摘要
针对传统的采矿方法选择中模糊数学法、层次分析法、灰色聚类法以及神经网络法存在的弊端,把计量经济学中的综合指数法原理引入采矿方法选择中,建立起了采矿方法选择的类综合指数法模型,使原来采矿方法中定性的比较转化成定量的分析,用直观的数字来评价采矿方法优劣。通过建立类综合指数法模型优选采矿方法,对采矿方法中的开采技术及矿体赋存条件指标进行综合评价,通过类综合指数计算,得出内蒙古某铜矿Ⅰ号矿床铜矿体开采中阶段矿房法的类综合指数最大,达到0.564,最接近Ⅰ级标准的0.586。据此可判断出采矿方案优劣程度,最终选出最优采矿方法,其结果与矿体开采实际情况基本一致。把类综合指数法引入采矿方法优选中,简化了采矿方法选择问题,大大提高了采矿方法优选效率。
Based on the deficiencies of fuzzy mathematics, AHP, grey clustering and neural network in conventional mining methods selection, the principle of comprehensive index method in econometrics is introduced into the selection of mining method and the category comprehensive index method was set up to select the mining methods. The original qualitative comparison in selection was converted into the quantitative evaluation, which can intuitively estimate the merits and demerits of mining method with figures. Through building the category comprehensive index method model to select the mining method, the mining technology and ore body condition index were comprehensively estimated and maximum index of stage room mining method about the No. 1 copper deposit in Inner Mongolia reached 0. 564 ,closest to the grade 0. 586 of standard I . Accordingly,the superiority of the mining plan was determined, and the optimal mining method worked out, which is consistent with the actual mining situation. The category comprehensive index method introduced into the optimization of mining method, simplifies the selection of mining methods, and greatly improved the optimization of mining method.
出处
《金属矿山》
CAS
北大核心
2014年第6期25-30,共6页
Metal Mine
基金
国家自然科学基金项目(编号:51374034)
"十二五"国家科技支撑计划项目(编号:2012BAB08B02)
关键词
采矿方法
类综合指数
标准矩阵
虚拟优劣点
Mining methods
Category comprehensive index
Standard matrix
Virtual strength and weakness
