HomeProductsWater SensorsWater Quality SensorOnline Blue Green Algae Sensor for Cyanobacteria Monitoring and Water Quality Early Warning
  • Online blue green algae sensor for water quality monitoring

Online Blue Green Algae Sensor for Cyanobacteria Monitoring and Water Quality Early Warning

Key Features

  • Fluorescence measurement method for online blue green algae detection
  • 0 to 300.0 Kcells/mL range with 0.1 Kcells/mL resolution
  • High linearity of 0.999 R² for stable algae concentration monitoring
  • Fast response time under 30 seconds for real-time water quality tracking
  • RS485 Modbus RTU output for PLC, RTU, data logger, controller, and IoT gateway integration
  • Optional 4 to 20 mA output for industrial monitoring systems
  • Automatic temperature compensation with Pt1000
  • 316L stainless steel housing for long-term water and marine applications
  • IP68 waterproof protection for immersion monitoring
  • 3/4 NPT installation interface for practical field deployment
  • Low power consumption of 0.2W at 12V for remote stations

Product Description

Product Overview

Blue-green algae, also known as cyanobacteria, are common microorganisms found in freshwater environments such as lakes, reservoirs, ponds, and aquaculture systems.

Under conditions such as excessive nutrients, high temperature, and slow water movement, cyanobacteria may rapidly multiply and form harmful algae blooms. These events can affect aquatic ecosystems, drinking water sources, and aquaculture production.

JW-BGA-408(K17) Online Blue Green Algae Sensor is designed for continuous cyanobacteria concentration monitoring using fluorescence detection technology. It provides real-time measurement data for environmental monitoring systems, water quality stations, aquaculture management, and smart water applications.

With RS485 Modbus communication, IP68 waterproof protection, and online monitoring capability, the sensor can be integrated into IoT water monitoring platforms, RTU systems, and remote environmental monitoring networks.

What Is Blue-Green Algae (Cyanobacteria) Monitoring?

Blue-green algae monitoring refers to the measurement and analysis of cyanobacteria concentration in water bodies.

Traditional algae analysis methods usually require manual sampling and laboratory testing, which may not provide continuous information about rapid changes in water conditions.

Online blue-green algae sensors allow operators to continuously track algae concentration and identify increasing trends before serious algae bloom problems occur.

Common monitoring locations include:

  • Drinking water reservoirs
  • Natural lakes
  • Environmental water stations
  • Aquaculture ponds
  • Rivers and canals
  • Water resource protection areas

Why Real-Time Blue-Green Algae Monitoring Is Important

Early Detection of Harmful Algae Blooms

Cyanobacteria growth can change rapidly due to environmental factors. Continuous monitoring helps identify abnormal increases and supports early response.

Protect Drinking Water Sources

Reservoirs and surface water used for drinking water require regular monitoring of biological changes. Blue-green algae monitoring provides important data for water quality management.

Improve Aquaculture Management

Excessive algae growth can influence dissolved oxygen levels and aquatic ecosystem balance. Online monitoring helps aquaculture operators understand water conditions and optimize management strategies.

Support Environmental Research

Long-term algae concentration data helps researchers analyze water ecosystem changes and evaluate eutrophication trends.

Fluorescence-Based Blue-Green Algae Detection Principle

JW-IoT blue-green algae sensor uses fluorescence measurement technology.

Certain pigments inside cyanobacteria, such as phycocyanin, generate fluorescence signals when excited by specific wavelengths of light.

The sensor detects the fluorescence intensity and converts the signal into blue-green algae concentration data.

Compared with manual sampling methods, fluorescence-based measurement provides:

  • Continuous online monitoring
  • Faster response to water changes
  • No chemical reagent requirement
  • Easier integration with automated monitoring systems

Technical Specifications

Item Specification
Product Type Online Blue Green Algae Sensor
Measurement Principle Fluorescence method
Measurement Range 0 to 300.0 Kcells/mL
Resolution 0.1 Kcells/mL
Accuracy ±3% of reading
Temperature Accuracy ±0.3°C
Linearity 0.999 R²
Response Time T90 less than 30 seconds
Minimum Detection Limit 1 Kcells/mL
Calibration Method Two-point calibration
Cleaning Method None
Temperature Compensation Automatic temperature compensation with Pt1000
Output Signal RS485 Modbus RTU
Optional Output 4 to 20 mA
Storage Temperature -5 to 65°C
Working Condition 0 to 50°C less than 0.2 MPa
Housing Material 316L stainless steel
Installation Method Immersion installation 3/4 NPT
Power Consumption 0.2W at 12V
Power Supply 12 to 24V DC
Protection Grade IP68
Cable 5 core shielded cable

Contact JW-IoT if your project requires complete electrical, communication, installation, or integration specifications.

