TY - CONF A1 - Melzer, Michael A1 - Fischer, Michael A1 - Thomas, Marcus A1 - Subaric-Leitis, Andreas A1 - Bartholmai, Matthias T1 - Calibration Service as a Gateway to Sustainable Research and Development N2 - Over decades, the German Federal Institute for Materials Research and Testing (BAM) has established a sophisticated calibration laboratory for force, temperature and electrical quantities. Since more than 15 years it is accredited, currently by the national accreditation body (DAkkS), and offers its service also to external entities on a global scale. As a public provider, we are furthermore committed to research and development activities that demand measurements with highest quality and low level of uncertainties. Two R&D examples are highlighted within this contribution. T2 - SMSI 2020 CY - Meeting was canceled DA - 22.06.2020 KW - Calibration of force KW - Calibration of temperature KW - Calibration of electrical quantities KW - Measurement uncertainty KW - New sensor principles PY - 2020 SN - 978-3-9819376-2-6 DO - https://doi.org/10.5162/SMSI2020/E3.3 SP - 374 EP - 375 AN - OPUS4-51222 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Hirschberger, Paul A1 - Bartholmai, Matthias ED - Holl, H. T1 - Aerial Chemical-Trail Detection and Localization N2 - 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. T2 - 37th Danubia - Adria Symposium on Advances in Experimental Mechanics CY - Linz, Austria DA - 21.09.2021 KW - Nano aerial robot KW - Trail following KW - Trail detection KW - Localization PY - 2021 SN - 978-3-9504997-0-4 VL - 2021 SP - 39 EP - 40 AN - OPUS4-53409 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Johann, Sergej A1 - Winkler, Nicolas P. A1 - Bartholmai, Matthias ED - Kourkoulis, S. K. T1 - Multi-sensor system for long-term monitoring with WiFi and LoRaWAN technology N2 - 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. T2 - 38th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Athens, Greece DA - 20.09.2022 KW - Multisensor system KW - LoRaWAN KW - WiFi KW - Long term monitoring PY - 2022 SP - 1 EP - 2 AN - OPUS4-56462 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Johann, Sergej A1 - Strangfeld, Christoph A1 - Zimmek, David A1 - Bartholmai, Matthias T1 - Smart electronic helper for long-term monitoring of bridges and building structures N2 - Increasing traffic volume on the one hand and ageing infrastructure on the other hand have created many new challenges for maintenance and structural health monitoring of roads and bridges. In the past, many bridges and road structures have been neglected, often resulting in traffic congestion, road closure, and increased repair costs. This research is concerned with the development of a system to improve the challenge of maintenance and early detection of damage, particularly moisture penetration and corrosion of steel reinforced concrete components. The objective is to develop a method that will also work after 30 years and longer. Many new IoT solutions are equipped with internal energy storage elements (accumulators or batteries) which are inappropriate here, since most relevant signs of concrete degradation occur after decades, where the functioning of such elements are more than questionable. The presented technology approach uses radio-frequency identification (RFID) and enables connectivity to sensors. It offers the advantage of an passive, completely independent energy supply without any energy storage components. Since the system should be permanently embedded in concrete, it is crucial to develop a long-term stable device which is adapted to the environmental influences of the structure, e.g., long-term resistance in very alkaline environment of pH 13. In numerous experiments, the robustness of the system was tested and evaluated. Various tests with encapsulations to protect the electronics were performed, and for long-term validation different concrete specimens were instrumented with RFID-sensor-systems. Their operating time is now around two years and investigations for signs of fatigue and damage to the encapsulation and the electronics are ongoing. T2 - SMAR 2019 CY - Potsdam, Germany DA - 27.08.2019 KW - Sensors KW - Passive RFID KW - Smart structures KW - SHT KW - Long term monitoring PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-501931 UR - https://www.ndt.net/?id=25011 SN - 1435-4934 VL - 25 IS - 1 SP - 1 EP - 6 PB - NDT.net CY - Kirchwald AN - OPUS4-50193 