3D Rendering Engine For Digital Twin
“One Model, Dual Engines” – The Future of Digital Twin Rendering EXTWIN’s platform combines WebGL client rendering and cloud-based pixel streaming
on a single model with shared data. It delivers high-fidelity visuals across large screens, desktops, and mobile, while handling high-concurrency access—solving the long-standing dilemma between client and cloud rendering in the digital twin industry.
Supporting the lightning-fast loading and fluid operation of ultra-large-scale scenes with over 2 million components, the engine achieves a seamless transition from macro-level urban landscapes to micro-level equipment parts. Through all-element fusion technology, it integrates engineering models, GIS data, reality mesh, 3D Gaussian Splatting, and simulation data. By preserving full-precision geometry and topological relationships, it fulfills the 'Digital Twin' requirement of maintaining a global perspective while penetrating the finest details.
Built upon a unified internal coordinate system, the engine natively supports simultaneous 2D/3D rendering and synchronized operations (such as linked cross-sectioning and coordinate tracking). It enables the deep fusion of 2D technical drawings with 3D models and reality capture data. By leveraging the clarity and conciseness of 2D spatial representation, the platform delivers a comprehensive 'Planimetric + Volumetric' digital twin experience.
Leveraging a built-in physics engine, the platform enables full-scene interactivity, high-fidelity simulation, and predictable behavior. Its physical accuracy and reliability provide a robust data foundation for process modeling, equipment operations, and Embodied AI training.
Furthermore, the engine features three integrated animation designers—Component (displacement, rotation, and visibility), Camera (global fly-throughs), and Path (preset trajectory movement)—to meet simulation requirements ranging from static presentation to dynamic operational modeling.
The Visual Scene Designer supports an intuitive "drag-and-drop" workflow, allowing users to complete model layout, labeling, visual data integration, and event interactions through visual editing alone. With dozens of built-in digital twin scene elements, users can construct complex digital twin environments without writing a single line of code.
Through a suite of visual interactive tools—including excavation, flattening, terrain transparency, and model sectioning—the platform enables flexible switching between above-ground and underground interaction modes. This effectively meets the application requirements of infrastructure sectors such as municipal works, subways, water conservancy, hydropower, and oil & gas.
Beyond the integration of static engineering models, the platform features a specialized rendering core for vector and scalar fields, optimized specifically for massive triangular meshes and voxel objects. This enables the seamless fusion of dynamic, time-series simulations with static digital twin scene elements.
Built on an original Cloud-Edge Integrated architecture, the Multiverse Engine pioneers a solution to the industry challenge of balancing high concurrency with high fidelity. It achieves seamless cross-platform coverage across large-screen displays, desktops, mobile devices, and XR hardware.
The Multiverse Streaming Engine leverages cloud-based servers for real-time scene rendering, delivering high-fidelity content to terminal devices via advanced video streaming technology. With native support for ray tracing, particle simulation, and physical collision dynamics, it authentically reproduces material textures and lighting details to create a highly realistic, immersive environment.
Furthermore, relying on a "Single-Model, Dual-Engine" architectural framework, it shares the same model services and data source with the Multiverse WebGL client. This eliminates the need for redundant manual modeling or retouching during digital twin construction, significantly reducing development costs while streamlining and accelerating the entire deployment workflow.
Powered by Multiverse Engine’s proven performance, our platform serves as the core of digital twin data, delivering reliable support for industry-wide digital transformation.
