Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP210200765
Funding Status
Active
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Funded Activity Summary
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Funded Activity Details
Start Date: 04-2023
End Date: 04-2026
Funding Scheme: Linkage Projects
Funding Amount: $372,893.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Civil Engineering | Infrastructure Engineering and Asset Management | Environmental Technologies | Numerical Modelling and Mechanical Characterisation
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Waste Management Services | Metals (e.g. Composites, Coatings, Bonding) |
