air pollution monitoring system

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@ IJTSRD | Available Online @ www ISSN No: 245 Inte R Air Po Garima Assistant Professor, Dep Dayananda Sagar Academy o ABSTRACT Particulate matter is the most dangerou pollution because it does not only affe health but also has an impact on the e and precipitation levels. This paper pro and cost-efficient method to measure volume of CO (carbon monoxide), tem humidity for weather forecast. A dus sensor, temperature and humidity sens data from the environment and this data Node MCU which is an open source running on ESP8266. The ESP8266 is a Fi microchip which processes the data. T data is given to the IoT server. Whe application requests for data it is fetched server. Keywords: Dust particles, IoT server, Humidity, Node MCU (ESP8266) I. INTRODUCTION In recent years there is a sudden increa particles suspended in air. These dust harmful and dangerous effect on huma and health. Based on their size particles in PM2.5 and PM10. These particles ar the size of human hair and they can lungs and cause serious health problem. This paper proposes a mobile applica easy to use and provide approximate particles to the users. Here we are going MCU. This has an inbuilt Wi-Fi modul in it and fine dust sensors. In additio incorporate temperature and humidity se sensor for further application of this syst w.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 56 - 6470 | www.ijtsrd.com | Volum ernational Journal of Trend in Sc Research and Development (IJT International Open Access Journ ollution Monitoring System a Pathak, Vishwanath M Bhadrashetti partment of Electronics & Communication Engi of Technology and Management, Bangalore, Kar us form of air ects the human earth’s climate oposes an easy dust particles, mperature and st sensor, gas sor collect the is given to the IoT platform a low cost Wi- The Processed en the mobile d from the IoT Temperature, ase in fine dust particles have an body, mind s are classified re smaller than penetrate into ation which is value of dust g to use a node le and arduino on to this we ensors and gas tem. This system analyses the dust tests the pattern in change different location. This data is gives immediate alerts to the s information human can take prior. This leads to healthy environment to live. II. LITERATURE SURV The whole system consists camera, zoom imaging lens suction fan, Palas feeder, air particle image processing inclu 1. Image segmentation: Orig binary image through Identification of each co binary image. Finally th conducted and object w testing range is regarded as 2. The atmospheric envir device makes environme With TCP packet and tran environment analyzer th Atmospheric environme atmospheric environment r and performs error verific sensors are used to composition in the atm device. 3. The platinum resistor is m with same value resistance and conditioning circuit co to 0-5v.It is then convert AD conversion circuit an microcontroller. After th microcontroller figures 2018 Page: 1848 me - 2 | Issue 5 cientific TSRD) nal ineering, rnataka, India levels in real time and it e of dust collected at s provided to users and it subscriber. Based on this preventive measures in y life and create better VEY of monochrome CCD s, laser diode module, pump and pipeline. The udes following steps: ginal image converted to threshold processing. onnected region in the he result validation is with size smaller than s noise and discarded. ronment measurement ent measurement result. nsmits it to atmospheric hrough LTE network. ent analyzer receives result in the TCP packet cation for the result. The measure atmospheric mospheric measurement made into a bridge along es. The voltage amplifier onverts the bridge signal ted to digital signals by nd is then read by the he signal is read the out the temperature

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Particulate matter is the most dangerous form of air pollution because it does not only affects the human health but also has an impact on the earths climate and precipitation levels. This paper proposes an easy and cost efficient method to measure dust particles, volume of CO carbon monoxide , temperature and humidity for weather forecast. A dust sensor, gas sensor, temperature and humidity sensor collect the data from the environment and this data is given to the Node MCU which is an open source IoT platform running on ESP8266. The ESP8266 is a low cost Wi Fi microchip which processes the data. The Processed data is given to the IoT server. When the mobile application requests for data it is fetched from the IoT server. Garima Pathak | Vishwanath M Bhadrashetti "Air Pollution Monitoring System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18191.pdf Paper URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/18191/air-pollution-monitoring-system/garima-pathak

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Page 1: Air Pollution Monitoring System

