摘要
由石化生产测量数据推理设备运行状态,可以提高设备故障预测和事故分析的能力。基于解析模型建立了石化设备的状态监测系统,提出了设计和运行模式下状态监测的具体构建方法。应用物料衡算、热量衡算、动量衡算和相平衡方程建立解析模型,选择欧拉法为模型算法,形成的石化设备模块可以系统、机理地分析设备内部运行状况。由SQL Server数据库获取石化装置在线操作数据,由解析模型预测设备内参数变化趋势,从而实现状态监测。状态监测分为设计和运行2种模式,前者给定解析模型输入数据和模型参数,后者显示设备状态。开发了石化装置状态监测系统软件,系统采用模块化思想进行构建。用VisualC++ 2005分别开发了模型运算模块、设计模式界面和运行模式界面,形成了独立的DLL库函数,可供系统主程序按照用户需要来调用。针对换热器等5类设备实现了具体设备的状态监测功能,结果表明该软件可以帮助操作人员分析设备内部状况,很好地起到了故障诊断的作用。
Induction of equipment condition through petroleum chemical local data can enhance their fault prediction and investigation performance. Condition monitoring system of petroleum chemical equipments are built based on analytical model with design and run patterns.The model, obtained via mass,heat and momentum balance and solved with Euler algorithm,can reflect inner condition of equipments systematically and datailedly.Retrieving on-line operating data from SQL Server,multivariate and nonlinear models of chemical units are used to realize condition monitoring function,where the change trend of equipment inner parameter is obtained after solving these models.The system is executed with design and run patterns,where the former provides input data and model parameters and the latter displays equipment condition.Condition monitoring software is developed with Visual C＋＋ 2005 programming language,and series of dll module including model calculation,design interface and run interface are formed.Its application result on heat exchanger etc.shows that it can facilitate fault diagnosis of chemical processes.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2010年第8期1005-1008,共4页
Computers and Applied Chemistry
基金
国家“863”项目(2009AA04Z133)
山东省自然科学基金(ZR2009BM033)
关键词
状态监测
解析模型
动态模拟
故障诊断
condition monitoring
analytical model
dynamic simulation
fault diagnosis
