江汉大学学报(自然科学版) ›› 2019, Vol. 47 ›› Issue (1): 46-51.doi: 10.16389/j.cnki.cn42-1737/n.2019.01.008

• 自动化控制 • 上一篇    下一篇

基于Internet 的便携式旋转机械在线监测系统

夏兴国,汪发亮   

  1. 马鞍山职业技术学院 电气工程系,安徽 马鞍山 243031
  • 出版日期:2019-02-28 发布日期:2019-02-25
  • 作者简介:夏兴国(1983—),男,副教授,硕士,研究方向:先进控制技术。
  • 基金资助:
    安徽省高校优秀青年人才支持计划重点项目(gxyqZD2018105);安徽省高校自然科学研究重点项目(KJ2018A0946)

Portable Online Monitoring System for Rotating Machinery Based on Internet

XIA Xingguo,WANG Faliang   

  1. Department of Electrical Engineering,Maanshan Technical College,Maanshan 243031,Anhui,China
  • Online:2019-02-28 Published:2019-02-25

摘要: 以中小型旋转机械为研究对象,设计了一种基于Internet的便携式在线状态监测系统。系统设计由本地和远程系统组成,本地系统监测的数据经参数整定后用LabVIEW 软件采集与处理,形成SQL Server 数据库管理系统,利用DataSocket 技术并采用B/S组网模式发布本地数据;远程用户根据需要可监测相应远程运行状态。同时,讨论了系统的网络安全和权限设置等问题。通过实验验证:该系统可实现八通道模拟快变信号、模拟慢变信号的1 s 巡采,并对故障通道显示光警、声警和弹出报警对话框,可以对故障通道进行存储和复位监测;能够实现即时库、小时库、日库、月库和故障库的数据存储和追忆,能够对故障数据和即时数据进行分析,实现远程即时监测、分析和交互。

关键词: 旋转机械, 状态监测, Internet, LabVIEW, SQL Server

Abstract: A portable online monitoring system based on Internet was designed for small and medium rotating machinery. The system design was made up of local and remote systems. The data monitored by the local system was collected and processed by LabVIEW software after parameter tuning,the SQL Server database management system was formed,the local data was released by DataSocket technology and B/S networking mode,the remote users could monitor the corresponding remote running state according to their needs. At the same time,it needed to consider network security and permissions settings. Through the experiment,it was proved that the system could realize fast change signal simulating and slow change signal simulating for one second with eight channels,and the fault channel was displayed by optical alarm,sound alarm and pop-up alarm dialog box,which could store and monitor the fault channel. It could realize the data storage and recall of the instant library,the hour library,the day library,the month library and the fault database,and could analyze fault data and real-time data to achieve remote real-time monitoring,analysis and interaction.

Key words: rotating machinery, state monitoring, Internet, LabVIEW, SQL Server

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