Abstract:

Against the backdrop of global energy transition, the artificial intelligence (AI) technology provides a critical pathway for the mining industry to overcome efficiency bottlenecks and achieve safe, efficient, and green production. This paper systematically analyzes the current applications and challenges of AI in the mining industry, highlighting its current limitations to scenario-specific models and core problems such as poor adaptability to complex environments, high industry knowledge barriers, and data governance difficulties. By constructing a reference architecture of “foundation layer—technology layer—application layer”, this paper proposes AI-empowered mining scenarios, such as resource exploration, intelligent operations, safety warnings, and predictive equipment maintenance. These efforts aim to deepen the integration of AI with mining production, drive the intelligent development of the entire mining process, and facilitate the industry’s transition toward intelligent, green, and sustainable development.

Key words: AI, new generation information technologies, intelligent mines, production innovation, large industry model