43433 2017 eng lecture 0 -- -- -- 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. Monitoring specific information (i.e., “chemical” such as physico-chemical properties, chemical reactions, etc.) is the key to “chemical” process control. Here we introduce our smart online NMR sensor module provided in an explosion proof housing 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). Due to NMR spectroscopy as an “absolute analytical comparison method”, independent of the matrix, it runs with extremely short set-up times in combination with “modular” spectral models. Such models can simply be built upon pure component NMR spectra within a few hours (i.e., assignment of the NMR signals to the components) instead of tedious calibrations runs. urn:nbn:de:kobv:b43-434330 Tackling the Future of Plant Operation - Jointly towards a Digital Process Industry Barcelona, Spain 13.12.2017 14.12.2017 0 Creative Commons - Namensnennung - Nicht kommerziell - Keine Bearbeitung 3.0 Michael Maiwald eng uncontrolled Process Monitoring eng uncontrolled Smart Sensors eng uncontrolled Online NMR Spectroscopy eng uncontrolled Indirect Hard Modeling eng uncontrolled Process Analytical Technology eng uncontrolled CONSENS Analytische Chemie Datei für die Öffentlichkeit verfügbar ("Open Access") Präsentation BAM Präsentationen Bundesanstalt für Materialforschung und -prüfung (BAM) https://opus4.kobv.de/opus4-bam/files/43433/2017-12-13_CONSENS_Presentation_Maiwald_BAM_f_print.pdf