Artificial Intelligence in Process Engineering. (24th March 2021)

• Record Type: Journal Article
• Authors: Thon, Christoph; Finke, Benedikt; Kwade, Arno; Schilde, Carsten
• Is Part Of: Advanced intelligent systems. Volume 3:Number 6(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-03-24
• Subjects: artificial intelligence -- hybrid modeling -- mechanistic modeling -- predictive modeling -- process engineering; Artificial intelligence -- Periodicals; Robotics -- Periodicals; Control theory -- Periodicals; 006.3
• DOI: 10.1002/aisy.202000261
• Languages: English
• ISSNs: 2640-4567

Abstract

Abstract : In recent years, the field of Artificial Intelligence (AI) is experiencing a boom, caused by recent breakthroughs in computing power, AI techniques, and software architectures. Among the many fields being impacted by this paradigm shift, process engineering has experienced the benefits caused by AI. However, the published methods and applications in process engineering are diverse, and there is still much unexploited potential. Herein, the goal of providing a systematic overview of the current state of AI and its applications in process engineering is discussed. Current applications are described and classified according to a broader systematic. Current techniques, types of AI as well as pre‐ and postprocessing will be examined similarly and assigned to the previously discussed applications. Given the importance of mechanistic models in process engineering as opposed to the pure black box nature of most of AI, reverse engineering strategies as well as hybrid modeling will be highlighted. Furthermore, a holistic strategy will be formulated for the application of the current state of AI in process engineering. Abstract : Herein, main applications of AI in process engineering are classified. The current state of the art in AI with regard to process engineering examples is presented. Accompanying steps are investigated as are successive steps to break down in‐transparent AI models to mechanistic models. Finally, an overall strategy for the application of AI in process engineering is formulated.