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基于物联网和移动终端的老人健康检测系统
Elderly Health Detection System Based on Internet of Things and Mobile Terminals

DOI: 10.12677/SEA.2023.121018, PP. 174-184

Keywords: 物联网,移动手机终端APP,智能健康监护,数据可追溯
Internet of Things
, Mobile Phone Terminal APP, Intelligent Health Monitoring, Data Traceability

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Abstract:

设计与实现了一套基于物联网和移动终端的老年人健康监测系统。本系统采用层次化的结构总体设计,第一层为传感层,用于数据的采集,主要测量用药情况、体温以及心率;第二层为主控层,采用单片机作为主控芯片,将传感层采集到的数据进行处理和分析,判断老人健康状态,包括异常报警、本地显示、语音识别、GSM一键通话、供电电路;第三层为网络层,用于将采集数据上传至ONENET平台搭建的服务器端,实现数据的存储与可追溯;第四层为终端层,利用Android studio开发,基于MQTT和OkHttp协议实现数据采集端、服务器端和APP端的连通,实现远程移动实时检测。经过测试,该系统能准点提醒老人吃药,判断老人服药情况并检测老人体温状况,当系统检测到老人心率数据异常、体温异常或用药异常时报警,并自动拨号紧急联系人。老人还可通过语音识别方式实现一键拨打紧急联系人电话。
The paper designs and implements a set of health monitoring system for the elderly based on Internet of Things and mobile terminals. The system adopts a hierarchical structure overall design, the first layer is the sensing layer, which is used for data collection, mainly measuring medication, body temperature and heart rate; the second layer is the main control layer, using a single-chip microcomputer as the main control chip, processing and analyzing the data collected by the sensing layer to determine the health status of the elderly, including abnormal alarm, local display, voice recognition, GSM one-key call, power supply circuit; the third layer is the network layer, which is used to upload the collected data to the server built by the ONENET platform to realize data storage and traceability. The fourth layer is the terminal layer, developed by Android studio, based on MQTT and OkHttp protocols to realize the connection of data collection, server and APP, and realize remote mobile real-time detection. After testing, the system can remind the elderly to take medicine on time and judge the elderly taking medicine and detect the temperature status of the elderly, when the system detects the abnormal heart rate data of the elderly, abnormal body temperature or abnormal medication, buzzer alarm, and automatically dials emergency contacts. The elderly can also use voice recognition to make one-click calls to emergency contacts.

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