@inproceedings{b20293e9c5804fea93cb85dfbf828a72,
title = "Indication System in Fire Accident & IAQ of Building with Central Controlling System",
abstract = "Hong Kong's high population density in Public Rental Housing (PRH) and Home Ownership Scheme (HOS) estates and courts presents safety concerns in case of fire accidents, as residents may find it difficult to escape without guidance. To address this issue, a prototype LED arrow indication system has been developed to display a guided route to residents by analyzing real-time data collected from a network of sensors. The data is stored on an online cloud server and transmitted to a central controlling system via Wi-Fi connections, and displayed on LED indication boards and a mobile application. The sensor network can also function as an indoor air quality (IAQ) monitor under non-fire incident situations. Ultimately, the prototype system can operate with the connection of the cloud server and mobile application.",
keywords = "Algorithm, Arduino, Internet of things (IoT), Raspberry Pi, Smart Building Monitoring System",
author = "Lee, {C. C.} and Lam, {S. K.} and Kwong, {W. K.} and Lau, {W. K.} and Tung, {C. N.} and Cho, {Y. M.} and Li, {C. Y.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 ; Conference date: 16-10-2023 Through 19-10-2023",
year = "2023",
doi = "10.1109/IECON51785.2023.10312431",
language = "English",
series = "IECON Proceedings (Industrial Electronics Conference)",
booktitle = "IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society",
}