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How to Use DSM501A sensor: Examples, Pinouts, and Specs

Image of DSM501A sensor
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Introduction

The DSM501A sensor is a reliable and cost-effective device designed to detect fine particles in the air, making it an essential component for air quality monitoring systems. It is commonly used in residential and commercial environments to measure the concentration of particulate matter (PM), which can have significant health impacts. The sensor is capable of detecting a range of particle sizes, including those small enough to penetrate the lungs and enter the bloodstream.

Explore Projects Built with DSM501A 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-Based Smart Irrigation System with Motion Detection and Bluetooth Connectivity
Image of Copy of wiring TA: A project utilizing DSM501A sensor in a practical application
This circuit is a microcontroller-based control and monitoring system. It uses an Arduino UNO to read from a DHT22 temperature and humidity sensor and an HC-SR501 motion sensor, display data on an LCD, and control a water pump and an LED through a relay. The HC-05 Bluetooth module allows for wireless communication.
Cirkit Designer LogoOpen Project in Cirkit Designer
Battery-Powered Health Monitoring System with Nucleo WB55RG and OLED Display
Image of Pulsefex: A project utilizing DSM501A sensor in a practical application
This circuit is a multi-sensor data acquisition system that uses a Nucleo WB55RG microcontroller to interface with a digital temperature sensor (TMP102), a pulse oximeter and heart-rate sensor (MAX30102), and a 0.96" OLED display via I2C. Additionally, it includes a Sim800l module for GSM communication, powered by a 3.7V LiPo battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP8266 NodeMCU-Based Environmental Monitoring System with SIM900A GSM Communication
Image of IOE: A project utilizing DSM501A sensor in a practical application
This is a sensor-based data acquisition system with GSM communication capability. It uses an ESP8266 NodeMCU to collect environmental data from a DHT22 sensor and light levels from an LDR, as well as distance measurements from an HC-SR04 ultrasonic sensor. The SIM900A GSM module enables the system to transmit the collected data over a cellular network.
Cirkit Designer LogoOpen Project in Cirkit Designer
Smart Weighing System with ESP8266 and HX711 - Battery Powered and Wi-Fi Enabled
Image of gggg: A project utilizing DSM501A sensor in a practical application
This circuit is a multi-sensor data acquisition system powered by a 18650 battery and managed by an ESP8266 microcontroller. It includes a load sensor interfaced with an HX711 module for weight measurement, an IR sensor, an ADXL345 accelerometer, a VL53L0X distance sensor, and a Neo 6M GPS module for location tracking. The system is designed for wireless data transmission and is supported by a TP4056 module for battery charging.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with DSM501A 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 Copy of wiring TA: A project utilizing DSM501A sensor in a practical application
Arduino UNO-Based Smart Irrigation System with Motion Detection and Bluetooth Connectivity
This circuit is a microcontroller-based control and monitoring system. It uses an Arduino UNO to read from a DHT22 temperature and humidity sensor and an HC-SR501 motion sensor, display data on an LCD, and control a water pump and an LED through a relay. The HC-05 Bluetooth module allows for wireless communication.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Pulsefex: A project utilizing DSM501A sensor in a practical application
Battery-Powered Health Monitoring System with Nucleo WB55RG and OLED Display
This circuit is a multi-sensor data acquisition system that uses a Nucleo WB55RG microcontroller to interface with a digital temperature sensor (TMP102), a pulse oximeter and heart-rate sensor (MAX30102), and a 0.96" OLED display via I2C. Additionally, it includes a Sim800l module for GSM communication, powered by a 3.7V LiPo battery.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of IOE: A project utilizing DSM501A sensor in a practical application
ESP8266 NodeMCU-Based Environmental Monitoring System with SIM900A GSM Communication
This is a sensor-based data acquisition system with GSM communication capability. It uses an ESP8266 NodeMCU to collect environmental data from a DHT22 sensor and light levels from an LDR, as well as distance measurements from an HC-SR04 ultrasonic sensor. The SIM900A GSM module enables the system to transmit the collected data over a cellular network.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of gggg: A project utilizing DSM501A sensor in a practical application
Smart Weighing System with ESP8266 and HX711 - Battery Powered and Wi-Fi Enabled
This circuit is a multi-sensor data acquisition system powered by a 18650 battery and managed by an ESP8266 microcontroller. It includes a load sensor interfaced with an HX711 module for weight measurement, an IR sensor, an ADXL345 accelerometer, a VL53L0X distance sensor, and a Neo 6M GPS module for location tracking. The system is designed for wireless data transmission and is supported by a TP4056 module for battery charging.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications and Use Cases

