Interactive Visual Analysis of Multiple Simulation Runs using the Simulation Model View:
Understanding and Tuning of an Electronic Unit Injector
Kresimir Matkovic, Denis Gracanin, Mario Jelovic,
Andreas Ammer, Alan Lez, Helwig Hauser
ARTICLE,
IEEE Transactions on Visualization and Computer Graphics,
2010
AbstractMultiple simulation runs using the same simulation model with
different values of control parameters usually generate large data sets that
capture the variational aspects of the behavior of the modeled and simulated
phenomenon. We have identified a conceptual and visual gap between the simulation
model behavior and the data set that makes data analysis more difficult than
necessary. We propose a simulation model view that helps to bridge that gap by
visually combining the simulation model description and the generated data.
The simulation model view provides a visual outline of the simulation process and
the corresponding simulation model. The view is integrated in a
Coordinated Multiple Views (CMV) system. We use three levels of details to
efficiently use the display area provided by the simulation model view. We
collaborated with a domain expert and used the simulation model view on a problem
in the automotive application domain, i.e., meeting the emission requirements for
Diesel engines. One of the key components is a fuel injector unit so our goal was
to understand and tune an electronic unit injector (EUI). We were mainly
interested in understanding the model and how to tune it for three different
operation modes: low emission, low consumption, and high power. Very positive
feedback from the domain expert shows that the use of the simulation model view
and the corresponding analysis procedures within a CMV system amount to an
effective technique for interactive visual analysis of multiple simulation runs.
We also developed new analysis procedures based on these results.
Published
IEEE Transactions on Visualization and Computer Graphics
Media
BibTeX
@article{matkovic10modelView,
title = {Interactive Visual Analysis of Multiple Simulation Runs using the Simulation Model View:
Understanding and Tuning of an Electronic Unit Injector},
author = {Kresimir Matkovic and Denis Gracanin and Mario Jelovic and
Andreas Ammer and Alan Lez and Helwig Hauser},
journal = {IEEE Transactions on Visualization and Computer Graphics},
volume = {16},
number = {6},
pages = {1449--1457 },
year = {2010},
event = {IEEE Visualization 2010},
location = {Salt Lake City, US},
abstract = {Multiple simulation runs using the same simulation model with
different values of control parameters usually generate large data sets that
capture the variational aspects of the behavior of the modeled and simulated
phenomenon. We have identified a conceptual and visual gap between the simulation
model behavior and the data set that makes data analysis more difficult than
necessary. We propose a simulation model view that helps to bridge that gap by
visually combining the simulation model description and the generated data.
The simulation model view provides a visual outline of the simulation process and
the corresponding simulation model. The view is integrated in a
Coordinated Multiple Views (CMV) system. We use three levels of details to
efficiently use the display area provided by the simulation model view. We
collaborated with a domain expert and used the simulation model view on a problem
in the automotive application domain, i.e., meeting the emission requirements for
Diesel engines. One of the key components is a fuel injector unit so our goal was
to understand and tune an electronic unit injector (EUI). We were mainly
interested in understanding the model and how to tune it for three different
operation modes: low emission, low consumption, and high power. Very positive
feedback from the domain expert shows that the use of the simulation model view
and the corresponding analysis procedures within a CMV system amount to an
effective technique for interactive visual analysis of multiple simulation runs.
We also developed new analysis procedures based on these results.},
URL = {http://dx.doi.org/10.1109/TVCG.2010.171},
}
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