Optical fiber polarization control optimization method and device, computer equipment and storage medium

Abstract

The invention provides an optical fiber polarization control optimization method and device, computer equipment and a storage medium, and relates to the technical field of optical waveguides. The method comprises the following steps: based on input polarization state distribution under different wavelengths and a Mueller matrix of a polarization maintaining optical fiber, calculating an output polarization state of each wavelength transmitted by the polarization maintaining optical fiber; mapping the output polarization state of each wavelength to a Poincare sphere, and quantitatively evaluating the consistency of the output polarization states according to the spatial distribution characteristics of the output polarization state of each wavelength on the spherical surface of the Poincare sphere to obtain a consistency evaluation function; the optimal optical fiber length is solved through an intelligent optimization algorithm by taking the minimization of a consistency evaluation function as a target, and the minimization of the consistency evaluation function represents the global minimization of the distance of the multi-wavelength output polarization state on the Poincare sphere.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of optical waveguide, and particularly to a fiber polarization control optimization method and device, computer equipment and readable storage medium. BACKGROUND

[0002] As the cornerstone of modern communication, fiber technology has profoundly restructured the information transmission system. However, with the popularization of wavelength division multiplexing technology, the polarization sensitivity of traditional single-mode fiber has become a key bottleneck restricting system performance. Single-mode polarization maintaining fiber, with its excellent polarization maintaining capability, has shown important application value in the field of high-speed optical communication. Through the polarization maintaining fiber, multi-wavelength parallel transmission is realized, and the wavelength division multiplexing technology is integrated, which can significantly improve the channel capacity. However, the existing scheme faces the core challenge: when the multi-wavelength light beams are coupled into the polarization maintaining fiber with the same linear polarization state, the output polarization states of each wavelength after transmission through the polarization maintaining fiber show significant differences, which affects the performance of the polarization multiplexing system. The reason is that the existing researches mainly focus on the transmission characteristics of a specific single wavelength, and lack of optimization of the polarization consistency of wide spectrum, which seriously limits its application in high-precision scenes such as polarization multiplexing. SUMMARY

[0003] Therefore, the present application provides a fiber polarization control optimization method and device, computer equipment and readable storage medium, which minimizes the distribution difference of the output polarization state when multi-wavelength light beams are transmitted together in the polarization maintaining fiber.

[0004] In the first aspect, the present application provides a fiber polarization control optimization method, comprising: Based on the input polarization state distribution under different wavelengths and the Mueller matrix of the polarization maintaining fiber, the output polarization state of each wavelength after transmission through the polarization maintaining fiber is calculated; The output polarization state of each wavelength is mapped to the Poincare sphere, and the consistency of the output polarization state is quantitatively evaluated through the spatial distribution characteristics of the output polarization state of each wavelength on the Poincare sphere surface to obtain a consistency evaluation function; The optimal fiber length is obtained by solving the intelligent optimization algorithm with the minimum consistency evaluation function as the target, wherein the minimum consistency evaluation function represents the global minimization of the distance of the output polarization state of the multi-wavelength on the Poincare sphere.

[0005] According to the above method of the present application, the following additional technical features can be further provided: In the above technical solution, optionally, the input polarization state of the i-th wavelength in the wavelength set is represented by a Stokes vector, and for linearly polarized light with an angle of θ with the x-axis, the Stokes vector of the input polarization state is:

[0006] As a birefringent device, the Mueller matrix of the polarization maintaining fiber is: i wherein, Δφ is a phase difference generated after passing through the polarization maintaining fiber.

[0007] wherein, Δφ is a phase difference generated after passing through the polarization maintaining fiber. After transmission through the polarization maintaining fiber, the output polarization state Stokes vector is:

[0008] wherein, the output polarization state Stokes vector is obtained by multiplying the Mueller matrix of the polarization maintaining fiber and the input polarization state Stokes vector.

