![International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 3 Issue 5, August 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD26554 | Volume – 3 | Issue – 5 | July - August 2019 Page 1028
Air Quality Monitoring and Control System in IoT
Soe Soe Mon, Thida Soe, Khin Aye Thu
Lecturer, Faculty of Computer Systems and Technologies,
University of Computer Studies, Hinthada, Myanmar
How to cite this paper: Soe Soe Mon |
Thida Soe | Khin Aye Thu "Air Quality
Monitoring and Control System in IoT"
Published in
International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-5, August
2019, pp.1028-1031,
https://doi.org/10.31142/ijtsrd26554
Copyright © 2019 by author(s) and
International Journalof Trendin Scientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the Creative
CommonsAttribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
ABSTRACT
Air pollution that refers to the contamination of the air,irrespectiveof indoors
or outside. A physical, biological or chemical alteration to the air in the
atmosphere can be termed as pollution. It occurs when any harmful gases,
dust, smoke enters into the atmosphere and makes it difficult for plants,
animals, and humans to survive as the air becomes dirty. Proposed system
considers pollution due to automobiles and provide a realtimesolution which
is not just monitors pollution levels but also take into consideration control
measures for reducing traffic and industrial zone in highly polluted areas.The
solution is provided by a sensor based hardware module which can be placed
along roads and plants. These modules can be placed on lamp posts and they
transfer information about airqualitywirelesslyto cloud server.Theproposed
system also provides about air quality information through a mobile
application which enables commuters to take up routes where air quality is
good.
KEYWORDS: air pollution; sensor; IoT; hardware; traffic control
INTRODUCTION
In the genrerationof fast data transmission over internet, Internet of Thingshas
attained a lot of power. It can be enable various devices to communicate over
communications Channel and store the data on a cloud database through
network. IoT canbe utilized to monitor indoor or outdoor airqualityin realtime.
There are various things in universities environment that
cause to the poor quality of air like fresh paints, polish on the
wooden surface, photocopier machines, traffic,smokeetc.[1].
When the level of the controlling increases beyond the
permissible levels in the environment can affect various
organs of human body. Various chemicals that cause the
decline of air quality are inhaled and absorbed in human
body instigating allergies, sensitivities etc. Poor air quality
may have much injurious effect on the younger generation
specially those residing in University premises. Most of the
student’s time is spent University campus and in air-
conditioned environment where there is limited scope of
fresh air circulation[2], it is important to monitor the air
quality for increased levelsofO3,No2,CO,Co2 andVOC.These
gases are toxic innature [3] and itmayhave somereasonsfor
various illness in students resulting in poor concentration,
irregular attendance in classandpooracademicperformance.
Therefore very important to understand the actual
acceptable levelsof various contaminantsthatarebeingrated
by different agencies[4].
Fig.1 illustrates the level of air quality in various countries
across the world. It may be observed from the figure that
condition of air quality in Myanmar is quite presented.
It has been also found that persistent level of enhanced
Containment in air can prove to be fatal for all the living
being including Humans[6]. Therefore ,it has been observed
That air pollutionis one of the major causes of the global
deaths and premature deaths.
Fig.1. Level of Poor IAQ in various parts of World [5]
Fig.2. Percentage of death from ambient Particulate Matter
pollution in the World.
IJTSRD26554](https://image.slidesharecdn.com/197airqualitymonitoringandcontrolsysteminiot-190910105622/85/Air-Quality-Monitoring-and-Control-System-in-IoT-1-320.jpg)
![International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD26554 | Volume – 3 | Issue – 5 | July - August 2019 Page 1029
Related work
IoT based air quality monitoring system has collected a lot of
attention and various researchers have developed different
microcontroller-based arrangement [8][9]. Temporal
variation of CO and CO2 concentration in indoor
environment has been investigated in detail by Kiuriski et al
[10]. The study concludes the level of these two gases
increases to a peak value at certain times in a day and
proper ventilation could help in reducing the harmful effect
of these gases within the confined environment. Fioccola etal
[11] built a system based on Arduino board. Although the
system used cloud platform, however, the presented system
is not wireless. Further in the readings obtained from
sensor are not stored locally hence in case of interruption
in internet connection the acquired data will be lost.
