Nova SDS011 High Precision Laser Dust Sensor (PM2.5 PM10 Air Quality Sensor)

The Nova SDS011 High Precision Laser Dust Sensor is a laser-based particulate matter sensor designed to measure airborne PM2.5 and PM10 particle concentrations. It uses the laser light scattering principle to detect fine dust particles suspended in the air and provides digital measurements for air quality monitoring systems.

An integrated fan draws air into the sensing chamber, where airborne particles interact with the laser beam. The resulting scattered light is analyzed by the sensor to determine particulate concentration. Data can be accessed through UART or PWM interfaces, making the sensor suitable for microcontroller-based environmental monitoring and IoT applications.

Key Features -

• Laser-based particulate matter detection

• Measures PM2.5 and PM10 concentration

• Uses laser light scattering technology

• Built-in fan for continuous air sampling

• UART digital output

• PWM output interface

• Real-time particulate monitoring

• Fast response for air quality measurement

• Suitable for IoT environmental monitoring

• Compact sensor design

Specifications -

• Product Type: Laser Dust and Particulate Matter Sensor

• Model: SDS011

• Detection Type: Laser Dust Particle Sensor

• Measured Parameters: PM2.5 and PM10

• Measurement Range: 0.0 to 999.9 microgram per cubic meter

• Minimum Particle Size: 0.3 micrometer

• Operating Voltage: 4.7V to 5.3V DC

• Typical Operating Current: 70mA

• Sleep Current: Less than 4mA

• Data Output Frequency: 1Hz

• Operating Temperature: -10 C to 50 C

• Module Dimensions: 71mm x 70mm x 23mm

• Data Interfaces: UART and PWM

• Sampling Method: Internal Fan Assisted Air Sampling

Applications -

• Indoor air quality monitoring

• PM2.5 monitoring systems

• PM10 monitoring systems

• Environmental monitoring

• Air pollution measurement

• Smart home air quality systems

• HVAC monitoring

• IoT air quality devices

• Weather and environmental stations

• Industrial air monitoring

• Arduino projects

• ESP32 projects

• Raspberry Pi projects