Grove - Dust Sensor

This Dust Sensor gives a good indication of the air quality in an environment by measuring the dust concentration. The Particulate Matter level (PM level) in the air is measured by counting the Low Pulse Occupancy time (LPO time) in given time unit. LPO time is proportional to PM concentration. This sensor can provide reliable data for air purifier systems; it is responsive to PM of diameter 1μm.

警告

This sensor uses counting method to measure dust concentration, not weighing method, and the unit is pcs/L or pcs/0.01cf.
Please pay attention to the warnings listed here:
- Please keep it upright.
- 3 min preheat time is required while using for the first time.
- Arbitrary operation may cause unexpected damage.
- Following widgets (red rectangle marked) is used only for the factory setting. Please DO NOT change the default configuration.

Version

Product Version	Changes	Released Date
Grove-Dust Sensor V1.0	Initial	Nov 2012

Features

Stable and sensitive detection of not only cigarette smoke but also house dust which are indoor asthma triggers.
Air is self-aspirated with the current of air generation mechanism with a built-in heater.
Easy maintenance. High sensitivity lasts long term.
Dual output for the particle size over 1 micron and 2.5 micron (approx).
More compact and lighter, and easy installation.

提示

More details about Grove modules please refer to Grove System

Specifications

Item	Norm	Unit
VCC	4.75~5.75	V
Standby Current Supply	90	mA
Detectable range of concentration	0~28,000 / 0 ~ 8000	pcs/liter / pcs/0.01cf
Operating Temperature Range	0~45	°C
Output Method	Negative Logic, Digital output, High: over 4.0V(Rev.2), Low: under 0.7V	-
Detecting the particle diameter	>1	μm
Dimensions	59(W) × 45(H) × 22(D)	mm
Humidity Range	95% rh or less	-

备注

In the latest version, output Hi Voltage is changed from 4.0V to 4.5V.

Platforms Supported

Arduino	Raspberry Pi

警告

The platforms mentioned above as supported is/are an indication of the module's software or theoritical compatibility. We only provide software library or code examples for Arduino platform in most cases. It is not possible to provide software library / demo code for all possible MCU platforms. Hence, users have to write their own software library.

Application Ideas

Air Purifier
Air Quality Monitor
Air Conditioner
Ventilator

Getting Started

备注

If this is the first time you work with Arduino, we firmly recommend you to see Getting Started with Arduino before the start.

Play With Arduino

Hardware

Step 1. Prepare the below stuffs:

Seeeduino V4.2	Base Shield	Grove-Dust Sensor

Get One Now	Get One Now	Get One Now

Step 2. Connect Grove-Dust Sensor to D8 port of Grove-Base Shield.
Step 3. Plug Grove - Base Shield into Seeeduino.
Step 4. Connect Seeeduino to PC via a USB cable.

备注

If we don't have Grove Base Shield, We also can directly connect Grove-Dust Sensor to Seeeduino as below.

Seeeduino	Grove-Loudness Sensor
5V	Red
GND	Black
NC	White
D8	Yellow

Software

Step 1. Please copy below code to Arduio IDE and upload to arduino. If you do not know how to upload the code, please check how to upload code.

int pin = 8;
unsigned long duration;
unsigned long starttime;
unsigned long sampletime_ms = 30000;//sampe 30s ;
unsigned long lowpulseoccupancy = 0;
float ratio = 0;
float concentration = 0;

void setup() 
{
    Serial.begin(9600);
    pinMode(pin,INPUT);
    starttime = millis();//get the current time;
}

void loop() 
{
    duration = pulseIn(pin, LOW);
    lowpulseoccupancy = lowpulseoccupancy+duration;

    if ((millis()-starttime) > sampletime_ms)//if the sampel time == 30s
    {
        ratio = lowpulseoccupancy/(sampletime_ms*10.0);  // Integer percentage 0=>100
        concentration = 1.1*pow(ratio,3)-3.8*pow(ratio,2)+520*ratio+0.62; // using spec sheet curve
        Serial.print(lowpulseoccupancy);
        Serial.print(",");
        Serial.print(ratio);
        Serial.print(",");
        Serial.println(concentration);
        lowpulseoccupancy = 0;
        starttime = millis();
    }
}

Step 2. In this program, the Seeeduino samples the total duration of "logic low" in 30s, and this duration illustrates the dust density of environment. Open Serial Monitor, we can get air quality's value detected by sensor from PC's serial port.

