TY - CONF A1 - Bartholmai, Matthias A1 - Neumann, Patrick P. A1 - Kohlhoff, Harald A1 - Daum, Werner T1 - Multi-sensor systems for safety-related monitoring T2 - Sensor 2013 - 16th International conference on sensors and measurement technology CY - Nürnberg, Germany DA - 2013-05-14 KW - Multi-sensor system KW - Condition monitoring KW - Safety management KW - Hazardous scenarios KW - Data-fusion PY - 2013 SN - 978-3-9813484-3-9 U6 - https://doi.org/10.5162/sensor2013/B5.2 N1 - Serientitel: AMA Conferences – Series title: AMA Conferences SP - 268 EP - 272 AN - OPUS4-28518 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bennetts, V.H. A1 - Bartholmai, Matthias T1 - Adaptive gas source localization strategies and gas distribution mapping using a gas-sensitive micro-drone T2 - 16. GMA/ITG-Fachtagung 'Sensoren und Messsysteme' CY - Nürnberg, Germany DA - 2012-05-22 KW - Anemotaxis KW - Chemotaxis KW - Micro UAV KW - Bio-inspired KW - Chemical sensing KW - Gas distribution modeling KW - Gas source localization KW - Gas sensors KW - Mobile sensing system KW - Odor localization KW - Olfaction KW - Plume tracking KW - Quadrocopter PY - 2012 SN - 978-3-9813484-0-8 U6 - https://doi.org/10.5162/sensoren2012/P5.4 SP - 800 EP - 809 CY - Wunstorf AN - OPUS4-26004 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Neumann, Patrick P. A1 - Bennetts, V.H. A1 - Lilienthal, A.J. A1 - Bartholmai, Matthias A1 - Schiller, J.H. T1 - Gas source localization with a micro-drone using bio-inspired and particle filter-based algorithms N2 - Gas source localization (GSL) with mobile robots is a challenging task due to the unpredictable nature of gas dispersion, the limitations of the currents sensing technologies, and the mobility constraints of ground-based robots. This work proposes an integral solution for the GSL task, including source declaration. We present a novel pseudo-gradient-based plume tracking algorithm and a particle filter-based source declaration approach, and apply it on a gas-sensitive micro-drone. We compare the performance of the proposed system in simulations and real-world experiments against two commonly used tracking algorithms adapted for aerial exploration missions. KW - Autonomous micro UAV KW - Chemical and wind sensing KW - Gas source localization KW - Particle filter PY - 2013 U6 - https://doi.org/10.1080/01691864.2013.779052 SN - 0169-1864 SP - 725 EP - 738 PB - VNU Sciences Pr. CY - Utrecht AN - OPUS4-28010 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Wosniok, Aleksander A1 - Lazik, D. A1 - Bartholmai, Matthias T1 - Test field for the validation of a multifunctional sensor for distributed subsurface monitoring of gas storage areas N2 - BAM Federal Institute for Materials Research and Testing, in cooperation with the company MeGaSen UG carries out a research project to enhance and validate an innovative approach for distributed subsurface monitoring of gas storage areas. The concept combines different measurement technologies to one multifunctional sensor: membrane-based gas measurement technology for in-situ monitoring of gases in soil and fiber optical sensing of temperature and strain (as a measure for structural change). Key aspect of the research project is the first-time validation of the system in an application relevant dimension. For this purpose a 20 x 20 m2 test field is build. A comprehensive validation of the system is carried out by systematic variation of different parameters like position-dependent gasinjection, temperature and mechanical impact. T2 - Sensor 2013 - 16th International conference on sensors and measurement technology CY - Nürnberg, Germany DA - 14.05.2013 KW - Distributed multifunctional sensor KW - Subsurface monitoring KW - Gas storage areas KW - Membrane-based gas sensing KW - Fiber optical sensing PY - 2013 SN - 978-3-9813484-3-9 U6 - https://doi.org/10.5162/sensor2013/P2.2 N1 - Serientitel: AMA Conferences – Series title: AMA Conferences SP - 713 EP - 716 AN - OPUS4-28652 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Asadi, S. A1 - Schiller, J.H. A1 - Lilienthal, A.J. A1 - Bartholmai, Matthias T1 - An artificial potential field based sampling strategy for a gas-sensitive micro-drone N2 - This paper presents a sampling strategy for mobile gas sensors. Sampling points are selected using a modified artificial potential field (APF) approach, which balances multiple criteria to direct sensor measurements towards locations of high mean concentration, high concentration variance and areas for which the uncertainty about the gas distribution model is still large. By selecting in each step the most often suggested close-by measurement location, the proposed approach introduces a locality constraint that allows planning suitable paths for mobile gas sensors. Initial results in simulation and in real-world experiments with a gas-sensitive micro-drone demonstrate the suitability of the proposed sampling strategy for gas distribution mapping and its use for gas source localization. T2 - IEEE/RSJ International conference on intelligent robots and systems (IROS '11) / Workshop on robotics for environmental monitoring (WREM2011) CY - San Francisco, CA, USA DA - 25.09.2011 KW - Autonomous UAV KW - Chemical sensing KW - Gas distribution modelling KW - Gas source localization KW - Gas sensors KW - Mobile sensing system KW - Quadrocopter KW - Sensor planning KW - Artificial potential field PY - 2011 SP - 34 EP - 38 AN - OPUS4-24537 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Neumann, Patrick P. T1 - Monitoring of hazardous