摘要
为提高化工设备状态监测能力,创建了一种基于无线传感器节点的化工设备状态监测模型。采用无线传感器组网的方法进行化工设备状态参数分析和特征提取,通过参数辨识和节点优化部署的方法,进行化工设备状态参数融合和节点轮换调度。提取化工设备状态的特征量,对采集的化工设备状态信息进行谱密度特征分析,根据无线传感节点采集到的化工设备状态信息谱密度特征差异性进行异常状态特征检测和分析,实现了化工设备状态监测和工况可靠性分析。仿真结果表明:该方法可靠性高,稳定性好,提高了化工设备的稳态工作能力。
To improve the ability of chemical equipment condition monitoring,a chemical equipment condition monitoring model based on wireless sensor nodes is proposed.Chemical equipment status parameter analysis and feature extraction are carried out by wireless sensor networking.Chemical equipment status parameter fusion and node rotation scheduling are undertaken by parameter identification and node optimal deployment,and feature quantities of chemical equipment status are extracted.Spectral density feature analysis is implimented on collected chemical equipment status information,and abnormal status feature detection and analysis are conducted according to spectral density feature difference of chemical equipment status information collected by wireless sensor nodes,thus realizing chemical equipment status monitoring and working condition reliability analysis.The simulation results show that the improved method has high reliability and good stability,which enhances the steady-state working ability of chemical equipment.
作者
崔金玉
CUI Jinyu(Yan′an Polytechnic College,Yan′an 716000,China)
出处
《机械制造与自动化》
2021年第4期190-192,211,共4页
Machine Building & Automation
关键词
无线传感器节点
化工设备
状态
监测
工况特征
wireless sensor node
chemical equipment
status
monitoring
working condition characteristics