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作 者:戴红军 郭执章 王钰君 董从银[2] DAI Hong-jun;GUO Zhi-zhang;WANG Yun-jun;DONG Cong-yin(Shandong Provincial Hospital Affiliated to Shandong First Medical University,Jinan 250021 China;Shangdong Jianzhu University,Jinan 250000 China)
机构地区:[1]山东第一医科大学附属省立医院,山东济南250021 [2]山东建筑大学,山东济南250000
出 处:《自动化技术与应用》2024年第7期93-97,共5页Techniques of Automation and Applications
摘 要:为改进现有呼吸机对气压的控制精度,减小控制误差,提出基于模糊控制的呼吸机自动调压技术研究。首先根据呼吸机结构组成和工作原理构建数学模型。然后计算人体在呼吸过程中的肺活量、呼吸频率、气道压等生理参数,以此作为启动呼吸机调压技术的判断条件。最后将呼吸机工作状态和参数自动检测结果作为输入,代入到模糊控制器中,实现呼吸机的自动调压控制。实验结果表明:在所提方法的控制下,S型通气模式的平均压力调节误差为0.21 cm H_(2)O,S/T型通气模式的平均压力调节误差为0.16 cm H_(2)O,均低于0.5 cm H_(2)O,满足呼吸机的调压精度要求,具备良好的性能。In order to improve the air pressure control accuracy of the existing ventilator and reduce the control error,a research on the automatic pressure regulation technology of the ventilator based on fuzzy control is proposed.Firstly,a mathematical model is constructed according to the structural composition and working principle of the ventilator.Then,the physiological parameters such as vital capacity,respiratory rate,airway pressure,etc.of the human body during the breathing process are calculated,which are used as the judgment conditions for starting the pressure regulation technology of the ventilator.Finally,the working state of the ventilator and the results of automatic parameter detection are used as inputs,and are substituted into the fuzzy controller to realize the automatic pressure regulation control of the ventilator.The effectiveness of the proposed method is proved by experiments.The results show that,under the control of the proposed method,the average pressure adjustment error of S-type ventilation mode is 0.21 cmH_(2)O,and the average pressure adjustment error of S/T-type ventilation mode is 0.16 cmH_(2)O,all are lower than 0.5 cmH_(2)O,which meets the pressure regulation accuracy requirements of the ventilator and has good performance.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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