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| Journal of the KNST - Vol. 8, No. 2, pp. 188-202 | |
| Abbreviation: KNST | |
| ISSN: 2635-4926 (Print) | |
| Print publication date 30 Jun 2025 | |
| Received 02 May 2025 Revised 12 May 2025 Accepted 25 Jun 2025 | |
| DOI: https://doi.org/10.31818/JKNST.2025.6.8.2.188 | |
| 해군 함정 운용 지원을 위한 ECS/CMS 통합 분석 플랫폼 개발 및 시험 적용 | |
| 1한양대학교 산업경영공학과 석사과정 | |
| 2한양대학교 산업경영공학과 박사과정 | |
| 3한화오션 방산기술연구센터 책임연구원 | |
| 4해군 중령/합동참모본부 분석실험실 제2전력분석과 해상/수중전력분석담당 | |
| 5한양대학교 ERICA 산업경영공학과 부교수 | |
Development and Pilot Application of an Integrated Analysis Platform for ECS/CMS Data in Naval Operations Support | |
| 1M.S. student, Dept. of Industrial Management Engineering, Hanyang University | |
| 2Ph.D. candidate, Dept. of Industrial Management Engineering, Hanyang University | |
| 3Principal researcher, Defense Technology R&D Center, Hanwha Ocean | |
| 4CDR R.O.K. Navy/Maritime/Underwater Forces Analyst, 2nd Military Forces Analysis Division, Joint Analysis and Experiment Center, ROK Joint Chiefs of Staff | |
| 5Associate professor, Dept. of Industrial Management Engineering, Hanyang University ERICA | |
| Correspondence to : *Kyung-Min Seo Dept. of Industrial Management Engineering, Hanyang University ERICA 55 Hanyangdeahak-ro, Sangnok-gu, Ansan-si, Gyeonggi-do, 15588, Korea Tel: +82-31-400-5262 E-mail: kmseo@hanyang.ac.kr | |
Ⓒ 2025 Korea Society for Naval Science & Technology | |
Funding Information ▼ | |
본 연구는 함정의 통합기관제어체계(ECS)와 전투관리체계(CMS) 데이터를 통합 수집·분석하여 보다 효과적인 의사결정 지원이 가능한 플랫폼을 제안한다. 제안 시스템은 ECS 기반 서비스(항해 상태, 추진 상태, 전력 사용 분석)와 CMS 기반 서비스(탐지 성능 예측, A* 알고리즘 기반 항로 추천)를 제공한다. 특히, 제안 시스템은 클라우드 기반 분산 아키텍처로 설계되어 함정 내 어느 위치에서든 통합 데이터에 접근 가능하다. 실제 해군 함정 시범 적용 결과, 통합 분석 및 직관적 시각화를 통해 운용자의 신속하고 정확한 의사결정을 효과적으로 지원함을 확인하였다.
Modern naval platforms operate Engineering Control Systems (ECS) and Combat Management Systems (CMS) on separate networks, limiting integrated decision-making. This study proposes a decision support platform that integrates ECS and CMS data for unified collection, analysis, and visualization. Core services include ECS-based functions (navigation status, propulsion monitoring, power usage analysis) and CMS-based functions (detection performance prediction, route recommendation via the A* algorithm). The proposed system adopts a cloud-based distributed architecture, enabling seamless data access from any location on the vessel. A pilot application on a naval vessel demonstrated improved decision-making through integrated analysis and intuitive visualization.
| Keywords: Naval Decision Support, Engineering Control System, Combat Management Systems, Integrated Data Analysis, Detection Performance Prediction 키워드: 해군 의사결정 지원, 공학 제어 시스템, 전투 관리 시스템, 통합 데이터 분석, 탐지 성능 예측 |
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이 논문은 2021년 정부(방위사업청)의 재원으로 국방신속획득기술연구원의 지원을 받아 수행된 연구임. (2021U335015, 함정 데이터 융합 의사결정 지원체계).
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