TY - JOUR A1 - Bartholmai, Matthias A1 - Goedecke, Thomas T1 - Ständig überwacht JF - Gefahrgut N2 - Mit dem Projekt SIGRID will die BAM Transpondertechnik für Gefahrguttransporte nutzbar machen. KW - Gefahrgut KW - RFID KW - BAM Datenbank Gefahrgut KW - Monitoring KW - Ladungssicherung PY - 2012 SN - 0944-6117 VL - 1 SP - 18 EP - 19 PB - Vogel CY - München AN - OPUS4-25324 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Hohendorf, Stefan A1 - Bartholmai, Matthias T1 - Intelligente Gefahrgutbehälter - IBC mit Gedächtnis JF - techn N2 - Trotz strenger gesetzlicher Regelungen kommt es immer wieder zu schwerwiegenden Unfällen und Mängeln beim Transport und der Lagerung von Gefahrgütern. Die Ursachen dafür sind oft technisches, aber auch menschliches Versagen. Nicht zu unterschätzen ist die ständig wachsende Anzahl von Gefahrguttransporten auf deutschen Straßen. Waren 2002 noch 126 Mio. t Fracht mit Gefahrguttransporten im Straßenverkehr unterwegs, stieg die Frachtmenge im Jahr 2008 bereits auf 171 Mio. t. In den letzen Jahren ereigneten sich nach Angaben des statistischen Bundesamtes etwa 300 schwere Unfälle, an denen Gefahrguttransporte beteiligt waren. Allein 2009 wurden 1 372 Unfälle mit wassergefährdenden Stoffen registriert, wobei insgesamt 376 000 l wassergefährdende Stoffe freigesetzt wurden. KW - Gefahrgut KW - RFID KW - BAM Datenbank Gefahrgut KW - Monitoring KW - Ladungsssicherung PY - 2012 UR - http://www.technischesicherheit.de/ts/currentarticle.php?data[article_id]=67080 SN - 2191-0073 VL - 2 IS - 5 SP - 2 EP - 4 PB - Springer-VDI-Verl. CY - Düsseldorf AN - OPUS4-25904 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Neumann, Patrick P. T1 - Monitoring of hazardous scenarios using multi-sensor devices and sensor data fusion JF - International journal on advances in systems and measurements N2 - The combination of different types of sensors to multi-sensor devices offers excellent potential for monitoring applications. This should be demonstrated by means of four different examples of actual developments carried out by Federal Institute for Materials Research and Testing (BAM): monitoring and indoor localization of relief forces, a micro-drone for gas measurement in hazardous scenarios, sensor-enabled radio-frequency identification (RFID) tags for safeguard of dangerous goods, and a multifunctional sensor for spatially resolved under-surface monitoring of gas storage areas. Objective of the presented projects is to increase the personal and technical safety in hazardous scenarios. These examples should point to application specific challenges for the applied components and infrastructure, and it should emphasize the potential of multi-sensor systems and sensor data fusion. KW - Monitoring KW - Multi-sensor KW - Hazardous scenarios KW - Data fusion PY - 2014 UR - http://www.iariajournals.org/systems_and_measurements/sysmea_v7_n34_2014_paged.pdf SN - 1942-261x VL - 7 IS - 3/4 SP - 193 EP - 200 PB - IARIA CY - [S.l.] AN - OPUS4-32509 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Neumann, Patrick P. A1 - Hüllmann, Dino A1 - Bartholmai, Matthias ED - Pastramă, Ş. D. ED - Constantinescu, D. M. T1 - Concept of a gas-sensitive nano aerial robot swarm for indoor air quality monitoring JF - Materials Today: Proceedings N2 - In this paper, we introduce a nano aerial robot swarm for indoor air quality monitoring applications such as occupational health and safety of (industrial) workplaces. The concept combines a robotic swarm composing of nano Unmanned Aerial Vehicles (nano UAVs), based on the Crazyflie 2.0 quadrocopter, and small lightweight metal oxide gas sensors for measuring the Total Volatile Organic Compound (TVOC) in ppb and estimating the eCO2 (equivalent calculated carbon-dioxide) concentration in ppm. TVOC is a measure for the indoor air quality. An indoor localization and positioning system will be used to estimate the absolute 3D position of the swarm like GPS. Based on this novel indoor air quality monitoring concept, the development and validation of new algorithms in the field of Mobile Robot Olfaction (MRO) are planned, namely gas source localization and gas distribution mapping. A test scenario will be built up to validate and optimize the gas-sensitive nano aerial robot swarm for the intended applications. T2 - 35th Danubia Adria Symposium on Advances in Experimental Mechanics CY - Sinaia, Romania DA - 25.09.2018 KW - Nano aerial robot KW - UAV KW - Swarm KW - Indoor air quality KW - Monitoring KW - Concept PY - 2019 DO - https://doi.org/10.1016/j.matpr.2019.03.151 SN - 2214-7853 VL - 12 IS - 2 SP - 470 EP - 473 PB - Elsevier Ltd. CY - Amsterdam AN - OPUS4-48055 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Lazik, D. A1 - Ebert, S. A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Characteristic length measurement of a subsurface gas anomaly - A monitoring approach for heterogeneous flow path distributions JF - International Journal of Greenhouse Gas Control N2 - Geogenic gases from natural sources, carbon dioxide (CO2) from a geological repository (carbon capture and storage - CCS) or a leaking gas pipeline can present serious risks in industrial and urban areas. To extend the lead time for risk treatment in such critical regions, reliable detection of gases within the shallow subsurface is required to observe critical gas accumulations before degassing into the atmosphere. A near real-time monitoring approach is introduced to determine the volumetric expansion of a leakinggas in the subsurface. Considering the pressure relaxation with the ambient air pressure, the approach enables the forecasting of the final size of a pressurized gas body in terms of characteristic lengths. According to theoretical basics, such a characteristic length, which enables us to perform a gas (safety) measurement based on a purely geometrical measure, behaves independently of subsurface properties,i.e., it enables a reliable quantification of the escaping gas irrespective of its heterogeneous or changingflow path distribution. A field test for a 10 l/min pinhole leakage injected into a 10 m long, 0.4 m wide, 0.95 m deep soil-filled trench that was equipped with linear sensors shows the lateral-vertical volumetric gas expansion along these sensors, and demonstrates the applicability of the characteristic length approach. KW - Monitoring KW - Carbon capture and storage KW - Leakage KW - Quantification KW - Subsurface KW - CO2 PY - 2016 DO - https://doi.org/10.1016/j.ijggc.2016.02.008 SN - 1750-5836 VL - 2016 IS - 47 SP - 330 EP - 341 PB - Elsevier B.V. AN - OPUS4-35425 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -