基于未确知测度理论的地下金属矿山合理产能优选  

Rational productivity optimization for underground metal mine based on uncertainty measurement theory

作　　者：陈顺满[1] 许梦国[1] 王平[1,2] 徐钊[1] 雒凯[1] 

机构地区：[1]武汉科技大学资源与环境工程学院,湖北武汉430081 [2]华中科技大学土木工程与力学学院,湖北武汉430074

出　　处：《武汉科技大学学报》2013年第6期461-464,共4页Journal of Wuhan University of Science and Technology

摘　　要：基于未确知测度理论建立矿山合理产能优选模型,选择矿山合理产能最优方案。选取年利润等5个指标体系建立未确知测度模型,对可供选择的7个方案优选结果表明,最优方案为,矿山年产金属量15万t,年利润13.5亿元,年成本5.3亿元,全员生产率1650.6t/人,万吨通风量4.8m3/(万t·s),服务年限11a。所得结果同灰色局势决策优化方法评价结果一致,证明未确知测度理论评判方法可靠。In order to solve the problem of reasonable production capacity optimization on one under- ground metal mine, this study, based on the uncertainty measurement theory, established a compre- hensive evaluation model. The evaluation of 7 schemes available with the model suggests that the scheme is optimal when the annual metal yield is 150 000 tons, the annual profit 1.35 billion yuan, the annual cost 0.53 billion yuan, the overall productivity 1650.6 tons per person, the ventilation rate for the production of ten thousand tons of ore 4.8 m3/（ten thousand t. s）, and the service life 11 a. The results are in sound agreement with those obtained with the grey situation decision method, which indicates that the method based on the uncertainty measurement theory is scientific and rigorous.

关 键 词：矿山 合理产能 未确知测度理论 灰色局势决策 

分 类 号：TD803[矿业工程—矿山开采]