AI-based Naval Combat System Device and its Implementation Method

Reinforcement Learning-based Naval Combat System Technology Integrating Tactical, Platform, and Weapon Control

This technology relates to a naval combat system device and its implementation method for controlling the combat operations of a naval vessel based on artificial intelligence. Specifically, it is a technology that processes reinforcement learning-based tactical and combat execution phases by linking sensors, consoles, platform equipment, and weapon systems with a system cabinet.

Existing naval combat systems faced challenges in providing quick and consistent judgments in complex combat situations when sensor information, platform control, weapon control, and tactical recommendations were operated separately. To address this, this technology proposes a method that integrates simulation data-based learning and combat execution algorithms by configuring sensor interface modules, multi-functional console modules, platform interface modules, weapon interface modules, and a system cabinet.

Accordingly, this technology can link AI-based tactical recommendations with equipment control during detection, control, and engagement processes, which is expected to have ripple effects in naval vessel operation automation, combat system advancement, and virtual training-linked defense systems.

Key Features

• Integrates and links naval sensors, operator consoles, platform equipment, and weapon systems with the combat system device.
• Utilizes reinforcement learning-based combat execution algorithms to generate tactical and operational directives.
• Utilizes simulation data to learn and optimize combat performance ranges and control variables.
• Applicable to naval combat system automation, virtual training linkage, and defense system advancement.