IoT-Based Air Pollution Meter
Date
2023-02-24
Authors
Journal Title
Journal ISSN
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Publisher
Saudi Digital Library
Abstract
The quality of our lives as well as our day-to-day activities are impacted by
pollution in the air. Both the planet's environment and the quality of life there are
at risk as a result of this danger. Because of the rise in the number of industrial
operations that have taken place over the course of the last several years, there
is an obvious and immediate need to check the quality of the air. It is necessary
for people to be aware of the degree to which their actions impact the quality of
the air. It is predicted that monitoring air quality will become increasingly essential
at residence, in the office, and at recreational events, in particular with relation to
improving wellbeing and protecting social interaction. The project presents a
practical approach to the implementation of smart air pollution monitoring by
making use of an Internet of Things (IoT) solution. This solution is built upon low
cost air quality sensors and the Thingspeak platform. This project proposes the
implementation of a monitoring system for air pollution. The ESP32-based
microcontroller was utilised throughout the development of the system. The
system for monitoring air pollution was developed to perform monitoring and
analysis of the air quality in real time. Additionally, it was intended to log data to
a remote IoT platform called Thingspeak, which would keep the data updated
through the internet. On the Internet of Things (IoT) platform, graphical
representation was used to conduct analysis after air quality measurements were
made based on the metrics of parts per million (PPM). The device collects data on
the environment's temperature, relative humidity, air pressure, and smoke levels.
The developed system yielded reliable results when measuring the quality of the
surrounding air. The outcome was shown on the display interface of the user
hardware and was available for inspection through the Thingspeak platform.
Description
Keywords
meter, IOT, pollution, climate, PPM