基于ZigBee的定位及体征监测系统的设计与实现
|
摘要
针对当前幼儿园儿童等特殊人群自我保护能力差,管理人员监管不及时的特点,以及目前市场上定位工具造价高的问题,基于RSSI(Received Signal strength Indicator)测距技术和ZigBee技术,设计开发了一套低成本的定位及体征监测系统。该系统的整体设计是基于CC2530高性能处理器以及LEA-6S这款GPS芯片,同时在PCB(Printed Circuit Board)集成了红外线温度传感器。采用ZigBee协议建立网络,以GPS与RSSI联合定位的形式对目标节点进行定位,通过服务器对配带定位装置的人群进行信息采集,最终通过Web端或手机移动端来查看信息。
In view of the poor self-protection ability of the high risk population like pre-school children,the belated management regulation,and the high cost of positioning tool,a set of low-cost monitoring system for the high risk population 's location and signs was designed based on RSSI(Received Signal strength Indicator)ranging technology and ZigBee technology. The overall design of the system is based on the high-performance processor CC2530 and the GPS chip LEA-6S,and the infrared temperature sensor is integrated in the PCB(Printed Circuit Board). The ZigBee protocol is adopted to establish the network. The location information is obtained by the combination of GPS and RSSI. Meanwhile,the server gathers the information from people who equipped with locating device. Finally,we can view the location and the physical sign information by the web client or mobile terminal.
In view of the poor self-protection ability of the high risk population like pre-school children,the belated management regulation,and the high cost of positioning tool,a set of low-cost monitoring system for the high risk population 's location and signs was designed based on RSSI(Received Signal strength Indicator)ranging technology and ZigBee technology. The overall design of the system is based on the high-performance processor CC2530 and the GPS chip LEA-6S,and the infrared temperature sensor is integrated in the PCB(Printed Circuit Board). The ZigBee protocol is adopted to establish the network. The location information is obtained by the combination of GPS and RSSI. Meanwhile,the server gathers the information from people who equipped with locating device. Finally,we can view the location and the physical sign information by the web client or mobile terminal.
引文
[1]徐登彩,周奇年,张振浩.基于RSSI测距算法改进的研究[J].工业控制计算机,2013(5):72-73,75.
[2]郑加强,徐幼林.精确林业传感技术和无线传感器网络研究进展[J].林业工程学报,2016,1(2):9-16.
[3]范燕,俞洋,李永义,等.基于ZigBee无线传感器网络的远程监控系统[J].实验室研究与探索,2016,35,239(1):80-84.
[4]张国杰,陈凯,颜志刚,等.基于无线传感器网络的水质监测系统研究[J].机电工程,2016,33(3):366-372.
[5]高金转,彭旭锋,张会新,等.基于ZigBee无线传感网络的环境监测系统的设计[J].电子器件,2016,39(3):546-550.
[6]严彩鹏,覃广志,邹大琴,等.基于ZIGBEE技术的智能调光系统[J].大众科技,2017,19(4):3-4.
[7]秦晓琴.无线传感器网络定位技术分析[J].电脑知识与技术,2016,12(19):42-43.
[8]高瑛珂,王琪,李泉泉,等.一种基于JTAG接口的片上调试与性能分析方法[J].微电子学与计算机,2012,29(7):68-71.
[9]孔亚广,邹洪波,赵晓东.应用于超声波声强测量的电路:,CN 103063293 A[P]. 2013.
[10]孙旭东,张跃.基于AD8232和MLX90615的心电与体温测量系统设计[J].传感器与微系统,2014,33(9):81-84.
[11]贾丽,孙骞,辛丽,等.无线传感器网络定位技术及典型系统[J].信息技术,2017(1):17-21.
[12]赵军,李鸿斌,王智.无线网络室内定位系统研究[J].信息与控制,2008(4):465-471.
[13]郝振霆,朱明辉.基于RSSI-LQI的混合测距算法的研究[J].工业控制计算机,2016,29(11):61-63.
[14]钱伟捷. RSSI测距原理研究[J].知识窗,2014,14:47.
[15]常祖政. MyEclipse+Dreamweaver搭建Java Web开发环境[J].电脑开发与应用,2013(9):68-70.
[16]Jiang N. Java Web application development course-MVC model based on AJAX and JSP+Servlet+JDBC[M]. 2012.
[2]郑加强,徐幼林.精确林业传感技术和无线传感器网络研究进展[J].林业工程学报,2016,1(2):9-16.
[3]范燕,俞洋,李永义,等.基于ZigBee无线传感器网络的远程监控系统[J].实验室研究与探索,2016,35,239(1):80-84.
[4]张国杰,陈凯,颜志刚,等.基于无线传感器网络的水质监测系统研究[J].机电工程,2016,33(3):366-372.
[5]高金转,彭旭锋,张会新,等.基于ZigBee无线传感网络的环境监测系统的设计[J].电子器件,2016,39(3):546-550.
[6]严彩鹏,覃广志,邹大琴,等.基于ZIGBEE技术的智能调光系统[J].大众科技,2017,19(4):3-4.
[7]秦晓琴.无线传感器网络定位技术分析[J].电脑知识与技术,2016,12(19):42-43.
[8]高瑛珂,王琪,李泉泉,等.一种基于JTAG接口的片上调试与性能分析方法[J].微电子学与计算机,2012,29(7):68-71.
[9]孔亚广,邹洪波,赵晓东.应用于超声波声强测量的电路:,CN 103063293 A[P]. 2013.
[10]孙旭东,张跃.基于AD8232和MLX90615的心电与体温测量系统设计[J].传感器与微系统,2014,33(9):81-84.
[11]贾丽,孙骞,辛丽,等.无线传感器网络定位技术及典型系统[J].信息技术,2017(1):17-21.
[12]赵军,李鸿斌,王智.无线网络室内定位系统研究[J].信息与控制,2008(4):465-471.
[13]郝振霆,朱明辉.基于RSSI-LQI的混合测距算法的研究[J].工业控制计算机,2016,29(11):61-63.
[14]钱伟捷. RSSI测距原理研究[J].知识窗,2014,14:47.
[15]常祖政. MyEclipse+Dreamweaver搭建Java Web开发环境[J].电脑开发与应用,2013(9):68-70.
[16]Jiang N. Java Web application development course-MVC model based on AJAX and JSP+Servlet+JDBC[M]. 2012.