| 摘要: |
| 针对传统老年监控护理系统功耗大、实时性差、数据传输效率低等问题，提出了一种基于低功耗广域网的智能无线传感器网络系统;系统中，通过依靠STM32处理器和传感器对环境与体征数据信息进行采集，然后利用LoRa技术将采集的数据通过SX1278模块发送至网关，再通过网关上传数据到云服务器;将处理后的数据通过云服务器显示给用户，实现实时监测社区老年人身体健康状况，利用节点通信自适应机制优化算法实现老人健康数据稳定传输，实现低功耗、低延时、高数据传输率的监测效果;总结出老年护理网络中数据发送与延时是非常敏感的，为提高数据传送速率（DTR），降低数据传输延时（DTD），提出了一种优化的网络流量自适应通信机制，以改进DTR与DTD等功能，在节点能耗、网络数据传输实时性等性能方面均得到提升，系统能够稳定检测老年人的相关体征健康状态。 |
| 关键词: 老年监控护理 低功耗 广域网 STM32处理器 通信自适应 健康监测 |
| DOI： |
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| Design of Portable Health Monitoring System Based on LoRa Technology |
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ZHANG Jin-run,HU Sen-rong,HONG Yan
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School of Electrical and Information Engineering， Anhui University of Science and Technology，Anhui Huainan 232001，China
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| Abstract: |
| Aiming at the problems of the traditional elderly monitoring and nursing system, such as high power consumption, poor real time performance and low data transmission efficiency, an intelligent wireless sensor network system based on low power wide area network is proposed. In this system, the environmental and physical data information is collected by relying on STM32 processor and sensor, and then LoRa technology is used to send the collected data to the gateway through SX1278 module, and then the data is uploaded to the cloud server through the gateway. Then, the processed data is displayed to users through the cloud server to realize real time monitoring of the physical health status of the elderly in the community. The node communication adaptive mechanism optimization algorithm is used to realize stable transmission of the health data of the elderly, so as to realize the monitoring effect of low power consumption, low delay and high data transmission rate. Summarizing aged care network data with time delay is very sensitive. In order to improve data transfer rate (DTR) and reduce the data transmission delay (DTD),this paper puts forward an optimized network traffic adaptive communication mechanism to improve the DTR and DTD. Other functions in the node energy consumption and network data transmission has been improved, and real time system can stably test the related signs of the elderly health. |
| Key words: elderly monitoring and nursing low power consumption wide area network STM32 processor communication adaptation health monitoring |
