Design of Intelligent Pension System Based on Zigbee Technology
In the context of the rapid development of information technology and network technology, the field of smart home is gaining widespread attention and is rapidly popularized in the world. Intelligent home system through the integration of computer technology, a variety of family life related intelligent equipment interlinked to form an efficient residential facilities and family affairs management system. In our country, the problem of population aging is becoming more and more serious, and the need of elderly people's home care is more and more urgent. Therefore, the development of a smart pension system based on ZigBee technology is not only a necessary measure to respond to the national healthy China strategy, but also an important means to promote the combination of smart families and home care. This system aims to improve the quality of life and happiness of the elderly, which has important theoretical and practical significance. According to the living habits and room layout of ordinary families, this paper puts forward four intelligent solutions. The system integrates a wealth of ZigBee smart devices as well as emergency keys and Kinect devices to ensure the safety of everyday life for seniors. The system treats each home as an independent user and manages smart devices within the home through user accounts. The data communication of the system strictly follows the uniform protocol rules to ensure its stability and reliability. Users can interact with the system through web pages, smart speakers and mobile terminals to realize diversified operations and enhance the smart elderly care experience. After rigorous testing, the system meets the needs of users in terms of function and performance, has high feasibility and good interactivity, can receive and display environmental data in real time, and supports voice control intelligent devices, simplifies the operation process, and significantly improves the home care experience of the elderly.
Authors
- Yaqiong Cao (ORCID: https://orcid.org/0009-0000-9796-2641)
- Kai Zhang (ORCID: https://orcid.org/0000-0002-9513-1462)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/icdacai65086.2024.00040
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00