Development of innovation team construction and key technology research in coal mine intelligence
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摘要: 分析了我国煤矿智能化建设存在的突出技术短板，提出了智能化系统设计、信息基础设施、智能地质保障、智能采掘运、智能安全预测预警、智能供电及智能水务、智能洗选、智慧园区、智能化露天煤矿、智能建井、智能设备及机器人、应急救援及监管监察等12个创新研发方向，组建了46个煤矿智能化优势创新团队，形成了煤矿智能化创新最强阵容。建立了创新链与产业链的目标协同、组织协同、知识协同和业务协同模式，依托136个省级以上实验平台，在煤矿智能化重要技术方向上率先取得一批创新成果，为我国煤矿智能化建设提供了技术支撑。提出了持续推进煤矿智能化建设、提高技术装备保障能力的9个重点突破方向：持续构建煤矿智能化支撑技术体系，加快构建煤矿智能化技术标准体系及建设效益评价体系，加快推进煤矿智能化“煤智云”研究应用，开发大采高放顶煤智能开采工艺成套装备，加强智能快速掘进技术及装备研发，开发高可靠性、高稳定性的矿用智能传感器，加快煤矿机器人集群关键技术研发，加快构建智能洗选成套装备及工艺包开发，强化露天煤矿智能化工艺先进成熟与核心装备稳定高可靠。Abstract: This paper analyzes the outstanding technical weaknesses in the intelligent construction of coal mines in China. This paper puts forward 12 innovative research and development directions, including intelligent system design, information infrastructure, intelligent geological support, intelligent mining and transportation, intelligent safety prediction and early warning, intelligent power supply and intelligent water affairs, intelligent washing, intelligent parks, intelligent open-pit coal mines, intelligent well construction, intelligent equipment and robots, and emergency rescue and supervision. 46 coal mine intelligent innovation teams have been established, forming the strongest team of coal mine intelligent innovation. The target collaboration, organization collaboration, knowledge collaboration and business collaboration models of the innovation chain and industry chain are established. Relying on 136 provincial experimental platforms, this study takes the lead in obtaining a number of innovative achievements in the important technical direction of the intelligent coal mine. This paper provides technical support for the construction of intelligent coal mine in our country. This study puts forward 9 key breakthrough directions to continuously promote the intelligent construction of coal mines and improve the technical equipment support capacity. It is suggested to continuously build the intelligent support technology system of coal mine, accelerate the construction of the intelligent technology standard system of coal mine and the construction benefit evaluation system, and accelerate the research and application of the intelligent "MineCloud" of coal mine. It is suggested to develop complete sets of intelligent mining process equipment for large mining height caving coal, strengthen the research and development of intelligent fast heading technology and equipment, and develop highly reliable and stable intelligent mine sensors. It is suggested to accelerate the research and development of key technologies of coal mine robot cluster, accelerate the construction of intelligent washing complete equipment and process package development, and strengthen the advanced and mature intelligent process and the stability and high reliability of core equipment in open-pit coal mines.
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图 2 智能化创新团队内部协同与内外协同
Figure 2. Internal and external collaboration of intelligent innovation team
图 3 实验平台与团队、成果、应用之间的相互促进关系
Figure 3. Mutual promotion relationship between experimental platform and team, achievements and applications
图 4 井下跨系统全时空信息感知数据结构
Figure 4. Data structure of underground cross system full space-time information perception
图 5 基于“ABCD”的智能化煤矿系统耦合技术
Figure 5. Coupling technology of intelligent coal mine system based on "ABCD"
图 6 “煤科云”智能一体化管控平台应用界面
Figure 6. Application interface of MineCloud intelligent integrated management and control platform
图 7 “通信网+定位网”技术框架和应用效果
Figure 7. Technical framework and application effect of "communication network+positioning network"
图 9 2~3 m煤层千万吨级智能综采成套装备
Figure 9. 10 million ton intelligent complete set of fully mechanized mining equipment for 2~3 m coal seam
图 11 KTC199矿用通信控制装置组成
Figure 11. Composition of KTC199 mine communication control device
图 12 辅助运输车辆可视化遥控驾驶系统
Figure 12. Visual remote control driving system for auxiliary transport vehicles
图 16 煤矿智能水务一体化管控平台
Figure 16. Integrated management and control platform for coal mine intelligent water affairs
图 17 选煤厂智能化管控平台
Figure 17. Intelligent management and control platform of coal preparation plant
图 18 井下巷修及管路安装机器人
Figure 18. Robots for underground roadway repair and pipeline installation
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