Wire take-up tension intelligent control system

Abstract

The present application relates to the technical field of take-up tension control, and discloses an intelligent take-up tension control system. A multi-source sensing acquisition unit of the system acquires a wire distribution topology graph through a tension sensing platform, acquires reference tension parameters of a take-up reference point, and acquires strain characteristics and motion speed characteristics of each wire section; a dynamic characteristic modeling unit fuses the reference tension parameters with the above-mentioned characteristics in multiple modes to generate a multi-modal tension characteristic matrix; a static path analysis unit constructs a static tension conduction path based on tension characteristic values in the matrix and corresponding wire sections; a take-up execution control unit controls a take-up trajectory of a take-up mechanism on an adjustable path in combination with static path conduction node values and corresponding wire sections; and a dynamic compensation unit acquires dynamic tension parameters of a current wire section in a take-up process, and compensates and corrects a take-up mechanism tension application direction according to the static path conduction node values, thereby improving take-up tension control stability and precision.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of take-up tension control, in particular to a take-up tension intelligent control system. BACKGROUND

[0002] In the industrial production fields of electric wire and cable, textile, metal wire processing, etc., the take-up process is an important link of product forming, and the stability of tension in the take-up process is directly related to the final quality of the wire. The take-up tension control system used in the current industry mostly uses a single sensor to collect tension, which can only obtain the tension data of a fixed point in the take-up process, and cannot fully grasp the distribution state of the wire in the entire take-up path. Because the wire will present different distribution topological forms in the take-up process, the influence of the external environment on the wire in different sections, the difference in material properties and the change in motion state will all cause the tension to fluctuate, and the tension data of a single reference point cannot reflect the tension distribution law of the entire wire, making the subsequent tension control lack comprehensive and accurate initial basis.

[0003] When collecting the characteristics of the wire, the traditional control system often only focuses on the tension value itself, ignoring the strain condition and motion speed change of the wire in different sections. The strain characteristics of the wire can reflect its deformation state in the force process, and the motion speed characteristics are directly related to the running rhythm of the take-up mechanism. The lack of these two types of characteristics makes the control system unable to establish the correlation between tension and the actual state of the wire, and it is difficult to accurately judge the root cause of tension fluctuation. In terms of tension characteristic processing, the traditional method mostly uses single-dimensional data processing method, which cannot effectively fuse the reference tension parameters with multi-dimensional characteristics such as wire strain and motion speed, and it is difficult to form a characteristic model that can fully represent the tension state of the wire, and thus it is difficult to provide fine decision support for tension control.

[0004] In the path analysis and execution control link, the traditional system usually performs take-up operation according to the preset fixed path, without considering the difference in tension characteristics of different wire sections. Due to the lack of a static tension transmission path constructed based on actual tension characteristics, the adjustable path of the take-up mechanism does not match the actual tension distribution of the wire, causing the take-up trajectory to be unable to adaptively adjust according to the tension requirements of different sections of the wire, and easily causing local tension to be too large or too small, and thus causing problems such as wire stretching deformation, surface damage or irregular take-up arrangement. In addition, the take-up process is a dynamic process, and the wire will be affected by various dynamic factors such as equipment vibration, uneven raw material quality, external resistance change, etc. in the movement, and the traditional control system lacks effective dynamic compensation mechanism, cannot collect the dynamic tension parameters of the current wire section in real time, and cannot correct the direction of tension in time according to the difference between the dynamic parameters and the preset static parameters, so that the take-up tension is difficult to maintain stable in the dynamic environment, which seriously affects the production efficiency and product quality. SUMMARY

[0005] The present application aims to provide a take-up tension intelligent control system to solve the problems raised in the background art.

[0006] To achieve the above-mentioned purpose, the present application provides a take-up tension intelligent control system, which comprises:

[0007] A multi-source sensing acquisition unit acquires a wire distribution topology graph through a tension sensing platform, collects tension of a take-up reference point based on the wire distribution topology graph, and obtains a reference tension parameter;

[0008] The multi-source sensing acquisition unit collects features according to each wire section in the wire distribution topology graph, and obtains wire strain features and motion speed features corresponding to each wire section respectively;

[0009] A dynamic feature modeling unit performs multi-modal fusion on the wire strain features and motion speed features corresponding to each wire section respectively based on the reference tension parameter, and generates a multi-modal tension feature matrix;

[0010] A static path analysis unit constructs a static tension conduction path based on each tension feature value in the multi-modal tension feature matrix and the wire section corresponding thereto respectively;

[0011] A take-up execution control unit acquires an adjustable path of a take-up mechanism, controls a take-up trajectory of the take-up mechanism on the adjustable path based on a conduction node value in the static tension conduction path and the wire section corresponding thereto respectively;

[0012] A dynamic compensation unit collects a dynamic tension parameter of a current wire section during the take-up process, and compensates and corrects a tension exertion direction of the take-up mechanism according to the dynamic tension parameter of the current wire section and the conduction node value in the static tension conduction path.

[0013] Preferably, the multi-source sensing acquisition unit comprises:

[0014] A wire partition subunit acquires the wire distribution topology graph, performs section segmentation based on a density gradient in the wire distribution topology graph, and obtains a plurality of wire sections;

[0015] A strain acquisition subunit acquires a take-up traction direction, selects an initial section for wire strain feature acquisition according to the take-up traction direction, selects a next wire section for wire strain feature acquisition based on the take-up traction direction, and completes wire strain feature acquisition of each wire section;

[0016] The speed mapping subunit obtains a wire movement vector, reselects an initial section for movement speed feature collection according to the wire movement vector, selects a next wire section for movement speed feature collection based on the wire movement vector, and performs movement speed feature collection on each wire section until the movement speed feature collection is completed.

[0017] Preferably, the dynamic feature modeling unit performs:

[0018] determining a feature fusion depth according to the reference tension parameter;

[0019] obtaining wire strain features and movement speed features corresponding to a first wire section, selecting a comparison section for multi-modal fusion according to the position coordinates of the first wire section and the feature fusion depth, and generating a tension feature value corresponding to the first wire section;

[0020] After sequentially obtaining wire strain features and movement speed features of other wire sections, the multi-modal fusion operation is repeatedly performed to generate tension feature values of each wire section, and a matrix mapping is performed according to the wire distribution topology to generate the multi-modal tension feature matrix.

