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李清波, 杜朋召. 基于边缘阈值分割的钻孔图像RQD自动分析方法研究[J]. 岩土工程学报, 2020, 42(11): 2153-2160. DOI: 10.11779/CJGE202011022
引用本文: 李清波, 杜朋召. 基于边缘阈值分割的钻孔图像RQD自动分析方法研究[J]. 岩土工程学报, 2020, 42(11): 2153-2160. DOI: 10.11779/CJGE202011022
LI Qing-bo, DU Peng-zhao. Automatic RQD analysis method based on information recognition of borehole images[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(11): 2153-2160. DOI: 10.11779/CJGE202011022
Citation: LI Qing-bo, DU Peng-zhao. Automatic RQD analysis method based on information recognition of borehole images[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(11): 2153-2160. DOI: 10.11779/CJGE202011022

基于边缘阈值分割的钻孔图像RQD自动分析方法研究

Automatic RQD analysis method based on information recognition of borehole images

  • 摘要: RQD是评价岩体完整性的重要指标,传统获取方法受钻进工艺、取芯质量和回次长度影响较大,不能客观反映岩体质量。针对该问题,提出了一种基于边缘阈值分割的钻孔图像RQD自动分析方法。该方法首先对钻孔图像进行预处理和边缘阈值分割,实现图像中结构面和破碎带目标筛分;然后,对筛分出的目标区域进行编码,并进行连通区合并分析,确定影响RQD分析的有效目标;最后,提取有效目标中结构面和破碎带的位置、宽度信息,计算钻孔岩体RQD值。以泾河东庄水利枢纽工程坝址区钻孔为例,进行图像RQD自动分析,结果与钻孔图像、波速测试结果一致性较好,提高了钻孔RQD统计的准确性。该方法丰富了RQD获取途径,为评价岩体完整性提供了一种快速有效的方法。

     

    Abstract: RQD is an important index for evaluating the integrity of rock masses. The traditional methods are greatly affected by drilling process, core quality and run length, and cannot objectively reflect the quality of rock masses. To solve this problem, An automatic RQD analysis method based on the edge threshold segmentation of borehole images is proposed. This method first performs preprocessing and edge threshold segmentation on the borehole images to achieve target screening. Then, encode the screened target area is encoded, and the connected areas are merged to determine the effective targets that affect the RQD analysis. Finally, the location and width of the structural plane and fracture zone are extracted, and the RQD of boreholes is calculated. For a case study of the Dongzhuang Dam at Jinghe River, the automatic RQD analysis is performed, and the achieved results are in good agreement with the borehole images and the coefficient of rock mass integrity. The proposed method improves the accuracy of RQD statistics, enriches the acquisition of RQD, and provides a fast and effective method for evaluating the rock mass integrity.

     

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