Indoor air quality monitoring system for proactive control of respiratory infectious diseases: Poster abstract

Yao Hua Ho, Pei En Li, Ling Jyh Chen, Yu Lun Liu

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Disease surveillance is essential for the control of flu and respiratory infectious diseases including the novel coronavirus disease (COVID-19). Indoor air quality monitoring has been shown effective in understanding the effectiveness of airflow and circulation indoors to reduce the risk of infectious diseases. In this project, we developed low-cost indoor air quality monitoring devices and systems to tackle the disease surveillance problem. The monitoring device consists of a set of air quality sensors. By strategic deployment and real-time data analysis, the system is able to yield insightful air circulation information indoors. The real-time data analysis is performed on air quality for the indoor ventilation using Long Short-Term Memory (LSTM) on sensed data. A series of user-friendly visualization interfaces and chatbot applications are designed to interact with users and ensure the successful delivery of infection control information. Finally, we work closely with the Taiwan Centers for Disease Control (CDC) and conduct field experiments in 15 locations including hospitals, long-term care centers, schools with total of 144 IAQ devices.

原文英語
主出版物標題SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
發行者Association for Computing Machinery, Inc
頁面693-694
頁數2
ISBN(電子)9781450375900
DOIs
出版狀態已發佈 - 2020 十一月 16
事件18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020 - Virtual, Online, 日本
持續時間: 2020 十一月 162020 十一月 19

出版系列

名字SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems

會議

會議18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020
國家/地區日本
城市Virtual, Online
期間2020/11/162020/11/19

ASJC Scopus subject areas

  • 控制與系統工程
  • 電氣與電子工程
  • 電腦網路與通信

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