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Indoor Based Air Quality Monitoring System

KUNCHALA SRIHARI SRIHARI

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Paper Contents

Abstract

Indoor air quality (IAQ) is crucial for health, especially since people spend about 90% of their time indoors. This paper introduces a simple and affordable indoor air quality monitoring system (IAQMS) that uses LoRa technology and the Internet of Things (IoT) to track important air quality factors. The system measures levels of carbon dioxide (CO2), particulate matter (PM2.5 and PM10), total volatile organic compounds (TVOC), formaldehyde (HCHO), as well as ambient temperature and humidity. I provide a clear overview of the hardware and software design, highlighting its ability to monitor air quality remotely and store data on the OneNET cloud platform for later analysis. Our experiments show that the system works reliably in different conditions, and also examine how the design of the sensor housing affects measurement accuracy. This IAQMS can be easily set up in various indoor spaces, allowing for real-time monitoring and alerts to help improve the health and comfort of occupants. These essential sensors for detecting temperature, humidity, carbon monoxide, PM2.5, PM10, TVOC, HCHO, and other parameters are integral to our IAQMS architecture. These sensors collect data, which is subsequently transmitted to the OneNet cloud platform for secure storage and straightforward analysis. we were able to improve sensor accuracy and guarantee consistent readings under a range of circumstances by taking into account multiple housing designs the system can be used in a variety of settings including homes workplaces and educational institutions as evidenced by experimental findings showing its dependability in a range of interior conditions by being educated and taking proactive steps to enhance air quality users can create healthier indoor environments with the help of an IAQMS which offers real-time data and alarms.

Copyright

Copyright © 2024 KUNCHALA SRIHARI. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS41100087033
ISSN: 2321-9653
Publisher: ijprems
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