基于物联网的紫外线消毒系统智能设计  

Intelligent design of UV disinfection system based on Internet of Things

作　　者：黄海燕 姚锦江 HUANG Haiyan;YAO Jinjiang(Guangzhou City University of Technology,Guangzhou 510800,China)

机构地区：[1]广州城市理工学院,广州510800

出　　处：《自动化与仪器仪表》2024年第1期141-145,共5页Automation & Instrumentation

基　　金：广东省普通高校特色创新项目《网络物理云计算中物联网面向服务定义虚拟子网技术研究》(CQ190007)。

摘　　要：随着科技的发展,人们对消毒的需求也越来越高,其中,紫外线因其较高的消毒价值而被广泛应用。但紫外线具有成本较高、设备连接较复杂等缺点,为了解决这些问题。研究以物联网为基础,提出了一种基于物联网的紫外线消毒系统智能模型,首先对紫外线消毒系统进行优化,然后构建智能模型,最后在医院中进行实验。结果表明,在聚类准确率的测试中Iris、Wine、Ecoli和Yeast4种函数的准确率均超过97%;消毒效果的监测率也都在95%以上,这说明模型方法具有很高的准确性。再利用召回率和F1值判断模型的优越性,模型方法比传统方法的召回率和F1分别高出7.95%、8.1%,这说明模型方法具有很高的稳定性。研究为未来紫外线消毒系统的发展提供参考和借鉴。With the development of science and technology,people’s demand for disinfection is getting higher and higher,among which,UV is widely used because of its high disinfection value.However,UV has disadvantages such as higher cost and more complicated equipment connection,in order to solve these problems.The study proposes an intelligent model of UV disinfection system based on the Internet of Things(IoT),first optimizing the UV disinfection system,then constructing the intelligent model,and finally conducting experiments in hospitals.The results show that the accuracy of the four functions Iris,Wine,Ecoli and Yeast in the test of clustering accuracy are all over 97%;the monitoring rate of disinfection effect is also all over 95%,which shows that the model method has high accuracy.Then,using the recall and F1 values to judge the superiority of the model,the recall and F1 of the model method were 7.95%and 8.1%higher than those of the traditional method,which indicates that the model method has high stability.The study provides reference and reference for the future development of UV disinfection system.

关 键 词：物联网 紫外线 智能设计 消毒系统 

分 类 号：TN92[电子电信—通信与信息系统]