Filtern
Erscheinungsjahr
Dokumenttyp
- Beitrag zu einem Tagungsband (72)
- Zeitschriftenartikel (41)
- Posterpräsentation (30)
- Vortrag (6)
- Beitrag zu einem Sammelband (3)
Sprache
- Englisch (152) (entfernen)
Schlagworte
- Structural health monitoring (14)
- Gas storage areas (12)
- Membrane-based gas sensing (12)
- RFID sensors (12)
- Subsurface monitoring (12)
- Nano aerial robot (10)
- Mobile Robot Olfaction (9)
- Monitoring (9)
- Smart structures (9)
- Gas source localization (8)
- Swarm (8)
- Drop test (7)
- Gas sensors (7)
- Passive RFID (7)
- Sensors in concrete (7)
- Autonomous micro UAV (6)
- Distributed linear sensor (6)
- Electronic nose (6)
- Embedded sensors (6)
- Gas sensing (6)
- Fluorescence (5)
- Nanocomposites (5)
- Quadrocopter (5)
- Wireless sensors (5)
- Air quality monitoring (4)
- Chemical sensing (4)
- Cone Calorimeter (4)
- Distributed sensor (4)
- Energy harvesting (4)
- Environmental monitoring (4)
- Fire retardancy (4)
- Hazardous scenarios (4)
- Localization (4)
- Localization of gas sources (4)
- Magnetic field (4)
- Mobile robot olfaction (4)
- Mobile sensing system (4)
- TDLAS (4)
- Tomographic reconstruction of gas plumes (4)
- Transmission characteristics (4)
- Tunable Diode Laser Absorption Spectroscopy (TDLAS) (4)
- UAV (4)
- UAV-REGAS (4)
- VOC (4)
- Artificial potential field (3)
- Chemical and wind sensing (3)
- Computed tomography (3)
- Embedded sensor (3)
- Fiber bragg grating (3)
- Gas distribution mapping and gas source localization (3)
- Hopkinson bar (3)
- Indoor air quality (3)
- Linear sensor (3)
- LoRaWAN (3)
- Long term monitoring (3)
- Long-term requirements (3)
- Magnetostrictive metal coating (3)
- Multisensor system (3)
- Particle filter (3)
- Plume tracking (3)
- SHM (3)
- Self-diagnostic fiber optical sensor (3)
- Sensor planning (3)
- Sensor requirements (3)
- Sensors (3)
- Smart sensors (3)
- Soil test field (3)
- Trail detection (3)
- Trail following (3)
- Accelerometer (2)
- Aerial robot (2)
- Aerial robot olfaction (2)
- Air quality (2)
- Ammonia (2)
- Ammonia gas sensor (2)
- Anemometric sensor (2)
- Biologically inspired robots (2)
- CO2 (2)
- Carbon capture and storage (2)
- Chemometric techniques (2)
- Concrete (2)
- Condition monitoring (2)
- Dangerous goods (2)
- Dangerous goods container (2)
- Data fusion (2)
- Data-fusion (2)
- Diagnosis of concrete components (2)
- Digitalisation (2)
- Embedded systems (2)
- Environment (2)
- Fiber Bragg grating (2)
- Fiber optical sensing (2)
- Fibre optical sensing (2)
- Field conditions (2)
- Flame retardance (2)
- Flammability (2)
- Funksensorik (2)
- Gas detection (2)
- Gas dispersion simulation (2)
- Gas distribution modelling (2)
- Gas standard generator (2)
- Gas tomography (2)
- Indoor Localization (2)
- Inertial measurement unit (2)
- Inertial navigation system (2)
- Intumescence (2)
- LOI (2)
- Leak detection (2)
- Leakage (2)
- Magnetostriction (2)
- Membrane-based linear gas sensor (2)
- Miniaturized sensor device (2)
- Mobile Robot (2)
- Monitoring of CO2 (2)
- Monitoring of dangerous goods (2)
- Multi sensor device (2)
- Multi-sensor system (2)
- Multichannel measuring (2)
- NDT Inspection (2)
- Nanocomposite (2)
- Organoclay (2)
- Person tracking (2)
- Plume (2)
- Pump control (2)
- RFID (2)
- RFID based sensors (2)
- RFID-based sensors (2)
- Reactive plume tracking (2)
- Red Phosphorus (2)
- Remote gas sensor model (2)
- Safety management (2)
- Sensor calibration and validation (2)
- Sensornetzwerk (2)
- Setup and Validation (2)
- Spectroscopy (2)
- Standard gas generator (2)
- Strain (2)
- Strukturüberwachung (2)
- Voltammetric electronic tongue (2)
- Wastewater (2)
- Wireless sensor network (WSN) (2)
