论文部分内容阅读
由于大型商场具有空间大、人员密集和可燃物多等特点,一旦发生火灾事故,会造成严重的财产损失和人员伤亡,也会给城市带来严重的形象危机。首先,应用突变理论,借鉴模糊数学中隶属函数的确定方法确定因素的隶属度值,通过突变归一公式本身的内在作用决定各自的权重,并进行量化递归运算,求出总突变隶属函数值;然后,利用灰关联分析法对评价指标因素进行排序并得出影响大型商场火灾风险的关键因素;最后,将该评价方法应用于龙湖商场火灾风险评价中,得出其火灾风险水平并给出改进措施。通过对龙湖商场的火灾危险性评估结果可知,该评估模型有助于大型商场的火灾安全管理,可有效地预防大型商场火灾事故的发生。
Due to the characteristics of large shopping malls, such as large space, high concentration of personnel and more combustibles, serious fire damage will result in serious property damage and casualties, and will also bring serious image crisis to the city. First of all, using the catastrophe theory, drawing on the membership function of fuzzy mathematics to determine the membership value of the factors, by determining the weight of their own inherent function of mutation normalization, and quantitative recursive operation, find the total mutation membership value; Then, using gray relational analysis to rank the evaluation index factors and get the key factors that affect the fire risks in large shopping malls. Finally, this method is applied to the fire risk assessment of Longhu Shopping Center, and the fire risk level is obtained and improved Measures. Through the fire risk assessment of Longhu shopping mall, it can be seen that the evaluation model is helpful to the fire safety management of large shopping malls and can effectively prevent the occurrence of fire accidents in large shopping malls.