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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 will simplify their use and enable plug-and-play integration, even though they may appear to be more complex at first sight. This is particularly important for concepts like self-diagnostics, self-calibration and self-configuration/parameterization. Intelligent field devices as parts of digital field networks, Inter-net Protocol (IP)-based connectivity and web interfaces, as well as advanced data analysis soft-ware will provide the basis for future projects like Industrie 4.0, Factory of the Future, or Industrial Internet of Things (IIoT). The talk summarizes the currently discussed general requirements for process sensors 4.0 and introduces an online NMR sensor as example. This sensor was developed to provide integrated control and sensing for sustainable operation of flexible intensified processes (CONSENS) funded by theThe departure from the current automation landscape to next generation automation concepts for the process industry has already begun. Smart functions of sensors will simplify their use and enable plug-and-play integration, even though they may appear to be more complex at first sight. This is particularly important for concepts like self-diagnostics, self-calibration and self-configuration/parameterization. Intelligent field devices as parts of digital field networks, Inter-net Protocol (IP)-based connectivity and web interfaces, as well as advanced data analysis soft-ware will provide the basis for future projects like Industrie 4.0, Factory of the Future, or Industrial Internet of Things (IIoT). The talk summarizes the currently discussed general requirements for process sensors 4.0 and introduces an online NMR sensor as example. This sensor was developed to provide integrated control and sensing for sustainable operation of flexible intensified processes (CONSENS) funded by the European Union’s Horizon 2020 research and innovation programme.…
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| Autor*innen: | Michael MaiwaldORCiD |
|---|---|
| Koautor*innen: | Patrick Gräßer, Lukas Wander, Nicolai Zientek, Svetlana Guhl, Klas Meyer, Simon Kern |
| Dokumenttyp: | Vortrag |
| Veröffentlichungsform: | Präsentation |
| Sprache: | Englisch |
| Jahr der Erstveröffentlichung: | 2017 |
| Veröffentlichende Institution: | Bundesanstalt für Materialforschung und -prüfung (BAM) |
| DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
| Freie Schlagwörter: | Eurosensors; Indirect Hard Modeling; Industrie 4.0; Online NMR Spectroscopy; Process Monitoring; Smart Sensors |
| Veranstaltung: | Eurosensors 2017 Conference |
| Veranstaltungsort: | Paris, France |
| Beginndatum der Veranstaltung: | 03.09.2017 |
| Enddatum der Veranstaltung: | 06.09.2017 |
| URN: | urn:nbn:de:kobv:b43-418271 |
| URL: | http://www.eurosensors2017.eu/ |
| Verfügbarkeit des Dokuments: | Datei für die Öffentlichkeit verfügbar ("Open Access") |
| Lizenz (Deutsch): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
| Datum der Freischaltung: | 04.09.2017 |
| Referierte Publikation: | Nein |
| Eingeladener Vortrag: | Nein |
| Schriftenreihen ohne Nummerierung: | BAM Präsentationen |
