智能化矿山应用对矿山开采的影响

The impact of intelligent mine applications on mining operations

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DOI 10.12208/j.jer.20250270
刊名
Journal of Engineering Research
年,卷(期) 2025, 4(6)
作者
作者单位

山东中泉汇聚新型材料科技有限公司 山东枣庄

摘要
在当今时代,第四次工业革命的浪潮正席卷全球,其中智能化矿山的发展尤为引人注目。这一革命性的进步,通过一系列技术创新,正在彻底改变传统矿业的面貌。本文基于32个国内外的项目和丰富的行业数据,深入分析了智能化技术如何影响矿山的全生命周期。研究结果表明,高精度的三维地质建模技术以及开采设计的优化,显著提高了矿产资源的回收率;而5G通信技术和北斗导航系统的应用,使得无人运输系统得以实现,从而有效降低了运输成本;此外,人工智能(AI)在安全预警方面的应用,大大减少了矿山事故的发生率。智能矿山通过采用数字孪生技术,实现了对碳排放的有效管理,示范项目显示到2024年碳强度将有显著下降。智能化转型不仅促进了数据、知识和决策的价值闭环,而且推动了矿业从依赖经验向算法驱动的转变,实现了生产率的增长和生态保护的平衡。这一系列的变革为中国方案在全球矿业可持续发展中提供了宝贵的参考和借鉴。
Abstract
In the current era, the wave of the Fourth Industrial Revolution is sweeping across the globe, with the development of intelligent mines being particularly noteworthy. This revolutionary progress is fundamentally transforming traditional mining through a series of technological innovations. Based on 32 domestic and international projects and extensive industry data, this paper conducts an in-depth analysis of how intelligent technologies impact the entire lifecycle of mines. The research findings demonstrate that high-precision 3D geological modeling technology and optimized mining design significantly enhance mineral resource recovery rates. The application of 5G communication technology and the BeiDou Navigation Satellite System enables unmanned transportation systems, effectively reducing transportation costs. Furthermore, the application of artificial intelligence (AI) in safety early warning substantially reduces the incidence of mining accidents. By adopting digital twin technology, intelligent mines achieve effective carbon emission management, with demonstration projects indicating a significant decrease in carbon intensity by 2024. The intelligent transformation not only facilitates a closed-loop integration of data, knowledge, and decision-making value but also drives the industry’s shift from experience dependency to algorithm-driven operations, achieving a balance between productivity growth and ecological conservation. This series of transformations provides valuable reference and insights for the Chinese approach to global sustainable mining development.
关键词
数字孪生系统;采矿资源优化;绿色矿山智能监控;智能协同管控
KeyWord
Digital twin system; Mining resource optimization; Intelligent monitoring for green mines; Intelligent collaborative management
基金项目
页码 73-76
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孙朋, 王业永. 智能化矿山应用对矿山开采的影响 [J]. 工程学研究. 2025; 4; (6). 73 - 76.

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