Optical Fiber Splice Quality Assessment Using Scattered Light Imaging
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Solution Overview
Problem
Mechanical splicing in fiber optics faces challenges in ensuring precise alignment and minimizing light leakage and reflection at fiber joints, making it difficult to determine and improve the quality of mechanical splices, especially in field-terminated connectors.
Innovation Solution
A termination and test apparatus comprising a light source, camera, and digital processor that analyzes the spatial pattern of scattered light to evaluate the quality of mechanical splices by computing specific metrics and ratios, providing real-time feedback and improving the accuracy of splice joint assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If mechanical splicing is used to terminate field fibers, then the process is simpler and less expensive than fusion splicing, but it is difficult to ensure precise alignment and minimize light leakage at fiber joints
Solution Approach 1:
The patent implements a feedback mechanism by capturing images of the fiber joint region with a camera, processing these images to determine splice quality metrics, and using this information to assess whether the mechanical splice meets acceptable quality thresholds. This closed-loop feedback enables real-time quality verification of mechanical splices without requiring complex alignment equipment.
Solution Approach 2:
The patent replaces complex mechanical alignment verification systems with an optical imaging and image processing system. Instead of using sophisticated mechanical fixtures to ensure precise alignment, the system uses light transmission patterns captured by a camera and analyzed through image processing to verify splice quality, thereby maintaining simplicity while improving measurement capability.
2Reliability
If fusion splicing is used to create permanent joints between optical fibers, then high performance connections are achieved, but the apparatus becomes bulky, expensive, and fragile
Solution Approach 1:
The patent creates an optical copy or representation of the splice joint quality by capturing light transmission patterns through the fiber joint. Instead of requiring direct physical measurement or complex mechanical verification, the system creates an image copy of the joint's optical behavior, which can then be analyzed to determine splice quality. This approach achieves reliable quality assessment without needing bulky fusion splicing equipment.
3Productivity
If traditional mechanical splicing without quality verification is used, then the termination process is faster, but it is difficult to determine and improve the quality of mechanical splices
Solution Approach 1:
The patent enables the mechanical splice system to self-verify its own quality through the imaging and analysis system. The splice joint itself provides the information needed for quality assessment by transmitting light patterns that reveal alignment and contact quality. This self-service approach allows quality verification to be integrated into the termination process without requiring separate complex testing equipment.
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
The apparatus effectively determines the quality of mechanical splices by analyzing light patterns and metrics, reducing the likelihood of false positives and negatives, and ensuring low insertion loss, thereby enhancing the reliability of fiber connections.
Implementation Method 1
a light source 201, a camera 202
Implementation Method 2
analyzes the spatial pattern of scattered light 202
Data Source
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AI summary
At least some embodiments of the present invention relate to the field of optical fiber splicing and the evaluation of resulting splice joints. In an embodiment, the present invention is an apparatus for evaluating the integrity of a mechanical splice joint, and comprises a light source, digital video camera, digital signal processor, and visual indicator, wherein the apparatus connects to the test connector and the digital signal processor analyzes digital images of the scatter light from at least a portion of the test connector.