Advancing Fire Safety in Hong Kong Buildings: An IoT-Based Fire Accident Indication System

C. C. Lee, S. K. Lam, W. K. Kwong, W. K. Lau, C. N. Tung, Y. M. Cho, C. Y. Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This study focuses on the development of an innovative fire accident indication system for buildings in Hong Kong, leveraging the Internet of Things (IoT) technology. The proposed system integrates IoT devices and sensors to enable real-time monitoring, early fire detection, and prompt notification of fire incidents. By utilizing the power of interconnected devices and data analytics, the system enhances fire safety measures, improves emergency response time, and minimizes potential damage. The research considers the unique characteristics and challenges of Hong Kong's urban environment, including high population density and complex building structures. The outcomes of this study contribute to advancing fire safety standards and emergency management practices in Hong Kong, with potential applications in other regions facing similar circumstances.

Original languageEnglish
Title of host publicationISPCE-AS 2023 - IEEE International Symposium on Product Compliance Engineering - Asia 2023
ISBN (Electronic)9798350361209
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Symposium on Product Compliance Engineering - Asia 2023, ISPCE-AS 2023 - Shanghai, China
Duration: 3 Nov 20235 Nov 2023

Publication series

NameISPCE-AS 2023 - IEEE International Symposium on Product Compliance Engineering - Asia 2023

Conference

Conference2023 IEEE International Symposium on Product Compliance Engineering - Asia 2023, ISPCE-AS 2023
Country/TerritoryChina
CityShanghai
Period3/11/235/11/23

Keywords

  • Algorithm
  • Arduino
  • Internet of things (IoT)
  • Raspberry Pi
  • Smart Building Monitoring System

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