Abstract
The study of particle diffusion in negative pressure ward can lay a foundation for the application of pollutant diffusion in negative pressure ward based on Internet of things. A negative pressure ward models and droplet models are established, and the effect of droplets with different particle sizes in the negative pressure ward on indoor airflow is simulated. Computational fluid dynamics (CFD) was used to study the movement process, concentration distribution, surface adhesion, and suspension of droplets in the same negative pressure ward environment with particle diameters of 5, 20, 60, and 90 μm. The results show that: when the particle diameter is 5 and 20 μm, the movement and diffusion of the droplets are intense and the droplets mainly enters the exhaust outlet with the flow of air. When the particle diameter is 60 and 90 μm, the influence of gravity on the droplet is greater than that of the airflow in the room, so the diffusion is weak and the droplet particles are more adherent. It is mainly concentrated on the ground, the surface of the bed, and the patients. Weaker discharge effect was obtained when the droplets produced by patients are far away from the exhaust outlet.
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Kong, L., Li, Q., Liu, T., Gao, W., Zhang, M., Zhang, Y. (2021). CFD Analysis of Droplet Diffusion in Negative Pressure Ward. In: Jain, L.C., Kountchev, R., Tai, Y. (eds) 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 236. Springer, Singapore. https://doi.org/10.1007/978-981-16-3180-1_15
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DOI: https://doi.org/10.1007/978-981-16-3180-1_15
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