基于物联网的无线体温监控校园传染病预警系统设计
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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,增加疾病扩散风险。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、准确地监测学生体温,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。
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.
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.
引文
[1] Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey[J]. Computer Networks, 2008, 52(12):2292-2330.
[2] 孙其博,刘杰,黎羴,等.物联网:概念、架构与关键技术研究综述[J].北京邮电大学学报, 2010, 33(3):1-9.
[3] 马祖长,孙怡宁,梅涛.无线传感器网络综述[J].通信学报, 2004, 25(4):114-124.
[4] Chalasani S, Conrad J M. A survey of energy harvesting sources for embedded systems[C]//Southeastcon,IEEE, 2008:442-447.
[5] 钱志鸿,王义君.面向物联网的无线传感器网络综述[J].电子与信息学报, 2013,35(1):215-227.
[6] Dohr A, Modre-Opsrian R, Drobics M, et al. The Internet of Things for Ambient Assisted Living[C]//Seventh International Conference on Information Technology: New Generations. IEEE, 2010:804-809.
[7] Atlam H F, Alenezi A, Alharthi A,et al. Integration of Cloud Computing with Internet of Things: Challenges and Open Issues[C]//IEEE International Conference on Internet of Things, 2017.
[8] Kim Y, Evans R G, Iversen W M. Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network[J].IEEE Transactions on Instrumentation & Measurement, 2008, 57(7):1379-1387.
[9] Chu H, Xie Z, Jiang H. Hybrid Intelligent Monitoring Network Based on Ad hoc and Wireless Sensor Networks [J].Information Technology Journal,2011, 10(4):1-53.
[10] Li P, Li J, Nie L, et al. Research and Application of ZigBee Protocol Stack[C]//International Conference on Measuring Technology and Mechatronics Automation, IEEE, 2010:1031-1034.
[11] 孙韬.基于ZigBee的温度/湿度无线传感器网络监控系统的设计与实现[D].国防科学技术大学, 2009.
[12] 陈华凌,陈岁生,张仁政.基于ZigBee无线传感器网络的水环境监测系统[J].仪表技术与传感器, 2012(1):71-73.
[13] 刘玉铭.基于ZigBee技术的人体生理信息传输系统的设计与实现[D].秦皇岛:燕山大学,2010:7-12.
[14] 刘文军,樊建席,李春胜,等.基于ZigBee无线传感器网络的智能交通系统设计[J].传感技术学报,2013(12): 1747-1751.
[2] 孙其博,刘杰,黎羴,等.物联网:概念、架构与关键技术研究综述[J].北京邮电大学学报, 2010, 33(3):1-9.
[3] 马祖长,孙怡宁,梅涛.无线传感器网络综述[J].通信学报, 2004, 25(4):114-124.
[4] Chalasani S, Conrad J M. A survey of energy harvesting sources for embedded systems[C]//Southeastcon,IEEE, 2008:442-447.
[5] 钱志鸿,王义君.面向物联网的无线传感器网络综述[J].电子与信息学报, 2013,35(1):215-227.
[6] Dohr A, Modre-Opsrian R, Drobics M, et al. The Internet of Things for Ambient Assisted Living[C]//Seventh International Conference on Information Technology: New Generations. IEEE, 2010:804-809.
[7] Atlam H F, Alenezi A, Alharthi A,et al. Integration of Cloud Computing with Internet of Things: Challenges and Open Issues[C]//IEEE International Conference on Internet of Things, 2017.
[8] Kim Y, Evans R G, Iversen W M. Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network[J].IEEE Transactions on Instrumentation & Measurement, 2008, 57(7):1379-1387.
[9] Chu H, Xie Z, Jiang H. Hybrid Intelligent Monitoring Network Based on Ad hoc and Wireless Sensor Networks [J].Information Technology Journal,2011, 10(4):1-53.
[10] Li P, Li J, Nie L, et al. Research and Application of ZigBee Protocol Stack[C]//International Conference on Measuring Technology and Mechatronics Automation, IEEE, 2010:1031-1034.
[11] 孙韬.基于ZigBee的温度/湿度无线传感器网络监控系统的设计与实现[D].国防科学技术大学, 2009.
[12] 陈华凌,陈岁生,张仁政.基于ZigBee无线传感器网络的水环境监测系统[J].仪表技术与传感器, 2012(1):71-73.
[13] 刘玉铭.基于ZigBee技术的人体生理信息传输系统的设计与实现[D].秦皇岛:燕山大学,2010:7-12.
[14] 刘文军,樊建席,李春胜,等.基于ZigBee无线传感器网络的智能交通系统设计[J].传感技术学报,2013(12): 1747-1751.
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