Digital Twin Modeling for Component Troubleshooting 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 model is created using real-time data ingestion and behavior simulation, allowing for the simulation of system components and changes without altering the physical system, thereby enhancing troubleshooting efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If a 3D model is used to represent a physical system, then visualization of component locations is improved, but troubleshooting capability and simulation of changes deteriorate
Solution Approach 1:
The patent creates a digital twin model that is a virtual copy of the physical system, incorporating not just geometric representation but also behavioral and functional characteristics. This digital copy enables troubleshooting and simulation without affecting the physical system, resolving the contradiction between visualization and operational utility.
Solution Approach 2:
The digital twin model allows preliminary testing and simulation of changes before implementing them in the physical system. Engineers can troubleshoot and evaluate potential modifications in the virtual environment first, preventing costly trial-and-error on actual equipment.
2Ease of operation
If changes are made to the physical system to troubleshoot issues, then problem-solving capability is improved, but time consumption and operational disruption worsen
Solution Approach 1:
By using a digital twin as a virtual replica, all troubleshooting activities can be performed on the copy rather than the physical system. This eliminates time-consuming trial-and-error modifications to actual equipment while maintaining full troubleshooting capability.
Solution Approach 2:
The digital twin enables preliminary troubleshooting and validation of solutions before physical implementation. Engineers can identify and resolve issues in the virtual model first, significantly reducing the time required for actual system interventions.
3Ease of manufacture
If a simple 3D model is used, then model creation ease is improved, but simulation fidelity and accuracy deteriorate
Solution Approach 1:
The digital twin model is segmented into multiple levels of detail and complexity, allowing engineers to create basic geometric representations easily while adding sophisticated behavioral models only where needed. This modular approach maintains ease of creation while achieving high fidelity in critical areas.
Solution Approach 2:
The patent incorporates dynamic parameters and behavioral characteristics into the digital twin model that evolve over time, matching the actual physical system's behavior. These parameter changes enable high-fidelity simulation while the underlying model structure remains manageable and creatable through systematic processes.
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.