Digitized fidelity

"Digitization" refers to the digital twin being a model constructed by digitizing physical entities. "Fidelity" refers to the high degree of closeness that digital twins need to have with physical entities, that is, the various indicators of physical entities can be truly presented in the digital twin, and the changes in the digital twin can also reflect the changes in the physical entity.

Real-time Interactivity

"Real time" refers to the real-time virtual mapping of the state of a digital twin to that of a physical entity. "Interaction" refers to the pipeline through which data and instructions flow between digital twins and physical entities in real-time.

Person of Foresight

"Prophet" refers to predicting the future state of a physical entity through digital twin simulation based on various real data of the entity. Knowing the future state in advance can assist users in making more reasonable decisions. "Foresight" refers to monitoring the real-time operational status of physical entities through digital twins, predicting the unstable state of the system, and anticipating potential unstable states in advance, enabling users to handle the problem more calmly.

Symbiosis and Shared Wisdom

"Symbiosis" refers to the synchronous construction of digital twins and physical entities, and their interdependence throughout the entire lifecycle of the system. On the one hand, "Shared Wisdom" refers to the sharing of intelligence (such as data, algorithms, etc.) among the various components within a single digital twin system, and on the other hand, it refers to the sharing of intelligence among the various components within a high-level digital twin system composed of multiple digital twin systems.

Multi source heterogeneous data parameterized automatic modeling

Tilt imaging and BIM automatic lightweight technology based on texture LOD

Scene clipping and hierarchical paging scheduling technology

Visualization rendering algorithm technology based on GPU and parallel architecture

Data Integration and Distributed Storage Technology for 3D Visualization

Multi source heterogeneous data parameterized automatic modeling

Realizing the expression of diverse heterogeneous data and unified semantics, characterizing the interrelationships between three-dimensional space, topology, and semantic features, thereby achieving multi-level and detailed expression of model geometry and texture, and expanding the application efficiency of spatiotemporal data.

Tilt imaging and BIM automatic lightweight technology based on texture LOD

Replace the original model with a simplified model to reduce the number of faces that need to be drawn, adopt texture LOD technology to improve display efficiency, and provide automatic lightweight and monolithic processing for a large number of tilted models in batches.

Scene clipping and hierarchical paging scheduling technology

Crop the scene based on the current visible range and distance, and dynamically page load the corresponding LOD level entities within the scene range to reduce unnecessary consumption, accelerate data scheduling and rendering efficiency.

Visualization rendering algorithm technology based on GPU and parallel architecture

By utilizing parallel scheduling strategies and the fast processing capabilities of GPUs, display data can be directly accessed and stored in video memory during the rendering process, greatly improving the efficiency of data exchange and rendering.

Data Integration and Distributed Storage Technology for 3D Visualization

3D model integration can achieve information exchange, and distributed storage provides the possibility to effectively store larger file objects, such as remote sensing images, panoramic maps, and videos.

We developed digital twin projects that serve as virtual replicas of physical assets, systems, or processes, simulating their behavior and operations in real-time through sensor data integration and advanced analytics.

These systems enable organizations to monitor, predict, and optimize the performance of their physical counterparts, improving efficiency, reducing downtime, and enhancing decision-making capabilities.

  • Industrial Maintenance Optimization.
  • Smart City Management.
  • Healthcare Simulation.
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