Abstract: With the rapid development of digital transformation in China′s steel industry, steel enterprises have accumulated massive knowledge and data assets. How to efficiently unearth the value of knowledge and data assets and gradually transform from digitalization to intelligentization has become a challenging problem. Large model has entered the stage of large-scale application, and the industry large-scale model is the key to its deep penetration into vertical fields. As a typical process industry, the steel industry has abundant scene resources and data assets, and urgently needs to be empowered by industry big models to create a new business model driven by the integration of knowledge, data, and intelligence, in order to achieve intelligent upgrading and high-quality development. This article first proposes the architecture design concept of the steel industry′s large model, and studies the data architecture, platform architecture, and application architecture; Then, the application of knowledge engines, intelligent agents for deep knowledge insight reports, metallographic detection models, and embodied intelligence models were introduced, exploring the application modes of natural language models, visual models, and multimodal models; Finally, the future development of the steel big model was discussed from the aspects of industry data space, collaborative system of large and small models, and application security protection.