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How to Use Dust Smoke Particle Sensor: Examples, Pinouts, and Specs

Image of Dust Smoke Particle Sensor
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Introduction

The Dust Smoke Particle Sensor (Manufacturer Part ID: 132) is a highly sensitive device designed to detect and measure the concentration of dust and smoke particles in the air. Manufactured in China, this sensor is widely used in air quality monitoring systems, HVAC systems, and environmental monitoring applications. It provides real-time data on particulate matter (PM) levels, making it an essential component for ensuring healthy indoor and outdoor air quality.

Explore Projects Built with Dust Smoke Particle Sensor

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Arduino UNO and SIM900A Vape Smoke Detector with PM2.5 Sensor
Image of not sure sms vape detector: A project utilizing Dust Smoke Particle Sensor in a practical application
This circuit uses an Arduino UNO to monitor air quality using a PM2.5 Air Quality Sensor (PMS5003) and sends an SMS alert via a SIM900A GSM module when vape smoke is detected. The Arduino reads data from the PM2.5 sensor and, upon detecting a threshold level of particulate matter, triggers the SIM900A to send a notification to a predefined phone number.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32-Based IoT Indoor Air Quality Monitoring System with OLED Display and RGB LED
Image of air quality: A project utilizing Dust Smoke Particle Sensor in a practical application
This IoT indoor air quality monitoring circuit uses an ESP32 microcontroller to read data from a DHT22 temperature and humidity sensor, an MQ-7 carbon monoxide sensor, and a PM2.5 air quality sensor. The collected data is displayed on a 128x64 OLED display, and an RGB LED and PWM fan are controlled based on the air quality readings to indicate and manage air quality levels.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32-Based Multi-Gas Detection System
Image of Kelembapan Udara: A project utilizing Dust Smoke Particle Sensor in a practical application
This circuit is designed for environmental sensing, featuring an ESP32 microcontroller connected to various gas sensors (MQ-7 for carbon monoxide, MQ-135 for air quality, MQ-131 for ozone) and a particulate matter sensor (GP2Y1010AU0F). Additionally, it includes a DHT22 sensor for measuring temperature and humidity. The ESP32 reads analog outputs from the gas sensors and the particulate matter sensor, and a digital signal from the DHT22, to monitor and analyze environmental conditions.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO-Based Air Quality Monitoring System with OLED Display and Multi-Color LED Indicators
Image of AQI: A project utilizing Dust Smoke Particle Sensor in a practical application
This circuit is an air quality monitoring system using an Arduino UNO, which integrates sensors for dust (GP2Y1010AU0F), gas (MQ135), and temperature/humidity (DHT22). The system displays real-time data on an OLED screen and uses LEDs and a buzzer to indicate air quality levels.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with Dust Smoke Particle Sensor

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of not sure sms vape detector: A project utilizing Dust Smoke Particle Sensor in a practical application
Arduino UNO and SIM900A Vape Smoke Detector with PM2.5 Sensor
This circuit uses an Arduino UNO to monitor air quality using a PM2.5 Air Quality Sensor (PMS5003) and sends an SMS alert via a SIM900A GSM module when vape smoke is detected. The Arduino reads data from the PM2.5 sensor and, upon detecting a threshold level of particulate matter, triggers the SIM900A to send a notification to a predefined phone number.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of air quality: A project utilizing Dust Smoke Particle Sensor in a practical application
ESP32-Based IoT Indoor Air Quality Monitoring System with OLED Display and RGB LED
This IoT indoor air quality monitoring circuit uses an ESP32 microcontroller to read data from a DHT22 temperature and humidity sensor, an MQ-7 carbon monoxide sensor, and a PM2.5 air quality sensor. The collected data is displayed on a 128x64 OLED display, and an RGB LED and PWM fan are controlled based on the air quality readings to indicate and manage air quality levels.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Kelembapan Udara: A project utilizing Dust Smoke Particle Sensor in a practical application
ESP32-Based Multi-Gas Detection System
This circuit is designed for environmental sensing, featuring an ESP32 microcontroller connected to various gas sensors (MQ-7 for carbon monoxide, MQ-135 for air quality, MQ-131 for ozone) and a particulate matter sensor (GP2Y1010AU0F). Additionally, it includes a DHT22 sensor for measuring temperature and humidity. The ESP32 reads analog outputs from the gas sensors and the particulate matter sensor, and a digital signal from the DHT22, to monitor and analyze environmental conditions.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of AQI: A project utilizing Dust Smoke Particle Sensor in a practical application
Arduino UNO-Based Air Quality Monitoring System with OLED Display and Multi-Color LED Indicators
This circuit is an air quality monitoring system using an Arduino UNO, which integrates sensors for dust (GP2Y1010AU0F), gas (MQ135), and temperature/humidity (DHT22). The system displays real-time data on an OLED screen and uses LEDs and a buzzer to indicate air quality levels.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications and Use Cases

