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  • Summary & Details

Improve Production Efficiency with Reduced Order Modeling─Introducing AI Utilization and MBD/MBSE Workflow Using HVAC as an Example─

モデル低次元化による生産効率改善に向けて─HVACを例題としたAI活用とMBD/MBSEワークフロー紹介─

Detailed Information

Category(J)新技術と新素材による生産・製造技術

Translation

Category(E)Production and manufacturing technology with new technologies and materials
Author(J)1) 竹下 仁士, 2) 新井 正敏
Author(E)1) Hitoshi Takeshita, 2) Masatoshi Arai
Affiliation(J)1) MathWorks Japan, 2) マレリ
Abstract(J)デジタルトランスフォーメーション(DX)において,開発現場ではより高度な仮想環境への対応が求められている.その中で,複雑化が増すシステムに対し,さらに効率的な開発手法や開発環境の整備が進められている.また,その一環として人工知能(AI)の工学分野への適用も積極的に検討されている.ここでは幅広い視点から,DXにおけるモデルベースデザイン(MBD),モデルベースシステムエンジニアリング(MBSE)について言及し,またAI活用による生産性向上について仮想ワークフローを用いて紹介する.

Translation

Abstract(E)In these days of digital transformation (DX), we are required for adapting ever-more-sophisticated virtual environments in development. In this situation, more efficient development methods and environments for ever more complex systems is being promoted. Furthermore, as a part of trend, adaptation of artificial intelligence (AI) to engineering fields is also being actively considered. Here, as an example with a wide range of perspectives, mentioning to model based design (MBD) and model based system engineering (MBSE) in DX will be given, as well as productivity improvement through AI utilization in MBD development environments with virtual workflows.

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