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基于CORBA的TE过程仿真器实现 被引量:2

Implementation of TE Process Simulator Based on CORBA
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摘要 TE过程(Tennessee Eastman process)是对一个化工过程的真实模拟,它被广泛用于过程控制研究。它的设计目的是对基于EastmanChemical的化工过程的各种故障的模拟。然而,原有的用Fortran写成的模拟器不利于与其他应用、软件的数据共享。该文用c++Builder重新编写了TE过程仿真器,使用CORBA技术实现数据共享。仿真器界面友好、功能齐全,为研究过程工程任务的人员提供良好的基础平台。 TE process is a realistic simulation of a chemical process that has been widely used in process control studies. It was designed to simulate a wide variety of faults occurring in a chemical plant based on a facility at Eastman chemical . However, it is not convenient for the original simulator (Fortran coded) to share the data with all other applications. This paper rewrites TE process simulator with Borland C++BuilderTM. CORBA technology is applied to share its data. The simulator has user-friendly interfaces. It provides a well basic platform for process system engineering researchers .
出处 《计算机工程》 CAS CSCD 北大核心 2003年第19期60-62,共3页 Computer Engineering
基金 国家自然科学基金项目(29976015) 国家杰出青年基金项目(20225620) "973"项目(G20000263) 教育部跨世纪人才基金项目
关键词 TE过程 过程仿真 CORBA TE process Process simulation CORBA.
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参考文献10

  • 1[1]Downs J J, Vogel F F. A Plant-wide Industrial Process Control Problem. Computer and Chemical Engineering, 1993, 17(3): 245-255
  • 2[2]Ricker N L. Decentralized Control of the Tennessee Eastman Challenge Process. J. Proc. Cont., 1996, 6(4): 205-221
  • 3[3]McAvoy T J, Ye N, Gang C. Nonlinear Inferential Parallel Cascade Control. Ind. Eng. Chem. Res., 1996, 35:130-137
  • 4[4]Luyben L. Simple Regulatory Control of the Eastman Process. Ind.Eng. Chem. Res., 1996, 35:3280-3289
  • 5[5]Ricker N L, Lee J H. Nonlinear Modeling and State Estimation for the Tennessee Eastman Challenge Process. Comp, Chem. Eng., 1995, 19(9): 983-1005
  • 6[6]Chen G, Mcavoy T J. Predictive On-line Monitoring of Continuous Processes. Journal of Process Control, 1998, 8(5~6): 409-420
  • 7[7]Russell E L, Chiang H L, Braatz R D. Fault Detection in Industrial Processes Using Canonical Variate Analysis and Dynamic Principal Component Analysis. Chemometics and Intelligent Laboratory Systems,2000, 51: 81-93
  • 8[8]Kano M, Nagao K, Hasebe S, et al. Comparison of Statistical Process Monitoring Methods: Application to the Eastman Challenge Problem.Computers and Chemical Engineering 2000, 24:175-181
  • 9[9]Li X X, Qian Y, Wang J F, et al. Information Criterion for Determination Time Window Length of Dynamic PCA for Process Monitoring.ESCAPE-13, Lappeenranta, Fenland, 2003-06-01
  • 10[10]Li X X, Qian Y, Wang J F. Process Monitoring Based on Wavelet Packet Principal Component Analysis. ESCAPE-13, Lappeenranta,Fenland, 2003-06-01

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