Fault Diagnosis Access Device Using DTMF Authorization
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Solution Overview
Problem
Current fault diagnosis methods in communication systems face challenges in efficiently diagnosing voice quality issues while ensuring compliance with security regulations, as they either increase system complexity or require additional costly hardware.
Innovation Solution
A fault diagnosis method and apparatus that determines whether a terminal user and the system side allow fault diagnosis, using a dual tone multi-frequency (DTMF) number or specific operation and maintenance numbers, to perform authorized fault diagnosis within the service process, ensuring compliance with security regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an independent dialing test device is used to perform voice detection, then voice quality KPI can be provided, but additional service load is added to the communication system and hardware costs increase
Solution Approach 1:
The access device is designed to perform both its original communication function and fault diagnosis function through integrated modules. The processing module can handle normal communication tasks while also executing packet capture, parsing, and indicator sampling for voice quality detection, eliminating the need for separate dedicated test devices
Solution Approach 2:
The fault diagnosis and analysis module is integrated directly into the access device, combining previously separate functions (packet capture, parsing, indicator sampling, and analysis) into a unified system. This integration reduces hardware requirements and eliminates the need for external dialing test servers and terminals
2Reliability
If the access device captures and processes user service original data in the OAM plane, then fault diagnosis can be performed, but the integrated fault diagnosis and analysis module increases system complexity
Solution Approach 1:
The patent extracts only the essential diagnostic information (packet indicators such as signal quality and waveform data) from the complete user service original data through layer-by-layer packet parsing. By extracting and analyzing only these critical indicators rather than processing all raw data, the system achieves effective fault diagnosis while reducing computational complexity and resource requirements
3Measurement precision
If complete voice packet capturing is performed, then comprehensive voice quality analysis can be achieved, but more hardware and resources are required compared to indicator-based methods
Solution Approach 1:
The system performs layer-by-layer packet parsing to extract critical voice quality indicators (signal quality, waveform data) from voice packets. By extracting only these essential diagnostic elements rather than capturing and processing complete voice packets, the system achieves comprehensive voice quality analysis while significantly reducing hardware resource requirements and data processing loads
Data Source
AI summary
Embodiments of the present invention provide a fault diagnosis method and apparatus. A service in the fault diagnosis method relates to at least one user, and the fault diagnosis method includes: determining whether a terminal of each user allows performing fault diagnosis for the service; and performing fault diagnosis for the service if the terminal of each user allows performing fault diagnosis for the service. In the embodiments of the present invention, fault diagnosis for the user related service cannot be performed unless allowed by a user terminal or allowed by both the user terminal and a system side. Thereby, it is ensured that fault diagnosis is performed in a secure environment, which better complies with security laws and regulations.