The mechanical ventilation of human body is a complex human-computer interaction process. High flow nasal cannula oxygen therapy (HFNC) is a new type of ventilation, which is often measured by lung pressure, respiratory work, and other parameters. The purpose of this paper is to analyse the pressure, flow, and strain rate of upper respiratory tract with different flow and oxygen concentration by using finite element simulation, to guide professionals to adjust the appropriate flow and oxygen concentration parameters of HFNC machine. This paper studies the complex human-computer interaction environment of human respiratory tract and ventilation airflow. The 3D model of respiratory tract established by the conversion of image scanning data was taken as the research object. The flow state of the gases in the respiratory tract was judged by Reynolds equation. After that, RNG K-ε model was applied to the research object, and the simulation diagram of airway pressure, flow rate, strain rate, and trace diagram of flowing particles were obtained under the finite element method. The results explain some clinical phenomena in HFNC and guide people to make better use of mathematical tools to study human-computer complex environment.

中文翻译：

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成人高流量鼻导管吸氧治疗的流场分析

人体机械通气是一个复杂的人机交互过程。高流量鼻导管氧疗 (HFNC) 是一种新型通气方式，通常通过肺压、呼吸做功和其他参数进行测量。本文旨在通过有限元模拟分析不同流量和氧气浓度下上呼吸道的压力、流量和应变率，指导专业人士调整合适的HFNC机流量和氧气浓度参数。本文研究了人体呼吸道和通风气流的复杂人机交互环境。以图像扫描数据转换建立的呼吸道3D模型为研究对象。呼吸道内气体的流动状态由雷诺方程判断。之后，RNG K-将ε模型应用于研究对象，在有限元方法下得到气道压力、流速、应变率的模拟图以及流动颗粒的迹线图。结果解释了HFNC中的一些临床现象，指导人们更好地利用数学工具研究人机复杂环境。