한국안전학회지 (Journal of the Korean Society of Safety)

  • 제37권3호
  • /
  • Pages.16-23
  • /
  • 2022
  • /
  • 1738-3803(pISSN)
  • /
  • 2383-9953(eISSN)
한국안전학회 (The Korean Society of Safety)
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사례 분석을 통한 IoT 기반 화재탐지시스템의 화재 감지신호 특성

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

  • 박승환 (한국원자력연구원 연구실안전팀) ;
  • 김두현 (충북대학교 안전공학과) ;
  • 김성철 (충북대학교 안전공학과)
  • Park, Seung Hwan (Laboratory Safety Management Team, Korea Atomic Energy Research Institute) ;
  • Kim, Doo Hyun (Department of Safety Engineering, Chungbuk National University) ;
  • Kim, Sung Chul (Department of Safety Engineering, Chungbuk National University)
  • 투고 : 2022.03.03
  • 심사 : 2022.05.24
  • 발행 : 2022.06.30
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초록

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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참고문헌

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