From digital model to digital twin in tunnel construction

Hannah Salzgeber, Melanie Ernst, Larissa Schneiderbauer, Matthias Flora
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Abstract

This article takes a further step on the digitalization path in tunneling by implementing the concept of the digital twin and examining its potential at the three levels of real-world integration: digital model, digital shadow, and digital twin (DT). It evaluates the current implementation of tunnel information modeling and its adoption in the infrastructure sector. The importance of structured and real-time data synchronization through technologies such as IoT and Big Data is emphasized. It explores advancements from tunnel model to shadow to DT, emphasizing the importance of structured and data real-time synchronization through technologies like IoT and Big Data. A comprehensive literature review highlights both technical and non-technical barriers to the implementation of DT. Continuous improvement of DT, supported by advancements in data acquisition and analytical methods, is expected to significantly enhance tunnel construction. As a main focus, this article provides a framework for a centralized and comprehensive platform for all levels of tunnel twin development, leveraging Autodesk Platform Services. It concludes with a vision for the future, discusses emerging technologies advocating for a strategic approach to digital transformation in tunneling that leverages technological innovations for sustainable development and societal benefits.

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隧道施工中从数字模型到数字孪生
本文通过实施数字孪生的概念,并从数字模型、数字影像和数字孪生(DT)这三个现实世界集成的层面来研究其潜力,从而在隧道工程的数字化道路上迈出了新的一步。报告评估了隧道信息建模的当前实施情况及其在基础设施领域的应用。报告强调了通过物联网和大数据等技术实现结构化和实时数据同步的重要性。报告探讨了从隧道模型到阴影再到 DT 的发展,强调了通过物联网和大数据等技术实现结构化和数据实时同步的重要性。全面的文献综述强调了实施 DT 的技术和非技术障碍。在数据采集和分析方法进步的支持下,DT 的持续改进有望显著提高隧道施工水平。作为重点,本文利用欧特克平台服务,为各级隧道孪生开发提供了一个集中式综合平台框架。文章最后提出了未来愿景,讨论了新兴技术,倡导采用战略性方法实现隧道工程的数字化转型,利用技术创新促进可持续发展和社会效益。
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