Applications of Blue-Green Algae Sensors

1. Reservoir and Drinking Water Monitoring

Blue-green algae sensors can be installed in reservoirs and source water areas to monitor cyanobacteria changes and support water safety management.

2. Lake Environmental Monitoring

For environmental protection projects, continuous algae monitoring helps evaluate ecosystem conditions and eutrophication development.

3. Aquaculture Water Monitoring

In fish farms and shrimp ponds, algae concentration data can be combined with other parameters such as:

  • Dissolved oxygen
  • Temperature
  • pH
  • Conductivity

to build a complete water quality monitoring system.

JW-IoT also provides optical dissolved oxygen sensors and multiparameter water quality sensors for integrated monitoring solutions.

Blue-Green Algae Monitoring IoT Architecture

A complete online monitoring system usually includes:

Blue-Green Algae Sensor

↓

RS485 Modbus

↓

RTU / IoT Gateway

↓

4G / LoRaWAN / Ethernet

↓

Cloud Platform

↓

Web Monitoring Dashboard / API

This architecture enables:

  • Remote data transmission
  • Real-time monitoring
  • Historical data analysis
  • Alarm management
  • Multi-site monitoring

JW-IoT can provide customized water monitoring solutions combining sensors, communication devices, and IoT platforms.

Installation Considerations

For reliable blue-green algae measurement:

Installation Position

The sensor should be installed in representative water locations where algae concentration can reflect actual water conditions.

Avoid Direct Interference

Avoid installation locations with:

  • Strong water turbulence
  • Direct sunlight interference
  • Large floating debris
  • Excessive sediment accumulation

Regular Maintenance

Although online monitoring reduces manual sampling requirements, periodic inspection and cleaning are recommended to maintain measurement stability.

How To Select A Blue-Green Algae Sensor?

Before selecting a sensor, consider:

Monitoring Environment

Different applications require different configurations:

  • Reservoir
  • Lake
  • Aquaculture pond
  • Wastewater system

Expected Algae Concentration Range

Select an appropriate measurement range according to historical water quality data.

Communication Requirements

Common options include:

  • RS485 Modbus
  • Wireless gateway
  • IoT cloud connection

Integration Requirements

For large monitoring projects, consider compatibility with:

  • SCADA
  • Cloud platforms
  • Existing environmental monitoring systems

Related Water Quality Monitoring Products

For complete water quality monitoring solutions, JW-IoT also provides:

  • Optical Dissolved Oxygen Sensor for Online Water Monitoring
  • Multiparameter Water Quality Sensor
  • Online Turbidity Sensor
  • Online pH Sensor
  • Water Quality Monitoring Buoy

Explore JW-IoT Water Quality Sensors:

[Internal Link: Water Quality Sensor Category]

FAQ

  • Q

    1. What is a blue green algae sensor used for?

    A

    It is used to monitor cyanobacteria, green algae, and microalgae concentrations in lakes, reservoirs, rivers, marine bays, aquaculture farms, and environmental water quality stations.

  • Q

    2. What measurement method does this sensor use?

    A

    The sensor uses the fluorescence method, measuring emitted light intensity that is proportional to the blue green algae concentration in water.

  • Q

    3. What is the measurement range of the sensor?

    A

    The sensor measures from 0 to 300.0 Kcells/mL with a resolution of 0.1 Kcells/mL.

  • Q

    4. Can this sensor connect to an IoT monitoring platform?

    A

    Yes. It supports RS485 Modbus RTU and optional 4 to 20 mA output, making it suitable for PLCs, RTUs, data loggers, gateways, and IoT platforms.

  • Q

    5. How does JW-IoT use this sensor in algal bloom early warning systems?

    A

    JW-IoT can integrate the blue green algae sensor with IoT gateways, cloud dashboards, threshold alarms, and multi-point monitoring stations for lake, reservoir, and aquaculture bloom early warning.

  • Q

    6. Is this sensor suitable for aquaculture water monitoring?

    A

    Yes. It can be used in freshwater and seawater aquaculture to monitor algae concentration and support water quality risk management.

  • Q

    7. Can JW-IoT provide a complete water quality monitoring solution with this sensor?

    A

    Yes. JW-IoT can combine blue green algae, chlorophyll, dissolved oxygen, pH, turbidity, conductivity, temperature, and water level sensors into a complete smart water monitoring system.

  • Q

    8. What installation distance should be maintained?

    A

    The sensor should be installed at least 5 cm away from side walls and at least 20 cm away from the bottom to reduce measurement interference.

  • Q

    9. Can JW-IoT customize system integration for different projects?

    A

    Yes. JW-IoT can support RS485 Modbus integration, optional 4 to 20 mA output, gateway connection, dashboard configuration, and multi-site monitoring according to project requirements.

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