The virtual production simulation platform: from collaborative distributed simulation to integrated visual analysis
Thomas Beer (),
Tobias Meisen (),
Rudolf Reinhard (),
Sergey Konovalov,
Daniel Schilberg (),
Torsten Kuhlen () and
Christian Bischof ()
Additional contact information
Thomas Beer: RWTH Aachen University, Virtual Reality Group, Rechen- und Kommunikationszentrum
Tobias Meisen: RWTH Aachen University, IMA/ZLW
Rudolf Reinhard: RWTH Aachen University, IMA/ZLW
Daniel Schilberg: RWTH Aachen University, IMA/ZLW
Torsten Kuhlen: RWTH Aachen University, Virtual Reality Group, Rechen- und Kommunikationszentrum
Christian Bischof: RWTH Aachen University, Institute for Scientific Computing
A chapter in Automation, Communication and Cybernetics in Science and Engineering 2011/2012, 2013, pp 1019-1033 from Springer
Abstract:
Abstract Computational simulations are used for the optimization of production processes in order to significantly reduce the need for costly experimental optimization approaches. Yet individual simulations can rarely describe more than a single production step. A set of simulations has to be coupled to each other to form a contiguous representation of a process chain. Eventually, simulated results have to be analyzed by domain experts to gather insight from the preformed computations. In this paper, we propose an IT infrastructure and software tools that aim at a rather non-intrusive way of coupling resources and domain expert's knowledge to enable the collaborative setup, execution and analysis of distributed simulation chains. We illustrate the approach in the domain of materials processing. Beyond means originating from the domain of GRID computing for resource management, a data integration component assures semantic data integrity between the simulation steps and stores simulation data in an application independent way. Thus, we can transform this data into native formats for each simulation tool, and finally into a format that allows for contiguous visualizations and an intuitive, comprehensive analysis of complete simulated process chains.
Keywords: Domain Expert; Simulation Platform; Data Translation; Simulation Chain; Very Large Data Base (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33389-7_74
Ordering information: This item can be ordered from
http://www.springer.com/9783642333897
DOI: 10.1007/978-3-642-33389-7_74
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().