[논문]IoT 기반 화재탐지시스템의 연기 및 온도감지기 비화재보 신호 패턴 분석

박승환; 김두현; 김성철

doi:10.14346/jkosos.2022.37.2.69

IoT 기반 화재탐지시스템의 연기 및 온도감지기 비화재보 신호 패턴 분석
Analysis of Unwanted Fire Alarm Signal Pattern of Smoke / Temperature Detector in the IoT-Based Fire Detection System 원문보기

한국안전학회지 = Journal of the Korean Society of Safety, v.37 no.2, 2022년, pp.69 - 75

박승환 (한국원자력연구원 연구실안전팀) , 김두현 (충북대학교 안전공학과) , 김성철 (충북대학교 안전공학과)

Abstract ▼ AI-Helper

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.

주제어

표/그림 (15)

그림 Fig. 1. Configuration diagram of IoT-based fire-detection system.
그림 Fig. 2. Number of smoke unwanted fire alarms per month.
그림 Fig. 3. Number of temperature unwanted fire alarms per month.
표 Table 1. Number of fire alarms from IoT-based fire detection system in K institution
그림 Fig. 4. Delta pattern of smoke signals.
그림 Fig. 5. Gamma pattern of smoke signals.
그림 Fig. 6. Hybrid pattern of smoke signals.
표 Table 2. Number of occurrences of smoke signal patterns
표 Table 3. Number of occurrences of temperature signal pattern
그림 Fig. 7. Delta pattern of temperature signals.
그림 Fig. 8. Gamma pattern of temperature signals.
그림 Fig. 9. Hybrid pattern of temperature signals.
표 Table 4. False alarm rate of automatic fire-detection equipment (Korea Fire Protection System Management Association, 2015)
표 Table 5. False alarm rate of IoT-based fire-detection system(K institution, 2016~2020)
표 Table 6. False alarm rate of automatic fire-detection equipment (K institution, 2018~2020)

참고문헌 (12)

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