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다중 센서들을 이용한 다양한 화재 상황의 위험도 추정 시스템 개발

Implementation of Fire Risk Estimation System for various Fire Situations using Multiple Sensors

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초록

In this paper, a fire detection system based on quantitative risk estimation is presented. Multiple sensors are used to build a comprehensive indicator that represents the risk of fire quantitatively. The proposed fire risk estimation method consists of two stages which determines the occurrence of fire and estimates the toxicity of the surveillance area. In the first stage, fire is reliably detected under diverse fire scenarios. The risk of fire is estimated in the second stage. Applying Purser’s Fractional Effective Dose (FED) model which quantitates harmfulness of toxic gases, the risk of the surveillance area and evacuation time are calculated. A fire experiment conducted using four different types of combustion materials for the verification of the system resulted in a maximum error rate of 12.5%. By using FED calculation and risk estimation methods, the proposed system can detect various signs of fire faster than conventional systems.

Abstract

In this paper, a fire detection system based on quantitative risk estimation is presented. Multiple sensors are used to build a comprehensive indicator that represents the risk of fire quantitatively. The proposed fire risk estimation method consists of two stages which determines the occurrence of fire and estimates the toxicity of the surveillance area. In the first stage, fire is reliably detected under diverse fire scenarios. The risk of fire is estimated in the second stage. Applying Purser’s Fractional Effective Dose (FED) model which quantitates harmfulness of toxic gases, the risk of the surveillance area and evacuation time are calculated. A fire experiment conducted using four different types of combustion materials for the verification of the system resulted in a maximum error rate of 12.5%. By using FED calculation and risk estimation methods, the proposed system can detect various signs of fire faster than conventional systems.

참고문헌 (10)

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  7. 김홍진, "FDS_EVAC에 적용된 독성가스모델(FED)이 피난에 미치는 영향 분석 및 개선에 대한 연구", 한국안전학회지, 28(1), pp.125~131 (2013), 한국안전학회
  8. Toxicity Assessment of Combustion Gases and Development of a Survival Model, "Speitel, L. C.", Federal Aviation Administration Washington DC Office of Aviation Research, ~, pp.Federal Aviation Administration Washington DC Office of Aviation Research, No. DOT (1995), FAA[DOI]
  9. Y. U. Choi, "Implementation of the Adaptive Fire Alert System using Risk Sensitivity Estimation", 8th Int. Conf. Internet (ICONI 2016), pp.123~126 (2015)
  10. 조시형, "다중가스센서를 이용한 화재의 조기검출에 대한 연구", 센서학회지, 23(5), pp.342~348 (2014), 한국센서학회[DOI]

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