@ IJTSRD | Available Online @ www.ijtsrd.com

ISSN No: 2456

International

Research

Air Pollution Monitoring SystemGarima Pathak

Assistant Professor, DepDayananda Sagar Academy of Technology

ABSTRACT Particulate matter is the most dangerous form of air pollution because it does not only affects the human health but also has an impact on the earth’s climate and precipitation levels. This paper proposes an easy and cost-efficient method to measure dust particles, volume of CO (carbon monoxide), temperature and humidity for weather forecast. A dust sensor, gas sensor, temperature and humidity sensor collect the data from the environment and this data is given to the Node MCU which is an open source IoT platform running on ESP8266. The ESP8266 is a low cost WiFi microchip which processes the data. The Processed data is given to the IoT server. When the mobile application requests for data it is fetched from the IoT server. Keywords: Dust particles, IoT server, Temperature, Humidity, Node MCU (ESP8266) I. INTRODUCTION In recent years there is a sudden increase in fine dust particles suspended in air. These dust particles have harmful and dangerous effect on human body, mind and health. Based on their size particles are classified in PM2.5 and PM10. These particles are smaller than the size of human hair and they can penetrate into lungs and cause serious health problem. This paper proposes a mobile application which is easy to use and provide approximate value of dust particles to the users. Here we are going to use a node MCU. This has an inbuilt Wi-Fi module and arduino in it and fine dust sensors. In addition to this we incorporate temperature and humidity sensors and gas sensor for further application of this system.

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug

ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume

International Journal of Trend in Scientific

Research and Development (IJTSRD)

International Open Access Journal

Air Pollution Monitoring System

Garima Pathak, Vishwanath M Bhadrashetti

Department of Electronics & Communication EngineeringDayananda Sagar Academy of Technology and Management, Bangalore, Karnataka, India

Particulate matter is the most dangerous form of air pollution because it does not only affects the human

earth’s climate and precipitation levels. This paper proposes an easy

efficient method to measure dust particles, volume of CO (carbon monoxide), temperature and humidity for weather forecast. A dust sensor, gas

nsor collect the data from the environment and this data is given to the Node MCU which is an open source IoT platform running on ESP8266. The ESP8266 is a low cost Wi-Fi microchip which processes the data. The Processed

en the mobile application requests for data it is fetched from the IoT

Dust particles, IoT server, Temperature,

In recent years there is a sudden increase in fine dust air. These dust particles have

harmful and dangerous effect on human body, mind and health. Based on their size particles are classified in PM2.5 and PM10. These particles are smaller than the size of human hair and they can penetrate into

This paper proposes a mobile application which is easy to use and provide approximate value of dust particles to the users. Here we are going to use a node

Fi module and arduino sors. In addition to this we

incorporate temperature and humidity sensors and gas sensor for further application of this system.

This system analyses the dust levels in real time and it tests the pattern in change of dust collected at different location. This data is provided to users and it gives immediate alerts to the subscriber. Based on this information human can take preventive measures in prior. This leads to healthy life and create better environment to live. II. LITERATURE SURVEYThe whole system consists of monochrome CCD camera, zoom imaging lens, laser diode module, suction fan, Palas feeder, air pump and pipeline. The particle image processing includes following steps: 1. Image segmentation: Original image converted to

binary image through threshold processing. Identification of each connected region in the binary image. Finally the result validation is conducted and object with size smaller than testing range is regarded as noise and discarded.

2. The atmospheric environment measuredevice makes environment measurement result. With TCP packet and transmits it to atmospheric environment analyzer through LTE network. Atmospheric environment analyzer receives atmospheric environment result in the TCP packet and performs error verification for the result. The sensors are used to measure atmospheric composition in the atmospheric measurement device.

3. The platinum resistor is made into a bridge along with same value resistances. The voltage amplifier and conditioning circuit converts thto 0-5v.It is then converted to digital signals by AD conversion circuit and is then read by the microcontroller. After the signal is read the microcontroller figures out the temperature

2018 Page: 1848

6470 | www.ijtsrd.com | Volume - 2 | Issue – 5

Scientific

(IJTSRD)

International Open Access Journal

Electronics & Communication Engineering, and Management, Bangalore, Karnataka, India

This system analyses the dust levels in real time and it tests the pattern in change of dust collected at

on. This data is provided to users and it gives immediate alerts to the subscriber. Based on this information human can take preventive measures in prior. This leads to healthy life and create better

SURVEY The whole system consists of monochrome CCD camera, zoom imaging lens, laser diode module, suction fan, Palas feeder, air pump and pipeline. The particle image processing includes following steps:

Image segmentation: Original image converted to ge through threshold processing.

