Confirmation of Candidature - Smart Campus: Framework for Digital Twin Implementation

This project aims to develop a Digital Twin system of the University of Southern Queensland Springfield Campus, enabling real-time data collection and predictive decision making to improve monitoring, management, and maintenance of the buildings. The specific objectives of the project are:

1.         Process improvement - Examine existing data collection processes to enhance the traditional methods.
2.         Modelling and Simulation - Combine the existing documents of the buildings with the scans to create a unifies 3D platform
3.         Improved data interface - test an automated data collection system for building condition assessment.
4.         Evaluate the historical data for trend reporting ¿ monitoring asset performance and estimating asset repairs 
5.         Trial some what-if analysis - Simulating future scenarios to predict building behaviour

Digital technologies provide new ways of generating and securing value across the lifecycle of an asset, enabling widespread transformations in methodology (Love & Matthews, 2019). This project will propose a Digital Twin platform for Springfield campus buildings that utilises technologically driven processes to improve the collection and processing of asset information and assist in strategic decision-making process. Digital Twins improve building performance in five categories:

-           Data Storage and Analysis
-           Decision Support and Monitoring
-           Asset Management and Maintenance
-           Efficiency and Performance
-           Collaboration and Communication
This innovative system will be developed to increase efficiency and effectiveness in maintenance and management of the buildings, reducing energy consumption and help achieve a more sustainable campus. 

For more information, please email the Graduate Research School or phone 0746 311088.