Addressing issues such as unbalanced air volume distribution and insufficient local ventilation capacity during the sequential production process in the dual levels of Daye Iron Mine, a combination of field investigation and Fluent software simulation was employed to conduct numerical simulations of the current ventilation system, the ventilation systems for subsequent production conditions, and the proposed optimization schemes. Field investigation results indicated: significant ventilation energy loss occurred at the drainage raise in the -360m level of the eastern area, approximately 15 m3/s; airflow reversal was present at the water-proof door in the -360m level of the eastern area; and management of multiple ventilation structures underground was inadequate. The sequential production process in the dual levels was divided into three working conditions: advanced development, first mining block extraction, and second mining block development. Numerical simulations were conducted for each condition. Comprehensively considering these, the increased resistance regulation method was adopted to optimize ventilation for each stage. Analysis of the simulation results for the optimization schemes shows that: for the advance development condition, the fresh air volume in the -285m sublevel increased by 7.78 m3/s, the air volume loss situation at the drainage raise was improved, and the airflow reversal problem was resolved; for the first mining block extraction and second mining block development conditions, the fresh airflow in the western stope increased by 4.12 m3/s and 1.89 m3/s respectively, and the fresh airflow in the eastern stope increased by 4.55 m3/s and 4.93 m3/s respectively. After the implementation of the optimization scheme on site, the water mist convergence phenomenon in the -360m level of the eastern area was significantly improved.