates or displays related alarm values before relying on automated warnings.
Q4. Where should aquaculture sensors be installed?
A4. Install sensors in representative water with reliable circulation, while avoiding sediment burial, dead zones, direct aerator discharge and chemical-dosing points. Large or hydraulically separated ponds may need more than one monitoring point; confirm locations with a site survey.
Q5. Which parameters are normally selected for a fish farm or RAS project?
A5. Dissolved oxygen, pH and temperature are common starting points. Add ammonia nitrogen, conductivity or salinity according to species, freshwater or seawater conditions, stocking density, biofiltration design and the operational decisions the data must support.
Q6. How many monitoring stations are required?
A6. The answer depends on pond size, water circulation, depth, aeration zones, inlet and outlet layout and the consequence of missing a local event. One station may support a small uniform tank, while separate ponds, RAS loops or poorly mixed zones usually require independent points.
Q7. Can the sensors connect to a PLC or SCADA system?
A7. Yes, when the selected sensors and collector provide the required RS485 Modbus interface. Confirm device addresses, baud rate, register map, cable topology, grounding, termination, alarm logic and controller compatibility before commissioning.
Q8. How should maintenance and calibration be planned?
A8. Base the schedule on fouling rate, water chemistry, required accuracy and the sensor manual. Include visual inspection, cleaning, comparison with a trusted reference, calibration where required, cable and connector checks, alarm tests and maintenance records.
Q9. What information is required for an aquaculture monitoring quotation?
A9. Provide species, stocking density, water type, target parameters and ranges, number and dimensions of ponds or tanks, installation depth, power, cable distance, communication protocol, cleaning needs, alarm and control requirements, quantity and destination.
Summary
An aquaculture water quality monitoring system should be selected from the species, water type, stocking density, hydraulic zones and the operational decisions required from the data. Use dissolved oxygen, pH and temperature as core inputs where appropriate, then add ammonia nitrogen, conductivity or salinity when the farm process requires them. Confirm mounting, fouling control, maintenance access, RS485 Modbus integration, alarm logic, control outputs and complete RFQ data before procurement. Monitoring supports faster decisions but does not guarantee biological or financial outcomes.
