Author:
Schütze Andreas,Helwig Nikolai,Schneider Tizian
Abstract
Abstract. “Industrie 4.0” or the Industrial Internet of Things (IIoT) are two terms
for the current (r)evolution seen in industrial automation and control.
Everything is getting smarter and data generated at all levels of the
production process are used to improve product quality, flexibility, and
productivity. This would not be possible without smart sensors, which
generate the data and allow further functionality from self-monitoring and
self-configuration to condition monitoring of complex processes. In analogy
to Industry 4.0, the development of sensors has undergone distinctive stages
culminating in today's smart sensors or “Sensor 4.0”. This paper briefly
reviews the development of sensor technology over the last 2 centuries,
highlights some of the potential that can be achieved with smart sensors and
data evaluation, and discusses success requirements for future developments.
In addition to magnetic sensor technologies which allow self-test and
self-calibration and can contribute to many applications due to their wide
spectrum of measured quantities, the paper discusses condition monitoring as
a primary paradigm for introducing smart sensors and data analysis in
manufacturing processes based on two projects performed in our group.
Subject
Electrical and Electronic Engineering,Instrumentation
Reference42 articles.
1. Akmal Johar, M. and König, A.: Case Study of an Intelligent AMR Sensor System with Self-x Properties, in: Soft Computing in Industrial Applications, edited by: Gaspar-Cunha, A., Takahashi, R., Schäfer, G., and Costa, L., Springer, Berlin Heidelberg, 337–346, https://doi.org/10.1007/978-3-642-20505-7_30, 2011.
2. AMA Association for Sensors and Measurement (AMA Verband für Sensorik und Messtechnik e.V., originally Arbeitsgemeinschaft Messwertaufnehmer), available at: http://ama-sensorik.de/en, last access: 10 March 2018.
3. Arnold, H.: Kommentar Industrie 4.0: Ohne Sensorsysteme geht nichts, available at: http://www.elektroniknet.de/messen-testen/sonstiges/artikel/110776/ (last access: 10 March 2018), 2014.
4. Bastuck, M., Schütze, A., and Sauerwald, T.: A new approach to self-monitoring of amperometric oxygen sensors, Sensors and Actuators B 214, 218–224, https://doi.org/10.1016/j.snb.2015.02.116, 2015.
5. Baur, T., Schütze, A., and Sauerwald, T.: Optimierung des temperaturzyklischen Betriebs von Halbleitergassensoren, Tech. Mess., 82, 187–195, https://doi.org/10.1515/teme-2014-0007, 2015.
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