Identification of each connected region in the binary image. Finally the result validation is conducted and object with size smaller than testing range is regarded as noise and discarded. The atmospheric environment measurement device makes environment measurement result. With TCP packet and transmits it to atmospheric environment analyzer through LTE network. Atmospheric environment analyzer receives atmospheric environment result in the TCP packet

cation for the result. The sensors are used to measure atmospheric composition in the atmospheric measurement

The platinum resistor is made into a bridge along with same value resistances. The voltage amplifier and conditioning circuit converts the bridge signal

5v.It is then converted to digital signals by AD conversion circuit and is then read by the microcontroller. After the signal is read the microcontroller figures out the temperature

Page 2: Air Pollution Monitoring System

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 1849

according to the algorithm and the result is displayed on the LCD screen.

4. Two optical aerosol spectrometers are placed between filter screen for measuring dust particle inflow and outflow through HVAC filters in real time. The filters having the sample dust particle are examined in the lab.

III. METHODOLOGY Internet of Things is connection of several devices using internet. In this the data is stored in cloud. IoT is a growing technology it allows connection of two or more devices into a single architecture. In our paper sensors are Dust Sensor, Gas Sensor, Temperature and Humidity Sensor, which are connected to Node MCU microcontroller so that they can communicate with each other using internet. A circuit is used to connect the fine dust sensor to the node MCU. Here Wi-Fi module and arduino module is inbuilt functions of node MCU. Node MCU is connected to the IoT cloud server. The data that is stored in the IoT cloud server is then sent to the android mobile application. Block diagram of the proposed air monitoring system is illustrated in figure1.

Figure1. Block Diagram

A. Dust Sensor : The dust sensor model used in this paper is GP2Y1010AU0F. Dust Sensor is connected to an arduino through the circuit board. Fine dust concentration is measured by the sensor based in the optical sensor system. The size of observed particles from the sensor can be of at least 0.8µm. Data from the analog input is collected by the arduino and fine dust concentration is processed. Analog signal Input

ranges from 0-1023 of integer values. The raw signal is processed by the arduino code to format properly. The voltage value that is needed for calculating the dust density can be obtained by a signal value by multiplying by a factor 5.0/1024.

Figure2. Fine Dust Sensor

B. Gas Sensor : There are many types of gas sensors that are used to find different type of gases in the environment but the type of gas sensor used in this paper is MQ6 which senses carbon monoxide (CO). When the gas comes in contact with sensor and interacts, it creates potential difference on the element and this information is sent to processing unit. Gas concentration rises as the sensors conductivity becomes higher, therefore simple electro circuit is used.

Figure3. Gas Sensor

C. Temperature and Humidity Sensor: DTH11 is the sensor that gives digital output of temperature and humidity. DTH11 includes negative temperature coefficient measurement devices and resistive sense of wet components and these are connected with 8-bit microcontroller. This sensor can be easily connected and provides real time data. The surrounding air is measured by humidity sensor and a thermistor that gives a digital signal on the data pin. It is simple to use but it needs time to analyze the data.

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018 Page: 1850

Figure4. Temperature and Humidity Sensor

D. Node MCU: Node MCU (ESP8266) is a designing board where Wi-Fi module and arduino module is inbuilt. It is an open source platform, Interactive, Programmable, Smart and Wi-Fi enabled. It collects the data from the sensors for processing the received data. The processed data is sent to the IoT cloud server where the data is stored. IoT cloud server connects to the database and arduino serial is opened.

Figure 5.NodeMCU

E. Mobile Application for Android: To communicate with the IoT cloud server mobile application for android is designed to receive the data through network socket. The data can be retrieved in real time from the cloud server that allows users to check current dust particles, gas, and temperature and humidity levels. By pressing a refresh button recent data is displayed on the home screen.

FLOWCHART:

Figure6. Flow Chart The logic followed in this paper is mean weighted average of the values obtained from the IoT smart devices i.e. sensors. The values collected from each of these sensors are arranged as separate packets. These packets in the form of documents are stored in the private cloud along with the specific time of upload. Data from each of these sensors are grouped as tuples containing 10 data at a time and are subjected to the main logic of the program. This logic decided whether the data should be retained in the private cloud or pushed to the public cloud for third party usage. Mean weighted average of the data in the form of tuples from each individual sensor is obtained. Now individual sensor values are compared with their corresponding mean weighted average value. If the individual sensor value is less than the mean weight average (or vice versa depending on the need of the application), then it is retained in the private cloud

Page 4: Air Pollution Monitoring System

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

@ IJTSRD | Available Online @ www.ijtsrd.com

else it is pushed to the aws (public cloud). Data from aws can be used by the third party for various applications. IV. TEST RESULTS ANS GRAPHSA. Unit testing

Unit testing is shown below.Sl. No

Sensors Planned test

1 Dust

Vary the dust particle in

environment and observe

the changes in dust density.

