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

doi:10.1109/CSCI54926.2021.00081

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

Department of Biology

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-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 language	English
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	https://doi.org/10.1109/CSCI54926.2021.00081
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

Conference

Conference	2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Country/Territory	United States
City	Las Vegas
Period	15/12/21 → 17/12/21
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9798893/proceeding

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

User-Defined Keywords

environmental monitoring
IoT
pathogen inactivation

Access to Document

10.1109/CSCI54926.2021.00081

Cite this

Lam, R. C. Y., Tang, C. K., Cheung, K. L. A., & Lam, L. C. H. (2021). UV-C VentGuard: An IoT-based Monitoring and Disinfection System for Pathogen Inactivation in Ventilation Pipes of High-rise Buildings. In Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 (pp. 1470-1475). (Proceedings - International Conference on Computational Science and Computational Intelligence, CSCI). IEEE. https://doi.org/10.1109/CSCI54926.2021.00081

Lam, Ronald Chun Yu ; Tang, Chiu Kay ; Cheung, Ka Loon Allen et al. / UV-C VentGuard: An IoT-based Monitoring and Disinfection System for Pathogen Inactivation in Ventilation Pipes of High-rise Buildings. Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. IEEE, 2021. pp. 1470-1475 (Proceedings - International Conference on Computational Science and Computational Intelligence, CSCI).

@inproceedings{d230c4a8e4b34792b574eeae08786acc,

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

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.",

keywords = "environmental monitoring, IoT, pathogen inactivation",

author = "Lam, \{Ronald Chun Yu\} and Tang, \{Chiu Kay\} and Cheung, \{Ka Loon Allen\} and Lam, \{Louis Chi Hung\}",

note = "This study was partially supported by the Urban Renewal Authority of Hong Kong. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the Urban Renewal Authority. This publication was made possible also by the provision of laboratory facilities and manpower from Chu Hai College of Higher Education. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 ; Conference date: 15-12-2021 Through 17-12-2021",

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month = dec,

doi = "10.1109/CSCI54926.2021.00081",

language = "English",

isbn = "9781665458429",

series = "Proceedings - International Conference on Computational Science and Computational Intelligence, CSCI",

publisher = "IEEE",

pages = "1470--1475",

booktitle = "Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021",

address = "United States",

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Lam, RCY, Tang, CK, Cheung, KLA & Lam, LCH 2021, UV-C VentGuard: An IoT-based Monitoring and Disinfection System for Pathogen Inactivation in Ventilation Pipes of High-rise Buildings. in Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Proceedings - International Conference on Computational Science and Computational Intelligence, CSCI, IEEE, pp. 1470-1475, 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, Las Vegas, United States, 15/12/21. https://doi.org/10.1109/CSCI54926.2021.00081

UV-C VentGuard: An IoT-based Monitoring and Disinfection System for Pathogen Inactivation in Ventilation Pipes of High-rise Buildings. / Lam, Ronald Chun Yu; Tang, Chiu Kay; Cheung, Ka Loon Allen et al.
Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. IEEE, 2021. p. 1470-1475 (Proceedings - International Conference on Computational Science and Computational Intelligence, CSCI).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - UV-C VentGuard: An IoT-based Monitoring and Disinfection System for Pathogen Inactivation in Ventilation Pipes of High-rise Buildings

AU - Lam, Ronald Chun Yu

AU - Tang, Chiu Kay

AU - Cheung, Ka Loon Allen

AU - Lam, Louis Chi Hung

N1 - This study was partially supported by the Urban Renewal Authority of Hong Kong. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the Urban Renewal Authority. This publication was made possible also by the provision of laboratory facilities and manpower from Chu Hai College of Higher Education. Publisher Copyright: © 2021 IEEE.

PY - 2021/12

Y1 - 2021/12

N2 - 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.

AB - 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.

KW - environmental monitoring

KW - IoT

KW - pathogen inactivation

UR - https://www.scopus.com/pages/publications/85133896400

U2 - 10.1109/CSCI54926.2021.00081

DO - 10.1109/CSCI54926.2021.00081

M3 - Conference proceeding

AN - SCOPUS:85133896400

SN - 9781665458429

T3 - Proceedings - International Conference on Computational Science and Computational Intelligence, CSCI

SP - 1470

EP - 1475

BT - Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021

PB - IEEE

T2 - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021

Y2 - 15 December 2021 through 17 December 2021

ER -

Lam RCY, Tang CK, Cheung KLA, Lam LCH. UV-C VentGuard: An IoT-based Monitoring and Disinfection System for Pathogen Inactivation in Ventilation Pipes of High-rise Buildings. In Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. IEEE. 2021. p. 1470-1475. (Proceedings - International Conference on Computational Science and Computational Intelligence, CSCI). doi: 10.1109/CSCI54926.2021.00081

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

Abstract

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Conference

UN SDGs

User-Defined Keywords

Access to Document

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