基于数字钻探与多尺度模型融合的隧道岩体完整性自动解译技术研究及应用

Application of automatic interpretation technology of tunnel rock mass integrity based on digital drilling and multi-scale model fusion

在多岩性与多指标钻探数据收集的基础上,综合考虑解译精度与预报效果,借助机器学习工具,提出一种基于数字钻探与多尺度模型融合的隧道岩体完整性自动解译技术。首先,对原始钻探数据有针对性的进行降噪与等距分割(0.5,1,2 m)等预处理,形成多尺度、高质量机器学习数据集;然后,进行模型参数自动寻优、训练、评估与可解释性等操作,验证模型的准确性与可靠性;最后,采用加权平均的方法进行多尺度模型解译结果的融合,以增强该技术的工程实用效果。为方便实际工程应用,以上述技术为核心开发轻量化数字钻探智能解译平台,经多条灰岩与砂岩隧道应用结果表明:对比地质雷达与常规钻探解译,多尺度模型融合解译在解译效率、预测效果等方面总体表现优异,可为隧道施工的开挖与支护提供可靠的岩体完整性信息。

By collecting the multi-lithology and multi-index drilling data,an automatic interpretation technology of tunnel rock mass integrity based on integrated algorithm and multi-scale model fusion is proposed considering comprehensive interpretation accuracy and practical effect.First,the pre-processing such as noise reduction and equidistant segmentations(0.5,1 and 2 m)is carried out of the raw data to form a multi-scale,high-quality machine learning dataset.Then the operations such as automatic parameter optimization,training,evaluation and interpretability of model are performed to verify the accuracy and reliability.Finally,the weighted average method is used to fuse the multi-scale interpretation results to enhance the engineering practical effect.In addition,in order to facilitate practical engineering applications,a lightweight automatic interpretation platform is developed.The application results of several limestone and sandstone tunnels show that compared with the conventional interpretation,the multi-scale model fusion interpretation has the overall excellent performance in interpretation efficiency and prediction effect.It can provide reliable rock mass integrity information for the excavation and support of tunnel construction.