Optical Module Sampling Buffering for Faster Fault Locating
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Optical path faults in fiber networks cause interruptions or deterioration, necessitating rapid and accurate fault identification to minimize network downtime and improve service quality.
Innovation Solution
A data processing method for fault locating using an optical module with a central processing unit, sampling unit, and storage unit, which buffers and groups sampling parameters for efficient transmission to a network device, reducing interaction duration and communication overheads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If sampling parameters are transmitted individually without buffering, then communication overhead is reduced, but response duration for fault locating increases
Solution Approach 1:
The sampling unit continuously samples and the module central processing unit stores sampling parameters in the sampling information storage unit before fault occurrence. When a fault occurs, the pre-stored sampling parameters are immediately available for transmission, eliminating the need to wait for individual parameter generation and reducing response duration.
Solution Approach 2:
The N sampling parameters are grouped into multiple data blocks for transmission. This segmentation allows bulk transmission of pre-stored parameters, reducing the number of interaction cycles between optical module and network device while maintaining comprehensive fault analysis capability.
2Productivity
If sampling parameters are buffered and grouped into data blocks, then response duration is reduced, but communication overhead increases
Solution Approach 1:
Sampling parameters are pre-buffered in the sampling information storage unit before fault occurrence. This allows the system to transmit multiple parameters in bulk after fault detection, improving fault locating speed while the buffering mechanism efficiently manages the data volume to control communication overhead.
3Measurement precision
If millisecond-level sampling is performed, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The sampling unit performs sampling at millisecond intervals rather than continuously. This periodic sampling maintains sufficient measurement precision for fault detection while significantly reducing energy consumption compared to continuous sampling, as the system only activates the sampling and transmission functions when needed.
Data Source
AI summary
A data processing method includes a module central processor obtaining sampling parameters from a sampler, and storing the sampling parameters into a sampling information storage circuit. When receiving an indication from a network device, the module central processor feeds back, to the network device, N sampling parameters that have been stored in the sampling information storage circuit, and sends the N sampling parameters through a plurality of data blocks.


