Image Forming System Recovery Control via Log Analysis
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Solution Overview
Problem
Conventional image forming systems lack effective mechanisms to detect and manage complex abnormalities that occur due to communication errors and other issues between multifunction peripherals (MFPs) and kiosk terminals, leading to operational disruptions and user inconvenience.
Innovation Solution
An image forming system that includes a storage unit for logging events and a controller to detect abnormalities based on log content, executing recovery processes automatically or guiding manual recovery operations, thereby maintaining system functionality and user convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional sensor-based abnormality detection is used, then simple abnormalities can be detected, but complex abnormalities occurring due to communication errors and system flows cannot be effectively detected
Solution Approach 1:
The system performs preliminary actions by storing detailed logs of system operations, communication events, and sensor readings before abnormalities occur. This preliminary data collection enables post-event analysis of complex abnormalities that involve multiple system components and communication flows, allowing the controller to reconstruct and analyze the sequence of events leading to the abnormal state.
Solution Approach 2:
The controller continuously monitors log data and provides feedback about system state by analyzing patterns in stored information. When communication errors or complex abnormal conditions are detected through log analysis, the system generates appropriate notifications and triggers recovery processes, creating a closed-loop feedback mechanism that handles complex abnormalities beyond simple sensor thresholds.
2Ease of operation
If automatic recovery processes are implemented, then user trouble is reduced and system continuity is improved, but system complexity increases
Solution Approach 1:
The image forming system performs self-service through automatic recovery processes that execute without user intervention. When abnormalities are detected through log analysis, the controller automatically initiates appropriate recovery actions such as restarting communication protocols, clearing error states, or resetting system components, thereby maintaining ease of operation while managing the complexity internally within the controller.
Data Source
AI summary
An image forming system for forming an image includes a storage unit that stores a log of the image forming system, and a controller to detect an abnormality of the image forming system based on the content of the log stored in the storage unit, and the controller controls to execute a recovery process of the image forming system according to a detection result of the abnormality. In this configuration, the image forming system detects complicated abnormality that occurs according to series of flows.