打造核电数字孪生虚拟测试平台，支持智能运维与安全验证。
iFAN Ecosystem: A Unified AI, Digital Twin, Cyber-Physical Security, and Robotics Environment for Advanced Nuclear Simulation and Operations
- 构建融合物理仿真与虚拟现实的数字孪生环境。
- 实现核电运行、安全防护与机器人操作的实时验证。
- 适合核能智能系统研发与安全评估人员使用。
随着核电设施数字化转型和先进反应堆的发展，人工智能融合、网络物理安全及自主机器人操作等技术日益推进。然而，缺乏专用虚拟测试平台制约了评估与部署。本文提出沉浸式先进核电框架（iFAN）生态系统，是一个包含真实3D环境与物理驱动仿真的高保真数字孪生框架。iFAN作为高保真虚拟测试平台，支持电厂运行、网络安全、物理安全与机器人操作的实时数据交互与预部署验证。核心功能包括虚拟现实、强化学习、辐射模拟与网络物理安全。论文还通过多种典型运行场景探讨其应用潜力。该生态为下一代自主化与抗网络攻击的核电运营提供灵活且安全的验证架构。
原文摘要 · Abstract (English)
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.
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