Digital Twin Modeling for High-Fidelity Component Simulation
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Solution Overview
Problem
Existing representations of physical systems, such as 3D models, do not effectively facilitate troubleshooting or simulating the effects of changes without requiring time-consuming and challenging modifications to the actual system.
Innovation Solution
A digital twin system that models and simulates the behavior of physical systems using real-time data ingestion, allowing for 'what-if' scenario testing and control of physical components without altering the actual system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a 3D model of a physical system is created to visualize component locations, then the ease of operation for engineers is improved, but the ability to troubleshoot and simulate system changes is worsened because it requires time-consuming modifications to the actual system
Solution Approach 1:
The patent creates a digital twin, which is a virtual copy of the physical system that replicates its behavior and characteristics. This digital replica allows engineers to simulate changes, troubleshoot issues, and analyze system performance without physically modifying the actual system, thereby eliminating time-consuming modifications while maintaining operational ease
Solution Approach 2:
The digital twin enables preliminary testing and simulation of system changes before implementing them on the physical system. Engineers can pre-analyze potential modifications, predict outcomes, and optimize configurations in the virtual environment, saving time by avoiding trial-and-error physical modifications
2Reliability
If changes are made to the physical system to troubleshoot issues, then the reliability of troubleshooting is improved, but the productivity is worsened due to the challenging and time-consuming process
Solution Approach 1:
By using a digital twin as a virtual replica, engineers can perform troubleshooting and testing in the digital domain with the same reliability as physical testing, while dramatically improving productivity by eliminating the need for time-consuming physical modifications and iterative testing cycles
3Productivity
If a digital twin system is implemented to simulate system changes, then the productivity is improved by reducing time and resource usage, but the device complexity is worsened due to the need for high fidelity modeling
Solution Approach 1:
The digital twin model focuses computational resources on capturing only the essential local characteristics and behaviors relevant to the specific troubleshooting or simulation task, rather than modeling every detail of the physical system. This selective approach maintains high fidelity where needed while reducing overall model complexity and computational requirements
Data Source
AI summary
A digital twin service of a provider network allows a user to build high fidelity models (“digital twins”) for components and for systems of multiple components. For a given component, the digital twin service receives, from a user, identification of interactions for the component (e.g., inputs/outputs at the boundary), identification of data sources at the system (e.g., sensor that stream data), and/or a definition of behavior of the component (e.g., one or more behavior functions to simulate the component). The digital twin service builds a digital twin model of the component based at least on the interactions, the data sources, and the behavior. The digital twin service may also receive, from the user, an indication to bind one or more outputs of the digital twin model to one or more inputs of at least another of the digital twin models to build a digital twin model of the system.