Daye Iron Mine is carrying out a continuous mining project from-270 m middle section to-360 m middle section.Due to the lagging of the-360 m middle section mining and cutting project,the initial production capacity of the-360 m middle section is insufficient,making it difficult to reach the designed production capacity of 4 320 t/d.Equipment scheduling optimization and process connection optimization are crucial measures to address the issue of insufficient production capacity.According to the characteristics of sublevel rock drilling stage ore subsequent filling mining method,the connection relationships among mining and cutting,rock drilling,charging,blasting ventilation,ore drawing were analyzed.Based on the distribution of stopes,mining process,and current mining equipment status at the-360 m middle section of the Daye Iron Mine,the mining equipment scheduling in the stope was optimized,and the Genetic Algorithm(GA)was then used to solve the most efficient equipment scheduling plan for the-360 m middle section.The results indicate that under the conditions of equipment scheduling optimization(single-objective optimization),the shortest total mining time is 6 336 hours,and the production capacity of the first stope reaches 3 782 t/d.Through further optimizing the process connection(dual-objective optimization),the time interval of the recovery process has been reduced,the efficiency of the use of equipment has been improved,the minimum total mining time has been shortened to 4 250 hours,and the total actual working time has been reduced by 1 977 hours,with a decrease of 27％.The production capacity of the first mining stope reaches 5 189 t,and the comprehensive production capacity exceeds the target value by 20％,which is helpful to solve the problem of insufficient capacity of Daye Iron Mine in the current state of lagging mining and cutting.
Production continuitySublevel rock drilling stage ore subsequent filling mining methodEuipment schedulingPocess connectionGenetic algorithm
万方数据
