Digital Twin Workflow Simulation Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Analyzing and optimizing the performance of physical assets through digital twins often requires analyzing the entire asset, which can be inefficient and unnecessary, as changes and issues may be isolated to specific components or configurations.
Innovation Solution
A computer-implemented method for simulating digital twin performance that allows users to selectively bypass certain input parameters and components, using customizable configurations to focus on specific parts, substitute alternative components, and provide overriding values for intermediate simulation results, enabling more targeted analysis and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire physical asset is analyzed through digital twin simulation, then comprehensive performance optimization is achieved, but analysis efficiency and time consumption deteriorate
Solution Approach 1:
The patent segments the digital twin model into multiple separate versions, each representing different components or configurations of the physical asset. This allows users to select and simulate only specific segments rather than the entire asset, thereby reducing analysis time while maintaining reliability for targeted performance optimization.
Solution Approach 2:
The patent enables users to focus simulation resources on specific components or configurations by creating separate digital twin versions with localized details. This local quality approach allows comprehensive analysis of critical areas without the time penalty of analyzing the entire asset, resolving the contradiction between reliability and time consumption.
2Measurement precision
If detailed simulation of all components is performed, then accurate performance prediction is achieved, but computational complexity and resource requirements worsen
Solution Approach 1:
By dividing the digital twin into separate versions representing different components or configurations, the patent allows users to perform detailed simulations only on selected segments. This maintains measurement precision for the simulated components while reducing overall computational complexity by excluding unnecessary elements.
Solution Approach 2:
The patent implements partial action by allowing users to simulate only the necessary portions of the digital twin model required for their specific analysis needs. This approach achieves sufficient measurement precision for the targeted components without the excessive computational resources required for complete asset simulation.
3Adaptability or versatility
If multiple digital twin versions are created and managed, then flexible and targeted simulation is achieved, but system complexity and data management burden worsen
Solution Approach 1:
The patent organizes the digital twin into separate, manageable versions representing different components or configurations. This segmentation provides flexibility and adaptability for targeted simulations while reducing management complexity by creating distinct, modular units that are easier to handle than a monolithic model.
Data Source
AI summary
Systems, methods and computer program products for simulating workflows and activities of physical assets using digital twin models. User-defined simulations are performed by selectin digital twin components being analyzed during the simulation, concentrating the analysis on the selectively defined components and bypassing components that will not be simulated. Users can design the digital twin simulation using one or more available digital twin models. The model can be the most current digital twin model, a previous version of a model or a hybridized model comprising components or portions from multiple versions of the available digital twins. Users can further customize simulations by selecting components or sections of the digital twin model to selectively bypass during the simulation or provide overriding values for non-simulated portions of the digital twin which can be used as entry criteria inputted into the next simulated section or component of the digital twin, to complete the simulation.


