PT2.300 - Multi-sensor Platform for Indoor Air Quality Monitoring
- Event
- EUROSENSORS XXXVI
2024-09-01 - 2024-09-04
Debrecen (Hungary) - Band
- Poster
- Chapter
- PT2 - Smart Systems and Artificial Intelligence in Sensing
- Author(s)
- J. P. Viricelle, Y. Shen, R. Alrammouz, M. Fischer, M. Minot, R. Lakhmi, M. Rieu - Université de Lyon, Saint-Etienne (France)
- Pages
- 267 - 268
- DOI
- 10.5162/EUROSENSORSXXXVI/PT2.300
- ISBN
- 978-3-910600-03-4
- Price
- free
Abstract
Indoor air pollution has been a rising threat for public health. This study presents an indoor air quality monitoring platform integrating multiple sensors. It adopts calibration and compensation algorithms in order to improve gas measurement accuracy. A neural network-based gas recognition algorithm is also proposed. This approach promises more effective real-time IAQ monitoring for public health protection.