Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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Analysis of Unwanted Fire Alarm Signal Pattern of Smoke / Temperature Detector in the IoT-Based Fire Detection System

IoT 기반 화재탐지시스템의 연기 및 온도감지기 비화재보 신호 패턴 분석

  • Park, Seunghwan (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 : 2021.11.29
  • Accepted : 2022.02.15
  • Published : 2022.04.30
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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.

Keywords

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. E. H. Hwang, S. J. Park and S. E. Lee, "A Study on Mistaken Dispatch Reduction Measures due to Unwanted Fire Alarms", Fire Science and Engineering, Vol. 34, No. 6, pp. 23-30, 2020. https://doi.org/10.7731/KIFSE.be0e09b6
  12. Dongwon University, Industry-University Cooperation Foundation, Research on Technical Proposals to Reduce False Alarms in Automatic Fire-detection Equipment, p. 14, 2015.