信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2025, Vol. 51 ›› Issue (6): 8-14.doi: 10.12267/j.issn.2096-5931.2025.06.002

专题:AI 驱动能源变革 上一篇    下一篇

人工智能赋能矿山生产智能创新发展

AI empowers intelligent and innovative development in mine production

黄树巍1, 金枫1, 陈继巍1, 赵崇岩2   

  1. 1.北京现代循环经济研究院,北京 100814
    2.中国信息通信研究院技术与标准研究所,北京 100191
  • 收稿日期:2025-05-09 出版日期:2025-06-25 发布日期:2025-07-04
  • 作者简介:
    黄树巍 北京现代循环经济研究院科技发展部主任,高级工程师,主要从事工业互联网、智能装备与技术、智能矿山等研究工作
    金枫 北京现代循环经济研究院院长,正高级工程师,主要从事无人装备、工业互联网及智能制造技术等研究工作
    陈继巍 北京现代循环经济研究院执行院长,高级工程师,主要从事新一代信息技术、数字经济、数据要素、未来产业等研究工作
    赵崇岩 中国信息通信研究院技术与标准研究所工程师,主要从事智慧能源和千兆光网融合应用等领域的技术研究、产业推进等工作

HUANG Shuwei1, JIN Feng1, CHEN Jiwei1, ZHAO Chongyan2   

  1. 1. Beijing Modern Research Institute of Recycle Economy, Beijing 100814, China
    2. Technology and Standards Research Institute, China Academy of Information and Communications Technology, Beijing 100191, China
  • Received:2025-05-09 Online:2025-06-25 Published:2025-07-04

摘要:

在全球能源转型背景下,人工智能(Artificial Intelligence,AI)技术为矿山行业突破效率瓶颈、实现安全高效绿色生产提供了关键路径。系统分析了AI在矿山领域的应用现状与挑战,指出其当前局限于单场景模型化应用、面临复杂环境适应性差、行业知识壁垒高、数据治理困难等核心问题。通过构建“基础层—技术层—应用层”参考架构,提出了AI赋能矿业的典型场景,包括资源勘探、智能作业、安全预警、设备预维等,促进AI技术与矿山生产深度融合,推动矿山全流程智能化发展,助力矿业向智能绿色可持续方向转型升级。

关键词: 人工智能, 新一代信息技术, 智能矿山, 生产创新, 行业大模型

Abstract:

Against the backdrop of global energy transition, the artificial intelligence (AI) technology provides a critical pathway for the mining industry to overcome efficiency bottlenecks and achieve safe, efficient, and green production. This paper systematically analyzes the current applications and challenges of AI in the mining industry, highlighting its current limitations to scenario-specific models and core problems such as poor adaptability to complex environments, high industry knowledge barriers, and data governance difficulties. By constructing a reference architecture of “foundation layer—technology layer—application layer”, this paper proposes AI-empowered mining scenarios, such as resource exploration, intelligent operations, safety warnings, and predictive equipment maintenance. These efforts aim to deepen the integration of AI with mining production, drive the intelligent development of the entire mining process, and facilitate the industry’s transition toward intelligent, green, and sustainable development.

Key words: AI, new generation information technologies, intelligent mines, production innovation, large industry model

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