Image Forming Apparatus Diagnostic Chart Selection
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Solution Overview
Problem
Existing image diagnostic techniques for image forming apparatuses do not effectively reduce the number of chart sheets or color material usage, as they do not utilize previous diagnosis results to determine the type of diagnostic chart.
Innovation Solution
An image forming apparatus with a diagnostic unit that acquires image defect information and forms diagnostic images based on this data, allowing for the selection of appropriate test charts to minimize unnecessary printing by using previous diagnosis results to set optimal test chart conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If a test chart is selected based on projection waveform without using previous diagnosis results, then the diagnostic determination can be performed, but the number of chart sheets and color material usage cannot be effectively reduced
Solution Approach 1:
The system performs preliminary diagnosis using projection waveform to identify potential defect types before selecting the test chart. This preliminary action allows the system to pre-determine the appropriate test chart type, avoiding unnecessary printing of test charts that would not provide additional diagnostic value, thereby reducing color material usage while maintaining diagnostic accuracy.
Solution Approach 2:
The system uses feedback from previous image diagnosis results to inform the selection of subsequent test charts. By analyzing the outcomes of prior diagnoses and comparing them with projection waveform data, the system can intelligently determine which test charts are necessary, reducing redundant printing while ensuring comprehensive diagnostic coverage.
2Reliability
If all types of test charts are printed for comprehensive diagnosis, then diagnostic coverage is complete, but the number of unnecessary test charts increases
Solution Approach 1:
The system extracts and identifies only the specific defect types that are actually present based on projection waveform analysis, rather than assuming all defect types may occur. This extraction approach allows the system to select only the necessary test charts for the identified defect types, reducing the number of chart sheets printed while maintaining reliable diagnostic coverage for the actual problems present.
Solution Approach 2:
The system dynamically changes the parameters of test chart selection based on the analyzed projection waveform and previous diagnosis results. By adjusting which test chart types are selected according to the specific conditions detected, the system ensures comprehensive coverage of relevant defects while minimizing the total number of test charts printed.
Data Source
AI summary
An image forming apparatus includes an acquisition unit configured to acquire image defect information, an image forming unit including a plurality of parts and configured to form a diagnostic image, a reading unit configured to read the diagnostic image formed by the image forming unit, and a control unit configured to perform control to diagnose a malfunctioning part in the image forming unit, based on the diagnostic image read by the reading unit, wherein the diagnostic image is an image based on the acquired image defect information and setting information about the image forming unit.