First AI model in steel industry in Guangxi launched

Liuzhou Steel Group, headquartered in Liuzhou in South China's Guangxi Zhuang autonomous region, launched the region's first AI model in steel industry, "Xuan Tie", on March 31, in collaboration with Huawei and China Mobile Communications Corporation Guangxi Co.

This marks a significant step in the digital transformation of one of the key industries in Guangxi, setting a new benchmark for high-end, intelligent, and green development in the steel sector.

Liuzhou Steel Group launches the region's first AI model in steel industry, "Xuan Tie", on March 31. [Photo/Guangxi Daily]

The "Xuan Tie" model focuses on three core areas – "AI+people, AI+data, and AI+manufacturing". Its applications span critical aspects of steel manufacturing, including raw material procurement, steel production, quality control, equipment maintenance and supply chain synergy.

The model has demonstrated effectiveness in several core scenarios. For example, during the intelligent ore blending and raw material optimization phase, the model reduces the time required for ore blending from the traditional 72 hours to just 16 minutes. 

The smart molten iron transportation system, powered by 5G technology, delivers full-process intelligent transportation. The predictive maintenance platform can forecast equipment failures 72 hours in advance.

The company plans to continue optimizing the model and further integrate it across five key areas in 2026. It plans to fully apply the model to mature scenarios over the next three years, achieving an intelligent process coverage rate of over 80 percent and enabling "Xuan Tie" as a powerful engine driving high-quality development.

Smart application scenarios of Liuzhou Steel Group. [Photo/Guangxi Daily]

Li Bin, chairman of Liuzhou Steel Group, said that the company will proactively integrate into national and regional AI development strategies, positioning digital transformation as a core driver of high-quality development.

The company is set to drive iterative upgrades of large models, increase R&D investment in the field of digital transformation and transform into a nationally leading smart factory with international competitiveness, Li said.