Air pollution is a serious problem across the world owing to its substantial influence on the global environment and human health. Many approaches have been conducted by researchers to measure air quality in their regions. One of the approaches is the application of an Internet of Things (IoT), a system of “smart devices” that can monitor and connect with their surroundings and interact with users and other systems. In this paper, an IoT-enabled air pollution monitoring system was proposed. This system was prepared by using gas sensors (DHT 22 and MQ 135), a microcontroller (Arduino Uno), a Wi-Fi module, a cloud database (Blynk), and a smartphone. The air pollution level, temperature, and humidity measurements are collected by the gas sensors and then the data is transmitted to the microcontroller. The microcontroller transmits the data to the cloud through the Wi-Fi module. The Blynk application allows the users to obtain cloud-based air quality data. This application also notifies the users of the status of the air quality in their area via a pop-up message. The users will be notified when the air quality status is unhealthy or very unhealthy and will be able to respond promptly. This proposed system is simple to set up and can operate at any location as needed. Furthermore, the overall cost of this proposed system is minimal, and it can be used for small towns, large parts of countries, even for the large indoor environment like buildings and companies.
Monitoring Air Quality Using an IoT-Enabled Air Pollution System on Smartphones
Adv Struct Mater
10.01.2022
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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