2 Gas

Determine the gas in the

environment and observe the changes.

3 Temperature

Vary the temperature in environment by using heat and observe the increased temperature.

4 Humidity

Vary the humidity in environment and observe the increased or decreased

humidity.

Figure (a): Dust Sensor test result

Figure (b): Gas Sensor test result

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug

oud). Data from aws can be used by the third party for various

TEST RESULTS ANS GRAPHS:

Unit testing is shown below.

Result

Dust density is increased or decreased and output is shown in figure (a). CO Gas is sensed and output is shown in figure (b).

Temperature is increased and output is shown in figure (c).

Humidity is increased and output is shown in figure (d).

(a): Dust Sensor test result

(b): Gas Sensor test result

Figure (c): Temperature Sensor test result

Figure (d): Humidity Sensor test result B. System testing IoT cloud server is created to get the updated the server. We get the data into the IoT thing speak server from the hardware module. By varying all sensors data behavior we get different values of data and the data is checked in different places. All sensors real data is updated in real time in V. CONCLUSION Here we are going to conclude that fine dust monitoring system is designed using different sensors for indoor and outdoor air quality monitoring. Three sensors are designated in the system for monitoring different parameter from environment. We got the temperature and humidity parameter, gas parameter like level of hazardous gas CO, NO, etc. and dust density from Environment by using temperature sensor, Gas sensor and dust senor respectively. The real data from sensors in IOT server and hence human society will be taken precaution for their better life. With the help of this system People can get all real time environment data from different area and they can schedule their life according to it. Here each module is tested and got the proper result from all modules according to environmental change. We have taken the record data and all data are available in IOT server. Hence the system is very useful for better life of human being and helpful for society precaution.

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

2018 Page: 1851

(c): Temperature Sensor test result

(d): Humidity Sensor test result

IoT cloud server is created to get the updated data in the server. We get the data into the IoT thing speak server from the hardware module. By varying all sensors data behavior we get different values of data and the data is checked in different places. All sensors real data is updated in real time in thing speak server.

Here we are going to conclude that fine dust monitoring system is designed using different sensors for indoor and outdoor air quality monitoring. Three sensors are designated in the system for monitoring

ter from environment.

We got the temperature and humidity parameter, gas parameter like level of hazardous gas CO, NO, etc. and dust density from Environment by using temperature sensor, Gas sensor and dust senor respectively. The real data from sensors are updated in IOT server and hence human society will be taken precaution for their better life.

With the help of this system People can get all real time environment data from different area and they can schedule their life according to it.

module is tested and got the proper result from all modules according to environmental change. We have taken the record data and all data are

Hence the system is very useful for better life of human being and helpful for society for taking

Page 5: Air Pollution Monitoring System

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

@ IJTSRD | Available Online @ www.ijtsrd.com

REFERENCE 1. Zhang Lu and Yan Young “On

Measurement of Fine Dust through Digital Imaging”, IEEE International Conference, 24November 2015.

2. Seung Ho Kim “Development of an IoTAtmospheric Environment Monitoring System”, IEEE International Conference, 2017.

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 5 | Jul-Aug 2018

Zhang Lu and Yan Young “On-line Size Measurement of Fine Dust through Digital Imaging”, IEEE International Conference, 24-25

Seung Ho Kim “Development of an IoT-based Atmospheric Environment Monitoring System”, IEEE International Conference, 2017.

3. Wang Shaozhi, Liu Jian, Zhang Linghua and Chen Huanan “Research on Rapid Temperature Measurement System”, 11th IEEE International Conference, 2013.

4. Jung Hee Jang, Li Kun and Young Min Jo” Fine dust control by HVAC in Seoul Metro Subway”, ICROS-SICE International Joint Conference, August 18-21, 2009.

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

Aug 2018 Page: 1852

, Zhang Linghua and Chen “Research on Rapid Temperature

Measurement System”, 11th IEEE International

Jung Hee Jang, Li Kun and Young Min Jo” Fine dust control by HVAC in Seoul Metro Subway”,

SICE International Joint Conference,