基于OPC的统计过程控制算法研究与软件开发

摘要

Data are collected through TE process and OPC communication simulation of industrial field.By principles of multivariable process control and the software realization method combining with the actual production process are researched,automatic monitoring software is developed to be suitable to inustrial field.In view of the quality control requirements and the analysis of the statistical process control,a specific realization method of multivariate SPC based on principal component analysis in the industrial control process quality monitoring is given.The TE process is operated in Simulink,and the generated history data are used as the modeling data.The generated real-time data are introduced into the application program and processed by OPC.The designed PCA DLL algorithm in Matlab is used to real-time draw SPC control chart,detect faults and pursue the cause of the problems.Finally,a typical chemical production process-TE process is used to make effective verification.%通过TE过程和OPC通信模拟工业现场采集数据,应用多变量统计过程控制原理及软件实现方法结合实际生产过程,开发出适用于工业现场的自动化监控软件.针对质量控制要求,给出基于主成分分析的多变量SPC在工业控制过程质量监控中的实现方法,在Simulink中运行TE过程,产生历史数据作为建模数据,产生实时数据并通过OPC将数据传入应用程序中处理,调用在Matlab中制作好的PCA DLL算法实时绘制SPC控制图并检测故障及追寻故障原因,并用典型化工生产过程—TE过程,做了有效验证.