Design and analysis air pollution monitoring system based on Internet of Things (IoT)

Muslim Buhari, Khadijah (2020) Design and analysis air pollution monitoring system based on Internet of Things (IoT). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In 20th century, technology, inventions and science are growing fast and will continuously evolving and become environmental concerns such as air pollution. Therefore, air monitoring system essential but measurement of personal exposure to Particulate Matter is delayed by poor spatial resolution of monitoring networks. Low-cost Particulate Matter sensors may improve monitoring resolution in a costeffective manner but there are doubts regarding data reliability. Therefore, this project will analyze the performance of the system based on accuracy of low-cost particulate matter sensor. The accuracy will determine by the error from the reading of data measured and actual. This project is developing air pollution monitoring system based on Internets of Things and designed by using microcontroller, a dust sensor, temperature and humidity sensor, WiFi module, Light Emitting Diode and a piezo buzzer. This system also involves the storing of data in Blynk cloud to continuously receives and transmits data via internet access using Blynk application. The data retrieves will export to compare the results. The accuracy for 4 days is from 85% to 92% which is quite accurate. This project can be continuing to get results accuracy more accurate and analyzed the system for at least 3 months to studies the performance of sensor over the time to determine reliability of sensor.

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