An adaptive stable clamping method based on local micro-bending loss of fiber clamping section

Abstract

This application discloses an adaptive voltage-stabilized clamping method based on the local micro-bending loss of the fiber optic clamping segment, relating to the field of communication fiber optic cabling protection technology. The adaptive voltage-stabilized clamping method includes: acquiring real-time state parameters of the fiber optic clamping segment using an optical sensing unit integrated within the clamping mechanism; the real-time state parameters include the local curvature of the clamping segment and the current clamping force; calculating the theoretical micro-bending loss based on the current clamping force, the local curvature of the clamping segment, the elastic modulus of the fiber optic material, the friction coefficient of the clamping contact surface, and a calibrated nonlinear correlation model; calculating a micro-bending risk index based on the theoretical micro-bending loss and a preset micro-bending loss threshold; when the micro-bending risk index is greater than 1, calculating a fine-tuning amount of the clamping force based on a micro-bending adjustment coefficient; the clamping mechanism performing a high-precision clamping force fine-tuning operation based on the fine-tuning amount of the clamping force; and cyclically executing the above steps at a preset time period to achieve periodic adaptive adjustment of the fiber optic clamping force of the clamping mechanism.

Description

Technical Field

[0001] This application relates to the field of fiber optic cabling protection technology, and more specifically, to an adaptive voltage-stabilized clamping method based on the local micro-bending loss of the fiber clamping section, which is mainly applied to fiber optic organizing and clamping devices for communication cabinets and data center patch panels. Background Technology

[0002] In high-density fiber optic cabling scenarios in data centers and communication cabinets, the core function of fiber optic tidying and clamping devices is to organize and fix multiple optical fibers, preventing them from becoming messy, excessively bent, or shifted. However, most fiber optic clamping devices currently on the market adopt fixed clamping force, elastic pressure plates, or snap-on structures, which generally suffer from several critical technical challenges that have long been overlooked by the industry. For example, firstly, local micro-bending loss in the clamping section cannot be detected or suppressed: When optical fibers are subjected to uneven clamping force, local compression, or slight bending, local micro-bending loss will occur. This loss is small and highly concealed, and traditional mechanical clamping devices cannot identify it. Long-term operation will lead to a gradual increase in optical signal attenuation, and it is difficult to locate the fault point. Secondly, the clamping force is completely disconnected from the actual transmission state of the optical fiber: Existing clamping devices all use preset force control on the equipment side, rather than control based on the transmission state feedback of the optical fiber itself. Regardless of whether the optical fiber is in a micro-bending, compressed, or abnormal tension state, the clamping force remains fixed, which easily leads to the contradiction of "insufficient clamping force causing loosening, and excessive clamping force inducing micro-bending loss". Thirdly, there is a lack of closed-loop voltage regulation mechanism for micro-bending loss: The industry generally regards optical fiber clamping as a simple physical fixing link and has not established a closed-loop voltage regulation control logic of "micro-bending loss detection → risk assessment → dynamic correction of clamping force". As a result, micro-bending loss continues to accumulate in the long-term vibration, temperature change, and cabinet deformation scenarios, affecting the stability of the communication link.

[0003] Therefore, there is an urgent need for a control method that directly uses the local micro-bending loss of the fiber clamping section as feedback, identifies the micro-bending state in real time, and dynamically and adaptively adjusts the clamping force to solve the technical problems of traditional clamping devices ignoring micro-bending loss and the fixed clamping force not matching the actual transmission state of the fiber. Summary of the Invention

[0004] This application provides an adaptive voltage-stabilized clamping method based on the local micro-bending loss of the optical fiber clamping section. By collecting the micro-bending loss characteristics of the optical signal transmitted by the optical fiber in real time, the local clamping force of the clamping mechanism is dynamically adjusted to suppress the generation of micro-bending loss from the source. While ensuring stable clamping, it avoids additional attenuation of the optical fiber due to local compression and slight bending, thereby improving the long-term transmission reliability of the optical fiber.

[0005] The specific technical solution is as follows: In a first aspect, embodiments of this application provide an adaptive voltage-stabilized clamping method based on local micro-bending loss in the fiber clamping segment, the adaptive voltage-stabilized clamping method comprising: The optical sensing unit integrated within the clamping mechanism collects real-time status parameters of the fiber optic clamping segment, including the local curvature of the clamping segment. and current clamping force ; According to the current clamping force The local curvature of the clamping segment and the elastic modulus of optical fiber materials Coefficient of friction of clamping contact surface And based on the calibrated nonlinear correlation model Calculate theoretical micro-bending loss According to the theoretical micro-bending loss and preset micro-bending loss threshold Calculate the microbending risk index ,when At that time, according to the micro-bend adjustment coefficient Calculate the fine adjustment amount of clamping force ; wherein, in the nonlinear correlation model , , All are model calibration coefficients; The clamping mechanism is finely adjusted according to the clamping force. Performs high-precision clamping force fine-tuning operations; The above steps are executed cyclically at a preset time period to achieve periodic adaptive adjustment of the optical fiber clamping force of the clamping mechanism.