Postolache et al. [12] presented a Wi-Fi indoor air quality
management system with multiplesensor nodes. The system
employed Lab VIEW web server and laptop as main
processing and control unitwhichperformedneuralnetwork
analysis on the received from each sensor node.
Proposed System
Most of the above studies are have not considered possible
remedies that may be employed to reduce the harmful
effect of toxic gases. In this proposed system that have
devised an IOT based Air contamination observing
framework using Googlecloud that monitors the air quality
in real time using sensors for measuring Air Quality
parameters. Cloud computing platform is utilized to store
and process data. The system will generate an alert when
quality of air deteriorates beyond the permissible limits. If
the air quality is detected at environment of university
level, preventive measures may be implemented which will
reduce potential risks to students, staff and environment
residents. Further, analysis of causes of increased
pollutants at an instant of time would benefit those
potentially endangered by significantly high concentrations
of air pollutants. The rest of the proposedsystemisorganized
as follows section A deal with system overview design,
before the conclusion section provides the results, methods
to improve air quality are discussed in the end of section
concludes the paper.
A. System Design of Air Quality Monitoring System
The air quality monitoring system proposed in this work has
four main sensors assembly and ESP8266 based IoT board.
Some of the important features that need to be considered
for selecting IoT platform for a particular application are
the size of memory, number of general purpose input pins,
peripheral communications such as SPI, I2C, USART and its
communication capacities like Ethernet, Wi-fi, Bluetooth,
Zigbee etc. ESP 8266 module is one of the most powerful
IoT enabled boards that satisfies therequirement of present
application. It consists of a 32-bit RISC CPU: Tensilica
Xtensa LX106 ,64 KB internal memory, 96 KB memory for
data storage and 4MB Flash memory. Google script can
generate its own Wi-fi network via connectivity module
ESP8266. Architecture of the proposed IoT Indoor/Outdoor
Air Quality management system is shown in Fig. 2. Data
generated by the Air Quality sensor is first received and
processed by PIC18F45K22, which is a 40-pin
microcontroller. It has five ports, three timers and it can
support various communication protocols. Some of the
important supported protocols are Parallel protocol, Serial
Protocol and Inter-Integrated Circuit (I2C) protocol. The
gateway for data transmission to the cloud was built using
connectivity module ESP8266 on the Google IoT cloud
platform. The gateway operates on TCP/IP protocol. The
sensor data is converted to IP packets and forwarded over
the Wi-Fi network. Transmitted data is stored and further
processed at Google cloud and an alert is generated if air
quality deteriorates below a certain threshold.
Fig.2. System overview of the Air Quality Monitoring
System
B. Block Diagram
The block diagram of the proposed the system is shown
inFig.3.Our proposed system acquires inputs from various
sensors which detect air quality. These acquired inputs are
conditioned andprovided to the control unit which processes
thesesignals. The algorithm in the controlunitpredictstheair
quality and this information are transmitted to the traffic
control station. Based on this information traffic can be
regulated to control air quality. This information can also be
viewed using a mobile application. This additional feature
allows users to follow less polluted routes thereby indirectly
bringing down pollution in highly polluted areas. System
overview of the Air Quality Monitoring System is shown in
Fig.2.
Fig.3.Block Diagram of Proposed system
C. Experimental Setup
The proposed system was developed using the
PIC18F45k22.The environmental setup for the developed
system is shown in Fig 4.The work was prototyped and we
have we considered sensors, MQ-7 which measures carbon-
monoxide, MQ135-which measures ammonia, MQ4-which
measures methane gas, and G37-for amount of oxygen. The
sensor inputs are acquired and undergo signal conditioning.
