Strangers in the Night—Smart Process Sensors in Our Current Automation Landscape
The departure from the current automation landscape to next generation automation concepts for the process industry has already begun. Smart functions of sensors simplify their use and enable plug-and-play integration, even though they may appear to be more complex at first sight. Smart sensors enab...
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doaj-c805fded05c347bba126146c003bfddc2020-11-25T00:53:32ZengMDPI AGProceedings2504-39002017-08-011462810.3390/proceedings1040628proceedings1040628Strangers in the Night—Smart Process Sensors in Our Current Automation LandscapeMichael Maiwald0Patrick Gräßer1Lukas Wander2Nicolai Zientek3Svetlana Guhl4Klas Meyer5Simon Kern6Bundesanstalt für Materialforschung und -prüfung (BAM), 12489 Berlin, GermanyBundesanstalt für Materialforschung und -prüfung (BAM), 12489 Berlin, GermanyBundesanstalt für Materialforschung und -prüfung (BAM), 12489 Berlin, GermanyBundesanstalt für Materialforschung und -prüfung (BAM), 12489 Berlin, GermanyBundesanstalt für Materialforschung und -prüfung (BAM), 12489 Berlin, GermanyBundesanstalt für Materialforschung und -prüfung (BAM), 12489 Berlin, GermanyBundesanstalt für Materialforschung und -prüfung (BAM), 12489 Berlin, GermanyThe departure from the current automation landscape to next generation automation concepts for the process industry has already begun. Smart functions of sensors simplify their use and enable plug-and-play integration, even though they may appear to be more complex at first sight. Smart sensors enable concepts like self-diagnostics, self-calibration, and self-configuration/parameterization whenever our current automation landscape allows it. Here we summarize the currently discussed general requirements for process sensors 4.0 and introduce a smart online NMR sensor module as example, which was developed for an intensified industrial process funded by the EU’s Horizon 2020 research and innovation programme (www.consens-spire.eu).https://www.mdpi.com/2504-3900/1/4/628smart sensorsintensified processessustainable productionreaction monitoringNMR spectroscopyIndustry 4.0Industrial Internet of Things (IIoT)continuous manufacturing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Michael Maiwald Patrick Gräßer Lukas Wander Nicolai Zientek Svetlana Guhl Klas Meyer Simon Kern |
spellingShingle |
Michael Maiwald Patrick Gräßer Lukas Wander Nicolai Zientek Svetlana Guhl Klas Meyer Simon Kern Strangers in the Night—Smart Process Sensors in Our Current Automation Landscape Proceedings smart sensors intensified processes sustainable production reaction monitoring NMR spectroscopy Industry 4.0 Industrial Internet of Things (IIoT) continuous manufacturing |
author_facet |
Michael Maiwald Patrick Gräßer Lukas Wander Nicolai Zientek Svetlana Guhl Klas Meyer Simon Kern |
author_sort |
Michael Maiwald |
title |
Strangers in the Night—Smart Process Sensors in Our Current Automation Landscape |
title_short |
Strangers in the Night—Smart Process Sensors in Our Current Automation Landscape |
title_full |
Strangers in the Night—Smart Process Sensors in Our Current Automation Landscape |
title_fullStr |
Strangers in the Night—Smart Process Sensors in Our Current Automation Landscape |
title_full_unstemmed |
Strangers in the Night—Smart Process Sensors in Our Current Automation Landscape |
title_sort |
strangers in the night—smart process sensors in our current automation landscape |
publisher |
MDPI AG |
series |
Proceedings |
issn |
2504-3900 |
publishDate |
2017-08-01 |
description |
The departure from the current automation landscape to next generation automation concepts for the process industry has already begun. Smart functions of sensors simplify their use and enable plug-and-play integration, even though they may appear to be more complex at first sight. Smart sensors enable concepts like self-diagnostics, self-calibration, and self-configuration/parameterization whenever our current automation landscape allows it. Here we summarize the currently discussed general requirements for process sensors 4.0 and introduce a smart online NMR sensor module as example, which was developed for an intensified industrial process funded by the EU’s Horizon 2020 research and innovation programme (www.consens-spire.eu). |
topic |
smart sensors intensified processes sustainable production reaction monitoring NMR spectroscopy Industry 4.0 Industrial Internet of Things (IIoT) continuous manufacturing |
url |
https://www.mdpi.com/2504-3900/1/4/628 |
work_keys_str_mv |
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