GE Digital Twin
Apply advanced analytics and machine learning to reduce operational costs and risks. Digital twins are a key piece of the digital transformation puzzle. They create an accurate virtual replica of physical objects, assets, and systems to boost productivity, streamline operations and increase profits. Digital Twin is most commonly defined as a software representation of a physical asset, system or process designed to detect, prevent, predict, and optimize through real time analytics to deliver business value. At GE Digital, we are focused on how digital twin software can help our customers across three core areas: Asset, Network, and Process. Monitor, simulate and control an asset, process or network as an effective strategy to improve system performance. Protect the health and safety of employees, the environment, and business objectives, by reducing asset- and process-related incidents and avoiding unplanned downtime.
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3DtoMe
3DtoMe is an innovative app designed for seamless collaboration, creation, and sharing of digital twins across the web, including iOS, macOS, and VisionOS.
Utilizing advanced technologies, 3DtoMe enables users to capture, create, and engage with 3D objects in real time.
Key features:
- Area Mode and Object Capture: Rapid digital twin creation (iOS).
- High-Resolution 3D Exports: 16K textures & Quad Mesh support (macOS).
- Spatial Drawing and Spatial Collaboration: Real-time annotations and SharePlay-based teamwork (VisionOS).
- QuickLook Integration and web view: Instantly share and view 3D models in QuickLook or embed them in websites and e-commerce platforms.
Our business model offers free and subscription tiers, providing scalable solutions for design, education, and industry, with a focus on sustainability by reducing physical transport needs.
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DC-E DigitalClone for Engineering
DigitalClone® for Engineering is the world's only gearbox reliability prediction solution integrating multiple scales of analysis in a single software package. In addition to modeling and analysis capabilities at the gearbox and gear/bearing levels, DC-E is the only solution available that models fatigue life based on detailed, physics-based models of the material microstructure (US Patent 10474772B2).
DC-E enables construction of a gearbox digital twin with high value across all stages of the lifecycle of the physical asset - from design and manufacturing optimization to component supplier selection to failure root cause analysis to condition-based maintenance and to prognostics. This computational environment drives down the time and cost to bring new designs to the market and to sustain them over time.
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AWS IoT TwinMaker
Use your existing IoT, video, and enterprise application data where it already lives, without needing to reingest or move the data to another location. Save time with an automatically generated knowledge graph that binds your data sources to virtual replicas of physical systems to accurately model real-world environments. Get an immersive 3D view of your systems and operations to optimize efficiency, increase production, and improve performance. AWS IoT TwinMaker makes it easier for developers to create digital twins of real-world systems such as buildings, factories, industrial equipment, and production lines. AWS IoT TwinMaker provides the tools you need to build digital twins to help you optimize building operations, increase production output, and improve equipment performance. With the ability to use existing data from multiple sources, create virtual representations of any physical environment, and combine existing 3D models with real-world data.
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