TY - JOUR A1 - Moldenhauer, Laura A1 - Helmerich, Rosemarie A1 - Köppe, Enrico A1 - Haamkens, Frank A1 - Wittmann, Jochen ED - Emri, Igor T1 - Experimental feasibility study about moisture in building materials measured with Bluetooth N2 - Structural health monitoring contributes to early damage detection in the built infrastructure. During the last two decades, sensor networks transferred from wired to wireless sensor networks. Several methods exist to measure moisture in building materials. Most of the introduced commercial moisture measurement methods provide information about the local or near surface moisture. A feasibility study is presented to demonstrate, how the Received Signal Strength Indicator (RSSI) of a Bluetooth Low Energy (BLE) signal, transmitted from the BLE-module embedded in building materials, correlate with changing moisture content. The feasibility of this influence was investigated in the presented study. The maximum and minimum RSSI were systematically recorded and analysed. T2 - 33nd Danubia Adria Symposium on Advances in Experimental Mechanics CY - Portoroz, Slovenia DA - 20.09.2016 KW - BLE KW - Long-Term Monitoring KW - Network KW - Structural Health Monitoring KW - Moisture Measurement KW - RSSI KW - Bluetooth Low Energy KW - Sensor PY - 2017 UR - http://www.sciencedirect.com/science/article/pii/S2214785317308398 DO - https://doi.org/10.1016/j.matpr.2017.06.053 SN - 2214-7853 VL - 4 IS - 5, Part 1 SP - 5889 EP - 5892 PB - Elsevier Ltd. AN - OPUS4-41585 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Köppe, Enrico ED - Urs Meier, ED - Bernadette Havranek, ED - Masoud Motavalli, T1 - Wireless sensor network for long-term structural health monitoring of buildings and infrastructures N2 - Damage commonly occurs in buildings when a component fails suddenly with a partial or total collapse as a consequence. This type of event leads to serious damage to property and if it is a bridge or a large hall, then people in particular are at risk. The often great age of bridges and the increasing volume of traffic (particularly heavy traffic) which they are expected to carry are in clear contradiction to each other. Thus the probability increases that the loadbearing capacity of a bridge decreases rapidly and often unnoticed with sometimes dire consequences. In order to prevent such accidents, the Federal Institute for Materials Research and Testing is currently developing a special radio-based, self-configuring measuring system in cooperation with the Berlin-based ScatterWeb Company. This measuring system consists of a number of identically designed sensor nodes which are self-sustaining, need no wiring, can act as both transmitters and receivers and are equipped with a special sensor technology making long-term monitoring of buildings or engineering facilities possible. The sensor unit uses strain gauges for stress analysis and contains interfaces for additional sensors. The system in particular applies to buildings and structures for transport and traffic and large-scale industrial facilities, where a subsequent wiring installation is difficult or impossible. T2 - 4th International conference on structural health monitoring of intelligent infrastructure CY - Zurich, Switzerland DA - 2009-07-22 KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2009 IS - Paper 365 SP - 1 EP - 5 AN - OPUS4-19748 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Köppe, Enrico T1 - Langzeitmonitoring und Schadensfrüherkennung an Bauwerken mit einem energieeffizienten Funkensensornetzwerk. T2 - Fachausschuss Zustandsüberwachung (FA SHM) bei Airbus Deutschland GmbH CY - Bremen, Germany DA - 2008-04-03 PY - 2008 AN - OPUS4-17198 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Kammermeier, Michael A1 - Werner, Klaus-Dieter A1 - Homfeld, S.D. A1 - Köppe, Enrico T1 - Funkbasiertes Sensornetzwerk zur Schadensfrüherkennung an Bauwerken KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2008 SN - 978-3-18-092011-5 SN - 0083-5560 N1 - Serientitel: VDI-Berichte – Series title: VDI-Berichte IS - 2011 SP - 587 EP - 592 PB - VDI-Verl. CY - Düsseldorf AN - OPUS4-17264 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bartholmai, Matthias A1 - Werner, Klaus-Dieter A1 - Kammermeier, Michael A1 - Köppe, Enrico T1 - Erprobung eines Messsystems mit Datenbus und dezentraler Datenspeicherung für den Einsatz bei Fallprüfungen N2 - Zur Untersuchung der Sicherheit von Behältern für den Transport und die Lagerung von Gefahrstoffen und -gütern werden Fallprüfungen durchgeführt. Die Aufpralldynamik und die strukturmechanischen Einwirkungen auf den Behälter werden mittels Beschleunigungsaufnehmern und Dehnungsmessstreifen erfasst. Dabei kommen derzeit Vielkanalmesssysteme zum Einsatz, die eine Verkabelung jeder einzelnen Messstelle und somit das Mitfallen eines Kabelbaums erfordern, wodurch Probleme bei der Versuchsvorbereitung und Durchführung entstehen. Die Verwendung eines Messsystems mit Datenbus und dezentraler Datenspeicherung bietet diesbezüglich einen vielversprechenden Lösungsansatz. KW - Vielkanalmesssystem KW - Datenbus KW - Gefahrstoffe KW - Behälter KW - Fallprüfung KW - Hopkinsonstab KW - Multichannel measuring system KW - Data bus KW - Dangerous goods KW - Container KW - Drop test KW - Hopkinson bar PY - 2009 DO - https://doi.org/10.1524/teme.2009.0945 SN - 0340-837X SN - 0178-2312 SN - 0171-8096 VL - 76 IS - 10 SP - 447 EP - 454 PB - Oldenbourg CY - München AN - OPUS4-20284 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Köppe, Enrico ED - León, F.P. ED - Sommer, K.