Automatic Optical Fiber Type Determination
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Solution Overview
Problem
Optical network operators face challenges in determining the type of optical fibers used in their networks due to limited access, knowledge, or records, especially when fibers are purchased or leased from third parties, leading to varied transmission performance and signal impairments.
Innovation Solution
A method and apparatus for automatically determining the fiber type of an optical fiber span by measuring its length and chromatic dispersion, using a processing unit to determine the fiber dispersion profile and category, and configuring network parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fiber type determination is performed manually or through documentation review, then implementation complexity is low, but measurement precision and reliability are insufficient due to lack of accurate fiber information
Solution Approach 1:
The patent replaces manual documentation review and physical fiber inspection with an automated optical measurement system. The determination apparatus uses optical signals to measure chromatic dispersion and length parameters, automatically identifying fiber type without human intervention. This substitution of mechanical/manual processes with optical automation resolves the contradiction by providing precise measurement while managing system complexity through standardized measurement procedures.
Solution Approach 2:
The determination apparatus enables the optical network system to automatically characterize its own fiber infrastructure. By measuring chromatic dispersion and length parameters directly within the network, the system self-determines fiber type without requiring external documentation or manual intervention. This self-service capability improves measurement precision while keeping the apparatus relatively simple by utilizing existing network infrastructure.
2Reliability
If comprehensive fiber inventory records are maintained, then fiber type determination reliability improves, but loss of information and access difficulties increase when fibers are leased from third parties
Solution Approach 1:
The determination apparatus performs fiber type identification proactively before optical signal transmission issues occur. By automatically measuring chromatic dispersion and length parameters when needed, the system obtains reliable fiber information without relying on potentially unavailable documentation. This preliminary measurement action ensures reliability while avoiding the information access problems associated with third-party leased fibers.
Solution Approach 2:
The system implements a feedback mechanism where measured chromatic dispersion and length parameters are used to automatically determine fiber type and update network configuration. This closed-loop approach ensures that the most current and accurate fiber information is always available for transmission optimization, improving reliability without depending on external documentation that may be inaccessible or outdated.
3Measurement precision
If fiber type is determined using multiple measurement parameters, then measurement precision improves, but measurement time and productivity decrease
Solution Approach 1:
The determination apparatus measures chromatic dispersion at specific wavelengths (e.g., 1550 nm) and combines this with length measurements to sufficiently identify fiber type. While comprehensive multi-wavelength measurements could provide even greater precision, the patent uses a practical subset of measurements that achieves adequate accuracy for network configuration purposes. This partial measurement approach maintains productivity while providing sufficient measurement precision for reliable fiber type determination.
Solution Approach 2:
The system changes measurement parameters dynamically based on the specific determination needs. By measuring chromatic dispersion at key wavelengths and combining with length data, the apparatus efficiently identifies fiber type categories (e.g., SMF, DSF, NZDSF). This parameter optimization resolves the contradiction by achieving sufficient measurement precision without the excessive time cost of comprehensive multi-parameter measurements at all possible wavelengths.
4Reliability
If network parameters are manually configured based on assumed fiber types, then device complexity is low, but transmission performance and reliability deteriorate due to incorrect parameter settings
Solution Approach 1:
The determination apparatus creates a feedback loop where measured fiber parameters (chromatic dispersion, length) automatically inform network configuration settings. The system uses these measurements to determine fiber type and subsequently configure transmission parameters such as dispersion compensation and amplifier settings. This automated feedback mechanism improves transmission reliability by ensuring correct parameter settings while managing device complexity through systematic configuration procedures based on measured data.
Solution Approach 2:
The network system performs self-configuration based on automatically measured fiber characteristics. The determination apparatus enables the network to autonomously determine fiber type and adjust transmission parameters without manual intervention. This self-service capability improves transmission reliability by ensuring parameters match actual fiber properties while keeping the added system complexity manageable through automated decision-making algorithms.
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 accurate identification of fiber types, optimizing transmission performance by configuring network parameters such as amplifier gain and tilt compensation, and maintaining an updated fiber inventory record.
Implementation Method 1
measuring a chromatic dispersion of said optical fiber span
Data Source
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AI summary
A method and apparatus for automatic determination of a fiber type of at least one optical fiber span used in a link of an optical network, the method comprising the steps of measuring a length of said optical fiber span; measuring a chromatic dispersion of said optical fiber span; determining a fiber dispersion profile of said optical fiber span on the basis of the measured length and the measured fiber chromatic dispersion; and determining a fiber category and/or a specific fiber type of said optical fiber span depending on the determined fiber dispersion profile.