Online Maintenance Server for Communication Network Fault Analysis
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Solution Overview
Problem
Current communication service maintenance methods are inefficient, as users must interrupt their communication to report faults, leading to low real-time issue resolution and inaccurate fault identification, resulting in unsatisfactory maintenance services.
Innovation Solution
Implementing an online maintenance method where communication devices record data in real-time upon user request, allowing an online maintenance server to analyze this data to quickly identify and address faults without interrupting the communication process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users interrupt communication to report faults manually, then fault information can be transmitted to the service provider, but real-time fault detection capability deteriorates and communication continuity is disrupted
Solution Approach 1:
The system performs preliminary actions by automatically collecting and analyzing communication data in real-time before faults occur or as they occur, eliminating the need for users to interrupt communication for fault reporting. The maintenance server proactively monitors communication quality metrics and detects faults automatically, thus preventing information loss while avoiding communication interruptions.
Solution Approach 2:
The maintenance system performs self-service by automatically monitoring its own communication network, collecting data from communication devices, and detecting faults without human intervention. This self-monitoring capability ensures fault information is captured accurately while maintaining continuous communication without user involvement.
2Ease of operation
If users orally describe fault phenomena, then maintenance requests can be submitted, but measurement precision of fault conditions deteriorates
Solution Approach 1:
The system replaces the mechanical/oral description method with an automated data collection and analysis system. Instead of relying on users to verbally describe fault conditions, the maintenance server automatically collects objective communication data from devices and analyzes it to precisely identify fault conditions, thereby maintaining ease of operation while dramatically improving measurement precision.
Solution Approach 2:
The system implements feedback by continuously collecting communication data from devices and analyzing it to provide accurate fault information back to the service provider. This automated feedback loop ensures that precise fault condition data is transmitted without requiring users to interpret or describe their own communication issues, thus maintaining simplicity while improving accuracy.
3Loss of energy
If simple manual maintenance methods are used, then maintenance costs are reduced, but productivity of fault resolution deteriorates
Solution Approach 1:
The maintenance server acts as an intermediary that automates the fault detection and analysis process. It collects communication data from multiple devices, analyzes the data to identify faults, and provides detailed fault information to service providers. This intermediary system improves fault resolution productivity by eliminating manual information gathering while keeping costs low through automated, efficient data processing.
Solution Approach 2:
The system changes key parameters of the maintenance process by transitioning from manual, reactive maintenance to automated, proactive maintenance. It continuously monitors communication quality parameters, analyzes data in real-time, and detects faults immediately when they occur, thereby dramatically improving fault resolution speed while maintaining cost-effectiveness through automated efficient processing.
4Measurement precision
If communication data is collected in real-time during communication procedures, then fault detection precision improves, but device complexity increases
Solution Approach 1:
The maintenance system is segmented into distinct functional modules: data collection modules in communication devices, data transmission modules, and data analysis modules in the maintenance server. This segmentation allows real-time data collection and analysis to improve fault detection precision while distributing system complexity across multiple independent components, making the overall system more manageable and scalable.
Data Source
AI summary
A method of implementing online maintenance in communication network, includes: recording, in any communication device of the communication network, communication data going through the communication device itself when the communication device has detected online a maintenance request; collecting, by an online maintenance server set in the communication network, online the communication data recorded in all the communication devices, and analyzing the communication data to find out a fault reason of the communication network. In the method, communication devices are triggered via a maintenance request to objectively record communication data, and an online maintenance server is set for analyzing the collected communication data to find out the fault reason. In this way, the communication procedure and maintenance procedure are separately performed, which is convenient for the communication service provider to solve problems.