|本期目录/Table of Contents|

[1]周小军,郭玉霞,王凌强,等.基于物联网的无线体温监控校园传染病预警系统设计[J].工业仪表与自动化装置,2019,(02):109-113.[doi:1000-0682(2019)02-0000-00]
　ZHOU Xiaojun,GUO Yuxia,WANG Lingqiang,et al.Design of campus infectious disease warning system based on Internet of things[J].Industrial Instrumentation & Automation,2019,(02):109-113.[doi:1000-0682(2019)02-0000-00]
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基于物联网的无线体温监控校园传染病预警系统设计

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2019年02期
页码:
109-113
栏目:
出版日期:
2019-04-15

文章信息/Info

Title:
Design of campus infectious disease warning system based on Internet of things
作者:
周小军1; 2; 郭玉霞1; 王凌强1; 谭 薇1
1.甘肃工业职业技术学院，甘肃 天水741025；2.四川大学 网络空间安全学院，成都 610207
Author(s):
ZHOU Xiaojun1; 2;  GUO Yuxia1;  WANG Lingqiang1;  TAN Wei1
1. Gansu Industry Polytechnic College, Gansu Tianshui 741025, China;2. College of Cybersecurity, Sichuan University, Chengdu 610207,China)
关键词:
无线传感网; ZigBee; 校园传染病; 预警系统
Keywords:
wireless sensor network;  ZigBee;  campus infectious disease;  early warning system
分类号:
TP212
DOI:
1000-0682(2019)02-0000-00
文献标志码:
A
摘要:
人群密度较大的校园是传染病爆发的高危区，而人体体温是确诊和判断疑似病例的最关键最直接的指标之一。传统测量都是基于人工方式，费时、费力，耽误最佳治疗时间,增加疾病扩散分险。该文在对校园传染病这一特定应用环境需求充分分析的基础上，提出了一种基于ZigBee协议的无线体温监控校园传染病预警系统架构，重点讨论了传感器体温数据采集、数据通信与传输子和数据监控中心子系统，同时对传感节点的部署进行了分析。当有大规模传染性疾病爆发时，该系统能实时、快速、准确的监测学生体温，并发送至远程信息控制中心来感知威胁等级和风险。省时、省力，同时降低人工测量时交叉感染风险概率，在提高快速应急响应的同时降低成本，有效控制了疫情传播风险
Abstract:
Campuses are high-risk areas for infectious diseases,and body temperature is one of the most critical and direct indicators for diagnosis and judgment of suspected cases.Traditional measurements are time-consuming and laborious,this delaying the best treatment time and increasing disease spread risk.Based on the full analysis of the application environment,based on ZigBee protocol the paper proposes a warning system framework with wireless temperature monitoring.This pwper mainly discussed four subsystem which is the data acquisition,data communication,data monitoring center and the deployment of sensor nodes.When there is a large-scale outbreak of diseases,the system can monitor the data in real time,then send it to the information control center.This can effectively controls the risk of epidemic transmission,saves time and reduces the cost and probability of cross infection risk.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2018-08-23
基金项目：甘肃省体育卫生与健康教育美育国防教育专项任务资助项目 (2017A-013)
作者简介：周小军(1982),男,甘肃天水人,中国电子学会会员,中国自动化学会会员,甘肃工业职业技术学院电信学院副教授师,四川大学网络空间安全专业在读博士生,研究方向为网络空间安全,机器学习。
更新日期/Last Update: 2019-04-15