Optical Fiber Polarity Detection via Light Spot Imaging
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Solution Overview
Problem
In optical fiber networks, determining the correct cable routing connection configuration in multi-fiber connection devices and distribution panels is challenging due to the complexity of multi-fiber array configurations and the risk of human error or improper labeling, leading to improper polarity and potential signal transmission issues.
Innovation Solution
A method and system that inject test light into optical fiber links with encoded patterns, capturing images of the light spots at the receiving end to determine the correct connection configuration, using a processor to analyze the images and retrieve the identification index, allowing for accurate polarity detection and verification of cable routing connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual cable routing connection configuration is used in multi-fiber connection devices, then device complexity is reduced, but measurement precision and reliability of polarity detection deteriorate due to human error and improper labeling
Solution Approach 1:
The patent replaces manual mechanical inspection and labeling systems with an automated optical testing system. The system uses light sources to inject test signals through optical fibers and captures images of light spots at connection devices, automatically determining cable routing configurations and polarities without manual intervention, thereby eliminating human error while maintaining simplicity
Solution Approach 2:
The system enables self-verification of cable routing connections by automatically detecting and analyzing the configuration. The automated image capture and analysis system performs polarity detection and connection verification independently, allowing the network infrastructure to self-diagnose and confirm proper configuration without requiring manual checking or external assistance
2Reliability
If automated image capture and analysis system is implemented, then measurement precision and reliability of connection verification improve, but device complexity and initial setup requirements worsen
Solution Approach 1:
The testing system is designed to perform multiple functions using a unified approach: it can verify continuity, detect polarity, map cable routing configurations, and identify connection points all through the same automated image capture and analysis process. This multi-functionality reduces the need for separate specialized devices while maintaining high reliability across different testing scenarios
Solution Approach 2:
The patent uses light as an intermediary carrier to transmit information through the optical fiber connections being tested. By injecting light through specific fibers and capturing the resulting light spots at the other end, the system indirectly detects connection configurations without requiring direct physical access to internal cable routing, simplifying the testing mechanism while ensuring reliable verification
3Loss of information
If encoded test light patterns are used for identification, then information retrieval accuracy improves, but loss of information increases due to potential encoding errors or signal degradation
Solution Approach 1:
The system pre-assigns unique identification codes to specific optical fibers before testing begins. These codes are stored in the system's memory, allowing for predetermined comparison with the observed light spot patterns. This preliminary coding enables rapid and accurate identification of cable routing configurations without requiring complex real-time analysis, maintaining precision while preventing information loss through systematic pre-planning
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
Enables precise detection and verification of cable routing connections, ensuring proper polarity and reducing errors in signal transmission by providing a reliable method for identifying the correct configuration of multi-fiber cable links and distribution panels.
Implementation Method 1
Test light is injected into one or more of the optical fiber links via corresponding optical fiber ports of the first connection device
Implementation Method 2
capturing at least one image of the second multi-fiber connection device in which test light exiting at least one of the optical fiber links through one or more optical fiber ports of the second connection device is imaged as one or more light spots in the image
Data Source
AI summary
There are provided techniques for characterizing and testing a cable routing connection configuration connection arrangement comprising a plurality of optical fiber links connected between at least a first connection device at a first end and a second multi-fiber connection device at a second end. Test light is injected into one or more of the optical fiber links via corresponding optical fiber ports of the first connection device. At least one image of the second multi-fiber connection device is captured. Test light exiting the optical fiber link(s) through optical fiber port(s) of the second multi-fiber connection device is imaged as light spot(s) in the captured image. Positions on the second multi-fiber connection device that corresponds to the optical fiber port(s) are determined based on a pattern of the light spot(s) in the captured image. In some implementations, the provided techniques allow detection or verification of cable routing connection configurations at multi-fiber distribution panels.