Model Slice Analysis for Dynamic System Simulation
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Solution Overview
Problem
Complex dynamic systems models become increasingly difficult to analyze as they grow, making it time-consuming and resource-intensive to identify components affecting specific behaviors, especially for users without expertise in numerical solutions for dynamic systems.
Innovation Solution
The system generates a model slice that isolates only the components active during a specific period, preserving context, allowing for simplified simulation and design changes by transforming and integrating these slices back into the original model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the model includes all components of the dynamic system, then the simulation accuracy is improved, but the analysis time and computational resources increase
Solution Approach 1:
The patent divides the complex dynamic system model into multiple temporal slices, where each slice contains only the components active during a specific time period. This segmentation allows the model to be analyzed in smaller, manageable portions rather than processing the entire system at once, thereby reducing analysis time while maintaining simulation accuracy for each time period.
Solution Approach 2:
The patent extracts and removes inactive components from each temporal slice, keeping only the relevant active components. This extraction process reduces the computational burden by eliminating unnecessary elements from each analysis step, directly addressing the contradiction between including all components for accuracy and reducing components for faster analysis.
2Measurement precision
If the model includes all components of the dynamic system, then the simulation accuracy is improved, but the computational resources required increase
Solution Approach 1:
By segmenting the model into temporal slices with only active components in each slice, the computational resources required for each analysis step are reduced. This segmentation maintains simulation accuracy by preserving all necessary components within their relevant time contexts while avoiding the overhead of processing inactive components.
Solution Approach 2:
The extraction of inactive components from each temporal slice directly reduces computational resource consumption. By removing unnecessary elements from each time period's model, the patent decreases the processing power and memory required while maintaining the accuracy needed for simulating active system behavior.
3Adaptability or versatility
If design changes are made to the complex model, then the system improvement is achieved, but the time to implement and analyze changes increases
Solution Approach 1:
The temporal slicing of the model enables design changes to be implemented and analyzed in isolated time periods rather than requiring full-system reanalysis. This segmentation allows engineers to make targeted modifications to specific slices without affecting the entire model, significantly reducing the time required to implement and validate design changes while maintaining overall system adaptability.
Data Source
AI summary
A computer-based model having executable semantics may be used to simulate the behavior of a system. A substructure of interest is sliced from the model and analyzed to determine a transformation of the slice while preserving some context of the model. The transformed slice may be further manipulated outside of the model, integrated back into the model in place of the original slice, or used in other ways.