Digital Twin Developments Projects
A digital twin is a virtual representation of real-world entities and processes, synchronized at a specified frequency and fidelity.
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Digital Twin for Real -Time sensitive urban design decision making
A Decision Support Tool was developed in CSDILA Digital Twin to understand the stormwater capacity of proposing new road networks in each catchment area.
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Fishermans Bend Digital Twin
This project enables spatial information to be searched, discovered, aggregated and visualised seamlessly.
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Coastal flood platform
A data visualiser and distributer to share with those interested in visualising the coastal flood impacts both globally and regionally.
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Development Envelope Control (DEC)
A collaboration between CSDILA and the University of Melbourne’s Campus Planning and Design team for generating an optimised building envelop based on planning controls.
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Surge capacity analysis and visualisation tool for the Fire Incident Report System (FIRS)
A spatially enabled decision support tool to visualise volunteer firefighting capacity across Victoria.
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PedDesign
The PedDesign tool enables analysis of pedestrian movement. This project is a collaboration with ARUP.
A digital twin is a virtual representation of real-world entities and processes, synchronized at a specified frequency and fidelity.
Digital Twin advancements are receiving great attention across academia and industry, and the Centre for SDIs and Land Administration is at the forefront of their research and development.
The Digital Twin Consortium’s definition of a Digital Twin is as follows:
A digital twin is a virtual representation of real-world entities and processes, synchronized at a specified frequency and fidelity.
- Digital twin systems transform business by accelerating holistic understanding, optimal decision-making, and effective action.
- Digital twins use real-time and historical data to represent the past and present and simulate predicted futures.
- Digital twins are motivated by outcomes, tailored to use cases, powered by integration, built on data, guided by domain knowledge, and implemented in IT/OT systems.
CSDILA has developed leading-edge digital twin solutions with industry and government partners. Our agile in-house design and development team has the technical expertise and resources to implement quality digital twin solutions rapidly. We are committed to research to evolve the maturity of digital twins and are able to build collaborative, interactive 3D, AR and VR visualisations that incorporate 2D and 3D data and services to meet business and decision-making requirements.
The CSDILA-Digital Twin platform is designed in response to requirements for finding, accessing, aggregating, and visualising different datasets maintained and hosted in disparate databases across state and local governments and other data custodians. To facilitate seamless integration of data and technology components, the open standards are adopted.
Contact
Research and development team
The core team of staff and students working on various Digital Twin projects across government and industry.
Prof Abbas Rajabifard, Director Centre for SDIs and Land Administration (CSDILA)
Dr Soheil Sabri, Research Fellow, Urban Analytics Data Infrastructure
Dr Benny (Yiqun) Chen, Research Fellow, Systems Architect and Developer
Dr Davood Shojaei, Lecturer, Department of Infrastructure Engineering
Yibo Zhang, Research Assistant
Yuke Xie, Research Assistant
Dr Neda Malekzadeh, Research Associate
Anbin Hou, Research Developer
Michael (Tong Long) Song, Research Developer
Bardia Zamani Abnili, Research Developer