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    掘支运一体化快速掘进技术体系与发展展望

    Technology system and development prospects of rapid excavation with integrated excavation, support and transportation

    • 摘要: 采掘失衡长期制约我国煤矿安全高效生产。近年来,掘支运一体化快速掘进技术发展迅速,部分矿区实现月进千米的常态化掘进速度,显著缓解了采掘失衡难题。然而,随着煤炭开采向深部延伸,高地应力、复杂地质条件及半煤岩赋存环境对掘进工艺、装备与智能化技术提出了新的挑战。系统综述了掘支运一体化快速掘进技术体系,重点阐述了时空协同分区并行支护理论、全宽滚筒高效截割方法、柔性连续运输系统及三幕协同控尘技术等关键核心技术的原理、突破与应用进展,分析了各技术在破解锚固协同、高效破岩、复杂巷道运输及高浓度粉尘治理等工程难题中的作用。结合煤矿智能化建设进程,依据工程应用成熟度,将掘进智能化技术划分为常态化运行、功能验证型与大模型赋能3个层次:常态化运行技术包括远程集控、多机协同与电子围栏等;功能验证型技术包括定位定姿、自适应截割与智能锚护等;大模型赋能技术主要包括设备智能运维、围岩状态滚动建模与支护工艺智能化、煤岩界面实时感知及具身智能掘进等。最后,立足数字岩石力学发展趋势,提出精准自主掘进与数字岩石力学深度融合的学术思路,构建以地质结构与物性透明、应力损伤状态透明、灾害风险透明为核心内涵的数字掘进新模式,为深部复杂条件下煤矿安全、高效、智能、无人化掘进提供理论支撑与技术引领。

       

      Abstract: The safe and efficient production of coal mines in China has long been constrained by the mining-excavation imbalance. In recent years, integrated rapid excavation-support-transportation technology has advanced rapidly, and a routine advance rate of over 1 000 m per month has been achieved in some mining areas, significantly alleviating the mining-excavation imbalance. However, as coal mining extends to greater depths, high in-situ stress, complex geological conditions, and semi coal-rock occurrence environments pose new challenges to excavation processes, equipment and intelligent technologies. This paper systematically reviews the integrated rapid excavation-support-transportation technical system, focusing on the principles, breakthroughs and application progress of core technologies, including spatiotemporal collaborative zoned parallel support theory, high-efficiency full-width drum cutting methods, flexible continuous transportation systems, and three-curtain collaborative dust control technology. It also analyzes the roles of these technologies in addressing engineering challenges such as bolt-support coordination, efficient rock breaking, complex roadway transportation and high-concentration dust management. In the context of intelligent coal mine development and based on engineering application maturity, intelligent excavation technologies are classified into three levels: routine operation, function-verification type, and large-model empowerment. Routine operation technologies mainly include remote centralized control, multi-machine coordination and electronic fences; function-verification technologies mainly include positioning and attitude determination, adaptive cutting and intelligent bolt support; and large-model-empowered technologies mainly include intelligent equipment operation and maintenance, rolling modeling of surrounding rock conditions and intelligent optimization of support processes, real-time perception of coal-rock interfaces, and embodied intelligent excavation. Finally, based on the development trend of digital rock mechanics, a research approach that deeply integrates precise autonomous excavation with digital rock mechanics is proposed, a new digital excavation paradigm is constructed with transparency in geological structures and physical properties, stress-damage states, and disaster risks as its core connotations, thereby providing theoretical support and technical guidance for safe, efficient, intelligent and unmanned heading in deep coal mines under complex conditions.

       

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