AU2019101143A4 - Design of Dust Monitoring System Based on Arduino - Google Patents

Abstract

Dust in the atmosphere is not only easy to be inhaled by the human body, but also affects the visibility of the atmosphere, so the monitoring and control of dust is one of the important responsibilities of environmental protection departments. However, because dust concentration is easily affected by air humidity, temperature and other factors, it is very important to monitor dust concentration accurately and at any time. -- - - - -- - - - -- - - - - -- - GP2YIOIOAU VVc 4--50 _-L bba) +5Vv Ddo1dr AW ___ ___ Dad& G\D Figurel Output pulse Sampling Figure2

Description

Design of Dust Monitoring System Based on Arduino

FIELD OF THE INVENTION

The prospect of the project is broad, and dust can be monitored online at any time. On the one hand, all the monitoring data can be aggregated and processed centrally through the gateway, which can provide real-time and effective data for the upper management to help the management to make decisions. On the other hand, the data can be transmitted through the Internet of things to users or cleaning equipment in polluted areas, allowing them to respond automatically.

BACKGROUND OF THE INVENTION

With the rapid development of society and economy, the environmental pollution problem has been bothering people's lives.Because of the emission of automobile exhaust, atmospheric pollutants of industry and other pollutants, the atmosphere pollution problem becomes one of the most serious problems around the world. When atmospheric pollution increase to a certain extent, it will harm the body comfort and health of human and the environment of survival; thus, the effective prevention and control of atmospheric pollution by atmospheric monitoring and the increase of environmental quality have important effect to environmental protection.However, the atmospheric monitoring system still has some problems such as the incomplete quality

2019101143 30 Sep 2019 control system, inaccurate sample quality and online monitoring. Therefore, more innovative technologies and perfect systems are needed. The harm of fine particulate matter is especially serious, which can reduce visibility and affect human respiratory system, cardiovascular system and central nervous system.As a result,the monitoring of fine particulate matter become one of the mainstream studies at present.

The harm of fine particulate matter to human body can be traced back to the London toxic fog event in 1952. On October 17, 2013, the international agency for research on cancer determined that PM2.5 is carcinogenic, since then, the research on the monitoring of PM2.5 and other particulate matter increased year by year.For example, the comprehensive use of UAV and image recognition technology, based on the Visual Studio 2013 platform, and taking HSV feature extraction, histogram comparison and non-zero pixel point calculation as the core to operate automatic monitoring of construction dust pollution sources; online PM2.5 monitoring based on Arduino UNO single chip and GP2Y1023AUG sensor;utilizing the attenuation of particles on the filter membrane by β rays to measure the mass concentration of particles;and microoscillatory balance method dynamic measuring system with film on instrument (FDMS).

In this experiment, Arduino Mega 2560 R3 single chip and GP2Y1010AU dust sensor are used for online monitoring of fine particle

2019101143 30 Sep 2019 concentration. The advantages of this experiment are automatic monitoring, simple operation, easy to carry and install, and sensitive response. The disadvantage is that the accuracy needs to be improved.

SUMMARY

The device is a real-time air detection system composed of Arduino single chip microcomputer, GP2Y1010AU dust sensor, USB transfer line and computer. Arduino single chip microcomputer is responsible for controlling the sensor and processing the collected data. The sensor collects the data from the surrounding environment and then gives it to the compiled program in the single chip microcomputer for processing and analysis. Finally, the detection data is transmitted to the computer for display.

DESCRIPTION OF DRAWING

Figure 1 shows the Circuit connection mode.

Figure2 shows the sampling timing of output pulse.

Figure3 shows the relationship between output voltage and dust density. Figured shows the experimental results.

DESCRIPTION OF PREFERRED EMBODIMENT

1. Single chip microcomputer

This device uses Arduino Mega 2560 single chip microcomputer, is a kind of single chip microcomputer based on open source, including 54 digital I < O ports (15 PWM ports), 16 analog input ports. Arduino

2019101143 30 Sep 2019 language structure is relatively simple, beginners can also quickly learn the common functions of Arduino software.

2. Sensor

The SHARP GP2Y1010AU sensor can measure tiny particles with a diameter of more than 0.8 microns. Infrared light-emitting diodes and photo transistors are installed diagonally to enable them to detect dust reflected light in the air. Small size, light weight, easy to install.

3. Computer

Considering portability and timely correction of the program, laptops are used instead of LED displays to display data results. Operation flow:

1. Assemble the single-chip computer and the sensor.

The pin of the sensor has a total of 6 wires, in which only the LED and the Vo wiring are connected to the single-chip computer. Vo needs to be connected to the ADC pin of the single-chip computer to test the voltage of Vo, resulting in a dust concentration based on the proportional relationship between the voltage and the dust concentration Connection sequence: This device connects the LED to the No. 10 digital pin of the single-chip computer, and Vo is connected to the Al 1 analog input port.

