Nanjing Iron & Steel and Huawei Deploy Multi-Model AI Cluster Across Steelmaking Operations
Enterprise AI · Low-carbon materials
Nanjing Iron & Steel Group has collaborated with Huawei to advance the 'Yuanye Steel Large Model' initiative, integrating over 300 AI models across entire production operations, including blast furnace monitoring, rolling force prediction, quality inspection, and carbon-reduction management. The plant relies on human-machine collaboration, where AI handles data processing while operators execute process adjustments.
Nanjing Iron & Steel Group, ranked 35th in global crude steel output, partnered with Huawei to develop an AI model cluster covering comprehensive steelmaking operations under its 'Yuanye Steel Large Model' project initiated in 2024. The framework integrates general, natural language processing, and computer vision models tailored to steel manufacturing, comprising more than 300 domain-specific models. Within production, AI predicts blast furnace temperature dynamics via sensors, estimates rolling machinery forces, conducts vision-based quality inspections, and monitors energy consumption. Management stated that AI handles signal and image collection, analysis, and final inference, while on-site technicians interpret the data to determine process adjustments for improved pass rates. Plant operators emphasized that full autonomous control is not yet feasible at this scale, necessitating ongoing human-machine coordination.
Key takeaways
- Nanjing Iron & Steel and Huawei combined over 300 AI models into a production-wide cluster system.
- The system handles blast furnace temperatures, rolling forces, visual quality testing, and energy usage.
- Operations employ human-machine coordination, where AI delivers predictive analytics and staff execute adjustments.
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