UV-C VentGuard: An IoT-based Monitoring and Disinfection System for Pathogen Inactivation in Ventilation Pipes of High-rise Buildings

Ronald Chun Yu Lam, Chiu Kay Tang, Ka Loon Allen Cheung, Louis Chi Hung Lam

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
PublisherIEEE
Pages1470-1475
Number of pages6
ISBN (Electronic)9781665458412
ISBN (Print)9781665458429
DOIs
Publication statusPublished - Dec 2021
Event2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 - Las Vegas, United States
Duration: 15 Dec 202117 Dec 2021
https://ieeexplore.ieee.org/xpl/conhome/9798893/proceeding

Publication series

NameProceedings - International Conference on Computational Science and Computational Intelligence, CSCI

Conference

Conference2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Country/TerritoryUnited States
CityLas Vegas
Period15/12/2117/12/21
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

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