An integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index

Poor indoor air quality (IAQ) may pose threats to human’s health. The concentration level of harmful gases and contaminants in polluted indoor air is up to five times higher than in normal indoor air. In order to ensure that people breathe-in safe air comfortably in the indoor air environments, cont...

Full description

Saved in:

Bibliographic Details
Format:	Thesis
Language:	English
Subjects:	Indoor air quality Detectors Infrared array detectors
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/3/Declaration%20Form.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-unimap-75761
record_format	uketd_dc
spelling	my-unimap-757612022-07-18T07:56:34Z An integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index Ali Yeon, Md. Shakaff, Prof. Dr. Poor indoor air quality (IAQ) may pose threats to human’s health. The concentration level of harmful gases and contaminants in polluted indoor air is up to five times higher than in normal indoor air. In order to ensure that people breathe-in safe air comfortably in the indoor air environments, continuous IAQ monitoring is deemed important. The main objective of this study is to develop an integrated indoor air quality monitoring system (IAQMS) with pollutants recognition and Enhanced Indoor Air Quality Index (EIAQI). The wireless IAQMS adopts an array of sensors including gas sensors, particle sensors and thermal sensors to detect multiple pollutant parameters at a relatively low cost as compared to the professional sensing devices. Overall, this study uses eight sensors to measure nine indoor air pollutants which are Oxygen (O2), Carbon Dioxide (CO2), Carbon Monoxide (CO), Ozone (O3), Nitrogen Dioxide (NO2), Volatile Organic Compounds (VOCs), Particulate Matter (PM), Temperature (Temp) and Relative Humidity (RH). This IAQMS has successfully recognized five sources of indoor air pollution with classification rate of 100%. These five sources of indoor air pollution are: ambient air, human activity, presence of chemical, presence of fragrance and presence of food and beverage, are successfully classified by Multilayer Perceptron (MLP) and KNearest Neighbour (KNN) using Vector Array Normalization (VAN) before Principle Component Analysis (PCA) feature. Finally, the last objective of this study is to integrate the IAQMS with EIAQI. This study proposes an EIAQI which comprises of three different indices: Indoor Air Quality Index (IAQI), Thermal Comfort Index (TCI) and Smell Index (SI). IAQI utilized the seven air parameters to measure the quality of indoor air and shows the status of IAQ whether it is “Good”, “Moderate”, “Unhealthy” or “Hazardous”. This IAQI is developed using Air Quality Index (AQI) from the United States Environmental Protection Agency (US EPA) as its main reference. TCI applied the same principle with IAQI. The TCI used Temp and RH to indicate the thermal comfort level of a room. Therefore, TCI status is shown either as “Most Comfort”, “Comfort”, “Less Comfort” or “Least Comfort”. In contrast with the IAQI and TCI which generate their index based on single pollutant parameter, SI is generated based on an array of pollutant parameters. For example, IAQI is determined based on single pollutant that gives the lowest rate. SI on the other hand, generates the smell perceptions based on all nine pollutants input. The final result would be classified as either the smell is “Neutral”, “Pleasant” or “Unpleasant”. After all individual index has been obtained, an EIAQI is formulated which combines all the previous three indices. This EIAQI informs the users about the overall comfort status in the room. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75761 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/4/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/1/Page%201-24.pdf a345b3baccf40156f4c0beeab093d20c http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/2/Full%20text.pdf a02bb4dc8d805952520ca484ee439647 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/3/Declaration%20Form.pdf 6d9dda15fe20cc03944a96500020c110 Universiti Malaysia Perlis (UniMAP) Indoor air quality Detectors Infrared array detectors School of Mechatronic Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Ali Yeon, Md. Shakaff, Prof. Dr.
topic	Indoor air quality Detectors Infrared array detectors
spellingShingle	Indoor air quality Detectors Infrared array detectors An integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index
description	Poor indoor air quality (IAQ) may pose threats to human’s health. The concentration level of harmful gases and contaminants in polluted indoor air is up to five times higher than in normal indoor air. In order to ensure that people breathe-in safe air comfortably in the indoor air environments, continuous IAQ monitoring is deemed important. The main objective of this study is to develop an integrated indoor air quality monitoring system (IAQMS) with pollutants recognition and Enhanced Indoor Air Quality Index (EIAQI). The wireless IAQMS adopts an array of sensors including gas sensors, particle sensors and thermal sensors to detect multiple pollutant parameters at a relatively low cost as compared to the professional sensing devices. Overall, this study uses eight sensors to measure nine indoor air pollutants which are Oxygen (O2), Carbon Dioxide (CO2), Carbon Monoxide (CO), Ozone (O3), Nitrogen Dioxide (NO2), Volatile Organic Compounds (VOCs), Particulate Matter (PM), Temperature (Temp) and Relative Humidity (RH). This IAQMS has successfully recognized five sources of indoor air pollution with classification rate of 100%. These five sources of indoor air pollution are: ambient air, human activity, presence of chemical, presence of fragrance and presence of food and beverage, are successfully classified by Multilayer Perceptron (MLP) and KNearest Neighbour (KNN) using Vector Array Normalization (VAN) before Principle Component Analysis (PCA) feature. Finally, the last objective of this study is to integrate the IAQMS with EIAQI. This study proposes an EIAQI which comprises of three different indices: Indoor Air Quality Index (IAQI), Thermal Comfort Index (TCI) and Smell Index (SI). IAQI utilized the seven air parameters to measure the quality of indoor air and shows the status of IAQ whether it is “Good”, “Moderate”, “Unhealthy” or “Hazardous”. This IAQI is developed using Air Quality Index (AQI) from the United States Environmental Protection Agency (US EPA) as its main reference. TCI applied the same principle with IAQI. The TCI used Temp and RH to indicate the thermal comfort level of a room. Therefore, TCI status is shown either as “Most Comfort”, “Comfort”, “Less Comfort” or “Least Comfort”. In contrast with the IAQI and TCI which generate their index based on single pollutant parameter, SI is generated based on an array of pollutant parameters. For example, IAQI is determined based on single pollutant that gives the lowest rate. SI on the other hand, generates the smell perceptions based on all nine pollutants input. The final result would be classified as either the smell is “Neutral”, “Pleasant” or “Unpleasant”. After all individual index has been obtained, an EIAQI is formulated which combines all the previous three indices. This EIAQI informs the users about the overall comfort status in the room.
format	Thesis
title	An integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index
title_short	An integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index
title_full	An integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index
title_fullStr	An integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index
title_full_unstemmed	An integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index
title_sort	integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Mechatronic Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/75761/3/Declaration%20Form.pdf
_version_	1776104243783008256

An integrated indoor air quality monitoring system with pollutants recognition and enhanced indoor air quality index

Similar Items