Airflow disturbance can cause a change in the air refractive index, which will introduce an unknown wavefront measurement error, especially for large-aperture, long-focus optical systems. To suppress this effect, this paper proposes an indoor temperature field control method based on Computational Fluid Dynamics (CFD). First, the cause of the wavefront detection error induced by air disturbance is analyzed, and the feasibility of improving the uniformity of indoor temperature field and restraining the influence of air disturbance using active air supply is expounded based on hydrodynamics theory. Secondly, an indoor temperature field control method using fan array for active air supply is proposed through simulation modeling, which considers the composition of the self-collimation optical path of an off-axis Three-Mirror Anastigmatic (TMA) telescope (diameter of 500 mm, focal length of 6 000 mm) and the environmental conditions. Finally, the actual optical measurement data before and after temperature field control are compared to verify the effectiveness of the proposed method. The results show that the standard deviation among the seven groups of aberration coefficient measurements (mean values of multiple measurements over a period of time) decreased from 0.034λ to 0.005λ(λ=632.8 nm). The proposed method can effectively suppress the influence of airflow disturbance, which has certain reference significance for improving the optical detection accuracy of large-aperture long-focus optical systems under non-vacuum conditions.