Abstract
With the advancement of technologies and construction around the globe, the pollution produced while chasing the vision of high-tech cities and community leaves behind great impact on the cleanliness of the air that we breath in in our daily life. Toxic gases like Carbon monoxide (CO) is one of the main enemy to our healthy lung. Carbon monoxide (CO) is a colorless, odorless, and tasteless gas that consists of one carbon atom and one oxygen atom. It is produced through incomplete combustion of carbon-containing fuels, such as wood, gasoline, natural gas, and oil. Carbon monoxide is a highly toxic gas that can pose significant health risks when inhaled, as it binds to hemoglobin in red blood cells more readily than oxygen, leading to a reduction in the oxygen-carrying capacity of the blood. Exposure to elevated levels of carbon monoxide can result in symptoms such as headaches, dizziness, nausea, confusion, and, in severe cases, can be fatal. Carbon monoxide detectors are commonly used to monitor indoor air quality and provide early warnings of potential leaks. Other than that, harmful particles like dust or microorganism around the air may cause allergic reaction if one does not practically wear mask. Lately, people tend to stay indoors due to unpredicted weather or work from home policy. Thus, this can be quite worrisome. People who have tight schedule or being preoccupied with their job might have no time or energy to tend their room or household which can be quite an issue. Malaysia is one of the few countries that has variable weather. Rain and high winds can cause interior damage in an unattended room or residence with open windows. As a result, this research contributes to reducing the burden and providing a safe place by developing an indoor air quality monitoring and environment-dependent control system based on an IoT system. This system may monitor air quality and the environment, such as carbon monoxide levels, humidity levels, and temperature within a closed room or area, and the system will automatically open and close the windows based on the threshold values specified.
Metadata
Item Type: | Student Project |
---|---|
Creators: | Creators Email / ID Num. Zulkifli, Muhammad Haikal UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Advisor Mohd Nordin, Atiqah Hamizah 314466 |
Divisions: | Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Engineering |
Programme: | Diploma of Electrical Engineering |
Date: | 2024 |
URI: | https://ir.uitm.edu.my/id/eprint/101351 |
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