Particle Flow Initialization With Equal Spacing And Low Velocity Variance
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Solution Overview
Problem
Existing simulation optimization methods require repetitive and inefficient calculation processes to set initial conditions, leading to prolonged optimization times.
Innovation Solution
An information processing apparatus and method that estimates particle positions and velocities based on equal distances and minimized variance, optimizing initial conditions without extensive recalculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If repetitive calculation processing is performed to optimize initial conditions, then optimization accuracy is improved, but optimization time increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing particle distribution patterns and velocity distributions in a database before the actual optimization process. When optimizing initial conditions, the system queries the pre-prepared database for appropriate particle distributions and velocity settings based on the simulation scenario, rather than performing repetitive calculations from scratch. This significantly reduces optimization time while maintaining accuracy by leveraging pre-analyzed optimal configurations.
Solution Approach 2:
The patent uses copying by creating a database that stores copies of optimal particle distributions and velocity patterns derived from previous calculations or experimental data. Instead of repeatedly performing complex calculations, the system copies and applies appropriate pre-stored patterns to different simulation scenarios, adjusting parameters as needed. This approach maintains optimization accuracy while dramatically reducing the computational time required.
2Reliability
If complex calculation processing is repeated many times, then initial condition optimization is achieved, but calculation complexity and processing load increase
Solution Approach 1:
The patent reduces calculation complexity by performing complex particle distribution and velocity optimization calculations in advance, storing the results in a database. During actual use, the system simply queries and applies pre-calculated patterns rather than repeating the complex calculations, thereby maintaining optimization reliability while significantly reducing processing load and computational complexity.
Solution Approach 2:
The system implements self-service by automatically querying the database for appropriate particle distributions and velocity patterns based on simulation parameters, without requiring repeated complex calculations. The pre-stored database serves the system's own needs by providing ready-to-use optimal configurations, reducing both computational complexity and processing load while maintaining optimization quality.
Data Source
AI summary
An information processing apparatus includes; a data obtaining unit that obtains an average velocity of a particle flow to be simulated; a position estimation unit that estimates respective positions of particles constituting the particle flow using the obtained average velocity, based on an assumption that distances between the particles are equal; a velocity estimation unit that estimates respective velocities of the particles so as to minimize variance of the velocities of the particles; and an output unit that outputs the estimated positions and velocities of the particles.


