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Autor

  • Neumann, Patrick P. (142)
  • Bartholmai, Matthias (75)
  • Hüllmann, Dino (28)
  • Kohlhoff, Harald (26)
  • Lazik, D. (18)
  • Tiebe, Carlo (15)
  • Kluge, Martin (14)
  • Krentel, Daniel (13)
  • Lilienthal, A.J. (13)
  • Askar, Enis (12)
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Erscheinungsjahr

  • 2020 (5)
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  • 2017 (25)
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  • Beitrag zu einem Tagungsband (44)
  • Posterpräsentation (32)
  • Zeitschriftenartikel (31)
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Referierte Publikation

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Schlagworte

  • Mobile Robot Olfaction (21)
  • Gas storage areas (12)
  • Membrane-based gas sensing (12)
  • Subsurface monitoring (12)
  • Tomographic reconstruction of gas plumes (12)
  • Nano aerial robot (11)
  • Swarm (11)
  • Localization of gas sources (10)
  • Tunable Diode Laser Absorption Spectroscopy (TDLAS) (10)
  • UAV (10)
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Organisationseinheit der BAM

  • 8 Zerstörungsfreie Prüfung (97)
  • 8.1 Sensorik, mess- und prüftechnische Verfahren (97)
  • 2 Chemische Sicherheitstechnik (24)
  • 2.4 Auswirkungsbetrachtungen bei Stoff- und Energiefreisetzungen (24)
  • 2.1 Explosionsschutz Gase, Stäube (13)
  • 3 Gefahrgutumschließungen (12)
  • 2.2 Reaktionsfähige Stoffe und Stoffsysteme (11)
  • 3.2 Gefahrguttanks und Unfallmechanik (9)
  • 1 Analytische Chemie; Referenzmaterialien (6)
  • 4 Material und Umwelt (6)
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Concept of a gas-sensitive nano aerial robot swarm for indoor air quality monitoring (2018)
Neumann, Patrick P. ; Hüllmann, Dino ; Bartholmai, Matthias
In industrial environments, airborne by-products such as dust and (toxic) gases, constitute a major risk for the worker’s health. Major changes in automated processes in the industry lead to an increasing demand for solutions in air quality management. Thus, occupational health experts are highly interested in precise dust and gas distribution models for working environments. For practical and economic reasons, high-quality, costly measurements are often available for short time-intervals only. Therefore, current monitoring procedures are carried out sparsely, both in time and space, i.e., measurement data are collected in single day campaigns at selected locations only. Real-time knowledge of contaminant distributions inside the working environment would also provide means for better and more economic control of air impurities. For example, the possibility to regulate the workspace’s ventilation exhaust locations can reduce the concentration of airborne contaminants by 50%. To improve the occupational health and safety of (industrial) workplaces, this work aims for developing a swarm of gas-sensitive aerial nano robots for monitoring indoor air quality and for localizing potential emission sources.
Concept of a gas-sensitive nano aerial robot swarm for indoor air quality monitoring (2018)
Neumann, Patrick P.
In industrial environments, airborne by-products such as dust and (toxic) gases, constitute a major risk for the worker’s health. Major changes in automated processes in the industry lead to an increasing demand for solutions in air quality management. Thus, occupational health experts are highly interested in precise dust and gas distribution models for working environments. For practical and economic reasons, high-quality, costly measurements are often available for short time-intervals only. Therefore, current monitoring procedures are carried out sparsely, both in time and space, i.e., measurement data are collected in single day campaigns at selected locations only. Real-time knowledge of contaminant distributions inside the working environment would also provide means for better and more economic control of air impurities. For example, the possibility to regulate the workspace’s ventilation exhaust locations can reduce the concentration of airborne contaminants by 50%. To improve the occupational health and safety of (industrial) workplaces, this work aims for developing a swarm of gas-sensitive aerial nano robots for monitoring indoor air quality and for localizing potential emission sources.
A low-cost cable-suspended parallel manipulator for testing 3D olfaction algorithms (2017)
Neumann, Patrick P. ; Detlefsen, Malte ; Hüllmann, Dino ; Kohlhoff, Harald
