深部煤炭开采地质保障智能钻进系统及关键技术

Intelligent drilling system and key technologies for geological assurance in deep coal mining

  • 摘要: 煤矿井下钻探工程作为支撑深部煤炭资源安全高效开采的重要保障,直接服务于煤矿地质透明化体系构建和瓦斯、水害、冲击地压等地质灾害超前探查与精准防控,而传统钻进技术体系面临煤矿深部复杂地质环境感知不足、异常工况响应滞后、轨迹控制精度低、安全风险高等挑战,难以满足深部矿井智能化建设的迫切需求。为此,在深入剖析智能钻进关键技术挑战的基础上,聚焦突破极端环境下多源信息可靠感知与实时传输、钻进策略智能动态寻优、钻进动作精准执行、安全风险智能识别与快速响应等技术瓶颈,提出了深部煤炭开采地质保障智能钻进系统理论架构,明确了系统的组成模块和关键属性特征,为实现深部复杂地质条件下安全高效钻进奠定了坚实基础。核心装备层集成智能钻机、智能钻具、智能探测仪器、智能辅机,构成智能钻进系统的物理基础;智能控制层贯穿从复杂地质条件智能感知、智能解释到智能决策的全过程,融合高精度传感器和人工智能算法,推动实现煤矿井下钻进作业从“经验驱动”向“知识−数据驱动”的转变;关键工艺层是智能钻进系统的核心载体,以解决钻进工艺与深部复杂地质条件和极端工况环境的适配性为目标,包括智能回转钻进工艺和智能定向钻进工艺;协同作业层通过构建钻进过程与地质环境数字孪生模型、打通与生产系统的协同,以促进多机群协同作业和跨系统智能联动。围绕全面提升深部智能钻进系统的可靠性、整体效能和安全性,提出了研发高可靠性装备、复杂地质信息精准感知与智能解释技术、大容量低延时数据传输技术、多目标协同控制技术,以促进煤矿井下钻进作业向无人化、精准化与本质安全化发展,保障深部煤炭资源安全智能高效开采。

     

    Abstract: Drilling engineering serves as a crucial guarantee for the safe and efficient extraction of deep coal resources in underground coal mine, directly serves the construction of the mine geological transparency system and the advanced exploration and precise prevention and control of geological disasters such as gas outbursts, water hazards, and rockbursts. However, traditional drilling technology systems face challenges including insufficient perception of complex geological environments in deep coal mines, delayed response to abnormal conditions, low trajectory control accuracy, and high safety risks, making them difficult to meet the urgent demands of intelligent construction in deep mines. Therefore, based on an in-depth analysis of the key technological challenges of intelligent drilling, this approach focuses on breaking through technical bottlenecks such as reliable perception and real-time transmission of multi-source information in extreme environments, intelligent dynamic optimization of drilling strategies, precise execution of drilling actions, and intelligent identification and rapid response to safety risks. It proposes the overall architecture of an intelligent drilling system for geological guarantee in deep coal mining, clarifies the component modules and key attribute characteristics, which laying a solid foundation for safe and efficient drilling under deep and complex geological condition.Core equipment layer: integrates intelligent drill rigs, intelligent drilling tools, intelligent detection instruments, and intelligent auxiliary machines, forming the physical foundation of the intelligent drilling system. Intelligent control layer: spans the entire process from intelligent perception and interpretation of complex geological conditions to intelligent decision-making. It integrates high-precision sensors and artificial intelligence algorithms, driving the transformation of coal mine underground drilling operations from experience-driven to knowledge-data-driven. Key process layer: serves as the core carrier of the intelligent drilling system, aiming to solve the adaptability of drilling processes to deep complex geological conditions and extreme working environments. It includes intelligent rotary drilling processes and intelligent directional drilling processes. Collaborative operation layer: promotes multi-machine group collaborative operation and cross-system intelligent linkage by building a digital twin model of the drilling process and geological environment, and enabling coordination with the production system. Focusing on comprehensively improving the reliability, overall efficiency, and safety of the deep intelligent drilling system, this approach proposes the development of highly reliable equipment, precise perception and intelligent interpretation technology for complex geological information, large-capacity low-latency data transmission technology, and multi-objective collaborative control technology. These advancements aim to promote the development of coal mine underground drilling operations towards unmanned operation, precision, and inherent safety, thereby ensuring the safe, intelligent, and highly efficient mining of deep coal resources.

     

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