Digital Twin Simulation in Virtual Reality Environments
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Solution Overview
Problem
Current digital twin systems lack the ability to effectively simulate and visualize the operation of physical objects in virtual reality environments, particularly in complex scenarios involving multiple interacting objects, which limits their ability to predict real-world performance and optimize asset deployment.
Innovation Solution
A method and system that enable digital twin models to be simulated and visualized within virtual reality environments, allowing for the insertion of multiple digital twins to interact and respond to various operational parameters, enabling users to assess their performance and interactions, and iteratively modify parameters to simulate different conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital twin models are simulated in virtual reality environments with multiple interacting objects, then the prediction of real-world performance and optimization of asset deployment are enhanced, but the system complexity and computational requirements increase
Solution Approach 1:
The system segments the complex simulation environment into multiple independent digital twin models, each representing a specific physical object or process. These segmented twins can be simulated independently and then integrated into the virtual reality environment, reducing the computational complexity of simulating every interaction from scratch while maintaining accurate performance predictions.
Solution Approach 2:
The patent creates virtual copies (digital twins) of physical objects and processes that replicate their behavior and interactions within a virtual reality environment. These copies can be manipulated, observed, and analyzed without affecting the actual physical systems, enabling reliable performance prediction while maintaining system manageability through virtual abstraction.
2Ease of operation
If multiple digital twin models are inserted into virtual reality environments to interact and respond to operational parameters, then the visualization and assessment of operations are improved, but the computational resources and processing time increase
Solution Approach 1:
The system performs preliminary simulations of digital twin models in virtual reality environments before actual physical operations occur. By pre-simulating various scenarios and interactions, the system can assess operational effectiveness and identify potential issues in advance, improving visualization and assessment capabilities while managing computational resources through targeted simulation rather than continuous processing.
Solution Approach 2:
The digital twin models dynamically respond to operational parameters and environmental conditions within the virtual reality environment. The system adjusts the level of simulation detail and computational intensity based on the current operational state, providing detailed visualization and assessment when needed while reducing computational resource consumption during stable or less critical periods.
3Productivity
If digital twin models are used to simulate complex interactions between multiple physical objects, then the optimization of asset deployment is enhanced, but the difficulty of detecting and measuring interactions increases
Solution Approach 1:
The virtual reality environment serves as an intermediary layer between the physical objects and the analysis system. Digital twin models act as mediators that capture and represent interactions between physical objects in a controlled virtual space, making it easier to detect, measure, and analyze complex interactions that would be difficult to observe directly in the physical world.
Solution Approach 2:
The patent replaces direct physical measurement and observation systems with virtual simulation and digital modeling. Instead of relying on complex physical sensors and measurement equipment to detect interactions between multiple objects, the system uses computational models that mathematically represent these interactions, simplifying detection and measurement while enhancing optimization capabilities.
Data Source
AI summary
A method establishes a virtual reality environment for simulating operation of the digital twin model and operates the digital twin model in the virtual reality environment. The digital twin model receives operational parameters from the virtual reality environment in order to determine operational effectiveness of the digital twin model in operating within the virtual reality environment. The method further enables a user to visualize the operation of the digital twin model in the virtual reality environment. In certain embodiments, the method provides a second digital twin model of a second physical object and operates the second digital twin model in the virtual reality environment along with the first digital twin model. This may enable assessment of the interaction between the two digital twin models and/or how operation of one digital twin model may affect operation of the other digital twin model. A corresponding system and computer program product are also disclosed.