Optical Channel Monitoring for Low-Load Node Abnormality Detection
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Solution Overview
Problem
The high installation costs and increased communication load associated with providing high-resolution monitors at each node in an optical transmission system for identifying abnormality in nodes, which affect optical signal quality, necessitate a more cost-effective and efficient monitoring solution.
Innovation Solution
A monitoring device that acquires power values from specific wavelength ranges using a low-resolution optical channel monitor and compares these values with threshold values to determine abnormality in nodes, reducing the need for high-resolution monitors and communication load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution monitors are provided at each node to accurately identify abnormality, then measurement precision is improved, but device complexity and installation costs increase
Solution Approach 1:
The patent segments the wavelength spectrum into multiple measurement ranges (first range covering entire channel wavelength, second range covering partial wavelength) and measures power values in each segment. This segmentation allows accurate abnormality detection without requiring high-resolution monitors at every node, as the segmented power measurements can identify waveform shape changes through comparative analysis.
Solution Approach 2:
The patent introduces a centralized monitoring device that acts as an intermediary between the optical transmission system and the analysis function. Instead of placing high-resolution monitors at each node, the monitoring device collects power values from low-resolution monitors at various nodes and performs centralized analysis, reducing device complexity while maintaining measurement precision.
2Measurement precision
If high-resolution monitors are provided at each node to accurately identify abnormality, then measurement precision is improved, but installation costs increase
Solution Approach 1:
The patent replaces expensive high-resolution monitors with multiple low-resolution monitors that are cheaper and easier to install. Although each low-resolution monitor has limited capability, the combination of power value measurements from multiple ranges and nodes provides sufficient information for accurate abnormality identification, reducing overall installation costs.
Solution Approach 2:
The patent segments the measurement task into multiple power value measurements at different wavelength ranges using low-resolution monitors, rather than using a single high-resolution monitor. This segmentation approach achieves the same diagnostic capability with cheaper components.
3Measurement precision
If high-resolution monitors are provided at each node to accurately identify abnormality, then measurement precision is improved, but communication load increases
Solution Approach 1:
The patent extracts only the essential information (power values in specific wavelength ranges) from the optical signals and transmits this compressed data to the monitoring device, rather than transmitting complete high-resolution waveform data. This extraction approach maintains measurement precision while significantly reducing communication load.
Solution Approach 2:
The patent measures power values in specific partial ranges (first range and second range) rather than analyzing the entire spectrum with high resolution. This partial measurement approach provides sufficient information for abnormality detection while reducing the amount of data that needs to be transmitted.
Data Source
AI summary
A data acquisitor of a monitoring device acquires a power value of a range including an entire wavelength of a target channel and acquires power values of ranges including parts of the wavelength of the target channel, from an optical channel monitor that measures power values of optical signals output from nodes. A determinator compares each of the power values with threshold values based on power values of the nodes in a steady state and determines abnormality in the nodes