Internet of things sensor network for indoor environmental quality monitoring (IEQMS)

Indoor Environmental Quality (IEQ) plays a vital role in our daily lives as it can affect the comfort and health of occupants within a building. Poor IEQ can lead to detrimental effects such as headaches and respiratory problem and reduction of productivity in the building. By monitoring of IE...

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Main Author: Yeo, Dylan Zhi Wei
Other Authors: Li King Ho Holden
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167410
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1674102023-06-03T16:51:00Z Internet of things sensor network for indoor environmental quality monitoring (IEQMS) Yeo, Dylan Zhi Wei Li King Ho Holden School of Mechanical and Aerospace Engineering HoldenLi@ntu.edu.sg Engineering::Mechanical engineering Indoor Environmental Quality (IEQ) plays a vital role in our daily lives as it can affect the comfort and health of occupants within a building. Poor IEQ can lead to detrimental effects such as headaches and respiratory problem and reduction of productivity in the building. By monitoring of IEQ frequently, the presence of deteriorating IEQ have been detected and action can be taken to improve the IEQ in the building. With the rapid advancement of technology towards Internet of Things (IoT), it is now possible to develop a IoT sensor network for monitoring IEQ. The IoT sensor network will comprise of an IoT microcontroller and several compact sensors that is dedicated to monitor specific IEQ parameters in buildings with the aim of low cost and low power consumption. During this project, research was done to select a suitable IoT microcontroller and compact sensors to form an IoT sensor node. A supervisor node was also introduced to act as the bridge between the IoT sensor node and the internet. Various wireless communication protocols such as Wi-Fi and BLE were utilised as well for the communication between the nodes and the internet. The supervisor node would receive the data from the sensor node and upload the data to the internet and these data can be accessed through a cloud platform. The microcontroller used is the Arduino MKR WiFi 1010 microcontroller and was coded using the C++ programming language. This project details the steps in developing a IoT Sensor Network for Indoor Environmental monitoring and demonstrates the IoT sensor network architecture to showcase the transmission of data from the sensors to the Arduino IoT Cloud platform using the BLE and Wi-Fi wireless communication protocol, offering a comprehensive solution for IEQ monitoring. Bachelor of Engineering (Mechanical Engineering) 2023-05-31T01:48:51Z 2023-05-31T01:48:51Z 2023 Final Year Project (FYP) Yeo, D. Z. W. (2023). Internet of things sensor network for indoor environmental quality monitoring (IEQMS). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167410 https://hdl.handle.net/10356/167410 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::Mechanical engineering
spellingShingle Engineering::Mechanical engineering
Yeo, Dylan Zhi Wei
Internet of things sensor network for indoor environmental quality monitoring (IEQMS)
description Indoor Environmental Quality (IEQ) plays a vital role in our daily lives as it can affect the comfort and health of occupants within a building. Poor IEQ can lead to detrimental effects such as headaches and respiratory problem and reduction of productivity in the building. By monitoring of IEQ frequently, the presence of deteriorating IEQ have been detected and action can be taken to improve the IEQ in the building. With the rapid advancement of technology towards Internet of Things (IoT), it is now possible to develop a IoT sensor network for monitoring IEQ. The IoT sensor network will comprise of an IoT microcontroller and several compact sensors that is dedicated to monitor specific IEQ parameters in buildings with the aim of low cost and low power consumption. During this project, research was done to select a suitable IoT microcontroller and compact sensors to form an IoT sensor node. A supervisor node was also introduced to act as the bridge between the IoT sensor node and the internet. Various wireless communication protocols such as Wi-Fi and BLE were utilised as well for the communication between the nodes and the internet. The supervisor node would receive the data from the sensor node and upload the data to the internet and these data can be accessed through a cloud platform. The microcontroller used is the Arduino MKR WiFi 1010 microcontroller and was coded using the C++ programming language. This project details the steps in developing a IoT Sensor Network for Indoor Environmental monitoring and demonstrates the IoT sensor network architecture to showcase the transmission of data from the sensors to the Arduino IoT Cloud platform using the BLE and Wi-Fi wireless communication protocol, offering a comprehensive solution for IEQ monitoring.
author2 Li King Ho Holden
author_facet Li King Ho Holden
Yeo, Dylan Zhi Wei
format Final Year Project
author Yeo, Dylan Zhi Wei
author_sort Yeo, Dylan Zhi Wei
title Internet of things sensor network for indoor environmental quality monitoring (IEQMS)
title_short Internet of things sensor network for indoor environmental quality monitoring (IEQMS)
title_full Internet of things sensor network for indoor environmental quality monitoring (IEQMS)
title_fullStr Internet of things sensor network for indoor environmental quality monitoring (IEQMS)
title_full_unstemmed Internet of things sensor network for indoor environmental quality monitoring (IEQMS)
title_sort internet of things sensor network for indoor environmental quality monitoring (ieqms)
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167410
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