INDOOR AIR QUALITY MANAGEMENT SYSTEM

Authors

  • Sakshi.K.Muneshwar Department of computer science and Engineering Under the guidance of Ms. Shilpa Satone Mam Author
  • Nishant Ghuse Department of computer science and Engineering Under the guidance of Ms. Shilpa Satone Mam Author
  • Tejaswini Thakare Department of computer science and Engineering Under the guidance of Ms. Shilpa Satone Mam Author
  • Om Lohakare Department of computer science and Engineering Under the guidance of Ms. Shilpa Satone Mam Author
  • Sanika.G.Urkude Department of computer science and Engineering Under the guidance of Ms. Shilpa Satone Mam Author
  • sajjan Udar Department of computer science and Engineering Under the guidance of Ms. Shilpa Satone Mam Author
  • Ram Bais Department of computer science and Engineering Under the guidance of Ms. Shilpa Satone Mam Author
  • Yash Wakode Department of computer science and Engineering Under the guidance of Ms. Shilpa Satone Mam Author

Keywords:

carbon dioxide (CO₂), Indoor air quality (IAQ), carbon monoxide (CO), particulate matter (PM2.5/PM10), volatile organic compounds (VOCs)

Abstract

Indoor air quality (IAQ) significantly affects human health, comfort, and productivity. Poor IAQ can lead to respiratory issues, allergies, and exposure to hazardous gases such as liquefied petroleum gas (LPG), which poses explosion risks. This paper presents an integrated indoor air quality management system that combines real-time air quality monitoring with LPG gas detection. The system utilizes sensors to measure pollutants like carbon dioxide (CO₂), carbon monoxide (CO), particulate matter (PM2.5/PM10), volatile organic compounds (VOCs), humidity, temperature, and LPG concentration. An IoT-based system processes the data and triggers alerts for ventilation or emergency responses when hazardous levels are detected. This research highlights the importance of integrating LPG detection with IAQ monitoring for enhanced indoor safety. 

Downloads

Download data is not yet available.

References

 Julio Buelvas · Danny Munera ´ · Diana P. Tobon V. ´ · Johnny Aguirre · Natalia Gaviria :Data Quality in IoT-Based Air Quality Monitoring Systems: a Systematic Mapping Study. Published: 03 April 2023 DOI: 10.1109/WCNC.2018.8377051.

 Alshammari & Chughtai: IoT Gas Leakage Detector and Warning Generator Engineering, Technology & Applied Science Research Vol. 10, No. 4, (2020) 6142-6146

 Yekini Nureni, Adetokunbo Oloyede,Oyeranmi Adigun ,oluwatoyin Akinade:International Journal of Engineering and Manufacturing · (June 2022) DOI: 10.5815/ijem.20.22.05.05 .

 Virendra Barot , Viral Kapadia : Air Quality Monitoring Systems using IoT IEEE (2020), DOI: 10.1109/ComPE49325.2020.9200053

 Jagriti Saini1, Maitreyee Dutta1 and Gonçalo Marques: A comprehensive review on indoor air quality monitoring systems for enhanced public health Saini et al. Sustainable Environment Research (2020) 30:6 https://doi.org/10.1186/s42834-020-0047-y

 Prof . VINU M S , Keerthivasan S ,Santhosh Kumar R , Prof. M. Mahabooba, Yogasastha K ,Linguraj K:International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 13 Issue 4,( April 2024).

Downloads

Published

30-06-2025

Issue

Section

Original Research Articles

How to Cite

INDOOR AIR QUALITY MANAGEMENT SYSTEM. (2025). International Journal for Research Publication and Seminar, 16(1), 1101-1105. https://jrpsjournal.in/index.php/j/article/view/245

Similar Articles

1-10 of 41

You may also start an advanced similarity search for this article.