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Grotelüschen, Bjarne A1 - Bartholmai, Matthias A1 - Strangfeld, Christoph ED - Kossa, A. ED - Kiss, R. T1 - Towards Autonomous NDT Inspection: Setup and Validation of an Indoor Localization System N2 - Monitoring and maintenance of civil infrastructure are of great importance, as any undetected damage can cause high repair costs, unintended deadtime, or endanger structural integrity. The inspection of large concrete structures such as bridges and parking lots is particularly challenging and time-consuming. Traditional methods are mostly manual and involve mapping a grid of measurement lines to record the position of each measurement. Current semi-automated methods, on the other hand, use GPS or tachymeters for localization but still require trained personnel to operate. An entirely automated approach using mobile robots would be more cost- and time-efficient. While there have been developments in using GPS-enabled mobile robots for bridge inspection, the weak signal strength in indoor areas poses a challenge for the automated inspection of structures such as parking lots. This paper aims to develop a solution for the automated inspection of large indoor concrete structures by addressing the problem of robot localization in indoor spaces and the automated measurement of concrete cover and rebar detection. T2 - 39th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Siófok, Hungary DA - 26.09.2023 KW - NDT Inspection KW - Mobile Robot KW - Indoor Localization KW - Setup and Validation PY - 2023 SN - 978-963-421-927-9 SP - 88 EP - 89 PB - Hungarian Scientific Society of Mechanical Engineering (GTE) CY - Siófok, Hungary AN - OPUS4-58660 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Towards Autonomous NDT Inspection: Setup and Validation of an Indoor Localization System N2 - Monitoring and maintenance of civil infrastructure are of great importance, as any undetected damage can cause high repair costs, unintended deadtime, or endanger structural integrity. The inspection of large concrete structures such as bridges and parking lots is particularly challenging and time-consuming. Traditional methods are mostly manual and involve mapping a grid of measurement lines to record the position of each measurement. Current semi-automated methods, on the other hand, use GPS or tachymeters for localization but still require trained personnel to operate. An entirely automated approach using mobile robots would be more cost- and time-efficient. While there have been developments in using GPS-enabled mobile robots for bridge inspection, the weak signal strength in indoor areas poses a challenge for the automated inspection of structures such as parking lots. This paper aims to develop a solution for the automated inspection of large indoor concrete structures by addressing the problem of robot localization in indoor spaces and the automated measurement of concrete cover and rebar detection. T2 - 39th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Siófok, Hungary DA - 26.09.2023 KW - NDT Inspection KW - Mobile Robot KW - Indoor Localization KW - Setup and Validation PY - 2023 AN - OPUS4-58662 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Johann, Sergej A1 - Stührenberg, Jan A1 - Tandon, Aditya A1 - Dragos, Kosmas A1 - Bartholmai, Matthias A1 - Strangfeld, Christoph A1 - Smarsly, Kay T1 - Implementation and validation of robot-enabled embedded sensors for structural health monitoring N2 - In the past decades, structural health monitoring (SHM) has matured into a viable supplement to regular inspections, facilitating the execution of repair and maintenance work in the early stages of structural damage. With the advent of wireless technologies and advancements in information and communication technologies, civil infrastructure has been increasingly instrumented with wireless sensor nodes to record, analyze, and communicate data relevant to SHM. A promising method for SHM is to embed sensors directly into concrete for recording SHM data from inside structural elements. In this paper, a sensor system for embedment into concrete is proposed, able to assess SHM data recorded from concrete. Power is supplied to the sensors on-demand by quadruped robots, which also collect the SHM data via radio-frequency identification (RFID), providing an automated and efficient SHM process. In laboratory experiments, the capability of the sensor