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research-article

User-Guided Visual Analysis of Cyber-Physical Production Systems

[+] Author and Article Information
Tobias Post

Computer Graphics and HCI Group, University of Kaiserslautern
tpost@rhrk.uni-kl.de

Rebecca Ilsen

Institute for Manufacturing Technology and Production Systems, University of Kaiserslautern
rebecca.ilsen@mv.uni-kl.de

Bernd Hamann

Department of Computer Science, University of California (UC Davis)
hamann@cs.ucdavis.edu

Hans Hagen

Computer Graphics and HCI Group, University of Kaiserslautern
hagen@cs.uni-kl.de

Jan C. Aurich

Institute for Manufacturing Technology and Production Systems, University of Kaiserslautern
jan.aurich@mv.uni-kl.de

1Corresponding author.

ASME doi:10.1115/1.4034872 History: Received September 29, 2015; Revised September 18, 2016

Abstract

Modern cyber-physical production systems connect different elements like machine tools and workpieces. The constituent elements are often equipped with high-performance sensors as well as information and communication technology, enabling them to interact with each other. This leads to an increasing amount and complexity of data that requires better analysis tools to support system refinement and revision performed by an expert. This paper presents a userguided visual analysis approach that can answer relevant questions concerning the behavior of cyber-physical systems. The approach generates visualizations of aggregated views that capture an entire production system as well as specific characteristics of individual data features. To show the applicability of the presented methodologies, an exemplary production system is simulated and analyzed.

Copyright (c) 2016 by ASME
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