基于灰关联与层次分析的地下开采采矿方法优选

Optimization of underground mining method selection based on grey correlation analysis and analytic hierarchy process

采矿方法选择是地下开采金属矿山建设的一项重要内容,涉及影响因素众多,且各因素之间灰色关联。因此,灰关联分析作为一种有效的分析方法在采矿方法优选研究中得到广泛应用,但传统的灰关联分析不考虑各个影响因素的权重系数的不同,存在缺陷。介绍了基于灰色理论和层次分析理论,建立灰关联分析和9标度层次分析法(AHP)相结合的采矿方法优选模型,先根据灰关联分析理论,得到几种采矿方法的关联系数;再利用层次分析理论确定各评价指标权重,最终求得关联度。大冶铁矿工程实例表明,该采矿方法优选模型切实可行,具有一定推广和应用价值。

The selection of mining method is important for underground metallic mine construction, involving so many influence factors with the characteristics of grey correlation. Thus, grey correlation analysis is widely used in the optimization of mining method selection as an effective means, but there is a problem that traditional grey correlation analysis ignores the different weight factors of parameters. Considering the above reasons, a grey correlation analysis and 9 -scale analytic hierarchy process decision-making model is established for the optimization of mining method selection based on gray theory and analytic hierarchy process theory. First, a few correlation factors of mining methods are obtained based on grey correlation analysis. And then the weight factors of each evaluation index are determined by an- alytic hierarchy process to get the correlation degree. The Daye Iron Mine case indicates that the model is applicable, with certain promotion and application value.