中国医疗设备2024,Vol.39Issue(10) :62-67.DOI:10.3969/j.issn.1674-1633.2024.10.011

基于cMT-SVR人机服务器的智能护理监控系统设计

Design of Intelligent Nursing Monitoring System Based on cMT SVR Human Machine Server

李娜 赵东亮 陈皓宇
中国医疗设备2024,Vol.39Issue(10) :62-67.DOI:10.3969/j.issn.1674-1633.2024.10.011

基于cMT-SVR人机服务器的智能护理监控系统设计

Design of Intelligent Nursing Monitoring System Based on cMT SVR Human Machine Server

李娜 1赵东亮 1陈皓宇1
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作者信息

  • 1. 河南省洛阳正骨医院(河南省骨科医院)生物医学工程研究室,河南洛阳 471000
  • 折叠

摘要

目的 设计一种智能护理监控系统,用于对患者床位号、输液规格、余量、滴速和体温等护理信息的智能监测和控制.方法 通过液滴传感器、温度传感器、可编程逻辑控制器和人机界面等构成终端监测装置,实时监测患者输液和体温情况,通过cMT-SVR人机服务器将各终端数据上传至cMT Viewer云平台,实现护士站云端集中监控.结果 系统监测滴速与人工实测滴速的最大误差为2滴/min,平均误差为0.77滴/min;系统监测体温与人工实测体温的最大误差为0.2℃,平均误差为0.1℃;余量低于下限、输液中断和体温异常的报警准确率均为100%.结论 本设计实现了智能输液监测和体温监控的功能,报警准确,具有一定的应用和推广价值.

Abstract

Objective To design an intelligent nursing monitoring system to monitor and control nursing information such as patient bed number,infusion specification,margin,drip rate and body temperature.Methods A terminal monitoring device was constructed through liquid drop sensor,temperature sensor,programmable logic controller and man-machine interface to monitor patients'infusion and body temperature in real time.The terminal data was uploaded to the cMT Viewer cloud platform through the cMT-SVR human machine server to realized cloud centralized monitoring of the nurse station.Results The maximum error between the system monitoring drip rate and the manually measured drip rate was 2 drops/min,and the average error was 0.77 drops/min;The maximum error between the system monitoring body temperature and the manually measured body temperature was 0.2℃,and the average error was 0.1 ℃;The accuracy of alarms for residual volume below the lower limit,infusion interruption,and abnormal body temperature were 100%.Conclusion The design realizes the functions of intelligent infusion monitoring and body temperature monitoring,with accurate alarms,which has certain application and popularization value.

关键词

智能护理/输液监测/体温监测/云端监控/监控系统/人机服务器/智慧病房

Key words

intelligent nursing/transfusion monitoring/temperature monitoring/cloud monitoring/monitoring system/human machine server/smart ward

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出版年

2024
中国医疗设备
中国整形美容协会

中国医疗设备

CSTPCD
影响因子:0.825
ISSN:1674-1633
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