3174. AI Driven Digital Twins for Systems of Systems from Smart Cities to Industrial Automation
Invited abstract in session TD-26: Digital Twins : Sharing techniques, real cases and advice, stream Making an Impact: The Practitioners' Stream 1.
Tuesday, 14:30-16:00Room: Maurice Keyworth 1.33
Authors (first author is the speaker)
| 1. | Faiyaz Doctor
|
| Computational Intelligence Centre, School of Computer Science and Electronic Engineering |
Abstract
The term “System of Systems” (SoS) describes systems that are composed of independent or integrated constituent systems, which collaborate to contribute towards achieving operational goals. Digital Twins (DTs) are virtually created digital counterparts of a physical object, process, or service facilitating the seamless interplay between the virtual and physical systems. SoS engineering and DTs are closely related in the development of modelling and monitoring solutions for complex real-world applications acting as enablers for managing the complexity of SoS offering features such as virtual representations of physical systems, simulation, predictive analytics, and optimization through the integration of AI. This is particularly useful where multiple interacting systems need to be managed effectively in terms of their lifecycle, data sharing, modelling and integration.
This talk will introduce recent research on the interplay between both concepts looking at challenges and current trends. Case studies of DT and SoS inspired applications pertaining to weather aware traffic monitoring for smart cities, advanced integration of augmented reality and AI for manufacturing quality control, and appliance load monitoring in facilities management will be presented, opening up the possibility of new research directions.
Keywords
- Practice of OR
Status: accepted
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