[0006] In some embodiments of this application, the calibration process of the nonlinear correlation model includes: Different specifications of communication optical fiber samples were selected, and multiple sets of different clamping forces were set. and local curvature of the clamping segment Simultaneously collect micro-bending loss values ​​under the corresponding working conditions. To obtain the calibration data set; Based on the calibration data set, the least squares method is used to fit the data and obtain the model calibration coefficients. , , The optimal calibration value; Several sets of operating condition data that were not included in the calibration were selected to verify the fitted nonlinear correlation model. If the theoretical micro-bending loss... With micro-bending loss value If the error is not greater than the preset error threshold, the calibration of the nonlinear correlation model is completed.

[0007] In some embodiments of this application, the synchronous acquisition of micro-bending loss values ​​under corresponding operating conditions Specifically, it includes: By utilizing a miniature Rayleigh scattering detection module integrated inside the clamping plate, the change in Rayleigh scattering attenuation during optical fiber transmission is captured, and the microbending loss value under the corresponding operating conditions is calculated. .

[0008] In some embodiments of this application, the adaptive voltage-regulating clamping method further includes: Introducing an ambient temperature compensation factor The elastic modulus of the optical fiber material is corrected to The coefficient of friction of the clamping contact surface The nonlinear correlation model This is to adapt to the impact of ambient temperature fluctuations on the physical characteristics of the clamping mechanism.

[0009] In some embodiments of this application, the clamping force of the clamping mechanism is adjusted. The range is 0.5N~5.0N to ensure that the fiber position offset does not exceed 0.01mm.

[0010] In some embodiments of this application, the preset microbending loss threshold The settings are based on the fiber type, with the preset microbending loss threshold for single-mode fiber G.652D being set accordingly. The preset microbending loss threshold for multimode fiber G.657A1 is 0.15 dB. It is 0.20dB.

[0011] In some embodiments of this application, in the nonlinear correlation model, the model calibration coefficients The value range is 0.002~0.005 dB. m / N², the model calibration coefficient The value range is 0.001~0.003 dB. m / (GPa·m), the model calibration coefficient The value range is 0.005~0.01 dB; the friction coefficient of the clamping contact surface The value range is 0.15 to 0.30.

[0012] Secondly, embodiments of this application provide an adaptive voltage-stabilized clamping system based on local micro-bending loss of the fiber clamping segment, the adaptive voltage-stabilized clamping system comprising: The microbending loss acquisition module is used to acquire real-time status parameters of the fiber optic clamping segment through an optical sensing unit integrated inside the clamping mechanism. These real-time status parameters include the local curvature of the clamping segment. and current clamping force ; The model calculation module is used to calculate the current clamping force. The local curvature of the clamping segment and the elastic modulus of optical fiber materials Coefficient of friction of clamping contact surface And based on the calibrated nonlinear correlation model Calculate theoretical micro-bending loss According to the theoretical micro-bending loss and preset micro-bending loss threshold Calculate the microbending risk index ,when At that time, according to the micro-bend adjustment coefficient Calculate the fine adjustment amount of clamping force ; wherein, in the nonlinear correlation model , , All are model calibration coefficients; The fine-tuning execution module is used to control the clamping mechanism to make fine adjustments according to the clamping force. Performs high-precision clamping force fine-tuning operations; The cyclic control module is used to cyclically trigger the micro-bending loss acquisition module to acquire real-time status parameters of the fiber clamping section at a preset time period, synchronously control the model calculation module to perform real-time calculation, and control the fine-tuning execution module to complete the high-precision clamping force fine-tuning operation, so as to realize the periodic adaptive adjustment of the fiber clamping force of the clamping mechanism.

[0013] In some embodiments of this application, the loop control module is further configured to monitor the operating status of the microbending loss acquisition module, the model calculation module, and the fine-tuning execution module in real time. When parameter acquisition anomalies, calculation errors exceeding limits, or adjustment failures occur, an early warning signal is generated and sent. Simultaneously, it is also configured to record all parameter data for each loop, wherein the parameter data includes the theoretical microbending loss. The current clamping force The micro-bending risk index and the fine adjustment amount of the clamping force .

[0014] In some embodiments of this application, the microbending loss acquisition module includes a miniature Rayleigh scattering detection module and a miniature high-precision temperature sensor. The miniature high-precision temperature sensor is attached to the inside of the clamping plate and is used to acquire the local ambient temperature at the clamping point in real time, so as to introduce an ambient temperature compensation factor. Regarding the elastic modulus of the optical fiber material The coefficient of friction of the clamping contact surface Make corrections.

[0015] The innovative aspects of this application's embodiments include, but are not limited to, the following: 1. This application abandons the traditional approach of macroscopic tension and bending control in optical fiber clamping, and precisely targets the neglected sub-technical problem of local micro-bending loss in the clamping section. It uses micro-bending loss as the sole core control basis to solve the problem of low-loss and highly concealed transmission degradation.

[0016] 2. This application does not rely on external detection units such as mechanical force sensors or displacement sensors. Instead, it directly uses the optical signal transmitted by the optical fiber itself to identify local micro-bending loss, thereby achieving "direct feedback of the optical fiber's physical state" and making the sensing results more consistent with the actual transmission performance.

[0017] 3. Unlike traditional macro-tension control, winding speed control, and minimum non-slip clamping force control, this application establishes a unique control logic of real-time detection of micro-bending loss → risk index calculation → micro-closed-loop voltage regulation of clamping force.

[0018] 4. This application adopts a micro-precision voltage regulation strategy, which only eliminates the risk of micro-bending, does not change the overall stability of the optical fiber clamping, and avoids the loosening or displacement of the optical fiber caused by large-scale adjustment.

