Image Correction Using Batch Detection Value Modification
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Solution Overview
Problem
In image forming apparatuses, positional deviations due to rotation irregularities of photosensitive drums and movement irregularities of convey belts lead to reduced accuracy in correction processing, as abnormal detection values from one batch invalidate those from the other batch, limiting the usable detection values for correction.
Innovation Solution
An image forming apparatus with a formation unit, control unit, detection unit, determination unit, modification unit, and correction unit, where the apparatus forms and detects marks in batches at different positions, modifies abnormal detection values using corresponding marks from the other batch, and corrects image formation positions based on these modified values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If detection values from one batch are invalidated when abnormal, then reliability of correction processing is improved, but the quantity of usable detection values is reduced
Solution Approach 1:
The patent recovers usable detection values from abnormal batches by identifying and discarding only the abnormal portions (invalid detection values) while retaining and reusing detection values from normal batches. This allows the system to recover and utilize detection data that would otherwise be completely discarded, thereby increasing the quantity of usable detection values while maintaining reliability.
Solution Approach 2:
Instead of completely invalidating all detection values from an abnormal batch, the patent applies partial action by selectively invalidating only the abnormal detection values while keeping valid ones. This partial approach allows more detection values to be utilized for correction processing, increasing the quantity of usable data without compromising the reliability of the correction.
2Measurement precision
If detection values from both batches must be normal, then accuracy of correction processing is improved, but the adaptability to abnormal conditions is reduced
Solution Approach 1:
The patent changes the parameter of batch validation from requiring both batches to be normal to allowing one batch to be abnormal. By modifying this validation parameter, the system becomes more adaptable to abnormal conditions while still maintaining sufficient accuracy through the use of detection values from the normal batch and interpolated values from the abnormal batch.
Solution Approach 2:
The patent introduces interpolated detection values as an intermediary mechanism. When one batch is abnormal, the system uses detection values from the normal batch as intermediaries to infer and interpolate values for the abnormal batch, thereby maintaining adaptability to abnormal conditions while preserving correction accuracy.
3Reliability
If all detection values from abnormal batches are invalidated, then reliability is improved, but the manufacturing precision of correction processing is reduced
Solution Approach 1:
The patent recovers precision by selectively discarding only the abnormal detection values while recovering and reusing valid detection values from normal batches. This selective discarding approach maintains reliability by removing erroneous data while preserving precision by retaining useful detection information that can be reused for accurate correction processing.
Solution Approach 2:
The patent implements feedback mechanisms where detection values from normal batches are fed back into the correction processing system to compensate for abnormal batches. This feedback loop allows the system to maintain both reliability (by using verified normal data) and precision (by utilizing the feedback information to correct positional deviations accurately).
Data Source
AI summary
An image forming apparatus comprising: a formation unit; a control unit configured to control the formation unit to form a first batch and a second batch; a detection unit configured to detect detection values for marks in relation with position information of the respective marks in the first direction; a determination unit configured to determine whether each of the first and second batches are normal or abnormal based on the detection values; a modification unit configured to modify the detection value of a mark belonging to one of the first and second batches that has been determined to be abnormal by the determination unit, based on the detection value of a corresponding mark which belongs to an other of the first and second batches; and a correction unit configured to correct an image forming position of the formation unit based on the detection values modified by the modification unit.