scenarios using multi-sensor devices T2 - Sensordevices 2013 - The 4th International conference on sensor device technologies and applications CY - Barcelona, Spain DA - 2013-08-25 KW - Multi-sensor device KW - Hazardous scenarios KW - Data-fusion PY - 2013 SN - 978-1-61208-297-4 SP - 9 EP - 13 AN - OPUS4-29069 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Neumann, Patrick P. ED - Fujita, H. ED - Sasaki, J. T1 - Micro-drone for gas measurement in hazardous scenarios via remote sensing T2 - 6th WSEAS International conference on REMOTE SENSING (REMOTE '10) CY - Iwate, Japan DA - 2010-10-04 KW - Remote sensing KW - Micro-drone KW - UAV KW - Gas measurement KW - Emission control KW - Data mapping KW - Monitoring KW - Plume tracking PY - 2010 SN - 978-960-474-233-2 SN - 1792-5088 SP - 149 EP - 152 PB - WSEAS Press AN - OPUS4-22275 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Neumann, Patrick P. A1 - Asadi, S. A1 - Lilienthal, A.J. A1 - Bartholmai, Matthias A1 - Schiller, J.H. T1 - Autonomous gas-sensitive microdrone - wind vector estimation and gas distribution mapping N2 - This article presents the development and validation of an autonomous, gas sensitive microdrone that is capable of estimating the wind vector in real time using only the onboard control unit of the microdrone and performing gas distribution mapping (DM). Two different sampling approaches are suggested to address this problem. On the one hand, a predefined trajectory is used to explore the target area with the microdrone in a real-world gas DM experiment. As an alternative sampling approach, we introduce an adaptive strategy that suggests next sampling points based on an artificial potential field (APF). Initial results in real-world experiments demonstrate the capability of the proposed adaptive sampling strategy for gas DM and its use for gas source localization. KW - Anemometric sensor KW - Autonomous micro UAV KW - Chemical sensing KW - Gas distribution modelling KW - Gas source localization KW - Gas sensors KW - Mobile sensing system KW - Quadrocopter KW - Sensor planning KW - Artificial potential field PY - 2012 U6 - https://doi.org/10.1109/MRA.2012.2184671 SN - 1070-9932 VL - 19 IS - 1 SP - 50 EP - 61 PB - IEEE CY - New York, NY, USA AN - OPUS4-25773 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bartholmai, Matthias A1 - Neumann, Patrick P. A1 - Lazik, D. T1 - Multifunctional sensor for monitoring of CO2 underground storage by comprehensive and spatially resolved measuring of gas concentrations, temperature and structural changes N2 - One of the main unsolved issues of CCS is the comprehensive surveillance of CO2 storage areas with reasonable effort and costs. This study presents an approach for distributed subsurface monitoring of gas storage areas. The concept combines different measurement technologies to one multifunctional sensor: membrane based measurement technology for in situ monitoring of gases in soil and fibre optical sensing of temperature and strain (as a measure for structural change). A test field of application-relevant dimensions is built up to validate and optimize the technology. T2 - GHGT 11 - Greenhouse gas control technologies conference CY - Kyoto, Japan DA - 2012-11-18 KW - Multifunctional sensor KW - Distributed sensor KW - Monitoring of CO2 KW - Subsurface monitoring KW - Gas storage areas KW - Membrane-based gas sensing KW - Fibre optical sensing PY - 2013 UR - http://reginnovations.org/key-scientific-articles/multifunctional-sensor-monitoring-co2-underground-storage-comprehensive-spatially-resolved-measuring-gas-concentrations-temperature-structural-changes/ U6 - https://doi.org/10.1016/j.egypro.2013.06.303 SN - 1876-6102 VL - 37 SP - 4033 EP - 4040 PB - Elsevier CY - Amsterdam AN - OPUS4-28910 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Neumann, Patrick P. A1 - Asadi, S. A1 - Hernandez Bennetts, V. A1 - Lilienthal, A.J. A1 - Bartholmai, Matthias T1 - Monitoring of CCS areas using micro unmanned aerial vehicles (MUAVs) N2 - Carbon capture & storage (CCS) is one of the most promising technologies for greenhouse gas (GHG) management. However, an unsolved issue of CCS is the development of appropriate long-term monitoring systems for leak detection of the stored CO2. To complement already existing monitoring infrastructure for CO2 storage areas, and to increase the granularity of gas concentration measurements, a quickly deployable, mobile measurement device is needed. In this paper, we present an autonomous gas-sensitive micro-drone, which can be used to monitor GHG emissions, more specifically, CO2. Two different measurement strategies are proposed to address this task. First, the use of predefined sensing trajectories is evaluated for the task of gas distribution mapping using the micro-drone. Alternatively, we present an adaptive strategy, which suggests sampling points based on an artificial potential field (APF). The results of real-world experiments demonstrate the feasibility of using gas-sensitive micro-drones for GHG monitoring missions. Thus, we suggest a multi-layered surveillance system for CO2 storage areas. T2 - GHGT 11 - Greenhouse gas control technologies conference CY - Kyoto, Japan DA - 18.11.2012 KW - Gas-sensitive micro-drone KW - Gas distribution mapping KW - Sensor planning KW - Artificial potential field KW - CCS PY - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-289119 SN - 1876-6102 VL - 37 SP - 4182 EP - 4190 PB - Elsevier Ltd. CY - Amsterdam AN - OPUS4-28911 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -