DADTMA: Distributed Acquisition Digital Twin Maintenance Architecture

The Department of the Navy sustainment community is urgently working to reliably and safely return assets to the field as quickly as possible.  3D scanning, including both digitization and rendering, is an emerging capability with the ability to autonomously 3D scan large platforms with the high precision to improve asset “digital twins” and locate maintenance issues that may otherwise by difficult to discern. FTL’s “DADTMA” (Distributed Acquisition Digital Twin Maintenance Architecture) is an adaptable digitization, knowledge capture, and expert system for identifying and tracking maintenance needs before they become expensive or dangerous problems. DADTMA provides rapid, hand-held, photogrammetric digitization with precision that scales gracefully with range and speed, and provides a digital twin framework that unifies many data types. Automated landmark identification algorithms and AI object recognition networks continue to work on the data at the database level, resulting in a virtualized asset that has resolution where it is needed, large spatial extent in other areas, and a semantic layer of maintenance history and metadata that unifies large digital data sets in the service of asset sustainment.