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基于统计回归模型的硫化矿石自燃倾向性鉴定指标研究
引用本文:赵军,张兴凯,王云海,李东华.基于统计回归模型的硫化矿石自燃倾向性鉴定指标研究[J].中国安全生产科学技术,2010,6(4):20-22.
作者姓名:赵军  张兴凯  王云海  李东华
作者单位:中国安全生产科学研究院,北京,100029
基金项目:中国安科院基本科研业务费专项资金项目,国家自然科学基金项目 
摘    要:合理的提出硫化矿石自燃倾向性的鉴定指标,准确鉴别其自燃倾向性,对于矿山防火工作有着重要的意义。本文采用应用非常广泛的一类随机模型—统计回归模型,首先通过分析硫化矿石自燃氧化机理,找到影响硫化矿石自燃倾向性的3个主要影响因素,实验获得相关数据;其次基于3个因素的数据,通过统计分析,建立回归模型,对硫化矿石自燃倾向性进行预测。

关 键 词:硫化矿石  自燃倾向性  统计回归模型  鉴定指标

Study on the identification indexs about spontaneous combustion tendency of sulf-ores by statistical regression model
ZHAO Jun,ZHANG Xing-kai,WANG Yun-hai,LI Dong-hua.Study on the identification indexs about spontaneous combustion tendency of sulf-ores by statistical regression model[J].Journal of Safety Science and Technology,2010,6(4):20-22.
Authors:ZHAO Jun  ZHANG Xing-kai  WANG Yun-hai  LI Dong-hua
Institution:(China Academy of Safety Science and Technology,Beijing 100029,China)
Abstract:It's very important that putting forward the reasonable identification indexs and identifying the sulf-ores spontaneous combustion tendency well for preventing the mine fire.A class of stochastic model which hab been used very widely-the statistical regression model was applied.First of all,the three factors influencing sulf-ores spontaneous combustion tendency were found,and the related experimental data was obtained.Then,based on the data of three factors,through statistical analysis,regression model was set up to conduct the sulf-ores spontaneous combustion tendency forecast.
Keywords:sulfide ores  spontaneous combustion tendency  statistical regression model  identification indexs
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