TY - GEN A1 - Kurz, J. A1 - Rieder, H. A1 - Stoppel, Markus A1 - Taffe, Alexander ED - Odile Abraham, ED - Dérobert, Xavier T1 - Control and data acquisition of automated multi-sensor systems in civil engineering T2 - NDTCE `09 - 7th international symposium on non destructive testing in civil engineering (Proceedings) T2 - NDTCE `09 - 7th international symposium on non destructive testing in civil engineering CY - Nantes, France DA - 2009-06-30 KW - Multisensorik KW - Data acquisition KW - Betonflächendiagnose KW - Scanner KW - ZfP im Bauwesen KW - NDT KW - Diagnosis KW - Quality assurance KW - Multi-sensor KW - Automated data acquisition PY - 2009 SN - 978-2-7208-2542-5 SN - 1628-4704 IS - Paper 77 SP - 433 EP - 439 AN - OPUS4-22488 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Stoppel, Markus A1 - Kurz, J.H. A1 - Taffe, Alexander A1 - Boller, C. ED - Chang, F.-K. T1 - Proactive condition assessment in civil engineering using automated multi-sensor systems T2 - IWSHM 2011 - 8th International workshop on structural health monitoring 2011 (Proceedings) N2 - Infrastructure is subject to continuous ageing. This has given life cycle management of infrastructure an increasing role. Reliable inspection and monitoring tools are therefore an increasing demand. 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 concrete structures thickness measurements are combined with flaw detection and additional information about reinforcement and tendon ducts is required. Therefore, a multi-sensor measurement approach is necessary with a high degree of automation. Otherwise a time consuming succession of manual measurements has to be performed which would prevent practical applications. A modular control and data acquisition approach is described and the application of two different automated measurement devices is shown. The BetoScan system consists of a self-navigating mobile robot. The system is especially designed for the investigation of reinforced concrete floors exposed to de-icing salts. The data acquisition of the OSSCAR system a multi-sensor scanner is similar to the robot approach. These different applications are based on a similar kernel allowing the modular use of different contact and noncontact sensors. The described general concept of multi-sensor data acquisition and data analysis presented here is not limited to the field of civil engineering applications. T2 - 8th International workshop on structural health monitoring 2011 CY - Stanford, CA, USA DA - 13.09.2011 KW - Multi sensor KW - Data acquisition KW - Assessment of concrete structures KW - Scanner KW - NDT PY - 2011 SN - 978-1-60595-053-2 VL - 2 SP - 2359 EP - 2366 PB - DEStech Publications, Inc. AN - OPUS4-24692 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -