摘要
针对慢性病患者长期管理中对生理指标与环境因素同步监测的需求,设计了一种基于LoRa Mesh的智慧医疗测量系统。系统采用RadioHead协议栈实现自组织的多跳Mesh通信,部署于医院内分泌科住院部,结合环境感知与患者健康监测,节点通过LoRa模块传输数据至中央网关,并接入云端服务器进行存储与可视化。通过扩展仿真平台LoRaMeshSim,模拟了74个节点分布在18间病房与公共区域的场景,测试不同数据包长度与发送速率条件下的系统性能。实验结果显示,在数据发送速率为1包/h时,系统数据投递率高于99.5%;当发送速率升至26包/h时,投递率下降至约83.2%。同时,数据包长度增加导致信号冲突次数上升,150 bytes数据包的平均冲突次数比30 bytes增加了约2.1倍。研究分析表明,系统在中低数据负载下具有良好的稳定性与扩展性,而在高负载条件下,信号冲突和节点收发冲突成为主要性能瓶颈。提出未来可通过自适应扩频因子与智能路由算法进一步提升系统稳定性与能效。此外,在实验室环境中搭建了小规模LoRa Mesh网络进行实测验证,确认了系统在实际场景下的可用性与通信稳定性。
A smart medical measurement system based on LoRa Mesh was designed to address the need for synchronized monitoring of physiological parameters and environmental factors in chronic disease management.The system employs the RadioHead protocol stack to achieve self-organized multi-hop mesh communication and is deployed within an endocrinology ward,integrating environmental sensing with patient health monitoring.Data from wearable terminals and environmental nodes are transmitted via LoRa modules to a central gateway and uploaded to a cloud server for storage and visualization.By extending the LoRaMeshSim simulation platform,the system was tested in a hospital scenario with 74 nodes distributed across 18 rooms and corridors,under varying payload lengths(30,90,and 150 bytes)and transmission rates(1 to 26 packets per hour).Simulation results showed that the delivery rate remained above 99.5% when the packet generation rate was 1 packet per hour,but dropped to approximately 83.2% at 26 packets per hour.Moreover,increasing the packet length significantly elevated collision occurrences,with 150-byte packets encountering approximately 2.1 times more collisions than 30-byte packets.The analysis demonstrates that the proposed system maintains good stability and scalability under moderate to low data loads,while signal collisions and transceiver contention become critical challenges at higher loads.Future work will focus on introducing adaptive spreading factor adjustments and intelligent routing algorithms to further enhance the system’s reliability and energy efficiency.In addition,a small-scale LoRa Mesh network was physically deployed in a laboratory setting to experimentally validate the system’s communication reliability and practical applicability.
作者
梁欢
简明
刘娟
刘莹
许彦洁
刘桠
Liang Huan;Jian Ming;Liu Juan;Liu Ying;Xu Yanjie;Liu Ya(Sichuan Provincial Hospital of Traditional Chinese Medicine,Chengdu 610031,China;Nuclear Power Institute of China Chengdu Zhonghe Haichuan Nuclear Technology Co.,Ltd.,Chengdu 610041,China)
出处
《电子测量与仪器学报》
北大核心
2025年第6期154-164,共11页
Journal of Electronic Measurement and Instrumentation
基金
四川省科技计划(2024YFFK0085)项目资助。
作者简介
梁欢,四川省中医院/成都中医药大学附属医院内分泌科病区责任组长,科室总带教。长期指导成都中医药大学本科生毕业论文设计,参与多项四川省中医院院级课题,主要研究方向为对糖尿病患者的护理与监测。E-mail:593798109@qq.com;通信作者:刘桠,博士,副主任医师。2010年博士毕业于成都中医药大学中医内科。现任四川省医学会公质踪松专委会青年委员会委员。主持国家自然科学基金、四川省中医管理局课题、成都市医学会青年孵育基金、成都中医药大学各级课题,参与研项目国家级、厅局级课题,发表科研论文三十余篇。主要研究方向为中医药防治内分泌代谢性疾病的基础与临床研究。E-mail:Liuyaya918@163.com。
