A Case Study of the Characteristics of Fire-Detection Signals of IoT-based Fire-Detection System 


Vol. 37,  No. 3, pp. 16-23, Jun.  2022
10.14346/JKOSOS.2022.37.3.3.16


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  Abstract

This study aims to provide a fundamental material for identifying fire and no-fire signals using the detection signal characteristics of IoT-based fire-detection systems. Unlike analog automatic fire-detection equipment, IoT-based fire-detection systems employ wireless digital communication and are connected to a server. If a detection signal exceeds a threshold value, the measured values are saved to a server within seconds. This study was conducted with the detection data saved from seven fire accidents that took place in traditional markets from 2020 to 2021, in addition to 233 fire alarm data that have been saved in the K institute from 2016 to 2020. The saved values demonstrated variable and continuous VC-Signals. Additionally, we discovered that the detection signals of two fire accidents in the K institution had a VC-Signal. In the 233 fire alarms that took place over the span of 5 years, 31% of smoke alarms and 30% of temperature alarms demonstrated a VC-Signal. Therefore, if we selectively recognize VC-Signals as fire signals, we can reduce about 70% of false alarms.

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  Cite this article

[IEEE Style]

박승환, 김두현, 김성철, "A Case Study of the Characteristics of Fire-Detection Signals of IoT-based Fire-Detection System," Journal of the Korean Society of Safety, vol. 37, no. 3, pp. 16-23, 2022. DOI: 10.14346/JKOSOS.2022.37.3.3.16.

[ACM Style]

박승환, 김두현, and 김성철. 2022. A Case Study of the Characteristics of Fire-Detection Signals of IoT-based Fire-Detection System. Journal of the Korean Society of Safety, 37, 3, (2022), 16-23. DOI: 10.14346/JKOSOS.2022.37.3.3.16.

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