NDLI: A Methodology for Multidisciplinary Modeling of Industrial Control Systems using UML

Content Provider	IEEE Xplore Digital Library
Author	Estevez, E. Marcos, M. Sarachaga, I. Orive, D.
Copyright Year	2007
Description	Author affiliation: Univ. of the Basque Country, Bilbao (Estevez, E.; Marcos, M.; Sarachaga, I.; Orive, D.)
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.
Starting Page	171
Ending Page	176
File Size	674020
Page Count	6
File Format	PDF
ISBN	9781424408504
ISSN	19354576
DOI	10.1109/INDIN.2007.4384751
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-23
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production systems Industrial control Unified modeling language Process control Control systems Cost function Electrical equipment industry Time measurement Hardware Application software
Content Type	Text
Resource Type	Article

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