  • Air purifiers and air quality monitors
  • HVAC systems for indoor air quality control
  • Environmental monitoring stations
  • Industrial dust monitoring
  • Smart home automation systems

Technical Specifications

The following table outlines the key technical details of the Dust Smoke Particle Sensor:

Parameter Value
Manufacturer China
Part ID 132
Operating Voltage 5V DC
Operating Current ≤ 20 mA
Particle Detection PM2.5 and PM10
Output Signal Analog voltage or digital PWM
Detection Range 0.1 to 500 µg/m³
Response Time ≤ 1 second
Operating Temperature -10°C to 50°C
Storage Temperature -20°C to 60°C
Dimensions 59 mm x 45 mm x 22 mm

Pin Configuration and Descriptions

The Dust Smoke Particle Sensor typically has a 6-pin interface. The pin configuration is as follows:

Pin Number Pin Name Description
1 VCC Power supply input (5V DC)
2 GND Ground connection
3 SET Mode selection pin (optional, leave unconnected if unused)
4 RX Serial data input (for communication)
5 TX Serial data output (for communication)
6 PWM Pulse-width modulation output for particle data

Usage Instructions

How to Use the Component in a Circuit

  1. Power Supply: Connect the VCC pin to a 5V DC power source and the GND pin to the ground.
  2. Data Output: Use either the TX pin for serial communication or the PWM pin for analog output, depending on your application.
  3. Mode Selection: If required, connect the SET pin to configure the sensor's operating mode. For most applications, this pin can be left unconnected.
  4. Microcontroller Interface: Connect the TX or PWM pin to a microcontroller (e.g., Arduino UNO) to read the sensor's output data.

Important Considerations and Best Practices

  • Placement: Install the sensor in a location with good airflow for accurate readings. Avoid placing it near sources of heat or moisture.
  • Power Stability: Ensure a stable 5V power supply to avoid fluctuations in sensor readings.
  • Warm-Up Time: Allow the sensor to warm up for 30 seconds after powering it on for optimal performance.
  • Filtering: Use software filtering techniques to smooth out noise in the sensor's output data.

Example Code for Arduino UNO

Below is an example of how to interface the Dust Smoke Particle Sensor with an Arduino UNO using the PWM output:

// Define the PWM pin connected to the sensor
const int pwmPin = 2; // Connect the sensor's PWM pin to Arduino digital pin 2

void setup() {
  Serial.begin(9600); // Initialize serial communication at 9600 baud
  pinMode(pwmPin, INPUT); // Set the PWM pin as an input
}

void loop() {
  int duration = pulseIn(pwmPin, LOW); // Measure the low pulse duration
  float concentration = duration / 1000.0; // Convert to particle concentration (µg/m³)

  // Print the particle concentration to the serial monitor
  Serial.print("Dust Concentration: ");
  Serial.print(concentration);
  Serial.println(" µg/m³");

  delay(1000); // Wait for 1 second before the next reading
}

Troubleshooting and FAQs

Common Issues and Solutions

  1. No Output Data:

    • Cause: Incorrect wiring or loose connections.
    • Solution: Double-check all connections, especially the VCC, GND, and data pins.
  2. Inaccurate Readings:

    • Cause: Sensor placement in a poor airflow area or near heat sources.
    • Solution: Relocate the sensor to a well-ventilated area away from heat or moisture.
  3. Fluctuating Data:

    • Cause: Electrical noise or unstable power supply.
    • Solution: Use a decoupling capacitor (e.g., 10 µF) across the VCC and GND pins to stabilize the power supply.
  4. Sensor Not Responding:

    • Cause: Incorrect baud rate or communication settings.
    • Solution: Ensure the baud rate matches the sensor's default (typically 9600 bps).

FAQs

Q1: Can this sensor detect gases like CO2 or VOCs?
A1: No, this sensor is specifically designed to detect particulate matter (PM2.5 and PM10) and cannot measure gases.

Q2: How often should the sensor be calibrated?
A2: The sensor is factory-calibrated and does not require frequent calibration. However, periodic testing against a reference device is recommended for critical applications.

Q3: Can I use this sensor outdoors?
A3: Yes, but ensure it is protected from direct exposure to rain, extreme temperatures, and high humidity.

Q4: What is the lifespan of the sensor?
A4: The sensor typically has a lifespan of 3-5 years under normal operating conditions.