Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)

<Previous Article In Volume
Next Article In Volume>

IoT Enabled Active Bio Filter for Indoor Air Quality Enhancement

Authors
Karan Boro1, *, Lammibert Sumer1, Mebadamon Tyngkan1, Rupesh Mandal1, Nupur Choudhury1, Pori Das2
1Computer Science and Engineering, School of Technology, Assam Don Bosco University, Guwahati, India
2Civil Engineering, School of Technology, Assam Don Bosco University, Guwahati, India
*Corresponding author. Email: jerrbro.333@gmail.com
Corresponding Author
Karan Boro
Available Online 4 October 2024.
DOI
10.2991/978-94-6463-529-4_32How to use a DOI?
Keywords
IoT; Active Bio Filter; Air Quality; Air Pollution
Abstract

Air Pollution has surged due to decades of swift industrialization and urbanization. With a majority of today’s population spending most of their time indoors and the architecture of buildings made secluded from the outside environment, the importance of adequate indoor environment conditions has become advent. Indoor Air Pollution (IAP) has received little attention despite causing many diseases. Technology today has found its way into the day-to-day lives of humans and the Internet of Things (IoT) is one such. In this paper, we developed a system which checks the air quality of an enclosed environment for particulate matter (PM) such as PM1.0, PM2.5 and PM10.0, chemicals that can have an impact on our health like CO2, CO, O3, NO2, TVOC, CH2O and two physical parameters, temperature and humidity. This data is collected using NodeMCU and sent to a cloud server, this real-time data is reflected on an Android app for end user. The air quality of an enclosed environment degrades when the concentration of PM is high; when a certain threshold is reached another NodeMCU connected to the Bio Filter will receive the data from the server, switch the exhaust of the filter and push the polluted air to the snake plant to reduce the concentration of the air pollutants.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
Series
Advances in Engineering Research
Publication Date
4 October 2024
ISBN
978-94-6463-529-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-529-4_32How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Karan Boro
AU  - Lammibert Sumer
AU  - Mebadamon Tyngkan
AU  - Rupesh Mandal
AU  - Nupur Choudhury
AU  - Pori Das
PY  - 2024
DA  - 2024/10/04
TI  - IoT Enabled Active Bio Filter for Indoor Air Quality Enhancement
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 351
EP  - 367
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_32
DO  - 10.2991/978-94-6463-529-4_32
ID  - Boro2024
ER  -