[0009] In any of the above technical solutions, optionally, the θ angle of the input linearly polarized light ranges from 0° to 90°; and the phase difference Δφ in the Mueller matrix ranges from 0 to 2π.

[0010] In any of the above technical solutions, optionally, the output polarization state of each wavelength is mapped to a Poincare sphere, and the consistency of the output polarization state is quantitatively evaluated by the spatial distribution characteristics of the output polarization state on the Poincare sphere surface, to obtain a consistency evaluation function, including: The Stokes vector of the output polarization state is normalized to obtain a normalized coordinate point S i = (S1, S2, S3) on the Poincare sphere surface, wherein the normalized coordinate point S i satisfies S1 2 +S2 2 +S3 2 = 1. Based on the spatial distribution characteristics of the output polarization state of each wavelength on the Poincare sphere surface, a consistency evaluation function is determined, which represents the sum of squares of the spherical distances of the normalized coordinate points on the Poincare sphere surface, and is used to quantitatively evaluate the consistency between the output polarization states of each wavelength.

[0011] In any of the above technical solutions, optionally, when the fiber length is optimized by an intelligent optimization algorithm, the termination condition of the intelligent optimization algorithm includes that the number of loop iterations reaches a preset number, or the difference between the consistency evaluation functions obtained by adjacent two iterations is less than a first preset threshold, or the value of the consistency evaluation function is less than a second preset threshold.

[0012] In any of the above technical solutions, optionally, the wavelength set is a discrete point set {λ i |i=1, 2,..., n} or a continuous wavelength interval [λ min , λ max ].

[0013] Secondly, embodiments of this application provide an optical fiber polarization control optimization device, comprising: The polarization state calculation module is used to calculate the output polarization state of each wavelength after transmission through the polarization-maintaining fiber, based on the input polarization state distribution at different wavelengths in the wavelength set and the Mueller matrix of the polarization-maintaining fiber. The control optimization module is used to map the output polarization state of each wavelength to the Poincaré sphere. By using the spatial distribution characteristics of the output polarization state of each wavelength on the surface of the Poincaré sphere, the consistency of the output polarization state is quantitatively evaluated. The optimal fiber length is solved by intelligent optimization algorithm to minimize the global distance of the output polarization state of multiple wavelengths on the Poincaré sphere.

[0014] Thirdly, embodiments of this application provide a computer device including a processor and a memory, the memory storing programs or instructions that can run on the processor, the programs or instructions implementing the steps of the method as described in the first aspect when executed by the processor.

[0015] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method as described in the first aspect.

[0016] The fiber polarization control optimization method, apparatus, computer device, and readable storage medium of this application, based on the input polarization state distribution at different wavelengths and the Mueller matrix of the polarization-maintaining fiber, can calculate the output polarization state of each wavelength after transmission through the polarization-maintaining fiber. The output polarization state is mapped to a Poincaré sphere, and the continuous evolution of the multi-wavelength polarization state manifests as a spherical trajectory. The consistency of the output polarization state is quantitatively evaluated through the spatial distribution characteristics of the multi-wavelength polarization state on the sphere, and combined with an intelligent optimization algorithm to solve for the optimal fiber length, thereby globally minimizing the distance between the output polarization states of different wavelengths on the Poincaré sphere.

[0017] The embodiments of this application can minimize the distribution difference of output polarization state when multiple wavelength beams are transmitted together in polarization-maintaining fiber, thereby optimizing broadband polarization consistency and ensuring applications in high-precision scenarios such as polarization multiplexing.

