Information processing apparatus
The information processing device addresses the challenge of lengthy analysis times by extracting and analyzing suspension performance data using frequency distributions and time windows, ensuring reduced data volume and maintained accuracy.
JP2026028526APending Publication Date: 2026-02-20TOYOTA JIDOSHA KK
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Patent Information
- Application Number
- JP2024131016
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-08-07
- Publication Date
- 2026-02-20
AI Technical Summary
Technical Problem
Existing information processing devices struggle to efficiently extract data suitable for analyzing suspension performance from large volumes of original data collected by vehicle sensors, leading to prolonged analysis times.
Method used
An information processing device that extracts data for suspension analysis by calculating frequency distributions, setting time windows, and determining similarity between original and extracted data using multiple feature quantities, allowing for reduced data volume and faster analysis.
Benefits of technology
Enables the extraction of data suitable for suspension performance analysis in a shorter time frame while maintaining analysis accuracy by reducing data volume and ensuring similarity with the original data.
✦ Generated by Eureka AI based on patent content.
Abstract
To extract data suitable for analyzing the performance of a suspension from original data.SOLUTION: A step (S110) of setting a plurality of time windows for cutting out a datum from the original datum using the sprung acceleration and the unsprung acceleration included in the original datum as feature quantities, a step (S120) of cutting out the datum from the original datum, a step (S130) of calculating a frequency distribution of the original datum and a frequency distribution of the extracted datum for each of a plurality of divided feature quantities based on a physical quantity that affects a magnitude of at least one of the sprung acceleration and the unsprung acceleration, and steps (S140 and S150) of determining whether or not the original datum and the extracted datum are similar to each other using errors of the frequency distributions. The information processor repeatedly executes steps S110 to S150 while changing the setting of a plurality of time windows, and extracts an extraction datum similar to the original datum from the original datum.SELECTED DRAWING: Figure 3
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