효율적인 해양 유·무인 복합전투체계 운용을 위한 인공지능 기반 무인체계 정비개념에 관한 연구

홍창우¹^{, *} ; 백현민²

1해군 소령/미 해군사관학교 전기컴퓨터공학과 교환교수
2해군 중령/해군본부 총수명주기관리과 정비정책제도담당

A Study of the Concept of AI-based Unmanned System Maintenance for the Efficient Operation of Naval Manned-unmanned Teaming

Chang Woo Hong¹^{, *} ; Hyun Min Baek²

1LCDR, ROK Navy/Exchange professor, Dept. of Electric Computer Engineering, United States Naval Academy
2CDR/MRO officer, Total Life Cycle Support Branch, ROK Navy HQ

Correspondence to: ^*Chang Woo Hong Dept. of Electric Computer Engineering, United States Naval Academy 597 McNair Rd, Naval Academy, MD 21402, US Tel: +1-410-293-6180 E-mail: chong@usna.edu

초록

대한민국 해군은 USV, UUV, UAV, 그리고 유인 전력으로 구성된 유·무인 복합체계(MUM-T)을 발전시키고 있다. 이를 위한 핵심 기술인 인공지능과 지휘통제기술(C2)이 민간 기업과 연구소를 중심으로 빠르게 발전하고 있다. 하지만 MUM-T의 효율적인 운영을 위해서는 정비개념의 수립이 필수적이다. 본 연구에서는 인공지능 기반 무인체계 정비 개념과 원격 정비를 제안한다. 특히 이상 탐지, RUL 예측, 설명 가능 인공지능 기술, 그리고 원격 정비를 기반으로 한 무인체계 정비 개념을 통해 MUM-T의 효율적인 운영이 가능할 것이라고 제안한다.

Abstract

The Republic of Korea Navy is developing a manned-unmanned teaming (MUM-T) consisting of USV, UUV, UAV, and manned forces. For the future development of the Navy, the development of manned-unmanned combined combat systems is in full swing, and artificial intelligence and command and control technology (C2), which are core technologies for this, are rapidly developing around private companies and research institutes. However, maintenance is technical fields that should not be overlooked for the efficient operation of MUM-T. This study proposes the concept of unmanned system maintenance based on artificial intelligence and remote maintenance. In particular, it will be possible to efficiently operate MUM-T through the concept of unmanned system maintenance based on anomaly detection, RUL prognosis, explainable artificial intelligence technology and remote maintenance.

Keywords:

Artificial intelligence, Maintenance Concept, Naval Manned-unmanned Teaming, Remote Maintenance, Unmanned System

키워드:

인공지능, 정비개념, 해양 유·무인 복합전투체계, 원격정비, 무인체계

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