三维地质空间模型数据集

长大隧道同步推拼盾构穿越的地质条件复杂、种类多、不确定性强，传统空间插值地质建模方法依赖人工交互、准确性低，难以满足三维地质空间高精度建模需求。针对上述问题，建立了三维地质空间模型数据集，首先，本数据集采用剖面识别与生成对抗建模方法获得地质训练数据，建立多源异构地质数据库，其次，通过数据驱动的深度学习方法，构建三维地质空间预测模型，建立验证区间三维地质空间预测建模数据，最后，采用现场勘探取孔、室内试验、第三方检测等方式，建立验证区间现场勘探验证数据，对三维地质空间模型预测数据准确度进行验证。数据集为刀盘刀具优化、掘进轴向设置等提供地质数据参考。数据集包含：1）多源异构地质数据；2）示范工程验证区间三维地质空间预测建模数据；3）示范工程验证区间现场勘探验证数据。

Shield tunneling with synchronous pushing and segment assembling for long and large tunnels faces complex, diverse and highly uncertain geological conditions. Traditional spatial interpolation-based geological modeling methods rely on manual interaction and have low accuracy, failing to meet the demand for high-precision 3D geological spatial modeling. To address these issues, a 3D geological spatial model dataset was established. First, this dataset adopts profile recognition and generative adversarial modeling methods to acquire geological training data and build a multi-source heterogeneous geological database. Second, through data-driven deep learning approaches, a 3D geological spatial prediction model is constructed, and the 3D geological spatial prediction modeling data for the verification interval is developed. Finally, via on-site borehole exploration, laboratory tests, third-party inspection and other means, on-site exploration verification data for the verification interval is established to verify the accuracy of the 3D geological spatial model prediction data. This dataset provides geological data references for cutterhead and cutter optimization, tunneling axial parameter setting and other relevant applications. The dataset includes: 1) Multi-source heterogeneous geological data; 2) 3D geological spatial prediction modeling data of the demonstration project verification interval; 3) On-site exploration verification data of the demonstration project verification interval.

搜集汇总

背景与挑战

背景概述

该数据集针对长大隧道盾构穿越的复杂地质条件，采用剖面识别与生成对抗建模、数据驱动深度学习等方法，构建高精度三维地质空间预测模型，并包含多源异构地质数据、预测建模数据和现场勘探验证数据，用于支持刀盘刀具优化和掘进轴向设置等工程应用。