[0021] Preferably, the static path analysis unit comprises:

[0022] The conduction node generation subunit extracts each tension feature value in the multi-modal tension feature matrix and the respective wire section coordinates;

[0023] The path topology construction subunit establishes a conduction node connection chain based on the spatial relationship between wire section coordinates, and defines a conduction path weight value according to the gradient change of the tension feature value;

[0024] The static path optimization subunit iteratively calculates the conduction path weight value using a dynamic topology optimization algorithm to generate a minimum conduction loss path as the static tension conduction path.

[0025] Preferably, the take-up execution control unit performs:

[0026] obtaining conduction node values in the static tension conduction path and the respective wire sections;

[0027] extracting all adjustable path segments of the take-up mechanism and the adjacent wire sections corresponding to each path segment;

[0028] determining a take-up starting point, weighting and accumulating the conduction node values of all adjacent wire sections corresponding to the adjustable path segment as a priority passing coefficient of the adjustable path segment, and generating a take-up trajectory of the take-up mechanism starting from the take-up starting point using a gradient optimization algorithm.

[0029] Preferably, the dynamic compensation unit comprises:

[0030] a deviation response subunit configured to obtain a real-time deviation amount of the dynamic tension parameter of the current wire section and the corresponding conduction node value in the static tension conduction path;

[0031] a compensation decision subunit configured to determine a compensation depth according to the tension fluctuation characteristics of the current wire section when the real-time deviation amount exceeds a tolerance threshold, and obtain the conduction node value of the adjacent wire section based on the compensation depth;

[0032] a direction correction subunit configured to generate a tension application direction compensation vector by combining the conduction node value of the adjacent wire section, and adjust the tension application direction of the take-up mechanism.

[0033] Preferably, the direction correction subunit performs:

[0034] calculating an inclination adjustment amount of the take-up roller according to the tension application direction compensation vector;

[0035] generating a roller posture control signal based on the inclination adjustment amount, and synchronously updating the tension application direction of the take-up mechanism.

[0036] Preferably, the system further comprises:

[0037] a real-time feedback unit configured to continuously collect a wire vibration frequency spectrum in the take-up process, and convert the wire vibration frequency spectrum into a real-time frequency spectrum characteristic value;

[0038] a path updating unit configured to re-trigger the dynamic characteristic modeling unit to update the multi-modal tension characteristic matrix and drive the static path analysis unit to reconstruct the static tension conduction path when the real-time frequency spectrum characteristic value and the conduction node value of the static tension conduction path deviate continuously.

[0039] Preferably, the multi-source sensing collection unit collects wire strain characteristics through a distributed optical fiber sensor and collects motion speed characteristics through an encoder.

[0040] Preferably, the dynamic compensation unit and the real-time feedback unit form a closed loop control, and the real-time frequency spectrum characteristic value output by the real-time feedback unit serves as a compensation correction trigger condition of the dynamic compensation unit.

[0041] Compared with the prior art, the present application has the following advantages:

[0042] The wire take-up tension intelligent control system realizes comprehensive acquisition of wire tension data through a multi-source sensing acquisition unit. It can not only accurately collect the reference tension parameters of the reference points of the wire distribution topology, but also collect the corresponding wire strain characteristics and motion speed characteristics for each wire section. This multi-dimensional and comprehensive feature collection method breaks through the limitation of traditional single sensors that can only acquire local data, enabling the control system to fully grasp the distribution state and actual operating characteristics of the wire in the entire take-up path, providing more comprehensive and actual working condition-based basic data for subsequent tension control, making the initial basis for tension control more scientific and accurate.

[0043] The dynamic feature modeling unit adopts a multi-modal fusion technology to fuse the reference tension parameters with the strain characteristics and motion speed characteristics of each wire section, generating a multi-modal tension feature matrix. This fusion method can fully exploit the internal relationships between different types of features, converting scattered single-dimensional data into a multi-dimensional feature set that can fully represent the tension state of the wire, making the description of tension features more refined and comprehensive. Through this feature matrix, the control system can clearly grasp the variation law and influencing factors of the tension of different wire sections, providing accurate decision-making basis for subsequent path analysis and execution control, effectively avoiding control deviations caused by incomplete feature information.

[0044] The static path analysis unit constructs a static tension conduction path based on the multi-modal tension feature matrix, fully considering the differences in tension characteristic values of each wire section. This path construction method does not rely on a pre-set fixed path, but is based on actual tension distribution characteristics, ensuring that the constructed static tension conduction path accurately reflects the tension requirements of different sections of the wire. Through this static path, the take-up mechanism can clearly understand the tension conduction law of different sections before performing the take-up operation, providing a clear path guide for subsequent trajectory control, enabling the operation of the take-up mechanism to better match the tension distribution characteristics of the wire.

[0045] The take-up execution control unit, based on the adjustable path of the take-up mechanism, combines the conduction node values in the static tension conduction path and the corresponding wire section information to precisely control the take-up trajectory. This control method can achieve dynamic matching of the take-up trajectory and the wire tension distribution, enabling the take-up mechanism to adjust the operating trajectory according to the tension requirements of different wire sections, effectively avoiding excessive or insufficient tension in local areas, reducing wire stretching deformation, surface damage, and other problems, and improving the stability of the take-up process and the quality of the formed wire.

[0046] The dynamic compensation unit collects the dynamic tension parameters of the current wire section in real time during the take-up process and compares them with the conduction node values in the static tension conduction path, and then compensates and corrects the tension exertion direction of the take-up mechanism. The setting of this unit enables the control system to respond to dynamic changes in the take-up process in real time. Whether it is equipment vibration, uneven raw material quality, or external resistance fluctuations, the tension changes caused by these factors can be captured and adjusted in time. Through continuous dynamic compensation and correction, the tension exertion of the take-up mechanism always matches the actual tension demand of the current wire section, ensuring the stability of the tension throughout the take-up process. Even in complex and variable production environments, the consistency of wire quality can be guaranteed, and the production interruptions caused by unstable tension are reduced, improving the overall production efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 Timing diagram of the take-up tension intelligent control system described in the present application;

[0048] Figure 2 Flowchart of the working principle of the dynamic feature modeling unit;

[0049] Figure 3 Flowchart of the working principle of the static path analysis unit;

[0050] Figure 4 Flowchart of the working principle of the direction correction sub-unit. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the present application.

