% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@PHDTHESIS{Mersch:748566,
author = {Mersch, Tina},
othercontributors = {Epple, Ulrich and Schürr, Andy},
title = {{R}egelbasierte {M}odelltransformation in
prozessleittechnischen {L}aufzeitumgebungen},
volume = {1261},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Düsseldorf},
publisher = {VDI Verlag GmbH},
reportid = {RWTH-2018-229492, Reihe 8 . Nr. 1261},
series = {Fortschritt-Berichte VDI : Reihe 8, Mess-, Steuerungs- und
Regelungstechnik},
pages = {1 Online-Ressource (VIII, 152 Seiten) : Illustrationen},
year = {2018},
note = {Auch veröffentlicht auf dem Publikationsserver der RWTH
Aachen University; Dissertation, RWTH Aachen University,
2017},
abstract = {A survey of 1800 members of the German engineering
association VDMA [Sch12] showed that $61\%$ of development
and design engineers surveyed don’t feel up to the
challenges in the development of new machines and equipment.
More than one half of the respondents expect that the
development of efficient, powerful and flexible machines
will become even more complex in future. In addition, they
predict that users and operators will become less qualified.
This concurrence of increasing complexity and decreasing
knowledge demands new methods in the engineering of plants.
Anne Schneller, author of the VDI article about the survey,
suggests that automation technology has to progress toward
"parameterization instead implementation" to cope with these
challenges. The work at hand aims to contribute to make this
paradigma applicable for complex automation functions. The
approach presented in this work takes advantage of the
strong correlation between different models of plants. It
uses model transformation as the basis of a system-neutral
development of automation functions. Those automation
functions can be parametrized with the plant specific
planning data without further coding costs. The knowledge
about the model correlations is stored once as rules,
available for a large set of plants. The method of
rule-based model transformation has its roots in computer
science, where the approaches already developed achieved
significant results in the model worlds created for them.
Despite of many years of progress in the field of model
transformation, automation technology presents special
challenges for adoption. In particular, semiformal model
descriptions and the variances in modelling as well as
multiple source models make the use of standard methods
impossible. Not only are the high demands of computer
science on formalization and the fit of the participating
models a hurdle in merging the two disciplines but the
conservative attitude of automation technology brings
particular challenges with it as well. One requirement for
the acceptance of these approaches in automation technology
is the smooth integration of the concepts in the application
domain without ignoring the domain experts. The concept
presented realizes one of the most promising approaches from
computer science and integrates it seamlessly into
automation programming. With this approach the installation
technician can combine model transformation and standard
programming in accordance with his purposes.},
cin = {526610 / 520000},
ddc = {620},
cid = {$I:(DE-82)526610_20140620$ / $I:(DE-82)520000_20140620$},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)29 / PUB:(DE-HGF)3},
doi = {10.18154/RWTH-2018-229492},
url = {https://publications.rwth-aachen.de/record/748566},
}
guest ::