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      디지털 방식 무선 화재알림설비의 신호 패턴 인식기법 적용 = Application of Signal Pattern Recognition Technique of Digital Wireless Fire- Alarm System

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      https://www.riss.kr/link?id=A108327105

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      다국어 초록 (Multilingual Abstract)

      The purpose of this study was to apply the signal pattern recognition technique to the digital wireless fire-alarm system and to reduce unwanted fire alarms. In this study, the fire alarms of the K Institute, which operates the largest digital wireles...

      The purpose of this study was to apply the signal pattern recognition technique to the digital wireless fire-alarm system and to reduce unwanted fire alarms.
      In this study, the fire alarms of the K Institute, which operates the largest digital wireless fire-alarm system in Korea, were classified into normal operations and unwanted fire alarms, and these were analyzed and compared with actual fire signals.
      In addition, by designing a non-fire signal filter and applying it to the K Institute, we confirmed that the monthly unwanted fire alarm rate of all 5,713 detectors decreased sharply. In particular, the unwanted fire alarm rate for flame decreased from 1.09% to 0.11% and the unwanted fire alarm rate for smoke decreased from 0.65% to 0.035%.

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      참고문헌 (Reference) 논문관계도

      1 박승환 ; 김두현 ; 김성철, "사례 분석을 통한 IoT 기반 화재탐지시스템의 화재 감지신호 특성" 한국안전학회 37 (37): 16-23, 2022

      2 김윤지 ; 조현종, "딥러닝을 이용한 영상 기반의 화재 위치 감지" 대한전기학회 69 (69): 474-479, 2020

      3 Small Business Market Promotion Corporation, "Traditional Market Fire Notification Facility Installation Business Operation Manual" 2019

      4 Korea Fire Industry and Technology Institute, "Research Report on Technical Proposals to Reduce Non-fire Alarms in Automated Fire-detection Equipments" 13-, 2015

      5 Korea Fire Industry Cooperative, "Recommended useful life of Firefighting Equipment"

      6 "National Fire Agency, National Fire Date System"

      7 "National Fire Agency Notice(No. 2019-5), Partial amendments to the Enforcement Decree of Act On Fire Prevention And Installation, Maintenance, And Safety Control Of Fire-Fighting Systems"

      8 W. Tan, "Mine Fire Detection System Based on Wireless Sensor Networks" 2007

      9 M. Vogel, "Low Profile Heat Sink Cooling Technologies for Next Generation CPU Thermal Designs" 11 (11): 20-26, 2005

      10 F. Saeed, "IoT-Based Intelligent Modeling of Smart Home Environment for Fire Prevention and Safety" 7 (7): 2018

      1 박승환 ; 김두현 ; 김성철, "사례 분석을 통한 IoT 기반 화재탐지시스템의 화재 감지신호 특성" 한국안전학회 37 (37): 16-23, 2022

      2 김윤지 ; 조현종, "딥러닝을 이용한 영상 기반의 화재 위치 감지" 대한전기학회 69 (69): 474-479, 2020

      3 Small Business Market Promotion Corporation, "Traditional Market Fire Notification Facility Installation Business Operation Manual" 2019

      4 Korea Fire Industry and Technology Institute, "Research Report on Technical Proposals to Reduce Non-fire Alarms in Automated Fire-detection Equipments" 13-, 2015

      5 Korea Fire Industry Cooperative, "Recommended useful life of Firefighting Equipment"

      6 "National Fire Agency, National Fire Date System"

      7 "National Fire Agency Notice(No. 2019-5), Partial amendments to the Enforcement Decree of Act On Fire Prevention And Installation, Maintenance, And Safety Control Of Fire-Fighting Systems"

      8 W. Tan, "Mine Fire Detection System Based on Wireless Sensor Networks" 2007

      9 M. Vogel, "Low Profile Heat Sink Cooling Technologies for Next Generation CPU Thermal Designs" 11 (11): 20-26, 2005

      10 F. Saeed, "IoT-Based Intelligent Modeling of Smart Home Environment for Fire Prevention and Safety" 7 (7): 2018

      11 박승환 ; 김두현 ; 김성철, "IoT 기반 화재탐지시스템의 연기 및 온도감지기 비화재보 신호 패턴 분석" 한국안전학회 37 (37): 69-75, 2022

      12 S. Hamilton, "Intel Research Expands Moore's Law" 36 (36): 31-40, 2003

      13 C. Soule, "Future Trends in Heat Sink Design" 7 (7): 18-27, 2001

      14 J. Zhang, "Forest Fire Detection System based on a ZigBee Wireless Sensor Network" Springer 369-374, 2008

      15 Kwon S. E., "Coupang Logistics Center Fire Alarm Went Off, but it was Considered a Malfunction and Reset 6Times" ChosunMedia 2021

      16 "Comprehensive Negative Regulatory Transition Plan" 2019

      17 주영훈 ; 최준선, "CCTV 기반 화염의 특성과 밀도 기반 공간 클러스터링을 이용한 화재 감지 방법" 대한전기학회 71 (71): 656-662, 2022

      18 LDT, "Analysis of Real Fire Experiments at Dangjin Fire Station, an IoT Complex Fire Detection Device"

      19 "Administrative Audit Data for Seoul Fire and Disaster Headquarters"

      20 T. Listyorini, "A Prototype Fire Detection Implemented using the Internet of Things and Fuzzy Logic" 16 (16): 42-46, 2018

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