基于突变分级模型的采矿方法优选

Mining method optimization based on mutation model

利用突变理论处理不确定性问题的优势,构建了采矿方法优选模型。以夏甸金矿为工程背景,基于三种缓倾斜薄矿脉的采矿方案,选取12个经济技术指标建立综合评价体系。利用归一公式对各指标重要性进行量化,比较各方案的隶属度,从而选取最优方案。突变分级模型计算得到的三种采矿方案隶属度分别为0.707,0.839和0.701,方案Ⅱ(点柱式上向分层充填采矿法)最优。结果表明,突变分级模型在采矿方法优选中有一定的合理性和可行性。

By making use of the advantages of mutation theory in dealing with the uncertain problems, a mathe- matical model is established to optimize the mining method. With Xiadian Gold Mine as the engineering background, three mining methods are put forward and 12 economic and technical indexes are chosen to build a comprehensive hierarchy structure. The importance of each indicator is quantified by the normalized formula, and then the optimum method can be obtained by comparing the value of mutation subjection function. The values of mutation subjection function of planⅠ to Ⅲ are 0. 707, 0. 839 and 0. 701 respectively. The second method （upward horizontal slicing stoping filling method） is proved to be the best. The result shows that the model is reasonable and feasible.