Optical Profile Drift Analysis for Passive Optical Network Degradation
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Solution Overview
Problem
In passive optical networks (PONs), technicians often misdiagnose the source of degradation, mistakenly identifying last mile termination units as the cause, when the actual issue lies elsewhere, such as in optical fibers or intermediate nodes, due to the inability to accurately and quickly identify other possible sources of degradation.
Innovation Solution
A method that detects degradation by analyzing the drift over time of optical profiles across different segments of the PON, comparing these profiles to identify the source of the degradation, which can be a particular optical fiber or segment endpoint, and transmitting this information to a user interface or computing device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If technicians troubleshoot only the single optical path via which the last mile termination unit receives optical services, then the troubleshooting process is simple and quick, but the source of degradation is frequently misdiagnosed
Solution Approach 1:
The patent divides the optical network into multiple segments (first segment including OLT and distribution hub, second segment including distribution hub and last mile termination unit) and analyzes optical profiles of each segment separately. This segmentation allows technicians to identify which specific segment contains the degradation source, preventing misdiagnosis while maintaining a systematic and manageable troubleshooting process
Solution Approach 2:
The patent introduces a new dimension of analysis by comparing optical profiles across different segments rather than only along a single optical path. By adding the segment comparison dimension, the system can pinpoint degradation sources at intermediate nodes like distribution hubs, transforming the troubleshooting from a linear path check to a multi-dimensional segment analysis
2Measurement precision
If technicians perform comprehensive troubleshooting of all possible sources of degradation, then diagnosis accuracy is improved, but the troubleshooting process becomes time-consuming and complex
Solution Approach 1:
By segmenting the network and analyzing optical profiles of each segment, the patent enables targeted troubleshooting of only the affected segment rather than comprehensively checking all components. This reduces troubleshooting time while maintaining high diagnosis accuracy through focused analysis
Solution Approach 2:
The patent performs partial action by analyzing only the optical profiles of relevant segments identified through the comparison method, rather than conducting exhaustive troubleshooting of all possible degradation sources. This partial analysis is sufficient to identify the degradation source segment, reducing time loss while maintaining diagnostic accuracy
3Difficulty of detecting and measuring
If technicians physically visit customer premises to troubleshoot degradation, then direct observation of last mile termination unit is possible, but other possible sources of degradation cannot be identified
Solution Approach 1:
The patent shifts the troubleshooting from the physical dimension (on-site observation) to the data dimension (optical profile analysis). By analyzing optical profiles from multiple segments remotely, the system can identify degradation sources at intermediate nodes without requiring physical visits, preventing loss of information about other potential degradation sources
4Productivity
If the optical network uses a point-to-multipoint topology with distribution hubs, then network coverage and efficiency are improved, but intermediate nodes become potential sources of degradation that are difficult to identify
Solution Approach 1:
The patent segments the optical network at the distribution hub level, creating distinct first and second segments. This segmentation approach maintains the efficient point-to-multipoint topology while enabling targeted analysis of each segment's optical profile, making intermediate nodes like distribution hubs identifiable as degradation sources without increasing overall network complexity
Data Source
AI summary
Techniques for identifying sources of degradations within a PON include detecting a degradation pertaining to a segment of the PON and comparing the drift over time of an optical profile of the segment with respective drifts over time of optical profiles of one or more other PON segments, where pairs of segments share respective common endpoints and an optical profile of a segment corresponds to the characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.). The differences between the compared drift(s) over time are utilized to narrow down the candidate components (e.g., segment endpoints, optical fibers, etc.) for the source of the degradation, and may be utilized to particularly identify a particular endpoint or optical fiber as being the source. The source of the degradation may or may not be a component of the segment to which the degradation pertained.