[0052] Please refer to Figure 1 , the present application provides a take-up tension intelligent control system, which comprises:

[0053] The multi-source sensing acquisition unit obtains a wire distribution topology graph, and acquires tension based on the topology graph to obtain a reference tension parameter. Meanwhile, wire strain characteristics and motion speed characteristics are acquired according to each wire section in the wire distribution topology graph. The dynamic characteristic modeling unit multi-modal fusion of the reference tension parameter and the wire strain characteristics and the motion speed characteristics generates a multi-modal tension characteristic matrix. The static path analysis unit constructs a static tension conduction path based on the tension characteristic values in the matrix and the corresponding wire sections. The take-up execution control unit controls the take-up trajectory of the take-up mechanism on the adjustable path according to the conduction node values and the corresponding wire sections. The dynamic compensation unit acquires dynamic tension parameters during the take-up process, compares them with the static conduction node values, compensates and corrects the tension application direction, and ensures the accuracy of tension control.

[0054] Embodiment 1: see Figure 2 The multi-source sensing acquisition unit first acquires a wire distribution topology graph, which reflects the geometric distribution and density variation of the wire in space. The wire partitioning subunit analyzes the density gradient distribution in the topology graph and identifies high-density aggregation areas and low-density transition areas. For example, near the guide roller group of the winding system, the wire forms a local high-density area due to multiple windings, while the straight transmission section presents uniform density. The partitioning subunit sets a partition point along the direction of density gradient change, dividing the wire path into multiple continuous sections. The length of each section is dynamically adjusted according to the density variation rate, and the density mutation area adopts a more fine division strategy, while the density gentle area appropriately expands the section range. The partitioning result forms a logically continuous sequence of wire sections, each section having an independent spatial coordinate identifier.

[0055] The strain acquisition subunit receives the take-up traction direction parameter, which is defined by the rotation axis of the take-up roller. The acquisition process starts from the initial section where the traction direction starts. For this section, the distributed optical fiber sensor is arranged along the axis direction to measure the micro-strain change on the wire surface. The sensor captures the strain waveform at a fixed sampling frequency, and after filtering processing, extracts three core features: the strain peak value reflects the maximum deformation intensity, the strain fluctuation frequency represents the dynamic oscillation characteristics, and the strain gradient distribution describes the attenuation trend of deformation along the axial direction. After completing the acquisition of the initial section, the system automatically locates the adjacent next section along the traction direction, and repeats the above strain feature acquisition process until all partitions are covered.

[0056] The speed mapping subunit synchronously starts the motion speed collection. The wire motion vector is calculated from the encoder measured guide wheel speed, and the direction of the wire motion vector is tangent to the instantaneous motion trajectory of the wire. The initial section selection strategy for speed collection is different from that for strain collection. The system selects the wire section where the vector starts as the initial collection point according to the direction of the motion vector. In this section, the encoder measures the linear speed of the wire surface through the contact type roller, and calculates the average motion speed in combination with the section length. At the same time, the laser speedometer non-contact collects the instantaneous speed of multiple points in the section, generates a speed distribution curve, and extracts two key features: the speed standard deviation reflects the motion stability, and the speed slope change identifies the acceleration mutation point. After completing the initial section collection, the system continues to collect in the next section along the direction of the motion vector, forming a speed feature set that is isomorphic to the strain feature set.

[0057] The dynamic feature modeling unit receives the reference tension parameter, which is directly measured by the tension sensor at the reference take-up point. The feature fusion depth is dynamically set according to the reference tension value: when the reference tension is higher than the threshold value, the fusion depth is expanded to the adjacent three sections; when it is lower than the threshold value, only the current section is fused. For the first wire section (usually located at the take-up end), the modeling unit calls its strain feature and speed feature data sets. The gradient distribution data in the strain feature and the slope change data in the speed feature are first time-domain aligned to eliminate the collection time sequence difference. The aligned data is input into the multi-modal fusion module to generate a tension correlation factor through weighted cross calculation. The fusion process introduces the position coordinates as spatial weights, and the coordinates close to the reference point are given higher weights. Finally, the tension feature value of the first section is output, which contains the composite features of the static tension component and the dynamic oscillation component.

[0058] The system processes subsequent sections in a partition order. For the second section, in addition to calling the strain and speed features of the current section, the tension feature value of the previous section (the first section) is also extracted as a reference reference according to the feature fusion depth requirement. The fusion algorithm differentiates the feature data of the current section from the reference reference to eliminate the cumulative error in the transmission path. The differential result is normalized to generate an independent tension feature value of the current section. This process is executed in a loop, and the fusion calculation of each new section refers to the output result of the previous section, forming a chain feature transmission structure.

[0059] After all the sections are processed, the modeling unit maps the tension feature values of each section to a two-dimensional matrix according to the spatial coordinate relationship of the wire distribution topology. The row vectors of the matrix correspond to the order of the partition sequence, and the column vectors store the time sequence data of the feature values. During the spatial mapping process, the feature values of adjacent sections are smoothly transitioned through interpolation algorithms to ensure the continuity of the matrix in the spatial dimension. The finally generated multi-modal tension feature matrix contains the holographic features of the tension state of a specific section at a specific time, providing a data basis for static path construction.

[0060] In the wire production line application, the wire distribution topology shows that the wire forms a complex spatial path through 7 guide rollers. The partition subunit identifies the contact points of the guide rollers to form 8 high-density areas, which are divided into 12 continuous sections. The strain collection starts from the 1st section near the take-up roller, and the fiber sensor detects a strain gradient of 0.8 mm / m. The speed collection starts from the 12th section at the pay-off end, and the encoder measures a reference speed of 2.5 m / s. When the reference tension sensor measures 150 N, the modeling unit sets the fusion depth to 3 sections. When processing the 3rd section, in addition to the strain fluctuation frequency characteristics of 0.6 Hz in this section, the speed standard deviation data of 1.2% in the 2nd section is also fused, and finally the (3, t) element of the tension feature value matrix is generated. When the matrix is completed, it contains a tension state data set of 12x500 (500 is the number of sampling points), which fully describes the tension distribution evolution of the entire wire path.

[0061] Example 2: see Figure 3 The static path analysis unit receives the multi-modal tension feature matrix from the dynamic feature modeling unit, which contains the tension feature values of each wire section and their corresponding spatial coordinate information. The conduction node generation subunit first analyzes the matrix data structure, extracts the tension feature value sequence of each wire section, and associates its coordinate identifier. For example, in a cable winding system, the wire path is divided into 15 sections, and the coordinates of each section are represented in three-dimensional space. At the same time, the tension variation characteristics of this section during the take-up process are recorded.

