Image Forming Apparatus Storage Allocation and Quality Management
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Solution Overview
Problem
Image forming apparatuses face challenges when there is a shortage of storage capacity, leading to reduced image quality during image formation, and existing solutions do not effectively address this issue without increasing storage capacity.
Innovation Solution
The apparatus includes an executing unit that reduces image quality and an informing unit, which informs users of the reduced quality and provides effective measures such as changing storage capacity allocation or increasing storage capacity, specifically through patterns like reallocating storage areas or adding more storage devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image formation is executed when storage capacity is insufficient, then image formation can be performed, but image quality is reduced below required quality
Solution Approach 1:
The system performs image formation with partial quality by reducing image quality when storage capacity is insufficient, allowing the process to continue rather than completely halting. This enables productivity maintenance at the cost of reduced image quality, which is then communicated to the user with suggestions for improvement.
2Manufacturing precision
If storage capacity is increased to maintain image quality, then image quality can be maintained, but device complexity and cost increase
Solution Approach 1:
The system automatically detects storage capacity insufficiency, executes image formation at reduced quality, and provides self-diagnosis by informing users of the situation and suggesting effective measures. This self-service approach eliminates the need for complex automatic storage expansion mechanisms while maintaining user awareness and control.
3Manufacturing precision
If storage capacity is increased to maintain image quality, then image quality can be maintained, but acquisition cost increases
Solution Approach 1:
The system changes the operational parameter of image quality dynamically based on available storage capacity. Instead of maintaining fixed high-quality requirements, the system adapts image quality parameters to match current storage conditions, and communicates this relationship to users who can then make informed decisions about storage expansion.
4Ease of operation
If the system informs users of reduced image quality and effective measures, then users can take corrective action, but system complexity increases
Solution Approach 1:
The system implements a feedback mechanism by informing users when image formation is executed at reduced quality and providing suggestions for effective measures. This feedback loop enables users to take corrective actions (such as expanding storage or adjusting settings) without requiring complex automatic intervention systems, maintaining relative system simplicity while improving user control.
Data Source
AI summary
An image forming apparatus includes an executing unit configured to, if there is a shortage of storage capacity for image information necessary to perform image formation, execute the image formation at a reduced image quality below a required image quality, and an informing unit configured to inform that image formation has been executed at a reduced image quality, and inform an effective measure to enable image formation that does not involve a reduction in image quality, the effective measure including at least one of making a setting change to storage capacity allocation and increasing storage capacity.