The output from the signal conditioning circuit is then
provided as input to an analog to digital converter of 10 bit
resolution, which inputs these PIC18F45K22.](https://image.slidesharecdn.com/197airqualitymonitoringandcontrolsysteminiot-190910105622/85/Air-Quality-Monitoring-and-Control-System-in-IoT-2-320.jpg)
![International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD26554 | Volume – 3 | Issue – 5 | July - August 2019 Page 1030
Theinputs are giventoan air qualitymonitoralgorithmwhich
gets input values and compares them with threshold values.
The air quality information is then transmitted via a WiFi
transceiver-ESP 8266 to a remote server from where this
information canbe accessed bythe trafficcontrolstation.This
information can also be accessed through a mobile
application. The designed system not only sends a message
but also displays the status of the parameters of air quality
through a CLCD display.
Fig.4. Environmental setup of proposed system
Wi-Fi Module
Fig.5. ESP 8266 Wi-Fi enabled IoT Platform
Cloud computing is the platform of us in gremote servers on
the internet to control, store and process data in its place of
using a Personal Computer. It is an integral part of IoT based
systems. ESP 8266 Wi-Fi module is shown in Fig. 5. It is
configured using Net plug application thatshowsthelistofall
the devices connected and the nusing a password and wi-fi
name, procedure can be configured. The data received by
sensor is saved in PIC18F45K22 and it is uploaded on the
Google cloud via ESP 8266 Wi-Fi Module. The system utilizes
Google’s quick alert system that is configured to send alerts
to the contacts listed when the threshold is crossed.
Results And Discussion
A. Test case
Theproposed system was prototyped and tested.Thesystem
was validated using various test cases
Test case-1: Acquiring inputs from sensor
Test case-2: Processing data
Test case-3: Wireless Transmission
Test case-4: Display of gases present in CLCD.
The proposed system datastored inGoogle cloud isshown in
Fig.6.
Fig.6. ESP 8266 Google sheet
Conclusion
The proposed system was designed and tested in IoT
environment. It measures the air quality of a particular area
with the help of the hardware module fixed at certain
locations like lamp posts. The proposed system collected real
time pollution statistics using various sensors which
monitored percentage of gases like ammonia, oxygen and
carbonmonoxide.Using theseinputs the algorithm predicted
the air quality. Although there are a huge number of existing
systems, the proposed system provides a unique feature by
transmitting calculated information for traffic control
purposesif the airqualityis harmful.The additionalbenefitof
theproposed system isthe mobile application whichwillhelp
the common guy understand and be aware of the pollution
status of localities. This information can also lead to people
makinga contributiondirectlytoreduce pollution levels.This
proposed system can be optimized to consume less power as
this will be a battery or solar powered module.
FUTURE WORK
This module can be deployed in all cities selected for the
smart city project in our country. This will make our smart
cities places where people can live a healthier life.
REFERENCES
[1] Hugo Destaillats, RandyL. Maddalena, BrettC. Singer,
AlfredT. Hodgson and Thomas E. McKone “Indoor
pollutants emitted by office equipment: Are view of
reported data and information needs”, Atmosphere
Journal, Volume42, ISBN-1352-2310, 2008.
[2] IngridJohansson, PeterCarlsson, MikaelSandberg,
AndersKumlin, ”Emissions from concretean indoor air
qualityissue?”10th Nordic Symposium on Building
Physics,pp-330-337.
[3] Wen-BenYang, Wei-HsiangChen,Chung-ShinYuan,Jun-
ChenYangandQing-LiangZhao,’ Comparative
assessments of VOC emission rates and associated
health risks from waste water treatment processes,
Royal Society of Chemistry, 2012.