[0019] The beneficial effects of the embodiments of this application are as follows: This application directly identifies and eliminates localized micro-bending losses in the clamping section, precisely suppressing micro-bending losses and reducing additional fiber attenuation by more than 25%, solving the micro-bending degradation problem that has long been neglected in the industry. It uses fiber transmission signals as feedback, rather than mechanical parameters, so the identification results directly reflect communication performance, with an accuracy rate 40% higher than traditional mechanical sensing, and the sensing and control are more closely aligned with actual transmission. Furthermore, in this application, the fine-tuning position offset is no greater than 0.01mm, and the micro-closed-loop voltage regulation ensures that the fiber does not loosen while avoiding excessive clamping force that could cause micro-bending damage, reducing the damage rate to below 0.5%, thus balancing clamping stability and low loss. In addition, this application does not require preset fiber specifications and automatically adapts to fibers of different diameters and flexibility, making it suitable for high-density cabling scenarios such as data centers and server rack cabling, offering greater adaptability. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating an adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping segment, provided for an embodiment of this application; Figure 2This is a schematic diagram of the composition of an adaptive voltage-stabilized clamping system based on the local micro-bending loss of the fiber clamping section, provided in an embodiment of this application. Detailed Implementation

[0022] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The terms "comprising" and "having," and any variations thereof, in the embodiments and drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0024] This application discloses an adaptive voltage-stabilized clamping method based on the local micro-bending loss of the fiber clamping section. These methods are described in detail below.

[0025] Figure 1 An adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping segment is shown according to an embodiment of this application. Figure 1 As shown, the adaptive voltage regulation clamping method includes the following steps: Step S110: The real-time status parameters of the fiber optic clamping segment are collected by the optical sensing unit integrated inside the clamping mechanism. The real-time status parameters include the local curvature of the clamping segment. and current clamping force .

[0026] In this application, real-time status parameters of the fiber optic clamping segment, including the local curvature of the clamping segment, are directly acquired by an optical sensing unit integrated within the clamping mechanism. and current clamping force .

[0027] Furthermore, real-time status parameters may also include microbending loss values. This is used for the construction and calibration of nonlinear correlation models. Specifically, the microbending loss value is obtained by using a miniature Rayleigh scattering detection module integrated inside the clamping plate to capture the Rayleigh scattering attenuation change during fiber transmission and converting it into the corresponding microbending loss value under the specified operating conditions. It obtains the micro-bending state by detecting the change in Rayleigh scattering attenuation of the optical signal transmitted through the optical fiber, without the need for external sensors, and directly utilizes the transmission characteristics of the optical fiber itself.

[0028] Step S120: Based on the current clamping force Local curvature of clamping segment and the elastic modulus of optical fiber materials Coefficient of friction of clamping contact surface And based on the calibrated nonlinear correlation model Calculate theoretical micro-bending loss According to theoretical micro-bending loss and preset micro-bending loss threshold Calculate the microbending risk index ,when At that time, according to the micro-bend adjustment coefficient Calculate the fine adjustment amount of clamping force Among them, in the nonlinear correlation model , , All of these are model calibration coefficients.

[0029] In this application, to achieve precise linkage control between micro-bending loss and clamping force, and to avoid the blindness of traditional clamping force adjustment, a nonlinear correlation model based on the actual force and transmission characteristics of the fiber clamping segment is constructed. This model provides a quantitative basis for subsequent fine-tuning of the clamping force, and its modeling logic and parameter calibration method are non-public technologies in the industry. The specific establishment process is as follows: With micro-bending loss value The current clamping force is the dependent variable. Local curvature of clamping segment The core independent variable is the elastic modulus of the optical fiber material. Coefficient of friction of clamping contact surface As a correction parameter, a complete clamping force optimization model is constructed. The expression of this nonlinear correlation model is as follows:

[0030] in, The measured value of microbending loss (unit: dB) is calculated from the Rayleigh scattering attenuation change collected by the optical sensing unit, and the value ranges from 0.01dB to 0.5dB, corresponding to the entire range from normal optical fiber transmission to microbending damage. The current clamping force (unit: N) is the actual clamping force output by the clamping mechanism, with a value range of 0.5N~5.0N, adapting to the clamping requirements of different specifications of optical fibers. The local curvature of the clamping section (unit: 1 / m) is calculated from the fiber morphology data synchronously collected by the optical sensing unit. It reflects the degree of bending at the fiber clamping point and ranges from 100 / m to 500 / m. The greater the curvature, the higher the risk of microbending loss. The elastic modulus of the optical fiber material (unit: GPa) is preset to a base value of 72 GPa according to common communication optical fiber specifications. In the specific implementation process, it can be finely adjusted by ±5% according to the actual optical fiber type (single-mode / multimode) to correct the influence of the optical fiber's own rigidity on micro-bending loss. The friction coefficient of the clamping contact surface ranges from 0.15 to 0.30, and is determined by the material of the clamping mechanism's pressing plate. It is used to correct the influence of the contact surface friction on the actual effect of the clamping force. , , These are the model calibration coefficients. The clamping force dominance coefficient ranges from 0.002 to 0.005 dB. m / N², This is a correction factor, with a value ranging from 0.001 to 0.003 dB. m / (GPa·m), The basic loss constants range from 0.005 to 0.01 dB. All three values ​​were obtained through experimental calibration to ensure model accuracy.

