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Design Aspects of a Database for Remote Laboratory Management

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Conference

2011 ASEE Annual Conference & Exposition

Location

Vancouver, BC

Publication Date

June 26, 2011

Start Date

June 26, 2011

End Date

June 29, 2011

ISSN

2153-5965

Conference Session

Mechanical and Architectural Engineering Laboratories

Tagged Division

Division Experimentation & Lab-Oriented Studies

Page Count

12

Page Numbers

22.428.1 - 22.428.12

Permanent URL

https://peer.asee.org/17709

Download Count

17

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Paper Authors

biography

Rainer Bartz Cologne University of Applied Sciences, Germany

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Rainer Bartz studied electrical engineering at RWTH Aachen, Germany, and received his Ph.D. degree for research on the application of pattern recognition mechanisms to problems in the automotive engineering domain. He worked in automotive industry for 13 years, focusing on control and data analysis tasks. In 1997 he became full professor at Cologne University of Applied Sciences. His main areas of interest are signals & systems, industrial communication, and computational intelligence.
Rainer Bartz is actively involved in the ASAM e.V. (Association for Standardization of Automation and Measuring Systems), defining standards for automotive test data management. He is member of ASEE and of IEEE.

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biography

Daniel Cox University of North Florida

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Daniel Cox is from Gainesville Florida where he also graduated with his BSME with Honors degree and Master of Engineering degree from the University of Florida in 1979 and 1981, respectively. In 1981 he joined the IBM Corporation in Boulder Colorado where he worked as a Manufacturing Engineer. In 1986 he was awarded the prestigious IBM Resident Study Program Award to attend doctoral studies at the University of Texas at Austin. He graduated with his Ph.D. in Mechanical Engineering with specialization in robotics from UT Austin in 1992 where he also worked at the IBM Austin Texas facility as a Robotics and Automation Engineer until 1998. He joined the University of Texas at Austin in 1998 as a Research Scientist where he was the Associate Director and Program Manager of the Robotics Research Group. In 2001 he joined the faculty at the University of North Florida where he is now Professor of Mechanical Engineering. Since joining UNF he has initiated the Manufacturing Innovation Partnership program, sponsored by the National Science Foundation, to foster industry-academic collaboration. His research and teaching interests are in the areas of robotics and automation, advanced manufacturing, and dynamic systems and control engineering.

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Abstract

Design Aspects of a Database for Remote Laboratory ManagementThis paper describes the design of a database which is used to manage the remote laboratoryRLab. RLab allows users from all over the world to access a set of real world physical models,to perform experiments by interactively working with them in a realtime environment, and todownload the resulting data to their own computer system for further processing. The onlyrequirement for the user's computer is an internet browser.RLab was originally developed at ***University1***; it uses NI LabVIEW to perform theinterfacing to the real world models, as well as to interact with users and the database. The RLabinfrastructure has been ported to a mechanical laboratory site at ***University2*** during thepast two years and is now used in its engineering curriculum, thereby offering access to somefurther real world models and gaining synergy from an international cooperation.To properly run such remote laboratory several aspects need to be considered. New users needto be registered at the system. The availability of experiments needs to be managed. Forinteractive work with one of the experiments, time slots need to be reserved in advance, and theattempt to access the experiments must be verified against the reservations. The experiments'parameter settings as well as results data must be kept to be retrievable afterwards, etc.. Thispaper collects requirements from a set of use cases around RLab. It then groups therequirements, proposes a data model, and describes the implementation using a relationaldatabase system. Furthermore some issues are discussed when extending the laboratory byfurther models and/or experiments, and the paper explains how this is taken care of by the RLabapproach. These results may help institutions to create an appropriate data managementarchitecture when establishing some own remotely accessible experimentation sites.

Bartz, R., & Cox, D. (2011, June), Design Aspects of a Database for Remote Laboratory Management Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. https://peer.asee.org/17709

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