[1]黄载全,吴凯,卢广文.基于物联网智能标签的高值医疗设备全局定位方法[J].中国医学物理学杂志,2021,38(9):1168-1171.[doi:10.3969/j.issn.1005-202X.2021.09.022]
 HUANG Zaiquan,WU Kai,et al.Global positioning of high-value medical equipments based on intelligent tags of Internet of things[J].Chinese Journal of Medical Physics,2021,38(9):1168-1171.[doi:10.3969/j.issn.1005-202X.2021.09.022]
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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()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
38卷
期数:
2021年第9期
页码:
1168-1171
栏目:
医学人工智能
出版日期:
2021-09-26

文章信息/Info

Title:
Global positioning of high-value medical equipments based on intelligent tags of Internet of things
文章编号:
1005-202X(2021)09-1168-04
作者:
黄载全13吴凯2卢广文1
1. 南方医科大学生物医学工程学院,广东广州,510515;2. 华南理工大学生物医学科学与工程学院,广东广州511442;3. 广州 医科大学附属第六医院/清远市人民医院,广东清远,511518
Author(s):
HUANG Zaiquan1 3 WU Kai2 LU Guangwen1
1. School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China 2. School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou 511442, China 3. the Sixth Affiliated Hospital of Guangzhou Medical University/Qingyuan Peoples Hospital, Qingyuan 511518, China
关键词:
物联网智能标签高值医疗设备全局定位
Keywords:
Internet of things intelligent tag high-value medical equipment global positioning
分类号:
R318;TP391
DOI:
10.3969/j.issn.1005-202X.2021.09.022
文献标志码:
A
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%.

相似文献/References:

[1]刘红,莫国民.基于物联网的医学院校实训基地管理中心设计[J].中国医学物理学杂志,2013,30(01):3950.[doi:10.3969/j.issn.1005-202X.2013.01.029]

备注/Memo

备注/Memo:
【收稿日期】2021-02-15 【基金项目】国家重点研发计划(2021YFC2009400, 2021YFC2009404) 【作者简介】黄载全,在读硕士,高级工程师,研究方向:智慧医疗与医 疗设备管理,E-mail: 35888208@qq.com 【通信作者】卢广文,博士,教授,研究方向:智慧医疗及仪器,E-mail: gwlu@smu.edu.cn
更新日期/Last Update: 2021-09-27