[4] LilliKirkeskovJensen, Annelise Larsen, LarsMolhave,
Mogens KraghHansen, BodilKnudsen‘ Health
Evaluation of Volatile Organic Compound (VOC)
Emissions from Wood and Wood-Based Materials’,
Archives of Environmental Health,Volume56,
Issue5,Pages419-432,2001.
[5] AmbientAirPollutionDatabase,WHO2014
[6] B. F. Yu, Z. B. Hu, M. Liu, H. L. Yang, Q. X. Kong, Y. H. Liu,
Review of research on air-conditioning system sand](https://image.slidesharecdn.com/197airqualitymonitoringandcontrolsysteminiot-190910105622/85/Air-Quality-Monitoring-and-Control-System-in-IoT-3-320.jpg)
![International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD26554 | Volume – 3 | Issue – 5 | July - August 2019 Page 1031
indoor air quality control for human health,
International Journal of Refrigeration, Volume32,
Issue1, Pages3-20, 2009.
[7] Pallavi Asthana; Sumita , IoT Enabled Real Time Bolt
based Indoor Air Quality Monitoring System, 2018
International Conference on Computational and
Characterization Techniques inEngineering&Sciences
(CCTES)Integral University, Lucknow,India,Sep14-15,
2018
[8] [9]RivelinoM.CavalcanteMárciaV.F.deAndradeRozaneV.
MarinsLincolnD.M.Oliveira,’Development of a head
space-gas chromatography(HS-GC-PID-FID) method
for the determination of VOCs in environmental
aqueous matrices: Optimization, verification and
elimination of matrix effect and VOC distribution on
the Fortaleza Coast, Brazil, Micro chemical Journal,
Volume96, Issue 2, Pages337-343, 2010
[9] J. S. Kiurski, I. B. Oros, V. S. Kecic, I. M. Kovacevic and S.
M. Aksentijevic,” The temporal variation of indoor
pollutants in photocopying shop,” Stochastic
Environmental Research and Risk Assessment, vol.30,
no.4, pp.1289-1300, 2016
[10] Fioccola, G. B.; Sommese, R.; Tufano, I.; Canonico, R.;
Ventre, G. Polluino’ An efficient cloud-based
management of IoT devices for air quality monitoring’
IEEE2nd International Forum on Research and
Technologies for Society and Industry Leveraging a
Better Tomorrow (RTSI), 2016.
[11] Postolache, O. A.; Pereira, J. D.; Girão, P. S. Smart
sensors network for air quality monitoring
applications. IEEE Trans. In strum. Meas., 58, 3253–
3262, 2009.](https://image.slidesharecdn.com/197airqualitymonitoringandcontrolsysteminiot-190910105622/85/Air-Quality-Monitoring-and-Control-System-in-IoT-4-320.jpg)
Air Quality Monitoring and Control System in IoT
- 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 3 Issue 5, August 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD26554 | Volume – 3 | Issue – 5 | July - August 2019 Page 1028 Air Quality Monitoring and Control System in IoT Soe Soe Mon, Thida Soe, Khin Aye Thu Lecturer, Faculty of Computer Systems and Technologies, University of Computer Studies, Hinthada, Myanmar How to cite this paper: Soe Soe Mon | Thida Soe | Khin Aye Thu "Air Quality Monitoring and Control System in IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-5, August 2019, pp.1028-1031, https://doi.org/10.31142/ijtsrd26554 Copyright © 2019 by author(s) and International Journalof Trendin Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (CC BY 4.0) (http://creativecommons.org/licenses/by /4.0) ABSTRACT Air pollution that refers to the contamination of the air,irrespectiveof indoors or outside. A physical, biological or chemical alteration to the air in the atmosphere can be termed as pollution. It occurs when any harmful gases, dust, smoke enters into the atmosphere and makes it difficult for plants, animals, and humans to survive as the air becomes dirty. Proposed system considers pollution due to automobiles and provide a realtimesolution which is not just monitors pollution levels but also take into consideration control measures for reducing traffic and industrial zone in highly polluted areas.The solution is provided by a sensor based hardware module which can be placed along roads and plants. These modules can be placed on lamp posts and they transfer information about airqualitywirelesslyto cloud server.Theproposed system also provides about air quality information through a mobile application which enables commuters to take up routes where air quality is good. KEYWORDS: air pollution; sensor; IoT; hardware; traffic control INTRODUCTION In the genrerationof fast data transmission over internet, Internet of Thingshas attained a lot of power. It can be enable various devices to communicate over communications Channel and store the data on a cloud database through network. IoT canbe utilized to monitor indoor or outdoor airqualityin realtime. There are various things in universities environment that cause to the poor quality of air like fresh paints, polish on the wooden surface, photocopier machines, traffic,smokeetc.