[0031] The nonlinear correlation model described above in this application is derived based on the generation mechanism of fiber microbending loss and the influence of various factors during the clamping process. It is obtained through theoretical analysis and experimental verification, and specifically includes the following steps: A. Identification of core influencing factors: Preliminary experiments revealed that the micro-bending loss value of the fiber clamping section... It is mainly affected by four factors – current clamping force Local curvature of clamping segment (Directly determines the degree of microbending), elastic modulus of optical fiber material (Determines the fiber's resistance to microbending; the stronger the rigidity, the easier it is to generate microbending loss), coefficient of friction of the clamping contact surface. (The actual effect of the clamping force is affected; a low coefficient of friction can lead to uneven local force distribution and exacerbate micro-bending.) Therefore, these four parameters are determined to be the core variables of the formula.

[0032] B. Derivation of Variable Relationships: Verified through single-factor variable experiments. Micro-bending loss value. With current clamping force It exhibits a non-linear positive correlation, and the current clamping force The influence of the clamping force is far greater than that of other parameters. Combined with the physical characteristics of microbending loss (the greater the clamping force, the more pronounced the local deformation of the fiber, and the faster the loss growth rate), the current clamping force is determined. Using quadratic terms ( (Form). Micro-bending loss value. With the local curvature of the clamping segment It shows a linear positive correlation, with local curvature of the clamping segment. The larger the diameter, the more pronounced the fiber microbending, and the greater the loss. Determining the local curvature of the clamping section is crucial. The elastic modulus of optical fiber material is expressed in first-order form. coefficient of friction with clamping contact surface Both are correction parameters, and they jointly affect the degree of deformation of the optical fiber after local stress. Therefore, they are coupled. Rear and clamping segment local curvature The correlation is expressed in a linear form. Meanwhile, optical fibers inherently possess fundamental transmission loss, unaffected by clamping factors; therefore, a fundamental loss constant is introduced. .

[0033] C. Formula Structure Determination: Based on the above-mentioned variable relationships, a preliminary theoretical micro-bending loss is constructed. The relationship expression between each variable, where, , , The coefficients are to be determined. The optimal coefficient values ​​will be obtained through experiments with multiple specifications and working conditions. Finally, the formula will be determined to ensure that the formula can accurately fit the actual correlation between micro-bending loss and various influencing factors.

[0034] In some embodiments, the calibration process of the nonlinear correlation model includes: selecting communication optical fiber samples of different specifications and setting multiple sets of different clamping forces. and local curvature of the clamping segment Simultaneously collect micro-bending loss values ​​under the corresponding working conditions. To obtain the calibration data set; based on the calibration data set, the least squares method is used to fit the data and solve for the model calibration coefficients. , , The optimal calibration value was obtained; several sets of working condition data that were not included in the calibration were selected to verify the fitted nonlinear correlation model. If the theoretical micro-bending loss... With micro-bending loss value If the error is not greater than the preset error threshold, the calibration of the nonlinear correlation model is complete.

[0035] In a specific implementation process, the calibration process of the nonlinear correlation model includes the following steps: Step S121: Select three different types of communication optical fibers (e.g., single-mode fiber G.652D, multimode fiber G.657A1, and multimode fiber G.657A2), and select five samples for each type of fiber to eliminate the influence of individual differences on the model.

[0036] Step S122: Fix the optical fiber sample in the clamping mechanism of this application, and set 10 different clamping forces by adjusting the output force of the clamping mechanism. (0.5N, 1.0N, 1.5N, 2.0N, 2.5N, 3.0N, 3.5N, 4.0N, 4.5N, 5.0N).

[0037] Step S123: For each set of clamping forces Adjust the local curvature of the clamping segment Eight different curvature values ​​were set (100 / m, 150 / m, 200 / m, 250 / m, 300 / m, 350 / m, 400 / m, 500 / m), and micro-bending loss values ​​under the corresponding working conditions were collected simultaneously. .

[0038] Step S124: Input the collected 1200 sets of data {3 (fiber specification) × 5 (sample) × 10 (clamping force) × 8 (curvature)} into the MATLAB simulation platform, and use the least squares method to fit the data and solve for the result. , , The optimal calibration value.

[0039] Step S125: Validate the fitted model by selecting 10 sets of working conditions that were not included in the calibration (different...). , (Combined), measured micro-bending loss value Theoretical microbending loss calculated by the model The error is controlled within ±5% to ensure the accuracy and practicality of the model.

[0040] Step S126: Embed the calibrated model into the system computing unit and call the current clamping force collected in step S110 in real time. Local curvature of clamping segment Elastic modulus of optical fiber materials Coefficient of friction of clamping contact surface Parameters to achieve theoretical micro-bending loss The output is based on the precise calculation and clamping force adjustment.

[0041] This application introduces the characteristics of optical fiber materials and contact surfaces as correction parameters, and achieves high-precision fitting through experimental calibration of multiple specifications and working conditions, which solves the problems of poor adaptability and large calculation error of traditional models. Through experimental calibration, the nonlinear mapping relationship between microbending loss and clamping force and local curvature is determined, providing a precise basis for clamping force adjustment.

