摘要
为了在新冠疫情的日常防控中准确有效地监测防控对象体温,开发了基于物联网的疫情防控监测系统。该系统采用ESP8266无线模块连接网络,并将数据存储至MySQL服务器,使用MQTT协议连接阿里云平台;开发Web应用服务平台,通过半封闭结构的监测装置和优化算法,实现了用户身份识别和体温监测,杜绝了他人代替检测等作弊方式的可能性。测试结果表明,系统的准确性和稳定性能满足设计需求。
In daily prevention and control of COVID-19,in order to accurately and effectively monitor the temperature of the monitored personnel,the epidemic prevention and control monitoring system is developed based on the internet of things technology.The system uses ESP8266 wireless module to connect the network,and then stores the body temperature data to the MySQL server connected Alibaba cloud platform through MQTT protocol.Finally,a web application system is developed.Through the monitoring device of semi closed structure and optimization algorithm,user identification and temperature monitoring are realized.Therefore,the possibility of test cheating by others is eliminated.Experimental results show that the accuracy and stability of the system meet the design requirements.
作者
申海洋
霍魁
王德喜
SHEN Haiyang;HUO Kui;WANG Dexi(School of Electronic Engineering,Chaohu University,Hefei 238024,China;School of Physics and Electronic Engineering,Shanxi University,Taiyuan 030000,China;Keda Intelligent Technology Co.Ltd.,Hefei 230094,China)
出处
《重庆科技学院学报（自然科学版）》
CAS
2022年第3期62-68,共7页
Journal of Chongqing University of Science and Technology：Natural Sciences Edition
基金
安徽省高等学校自然科学基金重点项目“基于非Markov过程与量子非线性效应的电路量子电动力学退相干问题研究”(KJ2020A0673)
安徽省自然科学基金项目“拓扑量子计算中Majorana零模态退相干研究”(2008085MA22)
合肥市软科学研究项目“信息技术在环巢湖旅游产业中的应用研究”(2015-13)。
关键词
物联网
疫情防控
体温监测
internet of things
epidemic prevention and control
temperature monitoring
