Shahril, Mohammad Rais (2017) Development Of Intelligence Automated Air Ventilation System Using Arduino. Project Report. UTeM, Melaka. (Submitted)
Text
Development Of Intelligence Automated Air Ventilation System Using Arduino - Mohammad Rais Shahril - 24 pages.pdf - Submitted Version Download (354kB) |
Abstract
This report addresses the Development of Intelligence Automated Air Ventilation System using Arduino. The Indoor Air Quality is the air quality in a certain area. The Indoor Air Quality is very important because it can affect a person health. The bad Indoor Air Quality can lead to Sick Building Syndrome. The occupants will experience ill-health when they expose or in a building that has Sick Building Syndrome. The main objectives of the project are to investigate and mitigate the Sick Building Syndrome and to develop a new intelligence automated air ventilation system device. One of the ways for better Indoor Air Quality is having good air ventilation. Moreover, the development of this device for residential house is divided into hardware construction and project simulation. The Air Quality Sensor is used to detect the level of contaminant air and the automated air ventilation system is control by the servo motor and DC fan. The Liquid Crystal Display will be used to print out the air quality reading and condition. The output from the Liquid Crystal Display can be seen in the smartphone application via Bluetooth connection from the Bluetooth module. Other than that, the total cost of this project is around RM 250.00. All the result in this paper is taken from the data obtained and analyzed throughout the project.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Ventilation, Automatic control, Air conditioning, Automatic control, Ventilation |
Subjects: | T Technology > T Technology (General) T Technology > TH Building construction |
Divisions: | Library > Final Year Project > FKE |
Depositing User: | Nor Aini Md. Jali |
Date Deposited: | 22 Nov 2018 07:15 |
Last Modified: | 26 Jul 2024 07:45 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/21880 |
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