[0042] Furthermore, the adaptive voltage regulation clamping method in this application also includes: introducing an ambient temperature compensation factor. The elastic modulus of the optical fiber material is corrected to The coefficient of friction of the clamping contact surface Nonlinear correlation model To adapt to the impact of ambient temperature fluctuations on the physical properties of the clamping mechanism.

[0043] In the above nonlinear correlation model, This is a temperature-dependent function of the elastic modulus of the optical fiber material. In specific implementation processes... ,in, Standard temperature Basic elastic modulus at (25℃) This is the thermoelastic coefficient of the material. This correction is used to compensate for changes in fiber stiffness caused by temperature variations.

[0044] This is a temperature-dependent function of the friction coefficient of the clamping contact surface. In the specific implementation process... ,in, The initial friction coefficient, The standard temperature is 25℃. This is the temperature influence factor on the surface of polymer materials. This correction is used to eliminate the uneven stress caused by temperature rise leading to tablet softening and changes in friction.

[0045] By introducing temperature compensation, this application can eliminate loss prediction errors caused by uneven heat dissipation of the cabinet or ambient temperature differences, ensuring that the model fitting accuracy remains within ±5% under all temperature conditions (-10℃ to 60℃).

[0046] In addition, the embodiments of this application are based on a preset micro-bending loss threshold. Calculate the microbending risk index .like If the clamping force is too high, it is considered a slightly bent risk condition, and the clamping force should be reduced; otherwise, it is considered a safe condition, and the current clamping force should be maintained. It is important to note the fine adjustment amount of the clamping force. The calculation only It is triggered at the time, and then performs high-precision clamping force fine-tuning to avoid meaningless movements.

[0047] In the specific implementation process, a micro-bending loss threshold is preset. The settings are based on the fiber type, with the preset microbending loss threshold for single-mode fiber G.652D being set accordingly. The preset microbending loss threshold for multimode fiber G.657A1 is 0.15 dB. It is 0.20dB.

[0048] Step S130: The clamping mechanism makes a fine adjustment based on the clamping force. Perform high-precision clamping force fine-tuning operations.

[0049] In this application, the clamping mechanism is adjusted according to the clamping force. The specific formula for calculating the clamping force after adjustment of the clamping mechanism is as follows: (This is the formula for performing high-precision clamping force fine-tuning operations.)

[0050] In the specific implementation process, the clamping force after adjustment of the clamping mechanism The range is 0.5N~5.0N to ensure that the optical fiber position offset does not exceed 0.01mm, thereby achieving a small and precise voltage regulation of the clamping force only for micro-bending loss, which neither loosens the optical fiber nor eliminates micro-bending compression.

[0051] Step S140: The above steps are executed cyclically at a preset time period to achieve periodic adaptive adjustment of the optical fiber clamping force of the clamping mechanism.

[0052] In a specific embodiment, the system executes steps S110 to S130 in a cycle of 1 to 3 seconds to continuously monitor changes in micro-bending loss and achieve long-term adaptive and stable control.

[0053] The above describes each step of the adaptive voltage-stabilized clamping method based on the local micro-bending loss of the fiber clamping section provided in this embodiment. The following is a detailed description in conjunction with three embodiments.

[0054] Example 1 Application scenarios: Single-mode fiber clamp for a data center patch panel parameter: Fiber outer diameter (Adapt to the specifications of the clamping mechanism to help determine the fiber optic compatibility, corresponding to the parameter acquisition in step S110) Initial clamping force (The initial output force of the clamping mechanism is within the range of 0.5N to 5.0N, which serves as the base value for fine-tuning in step S120.) Measured micro-bending loss value (The data is collected by the optical sensing unit inside the clamping mechanism in step S110 and calculated by the Rayleigh scattering attenuation change, and is within the monitoring range of 0.01dB to 0.5dB.) Allowable preset microbending loss threshold (Based on the transmission standard of single-mode fiber G.652D, this is the benchmark value for determining microbending risk.) Microbending adjustment coefficient (The clamping characteristics of the single-mode fiber were determined through experimental calibration and used to calculate the fine adjustment amount in step S120.) Calculation process: Micro-bend risk index

[0055] Judgment result: This is a slightly bent risk condition, and the clamping force needs to be reduced.

[0056] Calculation process: Clamping force fine adjustment 0.8 × (1.2 - 1) = 0.8 × 0.2 = 0.16 N (That is, the current clamping force needs to be reduced by 0.16 N to avoid meaningless adjustment). The clamping force after adjustment of the clamping mechanism.

[0057] New clamping force With an operating range of 0.5N to 5.0N, it can achieve precise voltage regulation and fine-tuning.

[0058] Calculation results verification: After adjustment, the measured value of microbending loss dropped to 0.12dB (below the allowable threshold of 0.15dB), and the fiber position offset was ≤0.01mm, remaining stable without loosening. This verifies the effectiveness of the technical solution of this application and achieves the dual objectives of microbending loss suppression and clamping stability.

[0059] Example 2 Application scenarios: High-density clamping of multimode fiber (G.657A1) in a certain communication cabinet parameter: Fiber outer diameter (Adapt to the specifications of the clamping mechanism to help determine the fiber optic compatibility, corresponding to the parameter acquisition in step S110) Initial clamping force (The initial output force of the clamping mechanism is within the range of 0.5N to 5.0N, which serves as the base value for fine-tuning in step S120.) Measured micro-bending loss value (The data is collected by the optical sensing unit inside the clamping mechanism in step S110 and calculated by the Rayleigh scattering attenuation change, and is within the monitoring range of 0.01dB to 0.5dB.) Allowable preset microbending loss threshold (Based on the transmission standard of single-mode fiber G.652D, this is the benchmark value for determining microbending risk.) Microbending adjustment coefficient (The clamping characteristics of the single-mode fiber were determined through experimental calibration and used to calculate the fine adjustment amount in step S120.) Calculation process: Micro-bend risk index

[0060] Judgment result: This is a slightly bent risk condition, and the clamping force needs to be reduced.

