采场回采质量影响因素灰色关联分析

 影响采场回采质量的因素多且复杂，这些因素往往具有模糊性、不确定性，具有典型的灰色特征。本研究以三维激光探测系统（CMS）为手段，运用矿用软件Surpac构建采空区三维实体模型；跟据矿山的技术资料，计算获得准确的采场回采贫化率、损失率等技术参数；结合矿山信息系统提供的回采经济指标，依据灰色理论的关联分析法，构建某矿山采场回采质量影响因素的灰色模型。以回采贫化率为参考数列，对采场回采质量的影响因素进行灰色关联分析，计算得到各个影响因素的关联度值，定量分析了影响采场回采质量的各因素间的相互作用、主次关系。辨别影响采场回采质量的主要因素，有利于提高采场回采质量管理的针对性。

Grey Relational Analysis of Stope Mining Quality Impact Factors

There are many complicated factors that affect the stope mining quality, and some with fuzziness and uncertainty with typical features of the grey system. In this paper, using CMS to detect the cavity accurately, the three-dimensional model of the cavity is built by Srupac software. The technical parameters such as dilution and loss of the mining are obtained accurately according to the technology data of mining and the three-dimensional model. And then, the mining economic indexes provided by the mine information system are combined, according to the grey theory, to obtain a grey model for analyzing the impact factors of stope mining quality, based on the method of Grey Relational Analysis. With the dilution of the mining as the reference series, the factors that affect stope mining quality are evaluated through the Grey Relational Analysis, to obtain the correlation value of each factor. This method can be used to analyze quantitatively the interaction among various factors and to determine the primary and secondary relations. The main factor can be identified, that would help to improve the management of stope mining quality impact factors.