融合数字孪生模型和边缘计算框架的个人智能防疫产品设计研究

Research on the design of personal intelligent epidemic prevention products by integrating digital twin models and edge computing frameworks

在这个防疫产品概念模糊,同质化严重的时代。为了提升防疫产品的体验效果,满足民众的需求。研究在调研分析现有的防疫产品后,针对性地引入了数字孪生模型和边缘计算框架对监测数据进行分析和重新定义,最后提出了一款新型智能监测口罩。实验结果表明,研究设计的智能口罩血氧含量检测误差平均值约为0.4,心率误差平均值约为0.35。在对比测试中发现,佩戴该口罩的个体血氧含量和心率监测都趋于正常。相较于同类型的智能口罩,研究设计的新型智能口罩最大过滤效率可达97%,同时呼吸阻力在正常值以下,范围从80 Pa~260 Pa。使用三周后检测发现该智能口罩的最大磨损度仅为60%。电池剩余续航时间最多为40小时,舒适度可达65%。综合打分后,该新口罩的安全性平均分最高为8.5分。综上所述,此次研究为智能防疫产品的设计和研究提供了新的思路和方法。

In this era of blurred concepts and serious homogenization of anti-epidemic products.In order to improve the experience effect of epidemic prevention products and meet the needs of the public.After researching and analyzing the existing epidemic prevention products,the study purposefully introduces the digital twin model and edge computing framework to analyze and redefine the monitoring data,and finally proposes a new intelligent monitoring mask.The experimental results show that the average value of blood oxygen content detection error of the research-designed smart mask is about 0.4,and the average value of heart rate error is about 0.35.In the comparative test,it is found that the blood oxygen content and heart rate monitoring of individuals wearing the mask tend to be normalized.Compared to the same type of smart masks,the new smart mask designed by the study has a maximum filtration efficiency of 97%,while the respiratory resistance is below normal,ranging from 80-260 Pa.Tests after three weeks of use found the smart mask to have a maximum wear and tear of only 60%.The remaining battery life was retained at a maximum of 40 hours and comfort was still up to 65%.After the comprehensive scoring,the new mask has the highest average safety score of 8.5.In summary,this study provides new ideas and methods for the design and research of smart epidemic prevention products.