汕头大学学报（自然科学版）

随着中国人口老龄化的不断加剧，独居老人的健康监护受到社会的广泛关注.本文提出了一种基于智能家居技术的独居老人健康监护系统，旨在帮助独居老年人应对机能退化以及独居生活带来的生理心理双重挑战.文章从独居老人的生理、心理和行为三种方面分析了独居老人的特征及需求，并据此提出了四大设计策略：适老化引导、无障碍操作、安全性保障及高容错性.该系统采用三层架构，包含感知层、网络层及应用与数据层，采用MongoDB和Redis复合型数据库来存储长期和短期数据，使用实时数据分析模块对数据流进行实时特征提取，并通过综合决策模块与API调用模块协同工作，以支持复杂事件的智能分析与响应.

With the increasing population aging of Chinese society, the health surveillance for the elderly people who live alone is widely concerned by society. This paper proposes an intelligent home-based health monitoring system designed to assist elderly individuals in coping with both the physiological and psychological challenges associated with aging and solitary living. The study analyzes the characteristics and needs of elderly individuals from three key dimensions—physiological, psychological, and behavioral—and accordingly formulates four core design strategies: age-friendly guidance, barrier-free operation, safety assurance, and high fault tolerance.The proposed system adopts a three-layer architecture consisting of the perception layer, network layer, and application and data layer. It integrates a hybrid database structure using MongoDB and Redis for long-term and short-term data storage, respectively, ensuring efficient data retrieval and processing. Additionally, a real-time data analysis module is employed for feature extraction from data streams, while a combination of a comprehensive decision-making module and an API invocation module facilitates intelligent analysis and response to complex events.