Information Processing Apparatus Self-Diagnosis Error Cause Identification
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Solution Overview
Problem
Conventional information processing apparatuses often require manual diagnostic processing by service engineers to identify the actual cause of failures, even when displaying error codes, leading to inefficiencies and increased service time due to the need for direct testing on the defective apparatus.
Innovation Solution
An information processing apparatus equipped with sensors, memory for storing instructions, and processors to detect errors, perform diagnostic processing, and output error information, including a unit code indicating the error type and diagnostic information about the affected component, allowing for self-diagnosis and direct identification of faulty components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If an information processing apparatus different from the defective apparatus identifies candidate causes of failure based on prestored failure-to-cause correspondence information, then error codes can be displayed quickly, but the actual cause of failure cannot be accurately identified without manual diagnostic processing
Solution Approach 1:
The defective apparatus performs diagnostic processing in advance to identify the actual cause of failure before service engineers arrive. The apparatus autonomously executes diagnostic routines, tests components, and determines failure causes based on sensor data and diagnostic results, eliminating the need for service engineers to perform manual continuity tests and communication tests.
Solution Approach 2:
The information processing apparatus performs self-diagnosis by autonomously identifying failure causes using its own sensors and diagnostic capabilities. The apparatus generates and outputs accurate failure cause information without requiring external service engineers to perform manual testing, enabling the system to serve itself in identifying problems.
2Measurement precision
If manual diagnostic processing is performed by service engineers on the defective apparatus, then accurate failure cause identification is achieved, but service time and dispatch frequency increase
Solution Approach 1:
The apparatus performs diagnostic processing in advance to identify the actual cause of failure before service engineers arrive. The apparatus autonomously executes diagnostic routines, tests components, and determines failure causes based on sensor data and diagnostic results, eliminating the need for service engineers to perform manual continuity tests and communication tests.
Solution Approach 2:
The information processing apparatus performs self-diagnosis by autonomously identifying failure causes using its own sensors and diagnostic capabilities. The apparatus generates and outputs accurate failure cause information without requiring external service engineers to perform manual testing, enabling the system to serve itself in identifying problems.
3Device complexity
If only error codes are displayed without detailed diagnostic information, then the apparatus structure remains simple, but service engineers cannot quickly identify specific failure causes requiring manual testing
Solution Approach 1:
The apparatus provides feedback by outputting detailed diagnostic information including identified failure causes, affected components, and diagnostic results. This feedback loop allows service engineers to immediately understand the specific failure cause without performing manual tests, transforming the simple error code into comprehensive diagnostic data that guides repair actions.
Data Source
AI summary
An information processing apparatus includes sensors for detecting a plurality of types of errors. The information processing apparatus identifies a type of an error detected by one of the sensors, acquires a result of diagnostic processing corresponding to the identified type of the error, and outputs error information indicating the identified type of the error, and diagnostic information about a component corresponding to the result of the diagnostic processing.