基于传感技术的室内监护系统设计
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摘要
针对养老院老人的室内监护,分析了传感技术的优点和应用场合,采用成熟的ZigBee技术构建无线传感器网络,来获取老人在室内定位的信息。选取性能可靠的传感器模块采集卧室内环境值,最终结合用G语言编写的上位机,设计了一种基于传感技术的老人监护系统。系统中的协调器将从终端设备获取的接收信号强度指示(RSSI)值传输至STM32开发板上并通过改进算法处理。传感器模块采集并处理的环境值也传输至开发板,开发板将数据通过Wi Fi模块和路由器上传至上位机。实验表明:设计的系统可实现老人部分室内的生活信息在上位机准确显示,并可控制下位机以改善室内环境,起到一定看护作用。
In view of indoor monitoring of the elderly in nursing homes,analyze on advantages and applications of sensor technology,and use the ZigBee technology to construct wireless sensor networks( WSNs) to gain the information of the indoor localization of the elderly. Selecting some reliable sensor modules to collect the values of the bedroom environment,and combined with upper personal computer( PC) compiled with G language,an elderly monitoring system based on sensing technology is designed. The coordinator in the system transmits the received signal strength indication( RSSI) value acquired from the terminal device to the STM32 development board,and processed through an improved algorithm. The environmental parameter values collected and processed by the sensor modules are transmitted to the development board,too. The development board uploads the data to the upper PC through the Wi Fi module and router. Experiments show that the system can display part of the life information of the elderly on the upper PC,and the upper PC can control the lower PC to improve the indoor environment. This system plays a certain role in elderly nursing.
In view of indoor monitoring of the elderly in nursing homes,analyze on advantages and applications of sensor technology,and use the ZigBee technology to construct wireless sensor networks( WSNs) to gain the information of the indoor localization of the elderly. Selecting some reliable sensor modules to collect the values of the bedroom environment,and combined with upper personal computer( PC) compiled with G language,an elderly monitoring system based on sensing technology is designed. The coordinator in the system transmits the received signal strength indication( RSSI) value acquired from the terminal device to the STM32 development board,and processed through an improved algorithm. The environmental parameter values collected and processed by the sensor modules are transmitted to the development board,too. The development board uploads the data to the upper PC through the Wi Fi module and router. Experiments show that the system can display part of the life information of the elderly on the upper PC,and the upper PC can control the lower PC to improve the indoor environment. This system plays a certain role in elderly nursing.
引文
[1]朱勇.智能养老[M].北京:社会科学文献出版社,2014.
[2]李信然.基于可穿戴设备的室内自主定位技术研究[D].北京:北京邮电大学,2016.
[3]陈树成,杨志勇,王科.基于MG811探头的二氧化碳采集系统设计[J].单片机与嵌入式系统应用,2014,14(1):47-50.
[4]周达.独居老人无线监护系统的设计研究[J].数字技术与应用,2016(10):154-154.
[5]蓝威涛,张卫强,罗健宇.一种自适应智能三边定位算法的设计与实现[J].传感技术学报,2017,30(7):1089-1094.
[6]谷广,游峰.基于接收信号强度指示的改进质心定位算法[J].传感器与微系统,2018,37(2):147-149,153.
[7]张小娟,苏娟.基于Zig Bee的智能粮仓监测系统设计[J].传感器与微系统,2017,36(5):109-112.
[8]史艳红,叶杨.基于Wi Fi和LabVIEW技术的无线数据传输与监测设计[J].物联网技术,2017,7(6):10-11,16.
[9] Laksono P W,Jauhari W A,Iftadi I et al. A system based on fuzzy logic approach to control humidity and temperature in fungus cultivation[C]∥Proceedings of the Joint International Conference on Electric Vehicular Technology and Industrial,Mechanical,Electrical and Chemical Engineering(ICEVT&IMECE),Surakarta,2015:344-347.
[10]陶佳峰,杨晓洪,王剑平,等.基于RSSI的室内测距模型优化技术[J].传感器与微系统,2017,36(1):24-26,30.
[2]李信然.基于可穿戴设备的室内自主定位技术研究[D].北京:北京邮电大学,2016.
[3]陈树成,杨志勇,王科.基于MG811探头的二氧化碳采集系统设计[J].单片机与嵌入式系统应用,2014,14(1):47-50.
[4]周达.独居老人无线监护系统的设计研究[J].数字技术与应用,2016(10):154-154.
[5]蓝威涛,张卫强,罗健宇.一种自适应智能三边定位算法的设计与实现[J].传感技术学报,2017,30(7):1089-1094.
[6]谷广,游峰.基于接收信号强度指示的改进质心定位算法[J].传感器与微系统,2018,37(2):147-149,153.
[7]张小娟,苏娟.基于Zig Bee的智能粮仓监测系统设计[J].传感器与微系统,2017,36(5):109-112.
[8]史艳红,叶杨.基于Wi Fi和LabVIEW技术的无线数据传输与监测设计[J].物联网技术,2017,7(6):10-11,16.
[9] Laksono P W,Jauhari W A,Iftadi I et al. A system based on fuzzy logic approach to control humidity and temperature in fungus cultivation[C]∥Proceedings of the Joint International Conference on Electric Vehicular Technology and Industrial,Mechanical,Electrical and Chemical Engineering(ICEVT&IMECE),Surakarta,2015:344-347.
[10]陶佳峰,杨晓洪,王剑平,等.基于RSSI的室内测距模型优化技术[J].传感器与微系统,2017,36(1):24-26,30.