Same-Cable Probability Detection for Optical Fiber Networks
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Solution Overview
Problem
Existing methods for determining shared optical cable segments between communication paths are inefficient and labor-intensive, leading to high maintenance costs and potential communication disruptions.
Innovation Solution
A same-cable probability detection method that involves obtaining characteristic parameters from optical signals affected by vibrations in the optical fibers, allowing for the calculation of the probability that optical cable segments are shared between different optical fibers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual recording of optical cable segment information is used, then the accuracy of determining shared cable segments can be maintained, but the time consumption and maintenance costs increase significantly
Solution Approach 1:
The patent replaces manual mechanical recording processes with an automated optical detection system. The system uses optical signals to detect cable segment sharing by measuring optical characteristics (such as optical time domain reflectometry or optical frequency domain reflectometry) and automatically determines shared cable segments through algorithm processing, eliminating the need for manual field recording while maintaining high accuracy.
Solution Approach 2:
The system enables self-service detection where the optical communication system itself performs the detection of shared cable segments without requiring manual intervention. The detection apparatus automatically sends optical test signals through the fiber network, collects response data, and processes the information to identify shared cable segments, allowing the system to monitor and manage its own infrastructure.
2Measurement precision
If manual recording of optical cable segment information is used, then the accuracy can be maintained, but the maintenance costs and difficulty increase
Solution Approach 1:
The patent replaces manual field recording and maintenance processes with an automated electronic detection and identification system. The system uses optical measurement techniques and computational algorithms to automatically determine shared cable segments, eliminating the need for manual field work and reducing maintenance complexity while maintaining high measurement accuracy.
Solution Approach 2:
The system implements continuous feedback mechanisms where the detection apparatus automatically monitors optical signal characteristics, compares them against stored reference data, and provides real-time identification of shared cable segments. This automated feedback loop eliminates manual verification processes and reduces maintenance difficulty by providing continuous, accurate information without human intervention.
3Productivity
If automated detection based on optical signal characteristics is used, then the detection efficiency improves, but the complexity of the detection system increases
Solution Approach 1:
The detection apparatus is designed as a universal system that can perform multiple functions: it sends optical test signals, measures optical characteristics (such as reflectometry data), processes the measurements through algorithms, and identifies shared cable segments. By consolidating these functions into a single multi-functional device, the system achieves high detection efficiency while managing complexity through integration rather than requiring multiple separate systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enables efficient and accurate detection of shared optical cable segments, reducing manual recording and maintenance costs while minimizing the risk of communication disruptions.
Implementation Method 1
the first characteristic parameter is generated after the first optical signal is affected by a vibration of the first optical fiber
Data Source
AI summary
This application discloses a same-cable probability detection method. The method includes: obtaining a first characteristic parameter of a first optical signal and a second characteristic parameter of a second optical signal, where the first optical signal is a signal transmitted in a first optical fiber, the second optical signal is a signal transmitted in a second optical fiber, the first characteristic parameter is generated after the first optical signal is affected by a vibration of the first optical fiber, and the second characteristic parameter is generated after the second optical signal is affected by a vibration of the second optical fiber; and obtaining, based on the first characteristic parameter and the second characteristic parameter, a probability that at least one optical cable segment of the first optical fiber and at least one optical cable segment of the second optical fiber include a same-cable segment.