Air polution index (API) real time monitoring system

This project is to develop a low cost, mobile Air Pollutant Index (API) Monitoring System, which consists of Sharp GP2Y1010AU0F optical dust detector as a sensor for dust, Arduino Uno and LCD Keypad Shield. A signal conditioner has been used to amplify and extend the range of the sensor reading for...

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Bibliographic Details
Main Author: Ruslan, Norhafizah
Format: Thesis
Language:English
English
English
Published: 2015
Subjects:
TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution
Online Access:http://eprints.uthm.edu.my/1405/
Abstract Abstract here
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author Ruslan, Norhafizah
author_facet Ruslan, Norhafizah
author_sort Ruslan, Norhafizah
description This project is to develop a low cost, mobile Air Pollutant Index (API) Monitoring System, which consists of Sharp GP2Y1010AU0F optical dust detector as a sensor for dust, Arduino Uno and LCD Keypad Shield. A signal conditioner has been used to amplify and extend the range of the sensor reading for a more accurate result. Readings from the sensor has been compared with reference data from the Department of Environment, Malaysia to ensure the results validity of the developed system. The developed dust detector is expected to provide a relatively accurate API reading and suitable to be used for the detection and monitoring of dust concentrations for industrial areas around Parit Raja, Johor.
format Thesis
id uthm-1405
institution Universiti Tun Hussein Onn Malaysia
language English
English
English
publishDate 2015
record_format EPrints
record_pdf Restricted
spelling uthm-14052021-10-03T06:45:22Z http://eprints.uthm.edu.my/1405/ Air polution index (API) real time monitoring system Ruslan, Norhafizah TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution This project is to develop a low cost, mobile Air Pollutant Index (API) Monitoring System, which consists of Sharp GP2Y1010AU0F optical dust detector as a sensor for dust, Arduino Uno and LCD Keypad Shield. A signal conditioner has been used to amplify and extend the range of the sensor reading for a more accurate result. Readings from the sensor has been compared with reference data from the Department of Environment, Malaysia to ensure the results validity of the developed system. The developed dust detector is expected to provide a relatively accurate API reading and suitable to be used for the detection and monitoring of dust concentrations for industrial areas around Parit Raja, Johor. 2015-01 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/1405/2/NUR%20HAFIZAH%20RUSLAN%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/1405/1/24p%20NUR%20HAFIZAH%20RUSLAN.pdf text en http://eprints.uthm.edu.my/1405/3/NUR%20HAFIZAH%20RUSLAN%20WATERMARK.pdf Ruslan, Norhafizah (2015) Air polution index (API) real time monitoring system. Masters thesis, Universiti Tun Hussein Onn Malaysia.
spellingShingle TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution
Ruslan, Norhafizah
Air polution index (API) real time monitoring system
thesis_level Master
title Air polution index (API) real time monitoring system
title_full Air polution index (API) real time monitoring system
title_fullStr Air polution index (API) real time monitoring system
title_full_unstemmed Air polution index (API) real time monitoring system
title_short Air polution index (API) real time monitoring system
title_sort air polution index api real time monitoring system
topic TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution
url http://eprints.uthm.edu.my/1405/
work_keys_str_mv AT ruslannorhafizah airpolutionindexapirealtimemonitoringsystem

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