The Frontiers of Society, Science and Technology, 2024, 6(12); doi: 10.25236/FSST.2024.061207.
Xin Ye
South China University of Technology (SCUT), Guangzhou, 510000, China
With the ongoing development of demand for elderly care and advancements in information technology, smart elderly care emerges as a crucial solution to address the challenges posed by an aging population. The integration of digital twin technology into smart elderly care can facilitate overcoming the technical bottlenecks associated with implementing elderly care services. This paper explores the synergy between digital twins and community-based elderly care service systems, examining the functional mechanisms of digital twins across various practical entities within these systems. A comprehensive system architecture is proposed structured around five levels: sensing layer, communication layer, data processing layer, application layer, and display layer. This framework aims to address critical pain points and difficulties inherent in traditional community elderly care service systems—such as limited resource allocation, inefficient demand matching, lack of precision in service delivery, and delayed monitoring—and offers innovative pathways for enhancing intelligent elderly care services through the utilization of digital twins.
Digital Twin; Community Aged Care; Smart Elderly Care; Elderly Care Service System
Xin Ye. Research on community elderly care service system based on digital twin. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 12: 40-46. https://doi.org/10.25236/FSST.2024.061207.
[1] The Ministry of Civil Affairs, the People's Republic of China, the National Office on Aging. The 2023 National Bulletin on the Development of undertakings for the Elderly. 2024-10-11.
[2] Zuo Meiyun. The meaning and mode of intelligent pension [J]. Social Work in China, 2018, (32): 26-27.
[3] Zhang Haomiao, Tan Hong. Innovative practice and optimization of smart community health and elderly care service—Based on the local experience of Chengdu city [J / OL]. Journal of Chengdu University (Social Science Edition), 1-16 [2024-11-12].
[4] Li Yun. Research on standardization and application exploration of digital twinning technology in smart city [J]. Information Technology and Standardization, 2021, (10): 13-19.
[5] Tao Fei, Liu Weiran, Zhang Meng, et al. Digital twin five-dimensional model and the top ten field applications [J]. Computer Integrated Manufacturing System, 2019,25 (01): 1-18.
[6] Zhang Jie, Qian Hong, Zhou Hongyuan. Exploring the application of digital twinning technology in the field of safety and health monitoring for the elderly in the community [J]. Chinese Journal of Medical Devices, 2019,43 (06): 410-413 + 421.
[7] Li Jiacai, Zhang Hao, Shen Yang, et al. Exploration of the application of the care system for cognitive disorder elderly based on digital twinning [J]. Digital Medicine in China, 2023, 18 (12): 64-67 + 79.
[8] Cheng Haolun. Research on the Design of Health Management Services Based on Digital Twins—A Case Study of Community Geriatric Health Management Services [D]. Beijing Institute of Printing Technology, 2022.
[9] Jia Guofeng. Research on the design of intelligent fire fighting cloud platform for pension institutions based on digital twin technology [J]. Scientific and technological Innovation and Productivity, 2024,45 (01): 135-137 + 141.
[10] Huang Liti, Zhao Chaorui, Sun Zhimin. Joint simulation method of digital twin model of elderly apartment building [J]. Henan Science, 2023,41 (03): 414-422.
[11] Guo Bin, Chen Gong, Zou Yunjin. Digital Twins drive the wisdom of community governance: reality pattern and path exploration [J]. Science and Technology Management Research, 2024,44 (08): 137-145.
[12] Huo Wenjing. Research on the practice path of social work participation in the resource integration of community elderly care services [D]. Northwest A & F University, 2023.