Development of Building Indoor Air Quality Monitoring Based on IoT Sensor Network

2024 Photonics & Electromagnetics Research Symposium (PIERS 2024): Proceedings 2024
Ruslans Sudņiks, Arturs Ziemelis, Sandis Spolītis, Agris Ņikitenko, Andis Supe

This research demonstrates the developed air quality monitoring and prediction system for public sector buildings based on historical sensor data to identify key data points to improve building efficiency without lowering the comfort level. As an experimental testbed one of Riga Technical University’s campus buildings, equipped with a network of air quality sensors (temperature, CO 2 , humidity, and atmospheric pressure) has been selected. The application utilizes an Internet of Things sensor system for automated management of indoor climate.

Keywords
Temperature sensors , Accuracy , Atmospheric modeling , Humidity , Predictive models , Transformers , Data models
DOI
10.1109/PIERS62282.2024.10618296
Hyperlink
https://ieeexplore.ieee.org/document/10618296

Sudņiks, R., Ziemelis, A., Spolītis, S., Ņikitenko, A., Supe, A. Development of Building Indoor Air Quality Monitoring Based on IoT Sensor Network. In: 2024 Photonics & Electromagnetics Research Symposium (PIERS 2024): Proceedings, China, Chengdu, 21-25 April, 2024. Piscataway: IEEE, 2024, pp.1-7. ISBN 979-8-3503-7591-6. e-ISBN 979-8-3503-7590-9. ISSN 2831-5790. e-ISSN 2831-5804. Available from: doi:10.1109/PIERS62282.2024.10618296

Publication language
English (en)