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大型机组远程监测与故障诊断系统的研究与开发

Design and Realization of Remote Monitoring and Fault Diagnosis System for Large Machinery

【作者】 张剑

【导师】 宋希庚;

【作者基本信息】 大连理工大学 , 动力机械及工程, 2004, 硕士

【摘要】 故障监测与诊断系统的开发是一门跨学科、跨研究领域的综合技术。包括了传感器技术、数据采集技术、信号分析与数据处理技术以及数据库、网络信息传输等计算机相关学科技术。一个完善的故障诊断系统可以有效的将故障机理、监测分析、趋势预测等理论应用于现场机组的生产之中。从而避免故障灾害的发生,提高生产的安全性以及生产效率,对国民生产具有现实的指导意义。 本论文从实践出发,首先提出了一套Intranet下旋转机械监测与故障诊断系统的开发方案。整套系统实现了数据采集、现场监测、信号分析、故障诊断以及网络通讯等多项功能。系统在Visual C++环境下,将Socket网络编程,多线程、数据库、MATLAB数学函数库接口以及DAQ高速实时采样技术融于一体,实现了系统高速的开发模式以及稳定、高效的工作性能。其中,采用NI-DAQ开发的数据采集系统,采样率达到了1.5MHz,充分发挥了采样卡的性能;利用MATLAB数学库的扩展功能,可靠、快捷的实现了十几种信号分析技术,为故障诊断提供了有利的依据;将多线程与Socket网络编程相结合,实现了服务器、客户端之间监测数据的实时传输,历史及趋势数据的下载、分析,从而将整个企业的监测机组、车间、办公室连成一体,达到了统一管理、远程诊断、监测的目的;整套系统后台采用数据库统一管理,利用Microsoft Jet引擎,提供了众多的智能化管理手段;同时,系统还提供了完备的报表、帮助系统,增加了系统的交互性,使用的方便性。目前整套系统已在锦州石化旋转机组中投入监测运行,具有工程实际应用价值。 论文第二部分以下一代网络体系核心技术Web Service为基础,通过与现有远程诊断系统的分析、比较,提出了一组构建远程故障诊断中心的思想。将远程组件服务、诊断服务、Web Service组件服务以及样本库构建等远程监测、诊断要求集成为远程诊断中心的主体构架。并利用.NET平台下C#语言、ASRNET、ADO.NET以及OWC、Crystal Reports组件工具具体描述了该远程故障诊断中心实现方案。论文对整个远程诊断服务中心进行了整体框架结构的设计,并对其中关键技术的实现细节,举例进行了详细的说明。 论文最后对整部方案的开发、运行性能进行了总结。提出了利用Web服务,构建诊断系统接口服务,从而在网络环境下将当前流行的客户机、服务器模式的诊断系统与新兴的B/S诊断系统统一起来,实现整个广域范围内的故障诊断资源的共享,联合工作,提高故障诊断的整体效益与可靠性。

【Abstract】 The development of online monitoring and fault diagnosis system is an integrated technology involved in different subject and domain. Some technologies cooperated with diagnosis are included, such as sensor, data collection, signal analysis, data processing, database, and net transmission. A perfect fault diagnosis system should be joined with the technology of fault theory, monitoring and trend anticipation and so on. With these efforts, we can reduce the accidents, improve the work efficiency and contribute more to the nation.An online monitoring and fault diagnosis system based on Intranet was introduced in the paper. This system realized real-time data acquisition, online monitoring, the signal processing and fault diagnosis with the aid of computers. VC++, the Socket net programming, multithreading, database, MATLAB API interface and DAQ in-time data collection system were combined as a whole. Among the above, the data collection system developed with NI-DAQ can work at a frequency of 1.5MHz, and the data collection card is in full use. By using the expended function of MATLAB API, more than 10 kind of signal analysis technology have been realized. The server and client can transmit data in-time by the program of multithreading and Socket net programming, so the whole enterprise can get data anywhere, anytime, and easy to be managed. At the same time, the report and FAQ are provided in order to make the system more convenient to use. At present, the system has been successfully applied to a refinery.Compared with current remote faulty diagnosis system, the kernel technology of next generation network frame, web service, is proposed to construct the remote faulty diagnosis center. The design of the remote faulty diagnosis center is realized by C# language, ASP.NET, ADO.NET technology and OWC, Crystal Reports tools under .NET platform. The frame of remote faulty diagnosis center is shown in this paper and some critical technology details are shown in the form of example.At the end of the paper, the development and running performance of the whole design were summarized. The idea of building a diagnosis system with the use of web is shown in the paper. So we can unite the popular C/S diagnosis system with the new coming B/S diagnosis system, realize the fault diagnosis system in large area and improve the efficiency and reliability of the diagnosis.

【关键词】 远程诊断C/SB/S数据采集信号分析数据库Web Service.NET
【Key words】 remote diagnoseC/SB/Sdata collectionsignal analysisdatabaseWeb Service.NET
  • 【分类号】TP277
  • 【被引频次】3
  • 【下载频次】251
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