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基于知识图谱的阿舍勒铜锌矿床研究进展及展望

Research progress and future vision on Ashele Cu−Zn Deposit based on knowledge graphs

  • 摘要: 阿舍勒铜锌矿床作为中国具有资源潜力与战略价值的大型铜锌多金属矿床,其深部找矿预测、高效回收及可持续开发对保障国家资源安全具有重要意义。以1990—2025年中国知网收录的相关文献作为主要数据源,依托GIS、CiteSpace与VOSviewer等分析与可视化工具,从发文量、机构合作、核心作者及关键词演进等维度绘制知识图谱,系统梳理了该领域的科研格局与动态演化历程。研究表明,阿舍勒铜锌矿床研究经历了起步探索、快速波动增长及调整回落3个阶段。在科研力量分布上,已形成以新疆哈巴河阿舍勒铜业股份有限公司、长沙矿山研究院有限责任公司、金属矿山安全技术国家重点实验室等为核心的稳定机构群,但核心作者群建设仍处于培育阶段,团队凝聚度与跨单位协同仍有提升空间。关键词共现及突现分析揭示,研究重心已实现由“矿床发现与地学基础”向“深部工程实践与精细化管理”的范式转变。伴随物联网、大数据及人工智能技术的发展,研究手段正由传统地质调查向数据驱动的动态预警与智能化集成迈进。未来应进一步加强复杂地质条件下动力灾变控制机制研究,构建高精度成矿与安全监测网络,为实现矿山可持续开发提供科技支撑。

     

    Abstract: The Ashele Cu−Zn Deposit, as a large-scale Cu−Zn polymetallic deposit in China with resource potential and strategic value, is of great significance for ensuring national resource security through its deep prospecting prediction, efficient recovery, and sustainable development. By taking the relevant literature indexed in the China National Knowledge Infrastructure (CNKI) from 1990 to 2025 as the main data source and relying on analytical and visualization tools such as GIS, CiteSpace, and VOSviewer, a knowledge map was drawn from the dimensions of publication volume, institutional cooperation, core authors, and keyword evolution. This paper systematically sorted out the research landscape and dynamic evolution process in this field. The study indicates that the research on the Ashele Cu−Zn Deposit has gone through three stages: initial exploration, rapid fluctuating growth, and adjustment-driven decline. In terms of the distribution of research forces, a stable institutional cluster has formed with Xinjiang Ashele Copper Industry Co., Ltd., Changsha Institute of Mining Research Co., Ltd., and the State Key Laboratory of Safety Technology for Metal Mines as the core. However, the construction of the core author group is still in the cultivation stage, and there is still room for improvement in team cohesion and inter-unit collaboration. Keyword co-occurrence and burst analysis reveal that the research focus has achieved a paradigm shift from "deposit discovery and basic geosciences" to "deep engineering practice and refined management". With the development of the Internet of Things, big data, and artificial intelligence technologies, research methods are moving from traditional geological surveys toward data-driven dynamic early warning and intelligent integration. In the future, research on the dynamic disaster mechanism under complex geological conditions should be further strengthened, and a high-precision mineralization and safety monitoring network should be constructed to provide scientific and technological support for achieving sustainable development of the mine.

     

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