Digital Twin Rendering Prioritization for Real-Time Responsiveness
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Solution Overview
Problem
Challenging to dynamically render real-time changes within digital twins with accuracy and responsiveness, necessitating sophisticated algorithms and methodologies.
Innovation Solution
A method and system for dynamic rendering in digital twins that prioritize rendering based on the significance of changes by predicting factors affecting data objects, grouping them based on correlations and dependencies, and determining priorities for effective real-time rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all data objects are rendered in real-time without prioritization, then rendering completeness is improved, but rendering performance and responsiveness deteriorate
Solution Approach 1:
The patent segments data objects into multiple priority groups (e.g., high, medium, low priority) based on their importance to the digital twin's accuracy and responsiveness. This segmentation allows the rendering system to process different groups at different rates, ensuring critical data is rendered in real-time while less critical data can be updated more frequently, thus resolving the contradiction between completeness and performance.
Solution Approach 2:
The patent applies partial action by selectively rendering only the most critical data objects in real-time while deferring less critical updates. This allows the system to maintain high rendering performance for essential elements while still updating all data objects periodically, achieving a balance between rendering completeness and performance.
2Speed
If data objects are grouped and prioritized based on correlations with factors, then rendering responsiveness is improved, but system complexity increases
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing correlation relationships between data objects and influencing factors before the rendering process. This pre-computed correlation data is then used during rendering to quickly determine priorities without complex real-time calculations, thus improving responsiveness while limiting the increase in system complexity to mainly data storage and pre-processing operations.
Data Source
AI summary
Disclosed is a computer-implemented method, system, and computer program product for dynamic rendering in digital twins. In embodiments, one or more factors that will change over a first time interval among a plurality of factors affecting a plurality of data objects representing the digital twin can be predicted by processing units. The data objects can be grouped into a plurality of groups by processing units based on correlations between the one or more factors and the plurality of data objects. Respective priorities of the plurality of groups can be determined by processing units. A priority of each of the plurality of groups can be determined based on correlations between the plurality of factors and the data objects in each group. The data objects can be rendered by groups by processing units based on the priorities of the plurality of groups in the first time interval.