- Actuators (1)
- Air-based (1)
- Airspeed calibration (1)
- Analysis (1)
- Anemometer (1)
- Anemotaxis (1)
- Auto-validation (1)
- Autonomous UAV (1)
- Autonomous robot (1)
- Behälter (1)
- Berlin Main Station (1)
- Bio-inspired (1)
- Bridge components (1)
- CCS (1)
- Calibration (1)
- Calibration of electrical quantities (1)
- Calibration of force (1)
- Calibration of temperature (1)
- Carbon multiwall nanotube (MWNT) (1)
- Cationic polymerisation (1)
- Chemical source localization (1)
- Chemotaxis (1)
- Civil engineering (1)
- Clay (1)
- Collision-free navigation (1)
- Combustion (1)
- Concept (1)
- Cone Caorimeter (1)
- Cone calorimeter (1)
- Cone calorimetry (1)
- Corresponding relative humidity (1)
- Corrosion (1)
- DDS (1)
- Data mapping (1)
- Degradation (1)
- Differential displacements (1)
- Digital Certificates (1)
- Digitalisierung (1)
- Discrimination of multiple gas sources (1)
- Distributed multifunctional sensor (1)
- Drop (1)
- Drop tests (1)
- DuraBASt (1)
- Early damage detection (1)
- Early-damage-detection (1)
- Elastoplastic material parameters (1)
- Electronic transport documents (1)
- Embedded (1)
- Embedded system (1)
- Emission control (1)
- Emmbedded sensor (1)
- Environmental analysis (1)
- Epoxide (1)
- Estimation (1)
- Fallprüfung (1)
- Fiber Bragg gratings (1)
- Fiber optic sensing (1)
- Fibre optical sensing (1)
- Finite element methods (1)
- Fire testing (1)
- Flame retardancy (1)
- Fluorescence sensor (1)
- Fluorescent sensor (1)
- Fluoreszenz (1)
- Flying platforms (1)
- Frequency response (1)
- GC-MS (1)
- Gas detector (1)
- Gas distribution mapping (1)
- Gas distribution modeling (1)
- Gas measurement (1)
- Gas storage sites (1)
- Gas-sensitive micro-drone (1)
- Gefahrstoffe (1)
- Guided wave (1)
- H2Safety@BAM (1)
- High Impact testing (1)
- High impact shock application (1)
- High impact testing (1)
- Hochdynamische Prüfung (1)
- Hopkinson Bar (1)
- Hopkinson pressure bar (1)
- Hopkinsonstab (1)
- Humidity sensors (1)
- Hydraulic levelling system (1)
- Hydrogen (1)
- Hydrogen technology (1)
- Impact (1)
- Indentation (1)
- Inertial measurement unit (IMU) (1)
- Intumescent coating materials (1)
- Intumescent coatings (1)
- KonSens (1)
- Lamb wave (1)
- Lamb-waves (1)
- Large scale soil test field (1)
- Laser-based displacement measuring system (1)
- Legged robots (1)
- Measurement (1)
- Measurement uncertainty (1)
- Mesh routing (1)
- Metal oxide semiconductor (1)
- Methane measuring (1)
- Mg(OH)2 (1)
- Micro UAV (1)
- Micro unmanned aerial vehicle (UAV) (1)
- Micro-drone (1)
- Mikrodrohne (1)
- Modeling and simulation (1)
- Moisture (1)
- Moisture measurements (1)
- Monitoring of CO 2 (1)
- Multi-Hop WSN (1)
- Multi-hop (1)
- Multi-sensor (1)
- Multi-sensor device (1)
- Multichannel measuring system (1)
- Multifunctional sensor (1)
- Multihop (1)
- Multirotor aircraft (1)
- Multivariate analysis (1)
- New sensor principles (1)
- Non-destructive evaluation (1)
- Numerical analysis (1)
- Odor localization (1)
- Oil (1)
- Oil spills (1)
- Olfaction (1)
- Outdoor odor emissions (1)
- PCA (1)
- PH monitoring in concrete (1)
- PLS regression (1)
- Passive sensor interface (1)
- Passive sensors (1)
- Pattern recognition methods (1)
- Permeation (1)
- Permeation method (1)
- Petrol (1)
- Petroleum (1)
- Phototransistor (1)
- Piezoresistive accelerometer (1)
- Piezoresistive accelerometers (1)
- Porous building materials (1)
- Portable (1)
- Prototyp (1)
- QI Digital (1)
- Quadrokopter (1)
- Quadruped robots (1)
- Quality Infrastructure (1)
- Quantification (1)
- Quantification of gas concentrations (1)
- RAM packages (1)
- RFID Sensor systems (1)
- RFID sensors systems (1)
