Digitization of chemical process flow diagrams using deep convolutional neural networks

Digitization of chemical process flow diagrams using deep convolutional neural networks

Advances in deep convolutional neural networks led to breakthroughs in many computer vision applications. In chemical engineering, a number of tools have been developed for the digitization of Process and Instrumentation Diagrams. However, there is no framework for the digitization of process flow d...

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Bibliographic Details
Main Authors: Maximilian F. Theisen, Kenji Nishizaki Flores, Lukas Schulze Balhorn, Artur M. Schweidtmann
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Digital Chemical Engineering
Subjects:
Process flow diagrams (PFD)
Flowsheet digitization
Object detection
Digitalization
Machine learning
Deep convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2772508122000631

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http://www.sciencedirect.com/science/article/pii/S2772508122000631

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