Analysis of Unwanted Fire Alarm Signal Pattern of Smoke / Temperature Detector in the IoT-Based Fire Detection System 


Vol. 37,  No. 2, pp. 69-75, Apr.  2022
10.14346/JKOSOS.2022.37.2.69


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  Abstract

Fire-alarm systems are safety equipment that facilitate rapid evacuation and early suppression in case of fire. It is highly desirable that fire-alarm systems have low false-alarm rates and are thus reliable. Until now, researchers have attempted to improve detector performance by applying new technologies such as IoT. To this end, IoT-based fire-detection systems have been developed. However, due to scarcity of large-scale operational data, researchers have barely studied malfunctioning in fire-alarm systems or attempted to reduce false-alarm rates in these systems. In this study, we analyzed false-alarm rates of smoke/temperature detectors and unwanted fire-alarm signal patterns at K institution, where Korea’s largest IoT-based fire-detection system operates. After analyzing the fire alarm occurrences at the institution for five years, we inferred that the IoT-based fire-detection system showed lower false-alarm rates compared to the automatic fire-detection equipment. We analyzed the detection pattern by dividing it into two parts: normal operation and unwanted fire alarms. When a specific signal pattern was filtered out, the false-alarm rate was reduced to 66.9% in the smoke detector and to 46.9% in the temperature detector.

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  Cite this article

[IEEE Style]

박승환, 김두현, 김성철, "Analysis of Unwanted Fire Alarm Signal Pattern of Smoke / Temperature Detector in the IoT-Based Fire Detection System," Journal of the Korean Society of Safety, vol. 37, no. 2, pp. 69-75, 2022. DOI: 10.14346/JKOSOS.2022.37.2.69.

[ACM Style]

박승환, 김두현, and 김성철. 2022. Analysis of Unwanted Fire Alarm Signal Pattern of Smoke / Temperature Detector in the IoT-Based Fire Detection System. Journal of the Korean Society of Safety, 37, 2, (2022), 69-75. DOI: 10.14346/JKOSOS.2022.37.2.69.

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