system of automatically collecting the SHM data using quadruped robots is validated. In summary, the integration of RFID technology and robot-based inspection presented in this study demonstrates a vital approach to evolve current SHM practices towards more digitalized and automated SHM. T2 - 11th European Workshop On Structural Health Monitoring CY - Potsdam, Germany DA - 10.06.2024 KW - Structural health monitoring KW - RFID-based sensors KW - Smart sensors KW - Embedded sensors KW - Legged robots KW - Quadruped robots PY - 2024 SP - 1 EP - 8 AN - OPUS4-60335 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Winkler, Nicolas P. A1 - Nerger, Tino A1 - Lohrke, Heiko A1 - Bartholmai, Matthias T1 - Robotic Olfaction in Action: Field Applications and Results from Current Research N2 - In recent decades, robotics, particularly in environmental monitoring, has made significant advances. Robots of various forms and sizes have become essential tools for data collection in environmental research. Mobile Robot Olfaction (MRO) involves mobile robots equipped with gas sensors and requires the integration of multiple disciplines, including signal processing, machine perception, autonomous navigation, and pattern recognition. Common applications of MRO include mapping gas distributions, locating and detecting gas sources, and tracking gas plumes. Aerial Robot Olfaction (ARO) is a specialized branch of MRO that adapts these concepts to aerial robots, addressing the challenges of airborne gas sensing. This presentation highlights recent developments and results from ongoing research projects in MRO and ARO, with a focus on real-world deployment scenarios and the challenges encountered in practice. T2 - Drohnen in der Zerstörungsfreien Prüfung CY - Magdeburg, Germany DA - 26.11.2025 KW - Ground and Aerial robots KW - Gas distribution mapping KW - Gas source localization KW - Gas Tomography KW - Mobile Robotic Olfaction PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-648928 UR - https://www.ndt.net SP - 1 EP - 15 PB - DGZfP AN - OPUS4-64892 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Johann, Sergej A1 - Lapalus, Antoin A1 - Tiebe, Carlo A1 - Bartholmai, Matthias T1 - Design and Implementation of Smart Multisensor Monitoring System for Safe Workplaces with LoRaWAN N2 - This project addresses the application of safe workplaces in offices and chemical laboratories where indoor air quality plays an important role. The LoRaWAN (Long Range Wide Area Network) is used as a communication interface to make important sensor data globally accessible. The goal of the development is to create a sensor node and an online and offline solution that collects the data from the sensor nodes and stores it on a local server or in a cloud. In cooperation with the companies WISTA GmbH and IONOS, a test sensor network is going to be established in the Berlin-Adlershof area. T2 - SMSI 2020 CY - Meeting was canceled DA - 22.06.2020 KW - Smart sensors KW - Air quality monitoring KW - LoRaWAN KW - VOC KW - Multisensor system PY - 2020 DO - https://doi.org/10.5162/SMSI2020/E5.4 SP - 388 EP - 389 AN - OPUS4-50878 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nattuveettil, Keerthana A1 - Brunner, Nanine A1 - Tiebe, Carlo A1 - Thomas, Marcus A1 - Melzer, Michael A1 - Bartholmai, Matthias A1 - Johann, Sergej A1 - Neumann, Patrick P. T1 - Digital approach of certification in Quality Infrastructure N2 - QI-Digital is a joined project aiming at digitalising Quality Infrastructure (QI) processes involving standardization, conformity assessment, accreditation, metrology, and market surveillance [1]. Federal institute of material research and testing (BAM) is working on the creation of a digital calibration certifi-cate (DCC) to achieve digital metrological traceability and conformity assessment. The utilisation of machine readable and executable DCCs in the XML format is demonstrated on an example of a tem-perature measurement at a hydrogen refueling station. The certificates will be retrieved and analysed automatically at a Process Control System or at a Digital Twin. T2 - SMSI 2023 Conference CY - Nürnberg, Germany DA - 08.05.2023 KW - Quality Infrastructure KW - Digital Certificates KW - Temperature calibration KW - Digitalisation KW - Hydrogen technology PY - 2023 DO - https://doi.org/10.5162/SMSI2023/A3.4 SP - 51 EP - 52 PB - AMA Service GmbH CY - Wunstorf AN - OPUS4-57964 