IoT Air Pollution Monitoring System

Mohd Azi, Muhammad Syazwan and M. Yusoff, Zakiah and Khirulanuar, Muhammad Sharul Haikal and Razali, Noor Fadzilah and Markom, Arni Munira (2020) IoT Air Pollution Monitoring System. In: International Jasin Multimedia & Computer Science Invention & Innovation Exhibition (3rd edition), 17-28 Feb 2020, UiTM Cawangan Melaka Kampus Jasin.


Air quality must be monitored and kept under control for a better future and a healthy life. Here we propose an air quality as well as an air pollution monitoring system enable us to monitor and control the quality of live air through IoT in specific areas. This system used sensor to constantly detect harmful gases in the air. System also maintains the air level measurement and reports it via IoT to the Blynk application. The sensor interacts with the microcontroller to
process the data and transmit through the internet. This allows authorities to monitor and take action against air pollution in various areas. Authorities can also monitor air pollution in the vicinity of school, and hospital. Where the system detects the air quality problem, the authorities are alerted so they can take control measure. The main component of IoT air pollution monitoring system is Arduino Mega 2560 as a microcontroller. The input used is
MQ135 sensor and MQ-7 to detect contaminated air. This sensor will place at a higher place to easily detect the pollution air. There are 3 output are LEDs, Wi-Fi module, and LCD display. This probably uses a LED and buzzer as an indicator on this system to show the system is running. The LCD is used to show the air concentration either the safe air or not. If the air is polluted, the system will bring alerts to nearby areas. This Wi-Fi module helps a nearby people
to know information about air concentration. This surely can make they feel safe because they can know about current air concentration.


Item Type: Conference or Workshop Item (Paper)
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Mohd Azi, Muhammad Syazwan
M. Yusoff, Zakiah
Khirulanuar, Muhammad Sharul Haikal
Razali, Noor Fadzilah
Markom, Arni Munira
Divisions: Universiti Teknologi MARA, Johor > Pasir Gudang Campus > Faculty of Electrical Engineering
Event Title: International Jasin Multimedia & Computer Science Invention & Innovation Exhibition (3rd edition)
Event Dates: 17-28 Feb 2020
Page Range: pp. 97-100
Keywords: Air pollution, Internet of Thing (IoT), Arduino Mega, air quality
Date: February 2020
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