Further improvement can be achieved by analyzing the airflow movement, thereby changing the structure of the system and mechanisms [15,16]. The particle removal performance of the pickup head was numerically investigated [17] for a street vacuum sweeper. An integrated numerical model to predict the flow of gas-solid particles was studied using the Reynolds stress model (RSM) and discrete particle model (DPM) using computational fluid dynamics (CFD) software. The numerical results indicate that the pressure drop and sweeper traveling speed across the pickup head significantly affect the particle removal performance. Using the Euler-Lagrange multiphase computational fluid dynamics (CFD) model, [PERSON] et al. [18] found that the airflow in the actual working environment, air pressure, speed, and flow rate added an external air domain outside the port. [PERSON] et al. [19,20] studied the influence of variable operational conditions and structural parameters on particle separation performance. Moreover, the effect of changes in particle velocity and trajectory on collection efficiency was also realized by CFD modeling. The results showed that changes in particle structure, particle velocity, and pressure in the assimilation mouth appear to affect the efficiency of dust particle collection. The explosion propagation and prevalence of dust explosions in a typical dry dust collector connected to dust collection pipes were investigated using CFD [21] to limit the spread of dust pollution into the environment. [PERSON] et al. [22] presented a numerical simulation method to study dust dispersion characteristics and dust control measures during continuous dusting and dusting periods. [PERSON] et al. [23] studied fugitive dust control technologies for agricultural harvester machinery and presented four fugitive dust emission reduction technologies and five particle measurement methods. [PERSON] et al. [24] explored the dust removal performance of a newly structured microporous membrane filter plate through experiments. [PERSON] et al. [25] analyzed dust control effects under different dust generation conditions using numerical simulations. Based on a parametric analysis, [PERSON] et al. [26] presented the importance of evaluating the assimilation port simulation results with different structures when calculating the limit values of the geometric parameters. The flow simulation results for the dust suction mouth provide practical guidance for flow simulations. By monitoring the cleaning system, it was found that the location of the waste on the road surface and the distance between the suction nozzle and particles are important in the process of collecting particles and debris [27; 28]. A sweeping centrifugal fan creates a pressure difference in the collection of debris and dust on the road, which allows the removal of debris and dust from the road [29; 30]. Research on technology for the visual cleaning of road waste based on the intelligent control of road sweepers has shown that it is very effective in waste collection [31; 32]. The fact that many sweepers are only engaged in garbage collection on the road surface and the movement of particles is not controlled usually affects the assimilation efficiency of particle movement [33; 34]. In a regenerative air sweeper, it is important to control the movement of particles because the airflow out of the system is recirculated through the pickup head inlet duct; if the airflow is fully controlled, it can be ensured that the particles in the recycled air stream do not disperse into the environment under different road conditions and at different driving speeds. This study proposes a secondary airflow control system for regenerative sweepers to improve particle suction efficiency by controlling the recirculated airflow in the system and reducing the amount of PM\({}_{2.5}\)-sized particles released into the environment.