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现代矿业 ›› 2025, Vol. 41 ›› Issue (11): 1-9,23.

• 智能矿山 •    下一篇

数据要素赋能智能矿山综合管控辅助决策研究与应用

俞进发1 蒋 鑫2 王雪峰1 张正飞1 黄金武1   

  1. 1. 江西铜业股份有限公司德兴铜矿 ;2. 丹东东方测控技术股份有限公司
  • 出版日期:2025-11-25 发布日期:2025-12-16

Research and Application of Data Element Empowerment for Comprehensive Management and Control Auxiliary Decision-making in Intelligent Mines

YU Jinfa1 JIANG Xin2 WANG Xuefeng1 ZHANG Zhengfei1 HUANG Jinwu1   

  1. 1. Dexing Copper Mine of Jiangxi Copper Co.,Ltd.; 2. Dandong Dongfang Measurement & Control Technology Co.,Ltd.
  • Online:2025-11-25 Published:2025-12-16

摘要: 针对当前智能矿山综合管控中多源数据分散割裂、决策依赖人工经验导致效率低、精 准度不足等,构建了数据要素驱动的智能矿山综合管控辅助决策体系,以提升矿山管控的科学性与 智能化水平。研究利用数据治理技术,整合矿山生产、安全、设备、环境等多源异构数据,开发湖仓一 体化平台,融合大数据分析、数字孪生、GIS等技术,涵盖风险预警、生产优化、设备运维的多维度决策 模型。基于数据-模型-应用架构,开发智能矿山综合管控辅助决策系统,并在江西德兴铜矿开展应 用。结果表明,该系统实现了矿山数据的全生命周期管理,设备故障预测准确率达92%,生产成本降 低4%,能源利用率提升15%,整体运营效能提升20%。数据要素的深度赋能可有效破解智能矿山综 合管控的决策瓶颈,为矿山数字化转型提供切实可行的技术方案。

关键词: 数据要素, 智能矿山, 综合管控, 辅助决策, 数据治理

Abstract: In response to the current problems in the comprehensive management and control of intel⁃ ligent mines,such as the dispersion and fragmentation of multi-source data,and the reliance on manual experience for decision-making,which lead to low efficiency and insufficient accuracy,a data element�driven intelligent comprehensive management and control auxiliary decision-making system for mines has been constructed to enhance the scientific and intelligent levels of mine management and control. The re⁃ search utilizes data governance technology to integrate multi-source heterogeneous data such as mine pro⁃ duction,safety,equipment,and environment,develop a lake-warehouse integrated platform,and inte⁃ grate big data analysis,digital twin,GIS and other technologies,covering multi-dimensional decision�making models including risk early warning,production optimization,and equipment operation and main⁃ tenance. Based on the data-model-application architecture,an intelligent comprehensive management and control auxiliary decision-making system for mines was developed and applied in Jiangxi Dexing Copper Mine. The results show that the system has achieved full life cycle management of mine data,with an equipment failure prediction accuracy rate of 92%,production costs have been reduced by 4%,a 15% in⁃ crease in energy utilization rate,and a 20% improvement in overall operational efficiency. The in-depth empowerment of data elements can effectively break through the decision-making bottlenecks in the com⁃ prehensive management and control of intelligent mines,providing practical and feasible technical solu⁃ tions for the digital transformation of mines.

Key words: data elements, intelligent mines, comprehensive management and control, auxiliary deci?sion-making, data governance