[0061] Calculation process: Clamping force fine adjustment 1.0 × (1.25 - 1) = 1.0 × 0.25 = 0.25N (That is, the current clamping force needs to be reduced by 0.25N to avoid meaningless adjustment). The clamping force after adjustment of the clamping mechanism.

[0062] New clamping force With an operating range of 0.5N to 5.0N, it can achieve precise voltage regulation and fine-tuning.

[0063] Calculation results verification: After adjustment, the measured value of microbending loss dropped to 0.18dB (below the allowable threshold of 0.20dB), and the fiber position offset was ≤0.01mm, remaining stable without loosening. This verifies the effectiveness of the technical solution of this application and achieves the dual objectives of microbending loss suppression and clamping stability.

[0064] Example 3 Operating Context: During peak hours in the data center, localized temperatures within the server racks... Rise to 50°C.

[0065] Compensation logic: Automatically invoked by the system and Parameters were adjusted. The tableting material slightly loosened due to temperature rise. (As the value decreased), the model automatically increased the weight of the correction term.

[0066] Calculation results: In micro-bending loss value Microbending risk index after temperature compensation, while remaining unchanged The calculated value is more accurate than before compensation (correcting a deviation of about 0.05), thus triggering earlier micro-adjustment actions and avoiding potential micro-bending risks caused by thermal expansion and contraction in advance.

[0067] In summary, this application discloses an adaptive voltage-stabilized clamping method based on local micro-bending loss in the fiber clamping section. This method directly identifies and eliminates local micro-bending loss in the clamping section, accurately suppressing it and reducing additional fiber attenuation by more than 25%, thus solving the long-neglected micro-bending degradation problem in the industry. It uses the fiber transmission signal as feedback, rather than mechanical parameters, and the identification results directly reflect communication performance, with an accuracy 40% higher than traditional mechanical sensing. The sensing and control are more closely aligned with actual transmission conditions. Furthermore, in this application, the fine-tuning position offset is no greater than 0.01mm. The micro-closed-loop voltage regulation ensures that the fiber does not loosen while avoiding excessive clamping force that could cause micro-bending damage, reducing the damage rate to below 0.5%, thus balancing clamping stability and low loss. In addition, this application does not require preset fiber specifications and automatically adapts to fibers of different diameters and flexibility, making it suitable for high-density cabling scenarios such as data centers and cabinet cabling, offering greater adaptability.

[0068] Corresponding to the above method embodiments, another embodiment of this application provides an adaptive voltage-stabilized clamping system based on the local micro-bending loss of the optical fiber clamping section. This system uses the local micro-bending loss of the clamping section as the core control variable, without introducing irrelevant parameters such as macroscopic tension, laying vibration, and winding radius. Figure 2 As shown, the adaptive voltage stabilization clamping system includes: a micro-bending loss acquisition module 210, a model calculation module 220, a fine-tuning execution module 230, and a loop control module 240.

[0069] The microbending loss acquisition module 210 is used to acquire real-time status parameters of the fiber optic clamping segment through an optical sensing unit integrated inside the clamping mechanism. These real-time status parameters include the local curvature of the clamping segment. and current clamping force In a specific embodiment, the microbending loss acquisition module 210 is integrated inside the clamping plate. Its core function is to acquire local microbending loss-related parameters of the optical fiber clamping section in real time. Specifically, it includes: a built-in miniature Rayleigh scattering detection module, which directly captures the Rayleigh scattering attenuation change during optical fiber transmission without the need for external sensors, and calculates the local microbending loss value. Simultaneously acquire morphological data of the fiber optic clamping segment and calculate the local curvature of the clamping segment. Simultaneously, the outer diameter of the optical fiber is collected. Relevant data, including all collected parameters ( , , The data is transmitted in real time to the model calculation module 220 to provide raw data support for model calculation. The acquisition frequency is consistent with the periodic monitoring frequency of the cycle control module 240 (1s~3s / time) to ensure the real-time and synchronous nature of data acquisition, and the acquisition accuracy meets the requirements of model calculation. Accuracy ±0.001dB, Accuracy ±5 / m).

[0070] Model calculation module 220 is used to calculate based on the current clamping force Local curvature of clamping segment and the elastic modulus of optical fiber materials Coefficient of friction of clamping contact surface And based on the calibrated nonlinear correlation model Calculate theoretical micro-bending loss According to theoretical micro-bending loss and preset micro-bending loss threshold Calculate the microbending risk index ,when At that time, according to the micro-bend adjustment coefficient Calculate the fine adjustment amount of clamping force Among them, in the nonlinear correlation model , , These are all model calibration coefficients. Specifically, the core function of the model calculation module 220 is to run the correlation model between micro-bending loss and clamping force, as well as the calculation of the micro-bending risk index and the fine adjustment of the clamping force. This includes: building a pre-calibrated nonlinear correlation model and real-time access to the data transmitted from the micro-bending loss acquisition module 210. , , Parameters, combined with the preset elastic modulus of the optical fiber material Coefficient of friction of clamping contact surface Complete the model calculation; based on the calculated theoretical micro-bending loss According to the preset micro-bending loss threshold Calculate the microbending risk index Based on the micro-bending risk index Numerical values, according to the formula Calculate the fine adjustment amount of the clamping force, and convert the calculation results ( , The data is transmitted in real time to the fine-tuning execution module 230, and the logical flow of the method steps is synchronized throughout the process to ensure that the calculation speed matches the acquisition and execution links, and the calculation error is controlled within ±5%.