[0062] The path topology construction subunit establishes the connection chain of conduction nodes based on the spatial relationship between the coordinates of the wire sections. The coordinates of adjacent sections are calculated by vector operation to calculate the spatial distance and relative angle, forming the physical connection relationship of the conduction path. Each conduction node contains reference pointers of the predecessor section and the successor section, forming a bidirectional linked list structure. The definition of the conduction path weight value is based on the gradient change of the tension feature value, which is specifically manifested as the tension difference rate between adjacent sections. For example, when the tension feature value difference between the 5th section and the 6th section exceeds the set threshold, the system automatically increases the weight value of the conduction path between these two sections, reflecting that there is higher energy loss in the transition of this section.

[0063] The static path optimization subunit iteratively calculates the conduction path weight values using a dynamic topology optimization algorithm. In the initialization stage of the algorithm, the weight values of all conduction paths are normalized to eliminate dimensional differences. In the first round of iterative calculation, the algorithm detects the conduction paths with sudden changes in weight values and identifies potential tension conduction bottleneck sections. In the cable winding example, the system finds that the conduction path weight from the 8th section to the 9th section is significantly higher than that of other sections, indicating that there is an abnormal tension gradient change in this area. The optimization algorithm starts a local search for this path by adjusting the tension eigenvalue distribution of the front and rear sections to recalculate the conduction path weight. After multiple iterations, the algorithm outputs the globally optimal conduction path combination, in which the weight values of each section tend to balance, and finally generates the static tension conduction path.

[0064] The take-up execution control unit obtains the conduction node values in the static tension conduction path and the corresponding wire section information. In the take-up machine control system, the adjustable path segment is defined as the movement trajectory interval of the take-up roller, and each interval corresponds to a wire section range. The system first establishes a mapping relationship table between the adjustable path segment and the wire section, for example: path segment A covers the 1st to 3rd sections, and path segment B covers the 4th to 6th sections. The take-up starting point is usually set at the first section of the pay-off end, and the system starts traversing the adjustable path segment from this point.

[0065] For each adjustable path segment, the system retrieves all adjacent wire sections covered by it and extracts the node values of these sections in the static conduction path. The node values include tension size and conduction direction, which are fused into a priority passing coefficient through a weighting coefficient. The setting of the weighting coefficient considers the material characteristics of the wire, for example, the weighting coefficient of copper core cable focuses on tension uniformity, while the weighting coefficient of fiber optic cable focuses on conduction direction stability. In the cable winding case, the priority passing coefficient calculation of path segment C (corresponding to the 7th to 9th sections) integrates the 7th section 12N, the 8th section 15N, and the 9th section 14N, as well as the conduction angle change rate between them.

[0066] The gradient optimization algorithm generates the take-up trajectory based on the priority passing coefficient. The algorithm constructs a three-dimensional search space, with the coordinate axes representing the take-up speed, roller pressure, and path offset. The initial search point is set as the running parameters of the current take-up mechanism, and the algorithm calculates the gradient change of the target function (priority passing coefficient) along the three-dimensional direction. Each iteration adjusts one dimension of the parameter, for example, first optimizing the take-up speed to increase the priority passing coefficient by 5%, and then fine-tuning the roller pressure to obtain an additional 2% coefficient growth. After about 20 iterations, the algorithm converges to the optimal parameter combination, and outputs the specific control instructions of the take-up mechanism.

[0067] In the actual application of the optical fiber production line, the static path analysis unit processes a multimodal tension feature matrix containing 24 sections. The conduction node generation sub-unit identifies that the coordinates of the 11th section have a high mutation, causing the conduction path weight of the section and the adjacent section to abnormally increase. The path topology construction sub-unit inserts three virtual conduction nodes in this area, smoothes the tension feature value distribution through an interpolation algorithm, and makes the weight value fall back to the normal range. The take-up execution control unit divides the stroke of the take-up roller into 8 adjustable path segments, and the priority passing coefficient calculation of path segment E (corresponding to the 15th to 18th sections) integrates the bending radius compensation factor. The final generated take-up trajectory reduces the tension fluctuation of the optical fiber when passing through the guide roller group, and the wound optical fiber reel presents a uniform interlayer structure.

[0068] Since superconducting materials are extremely sensitive to tension fluctuations, the static path analysis unit particularly emphasizes the accuracy of the conduction path weight calculation. The weight value calculation introduces a temperature compensation factor to reflect the change in tension conduction characteristics of superconducting materials in a low-temperature environment. The adjustable path segment division of the take-up execution control unit is refined to every 5 cm interval, ensuring accurate control of the tension distribution. The objective function of the gradient optimization algorithm adds a critical current density constraint condition to ensure that the superconducting performance is not damaged during the take-up process. The implemented take-up system can maintain the tension stability of superconducting tapes and meet the requirements of precision winding.

[0069] In the composite cable winding production line, the system faces the challenge of multiple layers of insulation material superimposed. The static path analysis unit sets differentiated conduction path weight calculation rules for different material layers. The conductor layer uses weight correction based on current density, and the insulation layer considers the influence of dielectric loss factor. The take-up execution control unit develops a multi-layer cooperative control strategy, calculates independent priority passing coefficients for different material layers in the same adjustable path segment, and generates comprehensive control instructions through coupling algorithm. This processing method effectively solves the interlayer stress balance problem during composite cable winding, and the wound cable maintains the integrity of each functional layer.

[0070] Example 3: see Figure 4The dynamic compensation unit monitors the deviation between the dynamic tension parameters and the static transmission node values ​​of the current wire section in real time through the deviation response subunit. On the optical fiber drawing production line, the position of the current wire section is fed back in real time by the encoder, and the system collects the dynamic tension data of that section every 50 milliseconds. The deviation response subunit compares the collected dynamic tension value with the corresponding transmission node value in the static tension transmission path to calculate the real-time deviation. This deviation includes not only the difference in tension amplitude but also phase shift information, reflecting the degree of deviation between the dynamic process and the static model. For example, during the winding process of carbon fiber composite materials, when the real-time monitored dynamic tension value of section 7 is 245N, while the static transmission node value is 230N, the system determines that there is a positive deviation of 15N.

[0071] The compensation decision subunit sets a tolerance threshold of 5% of the static transmission node value. When the real-time deviation exceeds this threshold, the system initiates the compensation mechanism. The compensation depth is determined based on the tension fluctuation characteristics of the current wire section, including fluctuation frequency, amplitude change rate, and historical deviation trend. In the continuous copper wire annealing production line, the system detected that the tension fluctuation frequency of the 12th section reached 8Hz, and the amplitude change rate exceeded 3% per second, indicating that deep compensation was required. The compensation decision subunit automatically expands the search range of adjacent wire sections according to the compensation depth parameter. For shallow compensation (deviation between 5% and 10%), only the transmission node value of one adjacent section is used; for deep compensation (deviation exceeding 10%), the set of transmission node values ​​of three adjacent sections is used.