  • Air purifiers and HVAC systems
  • Environmental monitoring
  • Indoor air quality assessment
  • Smart home systems
  • Health monitoring devices

Technical Specifications

Key Technical Details

  • Operating Voltage: 4.75 - 5.25 VDC
  • Current Consumption: 90 mA (typical)
  • Output: PWM (Pulse Width Modulation)
  • Particle Detection Range: 1 μm to 3 μm
  • Operating Temperature Range: -10°C to +65°C
  • Storage Temperature Range: -20°C to +80°C
  • Humidity Range: 95% RH or less (non-condensing)

Pin Configuration and Descriptions

Pin Number Name Description
1 VCC Power supply (4.75 - 5.25 VDC)
2 GND Ground connection
3 OUT PWM output signal
4 NC Not connected

Usage Instructions

How to Use the Component in a Circuit

  1. Power Supply: Connect the VCC pin to a 5V power supply and the GND pin to the ground.
  2. Signal Output: Connect the OUT pin to a digital input on a microcontroller, such as an Arduino UNO, to read the PWM signal.
  3. Mounting: Ensure the sensor is mounted in a way that allows unrestricted airflow to the intake and exhaust areas.

Important Considerations and Best Practices

  • Avoid exposure to high concentrations of organic solvents, chemicals, and oils.
  • Prevent water or dust from entering the sensor to avoid damage.
  • Allow the sensor to preheat for at least 1 minute for accurate readings.
  • Calibrate the sensor periodically to maintain accuracy.
  • Use a pull-up resistor if the signal line is long to prevent signal degradation.

Example Code for Arduino UNO

// DSM501A Particle Sensor Example Code for Arduino UNO

const int particleSensorPin = 2; // Connect DSM501A OUT pin to digital pin 2

void setup() {
  pinMode(particleSensorPin, INPUT);
  Serial.begin(9600);
}

void loop() {
  unsigned long duration = pulseIn(particleSensorPin, LOW);
  unsigned long lowPulseOccupancy = duration / 10; // Calculate Low Pulse Occupancy
  float concentration = 1.1 * pow(lowPulseOccupancy, 3) - 3.8 * pow(lowPulseOccupancy, 2) + 520 * lowPulseOccupancy + 0.62; // Calculate particle concentration
  Serial.print("Particle Concentration: ");
  Serial.print(concentration);
  Serial.println(" PPM");
  delay(1000); // Wait for 1 second before the next reading
}

Troubleshooting and FAQs

Common Issues Users Might Face

  • Inaccurate Readings: Ensure the sensor has preheated for at least 1 minute and is calibrated correctly.
  • No Output Signal: Check the power supply and connections to the sensor. Ensure the OUT pin is connected to a digital input on the microcontroller.
  • Erratic Readings: Verify that the sensor is not exposed to drafts or direct airflow that could affect the readings.

Solutions and Tips for Troubleshooting

  • Preheat Time: Allow the sensor to stabilize by running it for at least 1 minute before taking readings.
  • Calibration: Follow the manufacturer's guidelines for calibration to ensure accurate measurements.
  • Clean Airflow: Regularly check and clean the sensor's intake and exhaust areas to prevent blockages.

FAQs

Q: Can the DSM501A sensor detect specific types of particles? A: The DSM501A sensor is designed to detect a range of particle sizes but does not differentiate between types of particles.

Q: How often should the sensor be calibrated? A: Calibration frequency depends on usage and environmental conditions. It is recommended to calibrate the sensor every six months or as required.

Q: Is the DSM501A sensor suitable for outdoor use? A: The sensor can be used outdoors but should be protected from water, excessive humidity, and direct sunlight to ensure accurate readings.