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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
智能化采煤系统架构及关键技术研究
  • Title

    Research on the architecture and key technologies of intelligent coal mining system

  • 作者

    黄曾华王峰张守祥

  • Author

    HUANG Zenghua1,2 ,WANG Feng2 ,ZHANG Shouxiang3

  • 单位

    中国矿业大学 机电工程学院北京天地玛珂电液控制系统有限公司山东工商学院 信息与电子工程学院

  • Organization
    1. School of Mechanical and Electrical Engineering,China University of Mining and Technology,Xuzhou  221116,China; 2. Beijing Tiandi-Marco Electro-Hydric Control System Co. ,Ltd. ,Beijing  100013,China; 3. School of Electronic and Information Engineering,Shandong Technology and Business University, Yantai  264005,China
  • 摘要

    随着煤炭行业自动化、数字化、信息化的变革,智能化采煤成为了重要的发展方向。 

    本文先针对我国当前推广应用的可视化远程干预智能化采煤模式进行了分析,介绍、总结了基于视频监控的远程干预综采智能化、以巡检机器人辅助的工作面智能化,以及基于惯性导航技术的综采智能导航等 3 个方向的技术发展情况,总结性提出了当前可视化远程干预智能化采煤工作面对的“看、动、想、稳”4 方面实际问题。

     其次,分析了面对复杂开采条件下智能化采煤所面对的自适应技术和综采机器人技术 2 项技术难题,归纳出开采空间多元信息采集及交叉融合、智能化采煤决策基础理论、综采装备群智能化协作 3 个科学难题。 

    再次,围绕技术科学难题,提出了智能化开采系统需要具备的 4 个基本要素,分别为:煤炭开采空间感知能力要素,智能分析及决策能力要素,自动执行能力要素,可靠及稳健运维能力要素,设计了以“感知、决策、执行、运维”为 4 个维度的智能化采煤系统架构。

     研究了关键技术待突破方向,包括开采地质环境增强感知技术、智能开采工艺分析决策技术、开采装备智能化技术、煤矿智能巡检机器人技术、开采系统智能运维技术、辅助生产环节智能化技术、综采智能服务等方面。 

    最后,以国能集团神东榆家梁煤矿智能化采煤示范工程项目为例,开展了基于“透明工作面”的数字化采煤应用,初步实现了智能化自主采煤。


  • Abstract

    With the reformation of automation,digitalization and informatization in the coal industry,intelligent coal mining has become an important development direction. This paper analyzes the visual remote intervention intelligent mining mode which is widely used in China,introduces the technology development in three directions:the remote in- tervention intelligent mining based on video monitoring,the intelligent working face assisted by inspection robot,and the integrated mining intelligent navigation based on inertial navigation technology. Furthermore,the paper summarizes the four practical problems of " seeing,moving,thinking and stabilizing in the current stage based on the visual remote intervention mining method. Then,the paper analyzes two technical problems faced by intelligent coal mining under complex mining conditions,which are self-adaptive technology and fully mechanized mining robot technology. Three scientific problems that intelligent coal mining must be solved are summarized as the multi-information collection and cross fusion of mining space,intelligent coal mining decision-making basis theory,and the intelligent cooperation of comprehensive mining cluster. At the same time,according to the summarized technical and scientific problems,an ar- chitecture of intelligent coal mining system containing four dimensions of perception,decision-making,implementation, operation and maintenance is proposed,as well as the four basic elements is summarized,which are coal mining spatial perception ability,intelligent analysis and decision-making ability,automatic execution ability,reliable and stable oper- ation and maintenance ability. In addition,the breakthrough directions of key technologies are proposed,including min- ing geological environment enhancement sensing technology,intelligent mining technology analysis and decision-mak- ing technology,mining equipment intelligent technology,intelligent inspection robot technology,intelligent operation and maintenance technology of mining system,intelligent technology of auxiliary production links,and comprehensive mining intelligent service. Finally,a demonstration project in Yujialiang Coal Mine of CHN Energy Shendong Coal Group Limited is introduced. The application results show that the intelligent coal mining system based on ’transparent working face’ has initially achieved an intelligent coal mining.

  • 关键词

    智能化采煤智能装备系统架构关键技术开采空间感知智能决策智能运维

  • KeyWords

    intelligent coal mining;intelligent mining equipment;system architecture;key technology;mining space perception;intelligent decision-making;intelligent operation and maintenance

  • DOI
  • Citation
    HUANG Zenghua,WANG Feng,ZHANG Shouxiang. Research on the architecture and key technologies of intelligent coal mining system[J]. Journal of China Coal Society,2020,45(6):1959 -1972.
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    • 采用图像处理技术监控工作面煤流

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主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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