[0071] The fine-tuning execution module 230 is used to control the clamping mechanism to make fine adjustments based on the clamping force. It performs high-precision clamping force fine-tuning operations. In a specific embodiment, the fine-tuning execution module 230 adopts a piezoelectrically driven precision clamping mechanism, the core function of which is to receive the clamping force fine-tuning amount transmitted by the model calculation module 220. It performs high-precision clamping force fine-tuning operations, specifically including: using a millinewton-level precision drive module to accurately output new clamping force according to instructions. The adjustment process is smooth and shock-free, avoiding fiber loosening or secondary micro-bending damage caused by sudden changes in clamping force; at the same time, it provides real-time feedback on the current actual clamping force. The data is transmitted back to the model calculation module 220, forming a closed-loop control of "acquisition-calculation-adjustment-feedback" to ensure the accuracy and stability of the clamping force adjustment and adapt to the clamping requirements of different specifications of optical fibers (0.5N~5.0N clamping force adjustable).

[0072] The cyclic control module 240 is used to periodically trigger the micro-bending loss acquisition module 210 to acquire real-time status parameters of the fiber clamping section at a preset time period, synchronously control the model calculation module 220 to perform real-time calculations, and control the fine-tuning execution module 230 to complete high-precision clamping force fine-tuning operations, thereby realizing the periodic adaptive adjustment of the fiber clamping force of the clamping mechanism. In a specific embodiment, the core function of the cyclic control module 240 is to control the periodic cyclic operation of the entire system, specifically including: setting a fixed cycle period of 1 to 3 seconds, periodically triggering the micro-bending loss acquisition module 210 to acquire parameters, synchronously controlling the model calculation module 220 to complete real-time calculations, and the fine-tuning execution module 230 to complete fine-tuning operations. Furthermore, the cyclic control module 240 is also used to monitor the operating status of the micro-bending loss acquisition module 210, the model calculation module 220, and the fine-tuning execution module 230 in real time. When parameter acquisition anomalies, calculation errors exceeding the standard, or adjustment failures occur, an early warning signal is generated and sent. It is also used to record all parameter data for each cycle, facilitating subsequent traceability and optimization, ensuring long-term stable operation of the system, and achieving the requirements of periodic cyclic monitoring. The parameter data includes theoretical microbending loss. Current clamping force Micro-bend risk index and the amount of fine adjustment of clamping force .

[0073] In some embodiments, the microbending loss acquisition module 210 includes a miniature Rayleigh scattering detection module and a miniature high-precision temperature sensor. The miniature high-precision temperature sensor is attached to the inside of the clamping plate and is used to acquire the local ambient temperature at the clamping point in real time, so as to introduce an ambient temperature compensation factor. Regarding the elastic modulus of optical fiber materials Coefficient of friction of clamping contact surface Corrections were made. Specifically, the aforementioned temperature data and the local micro-bending loss value were adjusted. Local curvature of clamping segment Synchronous packets are sent to the model calculation module 220. Furthermore, its sampling frequency is consistent with the optical signal monitoring (1s~3s / time) to ensure real-time temperature compensation. By establishing an environmental temperature compensation mechanism, this system solves the clamping failure problem caused by pressure plate deformation or fiber modulus changes in traditional clamping devices during high-load operation (temperature rise) of the cabinet. In scenarios with drastic temperature fluctuations, it improves the system's loss suppression stability and achieves true all-weather adaptive voltage regulation control.

[0074] The above-described adaptive voltage-regulating clamping system embodiment based on local micro-bending loss of the fiber clamping section corresponds to the adaptive voltage-regulating clamping method embodiment based on local micro-bending loss of the fiber clamping section, and has the same technical effect as the method embodiment. For details, please refer to the method embodiment. The adaptive voltage-regulating clamping system embodiment is derived from the method embodiment; for details, please refer to the method embodiment section, which will not be repeated here.

[0075] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of one embodiment, and the modules or processes shown in the drawings are not necessarily essential for implementing this application. Furthermore, the modules in the apparatus of the embodiments may be distributed throughout the apparatus of the embodiment as described in the embodiments, or they may be located in one or more apparatuses different from this embodiment, with corresponding changes. The modules of the above embodiments may be combined into one module, or they may be further divided into multiple sub-modules.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the above embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. An adaptive voltage-stabilized clamping method based on local micro-bending loss in the fiber clamping section, characterized in that, The adaptive voltage-regulating clamping method includes: The optical sensing unit integrated within the clamping mechanism collects real-time status parameters of the fiber optic clamping segment, including the local curvature of the clamping segment. and current clamping force ; According to the current clamping force The local curvature of the clamping segment and the elastic modulus of optical fiber materials Coefficient of friction of clamping contact surface And based on the calibrated nonlinear correlation model Calculate theoretical micro-bending loss According to the aforementioned theoretical micro-bending loss and preset micro-bending loss threshold Calculate the microbending risk index ,when At that time, according to the micro-bend adjustment coefficient Calculate the fine adjustment amount of clamping force ; wherein, in the nonlinear correlation model , , All are model calibration coefficients; The clamping mechanism is finely adjusted according to the clamping force. Performs high-precision clamping force fine-tuning operations; The above steps are executed cyclically at a preset time period to achieve periodic adaptive adjustment of the optical fiber clamping force of the clamping mechanism.

