Explosion prevention is vital for process safety and daily life. In practice, inerting is viewed as an ideal method to reach basic explosion prevention as well as to diminish flammability risk in normal operation, storage, and transportation of materials. This study deals with the inerting effect on the explosion range for methane via grey entropy model, comparatively detected under the different inert gases of nitrogen (N₂), argon (Ar), and carbon dioxide (CO₂), which have various loading inerting concentrations: 10 (90 vol% air), 20 (80 vol% air) and 25 vol% (75 vol% air). The inert influences were determined via the experimental 20-L-apparatus investigations under 1 atm, 30 ^OC, combined with the grey entropy model, which is one of the most prevailingly used grey system theories for weighting analysis and decision-making of the fire and explosion assessment for practical operations. The results indicated that CO₂ had better inerting capacity than the others, as derived from our grey entropy theoretical soft computing calculations. Through the combination of the grey entropy weighting analysis model and the flammability investigations in this study, the concluded decision-making was feasible and useful for the practical applications of inert gases for preventing fire and explosion hazards in relevant processes.

防爆对过程安全和日常生活至关重要。在实践中，惰化被认为是实现基本防爆并降低材料在正常运行，存储和运输中的可燃性风险的理想方法。本研究通过灰色熵模型处理了甲烷爆炸范围的惰化效应，该模型在不同惰性气体氮气（N ₂），氩气（Ar）和二氧化碳（CO ₂）的不同惰性气体下进行了比较，并具有不同的惰化负荷。浓度：10（90体积％空气），20（80体积％空气）和25体积％（75体积％空气）。惰性影响是通过在1个大气压，30 ^O下的20-L装置进行实验研究确定的C与灰色熵模型相结合，灰色熵模型是用于实际操作的火灾和爆炸评估的加权分析和决策的最常用的灰色系统理论之一。结果表明，根据我们的灰色熵理论软计算结果，CO _2的惰化能力强于其他惰化能力。通过将灰色熵权分析模型与可燃性研究相结合，得出的结论决策对于惰性气体在相关过程中预防火灾和爆炸危险的实际应用是可行的和有用的。