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Control and data acquisition of automated multi-sensor systems - two examples civil engineering

 
: Kurz, J.H.; Stoppel, M.; Taffe, A.; Dobmann, G.

:

Chimenti, D.E. ; American Institute of Physics -AIP-, New York:
Review of Progress in Quantitative Nondestructive Evaluation. Volume 29 : 26.07. - 31.07.2009, Kingston, Rhode Island
New York, N.Y.: AIP Press, 2010 (AIP Conference Proceedings 1211)
ISBN: 978-0-7354-0748-0
ISSN: 0094-243X
pp.1789-1796
Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE) <36, 2009, Kingston/Rhode Island>
English
Conference Paper
Fraunhofer IZFP ()
civil engineering; Multisensor; ultrasound; radar; eddy current; potential method

Abstract
A combination of different non-destructive test methods is often necessary to receive reliable results for material characterization, flaw detection and the determination of component specific geometry parameters. Regarding structures of concrete thickness measurements are combined with flaw detection. Furthermore, additional information about reinforcement and tendon ducts is needed. Therefore, a multi-sensor measurement approach is required with a high degree of automation. Otherwise a time consuming succession of manual measurements has to be performed. A modular control and data acquisition approach will be described and the application to two different automated measurement devices will be shown. These are results from two collaborative projects dealing with the development of an automobile robot system and a highly flexible scanner system.
These different applications are based on a similar kernel allowing the modular use of different contact and non-contact sensors. Therefore, continuous and point measurement devices can be combined and multiple sensor combinations are possible. This measurement approach leads to results in form of point data and time series. Furthermore, the coordinates of each measurement can be device dependent. Therefore, a flexible analysis concept is needed. Since often only a combination of several methods will lead to significant results the fusion of the analyzed data must also be possible.
Several aspects as well as limits and future trends concerning analysis and also flexible data storage will be discussed.

: http://publica.fraunhofer.de/documents/N-128900.html