Dokument-ID Dokumenttyp Autoren/innen Persönliche Herausgeber/innen Haupttitel Abstract Auflage Verlagsort Verlag Herausgeber (Institution) Erscheinungsjahr Titel des übergeordneten Werkes Jahrgang/Band ISBN Veranstaltung Veranstaltungsort Beginndatum der Veranstaltung Enddatum der Veranstaltung Ausgabe/Heft Erste Seite Letzte Seite URN DOI Lizenz Datum der Freischaltung OPUS4-56462 Beitrag zu einem Tagungsband Johann, Sergej; Winkler, Nicolas P.; Bartholmai, Matthias Kourkoulis, S. K. Multi-sensor system for long-term monitoring with WiFi and LoRaWAN technology 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. Greek Society of Experimental Mechanics of Materials 2022 38th Danubia-Adria Symposium on Advances in Experimental Mechanics - Extended abstracts 38th Danubia-Adria Symposium on Advances in Experimental Mechanics Athens, Greece 20.09.2022 23.09.2022 1 2 2022-12-05 OPUS4-56574 Beitrag zu einem Tagungsband Moufid, M.; Tiebe, Carlo; El Bari, N.; Bartholmai, Matthias; Bouchikhi, B. Advance in electronic nose technology developed for the detection and discrimination of ethanol, ammonia, and hydrogen sulfide gases 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. 2022 IEEE International symposium on olfaction and electronic nose (ISOEN 2022) 978-1-6654-5860-3 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Aveiro, Portugal 29.05.2022 01.06.2022 1 3 10.1109/ISOEN54820.2022.9789636 2022-12-19 OPUS4-54507 Zeitschriftenartikel Neumann, Patrick P.; Hirschberger, Paul; Bartholmai, Matthias Holl, H. Flying ant robot for chemical trail detection and localization 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 a 5 cm wide chemical trail, a detection criterion was developed that uses only relative changes in the transient phase of the sensor response. The reduction in signal strength dependence improves the robustness of its application. We tested our setup in first crossing-trail experiments showing that our flying ant robot can correlate an odor hit with the chemical trail within 0.14 m. Principally, this could enable aerial chemical trail following in the future. Amsterdam Elsevier Ltd. 2022 Materials Today: Proceedings 62 37th Danubia - Adria Symposium on Advances in Experimental Mechanics Linz, Austria 21.09.2021 24.09.2021 2462 2465 10.1016/j.matpr.2022.02.594 2022-03-21 OPUS4-54400 Beitrag zu einem Tagungsband Moufid, M.; Tiebe, Carlo; El Bari, N.; Bartholmai, Matthias; Bouchikhi, B. Characterization of Unpleasant Odors in Poultry Houses Using Metal Oxide Semiconductor-Based Gas Sensor Arrays and Pattern Recognition Methods 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. MDPI 2021 The 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry) 5 1st International Electronic Conference on Chemical Sensors and Analytical Chemistry Online meeting 01.07.2021 15.07.2021 52 1 7 urn:nbn:de:kobv:b43-544005 10.3390/CSAC2021-10481 https://creativecommons.org/licenses/by/4.0/deed.de 2022-02-28 OPUS4-54401 Beitrag zu einem Tagungsband Moufid, M.; Tiebe, Carlo; El Bari, N.; Bartholmai, Matthias; Bouchikhi, B. Combining of TD-GC-MS and home developed electronic nose for road traffic air monitoring 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. 2021 2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) 2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Sfax, Tunisia 07.06.2021 10.06.2021 1 6 10.1109/DTS52014.2021.9498110 2022-02-28 OPUS4-53933 Beitrag zu einem Tagungsband Neumann, Patrick P.; Hirschberger, Paul; Bartholmai, Matthias Flying Ant Robot - Aerial Chemical Trail Detection and Localization 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. IEEE 2021 Proceedings of the IEEE Sensors 2021 IEEE Sensors 2021 Online meeting 31.10.2021 04.11.2021 1 4 10.1109/sensors47087.2021.9639857 2021-12-08 OPUS4-53409 Beitrag zu einem Tagungsband Neumann, Patrick P.; Hirschberger, Paul; Bartholmai, Matthias Holl, H. Aerial Chemical-Trail Detection and Localization 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. Johannes Kepler University, Linz, Austria 2021 37th Danubia - Adria Symposium on Advances in Experimental Mechanics: Extendet abstracts 2021 978-3-9504997-0-4 37th Danubia - Adria Symposium on Advances in Experimental Mechanics Linz, Austria 21.09.2021 24.09.2021 39 40 2021-09-29 OPUS4-52576 Beitrag zu einem Tagungsband Gawlitza, Kornelia; Johann, Sergej; Mansurova, Maria; Kohlhoff, Harald; Tiebe, Carlo; Bell, Jérémy; Bartholmai, Matthias; Rurack, Knut Semi-automatic Measurement Device for Long-Term Monitoring of Ammonia in Gas Phase 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. 2021 SMSI 2021 Proceedings SMSI 2021 Online meeting 03.05.2021 06.05.2021 133 134 2021-05-06 OPUS4-52649 Beitrag zu einem Tagungsband Johann, Sergej; Tiebe, Carlo; Kohlhoff, Harald; Bartholmai, Matthias Feasibility Study for Safe Workplaces through automation and digitalization technology with redesigned Smart Sensors and LoRaWAN Monitoring System 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. 2021 SMSI 2021 Proceedings SMSI 2021 Online meeting 03.05.2021 06.05.2021 230 231 2021-05-17 OPUS4-52626 Zeitschriftenartikel Moufid, M.; Bouchikhi, B.; Tiebe, Carlo; Bartholmai, Matthias; El Bari, N. Assessment of outdoor odor emissions from polluted sites using simultaneous thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS), electronic nose in conjunction with advanced multivariate statistical approaches Poor air quality, particularly in urban areas, causes various diseases and degrades living standards. Air Quality could be affected by emissions of odor, Volatile Organic Compounds (VOCs), and other gases. Therefore, assessment and monitoring of odorous air quality using sensitive, simple, rapid, accurate and portable tools is very important for public health. This study aimed to characterize odor emissions to detect malfunctions in facilities and to prevent air pollution and olfactory nuisance in the environment. A gas chromatographic method, in conjunction with sensorial analysis were performed for odorous air samples analysis collected from neighborhood of Meknes city (Morocco). Advanced multivariate statistical approaches, such as Principal Components Analysis (PCA), Discriminant Function Analysis (DFA), Support Vector Machines (SVMs), and Hierarchical Cluster Analysis (HCA), were used to describe samples similarities. The electronic nose (e-nose) data processing exhibits a satisfactory discrimination between the odorous air samples. Twenty-four VOCs with known molecular formulas were identified with Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC-MS). A validated Partial Least Square (PLS) model foresees good calibration between e-nose measurement and TD-GCMS analysis. The finding indicates that TD-GC-MS approach in conjunction with e-nose unit could be suitable tool for environmental measurement-based odor emissions. Elsevier Ltd. 2021 Atmospheric Environment 256 118449 10.1016/j.atmosenv.2021.118449 2021-05-12