Accident prevention by control system reconfiguration

Abstract The control system of a process plant, as other physical systems, can break up or fail to function satisfactorily, which means that control objectives are not achieved. In order to avoid the shut downs or accidents related to the control objectives unachieved, an analysis of both the process and control system must be performed. This paper introduces the use of functional modeling for control system reconfiguration. An extension of the Multilevel Flow Modeling (MFM) methodology is presented; this extension provides the functionality that analyzes the control system status as well as possible reconfigurations in a semiautomatic and consistent way, which means to enhance systems’ autonomy and robustness. In order to be able to have an integrated model an open, neutral, domain and platform independent language is needed. The Systems Modeling Language (SysML) complies with these requirements and can be applied to develop MFM models.

[1]  Manuel Rodríguez,et al.  Functional modeling for risk analysis , 2007 .

[2]  E. F. Vogel,et al.  A plant-wide industrial process control problem , 1993 .

[3]  Mohammad Modarres,et al.  Function-centered modeling of engineering systems using the goal tree–success tree technique and functional primitives , 1999 .

[4]  Jan Larsson.  KNOWLEDGE ENGINEERING USING MULTILEVEL FLOW MODELS , 2000 .

[5]  Atoosa Jalashgar,et al.  Goal-oriented systems modelling: justification of the approach and overview of the methods , 1999 .

[6]  Yu-Shu Hu.  Evaluating system behavior through dynamic master logic diagram modeling , 1995 .

[7]  Morten Lind,et al.  Modeling goals and functions of complex industrial plants , 1994, Appl. Artif. Intell..

[8]  Sanford Friedenthal,et al.  A Practical Guide to SysML: The Systems Modeling Language , 2008 .

[9]  Thomas Alex Johnson,et al.  Integrating models and simulations of continuous dynamic system behavior into SysML , 2008 .

[10]  William L. Luyben,et al.  Plantwide Process Control , 1998 .

[11]  Morten Lind,et al.  Modeling Goals and Functions of Control and Safety Systems - theoretical foundations and extensions of MFM , 2005 .

[12]  Francis Eric Finch.  Automated fault diagnosis of chemical process plants using model-based reasoning , 1989 .

[13]  Colin Atkinson,et al.  Model-Driven Development: A Metamodeling Foundation , 2003, IEEE Softw..

[14]  Jan Eric Larsson,et al.  Diagnosis Based on Explicit Means-End Models , 1996, Artif. Intell..

[15]  Kurt E. Petersen,et al.  Plant functional modelling as a basis for assessing the impact of management on plant safety , 1999 .