posted on 2024-07-13, 10:30authored byCristobal Leonardo Sierra
Critical transport infrastructure is crucial for Australian GDP having significant socio-economical impacts. Amongst various challenges, the disconnection within pre-construction, construction and post-construction are critical. This challenge is compounded with need of half decade post-construction operation, requiring asset diagnosis and predictive strategies. This research developed a novel CTI 4.0 framework to address these challenges. The CTI 4.0 framework proposed a cloud centric twin, accessed at various stages, avoiding ambiguity and data redundancy. The framework provided advantages such as utilising unmanned aerial digitisation, cognitive ability for asset diagnosis and finally predictive maintenance strategies by predicting life under harsh environmental impacts.
History
Thesis type
Thesis (PhD by publication)
Thesis note
A Thesis by Publication Submitted to School of Engineering, Swinburne University of Technology, Hawthorn, Australia, for the degreee of Doctor of Philosophy, 2022.