Analytische Chemie
Filtern
Dokumenttyp
- Vortrag (80) (entfernen)
Sprache
- Englisch (53)
- Deutsch (26)
- Mehrsprachig (1)
Referierte Publikation
- nein (80) (entfernen)
Schlagworte
Organisationseinheit der BAM
- 8.1 Sensorik, mess- und prüftechnische Verfahren (80) (entfernen)
Eingeladener Vortrag
- nein (80)
This tutorial provides an overview of the utilization of sensor systems in hydrogen technologies. It discusses the necessary criteria and characteristics of sensor systems, and also demonstrates practical applications of these technologies in terms of safety and process control. Emphasis is placed on various types of sensors such as gas sensors, pressure sensors, temperature sensors, and gas flow sensors. These systems find application in monitoring and regulating operational parameters, detecting potentially dangerous situations, and activating alarm systems.
Beschichtete Zellulose Partikel als kolorimetrische passive Sensoren, die mittels optische Kamerasystem einer Drohne erfasst werden. Somit können Gefahrenstoffe, in ersten Versuchen z. B. Säuren aus sicherer Entfernung, kostengünstig und umweltverträglich detektiert werden.
Digital Calibration Certificates: Transforming Efficiency and Safety in Hydrogen Refuelling Station
(2023)
Digital Certificates have emerged as a pivotal element in automation and digitalisation. This presentation highlights the added value of a digitalised metrology, its impact on the workflows on the calibration service providing and receiving side as well as their significance in enhancing the quality infrastructure. An overview of digital calibration certificates (DCC) for temperature sensors, including their structure and role in establishing trust in hydrogen refuelling stations (HRS), will be discussed. Additionally, it explores the impact of DCC on optimising efficiency in the hydrogen refuelling process.
Exploring the paradigm shift brought about by Industry 4.0, where machines possess the ability to autonomously interpret digital certificate data, leads to streamlined safety checks and reduced human intervention. We will discuss how automated verification of machine-readable certificates contributes to maintaining and elevating safety standards over human-readable certificates. Furthermore, we will take a deep dive into the application of DCCs in HRS, showcasing how they enhance operational efficiency, accuracy, and maintenance by enabling real-time monitoring and adjustment of process data.
By exploring the interdependent relationship between digital certificates, machine-readable environments, and HRS optimisation, this presentation will provide valuable insights into harnessing cutting-edge technologies to create a safer, more efficient, and technologically empowered hydrogen refuelling process.
This seminar series comprises three lectures on drones and ground robots capable of sensing chemical substances and two accompanying hands-on workshops on nano drones equipped with chemical sensors. In the first lecture, Dr. Neumann will talk on a summary of aerial robot olfaction and his research. In the second and third lectures, more details of the nano drones equipped with chemical sensors will be provided, and the participants can get hands on experience of the nano drones in the accompanying workshops. The lectures will be given in English. This seminar series is supported by FY2023 Researcher Exchanges Program in UEC.
This seminar series comprises three lectures on drones and ground robots capable of sensing chemical substances and two accompanying hands-on workshops on nano drones equipped with chemical sensors. In the first lecture, Dr. Neumann will talk on a summary of aerial robot olfaction and his research. In the second and third lectures, more details of the nano drones equipped with chemical sensors will be provided, and the participants can get hands on experience of the nano
drones in the accompanying workshops. The lectures will be given in English. This seminar series is supported by FY2023 Researcher Exchanges Program in UEC.
In diesem Beitrag soll die Etablierung von digitalen Kalibrierscheinen als maschineninterpretierbare Ergebnisberichte in akkreditierten Kalibrierlaboren, am Beispiel der Kalibrierung von Widerstandsthermometern nach DKD-R 5-1 aufgezeigt werden. Der DCC-Entwurf basiert auf dem von der PTB entwickelten DCC-Schema für XML-Formate. Vorrangig sollen folgende Aspekte bei der Umsetzung in akkreditierten Kalibrierlaboren beleuchtet werden: Angepasste digitale Workflows und Prozessdarstellungen; Harmonisierung von DCCs nach DKD-R 5-1; Entwicklung der IT-Infrastruktur (Middleware) zur automatisierten Generierung von DCCs; Erfahrungen aus der Pilotierung der DAkkS-eAttestation zum digitalen Nachweis der Akkreditierung; Praktische Umsetzung im Rahmen von QI-Digital.
Dieses Qualitätswerkzeug soll im Gesamtkonzept von QI-Digital zum UseCase Wasserstofftankstelle kurz vorgestellt werden.
Eine online Live-Vorführung des DCC Demonstrators zur automatisierten Erstellung und Auswertung eines maschinenlesbaren digitalen Kalibrierscheins zur metrologischen Rückführung eines Pt 100 Temperaturfühlers.
Workflow: DCC Vorlage für Kalibrierungen nach DKD-R 5-1; DCC Middleware zur Aufnahme der auftragsbezogenen Metadaten und Einfügen aller Daten, inkl. der Messdaten, in die DCC Vorlage; Validierung des befüllten DCCs gegen das DCC-Schema; Siegelung des DCCs mit dem digitalen Akkreditierungssymbol; Übertragung an den DCC-Nutzer; nutzerseitige Verifizierung des elektronischen Siegels zur Sicherstellung von Authentizität, Integrität und Akkreditierung; direktes auslesen der Sensordaten mit Messunsicherheit basierend auf Herstellerspezifikationen; Einlesen und Auswerten des DCCs auf Knopfdruck, damit automatisierte Erstellung einer Kalibrierfunktion und entsprechende Korrektur der Sensordaten, automatisches Auslesen der temperaturabhängigen Messunsicherheit und Erweiterung um relevante Beiträge zum Erreichen der metrologischen Rückführbarkeit der Temperaturmessung; qualitätsgesicherte Konformitätsaussage des Prozesses auf Basis der so korrigierten Temperaturmesswerte und deren Unsicherheiten.
This seminar series comprises three lectures on drones and ground robots capable of sensing chemical substances and two accompanying hands-on workshops on nano drones equipped with chemical sensors. In the first lecture, Dr. Neumann will talk on a summary of aerial robot olfaction and his research. In the second and third lectures, more details of the nano drones equipped with chemical sensors will be provided, and the participants can get hands on experience of the nano
drones in the accompanying workshops. The lectures will be given in English. This seminar series is supported by FY2023 Researcher Exchanges Program in UEC.
Gas distribution mapping (GDM) is a valuable tool for monitoring the distribution of gases in various applications, including environmental monitoring, emergency response, and industrial safety. While GDM is actively researched in the scope of gas-sensitive mobile robots (Mobile Robot Olfaction), there is a potential for broader applications utilizing sensor networks. This presentation gives an overview of the different approaches to GDM and motivate the use of a deep-neural network-based approach. As access to ground truth representations of gas distributions remains a challenge in GDM research, an approach for the simulation of realistic-shaped synthetic gas plumes is described, which was used for training Gas Distribution Decoder, a deep neural network for spatial interpolation of spatially sparse gas measurements.
Setting up sensors for the purpose of environmental monitoring should be a matter of days, but often drags over weeks or even months, preventing scientists from doing real research. Additionally, the newly developed hardware and software solutions are often reinventing existing wheels. In this short paper, we revisit the design of our environmental sensing node that has been monitoring industrial areas over a span of two years. We share our findings and lessons learned. Based on this, we outline how a new generation of sensing node(s) can look like.