摘要
当前,传统的家庭养老模式已难以满足老龄化所带来的日益突出的人力、医疗资源等方面的需求。因此,该文提出一种以居家为基础、社区为依托的社区养老系统方案,该系统分为人体穿戴设备和社区服务终端两大部分。穿戴设备通过微机电系统(Micro-Electro Mechanical System)传感器IMU901和MAX30102等模块采集生命体征数据,经接口电路传输至微控制器STM32进行处理。微控制器STM32利用GSM技术实现自动报警功能,并通过Zigbee技术将生命体征数据和求助信息传输至社区服务终端。社区服务终端使用Java语言开发,采用前端与后端分离的模式,设计求助事件分级处理系统,有效缓解社区工作人员人手短缺的情况。在数据处理时,使用Mahony四元数解算姿态算法,弥补了欧拉角算法中易产生万向节死锁的缺点。经实验测试,本系统判断准确性高、可靠性强、响应速度快,达到预期效果。
At present,the traditional family pension model has been difficult to meet the increasingly prominent needs of human and medical resources brought by aging.Therefore,this paper proposes a home-based and community-based community elderly care system scheme,which is divided into two parts:human wearable devices and community service terminals.The wearable device collects vital signs data through modules such as Micro-Electro Mechanical System sensors IMU901 and MAX30102,and transmits it to the microcontroller STM32 for processing through the interface circuit.The microcontroller STM32 uses GSM technology to realize automatic alarm function,and transmits vital signs data and help information to the community service terminal through Zigbee technology.Community service terminal uses Java language development,adopts the model of front-end and back-end separation,designs the hierarchical processing system of help event,effectively alleviates the shortage of community staff.In the data processing,Mahony quaternion is used to solve the attitude algorithm,which makes up the disadvantage of the Euler Angle algorithm which is easy to produce universal-joint deadlock.The experiment shows that the system has high accuracy,strong reliability and fast response,and achieves the expected effect.
作者
刘子琪
王芳
曾显
邹丽萍
LIU Ziqi;WANG Fang;ZENG Xian;ZOU Liping(Jianghan University,Hubei Wuhan 430056,China)
出处
《工业仪表与自动化装置》
2024年第1期34-37,46,共5页
Industrial Instrumentation & Automation
关键词
社区养老
智慧养老
跌倒监测
数据融合
ZIGBEE
community elderly care
intelligent elderly care
fall monitoring
data fusion
Zigbee
