大直径灌注桩旋挖智能数字化钻进技术研究.

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Titel: 大直径灌注桩旋挖智能数字化钻进技术研究. (Chinese)
Alternate Title: Research on Intelligent Digital Drilling Technology for Rotary Digging of Large Diameter Cast-in-place Pile. (English)
Autoren: 杜子纯, 雷 斌, 冯栋栋, 李太为, 李 云
Quelle: Guangdong Architecture Civil Engineering; Oct2025, Vol. 32 Issue 10, p26-86, 5p
Schlagwörter: KARST, GEOLOGICAL modeling, BUILDING foundations, MECHANIZATION, DRILLING machines (Manufacturing), KRIGING, GEOSPATIAL data, MACHINE-to-machine communications
Geografische Kategorien: KARST (Slovenia & Italy : Region)
Abstract (English): To mitigate hole collapse and drilling deviation during the construction of large-diameter cast-in-place piles in karst areas-problems arising from inadequate geological characterization, presents a Python-based modeling system. This system uses the Kriging interpolation algorithm to construct 3D stratigraphic and karst cave models with sub-meter accuracy. The system automatically analyzes the spatial distribution of karst features and the inclination of the bedrock surface at each pile location. By integrating industrial IoT technology, it transmits processed geological data via a cloud platform to the drilling terminal. This enables dynamic visualization of the spatial relationships between the drill bit, surrounding strata, and karst cavities during operation, and provides advanced intelligent warnings. This technology has been successfully applied in the construction of large-diameter cast-in-place piles in karst-developed areas, assisting rotary drill operators in intuitively perceiving geological conditions near the drill bit, reducing adverse impacts from cavities and inclined bedrock on drilling operations, thereby providing a new technical paradigm for intelligent pile foundation construction under complex geological conditions. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 针对传统大直径灌注桩旋挖施工中因岩溶地质信息感知不足引发的塌孔、偏钻等问题, 通过 Python 编程平台基于克 里金插值算法构建亚米级精度三维地层模型和溶洞模型, 自动解析桩位处岩溶空间分布及岩面倾斜特征; 结合工业物联网技术将 地质数据云端推送至钻机终端, 实现钻进过程地层-岩溶-钻头空间关系的动态可视化与超前智能预警。该技术已在溶洞发育区 的大直径灌注桩施工中成功应用, 帮助旋挖钻机操作员直观感知钻头处的地质情况, 减少溶洞、斜岩对钻进的不利影响, 为复杂地 质条件下的智能化桩基施工提供新的技术范式。 [ABSTRACT FROM AUTHOR]
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Datenbank: Complementary Index
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Abstract:To mitigate hole collapse and drilling deviation during the construction of large-diameter cast-in-place piles in karst areas-problems arising from inadequate geological characterization, presents a Python-based modeling system. This system uses the Kriging interpolation algorithm to construct 3D stratigraphic and karst cave models with sub-meter accuracy. The system automatically analyzes the spatial distribution of karst features and the inclination of the bedrock surface at each pile location. By integrating industrial IoT technology, it transmits processed geological data via a cloud platform to the drilling terminal. This enables dynamic visualization of the spatial relationships between the drill bit, surrounding strata, and karst cavities during operation, and provides advanced intelligent warnings. This technology has been successfully applied in the construction of large-diameter cast-in-place piles in karst-developed areas, assisting rotary drill operators in intuitively perceiving geological conditions near the drill bit, reducing adverse impacts from cavities and inclined bedrock on drilling operations, thereby providing a new technical paradigm for intelligent pile foundation construction under complex geological conditions. [ABSTRACT FROM AUTHOR]
ISSN:16714563
DOI:10.19731/j.gdtmyjz.2025.10.006