Lockheed Martin and NVIDIA are teaming up to create an AI powered system digital twin from Earth’s atmosphere. The project, titled Earth Observations Digital Twin, will monitor current global environmental conditions and forecast weather patterns.
Creating Earth’s digital twin
The project is being created for the National Oceanic and Atmospheric Administration (NOAA), the agency responsible for organizing data for meteorologists. NOAA receives terabyte From data about the cryosphere, Earth, atmosphere, space weather, and oceans from many space and terrestrial agencies. NOAA researchers and scientists must collect, combine and analyze that information to monitor environmental conditions and changes.
Once the Digital Observations Digital Twin is up and running, NOAA will have access to high-resolution, accurate, and timely depictions of global conditions. Unlike what is being used now, the data will be a global, in time, visualization of the current atmosphere, not a prediction model. As Lockheed Martin Research Scientist Lynn Montgomery explained“It’s kind of going to be a Google Earth-like product, but all of that feedback will be coming up in almost real time.”
In order to collect and combine data from multiple sources, advanced AI and machine learning algorithms must be used. The NVIDIA Omniverse Nucleus database engine will transform the data into the Universal Scene Description framework to enable data sharing. Lockheed Martin’s Agatha visualization platform will allow users to interact with data in a 3D environment centered around the Earth. Together, NVIDIA and Lockheed Martin will give NOAA researchers the ability to improve weather forecasts on a global scale.
The two companies will be able to Pretending One of Earth’s dual digital sea surface temperature variable data pipelines – by September 2023.
Digital twin applications
Lockheed Martin and NVIDIA already They worked together A digital twin that helps the USDA Forest Service and Colorado Department of Fire Prevention and Control fight wildfires. Using a scalable real-time simulation platform, the digital twin allows fire behavior analysts to see predictions of fire movements. It also allows emergency responders, operators and engineers to assess the impact of their suppression activities.
Digital twins are used in many other applications in a variety of industries. For example, the NFL uses digital twins to create a virtual representation of an NFL player to better predict and prevent a player from being injured. Some NFL stadiumssuch as SoFi Stadium, use a virtual building model to support daily management and daily game operations.
Architects and town planners also use it digital twins To improve efficiency and safety. For example, TK Elevator, in collaboration with Microsoft Azure, used its digital twin to create a The world’s first ropeless elevator for a tall building. The digital twin simulated various situations, such as testing an emergency brake, that would have been costly and time-consuming in the physical world. For planners, dynamic city-scale virtual models can be created to run simulations of different scenarios in areas such as traffic and energy consumption to determine potential outcomes without having to make any actual changes.
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