[0072] After receiving the compensation decision result, the direction correction subunit generates a tension application direction compensation vector. The calculation of this vector comprehensively considers the deviation characteristics of the current segment and the distribution of conduction node values ​​in adjacent segments. In the aluminum alloy wire rolling system, when a tension deviation occurs in segment 5, the system calls upon the conduction node values ​​of segments 4, 5, and 6, and constructs a tension distribution field through a spatial interpolation algorithm. The direction of the compensation vector is determined by the deviation gradient, and its magnitude is proportional to the compensation depth. The mathematical representation of the compensation vector is:

[0073]

[0074] in: Represents the compensation vector. for The weighting coefficients of neighboring segments, Indicates the first The propagation node vectors of neighboring segments, This represents the dynamic tension vector of the current segment. The weighting coefficients are based on... The distance between segments is dynamically adjusted; the closer the segment is to the current segment, the greater its weight.

[0075] After the compensation vector is generated, the system converts it into the angle adjustment amount of the take-up roller, which takes into account the mechanical characteristics of the roller, including the maximum adjustable angle, response speed, and motion inertia. For example, in a super-thin copper foil winding system, the compensation vector indicates that a 3.5° directional correction is needed, which is decomposed into a 2.1° axial tilt and a 1.4° circumferential deflection of the roller. The calculation of the angle adjustment amount introduces a mechanical transmission ratio coefficient to ensure the motion accuracy of the actuator.

[0076] The generation of the roller posture control signal uses incremental encoding, with a 16-bit precision control word output every control cycle (10 milliseconds), containing the angle change amount and change rate parameters. In a multi-layer polymer film production line, the system updates the roller posture control signal in real time, synchronously adjusting the motion parameters of the three degrees of freedom. The control signal is transmitted to the servo driver through the CAN bus, driving the motor to perform precise angle adjustment. After each adjustment is completed, the system automatically checks the consistency of the actual angle with the target value, and triggers the fine adjustment mechanism when the error exceeds 0.1°.

[0077] The dynamic compensation process has typical applications in special steel wire rope production. When the system detects a sudden change in dynamic tension in section 9, the deviation response sub-unit completes the deviation calculation within 2 milliseconds. The compensation decision sub-unit analyzes the tension fluctuation pattern of the last 10 cycles in this section to determine the use of moderate compensation depth. The direction correction sub-unit calls the conduction node values of sections 8, 9, and 10 to generate a compensation vector pointing to section 8. The roller tilt adjustment mechanism completes a 1.8° angle correction within 15 milliseconds, restoring the tension distribution to a balanced state. The entire compensation process takes no more than 30 milliseconds from deviation detection to completion, meeting the real-time requirements of high-speed production.

[0078] In a composite wire co-extrusion production line, the system needs to handle the coordinated compensation of multiple materials. When the carbon fiber core wire and the polymer sheath are out of sync in tension, the dynamic compensation unit starts the layered compensation strategy. The carbon fiber layer uses an elastic modulus-based compensation algorithm, while the polymer layer uses a viscoelastic response model. The compensation vectors of the two materials are combined in space to generate a six-degree-of-freedom adjustment instruction for the composite roller. This layered processing method effectively solves the tension matching problem of heterogeneous materials in the co-extrusion process.

[0079] The take-up system of high-temperature superconducting tape has special requirements for dynamic compensation. Due to the change in the mechanical properties of superconducting materials at low temperatures, the compensation decision sub-unit integrates a temperature-tension coupling model. When the liquid nitrogen cooling system causes local temperature fluctuations, the model automatically adjusts the reference benchmark for the conduction node values. The compensation vector generated by the direction correction sub-unit includes a temperature compensation component, ensuring accurate control of the tension distribution in a 77K low-temperature environment. The roller posture control uses low-temperature adaptive materials to avoid the influence of cold brittleness on adjustment accuracy.

[0080] For large-diameter submarine cable take-up applications, the dynamic compensation unit develops a long-distance conductive compensation algorithm. When the wire length exceeds 500 meters, the system divides the conductive path into multiple compensation intervals. Each interval operates independently with a compensation mechanism while maintaining coordination between intervals through boundary conditions. The calculation of the compensation vector introduces the drag coefficient of the submarine cable in water, reflecting the influence of the fluid environment on the tension conduction. The roller adjustment mechanism uses a hydraulic servo system to provide sufficient torque to handle the inertia load of large-diameter cables.

[0081] In the production of micro-fine electronic wires, the dynamic compensation unit handles tension control with μm-level precision. The system uses a nanometer-resolution fiber-optic sensor to monitor wire strain, and the compensation decision-making precision reaches the 0.1N level. The compensation vector generated by the direction correction sub-unit is implemented through a piezoelectric ceramic actuator to achieve micro-radian-level roller adjustment. The entire control system operates in a clean environment to avoid dust particles interfering with ultra-fine wires. This precise compensation mechanism ensures the product consistency of high-end electronic wires.

[0082] The production of multi-material composite braided wires requires handling more complex tension compensation scenarios. The dynamic compensation unit establishes a material property database to store the mechanical parameters of each component material. When a tension deviation is detected, the system automatically matches the material combination of the current braiding pattern and calls the corresponding compensation algorithm. The compensation vector generated by the direction correction sub-unit is implemented through a multi-axis linkage mechanism to accurately control the tension balance of each braiding spindle. This adaptive compensation strategy significantly improves the structural uniformity of composite braided wires.

[0083] Example 4: The real-time feedback unit continuously collects wire vibration frequency spectra during the take-up process through a distributed vibration sensor network. On a copper wire finishing production line, the sensors capture wire surface vibration waveforms at a 10kHz sampling frequency, generating a set of frequency spectrum data every collection period (100 milliseconds). The system uses fast Fourier transform to convert time-domain vibration signals to frequency-domain features, extracting three key indicators: main resonance frequency, harmonic energy distribution, and frequency band width. These indicators combine to form real-time spectral characteristic values that represent the current wire vibration state. For example, during the take-up process of a 0.5mm diameter copper wire, the typical spectral characteristic values show that the main resonance peak is at 850Hz, the second harmonic energy proportion is 18%, and the frequency band width is controlled within ±75Hz.

