Information Display Device for Guided Multi-Trouble Diagnosis
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Solution Overview
Problem
Existing techniques fail to identify the causes of various troubles in image forming devices, including image quality defects, abnormal noise, and paper jams, beyond image quality issues, necessitating a comprehensive troubleshooting method.
Innovation Solution
An information providing device with an input device, display device, and control device that associates trouble candidates with phenomena and causes, allowing users to narrow down and identify the root causes through a series of interactive screens and condition changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional image quality-focused diagnostic techniques are used, then image quality defects can be identified, but other troubles such as abnormal noise, off-flavor, and paper jam cannot be identified
Solution Approach 1:
The diagnostic system is designed to handle multiple types of troubles (image quality defects, abnormal noise, off-flavor, paper jam, etc.) through a unified diagnostic interface. The control device displays multiple trouble candidates and their associated phenomena and causes, enabling the system to adapt to various diagnostic needs without requiring separate diagnostic procedures for each trouble type.
2Measurement precision
If technical knowledge is required to identify image defect causes, then diagnostic accuracy improves, but ease of operation deteriorates
Solution Approach 1:
The control device acts as an intermediary between the user and the complex diagnostic information. It automatically processes user inputs (selected trouble candidates and phenomena) and generates structured diagnostic results by displaying relevant causes. This intermediary function enables users without technical knowledge to obtain accurate diagnostics by simply following the guided selection process.
Solution Approach 2:
The diagnostic process is segmented into discrete, manageable steps: selecting trouble candidates, selecting associated phenomena, and viewing causes. This segmentation breaks down the complex diagnostic task into simple sequential choices, making it easy for users to follow while maintaining diagnostic accuracy through systematic information gathering.
3Adaptability or versatility
If comprehensive trouble identification is implemented, then troubleshooting scope improves, but device complexity increases
Solution Approach 1:
The system organizes diagnostic information in a hierarchical dimension: trouble candidates at the first level, associated phenomena at the second level, and causes at the third level. This dimensional organization allows comprehensive trouble identification without requiring a complex flat structure, as the hierarchy naturally manages the complexity through layered information presentation.
Data Source
AI summary
An information providing device includes: an input device that accepts an input to the information providing device; a display device that displays a screen; a control device that controls an operation of the information providing device; and a storage device that stores trouble candidates that may occur in the information providing device, wherein the trouble candidates are associated with phenomena in the information providing device, each of the phenomena is associated with one or more causes, the control device displays the trouble candidates on the display device based on the input, the control device displays one or more phenomena associated with a selected trouble candidate based on selection of any of the trouble candidates, and the control device displays one or more causes associated with the selected phenomenon on the display device based on selection of any of the one or more phenomena.