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An efficient and resilient digital-twin communication framework for smart bridge structural survey and maintenance

Gao, Yan, Li, Haijiang and Xiong, Guanyu 2022. An efficient and resilient digital-twin communication framework for smart bridge structural survey and maintenance. Presented at: 29th EG-ICE International Workshop on Intelligent Computing in Engineering 2022, Aarhus, Denmark, 06-08 July 2022.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Status: In Press
Schools: Engineering
Date of First Compliant Deposit: 12 April 2022
Date of Acceptance: 28 March 2022
Last Modified: 09 Jul 2022 01:30
URI: https://orca.cardiff.ac.uk/id/eprint/149063

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