Multi-Sensor Motor Damage Indexing With Time-Window Search
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Solution Overview
Problem
Existing information processing devices fail to capture the characteristics of entire original data beyond vehicle speed, limiting their ability to extract relevant features for analysis.
Innovation Solution
An information processing device that calculates an index value for motor damage using extracted data from multiple vehicle sensors, employing a search process involving clustering, time windows, and relative frequency distributions to ensure accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is extracted focusing only on vehicle speed, then the extraction process is simple, but the extracted data cannot capture characteristics of other features such as temperature and duration
Solution Approach 1:
The patent segments the data extraction process into multiple stages: first extracting data based on vehicle speed thresholds, then further filtering based on temperature and duration characteristics. This segmentation allows the system to capture multi-dimensional features while maintaining a systematic extraction approach.
Solution Approach 2:
The patent transitions from one-dimensional extraction (vehicle speed only) to multi-dimensional extraction by incorporating temperature and duration as additional dimensions. The search process evaluates extracted data against multiple criteria simultaneously, enabling comprehensive feature capture without overwhelming complexity.
2Measurement precision
If the entire original data is used for analysis, then all feature characteristics are captured, but the analysis time becomes excessively long
Solution Approach 1:
The patent extracts and filters the original data by identifying and removing data points that do not meet the specified criteria (vehicle speed thresholds, temperature ranges, duration requirements). This extraction process creates a reduced dataset that maintains the essential features while significantly decreasing the volume of data requiring analysis.
Solution Approach 2:
The patent applies partial action by analyzing only the portions of data that are most relevant to the damage assessment, rather than processing the entire dataset. The search process evaluates extracted data against criteria and focuses computational resources on the most informative data segments.
3Productivity
If extracted data is used to calculate the index value, then the calculation time is reduced, but the accuracy may be compromised
Solution Approach 1:
The patent implements a feedback mechanism where the search process continuously evaluates the extracted data against the original data characteristics. The system adjusts the extraction criteria and time window parameters based on the quality of extracted data, ensuring that the reduced dataset maintains sufficient accuracy for reliable index value calculation.
Solution Approach 2:
The patent dynamically adjusts parameters such as time window duration, extraction thresholds, and data filtering criteria to optimize the balance between calculation speed and accuracy. The search process modifies these parameters based on the specific characteristics of the original data and the requirements of the damage assessment.
Data Source
AI summary
A processing device of an information processing device performs a search process. The search process includes: a first step of calculating a relative frequency distribution of each feature of the original data; a second step of setting a plurality of time windows for clipping data of a partial period of the original data; a third step of clipping data from the original data; a fourth step of calculating a relative frequency distribution of each feature of extracted data; and a fifth step of calculating an error between the relative frequency distribution of the original data and the relative frequency distribution of the extracted data, a trial from the second step to the fifth step being repeatedly performed by changing settings of the time windows. The processing device calculates an index value using the extracted data with the error equal to or less than a threshold.