Degradation Analysis Recalculation Using Summary-Based Facility Extraction
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Solution Overview
Problem
Conventional data analysis methods require re-execution of the entire analytical process for raw data when parameters change, leading to inefficiencies due to the large volume of data involved.
Innovation Solution
A data analysis apparatus that uses summary information to identify which facilities require recalculation of degradation levels when parameters change, allowing for selective re-execution of the analytical process only on necessary data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If analytical process is re-executed for the entire raw data every time the parameter is changed, then the accuracy of the analysis result is maintained, but the analysis time increases significantly
Solution Approach 1:
The patent segments the raw data into multiple groups based on parameter ranges. When a parameter changes, only the groups affected by the change need to be re-executed, rather than re-processing all raw data. This segmentation allows selective re-execution of analytical processes on specific data subsets, reducing overall analysis time while maintaining accuracy for affected segments.
Solution Approach 2:
The patent performs preliminary grouping of raw data by parameter ranges before the actual analytical process. This preliminary organization enables quick identification of which data groups need re-execution when parameters change, avoiding the need to re-process unrelated data and significantly reducing analysis time.
2Loss of time
If summary information is used to extract facilities requiring recalculation, then the analysis time is reduced, but the device complexity increases
Solution Approach 1:
The patent introduces summary information as an intermediary structure that stores pre-computed degradation levels and parameter associations. This intermediary layer enables efficient identification of facilities requiring recalculation without directly complexifying the core analytical engine, as the summary information acts as a buffer between parameter changes and full re-execution requirements.
Solution Approach 2:
The system performs preliminary computation of summary information that captures essential relationships between facilities, parameters, and degradation levels. This pre-computed summary data structure enables rapid identification of affected facilities when parameters change, reducing the need for complex real-time analysis while maintaining accuracy.
Data Source
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AI summary
A data analysis apparatus (100) includes a group extracting unit (123) and an analysis executing unit (124). When a parameter is changed, by using summary information (121A), the group extracting unit (123) extracts a facility requiring recalculation of a degradation level from respective facilities corresponding to a plurality of degradation levels included in the summary information (121A). The analysis executing unit (124) recalculates a degradation level of the facility extracted by the group extracting unit (123) by using raw data of the extracted facility and the parameter after change.