基于CiteSpace的粤港澳大湾区养老智能家居设计趋势研究

李昱伶, 刘树老

包装工程(设计栏目) ›› 2025, Vol. 46 ›› Issue (18) : 59-74.

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PDF(3734 KB)
包装工程(设计栏目) ›› 2025, Vol. 46 ›› Issue (18) : 59-74. DOI: 10.19554/j.cnki.1001-3563.2025.18.006
工业设计

基于CiteSpace的粤港澳大湾区养老智能家居设计趋势研究

  • 李昱伶, 刘树老*
作者信息 +

Design of Smart Elderly Care Home in Guangdong-Hong Kong-Macao Greater Bay Area based on CiteSpace

  • LI Yuling, LIU Shulao*
Author information +
文章历史 +

摘要

目的 随着我国人口老龄化程度日益加深,粤港澳大湾区智能家居产业已成为新经济业态的重要支撑,相关设计与实践研究也成为当前热点课题,基于此,通过文献综述确定当前我国粤港澳大湾区的养老智能家居研究现状,旨在为该领域的设计工作指明未来发展方向。方法 以中国知网、万方、维普三大核心数据库作为数据来源,运用CiteSpace科学知识图谱可视化分析方法,从发文量、研究领域、关键词聚类、共现时区及发展突现强度等维度,梳理养老智能家居的历史发展脉络与核心研究内容;结合关键词热点聚类结果,进一步关联粤港澳大湾区养老服务产业政策机制、智慧养老实践及养老服务 “湾区标准”,最终确定该区域养老智能家居的设计趋势。结果 通过关键词聚类与共现时区的描述性分析,提炼出大湾区智能家居研究的四大聚类群组、三大发展阶段以及核心研究热点,明确老年群体作为的当前热点研究对象,构建“人、情、场、机”四位一体的智能家居系统框架。结论 我国养老智能家居研究起步较晚,目前仍处于发展初期,研究主体以高校为主,跨机构合作较为薄弱;聚焦于智能家居的用户体验研究、信息技术研究、体系架构研究;提出粤港澳大湾区养老智能化家居四大未来发展趋势,为我国养老智能家居领域的研究与实践提供参考,也为该区域养老智能家居的设计工作提供具体借鉴。

Abstract

As China's population continues to age, the development of smart home technology in the Guangdong-Hong Kong-Macao Greater Bay Area has emerged as a vital pillar of the new economy and a prominent research topic in smart home design and practice. The work aims to identify the current state of research on smart elderly care home solutions in the Greater Bay Area through literature review, thereby guiding future directions in smart home design. With three core databases, China National Knowledge Infrastructure (CNKI), Wanfang, and VIP, as data sources, a CiteSpace scientific knowledge map visualization analysis was conducted to reveal the historical development trajectory and research content of smart elderly care homes through metrics such as publication volume, research domains, keyword clustering, co-occurrence zones, and emergence intensity. By integrating keyword hotspot clustering and cluster analysis, alongside the industrial policy mechanisms for elderly care services in the Greater Bay Area, smart elderly care, and the "Bay Area Standards" for elderly care services, to determine the current design trends for smart elderly care homes in the Guangdong-Hong Kong-Macao Greater Bay Area. Through descriptive analysis of keyword clustering and co-occurrence time zones, four major research clusters, three developmental stages, and key research hotspots in smart home studies within the Greater Bay Area were identified. The elderly population emerged as the primary focus of current research. A smart home system architecture integrating four developmental directions, "human, emotion, environment, and machine", was proposed. In conclusion, China's development of smart elderly care homes is relatively recent and remains in its infancy, primarily led by universities with limited inter-institutional collaboration. Current research focuses on user experience, information technology, and system architecture. This study proposes four future development trends for smart elderly care homes in the Greater Bay Area, aiming to inform future research and practice in China's smart elderly care home sector, particularly guiding design efforts within the Greater Bay Area.

关键词

CiteSpace知识图谱 / 文献计量分析 / 粤港澳大湾区 / 养老智能家居 / 趋势研究

Key words

CiteSpace knowledge map / biliometric analysis / Guangdong-Hong Kong-Macao Greater Bay Area / smart elderly care home / trend research

引用本文

导出引用1
李昱伶, 刘树老. 基于CiteSpace的粤港澳大湾区养老智能家居设计趋势研究[J]. 包装工程. 2025, 46(18): 59-74 https://doi.org/10.19554/j.cnki.1001-3563.2025.18.006
LI Yuling, LIU Shulao. Design of Smart Elderly Care Home in Guangdong-Hong Kong-Macao Greater Bay Area based on CiteSpace[J]. Packaging Engineering. 2025, 46(18): 59-74 https://doi.org/10.19554/j.cnki.1001-3563.2025.18.006
中图分类号: TB472   

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广东省哲学社会科学规划2024年度一般项目(GD24CYS)

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