5G+工业互联网智能化矿井及智能放煤关键技术研究与实践

Research and practice on key technologies of 5G+ industrial internet-based intelligent coal mine and intelligent coal caving

  • 摘要: 基于国能神东保德煤矿智能化煤矿建设任务,提出“统一数据、统一模型、统一平台、统一方案”5G+工业互联网智能化矿井建设总体方案,构建“四层+两翼”井下5G综合承载网架构:感知层部署多类传感器采集生产安全数据,传输层以5G+N×100G FlexE硬切片网络为核心实现高效传输,平台层承担数据存储与深度分析,应用层支撑多场景智能化应用;“两翼”为统一数据标准与工业安全防护体系,保障数据互通与网络安全。采用中频满足工作面大带宽需求、低频实现巷道长距离覆盖,通过TDD时隙翻转与SUL技术增强上行传输;依托FlexE切片技术划分5类切片,满足不同业务时延、带宽需求,有效支撑综采巡检、梭车远程驾驶等各类智能化场景。研发四大核心技术:① 多行为时序规划快速掘进技术,创新“掘锚一体机+梭车+自移机尾”装备,融合GA−BP神经网络自适应截割、激光雷达路障感知及电力载波通信,解决“最后100 m”运输瓶颈,掘进效率与进尺分别提升 10%、15%;② 5G+数字孪生长距离定向钻探技术,结合动态方位伽马地质导向提升钻探精准度;③ 特厚煤层“自动+记忆+智能”三级放煤系统,通过异步递进调度、PID闭环控制与AI(视频+声纹)煤矸识别,平衡煤质与资源回收率;④ 区域多灾种融合预警技术,整合多源安全隐患监测数据,采用CNN−LSTM架构构建模型,预警吻合度超95%。现场应用显示,研究实现保德煤矿全场景5G覆盖,成功预警水害、甲烷超限等事件,缩短灾害预警响应时间,提升了矿井安全管理水平。该研究通过5G+工业互联网技术与煤矿核心业务深度融合,实现矿井从单一监测向“智能判识、精准预警、联动处置”跨越,为煤矿智能化高质量发展提供技术范式与实践案例。

     

    Abstract: Based on the intelligent coal mine construction task of CHN ENERGY Shendong Baode Coal Mine, this paper proposes a general construction scheme for an intelligent mine based on “5G + Industrial Internet" under the principle of ” Unified Data, Unified Model, Unified Platform, and Unified Solution", and constructs a “Four Layers + Two Wings” underground 5G integrated bearing network architecture: the Perception and Control Layer deploys various sensors to collect production and safety data, the Infrastructure Layer takes the 5G+ N×100G FlexE Hard Slicing Network as the core to achieve efficient transmission, the Smart Platform Layer undertakes data storage and in-depth analysis, the Decision and Application Layer supports multi-scenario intelligent applications, and the “Two Wings” refer to the unified data standards and industrial security protection system that ensure data interconnection and network security; medium frequency is adopted to meet the large bandwidth demand of the working face, while low frequency is used to achieve long-distance coverage of roadways, and the uplink transmission is enhanced through TDD (Time Division Duplex) time slot reversal and SUL (Supplemental Uplink) technology, and relying on FlexE slicing technology, 5 types of slices are divided to meet the latency and bandwidth requirements of different services, effectively supporting various intelligent scenarios such as fully mechanized mining inspection and remote driving of shuttle cars. Four core technologies were developed: ① Multi-behavior Time-series Planning Rapid Tunneling Technology: It innovates the “Roadheader-Bolter Integrator + Shuttle Car + Self-moving Conveyor Tail” equipment, integrates GA-BP (Genetic Algorithm-Back Propagation) neural network-based adaptive cutting, LiDAR obstacle perception, and power line carrier communication, solves the “last 100 meters” transportation bottleneck, and increases tunneling efficiency and advance rate by 10% and 15% respectively; ② 5G + Digital Twin-based Long-distance Directional Drilling Technology: It improves drilling accuracy by combining dynamic azimuth gamma geological steering; ③ “Automatic + Memory + Intelligent” Three-level Coal Caving System for extra-thick coal seams: It balances coal quality and resource recovery rate through asynchronous progressive scheduling, PID (Proportional-Integral-Derivative) closed-loop control, and AI (Video + Acoustic) coal-gangue identification; ④ Regional Multi-hazard Integrated Early Warning Technology: It integrates multi-source safety hazard monitoring data, adopts the CNN-LSTM (Convolutional Neural Network-Long Short-Term Memory) architecture to build a model, and achieves an early warning consistency rate of over 95%. Field application shows that this study has realized full-scenario 5G coverage in Baode Coal Mine, successfully warned of incidents such as water hazards and methane over-limit, shortened the disaster response time, and improved the mine safety management level. By deeply integrating 5G + Industrial Internet technology with the core business of coal mines, this study enables the mine to leap from single monitoring to “intelligent identification, accurate early warning, and linked disposal”, providing a technical paradigm and practical case for the high-quality development of coal mine intellectualization.

     

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