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基于物联网智能标签的高值医疗设备全局定位方法

Global positioning of high-value medical equipments based on intelligent tags of Internet of things

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【作者】 黄载全吴凯卢广文

【Author】 HUANG Zaiquan;WU Kai;LU Guangwen;School of Biomedical Engineering, Southern Medical University;the Sixth Affiliated Hospital of Guangzhou Medical University/Qingyuan People’s Hospital;School of Biomedical Sciences and Engineering, South China University of Technology;

【通讯作者】 卢广文;

【机构】 南方医科大学生物医学工程学院广州医科大学附属第六医院/清远市人民医院华南理工大学生物医学科学与工程学院

【摘要】 目的:针对现有的高值医疗设备的管理模型仅根据某一部门设备特性进行部署,从而导致其应用于全局部署时模型定位的准确性较差的问题,提出基于物联网智能标签的高值医疗设备全局定位方法。方法:将物联网新技术与RFID识别结合,通过识别设备全局定位的标签,提取标签定位数据的特征编码,然后对参数特征编码进行混合式组网控制,构建高值医疗设备全局定位的物联网节点部署模型,接着对设备物联网智能标签部署模型参数进行聚类和融合处理。结果和结论:采用该方法进行高值医疗设备全局定位的准确性较高,平均准确率为95%,提高了定位部署后的设备利用率,平均设备利用率为90%。

【Abstract】 Objective Aiming at the problem of the existing management model of high-value medical equipments deploys equipments only according to the equipment characteristics of a department, which leads to a low accuracy of model positioning when it is applied to global deployment, a method for the global positioning of high-value medical equipments based on the intelligent tags of Internet of things is proposed. Methods Internet of things was combined with RFID. By identifying the tags of the global positioning of the equipments, the feature codes of the tag positioning data were extracted, and then the parameter feature codes were used for hybrid networking control. After that the node deployment model of Internet of things for the global positioning of high-value medical equipments was constructed, the parameters of the intelligent tag deployment model of Internet of things were clustered and fused. Results and Conclusion The proposed method achieves a high accuracy of global positioning of highvalue medical equipments, with an average accuracy of 95%, which improves the equipment utilization rate after positioning and deployment, with an average equipment utilization rate of 90%.

【基金】 国家重点研发计划(2021YFC2009400,2021YFC2009404)
  • 【文献出处】 中国医学物理学杂志 ,Chinese Journal of Medical Physics , 编辑部邮箱 ,2021年09期
  • 【分类号】R197.32
  • 【被引频次】1
  • 【下载频次】99
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