Turbidity measurement principle

TIME: 2026.01.31 AUTHOR: Coco Li NUMBER OF VIEWS 198
Principles and Applications of Turbidity Sensors: Technical Details & Selection Guide | Water Sensor Technology

Principles and Applications of Turbidity Sensors: Technical Details & Selection Guide

Comprehensive analysis of turbidity sensor working principles, technical features, selection points, and applications in drinking water, wastewater treatment, industrial process control, and other fields

1. Basic Principles of Turbidity Sensors

Turbidity sensors are optical-based water quality monitoring devices that quantify water turbidity by measuring the scattering, absorption, or transmission characteristics of light by suspended particles in water.

Basic Working Principle Diagram of Turbidity Sensor

Light Source → Water Sample → Light Detector → Signal Processing → Turbidity Output

Typical optical path: Incident light scattered by water particles, detector receives scattered light signal

1.1 Optical Measurement Principles

Turbidity sensors are mainly based on the following three optical principles:

  • Scattered Light Principle: Measures scattered light intensity at 90° to incident light (most common)
  • Transmitted Light Principle: Measures attenuation of transmitted light through water sample
  • Surface Scattering Principle: Measures scattered light from water sample surface, no intrusive installation needed

According to ISO 7027 international standard, the 90° scattered light method is the benchmark method for turbidity measurement, with results expressed in NTU (Nephelometric Turbidity Units).

2. Main Types of Turbidity Sensors

90°
90° Scattering Sensor

Working Principle: LED light source, 90° scattered light detection

Measurement Range: 0-1000 NTU

Accuracy: ±0.1 NTU

Features: High accuracy, ISO compliant

T
Transmission Sensor

Working Principle: Measures transmitted light attenuation

Measurement Range: 0-4000 NTU

Accuracy: ±2% FS

Features: Suitable for high turbidity measurement

S
Surface Scattering Sensor

Working Principle: Non-contact surface scattering measurement

Measurement Range: 0-1000 NTU

Accuracy: ±1% FS

Features: Maintenance-free, no contamination

R
Ratio Sensor

Working Principle: Multiple angle scattered light ratio

Measurement Range: 0-100 NTU

Accuracy: ±0.05 NTU

Features: Eliminates color interference

2.1 Sensor Technical Parameter Comparison

Sensor Type Measurement Principle Measurement Range Accuracy Response Time Main Applications
90° Scattering 90° Scattered Light 0-1000 NTU ±0.1 NTU 3-5 seconds Drinking water, laboratory
Transmission Transmitted Light Attenuation 0-4000 NTU ±2% FS 2-3 seconds High turbidity wastewater
Surface Scattering Surface Scattering 0-1000 NTU ±1% FS 1-2 seconds Online monitoring
Ratio Multiple Angle Ratio 0-100 NTU ±0.05 NTU 5-8 seconds Ultra-low turbidity

3. Sensor Structure and Components

3.1 Core Components

A typical turbidity sensor consists of the following core components:

  1. Light Source: LED (850nm infrared or visible light), lifespan 5-10 years
  2. Optical Window: Quartz or sapphire material, scratch resistant
  3. Light Detector: Photodiode or photomultiplier tube
  4. Signal Processor: Microprocessor for signal amplification and calculation
  5. Temperature Sensor: Compensates for temperature effects on measurement
  6. Self-cleaning Device: Mechanical brush or ultrasonic cleaning

3.2 Signal Processing Flow

Turbidity sensor signal processing includes the following steps:

  • 1. Light source driving and stabilization
  • 2. Light signal acquisition and amplification
  • 3. Ambient light interference elimination
  • 4. Temperature compensation calculation
  • 5. Nonlinear correction
  • 6. Digital filtering and output

Modern turbidity sensors typically integrate temperature compensation functions, as water temperature changes affect light scattering characteristics, requiring real-time compensation to ensure measurement accuracy.

4. Application Scenarios and Selection Guide

💧

Drinking Water Treatment

Raw water monitoring, coagulation control, filtration monitoring, finished water testing

Recommended Sensor: 90° scattering, accuracy ±0.1 NTU

🏭

Wastewater Treatment

Influent monitoring, biological tanks, sedimentation tanks, discharge points

Recommended Sensor: Surface scattering, self-cleaning function

⚗️

Industrial Processes

Cooling water, boiler feed water, process water, product cleaning

Recommended Sensor: Transmission type, wide measurement range

🌊

Environmental Monitoring

Rivers, lakes, oceans, rainfall runoff

Recommended Sensor: Anti-fouling type, long-term stability

4.1 Key Selection Factors

  • Measurement Range: Select appropriate range based on expected turbidity level
  • Accuracy Requirements: Drinking water requires high accuracy (±0.1 NTU), industrial processes can be more flexible
  • Installation Method: Immersion, flow-through, insertion, or surface type
  • Environmental Conditions: Temperature, pressure, corrosive media
  • Maintenance Needs: Self-cleaning function reduces maintenance frequency
  • Output Signal: 4-20mA, MODBUS, Profibus, etc.

5. Installation and Maintenance Points

5.1 Installation Considerations

  1. Installation Location: Avoid bubbles, vortices, dead zones
  2. Sampling Point: Representative location, away from chemical dosing points and mixers
  3. Installation Depth: Ensure sensor is completely submerged
  4. Protection Measures: Lightning protection, waterproofing, freeze protection
  5. Calibration: Perform field calibration after installation

5.2 Maintenance

  • Regular Cleaning: Clean optical window monthly
  • Calibration Check: Verify accuracy with standard solution monthly
  • Seal Inspection: Check sealing performance quarterly
  • Spare Parts Replacement: LED light source lifespan 5 years, replace when due
  • Winter Protection: Freeze protection measures in cold regions

5.3 Common Faults and Troubleshooting

Fault Symptom Possible Causes Solutions
Unstable Readings Bubble interference, improper installation location Change installation location, add degassing device
High Readings Window contamination, calibration drift Clean window, recalibrate
No Signal Output Power failure, cable damage Check power supply and connections
Slow Response Low temperature, dirt accumulation Heating insulation, clean sensor

6. Technology Development Trends

6.1 Intelligent Development

  • Self-diagnostic Function: Automatically detects faults and alarms
  • Adaptive Calibration: Automatically adjusts based on environmental changes
  • Wireless Transmission: LoRa, NB-IoT and other wireless technology applications
  • AI Algorithms: Machine learning optimizes measurement accuracy

6.2 New Material Applications

  • Nano Coating: Anti-fouling, scratch-resistant optical windows
  • Sapphire Window: Extremely high hardness and chemical stability
  • Ceramic Housing: Corrosion resistant, wear resistant
  • Fiber Optic Technology: Remote measurement, electromagnetic interference resistant

6.3 Multi-function Integration

Modern turbidity sensors tend toward multi-function integration:

  • Turbidity + temperature + pH multi-parameter sensors
  • Turbidity + dissolved oxygen + conductivity integrated probes
  • Smart sensors with video monitoring function
  • Cloud-based data management and analysis platforms
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