Optimization Study On Grade Evaluation Scheme Of Wulongquan Mine Deposit

Faced with problems such as high-quality ore crushing,difficulty in rock drainage,low resource utilization,and low production capacity,Wulongquan Mine uses on-site ore blending to produce ore products.The problem of unreasonable influence on the quality and efficiency of ore blending work for mine grade valuation scheme,considering the importance of grade interval and the correlation of valuation parameters,applying Analytic Hierarchy Process and Rough Set Theory,a weight gray correlation algorithm based on improved RS-AHP is proposed.Based on the average difference grading and discretization of the ore-level estimates of each grade interval,the importance judgment matrix of the grade interval Q_k is established,and the weight coefficient of the grade interval Q_k is calculated by the sum method and the rough set method respectively.The improved RS-AHP weight determination method not only overcomes the subjective randomness of the analytic hierarchy process but also solves the problem that the rough set determines that the weight coefficient may have a value of zero.The improved RS-AHP weight determination method and Deng’s gray correlation algorithm are combined to establish a weighted gray correlation algorithm based on improved RS-AHP,which scientifically reflects the standard scheme A₀ of the grade evaluation of the deposit and the selected scheme set A_t the degree of correlation under different influences of Q_k in each grade interval provides a new method for decision analysis of mine grade valuation scheme.Through the application analysis in Wulongquan Mine,the optimal deposit grade evaluation scheme A₂₉9 has been proposed eventually.And The attributes of the scheme are the block dimension of 10m,the kriging method,the combined sample length of3m,the search distance of 150m and anisotropy.The grade evaluation results of four sampling points of 43m⁵5m in the recent production of Wulongquan Mine are compared with the corresponding grade test data.The difference between the two is not more than 1.00%,and the average difference is 1.78%.