Digital Twin Technology for Naval Maintenance Training and Operations

Qualified technical personnel are the backbone of supporting and maintaining readiness aboard Navy ships. Their ability to diagnose and address issues begins with having the expertise necessary to service their tasked systems. The advent of small scale, low-cost Internet of Things (IoT) technologies has spring-boarded the accumulation of massive amounts of data used to assist in the modeling of processes and the diagnosis of problems. There is an opportunity to address the gaps in current IoT technology with the creation and integration of a digital twin system that can relay and analyze data to enable efficient repair, as well as utilize the data to feed situational training scenario creation mirroring the reality of the physical systems on the ship. DI proposes RUDDER (Rapid Unification of Digital Data for Enterprise Readiness), an AR-based system that utilizes digital twin and AI technology and leverages DI’s MASTER pedagogy to generate and prioritize simulation-based training scenario content that is relevant and timely based on ship state and presented given the expertise level of the maintainer. It will also leverage the EXTRACT knowledge elicitation process developed under the MASTER effort to supplement the system knowledge of the digital twin with the tacit knowledge of experts.