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15 December 2020 News Release

Launched earlier this year, the NSW Digital Twin incorporates a four-dimensional visualisation platform (Digital Twin Visualisation Service, DTVS) developed in collaboration with Data61.

To help boost its capabilities, a new 3D spatial dataset will be added into the NSW Spatial Digital Twin, mapping the locations of telecommunications towers and assets across NSW to enable emergency services to better protect these vital locations before and during a disaster.

"The new dataset will inform emergency responders as to what telecommunications services are and are not accessible for operational use, what services are available to communities, and will help ensure residents have the greatest prospect of retaining communications and connectivity during a crisis," said Bruce Thompson, Executive Director of NSW Spatial Services.

Built on Data61's TerriaJS platform the Visualisation Service utilises secure open-source data catalogue Magda to securely bring together, organise and visualise data from public agencies and the private sector, enabling emergency services’ disaster planning, preparedness, response and recovery.

The NSW Independent Bushfire Enquiry identified the loss of connectivity as a recurring issue throughout the last bushfire season, with the destruction of critical communications infrastructure across the state leaving at-risk communities and emergency responders on occasion cut-off from the outside world.

The enquiry found that the reliable sharing of critical infrastructure, telecommunications and spatial information will be a key component to preventing a similarly devastating summer.

"There is nothing more powerful than the spatial layers to paint the picture about what’s at risk, so having access to the Digital Twin allows us to invest in preventative and mitigation strategies," says Shane Fitzsimmons, Head of Resilience NSW, and previously NSW Rural Fire Service Commissioner, in a NSW Spatial Services showcase video. "In an unfolding emergency, like a bushfire, we can know in advance what’s likely to happen in that fire in the next few days, making sure we can shore up protection as much as we can."

"Having a Digital Twin for communications infrastructure means we can factor into our risk planning and our annual treatments in the months and years before a fire impact," explains Mr Fitzsimmons. "In the event that something is impacted, we can put in contingencies for servicing resupply and repair to get it back up and running as quickly as we can."

Mats Henrikson, Web Geospatial Systems Group Leader at CSIRO's Data61 said this application of the Digital Twin highlights its role as an ecosystem enabling data infrastructure, helping governments and industry make better decisions on environmental management, natural resource management, as well as emergency management, and informing infrastructure planning and delivery.

"The Digital Twin Visualisation Service leverages Data61's deep strength in web-mapping and visualising data in 4D (3D + time, which is the ability to look forward and back in time) to build a real-world ‘digital twin’ that can help protect communities and assets in times of need," Mr Henrikson concludes.


Background information

About (DSC) Spatial Services

Spatial Services, a division of the Department of Customer Service, provides New South Wales’ spatial and land information services. Our authoritative data products provide the foundation to NSW’s mapping and spatial information systems and are used for building better services across the community, government, industry and the environmental sectors.

About CSIRO’s Data61

CSIRO’s Data61 is the data and digital specialist arm of Australia’s national science agency. We are solving Australia’s greatest data-driven challenges through innovative science and technology. We partner with government, industry and academia, through the D61+ Network, to conduct mission-driven research for the economic, societal and environmental benefit of the country. Our research expertise includes artificial intelligence and machine learning, robotics, cybersecurity, privacy preserving technologies, blockchain and analytics.

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