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王国法, 刘峰, 孟祥军, 范京道, 吴群英, 任怀伟, 庞义辉, 徐亚军, 赵国瑞, 张德生, 曹现刚, 杜毅博, 张金虎, 陈洪月, 马英, 张坤. 煤矿智能化(初级阶段)研究与实践[J]. 煤炭科学技术, 2019, (8).
引用本文: 王国法, 刘峰, 孟祥军, 范京道, 吴群英, 任怀伟, 庞义辉, 徐亚军, 赵国瑞, 张德生, 曹现刚, 杜毅博, 张金虎, 陈洪月, 马英, 张坤. 煤矿智能化(初级阶段)研究与实践[J]. 煤炭科学技术, 2019, (8).
WANG Guofa, LIU Feng, MENG Xiangjun, FAN Jingdao, WU Qunying, REN Huaiwei, PANG Yihui, XU Yajun, ZHAO Guorui, ZHANG Desheng, CAO Xiangang, DU Yibo, ZHANG Jinhu, CHEN Hongyue, MA Ying, ZHANG Kun. Research and practice on intelligent coal mine construction (primary stage)[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (8).
Citation: WANG Guofa, LIU Feng, MENG Xiangjun, FAN Jingdao, WU Qunying, REN Huaiwei, PANG Yihui, XU Yajun, ZHAO Guorui, ZHANG Desheng, CAO Xiangang, DU Yibo, ZHANG Jinhu, CHEN Hongyue, MA Ying, ZHANG Kun. Research and practice on intelligent coal mine construction (primary stage)[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (8).

煤矿智能化(初级阶段)研究与实践

Research and practice on intelligent coal mine construction (primary stage)

  • 摘要: 煤炭是我国能源的基石,是可以实现清洁高效利用的最经济、安全的能源,煤矿智能化是实现煤炭工业高质量发展的核心技术支撑。系统阐述我国煤炭工业发展历程,分析煤矿综合机械化、自动化、智能化的发展过程与现状,列举了部分典型成功案例。详细阐述煤矿智能化的发展理念、特征、技术路径与阶段目标,分析煤矿智能化基础理论与关键技术研究现状,从数据采集与应用标准、装备群智能协同控制、健康状态诊断与维护等方面,分析了实现煤矿智能化开采需要解决的3个关键基础理论难题。从感知层、传输层、平台层和应用层等方面,分析了智能化煤矿的主体系统架构,研究了煤矿智能化建设的主要技术路径。针对不同煤层赋存条件工作面智能化开采的技术要求,提出了薄及中厚煤层智能化无人开采模式、大采高工作面智能耦合人工协同高效开采模式、综放工作面智能化操控与人工干预辅助放煤模式、复杂条件机械化+智能化开采模式等4种开采模式,研究了不同开采模式的核心关键技术与实施效果。介绍了我国煤矿掘进技术与装备发展现状,分析了制约巷道实现快速掘进的关键难题,提出了智能快速掘进的研发方向及技术路径。提出了我国煤矿智能化发展的基本原则,分析不同地域条件煤矿智能化发展模式及评价标准,提出新建矿井智能化建设路径,以及现有生产矿井进行智能化改造的主要任务,从法规体系、财税政策、人才培养等方面提出了保障煤矿智能化建设顺利实施的政策建议。

     

    Abstract: Coal is the cornerstone of China’s energy, and it is the most economical and reliable energy which can be used cleanly and efficiently. The intellectualization of coal mine is the core technology support to realize the high quality development of coal industry. This paper systematically expounds the development course of China′s coal industry, analyzes the development process and present situation of coal mine comprehensive mechanization, automation and intellectualization, and enumerates some typical successful cases. The development concept, characteristics, technical path and stage goals of intelligent coal mine were introduced. The research status of basic theory and key technology were analyzed. The three key problems to realize the intellectualized coal mine were analyzed from the data acquisition and application of standard, equipment group of intelligent coordination control, health diagnosis and maintenance, etc. The main system architecture of intelligent coal mine were analyzed from the aspects of perception layer, transmission layer, platform layer and application layer. The main technical path of intelligent construction were studied. The four mining modes, such as intelligent unmanned mining mode suitable for thin and medium coal seams, intelligent and efficient man-machine cooperative patrol mode suitable for working face with large mining height, intelligent operation and manual intervention coal caving mode suitable for fully mechanized caving working face and mechanization and intelligent combined mining mode for coal seam with complex conditions, were proposed to adopt to different coal seams. The key technologies and implementation effects of different mining modes were studied. This paper introduces the development status of technology and equipment of China’s coal mine tunneling, analyzes the key problems that restrict the realization of rapid tunneling, and puts forward the research direction and technical path of intelligent and rapid tunneling. This paper puts forward the basic principles of intelligent development of coal mines in our country, analyzes on the intelligent development mode and evaluation standard of coal mines under different regional conditions, puts forward the intelligent construction path of new mines and the main tasks of intelligent transformation of existing production mines. From the aspects of laws and regulations, fiscal and tax policies, and personnel training, the paper puts forward some policy suggestions to ensure the smooth implementation of the intelligent construction of coal mines.

     

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