An Efficient and Resilient Digital-twin Communication Framework for Smart Bridge Structural Survey and Maintenance Article Swipe

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Yongqiang Gao , Haipo Li , Guangya Xiong ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.7146/aul.455.c207

A bridge digital twin (DT) is expected to be updated in near real time during inspection and monitoring but is usually subject to massive heterogeneous data and communication constraints. This work proposes an efficient framework for a bridge DT with decreased communication complexity to achieve updates synchronously and provide feedback to the physical bridge in time. The integrated edge computing and non-cellular long-distance wireless communication enable DT resilience when cloud servers become unresponsive due to the loss of internet connection. This framework is validated by different scenarios for DTs in support of bridge inspection and monitoring. It is demonstrated that the framework can enable dynamic interaction between on-site inspection and online bridge DT during the survey as well as knowledge transfer among different sectors in time. It can also support local decision-making on a single bridge as well as regional dynamic coordination for multiple bridges without cloud-server involvement.

Related Topics

Computer Science

Resilience (Materials Science)

Enhanced Data Rates For Gsm Evolution

Concepts

Bridge (graph theory) Cloud computing Computer science Server Resilience (materials science) Enhanced Data Rates for GSM Evolution Distributed computing The Internet Wireless Edge computing Computer network Telecommunications Physics World Wide Web Operating system Medicine Thermodynamics Internal medicine

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Type: article
Language: en
Landing Page: https://doi.org/10.7146/aul.455.c207
PDF: https://ebooks.au.dk/aul/catalog/download/455/312/1855-2?inline=1
OA Status: gold
Cited By: 1
References: 15
Related Works: 10
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DOI: https://doi.org/10.7146/aul.455.c207

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Title: An Efficient and Resilient Digital-twin Communication Framework for Smart Bridge Structural Survey and Maintenance

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-06-20

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Authors: Yongqiang Gao, Haipo Li, Guangya Xiong

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Landing page: https://doi.org/10.7146/aul.455.c207

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Concepts: Bridge (graph theory), Cloud computing, Computer science, Server, Resilience (materials science), Enhanced Data Rates for GSM Evolution, Distributed computing, The Internet, Wireless, Edge computing, Computer network, Telecommunications, Physics, World Wide Web, Operating system, Medicine, Thermodynamics, Internal medicine

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Cited by: 1

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