基于窄带物联网的智能输液系统设计  被引量:1

Design of intelligent infusion system based on NB-IoT

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作  者:杨春杰 田晓旭 梁耀 YANG Chunjie;TIAN Xiaoxu;LIANG Yao(School of Automation,Xi’an University of Posts and Telecommunications,Xi’an 710121,China;Research Institute of Logging Technology,China National Logging Corporation,Beijing 100200,China)

机构地区:[1]西安邮电大学自动化学院,陕西西安710121 [2]中国石油集团测井有限公司测井技术研究院,北京昌平102200

出  处:《西安邮电大学学报》2022年第5期98-104,共7页Journal of Xi’an University of Posts and Telecommunications

基  金:陕西省技术创新引导计划项目(2020CGXNG-011);陕西省教育厅服务地方专项项目(20JC0)。

摘  要:针对传统输液系统控制精度低、智能化管理程度不高及安全隐患大等问题,提出一种基于窄带物联网的智能输液系统。系统由输液终端、嵌入式网关和窄带物联网云平台组成。输液终端包括病理手环和输液仪,病理手环采用单片机、传感器和无线通信等技术实时监测患者体征信息,并把信息同步至输液仪,输液仪则采用创新式夹紧结构建立滴速控制模型,利用基于遗传算法比例积分微分(Proportion Integration Differentiation,PID)控制器精确控制滴速。同时,设计异常报警机制进行余量阶段性预警报警。嵌入式网关通过远距离无线通信网(Long Range,LoRa)接收各输液仪节点数据,并及时传送到本地护理站,经协议转换后通过窄带物联网(Narrow Band-Internet of Things,NB-IoT)将数据上传至物联网云平台,实现病理数据库的建立。实验结果表明,该系统运行稳定、控制精确,可智能化实时监控输液过程,有效地提升了输液的安全性。For the problems of low control precision,low intelligent management and high security risk of traditional infusion system,an intelligent infusion system based on narrowband Internet of things was proposed.The system consists of infusion terminal,embedded gateway and narrowband IoT cloud platform.The infusion terminal includes a pathological bracelet and an infusion apparatus.The pathological bracelet uses single chip microcomputer,sensor,wireless communication and other technologies to monitor the patient’s physical information in real time and synchronize the information to the infusion apparatus.The infusion instrument adopts an innovative clamping structure to establish the dropping speed control model.The genetic algorithm-based Proportion Integration Differentiation(PID)controller is used to accurately control the drip speed.At the same time,through the design of the abnormal alarm mechanism,the margin stage warning alarm is carried out,and the infusion is immediately interrupted when danger occurs.The embedded gateway receives the data of each infusion meter node through the Long Range(LoRa)wireless communication network and transmits it to the local care station in time.After protocol conversion,the data is uploaded to the IoT cloud platform through the Narrow Band-Internet of Things(NB-IoT)to establish a pathological database.Experiment results show that the system runs stably,controls accurately,can intelligently monitor the infusion process in real time,and can effectively improve the safety of infusion.

关 键 词:智能输液系统 窄带物联网 物联网云平台 滴速控制模型 遗传比例积分微分算法 

分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置] TH77[自动化与计算机技术—控制科学与工程]

 

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