육군 미래 과학화훈련체계 구축방안 연구: 협동성․데이터․무기체계연동을 중심으로
A Study on the Development of the Future Scientific Training System for the Army: Interoperability, Data Fusion, and Weapon System Integration
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The Republic of Korea Armed Forces are implementing various scientific training systems to prepare for future warfare and are seeking advanced integration with AI - driven scientific military innovation. This study proposes the Synthetic Training Environment (STE) as a future-oriented model designed to overcome current limitations in military training. STE provides the foundation for evolving into an integrated, combined arms training system. In addition, the study introduces a data integration framework based on the Defense Training Management System (DTMS). This framework aims to standardize and unify training data across service branches, thereby enabling effective AI interoperability. Future tasks include real-time integration of synthetic and live training, 24/7 data access via the Metaverse, and the establishment of a cyclic system of learning, operation, and evolution. To that end, this research ultimately proposes the CJDSW-MST model - a comprehensive framework linking STE, DTMS, and unmanned combat systems for future-ready, intelligent military training.
Abstract
The Republic of Korea Armed Forces are implementing various scientific training systems to prepare for future warfare and are seeking advanced integration with AI - driven scientific military innovation. This study proposes the Synthetic Training Environment (STE) as a future-oriented model designed to overcome current limitations in military training. STE provides the foundation for evolving into an integrated, combined arms training system. In addition, the study introduces a data integration framework based on the Defense Training Management System (DTMS). This framework aims to standardize and unify training data across service branches, thereby enabling effective AI interoperability. Future tasks include real-time integration of synthetic and live training, 24/7 data access via the Metaverse, and the establishment of a cyclic system of learning, operation, and evolution. To that end, this research ultimately proposes the CJDSW-MST model - a comprehensive framework linking STE, DTMS, and unmanned combat systems for future-ready, intelligent military training.