[0084] The path updating unit monitors the deviation trend of real-time spectral feature values and static tension conduction path node values. The system establishes a dynamic evaluation window and continuously analyzes the feature changes in the last 20 sampling periods. Evaluation parameters include absolute deviation, change slope, and duration. In the optical fiber coloring production line, when the main resonance frequency deviation is detected for more than 50 Hz for 5 cycles, and the change slope is greater than 10 Hz / cycle, the system determines that the conduction path needs to be updated. The trigger condition setting adopts a hierarchical strategy, and the sensitivity is dynamically adjusted according to the production stage: a loose threshold is used in the acceleration stage (deviation for 10 cycles), and a strict threshold is used in the steady state stage (deviation for 5 cycles).

[0085] Changes in key parameters during a path updating process. Data from an aluminum foil composite film production line, recording the entire process of reconstructing the conduction path after detecting persistent deviation, see Table 1.

[0086] Table 1: Key parameter record table for path updating process

[0087] Time stamp Main frequency deviation (Hz) Harmonic deviation (%) Trigger level Reconstruction time consumption (ms) New path node number 10:15:23.120 +62 +9.2 2nd level 48 14 10:15:23.240 +58 +11.5 1st level 52 15 10:15:23.360 +67 +13.8 1st level 45 16 10:15:23.480 +71 +15.3 1st level 50 17

[0088] When the update condition is met, the system re-triggers the dynamic feature modeling unit. This unit receives the latest vibration spectrum data and the current wire distribution topology graph, and starts the update process of the multi-modal tension feature matrix. In the ultra-thin stainless steel strip production line, the update process first adjusts the feature fusion depth, expanding the original 3 sections to 5 sections to enhance the ability to capture vibration propagation paths. When reconstructing the matrix, a vibration attenuation factor is introduced to adjust the tension feature weight of each section according to the spectral energy distribution. For example, if strong vibration is detected in section 7, the feature value weight of its adjacent sections (sections 6 and 8) is increased by 30%.

[0089] The static path analysis unit receives the updated multi-modal tension feature matrix and starts the path reconstruction algorithm. The reconstruction process uses an incremental optimization strategy, preserving unaffected nodes in the original conduction path and only recalculating the topology structure of the deviation area. In the multi-layer insulated cable production case, the system detects persistent spectral deviation in sections 9-12, and the reconstruction algorithm first freezes the path structure of sections 1-8, then builds a local optimization model for the problem sections. In the optimization process, the material creep characteristics are considered, and different conduction loss coefficients are set for the polymer insulation layer. The final generated new conduction path adds 3 auxiliary nodes in the problem section, improving the uniformity of tension distribution.

[0090] The system exhibits unique adaptability in special fiber weaving applications. When periodic vibrations caused by the detection of weaving machine commutation are detected, the real-time feedback unit automatically switches to a high-frequency sampling mode (20 kHz). The spectral analysis focuses on the commutation characteristic frequency band (1.5-3 kHz), accurately capturing the transient vibration waveform. The path update unit uses a predictive algorithm to pre-generate a backup conduction path 200 milliseconds before each commutation. This forward-looking process keeps the tension stable during mechanical commutation, avoiding the delay of traditional post-compensation methods.

[0091] In the annealing take-up system of high-temperature alloy wire, the change of environmental temperature leads to the drift of material stiffness parameters. The real-time feedback unit integrates temperature sensor data and performs real-time temperature compensation on spectral characteristic values. When the furnace temperature rises to 850°C, the system automatically tunes the vibration analysis algorithm parameters to compensate for the thermal decay effect of the material's elastic modulus. The path update unit introduces a temperature-tension coupling model to ensure that the newly generated conduction path meets the requirements of high-temperature working conditions. The calculation of conduction node values includes a thermal expansion compensation term, reflecting the influence of temperature gradient on tension distribution.

[0092] Large-span cable take-up systems face the challenge of long-distance vibration conduction. The real-time feedback unit uses a segmented spectral analysis method to divide the 50-meter long wire into 8 monitoring sections. Each section independently runs vibration analysis, and the system integrates the data from each section to establish a global vibration mode. The path update unit develops a distributed reconstruction algorithm, and after parallel optimization of each segment's conduction path, it is spliced through boundary conditions. This method effectively solves the interference problem caused by vibration wave reflection in long-distance wire, significantly reducing the amplitude of take-up tension fluctuations.

[0093] The production of micro-fine electronic wire requires higher vibration control. The system uses a laser Doppler vibrometer instead of a contact sensor to achieve nanometer-level vibration resolution. Real-time spectral analysis tracks low-frequency micro-vibrations below 200 Hz, which are often ignored in conventional systems. The path update unit sets up a multi-level cache architecture to ensure that the conduction path is fine-tuned within 1 millisecond. The updated conduction path includes sub-millimeter-level node positioning, meeting the process standards of high-end electronic wire.

[0094] In the production line of composite wire co-extrusion, the system needs to distinguish the vibration characteristics of different materials. The real-time feedback unit runs a material identification algorithm to determine the material composition of the current monitoring point through vibration waveform characteristics. The path update unit establishes a multi-material conduction model and configures independent path optimization parameters for each material. When out-of-phase vibrations between the carbon fiber layer and the polymer layer are detected, the system generates a layered conduction path update scheme to optimize the tension distribution of the two materials separately. This fine-tuned process significantly improves the interface bonding quality of composite wire.

[0095] The system performs outstandingly in the winding of non-circular cross-section wires. For flat and profiled wires, the array of vibration sensors adopts a three-dimensional arrangement mode to capture the anisotropic vibration characteristics. The real-time spectral feature values contain the cross-section direction vibration ratio parameters, reflecting the influence of wire posture changes. The path update unit introduces the cross-section shape factor, considering the additional tension fluctuations caused by geometric characteristics when reconstructing the conduction path. The adjustment instructions of the take-up roller contain a rotation component, actively compensating for the periodic disturbances caused by asymmetric cross-sections.

[0096] In Example 5, a multi-source sensing acquisition unit uses a distributed optical fiber sensor network to obtain wire strain characteristics. In a copper alloy wire production line, optical fiber sensors are arranged in a spiral winding manner on the surface of the wire, and the spacing between sensing nodes is dynamically adjusted according to the diameter of the wire. For a wire with a diameter of 1.2 mm, the node density is set to 3 measurement points per centimeter. The sensor emits modulated light signals of a specific wavelength, and by analyzing the phase shift of the backscattered light, the distribution of micro-strain on the surface of the wire is calculated. The strain feature extraction process includes three dimensions: axial strain reflects the stretching state, circumferential strain monitors the torsion effect, and composite strain gradient identifies the bending stress concentration area. In the case of a nickel-based alloy wire production, the system successfully captures a local strain anomaly of 0.05% at the contact point of the guide roller.

