Optical Fiber Reordering Assembly for MPO Sequence Alignment
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Solution Overview
Problem
The challenge of automatically organizing randomly sequenced optical fibers into a predetermined sequence for efficient fiber optic cable manufacturing, particularly in high-density connectors like MPO, is unresolved.
Innovation Solution
A fiber sorting system with a first and second assembly, actuated by a computing system and key combinations, automatically reorders optical fibers from a random sequence to a predetermined sequence using a machine learning model to optimize the movement of fibers between assemblies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual fiber organization is used, then flexibility and adaptability are maintained, but time consumption and labor intensity increase significantly
Solution Approach 1:
The fiber sorting system is divided into distinct functional modules: a first assembly for receiving random fibers, a second assembly for organized output, and a computing system for control. This segmentation allows each module to perform its specific function efficiently while reducing overall system complexity through modular design.
Solution Approach 2:
The computing system acts as an intermediary between the random fiber input and the organized fiber output. It processes the initial sequence, identifies key combinations, and controls the sliding mechanism to achieve predetermined sequencing, thereby automating the organization process without requiring direct manual intervention.
2Loss of time
If automated fiber sorting is implemented, then time and cost efficiency improve, but system complexity and initial investment increase
Solution Approach 1:
The second assembly is designed to slide across the first assembly dynamically, allowing flexible reconfiguration of fiber positions. This sliding mechanism enables automated sorting without requiring complex fixed positioning systems, reducing overall device complexity while maintaining fast organization capabilities.
Solution Approach 2:
The computing system obtains the initial sequence of fibers, compares it with the predetermined sequence, identifies key combinations, and adjusts the sliding action accordingly. This feedback loop ensures accurate fiber organization while automating the process to minimize time loss.
3Quantity of substance
If high-density connector terminations are achieved, then space utilization improves, but precision requirements and difficulty of organization increase
Solution Approach 1:
The patent replaces manual mechanical manipulation of fibers with an automated system combining computational algorithms and mechanical sliding action. The computing system determines the exact sliding distance and direction needed to achieve precise fiber sequencing, ensuring high accuracy even for high-density connectors with many fibers.
Solution Approach 2:
The system obtains and analyzes the initial fiber sequence before performing the sorting operation. By pre-calculating the key combinations and determining the optimal sliding action in advance, the system ensures precise fiber organization into the predetermined sequence, meeting the high precision requirements of high-density connector terminations.
Data Source
AI summary
A method organizes fibers. A plurality of fibers is received into a first assembly. An initial sequence of the plurality of fibers in the first assembly is obtained. A set of key combinations is identified from the initial sequence and a predetermined sequence. A second assembly is slid across the first assembly. The set of key combinations is actuated to move the plurality of fibers from the first assembly to the second assembly and order the plurality of fibers in the second assembly in the predetermined sequence.