Real‐Time Interactive Navigation on Input‐Output Data Sets in Chemical Processes
Marco Baldan, Patrick Otto Ludl, Philipp Süss, Dominik Schack, Robin Schmidt, Michael L. Bortz · Chemie Ingenieur Technik · 2023
Abstract Input‐output data sets are ubiquitous in chemical process engineering. We introduce a real‐time interactive navigation framework that provides several capabilities to the decision maker (DM). Once a surrogate model is trained the DM can perform what‐if analyses in both input and output spaces by manipulating sliders. An approximated convex hull spanned in the input space supports both a reliable surrogate prediction and a navigation close to the data set. The framework has been tested on data sets obtained with a flowsheet simulator modeling a real steam methane reforming process.