An Interoperable Architecture for the Internet of COVID-19 Things (IoCT) using Open Geospatial Standards - Case Study: Workplace Reopening
| Main Author: | Sara Saeedi |
|---|---|
| Format: | Article Journal |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4293509 |
Daftar Isi:
- In this paper, we proposed an interoperable Internet of COVID-19 Things (IoCT) architecture that is able to exchange, aggregate and reuse disparate IoT sensor data sources so that informed decisions can be made by understanding the real-time risks of opening workplaces during COVID-19 pandemic. To our best knowledge, this paper is the first real-world integrated implementation of the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) and IndoorGML standards to calculate online risk of COVID-19 in workplace reopening case study. The implemented IoCT architecture in this paper includes proximity-based contact tracing systems; people density sensors; COVID-19 risky behaviour monitoring system; and the contextual indoor geospatial data. The outcome of the solution is useful to safely protect building’s staffs and visitors by integrating information-based solutions for real-time situational awareness and early warnings. IoCT improves both the quality and speed of pandemic emergency responses by enabling IoT system interoperability and unlocking necessary information for real-time decision making. The open-source software and standard nature of this research helps its reusability across the world for COVID-19 pandemic.