Multi-Node Networked Indoor Air Quality Monitor

Presentation Type

Oral Presentation

Start Date

5-8-2024 1:00 PM

End Date

5-8-2024 3:00 PM

Subjects

Air Quality, Environmental Monitoring

Advisor

David Burnett

Student Level

Masters

Abstract

We present an open-source wireless indoor air quality monitoring system consisting of carbon dioxide (CO2), 2.5 µm particulate matter (PM2.5), and airflow sensors. This system also contains wireless mesh networking capabilities, allowing many of these systems to be placed throughout a space to measure the indoor air quality of a wide area. The system is easily user-configurable to achieve 3 months, 6 months, or 1 year of battery life. The nodes wirelessly communicate with a host system, which stores the data locally in text-based log files and displays the data in plots organized by measurement. The system is designed to be open-source, utilizing predominantly off-the-shelf components and software. We expect this approach to allow for greater adaptability and ease of use for those wishing to design or use similar sensor systems.

Creative Commons License or Rights Statement

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Additional Files
OCR Air Quality SRS Slides.pdf (3702 kB)
Presentation Slides
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May 8th, 1:00 PM May 8th, 3:00 PM

Multi-Node Networked Indoor Air Quality Monitor

We present an open-source wireless indoor air quality monitoring system consisting of carbon dioxide (CO2), 2.5 µm particulate matter (PM2.5), and airflow sensors. This system also contains wireless mesh networking capabilities, allowing many of these systems to be placed throughout a space to measure the indoor air quality of a wide area. The system is easily user-configurable to achieve 3 months, 6 months, or 1 year of battery life. The nodes wirelessly communicate with a host system, which stores the data locally in text-based log files and displays the data in plots organized by measurement. The system is designed to be open-source, utilizing predominantly off-the-shelf components and software. We expect this approach to allow for greater adaptability and ease of use for those wishing to design or use similar sensor systems.