基于绿色约束下勘探靶区优选的AI+地质大数据找矿模型研究

    Research on AI+ geological big data prospecting model for optimizing exploration target areas under green constraints

    • 摘要: 本文在分析绿色勘探背景下AI+地质大数据找矿模型研究的必要性基础上,创新性的以勘探靶区优选模型框架构建、数据输入及算法实现为例,发现AI+地质大数据找矿模型研究存在的不足,提出了搭建统一数据共享平台,加强软硬件核心技术自主研发,加快AI与地质学领域知识融合,成立AI找矿产业创新联合体,推动政策、标准制定等方面的对策建议。

       

      Abstract: Based on the analysis of the necessity of researching the AI+ geological big data mineral exploration model in the context of green exploration, this paper innovatively takes the construction of the model framework for optimizing exploration target areas, data input and algorithm implementation as examples to discover the deficiencies in the research of the AI+ geological big data mineral exploration model. Countermeasures and suggestions are put forward, including building a unified data sharing platform, strengthening independent research and development of core software and hardware technologies, accelerating the integration of AI and knowledge in the field of geology, establishing an AI mineral exploration industry innovation consortium, and promoting the formulation of policies and standards.

       

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