Converting air quality monitoring low cost sensor data to digital value via mobile interface

© 2016 IEEE. Particle pollution problem has become widely catastrophic in many countries around the world. During outdoor activity, many people have to face the effects of particle pollution in the atmosphere. This is the main cause for respiratory health defects, such as heart, vascular, stroke and...

Full description

Saved in:
Bibliographic Details
Main Authors: Piyavach Khunsongkiet, Ekkarat Boonchieng
Format: Conference Proceeding
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015942243&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/46862
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-46862
record_format dspace
spelling th-cmuir.6653943832-468622018-04-25T07:27:24Z Converting air quality monitoring low cost sensor data to digital value via mobile interface Piyavach Khunsongkiet Ekkarat Boonchieng Agricultural and Biological Sciences © 2016 IEEE. Particle pollution problem has become widely catastrophic in many countries around the world. During outdoor activity, many people have to face the effects of particle pollution in the atmosphere. This is the main cause for respiratory health defects, such as heart, vascular, stroke and lung disease. In order to protect and prevent people from the particle matter area, this research shows the step of implementing the mobile application sensor, while checking sensitivity when it is connected. Using this existing low cost SDS011 sensor with CE, RoHS and FCC standard and testing mobility detects PM 10 and PM 2.5 value. Moreover, this research plots linear regression graphs to present the trend of the PM that is parallel with the x-Axis. This illustration shows the promising performance of the sensor application after only a short period of time collecting data. Not only is this device more convenient than the bigger model due to its small size, but its ability to connect to an app on smart phones makes it ubiquitous. Moreover, we look forward to our future work where multiple devices can be placed next each other in the same areas. This will lead us to make an accurate quarantine area of the air pollution problem. Furthermore, this data can be used in forecasting combined with respiratory, cardiovascular or related diseases. 2018-04-25T07:03:20Z 2018-04-25T07:03:20Z 2017-02-21 Conference Proceeding 2-s2.0-85015942243 10.1109/BMEiCON.2016.7859628 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015942243&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46862
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Piyavach Khunsongkiet
Ekkarat Boonchieng
Converting air quality monitoring low cost sensor data to digital value via mobile interface
description © 2016 IEEE. Particle pollution problem has become widely catastrophic in many countries around the world. During outdoor activity, many people have to face the effects of particle pollution in the atmosphere. This is the main cause for respiratory health defects, such as heart, vascular, stroke and lung disease. In order to protect and prevent people from the particle matter area, this research shows the step of implementing the mobile application sensor, while checking sensitivity when it is connected. Using this existing low cost SDS011 sensor with CE, RoHS and FCC standard and testing mobility detects PM 10 and PM 2.5 value. Moreover, this research plots linear regression graphs to present the trend of the PM that is parallel with the x-Axis. This illustration shows the promising performance of the sensor application after only a short period of time collecting data. Not only is this device more convenient than the bigger model due to its small size, but its ability to connect to an app on smart phones makes it ubiquitous. Moreover, we look forward to our future work where multiple devices can be placed next each other in the same areas. This will lead us to make an accurate quarantine area of the air pollution problem. Furthermore, this data can be used in forecasting combined with respiratory, cardiovascular or related diseases.
format Conference Proceeding
author Piyavach Khunsongkiet
Ekkarat Boonchieng
author_facet Piyavach Khunsongkiet
Ekkarat Boonchieng
author_sort Piyavach Khunsongkiet
title Converting air quality monitoring low cost sensor data to digital value via mobile interface
title_short Converting air quality monitoring low cost sensor data to digital value via mobile interface
title_full Converting air quality monitoring low cost sensor data to digital value via mobile interface
title_fullStr Converting air quality monitoring low cost sensor data to digital value via mobile interface
title_full_unstemmed Converting air quality monitoring low cost sensor data to digital value via mobile interface
title_sort converting air quality monitoring low cost sensor data to digital value via mobile interface
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015942243&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/46862
_version_ 1681422953270476800