Terminology：

"Lowpulseoccupancy" represents the Low Pulse Occupancy Time(LPO Time) detected in given 30s. Its unit is microseconds.
"Ratio" reflects on which level LPO Time takes up the whole sample time.
"Concentration" is a figure that has a physical meaning. It is calculated from the characteristic graph below by using the LPO time.
Here is a graph of the dust concentration measured in office :

We can see the concentration of dust is very low in the evening, but it is higher in the afternoon. A threshold can be set when the concentration is above a value. Also, if you want to set the sensor more sensitive you can add a fan on the sensor, and add a 10kΩ resistor between the Pin5 and Ground. More information please visit the blog of A.J.

Play With Raspberry Pi

Hardware

Step 1. Prepare the below stuffs:

Raspberry pi	GrovePi_Plus	Grove-Dust Sensor

Get One Now	Get One Now	Get One Now

Step 2. Plug the GrovePi_Plus into Raspberry.
Step 3. Connect Grove-Dust Sensor to D2 port of GrovePi_Plus.
Step 4. Connect the Raspberry to PC through USB cable.

Software

Step 1. Follow Setting Software to configure the development environment.
Step 2. Git clone the Github repository.

cd ~
git clone https://github.com/DexterInd/GrovePi.git

Step 3. Excute below commands to monitor the dust.

cd ~/GrovePi/Software/Python
python grove_dust_sensor.py

Here is the grove_dust_sensor.py code.

import time
import grovepi
import atexit

atexit.register(grovepi.dust_sensor_dis)

print("Reading from the dust sensor")
grovepi.dust_sensor_en()
while True:
    try:
  [new_val,lowpulseoccupancy] = grovepi.dustSensorRead()
  if new_val:
   print(lowpulseoccupancy)
  time.sleep(5) 

    except IOError:
        print ("Error")

Step 4. We will see the dust status as below.

pi@raspberrypi:~/GrovePi/Software/Python $ python grove_dust_sensor.py 
Reading from the dust sensor
14029
2621
1725
1978
2533
1619

If you want to make some awesome projects by Grove - Dust Sensor, here is a project for reference.

Air Quality Box

This section an IoT demo made by Seeeduino and Grove.

More attention is being paid to the environmental air quality nowadays because the tiny particles in the air around can badly endanger people’s health. We always get the information of environment from our government department. But it’s the average value of the whole city/section. It can not reflect the environment around you accurately.

FAQs

Q1: How can Grove - Dust Sensor (with 5V logic) be used with Seeeduino Stalker (with 3.3V logic)?

A1: The output signal from Dust Sensor needs to be scaled down to 3.3V logic to work with Seeeduino Stalker (or any such board). The output from Dust Sensor is 0.7V for Logic Low and greater than 4.0V for Logic High. You could use a voltage divider to scale the output to be compatible with 3.3V logic or use a TTL logic level translator.

Resources

[Datasheet] Grove-Dust_sensor datasheet
[Datasheet] De-construction of the Shinyei PPD42NS dust sensor Made by Tracy Allen
[Demo]Building a low-cost networked PM2.5 monitor -- Made by A.J.
[Demo] Measuring the Pickle Jr. – a modified PPD42 with an attached fan. -- Made by A.J.
[Demo] Testing the Shinyei PPD42NS -- Made by darell tan
[Demo] Air Quality Monitoring -- Made by Chris Nafis

Projects

Air Quality Box: Monitor air quality around you

Smart Crops: Implementing IoT in Conventional Agriculture!: Our mission with nature is to preserve it, designing and implementing technologies and monitoring methods with the help of IoT via Helium.

LoRa IoTea: An automatic information collection system applied to tea plantation. It is part of intelligent agricultural information collection.

Tech Support

Please submit any technical issue into our forum.

Upgradable to Industrial Sensors

With the SenseCAP S2110 controller and S2100 data logger, you can easily turn the Grove into a LoRaWAN® sensor. Seeed not only helps you with prototyping but also offers you the possibility to expand your project with the SenseCAP series of robust industrial sensors.

The IP66 housing, Bluetooth configuration, compatibility with the global LoRaWAN® network, built-in 19 Ah battery, and powerful support from APP make the SenseCAP S210x the best choice for industrial applications. The series includes sensors for soil moisture, air temperature and humidity, light intensity, CO2, EC, and an 8-in-1 weather station. Try the latest SenseCAP S210x for your next successful industrial project.

Version​

Features​

Specifications​

Platforms Supported​

Application Ideas​

Getting Started​

Play With Arduino​

Play With Raspberry Pi​

Related Projects​

FAQs​

Resources​

Projects​

Tech Support​

Upgradable to Industrial Sensors​