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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
智慧煤矿与智能化开采关键核心技术分析
  • Title

    Analysis on key technologies of intelligent coal mine and intelligent mining

  • 作者

    王国法赵国瑞任怀伟

  • Author

    WANG Guofa1,2,3 ,ZHAO Guorui1,3 ,REN Huaiwei1,3

  • 单位

    天地科技股份有限公司 开采设计事业部中国煤炭科工集团有限公司煤炭科学研究总院 开采研究分院

  • Organization
    1. Coal Ming and Designing Department,Tiandi Science & Technology Co. ,Ltd. ,Beijing  100013,China; 2. China Coal Technology & Engineering Group Corp. ,Beijing  100013,China; 3. Mining Design Institute,China Coal Research Institute,Beijing  100013,China
  • 摘要

    为解决煤炭开采面临的突出问题,找到煤炭开采未来发展方向和急需突破的关键核心技术,分析了国内外能源结构及煤炭的现状,指出利用科技进步实现安全高效绿色开采和清洁高效利用是煤炭的发展方向,建设智慧煤矿发展智能化开采是煤炭工业发展的必然选择。提出了智慧煤矿的内涵和3个基础理论问题及研究方向:① 数字煤矿多源异构数据的统一表达及信息动态关联关系;② 复杂围岩环境-开采系统作用机理及设备群全程路径和姿态智能控制的理论基础;③ 矿井设备群的系统健康状况预测、维护决策机制。提出了建设智慧煤矿MOS多系统综合管理、井下机器人群协同智慧和馈电管理、井下精确定位导航和5G通信管理、地质及矿井采掘运通信息动态管理、视频增强及实时数据驱动三维场景再现远程干预、环境及危险源感知与安全预警系统管理、智能化无人工作面系统管理和全矿井设备和设施健康管理八大智能系统管理操作平台的构想,分析了各平台的功能、特征和关键核心问题,提出了相应的建设路径和方法;分析了智慧煤矿的构成和建设目标,提出了智能化开采的八大核心技术短板和亟待攻破的关键技术,提出了技术层面从数据获取利用、智能决策和装备研发3个主要方向进行突破,管理层面从科学产能布局、专业化运行服务和建立新规范规程体系等促进发展的措施,指出了智慧煤矿和智能化开采技术发展的目标和实现路径。

  • Abstract

    In order to solve the outstanding problems faced by the coal mining,the key core technologies of the future development direction and the urgent breakthrough of the coal mining are found,the domestic and foreign energy struc- ture and the coal status are analyzed. It is pointed out that using the scientific and technological progress to realize the safe and efficient green mining and clean and efficient utilization is the development direction of the coal,and the de- velopment of intelligent coal mine is an inevitable choice for the development of the coal industry. The connotation of intelligent coal mine and three basic theoretical problems and research directions are put forward:① the unified ex- pression of multi-source and heterogeneous data and the information dynamic correlation relationship in digital coal mine;② the mechanism of complex surrounding rock environment-mining system and the theoretical basis of intelli- gent control of the whole path and attitude of equipment group;③ the system health condition prediction and mainte- nance decision-making mechanism of mine equipment group. Eight operational management platforms of intelligent MOS multi-system integrated management,underground robot cooperative intelligence and feed management,under- ground precise positioning and navigation and 5G communication management,geological and mine mining and trans- portation information dynamic management,video enhancement and real-time data-driven 3D scene reproduction re- mote intervention,environment and hazard perception and security early warning system management,systematic man- agement of intelligent unmanned working face and the health management of the whole mine equipment and facilities are conceived. The functions,characteristics and key problems of each platform are analyzed,and the corresponding construction paths and methods are put forward. By analyzing the composition and construction target of intelligent coal mine,the paper puts forward eight key technology short-boards and key technologies that need to be broken in intelli- gent mining,and puts forward the measures to promote the development in the aspects of both technology and manage- ment. At the technical level,there are three main directions:data acquisition and utilization,intelligent decision making and equipment R & D. At the management level,scientific production capacity layout,specialized operation service and the establishment of new standard rules and regulations system are put forward. The development goal and realiza- tion path of intelligent coal mine and intelligent mining technology are pointed out.

  • 关键词

    智慧煤矿智能化开采智能系统操作平台补短板发展对策

  • KeyWords

    intelligent coal mine;intelligent mining;intelligent system;operating platform;compensate for short board; development countermeasure

  • DOI
  • Citation
    WANG Guofa,ZHAO Guorui,REN Huaiwei. Analysis on key technologies of intelligent coal mine and intelligent min- ing[J]. Journal of China Coal Society,2019,44(1):34-41.
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