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    煤矿透明地质研究现状和展望

    Research status and prospects of transparent geology in coal mines

    • 摘要: 透明地质作为煤矿智能化开采的核心支撑技术,通过融合地质勘探、井巷探测、物探、钻探等多源异构数据,优化探测装备与解释方法,结合高精度三维地质建模与动态更新算法,实现对地下复杂地质条件(如断层、陷落柱、煤层厚度变化、水文异常体等)的高精度可视化表达与超前动态预测,为采掘工艺智能决策、灾害风险预警及开采系统协同控制提供了可靠的地质保障,是实现煤炭安全、高效、绿色开采的关键基础。在系统梳理透明地质概念内涵与技术架构的基础上,重点阐述了多源数据融合、精细探测技术、动态建模与可视化、地质信息服务平台等核心关键技术的研究进展;结合典型应用实践案例,分析了透明地质在工作面智能化回采、掘进超前探测、灾害防治等方面的实践成效;深入剖析了当前在数据标准化程度、建模实时性、跨尺度融合及智能决策联动等方面存在的突出问题;展望了透明地质与数字孪生、人工智能、大数据等前沿技术深度融合的发展方向,以期为煤矿智能化地质保障体系的构建提供理论支撑与工程参考。

       

      Abstract: As a core supporting technology for intelligent mining in Coal Mines, transparent geology enables high-precision visualization and dynamic advance prediction for underground complex geological conditions by integrating multi-source geological data of geological exploration, well and tunnel detection, geophysical exploration and drilling, optimizing detection methods and modeling techniques, combining high-precision 3D geological modeling with dynamic updating algorithms. The technology provides reliable geological support for intelligent decision-making in mining processes, disaster risk warning, and collaborative control of mining systems, and is a key foundation for achieving safe, efficient, and green coal mining. On the basis of systematically sorting out the connotation and technical architecture of transparent geological concepts, this paper focuses on the research progress of core key technologies such as multi-source data fusion, fine detection technology, dynamic modeling and visualization, and geological information service platform. Based on typical application cases, the practical effectiveness of transparent geology in intelligent mining, advanced detection of excavation and disaster prevention in working faces was analyzed. this paper deeply analyzes the prominent problems in data standardization, real-time modeling, cross-scale fusion and intelligent decision-making linkage, looks forward to the development direction of deep integration of cutting-edge technologies such as transparent geology, digital twin, artificial intelligence and big data, so as to provide theoretical support and engineering reference for the construction of an intelligent geological support system for coal mines.

       

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