PON Degradation Source Identification via Optical Profile Drift
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Solution Overview
Problem
In passive optical networks (PONs), technicians often misdiagnose the source of degradation, as they typically only troubleshoot the optical path from the optical line terminal (OLT) to the last mile termination unit, missing potential issues in intermediate nodes or optical fibers, which can lead to incorrect identification of the problem.
Innovation Solution
A system and method that utilize optical profiles to detect deviations from a designated operating range and identify the source of degradation by comparing the drift over time of optical signals across different segments of the PON, allowing for accurate identification of faulty components such as OLTs, last mile termination units, or optical fibers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If technicians troubleshoot only the single optical path from OLT to last mile termination unit, 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 (feeder optical fiber segment, distribution optical fiber segments, 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, improving diagnosis accuracy while maintaining systematic efficiency
Solution Approach 2:
The patent introduces an intermediary system that automatically analyzes optical profiles and compares drift patterns across multiple segments. This intermediary analysis tool provides accurate degradation source identification without requiring technicians to manually investigate each component, thus maintaining ease of operation while improving measurement precision
2Measurement precision
If technicians investigate all possible sources of degradation throughout the PON, then diagnosis accuracy is improved, but the troubleshooting time and complexity increase
Solution Approach 1:
The patent performs preliminary analysis by continuously monitoring and storing optical profiles of all network segments. When degradation is detected, the pre-collected data and established drift patterns enable immediate identification of the affected segment without requiring time-consuming manual investigation of each component
Solution Approach 2:
The system provides automated feedback by comparing the optical profile drift of the affected segment against drift patterns from other segments. This feedback mechanism quickly identifies whether the degradation is isolated to a specific segment or affects multiple segments, enabling rapid localization of the problem source
Data Source
AI summary
Techniques for identifying sources of degradations within a PON include detecting that an optical profile of a segment of the PON is outside of a designated operating range, and comparing the drift over time of the segment's optical profile with respective drifts over time of optical profiles of other PON segments, each of which shares an OLT or a last mile termination unit with the segment as a common endpoint. Each segment's optical profile corresponds to characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.). The differences between the segments' drift(s) over time are utilized to determine the source of a degradation within the PON, and may be utilized to identify a particular component of the segment (e.g., the OLT, the last mile termination unit, or an optical fiber included in the segment) as being the source of the degradation.