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- CONSENS (6)
- Industry 4.0 (3)
- Online NMR Spectroscopy (3)
- Process Analytical Technology (3)
- Artificial Neural Networks (2)
- Cyber-Physical Systems (2)
- Mass Spectrometry (2)
- Modular Production (2)
- Nuclear Magnetic Resonance Spectroscopy (2)
- Partial Least Squares Regression (2)
- Prozessanalytik (2)
- Artificial neural networks (1)
- Benchtop NMR Spectroscopy (1)
- Betriebspunktoptimierung (1)
- Chemical Process Control (1)
- Continuous Manufacturing (1)
- Continuous processes (1)
- Cyber-physical systems (1)
- Data Fusion (1)
- Datenanalyse (1)
- Datenkonzepte (1)
- Digital Transformation (1)
- Echtzeitoptimierungsverfahren (1)
- First Principles (1)
- Indirect Hard Modeling (1)
- Indirect Hard Modelling (1)
- Industry 4.0, (1)
- Iterative real-time optimization (1)
- Mass spectrometry (1)
- Modifier adaptation (1)
- Modifier-Adaptation (1)
- Multivariate Data Analysis (1)
- NIR Spectroscopy (1)
- NMR Spectroscopy (1)
- Near Infrared Spectroscopy (1)
- Nuclear Magnetic Resonance (1)
- Nuclear magnetic resonance spectroscopy (1)
- Online NMR spectroscopy (1)
- Online-NMR-Spektroskopie (1)
- Plant-model mismatch (1)
- Process Control (1)
- Process Industry (1)
- Process analytical technology (1)
- Prozess-Steuerung (1)
- Prozessindustrie (1)
- Quantum Mechanics (1)
- Reactor control (1)
- Real-time process monitoring (1)
- Real-time quality control (1)
- Smart Sensors (1)
Organisationseinheit der BAM
- 1 Analytische Chemie; Referenzmaterialien (12) (entfernen)
Im Zuge der Digitalisierung der Prozessindustrie werden zunehmend modellbasiere Echtzeitoptimierungsverfahren eingesetzt, sog. „Advanced Process Control“. Mithilfe der sogenannten Modifier-Adaptation ist eine iterative Betriebspunktoptimierung auch mit ungenauen Modellen möglich, sofern zuverlässige Prozessdaten zur Verfügung stehen. Am Beispiel eines smarten Online-NMR-Sensors, der in einem EU-Projekt von der BAM entwickelt wurde, konnte das Konzept in einer modularen Produktionsanlage zur Herstellung eines pharmazeutischen Wirkstoffs erfolgreich getestet werden.
In case study one of the CONSENS project, two aromatic substances were coupled by a lithiation reaction, which is a prominent example in pharmaceutical industry. The two aromatic reactants (Aniline and o-FNB) were mixed with Lithium-base (LiHMDS) in a continuous modular plant to produce the desired product (Li-NDPA) and a salt (LiF). The salt precipitates which leads to the formation of particles. The feed streams were subject to variation to drive the plant to its optimum.
The uploaded data comprises the results from four days during continuous plant operation time. Each day is denoted from day 1-4 and represents the dates 2017-09-26, 2017-09-28, 2017-10-10, 2017-10-17.
In the following the contents of the files are explained.