Strangers in the Night—Smart Process Sensors in Our Current Automation Landscape
| Autor: | Simon Kern, Nicolai Zientek, Klas Meyer, Patrick Gräßer, Michael Maiwald, Lukas Wander, Svetlana Guhl |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Industry 4.0 intensified processes Process (engineering) 020209 energy lcsh:A 02 engineering and technology 7. Clean energy 01 natural sciences NMR spectroscopy sustainable production 0202 electrical engineering electronic engineering information engineering continuous manufacturing Simulation reaction monitoring business.industry 010401 analytical chemistry Continuous manufacturing Industrial Internet of Things (IIoT) Automation 0104 chemical sciences Sight smart sensors Systems engineering Process industry Sustainable production lcsh:General Works business |
| Zdroj: | Proceedings Proceedings, Vol 1, Iss 4, p 628 (2017) |
| ISSN: | 2504-3900 |
| DOI: | 10.3390/proceedings1040628 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|