One-sentence summary
In October 2026, the State Administration for Market Regulation (SAMR) issued three national guiding technical documents for AI in the steel industry: Application Scenario Classification Guide for AI in the Steel Industry (GB/Z 224-2026), Technical Requirements for Steel Large-Model Datasets (GB/Z 231-2026) and Service Capability Maturity Evaluation for Steel Large Models (GB/Z 241-2026), forming a closed loop of scenario classification, dataset specification and maturity evaluation.
Standard Overview
| Item | Detail |
|---|---|
| Standard numbers | GB/Z 224-2026; GB/Z 231-2026; GB/Z 241-2026 |
| Standard names | Application Scenario Classification Guide for AI in the Steel Industry; Technical Requirements for Steel Large-Model Datasets; Service Capability Maturity Evaluation for Steel Large Models |
| Issuer | State Administration for Market Regulation (Standardization Administration) |
| Status | Issued (October 2026, reported by Xinhua on October 19, 2026) |
| Type | National guiding technical documents |
Scope
- Identification and classification of AI application scenarios in the steel industry.
- Structure design, knowledge fusion and data security management of steel large-model datasets.
- Evaluation indicators, maturity grading rules and evaluation methods for steel large-model service capability.
- Steel enterprises undergoing digital transformation and related service providers.
Key Provisions
| Provision | Content | Affected Parties |
|---|---|---|
| Scenario classification (GB/Z 224-2026) | Classifies AI application scenarios in the steel industry to guide scenario identification and deployment | Steel enterprises, AI solution providers |
| Dataset requirements (GB/Z 231-2026) | Defines dataset structure and specifies technical requirements for knowledge fusion and data security | Data managers, model developers |
| Maturity evaluation (GB/Z 241-2026) | Provides evaluation indicators, maturity grading rules and evaluation methods for steel large-model service capability | Service providers, evaluation bodies |
| Supporting framework | Supports large-model technology in solving complex steel-industry problems together with existing standards | Industry organizations, regulators |
Compliance Advice
- Steel enterprises should use the three standards as reference baselines for AI project initiation, dataset construction and service acceptance.
- Data managers should follow GB/Z 231-2026 to standardize dataset structure and knowledge fusion processes and implement data security requirements.
- Service providers can conduct self-evaluation of service capability under GB/Z 241-2026 and identify their maturity level.
- Scenario planners should use GB/Z 224-2026 for unified scenario classification to avoid duplicated construction of similar scenarios.
Official Sources
- State Administration for Market Regulation: First batch of AI-empowered steel industry standards released to support digital transformationlink
- Xinhua News Agency: National standards for AI empowering the steel industry released (October 19, 2026)
- China Economic Net: First batch of steel-industry AI standards released forming a complete closed looplink