深井底板突水组合灰色物元判别系统及应用  

Discrimination system of combined grey matter-element for water-bursting in seam floor of deep mine

作　　者：孙明[1] 郑文翔[1] 张文泉[2] 马凯[1] 

机构地区：[1]内蒙古科技大学高职院,内蒙古包头014010 [2]山东科技大学资源与环境工程学院,山东青岛266510

出　　处：《煤田地质与勘探》2011年第6期36-40,共5页Coal Geology & Exploration

基　　金：中国博士后基金项目(20090461257)

摘　　要：深井底板突水预测是一个复杂的理论与技术问题,具有模糊性、灰色性和不相容性的特点。建立了深井底板突水的主控指标体系,通过灰色关联分析得到主控因素,应用熵值调整法确定了各主控因素在突水过程中的贡献权重。根据灰色物元分析理论,分别建立了线性灰色物元判别模型和最优灰色物元判别模型,采用VB6.0开发了深井底板突水组合灰色物元判别系统。该系统两种模块的并列运行和相互验证提高了判别结果的准确程度,使系统初步具备了受承压水威胁的深井工作面的危险度预测功能。应用该系统进行深井突水案例的模拟结果与实际情况比较吻合,这表明该系统对深井复杂条件下的矿井底板突水预测具有较好的应用价值。Prediction of water outburst in seam floor of mines is a complex theoretic and technical problem,which has characters of fuzziness,grey and incompatibility.By building the factor index system and getting nine main factors through the grey correlation,the contribution weights are ascertained by the entropy adjustment.According to the grey matter-element analysis theory,it builds the linear grey matter-element and optimal grey matter-element model respectively,the discrimination system of combined grey matter-element for water outburst in seam floor of deep mines is exploited by VB 6.0.The two module in parallel operation and mutual verification can much raise the result precision,it is basically capable of forecasting deep seam mining faces which are all threatened by the Ordo-vician limestone water.The answer of simulation analysis applying this system to the realistic water-bursting cases is in good accordance with the truth condition.The system will be of some values for controlling and preventing deep seam water-bursting from coal floor in complex state.

关 键 词：深井底板突水 主控指标体系 灰色关联度 熵值调整 灰色物元分析 判别系统 

分 类 号：TD631[矿业工程—矿山机电] TD741