Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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A Case Study of the Characteristics of Fire-Detection Signals of IoT-based Fire-Detection System

사례 분석을 통한 IoT 기반 화재탐지시스템의 화재 감지신호 특성

  • 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)
  • 박승환 (한국원자력연구원 연구실안전팀) ;
  • 김두현 (충북대학교 안전공학과) ;
  • 김성철 (충북대학교 안전공학과)
  • Received : 2022.03.03
  • Accepted : 2022.05.24
  • Published : 2022.06.30
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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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References

  1. National Fire Agency, National Fire Date System
  2. W. Tan, Q. Wang, H. Huang, Y. Guo and G. Zhan, "Mine Fire Detection System Based on Wireless Sensor Networks", In Proceedings of the Conference on Information Acquisition (ICIA'07), 2007.
  3. J. Zhang, W. Li, N. Han and J. Kan, "Forest Fire Detection System based on a ZigBee Wireless Sensor Network", Springer, pp. 369-374, 2008.
  4. F. Saeed, A. Paul, A.l Rehman, W. H. Hong and H. Seo, "IoT-Based Intelligent Modeling of Smart Home Environment for Fire Prevention and Safety", J. Sens. Actuator Networks, Vol. 7, Issue 1, 2018.
  5. T. Listyorini and R. Rahim, "A Prototype Fire Detection Implemented using the Internet of Things and Fuzzy Logic", World Trans. Eng. Technol. Educ., Vol. 16, No. 1, pp. 42-46, 2018.
  6. H. J. Kim and J. H. Kim, "Development of a Novel Real-Time Monitoring System Algorithm for Fire Prevention", J. Korean Soc. Saf., Vol. 29, No. 5, pp. 47-53, 2014. https://doi.org/10.14346/JKOSOS.2014.29.5.047
  7. D. H. Kim and S. C. Kim, "Electrical Fire Detection System using Temperature and Current Detectors", J. Korean Soc. Saf., Vol. 22, No. 3, pp. 7-12, 2007.
  8. Daegu, Seomun Market District 4 Fire Accident Response White Paper, 2018.
  9. Small Business Market Promotion Corporation, Traditional Market Fire Alarm Facility Installation Business Operation Manual, 2019.
  10. The 75th National Policy Coordination Conference, "Comprehensive Negative Regulatory Transition Plan, 2019.
  11. S. H. Park, D. H. Kim and S. C. Kim, "Analysis of Unwanted Fire Alarm Signal Pattern of Smoke / Temperature Detector in the IoT-Based Fire Detection System", J. Korean Soc. Saf., Vol. 37, No. 2, pp. 69-75, 2022.