- RFID Sensors systems (1)
- Radioactive (1)
- Rapid test (1)
- Ratiometric fluorescence (1)
- Real-time (1)
- Reinforced concrete (1)
- Remote gas sensing (1)
- Remote sensing (1)
- Robotik (1)
- SHT (1)
- Safety region model (1)
- Schadensfrüherkennung (1)
- Selective permeability (1)
- Self-diagnosis (1)
- Sensor (1)
- Sensoren (1)
- Sensorik (1)
- Single cable measuring (1)
- Single cable serial connection (1)
- Single cable system (1)
- Smartphone (1)
- Solid phase micro extraction-gas chromatography–mass spectrometry (1)
- Spatially distributed monitoring (1)
- Strain measurements (1)
- Structural Health Monitoring (1)
- Structure health monitoring (1)
- Subsurface (1)
- Suche und Lokalisierung von gasförmigen Gefahrstoffquellen (1)
- System adhesive/ strain gauge (1)
- TD-GC-MS (1)
- TG (1)
- TG-FTIR (1)
- TG-MS (1)
- Temperature behavior (1)
- Temperature and Frequency Compensation (1)
- Temperature behavior (1)
- Temperature behavior of a piezoresistive accelerometer (1)
- Temperature calibration (1)
- Temperature characteristics (1)
- Temperature dependent and high dynamic load tests (1)
- Temperaturkompensation (1)
- Test (1)
- Test Streifen (1)
- Test gas generation (1)
- Test strip (1)
- Thermal desorption-gas chromatography-mass spectrometry (1)
- Thermal resistance (1)
- Thrust (1)
- UAS (1)
- UHF antenna (1)
- UL94 (1)
- Ultrasound (1)
- Uncertainty (1)
- Urban air monitoring (1)
- Validation (1)
- Vielkanalmesssystem (1)
- WLAN (1)
- WSN (1)
- Wasserstoff (1)
- Water quality (1)
- Water quality control (1)
- WiFi (1)
- Wind (1)
- Wind estimation (speed and direction) (1)
- Wind speed and direction (1)
- Wind vector (1)
- Wireless mobile sensor device (1)
- agricultural economy (1)
- embedded sensor (1)
- environment (1)
- fluorescence (1)
- gas analysis (1)
- poly(propylene) (PP) (1)
- poultry odorous air monitoring (1)
- spectroscopy (1)
- Öl (1)
Organisationseinheit der BAM
- 8 Zerstörungsfreie Prüfung (55)
- 8.1 Sensorik, mess- und prüftechnische Verfahren (55)
- 8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen (9)
- 1 Analytische Chemie; Referenzmaterialien (8)
- 1.9 Chemische und optische Sensorik (7)
- 2 Prozess- und Anlagensicherheit (3)
- 2.1 Sicherheit von Energieträgern (3)
- 1.2 Biophotonik (1)
- 3 Gefahrgutumschließungen; Energiespeicher (1)
- 3.3 Sicherheit von Transportbehältern (1)
Paper des Monats
- ja (1)
Eingeladener Vortrag
- nein (6)
Die Optimierung und Validierung des digitalen Wasserstofftankstellenmanagements mit Sensortechnologien ist das übergeordnete Ziel des Teilprojekts Digitale Qualitätsinfrastruktur mit Sensortechnologien (QIST) am Use Case H2, im Rahmen der digitalen Qualitätsinfrastruktur (QI digital[1]). Hierfür sollen u.a. Sensornetzwerke mit digital-gestützten Auswertungsstrategien intelligent gestaltet werden (Stichwort KI bzw. digitaler Zwilling). Verschiedene, sich ergänzende Sensoren, Systemkomponenten und KI-Methoden stehen als Bausteine intelligenter Sensorsysteme zur Verfügung, mit dem Zweck, die physikalischen und chemischen Parameter an und in Anlagen umfassend und effizient zu überwachen sowie Fehlfunktionen zuverlässig zu detektieren und zu interpretieren, Abbildung 1.
Konkrete Arbeitsschritte sind, nach dem Aufbau der Versuchsplattform „Wasserstofftankstelle“, die Instrumentierung von Sensorik und deren digitale Integration in das Tankstellenmanagementsystem sowie die Validierung im Realbetrieb. Die somit erzielten Messergebisse sowie die Messunsicherheiten, Historien und Verfahren werden in digitaler Form aufbereitet, gespeichert und fortlaufend in die KI-basierte Datenauswertung einbezogen, inkl. der Anbindung an die metrologische Rückführungskette.
