Air quality monitoring station for home automation
Air pollution has caused significant negative impacts on the well-being of people, in particular the elderly population. The Elderly are the most susceptible to diseases arising from prolonged exposure to harmful fine particles in the air. Many do not know how to combat air pollution as they are not...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/149250 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-149250 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1492502023-07-07T18:24:38Z Air quality monitoring station for home automation Tan, David Qing Wei Yvonne Lam Ying Hung School of Electrical and Electronic Engineering EYHLAM@ntu.edu.sg Engineering::Electrical and electronic engineering::Applications of electronics Air pollution has caused significant negative impacts on the well-being of people, in particular the elderly population. The Elderly are the most susceptible to diseases arising from prolonged exposure to harmful fine particles in the air. Many do not know how to combat air pollution as they are not aware of the quality of air in their homes, while others lack the physical means to take action to improve the quality of air at home. Hence, there is an urgent need to find a solution to increase awareness on this issue, and remove the barriers that are preventing the elderly from taking action to improve air quality in their homes. This project aims to create a system that makes use of home automation to monitor and improve the quality of air in the homes of the elderly. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-29T06:01:33Z 2021-05-29T06:01:33Z 2021 Final Year Project (FYP) Tan, D. Q. W. (2021). Air quality monitoring station for home automation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149250 https://hdl.handle.net/10356/149250 en application/pdf Nanyang Technological University |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Electrical and electronic engineering::Applications of electronics |
spellingShingle |
Engineering::Electrical and electronic engineering::Applications of electronics Tan, David Qing Wei Air quality monitoring station for home automation |
description |
Air pollution has caused significant negative impacts on the well-being of people, in particular the elderly population. The Elderly are the most susceptible to diseases arising from prolonged exposure to harmful fine particles in the air. Many do not know how to combat air pollution as they are not aware of the quality of air in their homes, while others lack the physical means to take action to improve the quality of air at home. Hence, there is an urgent need to find a solution to increase awareness on this issue, and remove the barriers that are preventing the elderly from taking action to improve air quality in their homes.
This project aims to create a system that makes use of home automation to monitor and improve the quality of air in the homes of the elderly. |
author2 |
Yvonne Lam Ying Hung |
author_facet |
Yvonne Lam Ying Hung Tan, David Qing Wei |
format |
Final Year Project |
author |
Tan, David Qing Wei |
author_sort |
Tan, David Qing Wei |
title |
Air quality monitoring station for home automation |
title_short |
Air quality monitoring station for home automation |
title_full |
Air quality monitoring station for home automation |
title_fullStr |
Air quality monitoring station for home automation |
title_full_unstemmed |
Air quality monitoring station for home automation |
title_sort |
air quality monitoring station for home automation |
publisher |
Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/149250 |
_version_ |
1772828332804538368 |