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基于使用差压和脉宽调制控制信号的电动空气净化呼吸器气流特性测量模型的呼吸状态估计——在开发面向公众的电动空气净化呼吸器以替代封锁措施的过程中

Estimation of Respiratory States Based on a Measurement Model of Airflow Characteristics in Powered Air-Purifying Respirators Using Differential Pressure and Pulse Width Modulation Control Signals-In the Development of a Public-Oriented Powered Air-Purifying Respirator as an Alternative to Lockdown Measures.

作者信息

Fujii Yusaku, Takita Akihiro, Hashimoto Seiji, Amagai Kenji

机构信息

School of Science and Technology, Gunma University, Kiryu 376-8515, Gunma, Japan.

出版信息

Sensors (Basel). 2025 May 7;25(9):2939. doi: 10.3390/s25092939.

Abstract

Fluid dynamics modeling was conducted for the supply unit of a Powered Air-Purifying Respirator (PAPR) consisting of a nonwoven fabric filter and a pump, as well as for the exhaust filter (nonwoven fabric). The supply flow rate was modeled as a function of the differential pressure and the duty value of the PWM control under a constant pump voltage of = 12.0 [V]. In contrast, the exhaust flow rate was modeled solely as a function of . To simulate the pressurized hood compartment of the PAPR, a pressure buffer and a connected "respiratory airflow simulator" (a piston-cylinder mechanism) were developed. The supply unit and exhaust filter were connected to this pressure buffer, and simulated respiratory flow was introduced as an external disturbance flow. Under these conditions, it was demonstrated that the respiratory state-i.e., the expiratory state (flow from the simulator to the pressure buffer) and the inspiratory state (flow from the pressure buffer to the simulator)-can be estimated from the differential pressure , the pump voltage , and the PWM duty value , with respect to the disturbance flow generated by the respiratory airflow simulator. It was also confirmed that such respiratory state estimation remains valid even when the duty value of the pump is being actively modulated to control the internal pressure of the PAPR hood. Furthermore, based on the estimated respiratory states, a theoretical investigation was conducted on constant pressure control inside the PAPR and on the inverse pressure control aimed at supporting respiratory activity-namely, pressure control that assists breathing by depressurizing when expiratory motion is detected and pressurizing when inspiratory motion is detected. This study was conducted as part of a research and development project on public-oriented PAPR systems, which are being explored as alternatives to lockdown measures in response to airborne infectious diseases such as COVID-19. The present work specifically focused on improving the wearing comfort of the PAPR.

摘要

对由无纺布过滤器和泵组成的动力空气净化呼吸器(PAPR)的供气单元以及排气过滤器(无纺布)进行了流体动力学建模。在泵电压(V = 12.0) [V] 恒定的情况下,将供气流量建模为压差(\Delta p)和脉宽调制(PWM)控制的占空比值(d)的函数。相比之下,排气流量仅建模为(\Delta p)的函数。为了模拟PAPR的加压头罩隔室,开发了一个压力缓冲器和一个相连的“呼吸气流模拟器”(活塞 - 气缸机构)。供气单元和排气过滤器连接到这个压力缓冲器,并将模拟的呼吸气流作为外部干扰气流引入。在这些条件下,结果表明,相对于呼吸气流模拟器产生的干扰气流,可以根据压差(\Delta p)、泵电压(V)和PWM占空比值(d)来估计呼吸状态,即呼气状态(从模拟器流向压力缓冲器的气流)和吸气状态(从压力缓冲器流向模拟器的气流)。还证实,即使在主动调节泵的占空比值(d)以控制PAPR头罩内部压力时,这种呼吸状态估计仍然有效。此外,基于估计的呼吸状态,对PAPR内部的恒压控制以及旨在支持呼吸活动的反压控制进行了理论研究,即通过在检测到呼气动作时减压和在检测到吸气动作时增压来辅助呼吸的压力控制。本研究是面向公众的PAPR系统研发项目的一部分,该系统正被探索作为应对诸如COVID - 19等空气传播传染病的封锁措施的替代方案。目前的工作特别侧重于提高PAPR的佩戴舒适度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2be/12074313/2344a7d31674/sensors-25-02939-g001.jpg

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