Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/107769
Title: IoT based domestic air quality monitoring system
Authors: Cini, Abigail (2022)
Keywords: Air quality -- Malta
Internet of things -- Malta
Arduino (Programmable controller)
Issue Date: 2022
Citation: Cini, A. (2022). IoT based domestic air quality monitoring system (Bachelor's dissertation).
Abstract: During the Covid-19 pandemic, people have become more aware about the quality of the air surrounding them, as this can either improve or significantly decrease one’s quality of life. Creating a wireless sensor network from which data can be monitored and managed simply from a website, will aid to drastically correct for any factors increasing pollution or any inconsistencies that could lead to health hazards. The design and implementation of this system is based on Arduino UNOs to keep the development costs as low as possible. The system consists of three separate nodes placed in specific room within a household, namely the kitchen, bedroom, and garage. It allows a stream of temperature, humidity, and pressure sensor data from all nodes alongside specific sensors chosen for each node location such as, for example, a carbon monoxide sensor for the garage node, a smoke sensor for the kitchen node and a gas sensor to mainly monitor carbon dioxide levels within a bedroom. The data from all nodes is transmitted using radio frequency to one receiver connected to a NodeMCU, which is essentially a microcontroller acting as the main hub. Once data is fully transmitted by the nodes and received by the hub, the microcontroller, which is connected to the internet through WiFi, uploads the data onto the webserver hosted by Firebase. The full implementation and testing of the wireless sensor network was carried out on three Arduino UNOs and one NodeMCU microcontroller.
Description: B.Sc. (Hons)(Melit.)
URI: https://www.um.edu.mt/library/oar/handle/123456789/107769
Appears in Collections:Dissertations - FacICT - 2022
Dissertations - FacICTCCE - 2022

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