In response to environmental pollution and the spread of Coronavirus Disease 2019 (COVID-19), this paper proposes a new type of smart mask design, and specifically proposes an optimized double closed-loop control method, especially an improved filtering fusion algorithm. Using the filtering fusion algorithm proposed in this paper, after the Kalman filter (KF) filters the raw data of the attitude sensor, explicit complementary filtering and data fusion are used to obtain the attitude angle of the body. At the same time, the obtained attitude angle is combined with acceleration and blood oxygen concentration to obtain the behaviour characteristic value. On this basis, the speed of the oxygen supply fan captured by the photoelectric sensor is used to form a closed loop with the characteristic value of the behaviour. Finally, the structure of the mask is upgraded and optimized through fluid mechanics simulation, and experiments have verified that the combination of the replaceable filter cloth, the intelligent control system and the ultraviolet disinfection device can effectively protect people's health.

中文翻译：

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基于KF和ECF融合算法的智能防疫口罩。


针对环境污染和2019冠状病毒病（COVID-19）的传播，本文提出了一种新型智能口罩设计，并具体提出了优化的双闭环控制方法，特别是改进的滤波融合算法。采用本文提出的滤波融合算法，对姿态传感器的原始数据进行卡尔曼滤波器（KF）滤波后，采用显式互补滤波和数据融合得到机体的姿态角。同时将获得的姿态角与加速度、血氧浓度相结合，得到行为特征值。在此基础上，利用光电传感器捕获的供氧风机转速与行为特征值形成闭环。最后，通过流体力学模拟对口罩结构进行升级优化，实验验证可更换滤布、智能控制系统和紫外线消毒装置的结合能够有效保护人们的健康。