IoT 기반 화재탐지시스템의 연기 및 온도감지기 비화재보 신호 패턴 분석

• Published in: 한국안전학회지 Vol. 37; no. 2; pp. 69 - 75
• Main Authors: 박승환, Seunghwan Park, 김두현, Doo-hyun Kim, 김성철, Sung-chul Kim
• Format: Journal Article
• Language: Korean
• Published: 한국안전학회 30.04.2022
• Subjects: false alarm rate; IoT-based fire detection system; unwanted fire alarms; 안전공학; IoT-based fire detection system; false alarm rate; unwanted fire alarms
• ISSN: 1738-3803; 2383-9953

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.