Real-Time Estimation and Monitoring of COVID-19 Aerosol Transmission Risk in Office Buildings-Reference-Cited by-同舟云学术

Real-Time Estimation and Monitoring of COVID-19 Aerosol Transmission Risk in Office Buildings

Published:2023-02-23 Issue:5 Volume:23 Page:2459
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Vanhaeverbeke Jelle¹^ORCID,Deprost Emiel¹^ORCID,Bonte Pieter¹^ORCID,Strobbe Matthias¹^ORCID,Nelis Jelle¹^ORCID,Volckaert Bruno¹^ORCID,Ongenae Femke¹^ORCID,Verstockt Steven¹^ORCID,Van Hoecke Sofie¹^ORCID

Affiliation:

1. IDLab, Ghent University-imec, 9052 Ghent, Belgium

Abstract

A healthy and safe indoor environment is an important part of containing the coronavirus disease 2019 (COVID-19) pandemic. Therefore, this work presents a real-time Internet of things (IoT) software architecture to automatically calculate and visualize a COVID-19 aerosol transmission risk estimation. This risk estimation is based on indoor climate sensor data, such as carbon dioxide (CO2) and temperature, which is fed into Streaming MASSIF, a semantic stream processing platform, to perform the computations. The results are visualized on a dynamic dashboard that automatically suggests appropriate visualizations based on the semantics of the data. To evaluate the complete architecture, the indoor climate during the student examination periods of January 2020 (pre-COVID) and January 2021 (mid-COVID) was analyzed. When compared to each other, we observe that the COVID-19 measures in 2021 resulted in a safer indoor environment.

Funder

imec through the Hybrid AI for Buildings project

Fonds Wetenschappelijk Onderzoek Vlaanderen

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/5/2459/pdf

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