-D. ED - Heizmann, M. T1 - Funksensornetzwerk zur Strukturüberwachung und Schadensfrüherkennung an Bauwerken KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2010 SN - 978-3-86644-476-8 SP - 49 EP - 56 PB - KIT Scientific Publishing CY - Karlsruhe AN - OPUS4-21086 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Kammermeier, Michael A1 - Werner, Klaus-Dieter A1 - Homfeld, S.D. T1 - Funkbasiertes Sensornetzwerk zur Schadensfrüherkennung an Bauwerken T2 - Wireless Automation : funkgestützte Kommunikation in der industriellen Automatisierungstechnik ; Tagung Berlin CY - Berlin, Deutschland DA - 2008-02-28 KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2008 SN - 978-3-18-092010-8 SN - 0083-5560 N1 - Serientitel: VDI-Berichte – Series title: VDI-Berichte IS - 2010 SP - 117 EP - 125 PB - VDI-Verl. CY - Düsseldorf AN - OPUS4-17137 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Köppe, Enrico T1 - Strukturmonitoring am Beispiel von Flugzeugen mit Messverfahren der Fachgruppe "Mess- und Prüftechnik; Sensorik" T2 - Hannover-Messe CY - Hanover, Germany DA - 2010-04-19 PY - 2010 AN - OPUS4-22063 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Köppe, Enrico A1 - Bartholmai, Matthias ED - Tsamis, C. ED - Kaltsas, G. T1 - Wireless sensor network with temperature compensated measuring technology for long-term structural health monitoring of buildings and infrastructures N2 - Damage to buildings occurs if a construction component fails. The result is a partial or total collapse which can be dangerous for people for example if it's a bridge or a large hall. The collapse of the terminal building at the Airport Charles de Gaulle in Paris and the damage at the historic City Archives of Cologne are typical examples of such accidents. Another problem is the contradiction of the increasing volume of traffic (particularly heavy traffic) and the great age of bridges. The probability increases that the load-bearing capacity of a bridge decreases. For example the collapses of the Mississippi Bridge and of the Inntal Motorway Bridge can be seen as results. Therefore it is necessary to control endangered structures during their life span. In order to prevent these kinds of accidents, the Federal Institute for Materials Research and Testing developed a radio-based, self-configuring measuring system in cooperation with the ScatterWeb Company, Berlin (Germany). This measuring system consists of identically designed sensor modules which are self-sustaining, wireless, act as transmitters and receivers and are equipped with a special sensor technology for long-term monitoring of buildings or engineering facilities. The sensor unit uses strain gauges for stress analysis and contains interfaces for additional sensors. The system in particular applies to buildings and structures for transport and traffic and large-scale industrial facilities, where a subsequent wiring installation is difficult or impossible. T2 - Eurosensors XXV CY - Athens, Greece DA - 04.09.2011 KW - Multi-Hop WSN KW - SHM KW - Temperature and Frequency Compensation KW - Funksensorik KW - Sensornetzwerk KW - Multihop KW - Strukturüberwachung KW - Temperaturkompensation PY - 2011 UR - http://www.sciencedirect.com/science/article/pii/S1877705811059236 IS - Paper 1197 SP - 1 EP - 5 PB - Elsevier AN - OPUS4-24401 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Köppe, Enrico A1 - Bartholmai, Matthias A1 - Liers, A. A1 - Schiller, J. T1 - Tracking persons using a radio-based multi-sensor system N2 - A multi-sensor system for 3D localization was developed and named BodyGuard. It combines body movement sensing and a guard system for the tracking and recording of the status of persons. BodyGuard was designed to monitor and transmit the movement of a person radio-based and to transform that data into a spatial coordinate. This paper describes how the BodyGuard system works, what components the system consists of, how the individual sensor data is converted into 3D motion data, with which algorithms the individual sensors are processed, how individual errors are compensated and how the sensor data are fused into a 3D Model. T2 - IPIN 2011 - International conference on indoor positioning and indoor navigation CY - Guimaraes, Portugal DA - 21.09.2011 KW - Wireless sensor network (WSN) KW - Embedded systems KW - Sensor calibration and validation KW - Person tracking KW - Inertial navigation system KW - Inertial measurement unit PY - 2011 SP - 1 EP - 4 AN - OPUS4-24402 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -