Wong, Min Yue (2022) Design and analysis of IoT based integrated air quality monitoring system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
Air pollution is one of the main problems faced by all countries worldwide. The increasing pollution level is due to industries, urbanization, and a rising population that affects human health. Whenever air pollution occurs, there is a likelihood of losing a life, the risk of respiratory infections increases, and extensive damage to nature, even the agricultural crop, and commercial forest yields. But indoor air pollution is worse than outdoor air pollution because the areas enable more potential pollutants to build up more than open spaces. For this reason, the project entitled ‘Design and Analysis of IoT based Integrated Air Quality Monitoring System’ is proposed. It aims to design and develop an air quality monitoring system with IoT technique and analyze its effectiveness in monitoring multiple air quality parameters such as dust and gas concentrations. In order to do this, the system needs information such as humidity, temperature, gas concentration, and dust concentration to determine the system’s effectiveness. All the measured data values are represented in graphical form and analyzed. The significant parts of this project are sensor and data transmission. The data collected will be passed to the Thingspeak server via the Arduino NodeMCU ESP32 microcontroller. The data can be shared and monitored in real-time. Lastly, the system will notify the user if certain parameters exceed the optimum value through the Pushbullet application. In short, the designed system can monitor the air quality of the indoor environment.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Monitoring, Parameters, Gas, Effectiveness, Dust, Pollutants, Quality, Concentration, Pollution |
Divisions: | Library > Final Year Project > FKEKK |
Depositing User: | Mr Eiisaa Ahyead |
Date Deposited: | 24 Oct 2023 02:25 |
Last Modified: | 12 Dec 2024 05:58 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/27914 |
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