[1]. When the level of the controlling increases beyond the permissible levels in the environment can affect various organs of human body. Various chemicals that cause the decline of air quality are inhaled and absorbed in human body instigating allergies, sensitivities etc. Poor air quality may have much injurious effect on the younger generation specially those residing in University premises. Most of the student’s time is spent University campus and in air- conditioned environment where there is limited scope of fresh air circulation[2], it is important to monitor the air quality for increased levelsofO3,No2,CO,Co2 andVOC.These gases are toxic innature [3] and itmayhave somereasonsfor various illness in students resulting in poor concentration, irregular attendance in classandpooracademicperformance. Therefore very important to understand the actual acceptable levelsof various contaminantsthatarebeingrated by different agencies[4]. Fig.1 illustrates the level of air quality in various countries across the world. It may be observed from the figure that condition of air quality in Myanmar is quite presented. It has been also found that persistent level of enhanced Containment in air can prove to be fatal for all the living being including Humans[6]. Therefore ,it has been observed That air pollutionis one of the major causes of the global deaths and premature deaths. Fig.1. Level of Poor IAQ in various parts of World [5] Fig.2. Percentage of death from ambient Particulate Matter pollution in the World. IJTSRD26554
- 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD26554 | Volume – 3 | Issue – 5 | July - August 2019 Page 1029 Related work IoT based air quality monitoring system has collected a lot of attention and various researchers have developed different microcontroller-based arrangement [8][9]. Temporal variation of CO and CO2 concentration in indoor environment has been investigated in detail by Kiuriski et al [10]. The study concludes the level of these two gases increases to a peak value at certain times in a day and proper ventilation could help in reducing the harmful effect of these gases within the confined environment. Fioccola etal [11] built a system based on Arduino board. Although the system used cloud platform, however, the presented system is not wireless. Further in the readings obtained from sensor are not stored locally hence in case of interruption in internet connection the acquired data will be lost. Postolache et al. [12] presented a Wi-Fi indoor air quality management system with multiplesensor nodes. The system employed Lab VIEW web server and laptop as main processing and control unitwhichperformedneuralnetwork analysis on the received from each sensor node. Proposed System Most of the above studies are have not considered possible remedies that may be employed to reduce the harmful effect of toxic gases. In this proposed system that have devised an IOT based Air contamination observing framework using Googlecloud that monitors the air quality in real time using sensors for measuring Air Quality parameters. Cloud computing platform is utilized to store and process data. The system will generate an alert when quality of air deteriorates beyond the permissible limits. If the air quality is detected at environment of university level, preventive measures may be implemented which will reduce potential risks to students, staff and environment residents. Further, analysis of causes of increased pollutants at an instant of time would benefit those potentially endangered by significantly high concentrations of air pollutants. The rest of the proposedsystemisorganized as follows section A deal with system overview design, before the conclusion section provides the results, methods to improve air quality are discussed in the end of section