SCI和EI收录∣中国化工学会会刊

›› 2011, Vol. 19 ›› Issue (2): 308-315.

• PEOCESS SYSTEMS ENGINEERING • Previous Articles     Next Articles

Qualitative Algebra and Graph Theory Methods for Dynamic Trend Analysis of Continuous System

ZHANG Weihua1, WU Chongguang1, WANG Chunli2   

  1. 1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;
    2. State Key Laboratory of Chemical Safety and Control, Qingdao Safety Engineering Institute, SINOPEC, Qingdao 266071, China
  • Received:2010-06-04 Revised:2010-12-05 Online:2011-04-28 Published:2011-04-28
  • Supported by:
    Supported by the National High Technology Research and Development Program of China(2009AA04Z133)

Qualitative Algebra and Graph Theory Methods for Dynamic Trend Analysis of Continuous System

张卫华1, 吴重光1, 王春利2   

  1. 1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;
    2. State Key Laboratory of Chemical Safety and Control, Qingdao Safety Engineering Institute, SINOPEC, Qingdao 266071, China
  • 通讯作者: ZHANG Weihua,E-mail:zhangwh.qday@sinopec.com
  • 基金资助:
    Supported by the National High Technology Research and Development Program of China(2009AA04Z133)

Abstract: Qualitative algebraic equations are the basis of qualitative simulation,which are used to express the dynamic behavior of steady-state continuous processes.When the values and operation of qualitative variables are redefined,qualitative algebraic equations can be transformed into signed direct graphs,which are frequently used to predict the trend of dynamic changes.However,it is difficult to use traditional qualitative algebra methods based on artificial trial and error to solve a complex problem for dynamic trends.An important aspect of modern qualitative algebra is to model and characterize complex systems with the corresponding computeraided automatic reasoning.In this study,a qualitative affection equation based on multiple conditions is proposed,which enables the signed direct graphs to describe complex systems better and improves the fault diagnosis resolution.The application to an industrial case shows that the method performs well.

Key words: qualitative algebraic equations, signed directed graph, affection equation, multiple conditions, dynamic trend analysis

摘要: Qualitative algebraic equations are the basis of qualitative simulation,which are used to express the dynamic behavior of steady-state continuous processes.When the values and operation of qualitative variables are redefined,qualitative algebraic equations can be transformed into signed direct graphs,which are frequently used to predict the trend of dynamic changes.However,it is difficult to use traditional qualitative algebra methods based on artificial trial and error to solve a complex problem for dynamic trends.An important aspect of modern qualitative algebra is to model and characterize complex systems with the corresponding computeraided automatic reasoning.In this study,a qualitative affection equation based on multiple conditions is proposed,which enables the signed direct graphs to describe complex systems better and improves the fault diagnosis resolution.The application to an industrial case shows that the method performs well.

关键词: qualitative algebraic equations, signed directed graph, affection equation, multiple conditions, dynamic trend analysis