iFANエコシステム:先進原子力シミュレーションと運用のための統合AI・デジタルツイン・サイバーフィジカルセキュリティ・ロボティクス環境
iFAN Ecosystem: A Unified AI, Digital Twin, Cyber-Physical Security, and Robotics Environment for Advanced Nuclear Simulation and Operations
原子力施設のデジタル変革に向け、AI・デジタルツイン・サイバーフィジカルセキュリティ・ロボティクスを統合した高忠実度仮想テストベッド「iFANエコシステム」を開発し、その応用シナリオを検討した。
詳しい要約
1. どんなもの?
2. 先行研究と比べてどこがすごい?
3. 技術・手法の肝は?
4. どうやって有効だと検証した?
5. 議論はある?
6. 次に読むべき論文は?
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Youndo Do, Chad Meece, Marc Zebrowitz, Spencer Banks, Myeongjun Choi, Xiaoxu Diao, Kai Tan, Michael Doran, Jason Reed, Fan Zhang
分類: cs.RO
原文アブストラクト
As nuclear facilities experience digital transformation and advanced reactor development, AI integration, cyber-physical security, and other emerging technologies such as autonomous robot operations are increasingly developed. However, evaluation and deployment is challenged by the lack of dedicated virtual testbeds. The Immersive Framework for Advanced Nuclear (iFAN) ecosystem is developed, a comprehensive digital twin framework with a realistic 3D environment with physics-based simulations. The iFAN ecosystem serves as a high-fidelity virtual testbed for plant operation, cybersecurity, physical security, and robotic operation, as it provides real-time data exchange for pre-deployment verification. Core features include virtual reality, reinforcement learning, radiation simulation, and cyber-physical security. In addition, the paper investigates various applications through potential operational scenarios. The iFAN ecosystem provides a versatile and secure architecture for validating the next generation of autonomous and cyber-resilient nuclear operations.
