数字孪生技术在社区老年人安全健康监测领域的应用探究

Application and Research of Digital Twin Technology in Safety and Health Monitoring of the Elderly in Community

该文通过数字孪生技术研究,并结合视觉传感器、人工智能芯片和深度学习算法等技术,研发了基于数字孪生技术的老年人跌倒、姿态异常等实时监测报警系统。该系统通过采集老年人姿态和行为数据,经人工智能芯片计算分析后,在云端数字映射虚拟呈现。一旦偏离安全阈值,即可启动报警,以避免或减轻老人跌倒所造成的损伤。该技术通过产品验证和上海市虹口区天宝养老院的试运行,可设定不同时间不同区域的报警阈值,达到产品预设用途。

In this paper,through the research of digital twin technology,combined with the application of vision sensor,artificial intelligence chip and deep learning algorithm technology,the real-time monitoring and alarm system of elderly fall and abnormal posture based on digital twin technology is developed.The system collects the data of the posture and behavior of the elderly,and then presents them in the cloud by digital mapping after the calculation and analysis of artificial intelligence chip.Once the safety threshold is deviated,the alarm can be activated to avoid or mitigate the injury caused by the fall of the elderly.Through product validation and trial operation of Tianbao Nursing Home in Hongkou District of Shanghai,the user can set alarm thresholds in different time periods and regions,thus achieving the preset purpose of the product.