Image Formation Apparatus Error Notification Using Part Identification
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Solution Overview
Problem
Conventional image formation apparatuses fail to accurately identify the cause of anomalies, as the error messages do not differentiate between genuine and non-genuine replaceable parts, leading to inappropriate maintenance or repair measures.
Innovation Solution
The apparatus includes a replaceable part with unique identification information and error codes, allowing the controller to determine the type of part and output specific notification signals based on the stored information, providing distinct error messages for genuine and non-genuine parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional image formation apparatus displays a generic error message when an anomaly is detected, then the error notification system is simple and easy to implement, but the maintenance staff cannot accurately identify the cause of the anomaly and determine appropriate countermeasures
Solution Approach 1:
The error notification system is segmented into multiple components: error detector for anomaly detection, information storage unit for storing identification information, error code storage unit for storing multiple error codes, and controller for selecting appropriate error codes. This segmentation allows the system to provide detailed error information without creating a monolithic complex system.
Solution Approach 2:
The system performs preliminary actions by storing identification information in the information storage unit and multiple error codes in the error code storage unit before an anomaly occurs. When an anomaly is detected, the controller retrieves the identification information and selects the appropriate error code from the pre-stored options, enabling accurate error identification without real-time complex analysis.
2Loss of information
If the error message does not reflect the situation of the image formation apparatus (whether replaceable part is genuine or not), then the notification system is simple, but the maintenance staff fails to accurately identify the cause of the anomaly
Solution Approach 1:
The system implements feedback by detecting anomalies, retrieving identification information from the information storage unit, selecting appropriate error codes from the error code storage unit based on the identification information, and notifying through the notification unit. This closed-loop feedback mechanism ensures that complete and accurate error information is provided to maintenance staff.
Solution Approach 2:
The controller acts as an intermediary between the error detector and the notification unit. It retrieves identification information, selects appropriate error codes from the error code storage unit based on the identification information, and transmits them to the notification unit. This intermediary role ensures that accurate and context-specific error information is communicated without requiring direct complex interaction between detection and notification components.
Data Source
AI summary
An image formation apparatus includes: a replaceable part attached to an image formation device and including an information storage unit having unique identification information stored therein; an error detector which detects an occurrence of an anomaly; an error code storage unit having a first error code and a second error code stored therein, each code indicating a content of error display concerning the anomaly; and a controller which determines whether the replaceable part is of a first type or a second type based on the identification information. The controller outputs a first notification signal indicating a content corresponding to the anomaly of the first error code if the replaceable part is of the first type when the error detector detects the anomaly, and outputs a second notification signal indicating a content corresponding to the anomaly of the second error code if the part is of the second type.