Image-Forming Device Scan Diagnosis for Worsening Abnormalities
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Solution Overview
Problem
Existing systems fail to notify users of deteriorating image abnormalities in image forming devices, leading to potential downtime due to delayed maintenance of minor issues that worsen over time.
Innovation Solution
An information processing system that includes processors to acquire scan images from image forming devices, identify worsening image abnormalities, and output alerts for imminent maintenance needs, emphasizing potential future issues through enhanced display modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image diagnosis is performed on scan images to detect abnormalities, then image quality can be monitored, but users are not notified when abnormalities deteriorate over time leading to downtime
Solution Approach 1:
The system implements a feedback mechanism by comparing current scan images with historical scan images to detect abnormality deterioration. The processor identifies worsening abnormalities by analyzing changes over time and provides notifications to users, creating a closed-loop information feedback system that monitors and communicates device health status.
Solution Approach 2:
The system performs preliminary action by detecting and notifying users of abnormality deterioration before it leads to complete device failure or downtime. By identifying worsening trends in advance, the system enables proactive maintenance actions to be taken, preventing the occurrence of harmful effects rather than responding after failure.
2Productivity
If maintenance is postponed for non-critical image abnormalities, then device operation continues, but abnormalities may worsen causing future downtime
Solution Approach 1:
The system applies preliminary action by notifying users of abnormality deterioration trends before they result in device failure. This allows maintenance to be scheduled at a convenient time rather than forcing immediate shutdown, enabling proactive intervention that prevents future downtime while maintaining operational continuity.
Solution Approach 2:
The system provides beforehand cushioning by alerting users to worsening abnormalities, creating a buffer period between abnormality detection and potential failure. This advance warning allows users to prepare for and schedule maintenance during planned downtime rather than experiencing unexpected operational interruptions.
3Reliability
If all image abnormalities are addressed immediately, then device reliability improves, but unnecessary maintenance actions are performed on non-deteriorating abnormalities
Solution Approach 1:
The system applies local quality by differentiating between various types of abnormalities based on their deterioration characteristics. Instead of treating all abnormalities uniformly, the system identifies and prioritizes only those showing worsening trends, applying maintenance actions locally to specific problematic areas rather than performing blanket maintenance on all detected issues.
Solution Approach 2:
The system uses partial action by selectively addressing only the subset of abnormalities that are deteriorating over time, rather than taking excessive action on all detected abnormalities. This targeted approach focuses maintenance resources on genuinely problematic areas while ignoring stable, non-deteriorating issues.
Data Source
AI summary
An information processing system includes: one or plural processors configured to: acquire a scan image, which is an image obtained by a scanning section scanning a diagnosis image of a recording medium output by an image forming section; and output, in a case where the scan image has an image abnormality and the image abnormality is a worsening abnormality that deteriorates in degree due to a temporal change of the image forming section with a diagnosis on the acquired scan image, information on the worsening abnormality.