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BIM-Based Automatic Contact Tracing System Using Wi-Fi
40th Annual Conference of the Association for Computer Aided Design in Architecture: Distributed Proximities, ACADIA 2020 ; 1:94-101, 2020.
Article in English | Scopus | ID: covidwho-1445151
ABSTRACT
This study presents a BIM-based automatic contact tracing method using a stations-oriented indoor localization (SOIL) system. The SOIL system integrates BIM models and existing network infrastructure (i.e.. Wi-Fi), using a clustering method to generate room- level occupancy schedules. In this study, we improve the accuracy of the SOIL system by including more detailed Wi-Fi signal travel sources, such as reflection, refraction, and diffraction. The results of field measurements in an educational building show that the SOIL system was able to produce room-level occupant location information with a 95.6% level of accuracy. This outcome is 2.6% more accurate than what was found in a previous study. We also describe an implementation of the SOIL system for conducting contact tracing in large buildings. When an individual is confirmed to have COVID-19. public health professionals can use this system to quickly generate information regarding possible contacts. The greatest strength of this SOIL implementation is that it has wide applicability in large- scale buildings, without the need for additional sensing devices. Additional tests using buildings with multiple floors are required to further explore the robustness of the system. © Proceedings of the 40th Annual Conference of the Association for Computer Aided Design in Architecture Distributed Proximities, ACADIA 2020. All rights reserved.
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Collection: Databases of international organizations Database: Scopus Language: English Journal: 40th Annual Conference of the Association for Computer Aided Design in Architecture: Distributed Proximities, ACADIA 2020 Year: 2020 Document Type: Article

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Collection: Databases of international organizations Database: Scopus Language: English Journal: 40th Annual Conference of the Association for Computer Aided Design in Architecture: Distributed Proximities, ACADIA 2020 Year: 2020 Document Type: Article