Smart Electronic System Visualization to Support Depot Sustainment of USAF Systems

OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Advanced Computing and Software; Integrated Sensing and Cyber; Trusted AI and Autonomy; Sustainment & Logistics The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. OBJECTIVE: develop an electrical system digital twin (immediate circuit rendering) enabling dynamic electrical system navigation, inspection, documentation, and debug capabilities. DESCRIPTION: To meet the above objective, the project shall develop an online visualization and debugging solution which renders circuit schematics, wiring harnesses, and component attributes specific to individual development and maintenance situations. The technology here should be capable of taking original electronic computer aided design (ECAD) data, Excel tables, or proprietary data as input, then autonomously render and explore schematics, thereby allowing complex systems to be easily and quickly understood. The technology should allow for Google-style live search features allowing for precise information to be extracted from large data files and displayed in an easy-to-understand fashion. The technology developed here should allow for views to be modified and transformed as users operate the system, with important information displayed on the schematic in real time. The technology here should also highlight key data to accelerate development and debug capabilities. PHASE I: FEASABILITY DOCUMENTATION. For this Direct-to-Phase II topic, evaluators are expecting that the submittal firm demonstrate the ability to render online visualization and debugging platforms depicting or representing circuit schematics, wiring harnesses, and component attributes specific to electronic maintenance situations. Evaluators are expecting that the submittal firm demonstrate understanding of electronic maintenance environments and workloads. PHASE II: Develop technology for electrical system digital twin (immediate circuit rendering) generation enabling dynamic electrical system navigation, inspection, documentation, and debugging operation. Technology should be able to utilize existing technical order documentation to transform products into interactive versions at no cost to legacy data owners. Technology should allow for cloud based interface to be used without modification to existing technical data. Technology should provide for unique Google-style live search and show for easy debugging of electrical systems. PHASE III DUAL USE APPLICATIONS: If the Phase II is successful in developing the technology, transition technology wherever beneficial and of net present value into Air Force and other government electronic maintenance groups and related environments. REFERENCES: 1. Gan, Xing, Zaibao Xiong, Shaofei Du, Zhongcheng Wu, Xiaohong Geng, and Yu Gao. "Three-dimensional visualization of secondary system based on digital twin." In Journal of Physics: Conference Series, vol. 1983, no. 1, p. 012072. IOP Publishing, 2021. 2. Liu, Weixian, Xuhui Li, Zifan Shen, and Cunbao Ma. "A digital twin method for civil aircraft power distribution system based on Unity3D and Simulink." In Journal of Physics: Conference Series, vol. 2615, no. 1, p. 012017. IOP Publishing, 2023. 3. L. Li, S. Aslam, A. Wileman and S. Perinpanayagam, "Digital Twin in Aerospace Industry: A Gentle Introduction," in IEEE Access, vol. 10, pp. 9543-9562, 2022, doi: 10.1109/ACCESS.2021.3136458. keywords: {Digital twin;Computational modeling;Aerospace industry;Atmospheric modeling;Aircraft;Sensors;Analytical models;Digital twins;aircraft operation and maintenance;aerospace manufacturing}, 4. Turco, Lorenzo, Junjie Zhao, Yan Xu, and Antonios Tsourdos. "A Study on Co-simulation Digital Twin with MATLAB and AirSim for Future Advanced Air Mobility." In 2024 IEEE Aerospace Conference, pp. 1-18. IEEE, 2024. 5. Dong Zhong, Zhelei Xia, Yian Zhu, Junhua Duan, Overview of predictive maintenance based on digital twin technology. Heliyon, Volume 9, Issue 4, 2023, e14534, ISSN 2405-8440 KEYWORDS: Digital Twin; Schematic; interactive