[0097] The collection of motion speed characteristics is achieved through high-precision photoelectric encoders. The encoder is installed on the guide roller bearing seat and uses a non-contact measurement principle. In a polyimide film production line, the encoder captures the marker points on the surface of the guide roller at a rate of 5000 frames per second, and calculates the wire speed through image processing algorithms. The speed characteristics include instantaneous speed, acceleration change rate, and motion trajectory curvature. The system has a special speed anomaly detection mechanism that automatically triggers the data verification process when the speed of adjacent sampling points jumps by more than 5%. For silicon rubber wires with greater elasticity, an additional speed smoothing algorithm is added to eliminate measurement noise caused by material deformation.

[0098] The dynamic compensation unit and the real-time feedback unit form a closed-loop control system, and the spectral feature values output by the real-time feedback unit are used as the core input parameters for dynamic compensation. In a carbon fiber prepreg tape winding system, the closed-loop control runs at a fixed cycle: vibration spectrum is collected every 50 milliseconds, and converted into a feature value set containing the main frequency, harmonic energy, and bandwidth; the feature value set is compared with the preset threshold, and if it exceeds the threshold, the compensation process is activated. The trigger condition setting uses an adaptive mechanism that automatically adjusts the sensitivity according to the production line speed. When the take-up speed increases to 30 meters / minute, the system tightens the harmonic energy deviation threshold from 15% to 8%.

[0099] The data flow of closed-loop control forms a bidirectional coupling. After the dynamic compensation unit performs tension direction correction, the real-time feedback unit immediately monitors the correction effect. In the titanium alloy wire cold-drawing production line, the system records the trend of the frequency spectrum characteristics after each compensation. If the characteristic value does not return to the normal range within three compensation periods, the compensation decision level is automatically upgraded. At the same time, the roll posture adjustment data during the compensation process is fed back to the real-time feedback unit for optimizing the spectral analysis algorithm parameters. This bidirectional data exchange enables the system to have continuous learning ability and gradually adapt to the dynamic characteristics of different materials.

[0100] The performance of the special alloy wire production display system under extreme working conditions. When processing shape memory alloy, the distributed optical fiber sensor uses a high-temperature probe that can withstand an environmental temperature of 450°C. The encoder is equipped with an anti-oxidation coating to prevent measurement accuracy degradation in high-temperature environments. The real-time feedback unit sets a special monitoring frequency band for the phase transition temperature point to capture the characteristic frequency mutation caused by material phase transition. The dynamic compensation unit integrates a phase transition prediction model and starts the compensation mechanism in advance when detecting characteristic frequency precursors. The closed-loop control cycle is shortened to 20 milliseconds to ensure tension stability at the phase transition critical point.

[0101] The superconducting tape take-up system demonstrates precise control capability. The distributed optical fiber sensor uses a superconducting special model that maintains a strain measurement accuracy of 0.001% in a liquid nitrogen low-temperature environment. The encoder system adds an anti-condensation device to prevent mechanical jamming caused by low temperatures. The real-time feedback unit analyzes the 15-25 kHz high-frequency vibration spectrum, which is sensitive to micro-defects in the superconducting layer. The dynamic compensation unit develops a nanoscale compensation algorithm, and the roll posture adjustment resolution reaches 0.001 degrees. The closed-loop system operates continuously at 77K temperature, with a compensation trigger response time controlled within 5 milliseconds, meeting the stringent requirements of superconducting materials for tension fluctuations.

[0102] In the composite wire co-extrusion production line, the system realizes synchronous monitoring of multiple materials. The distributed optical fiber sensor uses a multi-core structure to independently collect strain data from the core wire and sheath layer. The encoder system is equipped with a dual-read head to measure the movement speed of different materials. The real-time feedback unit runs a material identification algorithm to automatically distinguish the material layer where the monitoring point is located based on the vibration spectrum characteristics. The dynamic compensation unit establishes a layered compensation model to generate independent compensation vectors for the core wire and sheath layer. The closed-loop control uses a parallel processing architecture to maintain tension balance for both materials. In carbon fiber-PTFE composite wire production, the system successfully solves the tension mismatch problem caused by the shrinkage rate difference between the core wire and the sheath layer.

[0103] The system demonstrates the extension capability in large cross-section submarine cable take-up application. The distributed fiber optic sensor adopts kilometer-level distributed measurement technology, and a single fiber covers 500 meters of wire length. The encoder system is installed at multiple guide roller nodes to calculate the overall motion speed through data fusion. The real-time feedback unit implements segmented spectrum analysis to divide the long cable into 8 logical segments for independent monitoring. The dynamic compensation unit develops a collaborative compensation strategy, and the compensation actions of each segment are coordinated through boundary conditions. The closed-loop control adopts a master-slave architecture, with the central controller coordinating 32 local compensation units to ensure the uniformity of the tension distribution of the kilometer-level wire.

[0104] Microelectronic bonding wire production requires ultra-high precision control. The distributed fiber optic sensor uses ultraviolet writing technology to create a micro Bragg grating array on a 25 μm gold wire. The encoder system is equipped with a 100 nanometer resolution optical ruler to accurately capture the motion characteristics of the fine wire. The real-time feedback unit focuses on 0-200 Hz low-frequency micro-vibration analysis, using wavelet transform to extract sub-micron vibration features. The dynamic compensation unit is integrated with a precision motion platform, and a piezoelectric ceramic actuator is used to achieve nanometer-level roller adjustment. The closed-loop system operates in a clean environment, completing a control cycle every millisecond to maintain sub-Newton-level stability of the bonding wire tension.

[0105] The system designs a special sensing scheme for rectangular copper bars: the distributed fiber optic sensor is symmetrically arranged along the four edges, and the encoder uses a multi-axis measurement mode to capture complex motion trajectories. The real-time feedback unit analyzes the cross-section torsional vibration characteristics and establishes a three-dimensional vibration model. The dynamic compensation unit generates a spatial compensation vector to correct the wire posture through a six-degree-of-freedom adjustment mechanism. In the production case of flat electromagnetic wire, the system effectively suppresses the warping deformation of special cross-sections with a width-to-thickness ratio of 5:1 during winding.

[0106] Multi-material composite braided wire production requires handling dynamic changes in material combinations. The distributed fiber optic sensor uses fast reconfiguration technology to automatically switch monitoring modes according to the braiding pattern. The encoder system synchronously tracks the motion trajectories of 16 braiding spindles. The real-time feedback unit runs a pattern recognition algorithm to determine the material composition of the current monitoring point in real time. The dynamic compensation unit calls the material database to match the optimal compensation parameters for each material combination. The closed-loop system processes 32 channels of sensing data every millisecond to generate a tension balancing scheme for coordinating 16 spindles, ensuring the structural consistency of the composite braided wire.