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gawlitza, Kornelia A1 - Johann, Sergej A1 - Mansurova, Maria A1 - Kohlhoff, Harald A1 - Tiebe, Carlo A1 - Bell, Jérémy A1 - Bartholmai, Matthias A1 - Rurack, Knut T1 - Semi-automatic Measurement Device for Long-Term Monitoring of Ammonia in Gas Phase N2 - In the present paper the development of a semi-automated device for long-term monitoring of gaseous ammonia is described. A sensor material was produced that changes its optical properties in the pres-ence of low concentrations of ammonia in air. The implementation into an electronic device enables precise, simple, economic and fast monitoring of low concentrations of harmful gases, like ammonia, and hence can help to improve the climate monitoring in livestock housing, barns or stables. T2 - SMSI 2021 CY - Online meeting DA - 03.05.2021 KW - Spectroscopy KW - Embedded sensor KW - Environment KW - Air quality PY - 2021 SP - 133 EP - 134 AN - OPUS4-52576 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gawlitza, Kornelia A1 - Johann, Sergej A1 - Mansurova, M. A1 - Kohlhoff, Harald A1 - Tiebe, Carlo A1 - Bell, Jérémy A1 - Bartholmai, Matthias A1 - Rurack, Knut T1 - Semi-automatic Measurement Device for Long-Term Monitoring of Ammonia in Gas Phase N2 - The present paper describes the development of a sensor material that changes its fluorescence in the presence of gaseous ammonia in a relevant concentration range. The implementation into a semi-automatic gas measurement device enables low-cost, precise, simple and fast monitoring of low con-centrations of harmful gases, like ammonia, and hence can help to improve the climate monitoring in livestock housing, barns or stables. T2 - SMSI 2020 CY - Meeting was canceled KW - Spectroscopy KW - Emmbedded sensor KW - Environment KW - Air quality PY - 2020 DO - https://doi.org/10.5162/SMSI2020/B5.4 SP - 133 EP - 134 AN - OPUS4-50867 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Johann, Sergej A1 - Tiebe, Carlo A1 - Kohlhoff, Harald A1 - Bartholmai, Matthias T1 - Feasibility Study for Safe Workplaces through automation and digitalization technology with redesigned Smart Sensors and LoRaWAN Monitoring System N2 - This project addresses the application of safe and healthy workplaces in offices, chemical laboratories and other workplaces where indoor air quality plays an important role. The LoRaWAN (Long Range Wide Area Network) is used as a communication interface to make sensor data globally accessible. The objectives of the project are to create a sensor node and an online and offline system that collects the data from the sensor nodes and stores it on a local server, in a cloud, and also locally on the node to prevent communication failures. An important point in this project is the development of the sensor nodes and the placement of these in the premises, thus no development work is involved in Building the infrastructure. T2 - SMSI 2021 CY - Online meeting DA - 03.05.2021 KW - Smart sensors KW - Air quality monitoring KW - LoRaWAN KW - VOC KW - Multisensor system PY - 2021 SP - 230 EP - 231 AN - OPUS4-52649 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Moufid, M. A1 - Tiebe, Carlo A1 - El Bari, N. A1 - Bartholmai, Matthias A1 - Bouchikhi, B. T1 - Characterization of Unpleasant Odors in Poultry Houses Using Metal Oxide Semiconductor-Based Gas Sensor Arrays and Pattern Recognition Methods N2 - In this study, the ability of an electronic nose developed to analyze and monitor odor emissions from three poultry farms located in Meknes (Morocco) and Berlin (Germany) was evaluated. Indeed, the potentiality of the electronic nose (e-nose) to differentiate the concentration fractions of hydrogen sulfide, ammonia, and ethanol was investigated. Furthermore, the impact change of relative humidity values (from 15% to 67%) on the responses of the gas sensors was reported and revealed that the effect remained less than 0.6%. Furthermore, the relevant results confirmed that the developed e-nose system was able to perfectly classify and monitor the odorous air of poultry farms. T2 - 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry CY - Online meeting DA - 01.07.2021 KW - Pattern recognition methods KW - Gas sensors KW - Electronic nose KW - poultry odorous air monitoring PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-544005 UR - https://csac2021.sciforum.net/ DO - https://doi.org/10.3390/CSAC2021-10481 VL - 5 IS - 52 SP - 1 EP - 7 PB - MDPI AN - OPUS4-54400 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Tiebe, Carlo A1 - Bayat, Mehmet E. A1 - Bartholmai, Matthias T1 - Unsicherheit bei der Probenahme von Sprengstoffspuren und Detektion durch Ionenmobilitätsspektrometrie N2 - IMS trägt zur Luftfrachtsicherheit bei Geltende Luftsicherheitsgesetze verpflichten Luftsicherheitsbehörden, Flughafenbetreiber und Fluggesellschaften umfassende Sicherheitsmaßnahmen auf den Flughäfen zu ergreifen, um die Gefahr möglicher terroristischer Bedrohungen zu erkennen und zu verhindern. Wenn ein verdächtiges Objekt durch Röntgenstrahlen identifiziert wurde, kann die IMS als schnelles Analyseverfahren vor Ort orthogonal zur Radiologie eingesetzt werden, um chemische Informationen über Gefahrstoffe wie Sprengstoffe oder Drogen vor dem Abflug zu erhalten. Vor der Detektion von Sprengstoffen beginnt die Untersuchung eines verdächtigen Objekts mit der Probenahme mittels Wischprobensammlern. Eine Luftsicherheitskontrollkraft wischt dabei Oberflächen des Objekts mit einem Probensammler ab, um Partikel von Gefahrstoffen zu sammeln. Der beladene Probensammler wird anschließend in einen Probeneinlass eingeführt. Nach thermischer Desorption der gesammelten Stoffe erhält der Bediener (z. B. Luftsicherheitskontrollkraft) ein boolesches Ergebnis - "Alarm" oder "Kein Alarm". Verfahren und Ergebnisse In dieser Studie wurden drei Verfahren mit vier ECAC-zertifizierten ETD-Geräten zur Entwicklung eines Unsicherheitskonzeptes bezüglich der Probenahme (PN) angewandt: I) direkte Probenaufnahme durch lösemittelbasierten Auftrag einer bekannten Sprengstoffmenge auf einem Probensammler, II) Auftragung einer bekannten Menge eines gelösten Sprengstoffs auf einem 10 cm × 10 cm Substrat (Aluminium, Papier, Eisen und Polyvinylchlorid) und manuelle PN nach Lösemittelverdampfung, III) lösemittelbasierter Sprengstoffauftrag auf eine PTFE- oder PTFE-beschichtete Glasfaseroberfläche, nach Lösemittelverdunstung trockene Übertragung auf das zu beprobende Substrat zur PN. Nach dem binären Regressionsverfahren wurde die funktionale Abhängigkeit der Detektionswahrscheinlichkeit von einer bekannten Sprengstoffmasse mit einer Logit-Funktion beschrieben: POD=1/(1+e^(-A·(m-B))). Dabei ist POD die Wahrscheinlichkeit der Detektion für eine bekannte Sprengstoff-Masse, die Parameter A (logistische Wachstumsrate der Kurve) und B (m-Wert des Mittelpunktes des Sigmoids) sind geschätzte Parameter nach der Methode der kleinsten Quadrate, und m ist die Sprengstoffmasse. Das entwickelte Messunsicherheitsmodell kombiniert quantitative Ergebnisse aus Wägen, Lösen und Pipettieren sowie qualitative Ergebnisse - "Alarm" oder "Kein Alarm" und die Unsicherheit der PN. Identifizierte Unsicherheitsursachen sind die Durchführung der Wischprobenahme, Staub, Lösemitteleffekte und die Unsicherheit bei der Herstellung von Testlösungen. T2 - 8. IMS-Anwendertreffen CY - Potsdam, Germany DA - Veranstaltung wurde abgesagt - Meeting was cancelled KW - IMS KW - Ionenmobilitätsspektrometrie KW - Wischprobenahme KW - binäres Regressionsverfahren KW - ETD KW - Sprengstoffspurendetektion PY - 2020 VL - 2020 SP - 9 EP - 9 PB - Universität Potsdam CY - Potsdam AN - OPUS4-51136 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nattuveettil, Keerthana A1 - Brunner, Nanine A1 - Tiebe, Carlo A1 - Melzer, Michael A1 - Johann, Sergej A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Einsatz von Sensortechnologien an einer Wasserstofftankstelle als Beitrag zur digitalen Qualitätsinfrastruktur T1 - Use of sensor technologies at hydrogen test platform as a part of QI Digital N2 - 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 T2 - Sensorik für die Digitalisierung chemischer Produktionsanlagen CY - Frankfurt a. M., Germany DA - 13.06.2022 KW - QI Digital KW - H2Safety@BAM KW - Wasserstoff KW - Hydrogen KW - Sensorik KW - Digitalisierung KW - Digitalisation PY - 2022 AN - OPUS4-55399 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo A1 - Bayat, Mehmet E. A1 - Bartholmai, Matthias T1 - Identifizierung und Bewertung von Einflussgrößen bei der Sprengstoffspuren-detektion durch Ionenmobilitätsspektrometrie N2 - IMS trägt zur Luftfrachtsicherheit bei Luftsicherheitsgesetze verpflichten Luftsicherheitsbehörden, Flughafenbetreiber und Fluggesellschaften umfassende Sicherheitsmaßnahmen auf den Flughäfen zu ergreifen, um Gefahren z. B. durch potenziell gefährliche Frachtgüter zu erkennen. Von der Europäische