Abstract:This paper constructs a dynamic evaluation system for the intelligent level of metal and non-metal mines, covering the whole production process, in response to the needs of intelligent mine construction. Through literature review, industry research, and referencing intelligent construction practices in related sectors, an evaluation model is proposed based on four dimensions: “intelligent production processes,” “effectiveness of safety management and control,” “data integration capability,” and “management innovation level.” The indicator layer refines these into 18 quantifiable metrics. A combined weighting method—integrating the Analytic Hierarchy Process (AHP) and entropy weight method—is adopted, with comprehensive weights calculated via linear weighting to achieve quantitative assessment. Results demonstrate that this system effectively identifies weaknesses in mine intelligentization, comprehensively and objectively reflects construction progress, provides tiered improvement recommendations for mining enterprises, supports high-quality industry development, and offers references for policy formulation.
