한국군사과학기술학회지 (Journal of the Korea Institute of Military Science and Technology)

  • 제25권5호
  • /
  • Pages.513-521
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  • 2022
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  • 1598-9127(pISSN)
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  • 2636-0640(eISSN)
한국군사과학기술학회 (The Korea Institute of Military Science and Technology)
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지상 전술 제대 인공지능 아키텍처 모델

An Architecture Model on Artificial Intelligence for Ground Tactical Echelons

  • 김준성 (아주대학교 국방 디지털융합과) ;
  • 박상철 (아주대학교 산업공학과)
  • Kim, Jun Sung (Department of Military Digital Convergence, Ajou University) ;
  • Park, Sang Chul (Department of Industrial Engineering, Ajou University)
  • 투고 : 2022.05.24
  • 심사 : 2022.09.16
  • 발행 : 2022.10.05
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초록

This study deals with an AI architecture model for collecting battlefield data using the tactical C4I system. Based on this model, the artificial staff can be utilized in tactical echelon. In the current structure of the Army's tactical C4I system, Servers are operated by brigade level and above and divided into an active and a standby server. In this C4I system structure, the AI server must also be installed in each unit and must be switched when the C4I server is switched. The tactical C4I system operates a server(DB) for each unit, so data matching is partially delayed or some data is not matched in the inter-working process between servers. To solve these issues, this study presents an operation concept so that all of alternate server can be integrated based on virtualization technology, which is used as an source data for AI Meta DB. In doing so, this study can provide criteria for the AI architectural model of the ground tactical echelon.

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과제정보

본 연구는 한국연구재단(NRF-2020R1A2C1004544)과 정보통신기획평가원(IITP-2021000292)의 지원을 받아 수행한 연구 과제입니다.

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