Abnormal End File Extraction for Embedded Device Diagnostics
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Solution Overview
Problem
Existing information processing apparatuses lack efficient methods for detecting and analyzing abnormal ends of processes, particularly in embedded devices like image forming apparatuses, where limited storage and display capabilities complicate the extraction and display of critical abnormality information.
Innovation Solution
An information processing apparatus generates an abnormal end file upon process termination, extracts relevant information, writes it to memory, and displays it on a panel, using a combination of volatile and non-volatile memory to store and retrieve abnormality data, facilitating analysis and restarts the OS upon system control process failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If an abnormal end file is generated and stored in full detail, then the information for analyzing the cause of abnormality is improved, but the storage capacity is exceeded in embedded devices with limited resources
Solution Approach 1:
The patent extracts only the necessary abnormality information from the abnormal end file rather than storing the entire file. The extraction unit selectively retrieves specific data elements needed for cause analysis, thereby reducing storage requirements while preserving essential diagnostic information in embedded devices with limited capacity
Solution Approach 2:
The patent segments the abnormal end file into distinct information elements, separating essential abnormality data from supplementary details. This segmentation allows the system to store and process only the critical portions needed for abnormality analysis, optimizing the use of limited storage resources in embedded devices
2Measurement precision
If comprehensive abnormality information is stored, then the accuracy of abnormality analysis is improved, but the device complexity increases
Solution Approach 1:
The extraction unit selectively retrieves only the essential abnormality information needed for accurate cause analysis, avoiding the complexity of managing and processing comprehensive data sets. This selective extraction maintains analysis accuracy while simplifying the system architecture in embedded devices
3Loss of information
If the entire abnormal end file is processed and displayed, then the completeness of abnormality information is improved, but the processing time and resource consumption increase
Solution Approach 1:
The extraction unit quickly identifies and retrieves only the essential abnormality information from the abnormal end file, significantly reducing processing time compared to analyzing the entire file. This selective approach maintains the completeness of critical diagnostic information while enabling faster abnormality analysis in resource-constrained embedded devices
Data Source
AI summary
An information processing apparatus includes circuitry. The circuitry generates an abnormal end file in response to an occurrence of an abnormal end of a process being executed, the abnormal end file indicating an occurrence state of the abnormal end, extracts a part of information from the generated abnormal end file, writes the extracted information as abnormal information in a memory, reads the abnormality information from the memory, and displays the abnormality information on a display.


