基于多目标决策的深井降温方法优选

Optimal Selection of Deep Well Cooling Method Based on Multi-objective Decision Making

当前深井降温方法的选取方法具有局限性,故提出基于多目标决策的优选方法,该方法可有效提高深井降温方法优选决策的科学性。研究采用"专家咨询法"确定优选决策的5个评价指标,用相对重要性序列矩阵法求出各指标的权值;以原始围岩温度和开采深度作为选择降温方案的参考依据,选取指标数据完整的28个矿井,对其评价指标值与权值进行多目标决策计算;以计算结果值与理想结果值偏差最小的方案为优选方案,得到不同原始岩温和开采深度下对应的最优矿井降温方法。该方法可根据热害等级、原始岩温和开采深度等优选适合相应矿井的最优降温方案。

The selection method of deep well cooling has limitation,so an optimal selection method based on multi-objective decision making was proposed,which can effectively improve the scientificity of decision making of deep well cooling.Expert consultation method was used to determine the five evaluation indicators for the optimal decision,and used the relative importance sequence matrix method was used to obtain the weight of each indicator.Taking the original surrounding rock temperature and mining depth as the reference standard for selecting a cooling scheme,index data of 28 mines were selected,multi-objective decision calculations on the evaluation index values and weights were performed.The method with the smallest deviation between the calculated result and the ideal result were taken as the optimal scheme.It was obtained that the corresponding optimal cooling scheme at different original rock temperatures and mining depths.This method can select the optimal cooling scheme suitable for the corresponding mine according to the heat damage grade,original rock temperature and mining depth.