回采巷道锚杆支护效果分类预测的Fisher判别分析模型及应用  

Fisher Discriminant Analysis Model for Classifying Bolt Support Effects in Mining Gateway and Its Application

作　　者：刘唐圣 王成帅[2] 王飞[1] 

机构地区：[1]太原理工大学矿业工程学院,山西太原030024 [2]太原理工大学采矿工艺研究所,山西太原030024

出　　处：《煤矿安全》2013年第10期205-208,共4页Safety in Coal Mines

摘　　要：应用统计学理论并结合工程实际,建立回采巷道锚杆支护效果分类的Fisher判别分析模型,选取围岩强度、巷道断面、采动影响系数、巷道埋深、围岩完整度、护巷煤柱宽度和支护强度等7个因素作为回采巷道锚杆支护效果分类判别因素。利用平顶山矿区18条深井动压回采巷道的相关数据作为学习样本进行学习,建立回采巷道锚杆支护效果的Fisher判别分析模型,求的相应线性判别函数。运用建立的模型对平顶山矿区的4条回采巷道锚杆支护效果进行分类预测,预测结果与实际情况吻合良好。Based on the statistical theory theory, combining with the practice of project, a Fisher discriminant analysis model was estab- lished for classifying bolt support effects of mining gateway. Seven major bolt support effects factors such as strength of surrounding rock, roadway section, coefficient of mining influence, buried depth of roadway, integrities of rock, width of coal pillar, support intensity were regarded as the discriminant factors of the FDA model. A series of related data of bolt support effects in 18 deep roadways under dynamic pressure strips of Pingdingshan mining area were taken as the learning samples. The discriminant functions were also estab- lished. Four samples of bolt support effects of mining gateway were used to verify this model and the prediction results fully correspon- ded to actual situation.

关 键 词：回采巷道 锚杆支护 Fisher判别分析模型 回代估计法 

分 类 号：TD353[矿业工程—矿井建设]