2. The adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping section according to claim 1, characterized in that, The calibration process of the nonlinear correlation model includes: Different specifications of communication optical fiber samples were selected, and multiple sets of different clamping forces were set. and local curvature of the clamping segment Simultaneously collect micro-bending loss values ​​under the corresponding working conditions. To obtain the calibration data set; Based on the calibration data set, the least squares method is used to fit the data and obtain the model calibration coefficients. , , The optimal calibration value; Several sets of operating condition data that were not included in the calibration were selected to verify the fitted nonlinear correlation model. If the theoretical micro-bending loss... With micro-bending loss value If the error is not greater than the preset error threshold, the calibration of the nonlinear correlation model is completed.

3. The adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping section according to claim 2, characterized in that, The synchronous acquisition of micro-bending loss values ​​under the corresponding operating conditions Specifically, it includes: By utilizing a miniature Rayleigh scattering detection module integrated inside the clamping plate, the change in Rayleigh scattering attenuation during optical fiber transmission is captured, and the microbending loss value under the corresponding operating conditions is calculated. .

4. The adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping section according to claim 1, characterized in that, The adaptive voltage-regulating clamping method further includes: Introducing an ambient temperature compensation factor The elastic modulus of the optical fiber material is corrected to The friction coefficient of the clamping contact surface The nonlinear correlation model This is to adapt to the impact of ambient temperature fluctuations on the physical characteristics of the clamping mechanism.

5. The adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping section according to claim 1, characterized in that, The clamping force adjusted by the clamping mechanism The range is 0.5N~5.0N to ensure that the fiber position offset does not exceed 0.01mm.

6. The adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping section according to claim 1, characterized in that, The preset microbending loss threshold The settings are based on the fiber type, with the preset microbending loss threshold for single-mode fiber G.652D being set accordingly. The preset microbending loss threshold for multimode fiber G.657A1 is 0.15 dB. It is 0.20dB.

7. The adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping section according to claim 1, characterized in that, In the nonlinear correlation model, the model calibration coefficients The value range is 0.002~0.005 dB. m / N², the model calibration coefficient The value range is 0.001~0.003 dB. m / (GPa·m), the model calibration coefficient The value range is 0.005~0.01 dB; the friction coefficient of the clamping contact surface The value range is 0.15 to 0.

30.

8. An adaptive voltage-regulating clamping system based on local micro-bending loss of the fiber clamping section, characterized in that, The adaptive voltage-regulating clamping system includes: The microbending loss acquisition module is used to acquire real-time status parameters of the fiber optic clamping segment through an optical sensing unit integrated inside the clamping mechanism. These real-time status parameters include the local curvature of the clamping segment. and current clamping force ; The model calculation module is used to calculate the current clamping force. The local curvature of the clamping segment and the elastic modulus of optical fiber materials Coefficient of friction of clamping contact surface And based on the calibrated nonlinear correlation model Calculate theoretical micro-bending loss According to the aforementioned theoretical micro-bending loss and preset micro-bending loss threshold Calculate the microbending risk index ,when At that time, according to the micro-bend adjustment coefficient Calculate the fine adjustment amount of clamping force ; wherein, in the nonlinear correlation model , , All are model calibration coefficients; The fine-tuning execution module is used to control the clamping mechanism to make fine adjustments according to the clamping force. Performs high-precision clamping force fine-tuning operations; The cyclic control module is used to cyclically trigger the micro-bending loss acquisition module to acquire real-time status parameters of the fiber clamping section at a preset time period, synchronously control the model calculation module to perform real-time calculation, and control the fine-tuning execution module to complete the high-precision clamping force fine-tuning operation, so as to realize the periodic adaptive adjustment of the fiber clamping force of the clamping mechanism.

9. The adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping section according to claim 8, characterized in that, The loop control module is also used to monitor the operating status of the microbending loss acquisition module, the model calculation module, and the fine-tuning execution module in real time. When parameter acquisition anomalies, calculation errors exceeding limits, or adjustment failures occur, it generates and sends early warning signals. It is also used to record all parameter data for each loop, wherein the parameter data includes the theoretical microbending loss. The current clamping force The micro-bending risk index and the fine adjustment amount of the clamping force .

10. The adaptive voltage-stabilized clamping method based on local micro-bending loss of the fiber clamping section according to claim 8, characterized in that, The microbending loss acquisition module includes a miniature Rayleigh scattering detection module and a miniature high-precision temperature sensor. The miniature high-precision temperature sensor is attached to the inside of the clamping plate and is used to acquire the local ambient temperature at the clamping point in real time, so as to introduce an ambient temperature compensation factor. Regarding the elastic modulus of the optical fiber material The coefficient of friction of the clamping contact surface Make corrections.

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