Abstract:As an important supporting industry for the national economy, national defense and military industry, the copper smelting industry is facing challenges such as stringent environmental protection policies, poor and complex raw materials, and intensifying industry competition. The traditional production mode is difficult to meet the needs of high-quality development. Digital transformation can enhance the intelligent level of copper smelting and ensure stable and efficient production, which has become the only way to improve the quality and efficiency of the industry. However, during the digital transformation process, China‘s copper smelting industry still faces problems such as lack of production process information, difficulties in complex process modeling, and conflicts among multi-process goals. In response to these challenges, this paper revealed the key technologies for digital transformation, including accurate parameter sensing in the copper smelting process, cross-domain heterogeneous data fusion, intelligent operation control of equipment, full-process collaborative optimization, and development of virtual-real interaction platforms. It also looked ahead to the application prospects of the new generation of artificial intelligence and information technology in the copper smelting industry, providing a reference for achieving the goals of stable operation of key copper smelting equipment, efficient collaboration of supply chain-material flow-production chain, and environmentally-friendly high-quality production throughout the process.