Wireless sensor network for internet of things facility management (IoT-FM) environment sensing

Environmental Quality (EQ) has always played an important role in the health of humans, with detrimental effects arising from elevated levels of pollutants. Regular monitoring of environmental parameters will help to mitigate and reduce such harmful effects on the health and wellbeing of humans. Wit...

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Main Author: Tan, Yan Feng
Other Authors: Li King Ho Holden
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/158815
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1588152022-06-07T03:49:45Z Wireless sensor network for internet of things facility management (IoT-FM) environment sensing Tan, Yan Feng Li King Ho Holden School of Mechanical and Aerospace Engineering ECTech Integration Solutions Pte Ltd Tse Man Siu HoldenLi@ntu.edu.sg Engineering::Mechanical engineering Environmental Quality (EQ) has always played an important role in the health of humans, with detrimental effects arising from elevated levels of pollutants. Regular monitoring of environmental parameters will help to mitigate and reduce such harmful effects on the health and wellbeing of humans. With recent advancements in wireless communications and Internet of Things (IoT) approach, it is possible to create and develop an IoT system for the purpose of monitoring EQ. IoT microcontrollers can be integrated with multiple environmental sensors that can be deployed at multiple indoor locations to form a low-cost, power efficient sensor module. During the course of this project, research was done to select a proper IoT microcontroller as well as suitable environmental sensors to develop a sensor node. Some of the evaluation criteria included cost, support for different wireless communications, size and power consumption. These components were integrated closely via C++. Subsequently, the sensor node was tested and the reading out of data from the sensor node was evaluated. The output of data from the sensor node should be convenient and easily accessible in order to fulfil the IoT approach. Next, the architecture of the entire Wireless Sensor Network was developed. This required the capability of the Argon microcontroller to communicate between multiple Argon devices, thus allowing the formation of a Master-Slave system for mass deployment in a building. All in all, the Argon microcontroller is the selected microcontroller of choice for future IoT applications with its wide compatibility of wireless communication protocols as well as low power consumptions. This project details the various steps in developing an IoT sensor module for environment sensing. Bachelor of Engineering (Mechanical Engineering) 2022-06-07T03:49:45Z 2022-06-07T03:49:45Z 2022 Final Year Project (FYP) Tan, Y. F. (2022). Wireless sensor network for internet of things facility management (IoT-FM) environment sensing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158815 https://hdl.handle.net/10356/158815 en C116 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
Tan, Yan Feng
Wireless sensor network for internet of things facility management (IoT-FM) environment sensing
description Environmental Quality (EQ) has always played an important role in the health of humans, with detrimental effects arising from elevated levels of pollutants. Regular monitoring of environmental parameters will help to mitigate and reduce such harmful effects on the health and wellbeing of humans. With recent advancements in wireless communications and Internet of Things (IoT) approach, it is possible to create and develop an IoT system for the purpose of monitoring EQ. IoT microcontrollers can be integrated with multiple environmental sensors that can be deployed at multiple indoor locations to form a low-cost, power efficient sensor module. During the course of this project, research was done to select a proper IoT microcontroller as well as suitable environmental sensors to develop a sensor node. Some of the evaluation criteria included cost, support for different wireless communications, size and power consumption. These components were integrated closely via C++. Subsequently, the sensor node was tested and the reading out of data from the sensor node was evaluated. The output of data from the sensor node should be convenient and easily accessible in order to fulfil the IoT approach. Next, the architecture of the entire Wireless Sensor Network was developed. This required the capability of the Argon microcontroller to communicate between multiple Argon devices, thus allowing the formation of a Master-Slave system for mass deployment in a building. All in all, the Argon microcontroller is the selected microcontroller of choice for future IoT applications with its wide compatibility of wireless communication protocols as well as low power consumptions. This project details the various steps in developing an IoT sensor module for environment sensing.
author2 Li King Ho Holden
author_facet Li King Ho Holden
Tan, Yan Feng
format Final Year Project
author Tan, Yan Feng
author_sort Tan, Yan Feng
title Wireless sensor network for internet of things facility management (IoT-FM) environment sensing
title_short Wireless sensor network for internet of things facility management (IoT-FM) environment sensing
title_full Wireless sensor network for internet of things facility management (IoT-FM) environment sensing
title_fullStr Wireless sensor network for internet of things facility management (IoT-FM) environment sensing
title_full_unstemmed Wireless sensor network for internet of things facility management (IoT-FM) environment sensing
title_sort wireless sensor network for internet of things facility management (iot-fm) environment sensing
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/158815
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