基于物联网技术的老年人饮水状况监测系统设计  

Design of Monitoring System for Drinking Water Status of the Elderly Based on Internet of Things Technology

作　　者：刘露露 骆雯 李哲林 张峻铭 陈学东 LIU Lu-lu;LUO Wen;LI Zhe-lin;ZHANG Jun-ming;CHEN Xue-dong(School of Design,South China University of Technology,Guangzhou 510006,China;School of Mechanical andAutomotive Engineering,South China University of Technology,Guangzhou 510641,China;Shenzhen Taili HanhaoTechnology Co.,Ltd.,Shenzhen,Guangdong 518114,China)

机构地区：[1]华南理工大学设计学院,广东广州510006 [2]华南理工大学机械与汽车工程学院,广东广州510641 [3]深圳市泰立汉徳科技有限公司,广东深圳518114

出　　处：《机电工程技术》2019年第5期66-67,168,共3页Mechanical & Electrical Engineering Technology

摘　　要：为探究老年人身体健康和饮水状况之间的关系,提出基于机智云物联网和阿里云数据库技术的饮水状况智能检测系统设计。系统由智能杯垫硬件、手机APP程序和云端分析程序3个部分组成,智能杯垫硬件采集用户饮水数据、环境温度和湿度信息并传送到云数据库,移动电话APP程序可录入用户生理信息并传送到云数据库及查看分析结果,云端分析程序根据云数据库中用户数据和健康饮水原则建立个性化饮水建议。通过该饮水状况监测系统,可实现对用户饮水信息、身体状况的记录及提供饮水建议,可用于个人及医院对用户的身体状况、慢性疾病预防方面分析的参考。In order to explore the relationship between physical health and drinking habits of the elderly, the design of intelligent detection system for drinking water based on wit cloud Internet of Things and Alibaba Cloud database technology was proposed. The system consists of three parts: smart coaster hardware,mobile app program and cloud analysis program. The smart coaster hardware collects the user's drinking water data, the temperature and humidity information of the user's environment and transmits the cloud database. The mobile APP program can input the user's physiological information and transmit it. To the cloud database and view the analysis results, the cloud analysis program establishes personalized drinking water recommendations based on individual data and healthy drinking water principles in the cloud database. Through the drinking water condition monitoring system, the user's drinking water information, the physical condition record and the drinking water suggestion can be realized,and can be used for personal and hospital reference to the user's physical condition and chronic disease prevention.

关 键 词：老年人 饮水量 物联网 云数据库 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]