[0018] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A flowchart illustrating the fiber polarization control optimization method according to an embodiment of this application is shown; Figure 2 The relative phase distribution curves between different wavelengths in embodiments of this application are shown; Figure 3 A schematic diagram of the polarization distribution of the incident beam according to an embodiment of this application is shown; Figure 4 The iterative curves of the particle swarm optimization algorithm according to an embodiment of this application are shown; Figure 5 The distribution of different wavelengths on the Poincaré sphere is shown in the embodiments of this application; Figure 6 A structural block diagram of the fiber polarization control optimization device according to an embodiment of this application is shown; Figure 7 A structural block diagram of a computer device according to an embodiment of this application is shown. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0021] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0022] The fiber polarization control optimization method, apparatus, computer equipment, and readable storage medium provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0023] To minimize the distribution differences in output polarization states when multiple wavelength beams propagate together in a polarization-maintaining fiber, this application provides a fiber polarization control optimization method, specifically a method for controlling and optimizing the polarization consistency of multi-wavelength outputs in a broadband polarization-maintaining fiber. For example... Figure 1 As shown, the method includes: Step 101: Based on the input polarization state distribution at different wavelengths and the Mueller matrix of the polarization-maintaining fiber, calculate the output polarization state of each wavelength after transmission through the polarization-maintaining fiber. Step 102: Map the output polarization state of each wavelength onto the Poincaré sphere. Quantitatively evaluate the consistency of the output polarization state by using the spatial distribution characteristics of the output polarization state of each wavelength on the surface of the Poincaré sphere, and obtain the consistency evaluation function. Step 103: With the goal of minimizing the consistency evaluation function, the optimal fiber length is obtained by solving the problem using an intelligent optimization algorithm. The minimization of the consistency evaluation function represents the global minimization of the distance between the multi-wavelength output polarization states on the Poincaré sphere.

[0024] In this embodiment, when the polarization direction of the incident light is not strictly aligned with the fast or slow axis of the polarization-maintaining fiber, orthogonal polarization modes with different propagation constants will be excited simultaneously. The phase difference between the two modes accumulates linearly with the transmission distance, resulting in the periodic evolution of the output polarization state.

[0025] Based on the input polarization state distribution at different wavelengths and the Mueller matrix of the polarization-maintaining fiber, the output polarization state of each wavelength after transmission through the polarization-maintaining fiber can be calculated. Mapping the output polarization state onto a Poincaré sphere, the continuous evolution of the multi-wavelength polarization state manifests as a spherical trajectory. The consistency of the output polarization state is quantitatively evaluated using the spatial distribution characteristics of the multi-wavelength polarization state on the sphere, and an intelligent optimization algorithm is used to solve for the optimal fiber length, thereby globally minimizing the distance between the output polarization states of different wavelengths on the Poincaré sphere.

[0026] The embodiments of this application can minimize the distribution difference of output polarization state when multiple wavelength beams are transmitted together in polarization-maintaining fiber, thereby optimizing broadband polarization consistency and ensuring applications in high-precision scenarios such as polarization multiplexing.

[0027] In one embodiment of this application, the wavelength set is a discrete point set {λ} i |i=1,2,...,n} or continuous wavelength interval [λ min ,λ max ], where n is the number of wavelengths.

[0028] In one embodiment of this application, the calculation method for the output polarization state includes: For wavelength set {λ i For |i=1,2,...,n}, the input polarization state of the i-th wavelength can be represented by the Stokes vector. For linearly polarized light making an angle θ with the x-axis, its Stokes vector is:

[0029] Polarization-maintaining fiber can be considered as a birefringent device with a wavelength of λ. i The Mueller matrix is:

[0030] Where Δφ is the phase difference generated after passing through the polarization-maintaining fiber. The Stokes vector of the output polarization state after transmission through the polarization-maintaining fiber is:

[0031] In one embodiment, the input linearly polarized beam angle θ ranges from [0°, 90°]; the phase difference Δφ in the Mueller matrix ranges from [0, 2π]. The Stokes vector of the output polarization state is obtained by multiplying the Mueller matrix of the polarization-maintaining fiber by the Stokes vector of the input polarization state.

