康养型住宅大数据分析与智能控制

Big Data Analysis and Intelligent Control of Health-care Housing

老年人固守传统观念,更倾向于居家养老模式。为解决居家养老问题,通过对老人需求与认知特点分析,结合数据挖掘与无线传感器网络等技术,在传统智能家居基础上设计更加适应老年人生活的康养型智能住宅。采集老年用户设备使用历史数据,利用改进的聚类算法提取数据特征,采用关联算法研究数据的相关性。分析数据的内在联系、规则与模式,建立老人日常生活行为分析与预测模型。相较于传统的居家养老模型,其为老年人提供了个性化和现代化的智能服务,提高了独居老人的安全性与舒适性。

Faced with the severe situation of aging population in China,how to provide for the aged properly has become an inevitable problem in social development.The elderly adhere to the traditional concept,and are more inclined to the home care model than institutional care.Based on the analysis of the needs and cognitive characteristics of the elderly,combined with data mining and analysis in big data and wireless sensor network technology,this paper designs the healthy smart home which is more suitable for the life of the elderly on the basis of traditional smart home.Based on the historical data collected from the elderly users,the improved clustering algorithm is used to extract the characteristics of the data,and the correlation algorithm is used to study the correlation of the data.This paper analyzes the internal relations,rules and patterns of data,so as to establish the behavior analysis and prediction model of the elderly's daily life.Compared with the traditional home-based care model,it provides personalized and modern intelligent services for the elderly,and improves the safety and comfort of the elderly living alone at home.