融和核能与人工智能_助力能源技术发展_13页_2mb

报告摘要

AI offers significant potential across nuclear technology, energy, and medicine.
Key applications include AI-supported design, construction risk identification, operations anomaly detection, predictive maintenance, hazardous environment automation, and knowledge preservation.
Specific operational uses: Automated inspection analysis, Control Rod Drive Mechanism anomaly detection, early failure prediction, drone automation for inspections, improved human-computer interaction, fuel management optimization, and real-time event log analysis.

Challenges include lack of regulatory standards, need for AI decision explainability/trust, cybersecurity vulnerabilities, and limited high-quality training data due to nuclear secrecy.

Addressing challenges and realizing AI potential for sustainable nuclear energy requires international cooperation.

Data & Collaboration: Share anonymized data/synthetic datasets; form working groups & networks; collaborate with ISO/IEC.
Research & Capacity Building: Organize Training Meetings, Conferences, Workshops; conduct Coordinated Research Projects (CRPs). Examples: 2021-2025 activities focused on AI reliability, severe accident modeling, and broader applications; a 2025 joint workshop with ICTP.
Specific Project: "NADIA" (Nuclear Artificial Intelligence for Document Indexing and Analysis) for automating information retrieval.

The growing energy demands of AI (especially large models) could be met by nuclear power, particularly SMRs.
There's a reciprocal relationship: Nuclear energy needs optimization, while AI can enhance its capabilities.
IAEA Director General Grossi highlights this synergy, suggesting nuclear provides the energy for AI while AI optimizes nuclear power. (Source: 3-4 Dec 2025 statement)

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