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SDC ME Digital Twin Visualization Platform

Product Introduction

The SDC ME Digital Twin Visualization Platform is a digital twin visualization application development platform that enables users to create digital mappings of physical worlds in virtual spaces. Leveraging data, algorithms, and advanced technologies, it achieves perception, diagnosis, and prediction of physical environments, unlocks data value, and supports business decision-making.

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Capabilities & Features

Digital Twin Scene

Auto-modeling + GIS generates 100km² L2 models for rapid urban outlines.

1,000+ digital twin resources with material/dynamic editing.

24h sky rendering + 20+ weather presets.

Material properties enhance physical entity realism.

Heterogeneous Data Support

Integrates 30+ data sources .

In-house distributed engine handles 1B+ data points in real time using distributed computing.

Configurable workflows for data cleansing, transformation, filtering, and merging.

Business Development

Data-Adaptive Binding:Links business data to 3D components for physical-digital twin connectivity.

Component Library:100+ 2D/2.5D/3D components with customizable data display.

Event Linkage:Enables 2D/3D event configuration for digital twin apps.

3D Dynamic Simulation

AI-Driven Simulation:Machine learning + graphical sim for urban governance (traffic/flood).

Traffic Simulation:Micro-traffic flow models w/ signal/speed controls.

Flood Simulation:Fluid dynamics + elevation data analyze flood states.

Secondary Development

Code injection and pixel streaming enable open API debugging, editing, and extension.

Runtime synchronization between rendering engine APIs and JavaScript code.

Immediate testing during development improves efficiency.

Competitive Edge

Integrated Dynamic Editing

Bidirectional linkage between 3D spatial elements and 2D charts.

Self-Service Scene Editing:

User-friendly tools for custom 3D environment construction.

Plug-and-Play APIs

Open interfaces for scene customization and integration.

Elastic Cloud Rendering

Efficient utilization of cloud server resources.

Distributed Computing

Rapid processing of massive datasets.

Real-Time Analysis

Instant computation of streaming data.

Machine Vision Modeling

Enhanced realism in digital twin scene.

Application Scenario

Big Data Operation Platforms
IoT Monitoring Systems
Digital Twin Platforms
Digital Twin Platforms (Oblique Photography)
Emergency Command Centers
Decision-Support Systems

Industry Applications

Yunnan Baiyao 3D Visualization

Integrated IoT, industrial control, and production systems for real-time campus management, boosting operational efficiency.

Urban Port IMCC Command System

GIS-based visualization tracks vessel positions, dock operations, and logistics data.

Shenzhen Power Visualization Platform

Consolidated data from multiple power systems for integrated management.

Tianfu Software Park Operation Center

Pilot project (2018) using a big data platform as its core module for smart governance.

Our advantages

Implementation Value

Build

Leverages big data, simulation, and real-time rendering to visualize geographic, business, and asset data across time/space dimensions.

Use

Modular tools enable rapid construction of real-time perception, simulation, and deployment solutions.

Integrate

Unifies cloud, big data, GIS, 5G, and IoT to link existing systems and enhance data interpretation via 3D visualization.

Manage

"One system, one map, one screen" approach enables real-time situation management, data-driven precision control, and efficient resource utilization.

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