[0032] In one embodiment of this application, the method of characterizing and numerically optimizing the Poincaré sphere includes: Normalizing the Stokes vector of the output polarization state yields the normalized coordinate point S on the Poincaré sphere. i = (S1, S2, S3), where S1, S2, and S3 are the parameters of the Poincaré sphere. The normalized coordinate point S... i Located on the surface of a Poincaré sphere, satisfying S1 2 +S2 2 +S3 2 =1.

[0033] When Δφ=0, corresponding to the input polarization state, as the phase difference Δφ changes, the continuous evolution of the polarization state can be mapped as the evolution of a geometric trajectory on a sphere, enabling the visual tracking of the polarization dynamics process. Furthermore, this method can also intuitively reflect the dispersion at different wavelengths.

[0034] For the wavelength set under consideration {λ i For the wavelength |i=1,2,...,n}, when the polarization states corresponding to each wavelength are clustered in a local region of the sphere, it indicates excellent polarization consistency, while dispersion indicates deterioration of polarization consistency. To quantitatively analyze the consistency between the output polarization states of each wavelength, the following consistency evaluation function can be defined:

[0035] The geometric meaning of the consistency evaluation function F(Δφ) is the Poincaré spherical point set {S i The sum of squared spherical distances is calculated. By combining this with an intelligent optimization algorithm to minimize the consistency evaluation function, the difference in polarization state between the output wavelengths can be guaranteed to be minimized. In particular, when F(Δφ) = 0, the polarization states of the multi-wavelength outputs are completely consistent.

[0036] In one embodiment, an intelligent optimization algorithm is used to optimize fiber parameters. The termination condition of the intelligent optimization algorithm is: the number of iterations reaches a preset number; or the difference |F| between the consistency evaluation function values ​​obtained from two adjacent iterations.k+1 -F k | less than the first preset threshold ε; or the consistency evaluation function value F is less than the second preset threshold δ.

[0037] In one specific embodiment of this application, Nufern PM630-HP polarization-maintaining fiber is used as the physical carrier, and seven discrete wavelength channels are selected: 633nm, 660nm, 690nm, 705nm, 730nm, 750nm, and 780nm. The relative proportions of the phase differences between the various wavelengths in this fiber are as follows: Figure 2 As shown, the phase corresponding to 633nm is used as a reference to normalize other wavelengths, and the output polarization state of each wavelength is calculated based on this relationship.

[0038] In practical optical path coupling, such as Figure 3 As shown, it is assumed that the polarization direction of each wavelength beam makes an angle θ with the fast axis of the fiber. i , and θ i All are 5°. Due to the birefringence dispersion effect, after transmission through polarization-maintaining fiber, the output polarization states of each wavelength undergo differential rotational shifts at the equatorial plane of the Poincaré sphere. To ensure that the output polarization states of each wavelength are as consistent as possible, a particle swarm optimization algorithm is used to minimize the consistency evaluation function value. The key parameters of the particle swarm optimization algorithm are set as follows: Number of particles: 50; Social learning factor: c1=c2=1.8; Inertia weight: ω=0.6; Number of iterations: 100; Convergence condition: ΔF<10 -6 .

[0039] Figure 4 The changes in the loss function during the iteration of the particle swarm optimization algorithm are shown. After 38 iterations, the loss function decreased from 1.12 to 0.12 (a decrease of approximately one order of magnitude). Figure 5 The distribution of the output polarization states of seven discrete wavelength points on the Poincaré sphere after transmission through polarization-maintaining fiber is shown. The relatively concentrated distribution of each wavelength point on the Poincaré sphere indicates that the output polarization states have good consistency.

[0040] As a specific implementation of the aforementioned fiber polarization control optimization method, this application provides a fiber polarization control optimization device. For example... Figure 6 As shown, the fiber polarization control optimization device 600 includes a polarization state calculation module 601 and a control optimization module 602.

