摘要
随着大数据、人工智能等技术和煤炭行业的深度融合,智能化充填采煤是充填开采发展的未来方向和必然选择。针对智能化充填采煤,构建了包含泛在感知、网络、数据、平台层的智能化充填开采系统架构,建立了涵盖煤矿地质变化、充填采煤过程中的多元化感知要素、独立且强实时性的智能感知系统,提出了基于最短距离聚类数据级和D-S证据理论的数据融合和决策方法,为智能化充填开采提供理论依据和技术参考。
With the deep integration of technologies such as big data and artificial intelligence with the coal mining industry,intelligent backfilling mining has become the future direction and inevitable choice for the development of backfilling mining.For intelligent filling mining,a system architecture for intelligent backfilling mining was constructed,including ubiquitous sensing,networks,data and platform layers,an intelligent sensing system covering coal mine geological changes and backfilling mining process was built with diversified sensing elements,independence and strong real-time performance,the data fusion and decision-making method based on the shortest distance clustering data level and D S evidence theory was proposed,which provided a theoretical foundation and technical reference for intelligent backfilling mining.
作者
王毅颖
张冬一
杨军辉
赵家巍
WANG Yiying;ZHANG Dongyi;YANG Junhui;ZHAO Jiawei(School of Mechanical and Equipment Engineering,Hebei University of Engineering,Handan,Hebei 056038,China;Key Laboratory of Intelligent Industrial Equipment Technology of Hebei Province,Handan,Hebei 056038,China;Collaborative Innovation Center for Modern Equipment Manufacturing of Jinan New Area(Hebei),Handan,Hebei 056038,China;Dongpang Coal Mine,Jizhong Energy Resources Co.,Ltd.,Xingtai,Hebei 054000,China;School of Civil Engineering,Hebei University of Engineering,Handan,Hebei 056038,China;Hebei Industry Technology Research Institute of Coal Mine Ecological Protection and Mining,Handan,Hebei 056038,China)
出处
《中国煤炭》
北大核心
2025年第1期67-72,共6页
China Coal
基金
河北省教育厅科学研究项目资助项目(CXY2023002)
中央引导地方科技发展资金项目编号(246Z3803G)。
