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An Integrated Relational Database for Tracking Rock Mass Data During Tunnelling

机译:隧道期间跟踪岩体数据的集成关系数据库

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摘要

There is an immense amount of geological and monitoring data that can be collected during tunnelling.rnThe organization and ready use of this data determines how effectively the data can be utilized in realtimernanalysis and visualization. The ongoing collaborative research project AMADEUS (AdaptivernReal-Time Geological Mapping Analysis of Underground Space) being conducted at Virginia Techrnwhich integrates real-time data collection, analysis, and visualization of geological and monitoringrndata as a tunnel is advanced. A well structured database is a key component to the success ofrntunnelling operations when large amounts of data are acquired. A database for tracking and organizingrntunnelling data has been designed as a part of the AMADEUS research project. This paper providesrndesign details of this database and its implementation to AMADEUS.rnThe database design allows for the integration of the main aspects of the AMADEUS project,rnwhich are as follows: digital imaging and interpretation of tunnel geology, statistical processing ofrnjoint data to build stochastic geological models, development and advancement of computational toolsrnfor rock mass modelling, computer tomography to detect and map stress changes and concentrations,rnvirtual environment (VE) for visualization & interaction with a virtual excavation model. Using therndatabase to integrate all these aspects, allows for quick reliable recording and sharing of location basedrndata.
机译:在隧道化过程中可以收集到大量的地质和监测数据。对该数据的组织和及时使用决定了如何在实时分析和可视化中有效利用这些数据。正在进行的协作研究项目AMADEUS(地下空间的自适应实时地质制图分析)正在弗吉尼亚理工大学进行,该项目将实时数据收集,分析以及可视化可视化集成到隧道中。当获取大量数据时,结构良好的数据库是成功进行隧道操作的关键组件。作为AMADEUS研究项目的一部分,已经设计了一个用于跟踪和组织隧道数据的数据库。本文提供了该数据库的设计细节及其在AMADEUS上的实现。该数据库设计允许整合AMADEUS项目的主要方面,包括以下内容:隧道地质的数字成像和解释,联合数据的统计处理以建立随机地质模型,用于岩体建模的计算工具的开发和发展,用于检测和绘制应力变化和浓度的计算机层析成像技术,用于可视化和与虚拟挖掘模型交互作用的虚拟环境(VE)。使用数据库来集成所有这些方面,可以快速可靠地记录和共享基于位置的数据。

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