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
ASIC, the Air Sensors International Conference, will take place in Pasadena, USA from May 11 to 13.
ASIC will bring together stakeholders from academia, government, communities, and commercial interests to promote and advance air pollution sensors, improve the data quality from these sensors, expand the pollutants measured, and foster community involvement in monitoring air quality.
Hosted by the University of California, Air Quality Research Center.
LMT will present several contributions in this conference, mainly in session 4C: Indoor Sensing for Air Quality Control and Ventilation Applications (May 12):
Johannes Amann, Tobias Baur, Caroline Schultealbert, Christian Bur, Andreas Schütze:
Low-cost high-performance VOC sensor systems: comparison with analytical measurements and long-term stability
oral presentation
Christian Bur, Tobias Baur, Johannes Amann, Christian Meyer, Andreas Schütze:
Standardized test instructions and test gases for VOC detectors for indoor air quality measurement
oral presentation
Johannes Amann, Tobias Baur, Christian Fuchs, Christian Bur, Andreas Schütze:
Sensor Control - a versatile platform for high-performance, low-cost AQ multisensor systems
poster presentation
The more accurate and reliable measured data are, the better is the opportunity to control and to advance the corresponding processes and products.
Appropriate metrology regulations, sophisticated measurement science and highly specialised sensors for the instrumentation of every possible process for monitoring our health and our environment are essential for relevant topics today, such as the Industrial Internet and the Internet of Things.
The SMSI brings scientists and researchers from all concerned scientific fields together to secure the success of these ideas in the future.
Unique event in Europe - a showcase for industrial applications, advances in R&D and prospects dedicated to measurements, analysis and testing processes.
The second edition of the Conference on Societal Automation will attempt to look in a holistic way at the Societal Automation domain in order to try to determine what solutions, technologies, architectural frameworks, and design tools are going to be needed in the design, development and deployment of future human-centered life-quality improving solutions and systems such as Cities of the Future, as well as economic aspects of innovation and new technology development.
Please take a look at Track T5: Sensors in Societal Automation:
https://sac2020.org/tracks-topics
Track chairs:
Sensor topics include the following:
Just published:
Indoor air quality is a major public health concern with an estimated half million premature deaths caused annually in Europe alone. Conventional methods of indoor air quality measurements using analytical standards have multiple shortcomings. First, they do not allow continuous monitoring due to their high costs. Second, they predominantly measure nonpolar volatile organic compounds and are often neglecting permanent gases, very volatile, low volatile, and polar compounds. Low-cost sensors and sensor systems based on nanomaterials are an obvious supplement to the existing methods, which can measure continuously and cover a broad range of substances. Metal oxide semiconductor gas sensors can meet the requirements in sensitivity, selectivity, and stability, especially when used with dynamic operation, for example, temperature-cycled operation. The required sensitive sensors with short thermal time constants can be obtained by novel deposition methods for thin granular oxide films using pulsed laser deposition or flame spray pyrolysis. The quality of the measurement, especially concerning selectivity between VOC and permanent gases, can be improved further by integrated sensor preconcentrator systems, which have been demonstrated as low-cost system without mechanical actuators. The high relevance of IAQ measurements has been the driving force for the development of a new generation of digital gas sensors from various manufacturers, which have been released within the last few years.
Just published ahead of print:
Semiconductor gas sensors not only offer high sensitivity and robust long-term performance but also suffer from poor selectivity. A powerful approach to improve selectivity is based on dynamic operation. The most relevant and widely studied method is temperature modulation which can be applied to metal oxide semiconductor (MOS) gas sensors, pellistor-type sensors, and gas-sensitive field-effect transistors (GasFETs). Other dynamic operating modes are based on field effect/polarization and on optical excitation. All methods change the equilibrium on the sensor surface and thus provide additional information especially during nonequilibrium states. The generic term dynamic operation implies the active variation of a control parameter by the sensor electronics allowing application-specific optimization of the sensor system performance. This chapter discusses dynamic operating modes for MOS and GasFET sensors to show that not only selectivity can be improved but that stability and even sensitivity benefit from this approach.