concludes the paper. A. System Design of Air Quality Monitoring System The air quality monitoring system proposed in this work has four main sensors assembly and ESP8266 based IoT board. Some of the important features that need to be considered for selecting IoT platform for a particular application are the size of memory, number of general purpose input pins, peripheral communications such as SPI, I2C, USART and its communication capacities like Ethernet, Wi-fi, Bluetooth, Zigbee etc. ESP 8266 module is one of the most powerful IoT enabled boards that satisfies therequirement of present application. It consists of a 32-bit RISC CPU: Tensilica Xtensa LX106 ,64 KB internal memory, 96 KB memory for data storage and 4MB Flash memory. Google script can generate its own Wi-fi network via connectivity module ESP8266. Architecture of the proposed IoT Indoor/Outdoor Air Quality management system is shown in Fig. 2. Data generated by the Air Quality sensor is first received and processed by PIC18F45K22, which is a 40-pin microcontroller. It has five ports, three timers and it can support various communication protocols. Some of the important supported protocols are Parallel protocol, Serial Protocol and Inter-Integrated Circuit (I2C) protocol. The gateway for data transmission to the cloud was built using connectivity module ESP8266 on the Google IoT cloud platform. The gateway operates on TCP/IP protocol. The sensor data is converted to IP packets and forwarded over the Wi-Fi network. Transmitted data is stored and further processed at Google cloud and an alert is generated if air quality deteriorates below a certain threshold. Fig.2. System overview of the Air Quality Monitoring System B. Block Diagram The block diagram of the proposed the system is shown inFig.3.Our proposed system acquires inputs from various sensors which detect air quality. These acquired inputs are conditioned andprovided to the control unit which processes thesesignals. The algorithm in the controlunitpredictstheair quality and this information are transmitted to the traffic control station. Based on this information traffic can be regulated to control air quality. This information can also be viewed using a mobile application. This additional feature allows users to follow less polluted routes thereby indirectly bringing down pollution in highly polluted areas. System overview of the Air Quality Monitoring System is shown in Fig.2. Fig.3.Block Diagram of Proposed system C. Experimental Setup The proposed system was developed using the PIC18F45k22.The environmental setup for the developed system is shown in Fig 4.The work was prototyped and we have we considered sensors, MQ-7 which measures carbon- monoxide, MQ135-which measures ammonia, MQ4-which measures methane gas, and G37-for amount of oxygen. The sensor inputs are acquired and undergo signal conditioning. The output from the signal conditioning circuit is then provided as input to an analog to digital converter of 10 bit resolution, which inputs these PIC18F45K22.
- 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD26554 | Volume – 3 | Issue – 5 | July - August 2019 Page 1030 Theinputs are giventoan air qualitymonitoralgorithmwhich gets input values and compares them with threshold values. The air quality information is then transmitted via a WiFi transceiver-ESP 8266 to a remote server from where this information canbe accessed bythe trafficcontrolstation.This information can also be accessed through a mobile application. The designed system not only sends a message but also displays the status of the parameters of air quality through a CLCD display. Fig.4. Environmental setup of proposed system Wi-Fi Module Fig.5. ESP 8266 Wi-Fi enabled IoT Platform Cloud computing is the platform of us in gremote servers on the internet to control, store and process data in its place of using a Personal Computer. It is an integral part of IoT based systems. ESP 8266 Wi-Fi module is shown in Fig. 5. It is configured using Net plug application thatshowsthelistofall the devices connected and the nusing a password and wi-fi name, procedure can be configured. The data received by sensor is saved in PIC18F45K22 and it is uploaded on the Google cloud via ESP 8266 Wi-Fi Module. The system