Department of Systems Engineering
Faculty NT - Natural Sciences and Technology
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with Tutorial:
Machine Learning for Industrial Measurement: How to?
Tuesday, May 6, 15.30 - 17.00
Open Access Journal Atmosphere
View all details - Call for papers (pdf)
Deadline for manuscript submission: January 31, 2019.
Low-cost sensor technologies are gaining increasing interest for monitoring of air quality, both in the outside air and indoors. Sensor technologies can provide comprehensive information concerning a wide range of pollutants with high spatial and temporal resolution. They thereby offer the basis for novel environmental information services, i.e. green routes through cities for bikers and joggers. However, the data quality and reliability of these sensors as well as systematic integration with fixed monitoring stations and modeling approaches remain challenging.
The Special Issue will cover a range of topics addressing modern sensor technologies, test, validation and calibration as well as practical applications including multisensor integration, uses for model validation, data fusion and data assimilation, but also for supporting environmental information services and citizen science goals. We target high quality papers on the latest technological developments as well as examples of field studies using low-cost air pollution sensors of various types and for numerous applications in ambient as well as indoor environments.
Keywords
For further information, please refer to the special issue homepage.
Guest editors
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Prof. Dr. Ole Hertel |
Prof. Dr. Andreas Schütze |
Prof. Dr. Kostas Karatzas
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Our recent paper "Highly Sensitive and Selective VOC Sensor Systems Based on Semiconductor Gas Sensors: How to?" was selected as cover story for the March 2017 issue of the journal ENVIRONMENTS. The paper provides an overview over our work on low-cost VOC sensors for einvironmental monitoring and is available open access.
Smart microsensor systems for VOCs, including critical low-threshold pollutants such as benzene, can allow monitoring with high spatiotemporal resolution. A systematic approach for low-cost sensor systems is presented by combining dynamic operation for increased selectivity and sensitivity with a novel pre-concentrator concept. Advanced gas test systems allow testing and evaluation in realistic complex matrices, while a strategy is proposed for cost-efficient factory and on-site calibration.
The cover art shows the model for temperature cycled operation (TCO) of metal oxide gas sensors, our novel approach for integrating pre-concentration and sensors in a miniaturized package and the results obtained for benzene quantification using PLSR with an uncertainty of less than 1 ppb.
Full citation:
A. Schütze, T. Baur, M. Leidinger, W. Reimringer, R. Jung, T. Conrad, T. Sauerwald
Highly Sensitive and Selective VOC Sensor Systems Based on Semiconductor Gas Sensors: How to?
Environments 2017, 4, 20;
doi: 10.3390/environments4010020
Das von der Deutschen Bundesstiftung Umwelt (DBU) geförderte Projekt SUSmobil "Befähigung und Begleitung von Schülern zur Durchführung von Umweltstudien mit Smartphone und mobiler Messtechnik – Bewertung von Luftqualität und Abgasen durch Erfassung umwelt- und gesundheitsrelevanter Schadstoffe" ist am 01. Juli 2017 gestartet, die Projektlaufzeit beträgt drei Jahre.
Gemeinsam mit unseren Projektpartnern TU Kaiserslautern, Fachbereich Physik, AG Didaktik der Physik, Prof. Dr. Kuhn und Schülerforschungszentrum Saarlouis, Benjamin Brück wollen wir Schülerinnen und Schülern moderne Methoden der Umweltmesstechnik – insbesondere auf Basis von Smartphones/Tablets verknüpft mit aktuellen Sensorlösungen – nahebringen. Anschließend werden diese zur Entwicklung eigener Fragestellungen und Durchführung von Studien im Bereich der Umweltmesstechnik angeregt. Die Methoden werden in Schülerlaboren in enger Zusammenarbeit zwischen Fachwissenschaftlern, Fachdidaktikern und Lehrkräften entwickelt und erprobt sowie schließlich über Schülerforschungszentren und Einbettung in den Schulunterricht einem größeren Kreis zugänglich gemacht.
For english see below
Der Lehrstuhl für Messtechnik bzw. die AG Messtechnik am ZeMA - Zentrum für Mechatronik und Automatisierungstechnik gGmbH präsentieren drei aktuelle Forschungsergebnise auf der Hannover Messe 2017 vom 24.-28. April.
Die innovativen Lösungen für die Überwachung der Ölqualität, für das Condition Monitoring komplexer Maschinen und Anlagen sowie für neuartige, hochempfindliche Detektoren für die Gaschromatographie werden präsentiert auf dem saarländischen Gemeinschaftsstand in der Forschungshalle 2, Stand B46.
Nähere Informationen entnehmen Sie bitte den folgenden Pressemitteilungen:
Zudem trägt Nikolai Helwig im Forum Industrial Automation vor:
Smarte Zustandsbewertung: Was Sensorsignal-Muster über Maschinenzustände verraten
Montag, 24. April, 10:20 - 10:40 Uhr
The Lab for Measurement Technology and the Measurement Science Goup at ZeMA (Centre for Mechatronics and Automation gGmbH) will present three project results at Hannover Fair 2017 from April 24 to 28..
The innovative Solutions for monitoring of oil quality in CHP systems, for condition monitoring of complex machinery and for novel, highly sensitive detectors for (portable) gas chromatographs are presented on the Saarland booth in hall 2, stand B46.
For further information, please check the following press releases:
Our EU project SENSIndoor "Nanotechnology based intelligent multi-sensor system with selective pre-concentration for indoor air quality control" is featured by CORDIS, the Community Research and Development Information Service.
The SENSIndoor results are shown in brief highlighting the projects contribution to improved Indoor Air Quality, contributing to both the health and security of EU citizens as well as ensuring greater comfort in the home and workplace.
