基于未确知测度理论的采矿方法优选

为选择适合贵州某金矿的最佳采矿方法,以解决该矿开采难度大与开采成本高的问题,根据矿山实际地质条件,初选出了适用于该矿体的采矿方法。将数值模拟与未确知测度理论相结合,利用数值模拟分析三种备选采矿方法的安全性,同时作为优选模型的指标。结合矿山实践经验,优选出采场生产能力等11项影响采矿方法选择的指标,利用信息熵计算各指标的客观权重,引入置信度识别准则进行评价,同时按照优越度进行排序,构建基于未确知测度理论的采矿方法优选模型。通过综合比较分析,最终确定最佳的采矿方法即下向中深孔落矿嗣后充填法,该方法可以有效解决目前开采遇到的问题,扩大矿山生产能力,降低采矿成本,提高矿山经济效益。

Application of Mining Method Optimum Selection Based on Unknown Measure Theory

In order to select the best mining method suitable for a gold mine in Guizhou, and to solve the problems of difficult mining and high mining cost, according to the actual geological conditions of the mine and through consulting the data, the mining method suitable for the ore body was selected. Combining numerical simulation with unascertained measurement theory, the safety of three alternative mining methods is analyzed by numerical simulation, which is used as the index of optimization model. Combining with mine practical experience, 11 indexes affecting the selection of mining methods, such as stope production capacity, are selected. The objective weights of each index are calculated by using information entropy, and the confidence recognition criteria are introduced for evaluation. At the same time, the mining method optimization model based on unascertained measure theory is constructed by ranking according to superiority degree. Through comprehensive comparative analysis, the best mining method, i.e. downward mid-deep hole mining and subsequent filling method, is finally determined. This method can effectively solve the problems encountered in current mining, expand the production capacity of mines, reduce mining costs and improve the economic benefits of mines.