Abstract
SARS-CoV-2 traveling through ventilating pipes in high-rise buildings present an urgent concern to address. This paper describes an IoT monitoring system designed to disinfect the air traveling through the pipes. Site tests demonstrate that the system provides a cost-effective solution for pathogen inactivation in ventilating pipes of high-rise buildings, and that it can play a positive role in mitigating the spread of the COVID-19 pandemic in built environments.
Original language | English |
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Title of host publication | Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 |
Publisher | IEEE |
Pages | 1470-1475 |
Number of pages | 6 |
ISBN (Electronic) | 9781665458412 |
ISBN (Print) | 9781665458429 |
DOIs | |
Publication status | Published - Dec 2021 |
Event | 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 - Las Vegas, United States Duration: 15 Dec 2021 → 17 Dec 2021 https://ieeexplore.ieee.org/xpl/conhome/9798893/proceeding |
Publication series
Name | Proceedings - International Conference on Computational Science and Computational Intelligence, CSCI |
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Conference
Conference | 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 |
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Country/Territory | United States |
City | Las Vegas |
Period | 15/12/21 → 17/12/21 |
Internet address |
Scopus Subject Areas
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Signal Processing
- Safety, Risk, Reliability and Quality
User-Defined Keywords
- environmental monitoring
- IoT
- pathogen inactivation