煤矿安全2025，Vol.56Issue(9)：34-43,10.DOI:10.13347/j.cnki.mkaq.20250773
露天煤矿采剥作业链关键生产环节数据解析和系统优化
Data analytics and system optimization for key production processes of mining-stripping operation chains in open-pit coal mine
摘要
Abstract
To address the low efficiency in production information utilization and weak decision-making support problems caused by insufficient data value mining and inadequate system optimization in key production processes of mining-stripping operation chains in China's open-pit coal mines,this study innovatively proposes a fusion methodology combining data analytics and system optimiz-ation for the mining-stripping operation chain of the open-pit coal mine.First,the fusion mode and the fusion modeling approach for data analytics and system optimization of the mining-stripping operation chain are proposed.Then,the data analytics and optimiza-tion fusion approach addressed critical issues in key production processes of the mining-stripping operation chain are elaborated,and the tests are conducted based on actual data from different open-pit coal mines to verify the effectiveness of the proposed fusion ap-proach.The results show that the proposed fusion approach outperforms existing counterparts in terms of performance,the geologic-al model dynamic reconstruction technology based on data analysis achieves sub-meter-level fitting accuracy in the mining and strip-ping areas and maintains the error rate of coal reserves below 3%;the data-driven prediction technology significantly enhances the forecast accuracy of the coal production,with a maximum prediction error rate of less than 2.5%;meanwhile,the dynamic optimiza-tion technology of the mining-stripping plan improves the synergy of production resources,leading to a 12%increase in production efficiency;the data analysis-based dynamic scheduling technology for mining/stripping equipment significantly improves the scheduling level of the truck fleet,resulting in a significant reduction in the average stripping haulage distance and a substantial im-provement in equipment transportation efficiency.By integrating the data analytics and system optimization,this study effectively re-solves real-world challenges such as insufficient safety monitoring,low-precision geological modeling,poor-quality production plans,as well as inefficient and unstable equipment operation.关键词
露天煤矿/采剥作业链/数据解析/系统优化/融合建模/关键生产环节Key words
open-pit coal mine/mining-stripping operation chain/data analytics/system optimization/fusion modeling/key produc-tion processes分类
矿业与冶金引用本文复制引用
黄俊婷,王忠鑫,冯建朝,曾祥玉,辛凤阳,田凤亮,孙鑫,脱子相,李杰..露天煤矿采剥作业链关键生产环节数据解析和系统优化[J].煤矿安全,2025,56(9):34-43,10.基金项目
沈阳市科技人才专项资助项目(RC230427) （RC230427）
中国煤炭科技集团科技创新创业投资专项基金资助项目(2024-MS007) （2024-MS007）
中煤科工集团沈阳设计研究院有限公司科技创新资助项目(NKJ015-2024) （NKJ015-2024）