[0107] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting; it is not intended to exclude myriad other embodiments of the present application that other inventors can develop based on the same general inventive concepts embodied by the described embodiments. That is, although the present application is described in terms of particular embodiments and illustrative figures, it should be apparent that the scope of the present application is not limited to these specific embodiments.

[0108] While the embodiments of the application have been shown and described herein, it will be understood by those skilled in the art that many changes, modifications, substitutions and alterations to these embodiments can be made without departing from the principles and spirits of the application, and it is intended that the scope of the application be limited solely by the scope of the appended claims and the equivalents thereof.

Claims

1. A wire take-up tension intelligent control system, characterized in that, include: The multi-source sensing acquisition unit acquires a wire distribution topology map through a tension sensing platform, and acquires tension at the take-up reference point based on the wire distribution topology map to obtain reference tension parameters. The multi-source sensing acquisition unit performs feature acquisition based on each wire segment in the wire distribution topology map to obtain the wire strain characteristics and motion velocity characteristics corresponding to each wire segment. The dynamic feature modeling unit performs multimodal fusion of the wire strain characteristics and motion velocity characteristics corresponding to each wire segment based on the reference tension parameters, and generates a multimodal tension feature matrix. The static path analysis unit constructs a static tension transmission path based on each tension feature value in the multimodal tension feature matrix and the corresponding wire segments. The take-up execution control unit acquires the adjustable path of the take-up mechanism and controls the take-up trajectory of the take-up mechanism on the adjustable path based on the transmission node values ​​in the static tension transmission path and the corresponding wire segments. The dynamic compensation unit collects the dynamic tension parameters of the current wire section during the take-up process, and compensates and corrects the tension application direction of the take-up mechanism based on the dynamic tension parameters of the current wire section and the transmission node values ​​in the static tension transmission path.

2. The intelligent control system for take-up tension as described in claim 1, characterized in that, The multi-source sensing acquisition unit includes: The wire sectioning subunit obtains the wire distribution topology map and performs segmentation based on the density gradient in the wire distribution topology map to obtain multiple wire sections; The strain acquisition subunit acquires the wire traction direction, selects an initial section based on the wire traction direction to acquire wire strain characteristics, selects the next wire section based on the wire traction direction to acquire wire strain characteristics, and so on, until the wire strain characteristics of each wire section are acquired. The velocity mapping subunit acquires the wire motion vector, reselects an initial segment based on the wire motion vector for motion velocity feature acquisition, selects the next wire segment based on the wire motion vector for motion velocity feature acquisition, and so on, until the motion velocity feature acquisition of each wire segment is completed.

3. The intelligent control system for take-up tension as described in claim 1, characterized in that, The dynamic feature modeling unit performs: The feature fusion depth is determined based on the aforementioned reference tension parameters; Obtain the strain characteristics and velocity characteristics of the first wire section, select a comparison section based on the position coordinates of the first wire section and the feature fusion depth, perform multimodal fusion, and generate the tension characteristic value corresponding to the first wire section. After sequentially acquiring the strain characteristics and velocity characteristics of other wire sections, the multimodal fusion operation is repeatedly performed to generate the tension characteristic values ​​of each wire section, and matrix mapping is performed according to the wire distribution topology map to generate the multimodal tension characteristic matrix.

4. The intelligent control system for take-up tension as described in claim 1, characterized in that, The static path analysis unit includes: The transmission node generates a sub-unit, and extracts each tension feature value and the corresponding wire segment coordinates from the multimodal tension feature matrix; The path topology construction sub-unit establishes a transmission node connection chain based on the spatial relationship between the coordinates of wire segments, and defines the transmission path weight value according to the gradient change of the tension characteristic value. The static path optimization subunit uses a dynamic topology optimization algorithm to iteratively calculate the transmission path weight values ​​and generate the path with the minimum transmission loss as the static tension transmission path.

5. The intelligent control system for take-up tension as described in claim 1, characterized in that, The take-up control unit executes the following: Obtain the values ​​of the transmission nodes in the static tension transmission path and their corresponding wire segments; Extract all adjustable path segments of the take-up mechanism and the adjacent wire sections corresponding to each path segment; The starting point for take-up is determined, and the transmission node values ​​of all adjacent wire sections corresponding to the adjustable path segment are weighted and accumulated as the priority passage coefficient of the adjustable path segment. The take-up trajectory of the take-up mechanism starting from the starting point is generated by the gradient optimization algorithm.

6. The intelligent control system for take-up tension as described in claim 1, characterized in that, The dynamic compensation unit includes: The deviation response subunit obtains the real-time deviation between the dynamic tension parameters of the current wire section and the corresponding transmission node values ​​in the static tension transmission path; The compensation decision subunit determines the compensation depth based on the tension fluctuation characteristics of the current wire section when the real-time deviation exceeds the tolerance threshold, and obtains the transmission node value of the adjacent wire section based on the compensation depth. The direction correction subunit generates a tension application direction compensation vector by combining the transmission node values ​​of adjacent wire sections, and adjusts the tension application direction of the take-up mechanism.

7. The intelligent control system for take-up tension as described in claim 6, characterized in that, The orientation correction subunit performs: The tilt adjustment of the take-up roller is calculated based on the compensation vector of the tension application direction; The roller attitude control signal is generated based on the tilt angle adjustment, and the tension application direction of the take-up mechanism is updated synchronously.

8. The intelligent control system for take-up tension as described in claim 1, characterized in that, Also includes: The real-time feedback unit continuously collects the vibration spectrum of the wire during the winding process and converts the vibration spectrum of the wire into real-time spectral feature values. When the deviation between the real-time spectral feature value and the transmission node value of the static tension transmission path continues to increase, the path update unit re-triggers the dynamic feature modeling unit to update the multimodal tension feature matrix and drives the static path analysis unit to reconstruct the static tension transmission path.

9. The intelligent control system for take-up tension as described in claim 1, characterized in that, The multi-source sensing acquisition unit acquires the strain characteristics of the wire through distributed optical fiber sensors and the motion speed characteristics through an encoder.

10. The intelligent control system for take-up tension as described in claim 1, characterized in that, The dynamic compensation unit and the real-time feedback unit form a closed-loop control, and the real-time spectrum characteristic value output by the real-time feedback unit serves as the compensation and correction trigger condition for the dynamic compensation unit.

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