Data Management Tools for Data Coordination and Enhanced Decision Making

CBM+, Digital Twin, and Digital Thread initiatives within the Air Force seek to reduce maintenance cost and time, improve the availability of aircraft, and enable a better understanding of the state of an aircraft. This drives the ability to make better maintenance and sustainment decisions. This improvement in decision making is being realized in the effort to transition from fixed maintenance intervals based upon worst case scenarios to aircraft-specific tailored sustainment. To accomplish this, however, sustaining engineers need to have as much information as possible about the state of a particular aircraft. The Advanced Robotic Laser Coating Removal System (ARLCRS) generates data that would be of interest to sustainment engineering. Etegent's NLign is well suited to align, store, visualize, and analyze this data.In this Phase 2 effort, Etegent Technologies and Titan Robotics raise the capability demonstrated in Phase 1 to TRL 7. A Platform IT interconnect will be sought to facilitate automated data transfer. Enhancements will be made to NLign to support additional ARLCRS data types and engineering use cases of the data. The ARLCRS will be enhanced to possess an export capability. The data formats and data transfer process between NLign and the ARLCRS will formalized.