Multifunction Peripheral Error Resolution via Cross-Device History
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Solution Overview
Problem
Existing systems require significant manual effort to resolve errors in multifunction peripherals due to the lack of pre-prepared error resolution procedures, especially when errors occur frequently or are unique.
Innovation Solution
A virtual multifunction peripheral synchronizes with a real peripheral to analyze history data, identifies matching processes in other peripherals, and generates a setting change procedure to resolve errors based on detected differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If error resolution procedures are prepared in advance for multifunction peripherals, then error resolution efficiency is improved, but device complexity and manual preparation effort increase
Solution Approach 1:
The system performs preliminary actions by automatically generating error resolution procedures when errors occur, rather than requiring manual preparation in advance. The virtual multifunction peripheral analyzes error history data and generates appropriate resolution procedures on-demand, eliminating the need for pre-prepared procedures for all possible errors.
Solution Approach 2:
The system enables self-service by allowing the virtual multifunction peripheral to automatically analyze errors and generate resolution procedures without human intervention. The error analysis unit autonomously compares history data, identifies causes, and creates resolution procedures that are then transmitted back to resolve the actual error.
2Loss of time
If manual error resolution methods are used, then device complexity is reduced, but loss of time for error resolution increases
Solution Approach 1:
The system replaces manual mechanical error resolution processes with an automated information processing system. The virtual multifunction peripheral uses automated data analysis, comparison algorithms, and procedure generation to substitute for manual error diagnosis and resolution steps, significantly reducing error resolution time.
Solution Approach 2:
The system implements feedback by continuously collecting error history data from the real multifunction peripheral, analyzing it through comparison with stored data, and using the results to generate improved resolution procedures. This feedback loop enables the system to learn from past errors and improve future error resolution efficiency.
3Measurement precision
If history data analysis is performed across multiple apparatuses, then measurement precision of error causes is improved, but loss of time for data collection increases
Solution Approach 1:
The system merges history data from multiple apparatuses into a centralized storage in the virtual multifunction peripheral. By combining data from various sources, the system achieves more accurate error cause identification through comprehensive comparison, while the centralized structure enables efficient simultaneous access and analysis.
Solution Approach 2:
The system performs preliminary actions by pre-storing and organizing history data from multiple apparatuses in the virtual multifunction peripheral before errors occur. This advance preparation of data structures and comparisons enables rapid error analysis when needed, reducing the time required during actual error resolution.
Data Source
AI summary
An information processing apparatus includes a processor configured to acquire history data of a process performed by an apparatus installed in a real environment, search for history data that matches a content of a part of items included in history data of the process that is erroneously finished and is history data of the identical process that is normally finished in another apparatus installed in the real environment, from history data of the other apparatus, extract a difference between the history data of the erroneously finished process and the history data of the normally finished process, and suggest a setting for normally finishing the process to the apparatus based on the extracted difference.