최소산소농도의 정확한 지식은 산업화재를 적절하게 예방하고, 제어하는데 중요하다. 본 연구에서는 Response Surface Methodology(RSM) 방법과 문헌자료를 사용하여 최소산소농도(MOC)를 예측하는 식을 제시하였다. 탄화수소에 대한 예측 식에 의해 계산된 최소산소농도와 문헌값의 A.A.P.E.(average absolute percent error)는 $3.48\%$, A.A.D.(average absolute deviation)는 $0.57vo1\%$ 그리고 상관계수는 0.919이다. 탄화수소와 할로겐화탄화수소를 포함한 경우 예측값과 문헌값의 A.A.P.E.는 $5.06\%$, A.A.D.는 $0.59vo1\%$, 상관계수는 0.938이다. 제시한 예측식에 의한 계산값은 문헌값과 일치하였다. 따라서 본 연구에서 제시된 식이 다른 가연성물질의 최소산소농도 연구에도 이용되기를 기대한다.
An accurate knowledge of the minimum oxygen concentration(MOC) is important in developing appropriate prevention and control measures in industrial fire protection. In this study, by using the literature data and RSM(response surface methodology), the new equations for predicting the MOC are proposed. The A.A.P.E.(average absolute percent error) and the A.A.D.(average absolute deviation) of the reported and the calculated MOC for hydrocarbons were $3.48\%;and;0.37;vol\%$, respectively and the correlation coefficient was 0.919. The A.A.P.E and the A.A.D of the reported and the calculated MOC for halogenated hydrocarbons and hydrocarbons were $5.06\%$ and $0.59vo1\%$, and the correlation coefficient was 0.938. The values calculated by the proposed equations were in good agreement with the literature data. Therefore, it is expected that this proposed equations will support the use of the research for other flammable substances.