2. Assembly power, resistance, capacitance The sensor has 6 pins, two connected single-chip computers, and two of the remaining four wires need to supply power to the infrared light-emitting diode, so that the 5-V

2019101143 30 Sep 2019 power supply can not be directly connected, and a resistance of 150Ω is required to be connected in series to current-limit. At the same time, a 220 uf capacitor is connected in parallel to the positive and negative poles of the light-emitting diode to stabilize the power supply.

Wiring sequence: VCC connected to 5V

S-GND to GND

5V connected to R(150Q)

R connected to V-LED

LED-GND connected to GND

220uf capacitor, positive and negative electrodes connected to VLED and LEDGND respectively.

3. Preparation of a computer program

The single-chip microcomputer is directly read from the sensor and transmitted to the computer and is not the actual dust concentration value, and a compiler is required to achieve the purpose of directly displaying the concentration value. The Arduino software and diagram of Voltage value and Dust concentration ratio of GP2Y1010AU Sensor is used here to write a calculation program.

Based on the above two images, we decided to test at 0.28ms

And according to the image, we get the relationship between the dust concentration and the voltage value is ’Density=(0.17*Vol-0.1)*1000 ‘.

2019101143 30 Sep 2019

For further accuracy, we decided to set the program to calculate the average for every ten samples.

Codes:

void loop() {

for(i=0;i<10;i++) {

digitalWrite(LEDpin,LOW);

delayMicroseconda(delayTime);

Val-analogRead(All);

delayMicroseconds(delayTime2);

digitalWrite(LEDpin,HIGH);

delay (100);

tFVal'O.OOlS;

PM=(0.17*0-0.1)*1000;

if(PM<0)

PM=0;

if(PM>500)

PM=500;

A[i]=PM;

}

3UM=0;

for(i=0;i<10;i++) {

SUM=SUM+A[ i ] ;

AVE=3OM/10.0;

Serial.print (The current PM density is);

Serial.print(AVE);

Serial.print (ug/m3);

Serial.print (^T\n');

//delay(1000);

}

Experimental result:

In order to verify the feasibility of this method, we measured the concentration of fine particles in the indoor laboratory of institute of automation, Chinese academy of sciences (N39°58 '39.44 , El 16° 19' 34.49 ) on July 29 and July 30, 2019 and collected 20 groups of data

2019101143 30 Sep 2019 each time. The experimental results are shown in figure 2.The experimental results show that the GP2Y1010AU dust sensor controlled by the Arduino Mega 2560 R3 microcontroller can quickly and sensitively measure the concentration of fine particles in the air, but the data is not stable enough, and there will be high and low values.

Technique principle

1. Principle of GP2Y1010AU Dust Sensor

The infrared light-emitting diode (LED) emits infrared light. When the infrared light encounters dust or smoke, the infrared light is reflected to the receiving end, and then the voltage generated at the receiving end is amplified by the amplifying circuit. Therefore, combined with the relationship between the output voltage and the dust concentration of the sensor itself, the dust concentration in the air can be calculated by measuring the value of the output voltage (U_o).

The total period of the voltage input to the infrared light-emitting diode is 100 ms, including the power-on time (0.32 ms). After powering on at 0.28ms, the voltage pulse is the maximum. So the data at this moment is taken to make the result more accurate.

2. Principle of Arduino Design Program

First, the total period of the output voltage is set to be 100 ms at the digital interface 10. During the period, the low potential time is 0.32

2019101143 30 Sep 2019 ms(LED glow), and the high potential duration is 99.68 ms(LED do not glow). Second, at the time of low potential of 0.28ms, we read the data of analog interface All and convert it into electrical signal information(voltage), and finally calculate the dust concentration in the air.

In this design, we opderate 10 cycles consecutively. For 10 consecutive cycles, the value of dust concentration is calculated in each cycle. Then the average value is regarded as the value of dust concentration in the air, so that we can get one value in each second.

Claims (2)

1. A design of dust monitoring system based on Arduino, wherein principle of this dust sensor includes:

the infrared light-emitting diode emits infrared light; when the infrared light encounters dust or smoke, the infrared light is reflected to the receiving end, and then the voltage generated at the receiving end is amplified by the amplifying circuit; therefore, combined with the relationship between the output voltage and the dust concentration of the sensor itself, the dust concentration in the air can be calculated by measuring the value of the output voltage.

2. The design of dust monitoring system based on Arduino according to claim 1, wherein the principle of arduino design program comprises:

first, the total period of the output voltage is set to be 100 ms at the digital interface 10; during the period, the low potential time is 0.32 ms with LED glow, and the high potential duration is 99.68 ms with LED do not glow; second, at the time of low potential of 0.28ms, we read the data of analog interface All and convert it into electrical signal information, and finally calculate the dust concentration in the air.