[0041] Among them, the polarization state calculation module 601 is used to calculate the output polarization state of each wavelength after transmission through the polarization-maintaining fiber based on the input polarization state distribution under different wavelengths in the wavelength set and the Mueller matrix of the polarization-maintaining fiber. The control optimization module 602 is used to map the output polarization state of each wavelength to the Poincaré sphere. By using the spatial distribution characteristics of the output polarization state of each wavelength on the surface of the Poincaré sphere, the consistency of the output polarization state is quantitatively evaluated. The optimal fiber length is solved by intelligent optimization algorithm to minimize the global distance of the output polarization state of multiple wavelengths on the Poincaré sphere.

[0042] Furthermore, the input polarization state of the i-th wavelength in the wavelength set is represented by the Stokes vector. For linearly polarized light at an angle θ to the x-axis, the Stokes vector of the input polarization state is:

[0043] Polarization-maintaining fiber, as a birefringent device, has a wavelength of λ. i The Mueller matrix is:

[0044] Where Δφ is the phase difference generated after passing through the polarization-maintaining fiber; After transmission through polarization-maintaining fiber, the Stokes vector of the output polarization state is:

[0045] The Stokes vector of the output polarization state is obtained by multiplying the Mueller matrix of the polarization-maintaining fiber with the Stokes vector of the input polarization state.

[0046] Furthermore, the range of the angle θ of the input linearly polarized light is [0°, 90°]; the range of the phase difference Δφ in the Mueller matrix is ​​[0, 2π].

[0047] Furthermore, the control optimization module 602 is specifically used for: Normalizing the Stokes vector of the output polarization state yields the normalized coordinate point S on the surface of the Poincaré sphere. i = (S1, S2, S3), where the normalized coordinate point S i Satisfy S1 2 +S2 2 +S3 2 =1; Based on the spatial distribution characteristics of the output polarization states of each wavelength on the surface of the Poincaré sphere, a consistency evaluation function is determined. The consistency evaluation function characterizes the sum of squared spherical distances of normalized coordinate points on the surface of the Poincaré sphere and is used to quantitatively evaluate the consistency between the output polarization states of each wavelength.

[0048] Furthermore, when optimizing the fiber length using an intelligent optimization algorithm, the termination conditions of the intelligent optimization algorithm include: the number of iterations reaches a preset number, or the difference between the consistency evaluation functions obtained from two adjacent iterations is less than a first preset threshold, or the value of the consistency evaluation function is less than a second preset threshold.

[0049] Furthermore, the wavelength set is a discrete point set {λ} i |i=1,2,...,n} or continuous wavelength interval [λ min ,λ max ].

[0050] The fiber polarization control optimization device 600 in this application embodiment can be a computer device or a component within a computer device, such as an integrated circuit or a chip. The fiber polarization control optimization device 600 provided in this application embodiment can achieve... Figure 1 The various processes implemented in the fiber polarization control optimization method embodiment will not be described again here to avoid repetition.

[0051] This application also provides a computer device, such as... Figure 7 As shown, the computer device 700 includes a processor 701 and a memory 702. The memory 702 stores a program or instruction that can run on the processor 701. When the program or instruction is executed by the processor 701, it implements the various steps of the above-described fiber polarization control optimization method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0052] The memory 702 can be used to store software programs and various data. The memory 702 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 702 may include volatile memory or non-volatile memory, or both. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 702 in the embodiments of this application includes, but is not limited to, these and any other suitable types of memory.

[0053] Processor 701 may include one or more processing units; optionally, processor 701 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into processor 701.

[0054] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described fiber polarization control optimization method embodiments and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0055] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0056] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A fiber polarization control optimization method, characterized in that, include: Based on the input polarization state distribution at different wavelengths and the Mueller matrix of the polarization-maintaining fiber, the output polarization state after transmission through the polarization-maintaining fiber at each wavelength is calculated. The output polarization state of each wavelength is mapped onto a Poincaré sphere. By analyzing the spatial distribution characteristics of the output polarization state of each wavelength on the surface of the Poincaré sphere, the consistency of the output polarization state is quantitatively evaluated, resulting in a consistency evaluation function. With the goal of minimizing the consistency evaluation function, the optimal fiber length is obtained by solving the problem through an intelligent optimization algorithm. The minimization of the consistency evaluation function represents the global minimization of the distance between the multi-wavelength output polarization states on the Poincaré sphere.

