MAS C.L.(SH:600808) Sou Hu Cai Jing·2025-10-23 15:00Core Insights - The steel industry is undergoing significant transformation driven by AI and data technologies, marking a pivotal moment in its modernization efforts [3][10] - The integration of AI into steel production processes is essential for overcoming existing development bottlenecks and achieving high-quality growth [3][10] AI+Steel Technology System Development - The "AI+Steel" initiative has seen substantial progress in China, with collaborative efforts between academia and industry leading to successful applications of AI in steel production [4][6] - Notable advancements include the development of predictive models for hot-rolled steel using Bayesian neural networks and the establishment of a smart blast furnace system that combines big data and AI [6][10] Standardized Technology Framework - A standardized technology framework for "AI+Steel" has been established, comprising six key technical components, including data collection, model system construction, and algorithm selection [7][9] - The framework emphasizes the importance of data governance and the development of edge computing solutions tailored to the steel industry [9][10] Implementation Strategy - The implementation of the "AI+Steel" strategy is proposed in three phases: demonstration and standardization (2025-2026), scale promotion (2027-2030), and full industry adoption (2031-2035) [11] - The focus will be on building integrated production lines that cover the entire steel production process, enhancing product quality, and fostering innovation [11] Future Directions - The industry is encouraged to leverage advanced computing systems and information technologies to create a low-cost, efficient, and easily replicable model for modernization [10] - Key areas for technological development include the integration of big data with machine learning, the advancement of human-AI collaborative systems, and the exploration of multi-agent optimization techniques [10][11]