Journal of the Korean Institute of Gas (한국가스학회지)

The Korean Institute of GAS (한국가스학회)
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Test Bed Design of Fire Detection System Based on Multi-Sensor Information for Reduction of False Alarms

화재감지 오보 감소를 위한 다중정보기반 시스템의 Test Bed 설계

  • Lee, Kijun (Department of Chemical Engineering, Myongji University) ;
  • Kim, Hyeong Gweon (Korea Institute of Fire Industry & Technology) ;
  • Lee, Bong Woo (Korea Institute of Fire Industry & Technology) ;
  • Kim, Tae-Ok (Department of Chemical Engineering, Myongji University) ;
  • Shin, Dongil (Department of Chemical Engineering, Myongji University)
  • Received : 2012.11.24
  • Accepted : 2012.12.27
  • Published : 2012.12.31
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Abstract

Fire detection system is used for detection and alarm-generation of danger in case of fire. Most fire detection systems being used these days often malfunction from false positive and false negative errors. To improve detection reliability, an integrated fire detection algorithm using multi-senor information of heat, smoke and carbon monoxide detectors is suggested, then built and tested using the LabVIEW environment. Simulated using sensor measurement data offered by National Institute of Standards and Technology (NIST), possibility of reducing false positive and false negative errors is verified.

화재감지 시스템은 화재발생 시 위험 감지 및 전파를 위해 사용되고 있는데, 현재 사용 중인 대부분의 화재감지 시스템은 실보와 비화재보의 가능성으로부터 오동작이 빈번하게 발생한다. 본 연구에서는 화재감지의 신뢰성 개선을 위해 열 감지기, 연기 감지기 및 일산화탄소 농도 감지기의 3가지 독립정보를 통합적으로 이용하여 화재를 감지하는 알고리즘을 제안하고, LabVIEW를 이용하여 test bed를 구축하여 검증하였다. 즉, NIST의 Fire Research Division에서 제공하는 상황별 센서 측정 데이터를 이용하여 시뮬레이션을 진행하였으며, 실보와 비화재보의 가능성을 저감시키는 것을 확인할 수 있었다.

Keywords

References

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