INDOOR AIR QUALITY MONITORING AND OPTIMIZATION SYSTEM

Authors

  • M. Sathwika, J. Raghavi, D. Sowmya UG scholar students Department of EEE, Bhoj Reddy Engineering College for Women, Hyderabad, India Author

Abstract

In today’s fast-paced urban lifestyle, people spend a significant portion of their time indoors,
making indoor air quality a crucial determinant of health and well-being. Poor indoor air quality can lead to
various health issues, including allergies, respiratory problems, and even long-term health risks.
The existing methods for monitoring indoor air quality often rely on standalone sensors that provide
limited data and lack intelligent insights. These systems offer basic readings of air parameters but do not
consider the dynamic nature of indoor environments. As a result, users often receive data without context and
struggle to make informed decisions regarding air quality improvement. Our proposed system goes beyond
traditional air quality monitoring by integrating by integrating it with a power supply. It involves the
deployment of sensors for continuous monitoring of indoor air quality, including parameters such as CO2 levels,
humidity, temperature, and air pollutants.This project deals with the indoor air quality monitoring and
optimization system. In stage-I the air quality is monitored and displayed on LCD and in stage-II the air quality
in the room is controlled.
In stage-I Air Pollution Monitoring is done in which we will monitor the Air Quality
parameters on LCD display. The project makes a use of Arduino microcontroller and to measure the air quality
using sensors such as dht11(temperature and humidity) sensor, pm2.5
dust particle sensor, MQ2 sensor.
In stage-II Air Pollution Controlling is done in which air quality is controlled as Arduino continuously
reads the data from sensors and will be displayed on LCD module. Based on the sensor data Arduino will
control the specific device through driver circuits to maintain the air quality.

Downloads

Published

2024-04-30

Issue

Section

Articles

How to Cite

INDOOR AIR QUALITY MONITORING AND OPTIMIZATION SYSTEM. (2024). International Journal of Engineering and Science Research, 14(2), 928-938. https://www.ijesr.org/index.php/ijesr/article/view/765