Simulation Grid Depth-to-Size Ratio for Fluid Rendering
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Solution Overview
Problem
Current simulation technologies face challenges in generating lifelike images of fluid materials like smoke or water efficiently, as they require high computational resources and rapid processing, especially in animated sequences, while maintaining visual plausibility.
Innovation Solution
A computer-implemented method that performs a second simulation using a grid with a consistent depth-to-size ratio from a camera perspective, where each cell can be in an 'on' or 'off' state, and only selected cells are subdivided for higher resolution, allowing for detailed rendering of fluid motion with reduced resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a high-resolution simulation is performed for the entire space domain to achieve visual plausibility, then the manufacturing precision is improved, but the productivity deteriorates due to high computational resource requirements and slow processing speed
Solution Approach 1:
The space domain is divided into multiple cells organized in a grid structure. Each cell can be independently processed, allowing the simulation to be distributed across multiple computational units. This segmentation enables parallel processing of different regions, improving overall processing speed while maintaining high resolution where needed.
Solution Approach 2:
The patent applies different resolution levels to different cells based on their importance or visibility. Cells that are more visible or contain critical features are simulated at higher resolution, while less important cells use lower resolution. This local quality approach maintains visual plausibility in critical areas while reducing computational load in less important areas.
2Manufacturing precision
If the simulation resolution is increased to capture high-frequency fluid motion details, then the manufacturing precision is improved, but the use of energy deteriorates due to increased computational resources required
Solution Approach 1:
Instead of applying high-resolution simulation uniformly across the entire space domain, the patent applies high resolution only to selected cells where it is most beneficial. This partial action approach captures essential high-frequency details in critical regions while avoiding the excessive computational cost of full-domain high-resolution simulation.
Solution Approach 2:
The space domain is segmented into cells with different resolution levels. By organizing the simulation in a hierarchical cell structure, the system can allocate computational resources efficiently, applying high resolution only where necessary and lower resolution elsewhere, thus reducing overall energy consumption while maintaining visual quality.
3Manufacturing precision
If a uniform high-resolution grid is used for the entire space domain, then the manufacturing precision is improved, but the device complexity deteriorates due to the large number of cells that must be managed
Solution Approach 1:
The grid structure is made dynamic and adaptive rather than static and uniform. Cells can be activated or deactivated based on their importance, and their resolution can be adjusted dynamically. This dynamic approach reduces the number of active cells that need to be managed at any given time, simplifying grid management while maintaining high resolution where needed.
Solution Approach 2:
The space domain is segmented into a hierarchical cell structure where only necessary cells are activated for high-resolution simulation. This segmentation allows the system to manage complexity by organizing cells in a structured hierarchy, enabling efficient traversal and processing without requiring all cells to be actively managed simultaneously.
Data Source
AI summary
A computer-implemented method for applying details in a simulation includes obtaining first data corresponding to a first simulation of matter in a space domain. The method includes performing, using the first data, a second simulation of the matter producing second data representing details for the first simulation, the second data distributed in the space domain using a grid where each cell has a common depth-to-size ratio from a camera perspective. The method includes rendering an image of the matter, wherein the second data is obtained from the grid and used in the rendering.