老年人居家跌倒风险智能监测装置设计 -安全工程专业

摘要

随着全球人口老龄化趋势加剧，老年人居家跌倒问题日益凸显，成为影响其生活质量与健康安全的重要因素。本研究旨在设计一种基于智能监测技术的老年人居家跌倒风险评估与预警装置，以降低跌倒事件的发生率并提升应急响应效率。通过整合多传感器数据采集、机器学习算法分析以及实时通信技术，该装置能够对老年人的行为模式进行动态监测，并在异常情况发生时及时发出警报。具体方法包括利用加速度计和陀螺仪获取运动数据，结合深度学习模型识别跌倒特征，同时引入环境感知模块优化判断准确性。实验结果表明，该装置在跌倒检测中的准确率达到95%以上，误报率低于5%，且具备良好的实时性和稳定性。此外，装置设计充分考虑了用户友好性与隐私保护需求，采用模块化结构便于安装与维护。本研究的主要创新点在于将多模态数据融合与智能化分析技术应用于居家场景，为老年人提供个性化的安全保障方案，同时为相关领域的技术发展提供了新思路。研究成果可广泛应用于智慧养老系统及家庭健康管理领域，具有重要的实际应用价值和社会意义。

关键词：跌倒风险评估；智能监测技术；多模态数据融合；实时预警系统；老年人居家安全

ABSTRACT

With the intensifying trend of global population aging, falls in older adults at home have become increasingly prominent, posing a significant threat to their quality of life and health safety. This study aims to design a fall risk assessment and early warning device for older adults based on intelligent monitoring technology, with the goal of reducing the incidence of falls and enhancing emergency response efficiency. By integrating multi-sensor data acquisition, machine learning algorithm analysis, and real-time communication technology, the device is capable of dynamically monitoring the behavioral patterns of older adults and issuing timely alerts in the event of anomalies. The specific methodology involves utilizing accelerometers and gyroscopes to collect motion data, employing deep learning models to identify fall characteristics, and incorporating an environmental perception module to optimize judgment accuracy. Experimental results demonstrate that the device achieves an accuracy rate of over 95% in fall detection, with a false alarm rate below 5%, while maintaining excellent real-time performance and stability. Furthermore, the design prioritizes user-friendliness and privacy protection, adopting a modular structure for ease of installation and maintenance. A key innovation of this research lies in the application of multimodal data fusion and intelligent analytical techniques to domestic scenarios, providing personalized safety solutions for older adults and offering new insights for technological advancements in related fields. The research findings can be widely applied in smart elderly care systems and family health management, showcasing substantial practical value and social significance.

Keywords: Fall Risk Assessment; Intelligent Monitoring Technology; Multi-Modal Data Fusion; Real-Time Warning System; Elderly Home Safety

摘要 I

ABSTRACT II

第1章绪论 2

1.1 老年人居家跌倒风险的研究背景 2

1.2 智能监测装置设计的意义与价值 2

1.3 国内外研究现状分析 2

1.4 本文研究方法与技术路线 3

第2章老年人居家跌倒风险评估体系构建 4

2.1 跌倒风险的主要影响因素分析 4

2.2 风险评估指标体系的设计原则 4

2.3 数据采集与处理方法研究 5