论文部分内容阅读
考虑到矿山资源综合利用率由主要矿产品资源利用率和附生矿产品资源利用率构成,而各种矿产品的资源利用率又由矿石贫化率,矿石回采率以及选矿回收率决定,利用灰色聚类理论对历年矿山资源综合利用情况进行了变权聚类.根据聚类结果结合矿山实际情况对历年矿山资源综合利用情况进行了分级,针对原有的灾变式GM(1,1)模型只能对上灾变序列和下灾变序列进行预测,预测信息有限的情况,将灾变式GM(1,1)模型改进成条带式GM(1,1)模型,利用条带式GM(1,1)模型对矿山资源综合利用情况较差的年份进行了分级预测,对不同级别的预测年份,分别采取了不同的应对措施,为矿山提前应对提供了科学依据.
Taking into account the comprehensive utilization of mining resources by the utilization of major mineral resources and epiphytic mineral resources utilization of resources constitute, and various mineral resources utilization rate of ore by the ore dilution rate, ore recovery rate and beneficiation recovery rate, the use of Gray clustering theory is used to carry out variable weight clustering on the comprehensive utilization of mine resources over the years.According to the clustering results combined with the actual situation of the mines, the comprehensive utilization of mine resources in the past years are classified. According to the original catastrophic GM (1,1) model The catastrophic GM (1,1) model can only be modified into a strip-type GM (1,1) model by using the GM (1,1) 1) The model predicts the years in which the comprehensive utilization of mine resources is poor, and takes different measures respectively for the different grades of predicted years, which provides a scientific basis for the mine to respond in advance.