Exploration of Algorithms and Frameworks for Surface Platform Digital Twins
Abstract
A digital twin extends ONR-supported platform simulation algorithms to provide time-and-placespecific mission guidance for deployed" platforms. A surface platform digital twin would combine existing ONR and Navy investments in environmental sensing, platform model""ing, communication and electromagnetic spectrum dominance to provide a unique warfightingadvantage not available to other nations w""ho lack this integrated set of sensing, communication, and modeling capabilities. A digital twin consists of a virtual model of a wo""rking platform simulated in a virtual environment. With the necessary linking information, the twin can be usedto not only predict"" operational performance, but also improve scheduling and maintenance for existing vessels. However, to realize such a twin, fundame""ntal research is required in methods to compare, link, and fuse numerical predictions, real-world measurements, and model-scale expe"riments. This proposal outlines the technical background and an approach to developing atwin to improve a surface platforms operabi"lity, scheduling, and performance in the real-world.Underlying technical issues associated with the twin concept and their associat"ed research needsare also addressed through an incremental exploration plan.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 29, 2017
- Source ID
- N000141712982
Entities
People
- Matthew Collette
Organizations
- Board of Regents of the University of Michigan
- Office of Naval Research
- United States Navy