期刊文献+

基于WiFi的环境监测系统设计 被引量:27

WiFi based environment monitoring system design
下载PDF
导出
摘要 WiFi(Wireless Fidelity)技术具备传输速率高、传播距离远、覆盖范围广等特点,在无线局域网应用中得到了迅猛的发展。本文设计并实现了一种基于Wi-Fi技术的室内环境监测系统。基于Gainspan平台完成处理器模块,电源模块,传感器模块和无线通信通信模块的构建,准确获取温度,湿度,光照等传感器数据,节点与服务器建立连接并完成数据的无线传输,成功地实现了环境信息采集。服务器根据各节点无线信号强度RSSI实现节点的定位,同时以B/S的架构搭建WEB实时观测平台,通过通信网络实时接收传感数据,完成对监测区域内目标的监测、定位及其它相关的应用。结果显示,本文设计的环境监测系统性能稳定,数据准确,具有很好的实用价值和应用前景。 WiFi(Wireless Fidelity) technology has rapid development in wireless LAN applications with high transmission rate,far transmission distance,and covering a wide range of places.This paper has completed hardware and software design of a kind of WiFi technology based environment monitoring system.It completes processor module,power module,sensor module and wireless communication module design base on Gainspan platform.Access point can accurately get environment data,such as temperature,humidity,light data,establish connection with the server,and send environment data to sever wirelessly.Server can construct real-time monitoring web platform in B/S architecture,position each node based on RSSI data,meantime get environmental information by wireless network,complete real-time monitoring targets.Results show that this environmental monitoring system works stable and accurately,possesses good practical value and application prospect.
作者 李山 杨波
出处 《软件》 2011年第1期42-45,共4页 Software
关键词 WIFI 无线传感器网络 环境监测 uVelosity WiFi WSN Environment monitoring uVelosity
  • 相关文献

参考文献6

  • 1罗海勇,李锦涛,赵方,朱珍民,林权.温室无线测控网络信息采集分系统设计研究[J].微电子学与计算机,2007,24(10):1-4. 被引量:12
  • 2李善仓 张克旺.无线传感器网络原理与应用[J].机械工业出版社,.
  • 3金仁成,王艳辉,王立鼎,高英明.无线传感器网络节点硬件平台设计[J].传感器与微系统,2006,25(12):48-50. 被引量:19
  • 4Cameron Dean. Understanding the Prediction Gap in Multi-hop Location. Graduate Division of the University of California, Berkeley.2006.
  • 5GainSpan Corporation. GS 1010 Ultra Low-Power Wireless System-On-Chip Data Sheet. 2007.
  • 6GainSpan Corporation. GainSpan Bringing Low-Power Wi-Fi Networks to life Product Guide.2008.

二级参考文献12

  • 1安国民,徐世艳,赵化春.国外设施农业现状与发展趋势[J].现代化农业,2004(12):34-36. 被引量:59
  • 2李国华,田辉,崔鸿雁,沈树群.无线传感器网络中一种基于能量策略的路由算法[J].电子与信息学报,2006,28(1):168-171. 被引量:12
  • 3金仁成,朱连柱,于耀东,王艳辉,高英明.加速度传感器在汽车防盗系统中的应用研究[J].电子技术应用,2006,32(4):91-93. 被引量:7
  • 4Akyildiz I F,Weilian S,Cayirci E. A survey on sensor networks[J ]. IEEE Communications Magaz ne,2002,40 ( 8 ) : 102 - 114.
  • 5David Marsh, Richard Tynan, Autonomic wireless sensor networks[ J]. Engineering Applications of Artificial Intelligence.2004, 17:741 - 748.
  • 6TI. CC2420DBK User manual[ M]. USA :[ s. n. ] ,2004.5,17 -26.
  • 7MAXIM. MAX6666 Datasheet[ M]. USA:[ s. n. ] ,2005.1 - 12.
  • 8Akyildiz I F,Su W,Sankarasubramaniam Y,et al.A Survey on sensor networks[J].LEEE Communications Magazine,2002,40(8):102-114
  • 9Szewezyk R Mainwaring A,Anderson J.An analysis of a large scale habit monitoring application[C].BMtimore,MD,USA:SenSys,2004:214-226
  • 10network system for energy-efficient surveillance[J].ACM Transactions on Sensor Networks,2006(1):1-38

共引文献29

同被引文献166

引证文献27

二级引证文献106

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部