Diagnostic Model Generating Method for Electronic Device Error Resolution
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Solution Overview
Problem
Existing methods for diagnosing errors in electronic devices do not provide tailored diagnostic processes for various situations, leading to inefficiencies in error resolution.
Innovation Solution
A diagnostic model is generated to optimize diagnostic processes for specific error situations, using consultation data and machine learning algorithms to determine diagnostic commands and sequences, allowing for personalized and effective error resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a generic diagnostic process is used for all error situations, then the diagnostic system is simple to implement, but the diagnostic precision and user satisfaction deteriorate
Solution Approach 1:
The patent segments the diagnostic process into multiple specialized sub-processes, each tailored to specific error situations. The system divides generic diagnostic tasks into situation-specific diagnostic paths, allowing precise diagnosis for different error types while maintaining overall system manageability through modular organization.
Solution Approach 2:
The diagnostic system dynamically adapts its process based on the specific error situation detected. Rather than following a fixed generic path, the system adjusts its diagnostic approach in real-time according to the error type and context, enabling precise diagnosis while keeping the base framework relatively simple.
2Productivity
If situation-specific diagnostic processes are implemented, then the diagnostic precision improves, but the system complexity increases
Solution Approach 1:
The system performs preliminary classification of error situations before initiating detailed diagnostic processes. By pre-identifying the error type and context, the system can quickly route to the appropriate specialized diagnostic path, improving resolution efficiency while avoiding the need to maintain complex overlapping diagnostic procedures for all possible errors.
Solution Approach 2:
The patent introduces an intermediary layer that manages the transition between generic error detection and situation-specific diagnostic processes. This intermediary component coordinates the selection and execution of appropriate diagnostic paths, enabling efficient error resolution while abstracting away the complexity from the overall system architecture.
3Adaptability or versatility
If a standardized diagnostic process is used, then the ease of operation is high, but the adaptability to various error situations deteriorates
Solution Approach 1:
The diagnostic system employs a universal framework that can handle multiple error situations through a common interface and structure. While the underlying diagnostic paths are specialized for different error types, the overall system maintains uniform operation procedures and consistent user interaction, preserving ease of operation while achieving high adaptability across various error scenarios.
Data Source
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AI summary
Provided are a diagnostic model generating apparatus and a diagnostic model generating method therefor. The diagnostic model generating method may comprising: extracting at least one keyword from consultation data between a user and a consultant for resolving electronic device errors; on the basis of the at least one extracted keyword, determining a diagnostic sequence between the plurality of diagnostic commands for resolving errors and a plurality of diagnostic commands; and storing a diagnostic model comprising the plurality of determined diagnostic commands and determined diagnostic sequence.