Cable-suspended parallel manipulators have been a topic of research for multiple decades and called special attention in the fields of simulations. However, they are also well-suited for the simple evaluation of aerial-based mobile robot olfaction (MRO) algorithms, such as gas source localization and gas distribution mapping. Based on an open source framework for 3D printers, we designed a low-cost underconstrained, cable-suspended parallel manipulator. Computations are carried out purely on an Atmel ATmega2560 microcontroller.
A low-cost cable-suspended parallel manipulator for testing 3D olfaction algorithms (2017)
Neumann, Patrick P. ; Hüllmann, Dino
Cable-suspended parallel manipulators have been a topic of research for multiple decades and called special attention in the fields of simulations. However, they are also well-suited for the simple evaluation of aerial-based mobile robot olfaction (MRO) algorithms, such as gas source localization and gas distribution mapping. Based on an open source framework for 3D printers, we designed a low-cost underconstrained, cable-suspended parallel manipulator. Computations are carried out purely on an Atmel ATmega2560 microcontroller.
Near Real-Time Reconstruction of 2D Soil Gas Distribution from a Regular Network of Linear Gas Sensors (2015)
Neumann, Patrick P.
Inverse calibration routine for linear soil gas sensors (2015)
Neumann, Patrick P.
Remote Gas Sensing with Multicopter-Platforms (2019)
Winkler, Nicolas P. ; Neumann, Patrick P. ; Hüllmann, Dino ; Kohlhoff, Harald ; Bartholmai, Matthias ; Bennetts, V. H. ; Lilienthal, A. J.
This presentation gives an introduction to the gas-sensitive aerial robots developed at BAM, including various application examples in the field of mobile robot olfaction: gas source localization and gas distribution mapping.
Indoor air quality monitoring using flying nanobots: Design and experimental study (2019)
Neumann, Patrick P. ; Hirschberger, Paul ; Baurzhan, Zhandos ; Tiebe, Carlo ; Hofmann, Michael ; Hüllmann, Dino ; Bartholmai, Matthias
In this paper, we introduce a nano aerial robot swarm for Indoor Air Quality (IAQ) monitoring applications such as occupational health and safety of (industrial) workplaces. The robotic swarm is composed of nano Unmanned Aerial Vehicles (UAVs), based on the Crazyflie 2.0 quadrocopter, and small lightweight Metal Oxide (MOX) gas sensors for measuring the Total Volatile Organic Compound (TVOC), which is a measure for IAQ. An indoor localization and positioning system is used to estimate the absolute 3D position of the swarm similar to GPS. A test scenario was built up to validate and optimize the swarm for the intended applications. Besides calibration of the IAQ sensors, we performed experiments to investigate the influence of the rotor downwash on the gas measurements at different altitudes and compared them with stationary measurements. Moreover, we did a first evaluation of the gas distribution mapping performance. Based on this novel IAQ monitoring concept, new algorithms in the field of Mobile Robot Olfaction (MRO) are planned to be developed exploiting the abilities of an aerial robotic swarm.
Indoor air quality monitoring using flying nanobots: Design and experimental study (2019)
Neumann, Patrick P.
In this paper, we introduce a nano aerial robot swarm for Indoor Air Quality (IAQ) monitoring applications such as occupational health and safety of (industrial) workplaces. The robotic swarm is composed of nano Unmanned Aerial Vehicles (UAVs), based on the Crazyflie 2.0 quadrocopter, and small lightweight Metal Oxide (MOX) gas sensors for measuring the Total Volatile Organic Compound (TVOC), which is a measure for IAQ. An indoor localization and positioning system is used to estimate the absolute 3D position of the swarm similar to GPS. A test scenario was built up to validate and optimize the swarm for the intended applications. Besides calibration of the IAQ sensors, we performed experiments to investigate the influence of the rotor downwash on the gas measurements at different altitudes and compared them with stationary measurements. Moreover, we did a first evaluation of the gas distribution mapping performance. Based on this novel IAQ monitoring concept, new algorithms in the field of Mobile Robot Olfaction (MRO) are planned to be developed exploiting the abilities of an aerial robotic swarm.
Aerial- and ground-based gas tomography for increasing environmental safety in chemical industry (AGATO) (2019)
Neumann, Patrick P.
In AGATO, we combine ground and aerial robots into a heterogeneous robot swarm, equip robots with gas sensors (in-situ/open-path) and/or reflectors as payload, reconstruct potential gas plumes/clouds in 3D, and identify potential gas leaks based on reconstructed tomographic images.
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