260915 KOMSA AI어선안전설계데이터플랫폼 4화 진수식 송출용

Technological Concepts / Product Features Highlighted

• AI ship design platform (KIVE): An AI-based design system that generates an optimal fishing-vessel configuration by reflecting user requirements and selecting the best combination of parts.
• KIVE 3 prototype (HDP-built): A tangible, first-of-its-kind vessel built from the AI design platform using actual construction, intended to validate whether AI predictions match real-world performance.
• Modular construction + AI optimization: The prototype uses 156 modules and an AI system to compute an optimal combination, then proceeds to actual ship construction.
• CFD + AI learning loop: Performance verification at sea is not only for validation; the project uses the real ship data to train/refine the AI. It leverages CFD (computational fluid dynamics) data from the design phase to improve future accuracy.
• Eco-friendly hull quality + data-driven design: The vessel is described as combining sophisticated data design with an eco-oriented hull quality approach.

Review / Tutorial / Guide-Style Insights

Validation Methodology (Post-Launch Checks)

1. Compare predicted vs. measured basic weight (“hardened weight”).
   • If the actual constructed weight differs, speed/health/performance calculations become inaccurate.
2. On-site weight measurement result:
   • Found to be within 5% of the AI design estimate.
3. Speed trial under the same conditions used for the AI prediction:
   • AI predicted 32.2 knots max.
   • Sea trials recorded 32 knots.
4. Safety & performance verification beyond speed:
   • Stability (balance at high speed)
   • Maneuverability (sailing performance and stopping power)
   • Noise and vibration checks

Key Results / Analysis Claims

• Stability in sea conditions: The prototype reportedly feels consistently stable (less vibration/noise/tilt discomfort compared with typical fishing boats when crossing waves or maneuvering).
• Production acceleration via blueprint precision:
  • By using KIVE blueprints, the team reduced redesign/modification work and shortened production time (notably addressing weight fluctuations during drying for small yarns/assembly materials).
• Most important achievement:
  • AI predictions for performance (especially speed and overall figures) are described as nearly identical to actual measured outcomes after construction/testing.
• Impact statement:
  • Fishermen are positioned to be able to build safer, verified, performance-targeted fishing boats using computer-based AI design “anytime, anywhere.”

Main Speakers / Sources (As Indicated in the Subtitles)

• Research team / design research team: Referred to throughout as the primary source conducting checks, measurements, and AI/CFD training refinement.
• AI design platform KIVE / KIVE system: The technical source for predictions and blueprint-driven design.