ChinaPublic sector2025 – ongoingMinistry of Water Resources
AI-assisted assessment of water-conservancy standards
China's water ministry reported over 96.7% accuracy for AI duplicate-content comparison
Problem
Water-standard assessments required comparisons across technical documents and related regulations. Reviewers needed to identify overlapping provisions and retrieve relevant requirements.
Approach
The ministry organized development by the China Institute of Water Resources and Hydropower Research. The institute combined a specialist knowledge base with DeepSeek and Qwen models, then applied the system in thematic assessments of water technical standards.
Results
Takeaway
The system supported a defined standards-review workflow using a domain-specific reference collection.
Categories
- Size
- Large enterprise
- Industry
- Public sector
- Business function
- Internal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
CCTV relayed a water-sector announcement describing actual use in standards assessments. It reported duplicate-comparison accuracy above 96.7% and improvements in drafting and review efficiency.
Full details are in the original sources.