Resultant Digital Replica via Component Aggregation
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Solution Overview
Problem
Current digital twin technologies lack the ability to efficiently combine and adapt components from multiple digital models to meet specific requirements for new products, processes, or services, limiting their effectiveness in simulation and performance analysis.
Innovation Solution
A method and system that access and combine components from multiple digital twin models to generate a resultant digital replica model, allowing for simulation and identification of performance issues, enhancements, and modifications by aggregating and adapting selected components to meet specified needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If components from multiple digital twin models are combined to create a resultant digital replica, then adaptability and versatility are improved, but device complexity increases
Solution Approach 1:
The patent segments digital twin models into reusable components that can be independently selected and combined. This allows complex digital twin functionality to be broken down into manageable units, enabling adaptability without proportionally increasing overall system complexity.
Solution Approach 2:
The patent creates a universal component library where single components can serve multiple functions across different digital twin models. This multi-functionality increases adaptability while reducing the total number of components needed, thereby managing complexity.
2Productivity
If a resultant digital replica model is generated by combining components from multiple models, then productivity is improved, but manufacturing precision may worsen
Solution Approach 1:
The patent implements validation and verification mechanisms that provide feedback when components are combined. This ensures that the resultant digital replica maintains required precision and accuracy standards, preventing degradation despite the productivity gains from component reuse.
Solution Approach 2:
The patent allows dynamic adjustment of parameters during the component combination process to maintain precision. By modifying parameters such as tolerance levels, data accuracy requirements, and validation thresholds, the system preserves manufacturing precision while enabling rapid productivity improvement through component reuse.
Data Source
AI summary
A method, computer program product, and/or system is provided for generating a resultant digital replica model, comprising: accessing a plurality of digital replica models; receiving a selection of components associated with a first digital replica model of the plurality of digital replica models; receiving a selection of components associated with a second digital replica model of the plurality of digital replica models; generating a resultant digital replica model based at least in part on the selection of components associated with the first digital replica model and the selection of components associated with the second digital replica model; and simulating physical operations based on the resultant digital replica model.