煤炭工程 ›› 2026, Vol. 58 ›› Issue (6): 8-14.doi: 10.11799/ce202606002

• 设计技术 • 上一篇    下一篇

中澳煤矿智能化建设模式对比与协同策略展望

黄万慧   

  1. 1. 煤炭科学研究总院有限公司 数字矿山研究院,北京 100013

    2. 煤炭智能开采与岩层控制全国重点实验室,北京 100013

  • 收稿日期:2025-07-19 修回日期:2025-08-14 出版日期:2026-06-15 发布日期:2026-06-24
  • 通讯作者: 黄万慧 E-mail:huangwh17@tsinghua.org.cn

Comparison of intelligent construction models and collaborative strategy prospects of coal mines in China and Australia #br#

  • Received:2025-07-19 Revised:2025-08-14 Online:2026-06-15 Published:2026-06-24

摘要:

为揭示不同国情下煤矿智能化发展的内在规律,并为中国煤炭工业提升全球竞争力、构建新型能源体系提供决策参考,构建了“地质约束-技术路径-政策驱动”的三维分析框架,系统解构中澳两国煤矿智能化模式的形成逻辑与演化路径。研究发现,澳大利亚依托其资源禀赋与市场机制,形成了企业主导、效率优先的“自然演进”模式;而中国在复杂地质条件与能源安全战略的双重约束下,则形成了政策主导、安全为先的“顶层设计”模式。资源禀赋是路径选择的“始因”,政策与市场则是模式定型的“关键驱动力”,二者共同塑造了智能化发展的路径依赖与演化方向。中澳两国因路径差异而呈现出强烈的互补性:中国的“复杂场景适配”技术体系,可为澳大利亚应对深部或复杂地质条件下的煤炭开采提供安全解决方案;而澳大利亚的标准化集成经验,则有助于中国破解数据孤岛、装备可靠性不足等瓶颈。研究成果为全球煤炭行业智能化转型提供了“资源禀赋适应性”与“政策驱动有效性”相结合的双轨互补范式,对中国借鉴国际经验、优化顶层设计、构建新型能源体系具有重要的理论与实践价值。

关键词:

煤矿智能化, 自然演进, 顶层设计, 模式对比, 技术协同

Abstract:

Against the backdrop of the global energy transition, the intelligent development of coal mining exhibits diverse pathways. This study constructs a three-dimensional analytical framework encompassing "geological constraints, technological pathways, and policy drivers" to conduct an in-depth comparative analysis of intelligent mining models in China and Australia. The results reveal that Australia, leveraging its resource endowment and market mechanisms, has developed an enterprise-led "natural evolution model" centered on efficiency. Conversely, China, under the dual constraints of complex geology and energy security strategy, has established a policy-driven "top-down design model" prioritizing safety. Resource endowment serves as the initial determinant of pathway selection, while policy and market mechanisms act as the key drivers shaping the model's final form. Together, they determine the path dependency and evolutionary trajectory of intelligent mining development. The research highlights significant complementarity between the two countries in areas such as complex geological mining, intelligent disaster prevention and control, and equipment standardization. It further proposes synergistic pathways, including collaborative technical standard development, scenario-based integration, and internationalization of research outcomes. The findings provide a dual-track complementary paradigm integrating "resource endowment adaptability" and "policy-driven effectiveness" for the global coal industry's intelligent transformation. This research holds both theoretical and practical significance for China's efforts in building a new energy system.

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