Air pollution monitoring system with internet of thing [IOT] technology / Afif Irhami Shaik Amair

Shaik Amair, Afif Irhami (2019) Air pollution monitoring system with internet of thing [IOT] technology / Afif Irhami Shaik Amair. Degree thesis, Universiti Teknologi Mara Perlis.

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Abstract

Air pollution nowadays becomes an issue that worries the community in the big cities such as Kuala Lumpur and Penang. The polluted air affects human health in Malaysia, especially the elderly and asthmatic people or those who involved in outdoor activities in sport and recreation as well as people with a working environment that exposes them to unhealthy air quality. The factors that contribute to air pollution include haze, smoke coming from vehicles and factories, open burning, as well as dust and debris. Most of the cities are facing the issue of poor air quality which is not good for human health. It is crucial for cities to have the system that can monitor air quality based on the index used to measure the air pollution. Hence, this project proposes a tool that can detect the degree of pollution in the air quality and publish the information real time on the websites or electric bulletin board. It is developed by using Arduino gas sensor, to detect gases such as smoke, benzene, carbon dioxide and alcohol. The data captured from the tool will be recorded in the database to measure the air quality and determine the degree of danger it may cause to society. It can alert the public to avoid certain area and help maintain the happiness and healthiness of the community. The tool had been tested in several locations and the finding shows a positive result and its potential to be further enhanced and commercialized.

Item Type: Thesis (Degree)
Creators:
CreatorsID Num.
Shaik Amair, Afif IrhamiUNSPECIFIED
Subjects: Q Science > QA Mathematics > Web-based user interfaces. User interfaces (Computer systems)
T Technology > TD Environmental technology. Sanitary engineering > Special types of environment. Including soil pollution, air pollution, noise pollution
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences (R)
Item ID: 26064
Uncontrolled Keywords: monitoring system ; internet of thing (IOT) ; air pollution
Last Modified: 09 Oct 2019 04:37
Depositing User: Perpustakaan Dato' Jaafar Hassan UiTM Cawangan Perlis
URI: http://ir.uitm.edu.my/id/eprint/26064

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