摘要
为了提高移动护理静脉输液设备故障监测能力,提出基于小波包能量特征的移动护理静脉输液设备故障监测方法。构建移动护理静脉输液设备故障采集模型,采用传感器分节点集合方法提取移动护理静脉输液设备故障信息特征量,对提取的移动护理静脉输液设备故障样本信息实现小波能量信息融合,采用功率波动的幅频特性分析方法,对提取的移动护理静脉输液设备小波包能量故障进行特征分解,根据故障属性类别判断,实现移动护理静脉输液设备的故障监测。仿真测试得出,该方法进行移动护理静脉输液设备故障监测的准确性较高,提高了故障提取和诊断识别能力。
In order to improve the fault monitoring ability of mobile nursing intravenous infusion equipment, a fault monitoring method of mobile nursing intravenous infusion equipment based on wavelet packet energy characteristics was proposed.The fault collection model of mobile nursing intravenous infusion equipment was constructed.The fault information feature of mobile nursing intravenous infusion equipment was extracted by sensor sub node aggregation method.Wavelet information fusion was realized for the extracted fault sample information of mobile nursing intravenous infusion equipment.The wavelet packet energy of extracted mobile nursing intravenous infusion equipment was analyzed by amplitude frequency characteristic analysis method of power wave According to the classification of fault attributes, the fault monitoring of mobile nursing intravenous infusion equipment was realized.The simulation test shows that the method has high accuracy in fault monitoring of mobile nursing intravenous infusion equipment, which improves the ability of fault extraction and diagnosis recognition.
作者
聂林
席丽娜
梁红
衡静
NIE Lin;XI Lina;LIANG Hong;HENG Jing(Suining Central Hospital,Suining Sichuan 629000,China)
出处
《自动化与仪器仪表》
2021年第5期36-39,共4页
Automation & Instrumentation
基金
四川省护理科研课题(No.NH18043)。
关键词
小波包能量特征
移动护理
静脉输液设备
故障监测
信息聚类
分类识别
wavelet packet energy characteristics
mobile nursing
intravenous infusion equipment
information clustering
classification and recognition
