基于统计回归模型的硫化矿石自燃倾向性鉴定指标研究  

Study on the identification indexs about spontaneous combustion tendency of sulf-ores by statistical regression model

作　　者：赵军[1] 张兴凯[1] 王云海[1] 李东华[1] 

机构地区：[1]中国安全生产科学研究院

出　　处：《中国安全生产科学技术》2010年第4期20-22,共3页Journal of Safety Science and Technology

基　　金：中国安科院基本科研业务费专项资金项目(编号:2008JBKY03);国家自然科学基金项目(编号:50974109)

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。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.

关 键 词：硫化矿石 自燃倾向性 统计回归模型 鉴定指标 

分 类 号：X936[环境科学与工程—安全科学]