Inherent Meaning of Intelligent Open-Pit Mining and the Logic of Data Value Generation
Abstract：This paper analyzes the differences between open-pit mining and underground mining, pointing out that the technical system of open-pit mining covers three aspects: basic theory, engineering experience, and process equipment. In response to the current problems of insufficient system decision-making and control capabilities, it proposes that intelligent upgrading should be based on information theory, systems theory, and cybernetics, achieving a transition from experience-driven to data-driven. It analyzes the logic of data value generation, which is divided into four stages: comprehensive perception (displaying value) to quantify implicit information, deep analysis (research value) to reveal laws, scientific decision-making (potential application value) to generate strategies, and precise execution (application value) for closed-loop control. Subsystem data achieve value spiral growth through multi-level closed-loop flow. The integration of intelligence with mine design and engineering systems provides theoretical support and practical paths for the efficient, safe, and sustainable development of the industry.
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Publication Date：2025-04-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 34-41 )