Ziele sind:
• Einführung eines neuen messtechnischen Ansatzes und eines digitalen Zwillings für den Anwendungsfall "Wasserstofftankstelle" auf Basis der H2-Sensorik sowie der Zustandsgrößen Druck und Temperatur
• Qualitätssicherung durch Applikationen zuverlässiger Gassensorik, Manometer und Thermometer sowie KI-Methoden zur Prozesskontrolle und Detektion von Fehlfunktionen
• Nutzung von digitalen Kalibrierscheinen (DCCs) insbesondere für die Messgröße Temperatur zur Realisierung der metrologischen Rückführung in einer digitalen Qualitätsinfrastruktur
This work focuses on the design and fabrication of low-cost and fast-response of an electronic nose (E-nose) based on semiconductor gas sensors, for discriminating some synthetic gases such as ammonia (NH3), ethanol (C2H5OH), and hydrogen sulfide (H2S). Additionally, the capability of separating different concentration levels of each considered gases was checked. Dataset treatment of E-nose by using Principal Component Analysis (PCA) showed a good discrimination of the different synthetic gases. Furthermore, perfect classification was reached of different concentration levels of the analysed gases by using Discriminant Function Analysis (DFA). In the light of these results, it could be stated that the developed E-nose system constitutes an inexpensive, rapid, simple to use, and efficient tool for synthetic gases detection.
In many cases, science falls back on self-developed prototype systems, which are used and developed for the measurement and execution of the tasks. About 80 % of the development is based on the same hardware design, which is used in only one application scenario and then discarded. For the most part, there are also uncalibrated sensors, since it is costly to calibrate a complicated sensor measurement system or the entire measurement chain since access to the sensor systems is not always available. This paper describes a conceptual design to implement a versatile sensor system with the motivation to fuse the data recording and data reception, which can cover large areas with the help of LoRaWAN (Long Range Wide Area Network) technology. To overcome disadvantages of LoRaWAN, namely the slow data rates, the proposed sensor system can also cover smaller areas with the widespread WiFi technology. An enormous advantage over individual complete systems in the form of a prototype, is the rapid expansion, uncomplicated calibration of the individual sensors and the ecological relief.
A modular design is used, where individual stacks with sensors and peripherals can be added separately. The stacks are standalone low-power systems and can be calibrated, maintained, and replaced separately and do not require the entire measurement chain. The measured and sent values are stored locally on the main stack and sent to the data collector (gateway) and evaluated by means of the automated selection between WiFi and LoRaWAN.
In civil engineering, many structures are made of reinforced concrete. Most Degradation processes relevant to this material, e.g., corrosion, are related to an increased level of material moisture.
Therefore, moisture monitoring in reinforced concrete is regarded as a crucial method for structural health monitoring. In this study, passive radio frequency identification (RFID)-based sensors are embedded into the concrete. They are well suited for long-term operation over decades and are well protected against harsh environmental conditions. The energy supply and the data transfer of the humidity sensors are provided by RFID. The sensor casing materials are optimised to withstand the high alkaline environment in concrete, having pH values of more than 12. Membrane materials are also investigated to identify materials capable of enabling water vapour transport from the porous cement matrix to the embedded humidity sensor. By measuring the corresponding relative humidity with embedded passive RFID-based sensors, the cement hydration is monitored for 170 days.
Moreover, long-term moisture monitoring is performed for more than 1000 days. The Experiments show that embedded passive RFID-based sensors are highly suitable for long-term structural health monitoring in civil engineering.
This paper presents first advances in the area of aerial chemical trail following. For that purpose, we equipped a palm-size aerial robot, based on the Crazyflie 2.0 quadrocopter, with a small lightweight metal oxide gas sensor for measuring evaporated ethanol from chemical trails. To detect and localize the chemical trail, a novel detection criterion was developed that uses only relative changes in the transient phase of the sensor response, making it more robust in its application. We tested our setup in first crossing-trail experiments showing that our flying ant robot is able to correlate an odor hit with the chemical trail within 0.14 m. Principally, this could enable aerial chemical trail following in the future.
This paper describes a wireless mobile prototype able to perform optical measurements by means of a miniatur-ized spectrometer for low light analysis, e.g. fluorescent sensors. Evaluations, calculations, calibration management and result display are performed by a computer or a standard tablet. The device was designed primarily to detect traces of oil in drinking or ground water and for the analyses of crude oils. However, it can also address a wide range of fluorescent sensors. The fast and user-friendly inspection of water quality or oil properties, as well as the adaptability and mobility, make the device attractive for a variety of users. Further application areas could be easily imple-mented by adapting the optics and the software (database, data processing and calibration plots, etc.)
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.
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.
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.
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.