Context-Based Diagnostic Modeling for Abnormal Sound Identification
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Solution Overview
Problem
Existing diagnostic systems for image forming apparatuses are unable to accurately determine the source of abnormal sounds due to insufficient operation information, leading to incorrect diagnoses.
Innovation Solution
A diagnostic device that includes a reception unit for receiving context and sensing information, and a determination unit that uses models corresponding to the context information to accurately diagnose the state of the target item, including the generation of models for specific operations and tools to enhance diagnostic accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If operation timing chart with basic operation information is used for diagnosis, then the diagnostic system can be simplified, but the accuracy of identifying abnormal sound generation source deteriorates
Solution Approach 1:
The patent segments the operation information into multiple detailed categories including operation timing, operation state, tool information, and workpiece information. This segmentation allows the diagnostic system to maintain simplicity while capturing comprehensive details needed for accurate abnormal sound source identification.
Solution Approach 2:
The patent adds multiple dimensions to the operation information beyond basic timing data. By incorporating operation state, tool information, and workpiece information as additional dimensions, the system achieves high diagnostic accuracy without proportionally increasing system complexity.
2Measurement precision
If detailed operation information including operation state, tool information, and workpiece information is collected, then the accuracy of diagnosing abnormalities is improved, but the complexity of the diagnostic system increases
Solution Approach 1:
The patent creates a universal operation information collection framework that can handle multiple types of information (operation timing, state, tool information, workpiece information) through a unified approach. This multi-functionality allows the system to maintain relatively simple architecture while gathering comprehensive diagnostic data.
Solution Approach 2:
The patent performs preliminary organization and categorization of operation information before diagnostic analysis. By pre-structuring the data into meaningful categories and relationships, the system reduces the complexity of real-time analysis while maintaining high diagnostic accuracy.
3Ease of operation
If basic operation timing information is used, then the ease of operation is maintained, but the reliability of abnormality detection deteriorates
Solution Approach 1:
The patent implements automatic collection and organization of detailed operation information without requiring manual intervention. The system self-gathers operation state, tool information, and workpiece information, maintaining ease of operation while significantly improving abnormality detection reliability through comprehensive data acquisition.
Data Source
AI summary
A diagnostic device includes a reception unit and a determination unit. The reception unit is configured to receive context information and sensing information. The context information corresponds to a certain operation of a target item that constitutes a target device. The context information is a piece of a plurality of pieces of context information each describing an operation of the target item determined depending on a type of operation of the target device. The sensing information is on a physical quantity that varies in accordance with the operation of the target item. The determination unit is configured to determine a state of the target item based on the sensing information detected while the target item is performing the certain operation, and based on a model corresponding to the received context information. The model is a model of one or more models respectively defined for one or more pieces of the context information.