Title :
A Methodology for Multidisciplinary Modeling of Industrial Control Systems using UML
Author :
Estevez, E. ; Marcos, M. ; Sarachaga, I. ; Orive, D.
Author_Institution :
Univ. of the Basque Country, Bilbao
Abstract :
Industrial process measurement and control systems (IPMCS) are used in most of the industrial sectors to achieve production improvement, process optimization and time and cost reduction. Integration, reuse, flexibility and optimization are demanded to adapt to a rapidly changing and competitive market. Thus, a consolidation of modeling methodologies for achieving this goal is needed. In this paper, a multidisciplinary modelling of distributed IPMCS, as well as a modelling methodology are proposed. The model of the application consists of three related views that separate the functional aspects from the implementation issues (hardware and software). The complete model is constituted by the three different views as well as the relationship among them. The modelling methodology makes use of the unified modelling language (UML) and it guides a non-expert UML user through the steps needed to model the control application. To achieve this, a set of UML profiles, that characterize the different elements of each domain view, have been defined. A limited subset of UML diagrams are used to define the three domains as well as its relationships. To illustrate its use, the methodology is applied to an industrial application: the distributed control system of a heat treatment line.
Keywords :
Unified Modeling Language; control system CAD; distributed control; heat treatment; process control; programmable controllers; UML diagram; competitive market; cost reduction; distributed industrial control system; industrial process measurement; multidisciplinary modeling methodology; process optimization; production improvement; programmable logic controller; Application software; Control systems; Cost function; Electrical equipment industry; Hardware; Industrial control; Process control; Production systems; Time measurement; Unified modeling language;
Conference_Titel :
Industrial Informatics, 2007 5th IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-0851-1
Electronic_ISBN :
1935-4576
DOI :
10.1109/INDIN.2007.4384751