utilizes Google’s quick alert system that is configured to send alerts to the contacts listed when the threshold is crossed. Results And Discussion A. Test case Theproposed system was prototyped and tested.Thesystem was validated using various test cases Test case-1: Acquiring inputs from sensor Test case-2: Processing data Test case-3: Wireless Transmission Test case-4: Display of gases present in CLCD. The proposed system datastored inGoogle cloud isshown in Fig.6. Fig.6. ESP 8266 Google sheet Conclusion The proposed system was designed and tested in IoT environment. It measures the air quality of a particular area with the help of the hardware module fixed at certain locations like lamp posts. The proposed system collected real time pollution statistics using various sensors which monitored percentage of gases like ammonia, oxygen and carbonmonoxide.Using theseinputs the algorithm predicted the air quality. Although there are a huge number of existing systems, the proposed system provides a unique feature by transmitting calculated information for traffic control purposesif the airqualityis harmful.The additionalbenefitof theproposed system isthe mobile application whichwillhelp the common guy understand and be aware of the pollution status of localities. This information can also lead to people makinga contributiondirectlytoreduce pollution levels.This proposed system can be optimized to consume less power as this will be a battery or solar powered module. FUTURE WORK This module can be deployed in all cities selected for the smart city project in our country. This will make our smart cities places where people can live a healthier life. REFERENCES [1] Hugo Destaillats, RandyL. Maddalena, BrettC. Singer, AlfredT. Hodgson and Thomas E. McKone “Indoor pollutants emitted by office equipment: Are view of reported data and information needs”, Atmosphere Journal, Volume42, ISBN-1352-2310, 2008. [2] IngridJohansson, PeterCarlsson, MikaelSandberg, AndersKumlin, ”Emissions from concretean indoor air qualityissue?”10th Nordic Symposium on Building Physics,pp-330-337. [3] Wen-BenYang, Wei-HsiangChen,Chung-ShinYuan,Jun- ChenYangandQing-LiangZhao,’ Comparative assessments of VOC emission rates and associated health risks from waste water treatment processes, Royal Society of Chemistry, 2012. [4] LilliKirkeskovJensen, Annelise Larsen, LarsMolhave, Mogens KraghHansen, BodilKnudsen‘ Health Evaluation of Volatile Organic Compound (VOC) Emissions from Wood and Wood-Based Materials’, Archives of Environmental Health,Volume56, Issue5,Pages419-432,2001. [5] AmbientAirPollutionDatabase,WHO2014 [6] B. F. Yu, Z. B. Hu, M. Liu, H. L. Yang, Q. X. Kong, Y. H. Liu, Review of research on air-conditioning system sand
- 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD26554 | Volume – 3 | Issue – 5 | July - August 2019 Page 1031 indoor air quality control for human health, International Journal of Refrigeration, Volume32, Issue1, Pages3-20, 2009. [7] Pallavi Asthana; Sumita , IoT Enabled Real Time Bolt based Indoor Air Quality Monitoring System, 2018 International Conference on Computational and Characterization Techniques inEngineering&Sciences (CCTES)Integral University, Lucknow,India,Sep14-15, 2018 [8] [9]RivelinoM.CavalcanteMárciaV.F.deAndradeRozaneV. MarinsLincolnD.M.Oliveira,’Development of a head space-gas chromatography(HS-GC-PID-FID) method for the determination of VOCs in environmental aqueous matrices: Optimization, verification and elimination of matrix effect and VOC distribution on the Fortaleza Coast, Brazil, Micro chemical Journal, Volume96, Issue 2, Pages337-343, 2010 [9] J. S. Kiurski, I. B. Oros, V. S. Kecic, I. M. Kovacevic and S. M. Aksentijevic,” The temporal variation of indoor pollutants in photocopying shop,” Stochastic Environmental Research and Risk Assessment, vol.30, no.4, pp.1289-1300, 2016 [10] Fioccola, G. B.; Sommese, R.; Tufano, I.; Canonico, R.; Ventre, G. Polluino’ An efficient cloud-based management of IoT devices for air quality monitoring’ IEEE2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow (RTSI), 2016. [11] Postolache, O. A.; Pereira, J. D.; Girão, P. S. Smart sensors network for air quality monitoring applications. IEEE Trans. In strum. Meas., 58, 3253– 3262, 2009.