Abstract:Daye Iron Ore is in the continuous mining stage of -270 m~-360 m middle section, the remaining ore volume in the middle section of -270 m is insufficient, and the stope production capacity will be insufficient in the early stage of -360 m middle section, and the mine output is unstable, which is difficult to meet the design capacity of 1.3 million t/a per year. According to the process characteristics of the upper horizontal layered backfill mining method and the subsequent filling method of the empty field in the staged rock drilling stage, based on the distribution of each stope, the mining process and the current situation of the mining equipment in the middle section of Daye Iron Mine -360 m, the stope mining equipment scheduling optimization model was established, the genetic algorithm was used to simulate the most compact process arrangement, and the maximum number of simultaneous stopes was solved based on the equipment utilization function, and two mining schemes were proposed. The results show that when the number of stopes that can be mined at the same time in the middle section of -270 m is 3, and the number of stopes that can be mined at the same time in the middle section of -360 m is 5, the maximum daily production capacity reaches 4218 t/d. Further optimization of stope layout, the results show that the mining scheme of the two middle sections is more efficient, the ore production is more stable, the annual production capacity reaches 1.437 million tons, and the comprehensive production capacity exceeds the target value by 10.5%, which is helpful to solve the problem of insufficient production capacity and unstable production of Daye Iron Mine in the current state of two middle sections.