(155b) Benefits of Combining Digital Twins with AI/ML
AIChE Spring Meeting and Global Congress on Process Safety
Wednesday, April 13, 2022 - 8:30am to 8:55am
With the dramatic advancement in modern communications, compared to those that existed over 50 years ago, âDigital Twinâ paired with advancements in AI and ML (Deep Learning) is an increasingly valuable tool for transforming a wide range of industrial operations to a âhigh fidelityâ profile. The digital twin, provides âreal-timeâ profile of the asset or process of an entire plant or part of the critical operations of a plant. It provides insights on performance across all aspects of the process â operations, reliability, environmental performance, and maintenance, to name a few life-cycle performance items.
By pairing a digital twin with AI/ML, insights through predictions and rule-based prescriptive advice are provided. Performance optimization potential is determined and the changes needed to reach the optimized state can be defined. And, in all cases, the science (i.e. the digital twin) explains the data. However instead of having a descriptive tool that must be physically manipulated for diagnostic and predictive purposes, real time prescriptive and predictive advice is being provided at the operations level.
The challenges of combining a âhigh-fidelityâ Digital Twin of an asset with AI/ML and successful use-cases will be presented.