09.30 – 10.00 uur
Generative Artificial Intelligence (GenAI) has achieved groundbreaking success in domains like computer vision and strategy games, often surpassing human performance. However, its adoption in the process industries remains limited despite immense potential. This presentation focuses on developing GenAI for process engineering. It begins by introducing an AI software tool for digitizing legacy flowsheets, including Process Flow Diagrams (PFDs) and Piping and Instrumentation Diagrams (P&IDs) (https://www.digitization-companion.com). Then, I will highlight innovative AI-driven solutions tailored to process engineering and operations, such as P&ID autocompletion, automated PFD-to-P&ID translation, P&ID error correction, and AI-assisted HAZOPs. The presentation concludes with real-world examples drawn from collaborative research projects with industry partners, showcasing the practical impact of these advancements.
About the speaker
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Artur M. Schweidtmann is a assistant professor for chemical engineering at Delft University of Technology. His research focuses on the combination of artificial intelligence (AI) and chemical engineering. He received his Master of Science from RWTH Aachen University in 2017 and defended his Ph.D. from RWTH in 2021, both in Chemical Engineering. During his studies, he spent the academic year 2013/2014 at Carnegie Mellon University as a visiting student. He performed his Master thesis at the University of Cambridge. In 2024, he received W. David Smith Graduate Publication Award from AIChE and the Senior Moulton medal from IChemE. |
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English (UK)