Optimization Strategy for Mining Production Scheduling Using Artificial Intelligence Technology
This study proposes a method for optimizing mining production scheduling using artificial intelligence technology.A data-driven production scheduling optimization model is established through data collection,deep learning,and machine learn-ing techniques,and applied to actual mining production.Real time monitoring and analysis were achieved by connecting with on-site mining data,and production scheduling was optimized based on model prediction results.The experimental results show that this method can significantly improve production efficiency,reduce production costs,and improve the stability and reliability of production lines,providing strong support for the sustainable development of mining enterprises.
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