Troubleshooting Support Apparatus Keyword Prioritization
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Solution Overview
Problem
In manufacturing industries, providers face a significant burden in handling a large volume of document data for troubleshooting, requiring manual selection and visualization of priority requests and data analysis, which is inefficient and time-consuming.
Innovation Solution
A troubleshooting support apparatus that acquires document data, extracts keywords with attribute information, calculates the rate of occurrence of these keywords, and determines a display manner to prioritize product data based on the calculated rates, automating the selection and visualization process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection and visualization of troubleshooting requests is performed, then accuracy in prioritization can be maintained, but productivity decreases due to the tremendous burden on providers handling large volumes of document data
Solution Approach 1:
The system enables automated self-service by having the troubleshooting support apparatus automatically extract keywords, calculate occurrence rates, and determine display manners without requiring provider intervention. The apparatus processes document data autonomously, generating prioritized visualizations that providers can directly utilize, thereby eliminating the manual burden while maintaining accuracy through systematic automated analysis
Solution Approach 2:
The patent replaces the manual mechanical process of provider-based selection and visualization with an automated information processing system. The apparatus uses computer-readable media and processing units to automatically extract keywords, calculate occurrence rates, and generate visualizations, substituting human cognitive and manual efforts with automated computational processes that handle large volumes of data efficiently
2Reliability
If providers manually determine how to visualize and analyze product data, then analysis quality can be controlled, but loss of time increases due to the tremendous burden of handling large volumes of document data
Solution Approach 1:
The system performs preliminary automated actions by pre-extracting keywords from document data, pre-calculating occurrence rates, and pre-determining display manners before providers need the information. This preliminary processing prepares the data in advance, allowing providers to immediately access pre-analyzed, quality-assured information without spending time on manual analysis, thereby reducing time loss while maintaining analysis quality
Solution Approach 2:
The patent replaces manual data analysis and visualization determination with automated computational processes. The apparatus uses processing units to systematically extract keywords, calculate occurrence rates, and generate visualizations, substituting human analysis time with automated computational operations that process large volumes of data rapidly while maintaining consistent quality standards
Data Source
AI summary
According to one embodiment, a troubleshooting support apparatus includes processing circuitry. The processing circuitry acquires multiple pieces of document data which describe content of a problem relating to multiple articles or services. The processing circuitry extracts, from the multiple pieces of document data, multiple first keywords relating to the multiple articles or services together with attribute information. The processing circuitry records the multiple first keywords in a memory for the respective pieces of attribute information. The processing circuitry determines, based on a rate of occurrence of each of multiple second keywords relating to predetermined attribute information among the first keywords recorded in the memory, a display manner of first data relating to each of the multiple second keywords.