2. The fiber polarization control optimization method according to claim 1, characterized in that, The input polarization state of the i-th wavelength in the wavelength set is represented by the Stokes vector. For linearly polarized light at an angle θ to the x-axis, the Stokes vector of the input polarization state is: Polarization-maintaining fiber, as a birefringent device, has a wavelength of λ. i The Mueller matrix is: Where Δφ is the phase difference generated after passing through the polarization-maintaining fiber; After transmission through polarization-maintaining fiber, the Stokes vector of the output polarization state is: The Stokes vector of the output polarization state is obtained by multiplying the Mueller matrix of the polarization-maintaining fiber with the Stokes vector of the input polarization state.

3. The fiber polarization control optimization method according to claim 2, characterized in that, The range of the θ angle of the input linearly polarized light is [0°, 90°]; The phase difference Δφ in the Mueller matrix is ​​in the range of [0, 2π].

4. The fiber polarization control optimization method according to claim 2, characterized in that, The process involves mapping the output polarization states of each wavelength to a Poincaré sphere, and then using the spatial distribution characteristics of the output polarization states on the surface of the Poincaré sphere to quantitatively evaluate the consistency of the output polarization states, resulting in a consistency evaluation function, including: Normalizing the Stokes vector of the output polarization state yields the normalized coordinate point S on the surface of the Poincaré sphere. i = (S1, S2, S3), where the normalized coordinate point S i Satisfy S1 2 +S2 2 +S3 2 =1; Based on the spatial distribution characteristics of the output polarization states of each wavelength on the surface of the Poincaré sphere, a consistency evaluation function is determined. The consistency evaluation function characterizes the sum of squared spherical distances of normalized coordinate points on the surface of the Poincaré sphere and is used to quantitatively evaluate the consistency between the output polarization states of each wavelength.

5. The fiber polarization control optimization method according to claim 1, characterized in that, When optimizing the fiber length using an intelligent optimization algorithm, the termination conditions of the intelligent optimization algorithm include: the number of iterations reaches a preset number, or the difference between the consistency evaluation functions obtained from two adjacent iterations is less than a first preset threshold, or the value of the consistency evaluation function is less than a second preset threshold.

6. The fiber polarization control optimization method according to any one of claims 1 to 5, characterized in that, The wavelength set is a discrete point set {λ} i |i=1,2,...,n}.

7. The fiber polarization control optimization method according to any one of claims 1 to 5, characterized in that, The wavelength set is a continuous wavelength range [λ] min ,λ max ].

8. A fiber polarization control optimization device, characterized in that, include: The polarization state calculation module is used to calculate the output polarization state of each wavelength after transmission through the polarization-maintaining fiber, based on the input polarization state distribution at different wavelengths in the wavelength set and the Mueller matrix of the polarization-maintaining fiber. The control optimization module is used to map the output polarization state of each wavelength to the Poincaré sphere. By using the spatial distribution characteristics of the output polarization state of each wavelength on the surface of the Poincaré sphere, the consistency of the output polarization state is quantitatively evaluated. The optimal fiber length is solved by intelligent optimization algorithm to minimize the global distance of the output polarization state of multiple wavelengths on the Poincaré sphere.

9. A computer device, characterized in that, It includes a processor and a memory, the memory storing a program or instructions that run on the processor, the program or instructions being executed by the processor to implement the steps of the fiber polarization control optimization method as described in any one of claims 1 to 7.

10. A readable storage medium having a program or instructions stored thereon, characterized in that, When the program or instructions are executed by the processor, they implement the steps of the fiber polarization control optimization method as described in any one of claims 1 to 7.

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