Simulation System Parameter Segmentation for Phenomenon Analysis
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Solution Overview
Problem
Existing simulation systems lack the capability to support efficient additional analysis of notable phenomena, focusing primarily on improving accuracy rather than facilitating user-driven analysis of simulation results.
Innovation Solution
A simulation system that includes a processor and memory, utilizing a first evaluation function to calculate evaluation values for multiple parameters, allowing for the identification of parameter values causing a notable phenomenon and controlling the phenomenon, with data output for continuous visualization of results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional simulation methods are used to improve simulation accuracy, then the simulation accuracy is improved, but the system cannot support efficient additional analysis of notable phenomena
Solution Approach 1:
The simulation system is divided into two distinct simulation modes: a first simulation for improving accuracy by adjusting parameters based on actual results, and a second simulation for enabling additional analysis of notable phenomena. This segmentation allows each simulation type to optimize for its specific purpose without interfering with the other, thereby resolving the contradiction between accuracy improvement and analysis capability.
Solution Approach 2:
The system performs preliminary simulation to identify notable phenomena and their corresponding parameter ranges before conducting additional analysis simulations. By pre-identifying the phenomena of interest and setting appropriate parameter ranges based on first simulation results, the system prepares the groundwork for efficient additional analysis, thus enabling both accuracy improvement and analysis support.
2Measurement precision
If multiple simulations are executed with different parameters to improve accuracy, then the accuracy is improved, but the analysis time and computational resources increase
Solution Approach 1:
The system executes a first simulation to establish baseline accuracy and identify notable phenomena before performing additional analysis. By using the results of the first simulation to determine parameter ranges and select phenomena for further analysis, the system avoids unnecessary comprehensive simulations, thereby reducing overall analysis time while maintaining accuracy improvement benefits.
Solution Approach 2:
Instead of performing exhaustive simulations across all parameter ranges, the system focuses computational resources on partial simulations targeting specific notable phenomena identified in the first simulation. This selective approach performs only the necessary additional simulations required to analyze identified phenomena, reducing wasted computational time and resources.
Data Source
AI summary
A first evaluation function for executing a simulation by calculating an evaluation value using a first parameter and second parameter having values is held, a first simulation is executed, a result group including evaluation values to which a predetermined phenomenon occurs is acquired from the evaluation values calculated by the first simulation, a start value and an end value of the first parameter for analyzing the phenomenon on the basis of the result group are acquired, a second simulation is executed by calculating evaluation values corresponding to the values of the first parameter from the start value to the end value using the values of the second parameter and the first evaluation function, and data for displaying the evaluation values calculated by the second simulation in such a manner as to be continuous with the evaluation values in the result group corresponding to the start value is output.