基于RIA的压缩机远程监测及故障诊断系统

针对远程压缩机设备运行异常而得不到及时诊断维修的问题,采用基于富互联网应用程序(RIA)技术设计开发了压缩机远程监测及故障诊断系统。该系统采用基于Delphi开发环境的CBX解决方案构建了RIA软件平台,实现了基于Internet的远程访问;分析了系统平台的网络结构及CBX框架,以及CBX应用程序开发的要点,主要分析了系统实现的几项关键技术,包括基于神经网络的故障诊断专家系统、基于Matlab COM与delphi的混合编程、基于SDAC的数据库访问以及分析图谱的实现等。研究结果表明,通过基于RIA的压缩机远程监测及故障诊断系统,能够及时获取设备的运行状态,识别出故障模式,避免造成进一步的损失。该系统界面友好、功能丰富,具有一定的应用价值和借鉴意义。

RIA-based remote monitoring and fault diagnosis system for compressor

Aiming at the problem of lack of diagnosis and maintenance while remote compressor was abnormal, remote monitoring and the fault diagnosis system for compressor based on rich Internet application （RIA） was developed, CBX solutions based on delphi was used to build RIA software platform, remote access through internet was realized, relevant research on network structure and CBX framework was carried out, the main points of CBX application development were introduced, the key technologies of system were analyzed, including fault diagnosis expert system based on neural network, mixed programming based on Matlab COM, database access based on SDAC, analysis map implementation, etc.. The results indicate that, through remote monitoring and fault diagnosis system for compressor, the status of compressor can be accessed timely and the failure mode can be identified to avoid further damage, The system has rich function and friendly interface and has a good application value and significance.