Information Processing for Abnormal Noise Self-Diagnosis
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Solution Overview
Problem
Existing information processing systems, such as image forming apparatuses, produce abnormal noises due to mechanical component deterioration, leading to unnecessary visits by customer engineers when the noise can often be addressed by the user or is not actually present.
Innovation Solution
An information processing system that performs self-diagnosis of abnormal noises, identifies their causes, and provides user-guided countermeasures or notifications based on the diagnosis results, allowing users to address or request engineer visits as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user immediately contacts the customer engineer when abnormal noise is detected, then the user can get professional help quickly, but the customer engineer visits unnecessarily when the noise can be addressed by the user or is not actually present
Solution Approach 1:
The system performs preliminary self-diagnosis before the user contacts the customer engineer. The abnormal noise detection unit and diagnosis unit analyze the noise characteristics and determine the cause in advance, allowing the user to take appropriate action without immediately contacting support.
Solution Approach 2:
The system enables self-service by providing automatic diagnosis and guidance to users. The diagnosis unit identifies the cause of abnormal noise and the notification unit guides users on how to address it themselves, reducing the need for professional intervention.
2Ease of repair
If the customer engineer visits the installation place to address abnormal noise, then professional repair can be performed, but the visit is wasteful when the noise is caused by user handling or can be stopped by simple operation
Solution Approach 1:
The system provides feedback to users about the cause of abnormal noise and the appropriate actions to take. The notification unit delivers personalized guidance based on the diagnosis results, enabling users to resolve issues themselves when appropriate.
Solution Approach 2:
The diagnosis unit acts as an intermediary between the abnormal noise detection and the customer engineer. It analyzes the noise, identifies the cause, and provides guidance to users, filtering out cases that require professional intervention from those that can be resolved independently.
3Loss of information
If the system performs detailed diagnosis to identify the cause of abnormal noise, then accurate guidance can be provided to users, but the diagnosis process adds complexity to the system
Solution Approach 1:
The system replaces manual mechanical diagnosis with automated acoustic analysis. The abnormal noise detection unit and diagnosis unit use signal processing and pattern recognition to identify noise causes, eliminating the need for physical inspection by customer engineers.
Solution Approach 2:
The system creates a digital copy of the abnormal noise signal and analyzes it through software algorithms. The diagnosis unit processes the acoustic signal data to identify patterns and causes, avoiding the need for physical disassembly or inspection.
Data Source
AI summary
An information processing system includes a processor configured to: perform diagnosis regarding whether an abnormal noise is produced in the information based on an instruction from a user; identify a cause of the abnormal noise when the abnormal noise is produced, and display the cause as a result of the diagnosis; and when the diagnosis result includes an indication that the abnormal noise is produced and the cause, notify the user of an indication that the cause of the abnormal noise is able to be addressed without requiring an operation of the user, is able to be addressed through the operation of the user, or requires a countermeasure to be taken by a customer engineer.