ChinaEnergy and utilities2026 – ongoingChina General Nuclear Power Group (CGN)
San'ao radiograph AI assessment
CGN uploaded more than 19,000 radiographs to its AI-assisted inspection system at San'ao
Problem
Radiographic inspection depended on manual review.
Approach
San'ao combined cloud storage with AI assessment. The system checked radiographs for defects exceeding permitted limits.
Results
more than 19,000radiographs uploaded to the inspection system, according to CGN
Takeaway
Upload volume did not establish detection accuracy.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
[1]National Nuclear Safety Administration23 Mar 2026
CGN described AI-assisted radiograph assessment. It reported more than 19,000 uploads.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026