Zivilluftfahrt-Konferenz (ECAC) zertifizierte IMS-Geräte werden vor Ort an den Kontrollpunkten orthogonal zur Radiologie eingesetzt, um chemische Informationen von verdächtiger Fracht über Gefahrstoffe wie Sprengstoffe oder Drogen vor dem Verladen zu erhalten. Vor der Detektion von Sprengstoffen beginnt die Untersuchung eines verdächtigen Objekts mit der Probenahme mittels Wischprobensammlern. Eine Luftsicherheitskontrollkraft wischt dabei Oberflächen des Objekts mit einem Probensammler ab, um Partikel von Gefahrstoffen zu sammeln. Der beladene Probensammler wird anschließend in einen Probeneinlass eingeführt. Nach thermischer Desorption der gesammelten Stoffe erhält der Bediener (z. B. Luftsicherheitskontrollkraft) ein boolesches Ergebnis - "Alarm" oder "Kein Alarm". Verfahren und Ergebnisse In dieser Studie wurden drei Verfahren mit vier ECAC-zertifizierten ETD-Geräten zur Identifizierung und Beurteilung der Probenahme (PN) entwickelt: I) direkte PN durch lösemittelbasierten Auftrag einer bekannten Sprengstoffmenge auf einem Probensammler, II) Auftrag einer bekannten Menge eines gelösten Sprengstoffs auf einem 10 cm × 10 cm Substrat (Aluminium, Papier, Eisen und Polyvinylchlorid) und manuelle PN nach Lösemittelverdampfung, III) lösemittelbasierter Sprengstoffauftrag auf eine PTFE- oder PTFE-beschichtete Glasfaseroberfläche, nach Lösemittelverdunstung trockene Übertragung auf das zu beprobende Substrat zur PN. Der Zusammenhang zwischen vorgelegter Sprengstoffmenge und der Detektionswahrscheinlichkeit (POD) erfolgt durch Anwendung des binären Regressionsverfahrens mit einer Logit-Funktion: POD=1/(1+exp⁡(-A(m-B)) )·100% Dabei entspricht m der vorgelegten Sprengstoffmasse bis 1000 ng, Parameter A / ng-1 der logistischen Wachstumsrate der Kurve und Parameter B / ng dem m-Wert des Mittelpunktes des Sigmoids. Die Bestimmung der Parameter wurde nach der Methode der kleinsten Quadrate berechnet. Das entwickelte Messunsicherheitsmodell kombiniert quantitative Ergebnisse aus Stammlösung und deren Verdünnungen sowie Stoffauftrag und qualitative Ergebnisse nach Anzeige "Alarm" oder "Kein Alarm". Dieses Auswerteverfahren wurde auf die Probenahme angewandt. Identifizierte Unsicherheitsursachen sind die Durchführung der Wischprobenahme, Staub, Lösemitteleffekte und die Unsicherheit bei der Herstellung von Testlösungen. T2 - 8. Ionenmobilitätsspektrometrie (IMS)-Anwendertreffen CY - Online meeting DA - 17.03.2021 KW - IMS KW - Ionenmobilitätsspektrometrie KW - Ion mobility spectrometry KW - Sprengstoffspurendetektion KW - Luftfrachtsicherheit PY - 2021 UR - https://www.uni-potsdam.de/de/ims2021/tagungsprogramm AN - OPUS4-52474 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Moufid, M. A1 - Tiebe, Carlo A1 - El Bari, N. A1 - Bartholmai, Matthias A1 - Bouchikhi, B. T1 - Combining of TD-GC-MS and home developed electronic nose for road traffic air monitoring N2 - In this work, we demonstrate the ability of an electronic nose system based on an array of six-semiconductor gas sensors for outdoor air quality monitoring over a day at a traffic road in downtown of Meknes city (Morocco). The response of the sensor array reaches its maximum in the evening of the investigated day which may due to high vehicular traffic or/and human habits resulting in elevated concentrations of pollutants. Dataset treatment by Principal Component Analysis and Discriminant Function Analysis shows a good discrimination between samples collected at different times of the day. Moreover, Support Vector Machines were used and reached a classification success rate of 97.5 %. Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC-MS) technique was used to validate the developed e-nose system by identifying the composition of the analyzed air samples. The discrimination obtained by e-nose system was in good agreement with the TD-GC-MS results. This study demonstrates the usefulness of TD-GC-MS and e-nose, providing high accuracy in discriminating outdoor air samples collected at different times. This demonstrates the potential of using the e-nose as a rapid, easy to use and inexpensive environmental monitoring system. T2 - 2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) CY - Sfax, Tunisia DA - 07.06.2021 KW - GC-MS KW - Electronic nose KW - Gas sensors KW - Urban air monitoring PY - 2021 DO - https://doi.org/10.1109/DTS52014.2021.9498110 SP - 1 EP - 6 AN - OPUS4-54401 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -