Method, system and equipment for optimizing quality of insulating layer in high-density winding of multi-core cable

Abstract

The invention discloses an insulating layer quality optimization method, system and equipment in high-density winding of a multi-core cable, and relates to the technical field of cables, and the method comprises the steps: obtaining the production demands of the multi-core cable, and determining a multi-core arrangement guide factor; carrying out winding structure design on the plurality of insulated core wires, and determining a multi-core winding structure layout; a control decision is made for the multi-core synchronous winding device, and a synchronous winding control first space is obtained; performing insulation layer quality loss inspection on the synchronous winding control first space to obtain a synchronous winding control second space; and performing multi-level joint optimization on the synchronous winding control second space to obtain a synchronous winding control strategy, and controlling the multi-core synchronous winding device to perform self-adaptive winding on the plurality of insulated core wires. The technical problems that in the high-density winding process of a multi-core cable in the prior art, an insulating layer is prone to damage, and winding control lacks an adaptive adjusting mechanism are solved, and the technical effects of improving the winding quality of the insulating layer and achieving adaptive control over the winding process are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of cables, and particularly to a method, system and equipment for optimizing the quality of the insulating layer in the high-density winding of multi-core cables. Background Art

[0002] With the development of fields such as electronic communication, power transmission and industrial automation, higher requirements are put forward for the transmission density and space utilization rate of multi-core cables. The high-density winding technology of multi-core cables has gradually become a key process means in cable manufacturing. However, in the process of winding multi-core cables, it usually relies on fixed winding methods or manual experience adjustment, lacking a fine model of the complex relationship between the winding structure and the quality of the core wires, resulting in the insulating layer being easily squeezed, rubbed or even misaligned and damaged under high-density winding, affecting the insulation performance and overall stability of the cable. Summary of the Invention

[0003] This application provides a method, system and equipment for optimizing the quality of the insulating layer in the high-density winding of multi-core cables, which are used to solve the technical problems that the insulating layer is easily damaged and the winding control lacks an adaptive adjustment mechanism in the process of high-density winding of multi-core cables in the prior art.

[0004] In view of the above problems, this application provides a method, system and equipment for optimizing the quality of the insulating layer in the high-density winding of multi-core cables.

[0005] In the first aspect of this application, a method for optimizing the quality of the insulating layer in the high-density winding of multi-core cables is provided. The method includes: Obtain the production requirements of multi-core cables corresponding to multiple insulated core wires, perform fitness analysis on multiple winding attribute factors in combination with the core wire detection data set, and determine the multi-core arrangement guiding factor; based on the core wire detection data set, design the winding structure of the multiple insulated core wires according to the multi-core arrangement guiding factor, and determine the multi-core winding structure layout; make a control decision on the multi-core synchronous winding device according to the multi-core winding structure layout and the core wire detection data set, and obtain the first space of synchronous winding control; perform an insulating layer quality loss inspection on the first space of synchronous winding control according to the insulating layer quality loss threshold, and obtain the second space of synchronous winding control; perform multi-level joint optimization on the second space of synchronous winding control according to the winding control evaluation model, and obtain the synchronous winding control strategy; control the multi-core synchronous winding device to perform adaptive winding on the multiple insulated core wires according to the synchronous winding control strategy.

[0006] In the second aspect of this application, a system for optimizing the quality of the insulating layer in the high-density winding of multi-core cables is provided. The system includes: A fitness analysis module, which is used to obtain the production requirements of multi-core cables corresponding to multiple insulated core wires, perform fitness analysis on multi-factor winding attribute factors in combination with the core wire detection data set, and determine the multi-core arrangement guiding factor; a winding structure design module, which is used to design the winding structure of the multiple insulated core wires based on the core wire detection data set according to the multi-core arrangement guiding factor, and determine the multi-core winding structure layout; a control decision-making module, which is used to make a control decision on the multi-core synchronous winding device according to the multi-core winding structure layout and the core wire detection data set, and obtain the first synchronous winding control space; a loss inspection module, which is used to perform an insulation layer quality loss inspection on the first synchronous winding control space according to the insulation layer quality loss threshold, and obtain the second synchronous winding control space; a joint optimization module, which is used to perform multi-level joint optimization on the second synchronous winding control space according to the winding control evaluation model, and obtain the synchronous winding control strategy; an adaptive winding module, which is used to control the multi-core synchronous winding device to perform adaptive winding on the multiple insulated core wires according to the synchronous winding control strategy.

[0007] In a third aspect of the present application, an electronic device is provided, including: a memory for storing executable instructions; a processor for implementing the insulation layer quality optimization method in the high-density winding of multi-core cables provided by the present application when executing the executable instructions stored in the memory.

[0008] One or more technical solutions provided in the present application have at least the following technical effects or advantages: The present application obtains the production requirements of multi-core cables corresponding to multiple insulated core wires, performs fitness analysis on multi-factor winding attribute factors in combination with the core wire detection data set, and determines the multi-core arrangement guiding factor; designs the winding structure of the multiple insulated core wires based on the core wire detection data set according to the multi-core arrangement guiding factor, and determines the multi-core winding structure layout; makes a control decision on the multi-core synchronous winding device according to the multi-core winding structure layout and the core wire detection data set, and obtains the first synchronous winding control space; performs an insulation layer quality loss inspection on the first synchronous winding control space according to the insulation layer quality loss threshold, and obtains the second synchronous winding control space; performs multi-level joint optimization on the second synchronous winding control space according to the winding control evaluation model, and obtains the synchronous winding control strategy; controls the multi-core synchronous winding device to perform adaptive winding on the multiple insulated core wires according to the synchronous winding control strategy. The present invention solves the technical problems that the insulation layer is easily damaged during the high-density winding of multi-core cables in the prior art, and the winding control lacks an adaptive adjustment mechanism. By constructing a fitness analysis mechanism for multi-factor winding attribute factors, a hierarchical control strategy for the synchronous winding space, and a multi-level joint optimization model, the technical effect of improving the winding quality of the insulation layer and realizing the adaptive control of the winding process is achieved. Description of the Drawings

[0009] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0010] Figure 1 Schematic flow diagram of the method for optimizing the quality of the insulating layer in the high-density winding of multi-core cables provided by the embodiments of the present application; Figure 2 Schematic structural diagram of the system for optimizing the quality of the insulating layer in the high-density winding of multi-core cables provided by the embodiments of the present application; Figure 3 Schematic structural diagram of an exemplary electronic device of the present application.

[0011] Explanation of reference numerals: bus 300, receiver 301, processor 302, transmitter 303, memory 304, bus interface 305, fitness analysis module 11, winding structure design module 12, control decision module 13, loss inspection module 14, joint optimization module 15, adaptive winding module 16. Detailed implementation manners

[0012] The present application provides a method, system and device for optimizing the quality of the insulating layer in the high-density winding of multi-core cables. Aiming at solving the technical problems in the prior art that the insulating layer is easily damaged during the high-density winding of multi-core cables and the winding control lacks an adaptive adjustment mechanism, by constructing a fitness analysis mechanism for multi-element winding attribute factors, a hierarchical control strategy for the synchronous winding space and a multi-level joint optimization model, the technical effect of improving the winding quality of the insulating layer and realizing the adaptive control of the winding process is achieved.

[0013] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0014] It should be noted that any variations of the terms "including" and "having" are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0015] Embodiment 1, as Figure 1As shown in the figure, the present application provides a method for optimizing the quality of the insulating layer in the high-density winding of multi-core cables. The method includes: Step S100: Obtain the production requirements of multi-core cables corresponding to multiple insulated core wires, perform fitness analysis on the multi-factor winding attribute factors in combination with the core wire detection data set, and determine the multi-core arrangement guiding factor.

[0016] In the embodiment of the present application, first, by parsing the current cable order task and combining the enterprise internal manufacturing execution system (MES) or product process database, the production requirements of multi-core cables corresponding to multiple insulated core wires are extracted. The production requirements include process constraint parameters such as the number of cores, cable diameter, winding density, minimum bending radius, and usage environment (such as high temperature, high frequency, vibration) of the target cable.

[0017] Subsequently, fitness analysis is performed on the multi-factor winding attribute factors in combination with the core wire detection data set. Among them, the core wire detection data set is a core wire detection data set collected by a core wire detection device for quality detection of multiple insulated core wires, including characteristic information such as the geometric dimension accuracy (such as diameter, roundness) and material properties (such as flexibility, tensile strength) of each core wire.

[0018] On the basis of obtaining the production requirements of multi-core cables and the core wire detection data set, multiple winding methods are introduced as candidate winding attribute factors, including concentric spiral winding, hierarchical structure winding, non-uniform pitch winding, and programmable pitch winding. Each winding method is compared and analyzed with the production requirements and core wire detection data to form a winding attribute fitness evaluation table, and the most suitable winding method under the current production conditions is selected from it, and finally the multi-core arrangement guiding factor is determined.

[0019] Further, in the method provided by the application embodiment, obtaining the production requirements of multi-core cables corresponding to multiple insulated core wires, performing fitness analysis on the multi-factor winding attribute factors in combination with the core wire detection data set, and determining the multi-core arrangement guiding factor further includes: The multi-factor winding attribute factors include concentric spiral winding, hierarchical structure winding, non-uniform pitch winding, and programmable pitch winding; fitness evaluation is performed on the multi-factor winding attribute factors according to the production requirements of the multi-core cable and the core wire detection data set to construct a winding attribute fitness evaluation table; the multi-factor winding attribute factors are screened for maximizing the winding attribute fitness according to the winding attribute fitness evaluation table to obtain the multi-core arrangement guiding factor.

[0020] In the embodiment of the present application, the multi-factor winding attribute factors include concentric spiral winding (that is, all core wires are arranged in a spiral symmetry around the center), hierarchical structure winding (that is, the core wires are wound separately by layer), non-uniform pitch winding (used in special pitch requirement scenarios such as signal transmission), and programmable pitch winding (dynamically adjusting the pitch and rotation speed according to the core wire characteristics through step control or servo motor).

[0021] When evaluating the fitness of multi - winding attribute factors according to the production requirements of multi - core cables and the core wire detection data set, the method of attribute comparison is adopted. First, a static adaptability comparison is made between each winding method and the production requirements. For example, concentric spiral is suitable for high - voltage cables with high symmetry requirements, and the layered structure is suitable for combinations of multiple types of core wires. Then, a dynamic process adaptation analysis is carried out between each winding method and the core wire detection data. For example, when the flexibility difference is large, the layered structure can better reduce stress concentration. To achieve quantitative evaluation, the above - mentioned matching process is further transformed into two scoring matrices. One is to score the matching degree of winding attribute factors according to the production requirements of multi - core cables to form the first matrix of winding attribute matching evaluation. The other is to score the process adaptability of winding factors based on the core wire detection data to form the second matrix of winding attribute matching evaluation. Subsequently, according to the preset fitness weight conditions, the two matrices are weighted and fused for calculation to generate the final winding attribute fitness evaluation table.

[0022] Finally, based on the winding attribute fitness evaluation table, using the fitness maximization screening strategy, the fitness scores corresponding to all winding attribute factors in the evaluation table are sorted, and the winding method with the highest fitness score is preferentially selected as the result. Through this process, the optimal multi - core arrangement guiding factor under the current manufacturing conditions is obtained.

[0023] Furthermore, in the method provided by the application embodiment, when evaluating the fitness of the multi - winding attribute factors according to the production requirements of the multi - core cable and the core wire detection data set and constructing the winding attribute fitness evaluation table, it further includes: Evaluating the matching degree of the multi - winding attribute factors according to the production requirements of the multi - core cable to obtain the first matrix of winding attribute matching evaluation; evaluating the matching degree of the multi - winding attribute factors according to the core wire detection data set to obtain the second matrix of winding attribute matching evaluation; performing weighted calculation on the first matrix of winding attribute matching evaluation and the second matrix of winding attribute matching evaluation according to the winding attribute fitness weight conditions to generate the winding attribute fitness evaluation table.

[0024] In the embodiments of the present application, first, when evaluating the matching degree of the winding structure of a multi-core cable, structural requirement parameters are extracted from the cable production task. These parameters include the target cable diameter, the cable shape structure, the allowable number of cable layers, the symmetry level, and the winding tightness, etc., which are usually stored in the MES (Manufacturing Execution System) or the process database in the form of structured process specifications. At the same time, each preset winding method is also standardized and described as a set of structural attribute vectors. For example, the concentric spiral winding can be set as "circumferential symmetry = 5", "winding level = 1", "pitch change rate = 0", etc. After one-to-one correspondence between such structural vectors and the production demand target vectors, the Euclidean distance formula is used for distance measurement. The smaller the distance, the more the winding method matches this requirement. After performing this operation on all matching dimensions, the first set of scoring data is generated and organized into the first matrix of winding attribute matching evaluation according to the winding method. Each row of this matrix corresponds to a winding method, and each column corresponds to the matching score on a structural dimension, and the score range is normalized to the interval [0, 1].

[0025] Next, quality data of each core wire currently used for winding is obtained from the core wire detection subsystem. This data is obtained by on-line detection devices (such as laser diameter gauges, image recognition devices, insulation layer thickness probes) and summarized to form a detection data set including indicators such as the maximum diameter difference of the core wire, the flexibility level, the surface defect rate, and the insulation layer fluctuation coefficient. Each indicator has a preset adaptability standard with the winding method. For example, the stratified structure winding allows a larger diameter difference, while the concentric spiral winding has higher requirements for flexibility. By comparing these detected values with the tolerance intervals predefined for the winding method, the processing feasibility of this method under the current core wire conditions is judged. The comparison method is the threshold function method. If a certain parameter falls within the allowable interval, the score is 1; within the critical boundary, the score is 0.5; and if it exceeds, the score is 0. Finally, the adaptability scores of all winding methods under each core wire process parameter are summarized to form the second matrix of winding attribute matching evaluation, whose structure is the same as that of the first matrix, and the scores are also normalized.

[0026] Subsequently, based on the preset winding attribute fitness weight conditions, the above two sets of evaluation matrices are weighted and fused. The weights are generally set as 0.6 for the production demand matching dimension weight and 0.4 for the core wire quality adaptability dimension weight. By reading the scores at the corresponding positions in the two matrices item by item and using the linear weighting formula for fusion, that is, the fitness score = 0.6×the score of the first matrix + 0.4×the score of the second matrix. After completing this calculation for all winding methods, the winding attribute fitness evaluation table can be obtained. Each row of this evaluation table corresponds to a winding method, and its column vector represents the comprehensive adaptability strength under the structural requirements and core wire conditions.

[0027] Step S200: Based on the core wire detection dataset, design the winding structure for the multiple insulated core wires according to the multi-core arrangement guiding factor, and determine the layout of the multi-core winding structure.

[0028] In the embodiment of the present application, based on the core wire detection dataset, a winding structure is designed for multiple insulated core wires to finally determine the layout of the multi-core winding structure. First, key parameters of each core wire are extracted from the core wire detection dataset, including the diameter of the core wire, the flexibility level, the thickness of the insulation layer, and the surface defect identifier. The data screening method is used to eliminate records with outliers or missing items, and all parameters are normalized to ensure that all data has a unified comparison scale to support subsequent arrangement determination and pitch calculation.

[0029] Subsequently, determine the design method of the arrangement structure according to the selected multi-core arrangement guiding factor, and use the structure mapping method to transform the arrangement guiding factor into an arrangement framework on the cross-section of the cable core. For example, when the guiding factor is "layered structure winding", the core wires are arranged in multiple concentric circular belt areas in the cross-section according to the process preset, and specific parameters such as the number of core wires in each layer, the layer spacing, and the angular offset are set for each layer; if the guiding factor is "concentric spiral winding", the cross-section is divided into circumferential positions by an equal pitch spiral path. Each position point is defined with a unique number, a radius position, and a target layer, forming the basic framework of the core wire spatial arrangement.

[0030] Then, arrange the core wires one by one through the sequential matching method. Specifically, taking the flexibility level as the core sorting criterion, the core wire with the highest flexibility level is preferentially allocated to the area with a smaller inner diameter of the cross-section and the lowest stress concentration (such as the inner layer or around the central axis), while the core wires with lower flexibility or slight defects are allocated to the outer layer area or low stress area to avoid damage to the insulation layer due to insufficient curvature radius. The allocation of each core wire is based on the position number of the structure template and is matched one by one with the core wire characteristics until all core wires are reasonably arranged into the layout structure.

[0031] After completing the core wire position allocation, combine the radial position of the core wire in the cross-section and the winding path length, and execute the pitch planning method to calculate the corresponding pitch for each core wire. The pitch calculation process considers three aspects. One is the radial position of the core wire in the cross-section, that is, the distance between the core wire and the central axis of the cable core. The greater the distance, the longer the arc that the winding path needs to cover per unit length. The second is the winding path length, which depends on the wire length required for the core wire to wind around the cable core for one circle and is related to its radius and the pitch angle of the cable core. The third is the cable core tightness and forming stability requirements in the process requirements. The tightness requirement determines that the winding pitch needs to avoid being too sparse or too dense to ensure that the overall structure of the cable is full and there is no looseness; the forming stability requires balanced winding tension and prevents structural skew.

[0032] In the calculation process, the pitch is set using a linear function or a piecewise constant function model. Based on the radius r of the core wire and the helix angle θ, the formula pitch p=2πr / tan(θ) is used for preliminary estimation, and then the tan(θ) value is adjusted in combination with the target density to adapt to the cable diameter control and wire density distribution required by the process. All pitch data are organized into a table of core wire numbers and pitch values, with the winding direction information (clockwise or counterclockwise) and the starting point of the path for each core wire.

[0033] Finally, the entire winding structure is verified by the spatial conflict detection method, and the minimum spacing between any two core wires during the winding process is calculated one by one to determine whether there is a spatial overlap that is less than the set process safety distance (such as 1.5mm). If a conflict is found, the pitch or position adjustment link is returned to perform fine-tuning until all core wires are routed without crossing or interference, meeting the requirements of arrangement independence and equipment processing tolerance.

[0034] Through the above steps, on the basis of fully considering the core wire performance, arrangement guidance factors and actual process characteristics of the winding path, the multi-core winding structure layout is determined, and the spatial position, winding pitch, winding direction and tension area of ​​each core wire are output.

[0035] Step S300: making a control decision on a multi-core synchronous winding device according to the multi-core winding structure layout and the core wire detection data set to obtain a first synchronous winding control space.

[0036] In the embodiment of the present application, the path trajectory calculation method is first used to calculate the spatial winding path of the core wire in combination with the starting angle, winding radius, winding pitch and winding direction information of each core wire in the multi-core winding structure layout. The path calculation is based on the radial position of the core wire in the cable core cross section, and it is unfolded along the cable core axial direction. By calculating the angle change and axial displacement during the winding process section by section, a complete path coordinate point sequence is formed.

[0037] Then, based on the tension segment mapping method, the flexibility level of each core wire in the core wire detection data set and the insulation thickness fluctuation value are used as input to set the corresponding winding tension. By looking up the preset tension setting table, the flexibility level is mapped to the basic tension value, and the value is corrected and compensated according to the degree of insulation thickness fluctuation. If the fluctuation exceeds the process setting threshold, the tension level is reduced to reduce the local stress during the winding process. The tension value finally generated is the target output parameter of the tension control device.

[0038] Next, the rhythm parameter matching method is adopted to determine the feeding speed and movement time of each core wire during the synchronous winding process. Based on the pitch information and path length provided by the winding structure layout, the physical travel distance required for each turn of the core wire winding is calculated, and combined with the preset rotational speed of the cable core main shaft, the feeding rate required for the core wire per unit time is obtained. The rhythm parameters of all core wires are synchronized uniformly through time alignment to ensure that they maintain the same time rhythm during the winding cycle, avoiding structural misalignment or unstable tension.

[0039] After the above parameters are generated, through the control instruction assembly method, the path parameters, tension parameters, and rhythm parameters of each core wire are combined into independent control decision units. These decision units include guiding servo execution instructions, tension output instructions, and winding feeding speed settings. After binding the core wire numbers, they form a structured control file, which is used as the direct input of the execution logic at the device end.

[0040] Finally, based on the control space construction method, the control decision units of all core wires are uniformly encapsulated into a multi-core winding control set to form the first synchronous winding control space. This control space consists of multiple winding control decisions, and each decision covers three dimensions: path control, tension control, and rhythm control. They are both independent of each other and coordinated and synchronized at the execution level to ensure that the multi-core synchronous winding device can achieve precise collaborative operations.

[0041] Step S400: Inspect the first synchronous winding control space for insulation layer mass loss according to the insulation layer mass loss threshold to obtain the second synchronous winding control space.

[0042] In the embodiment of the present application, when inspecting the first synchronous winding control space for insulation layer mass loss according to the insulation layer mass loss threshold, first, based on the core wire detection data set, insulation layer mass loss prediction is performed on each control decision in the first synchronous winding control space to form an insulation layer mass loss prediction sequence, that is, the loss risk coefficient corresponding to each control decision. Subsequently, this sequence is compared to determine whether each insulation layer mass loss prediction coefficient is less than the insulation layer mass loss threshold preset by technical experts, and a loss inspection result sequence is generated accordingly. Finally, according to this result sequence, the control decisions in the first synchronous winding control space are optimized and eliminated, and the control strategies within the acceptable range of insulation performance are selected to form a new control set, that is, the second synchronous winding control space.

[0043] Furthermore, in the method provided by the application embodiment, when inspecting the first synchronous winding control space for insulation layer mass loss according to the insulation layer mass loss threshold to obtain the second synchronous winding control space, it further includes: Predict the insulation layer mass loss for the first space of the synchronous winding control based on the core wire detection data set to obtain an insulation layer mass loss prediction sequence; determine whether each insulation layer mass loss prediction coefficient in the insulation layer mass loss prediction sequence is less than the insulation layer mass loss threshold to obtain a loss inspection result sequence; based on the loss inspection result sequence, optimize and screen the first space of the synchronous winding control to obtain the second space of the synchronous winding control.

[0044] In an embodiment of the present application, when predicting the insulation layer mass loss for the first space of the synchronous winding control based on the core wire detection data set, each synchronous winding control decision in the first space of the synchronous winding control is used as the first retrieval constraint, and the flexibility, insulation layer thickness fluctuation, defect marking and other attributes of the corresponding core wire in the core wire detection data set are used as the second retrieval constraint to establish a winding device cluster in the multi-core synchronous winding devices of the same model that are already networked. Through joint retrieval, winding quality samples under similar control parameters and core wire states are screened out from the historical operation data of this winding device cluster to form a first insulation layer mass loss retrieval set. Then, the representative insulation damage risk value is extracted from this sample set using the central value calculation method as the insulation layer mass loss prediction coefficient under this control decision. All control decisions repeat this process, and the insulation layer mass loss prediction sequence is generated and summarized in sequence.

[0045] Next, use the threshold determination method to determine whether each insulation layer mass loss prediction coefficient in the insulation layer mass loss prediction sequence is less than the insulation layer mass loss threshold by comparing each insulation layer mass loss prediction coefficient in the prediction sequence with the preset insulation layer mass loss threshold item by item. If a certain prediction coefficient is less than the threshold, it means that this control strategy will not cause significant insulation damage and is marked as "qualified"; otherwise, it is marked as "unqualified". Through this item-by-item comparison, a loss inspection result sequence is output, and this sequence corresponds to the judgment result of whether each synchronous winding control decision meets the insulation protection requirements.

[0046] Finally, perform an optimization and screening operation based on the loss inspection result sequence to screen and reorganize the control decisions in the first space of the synchronous winding control. Using "whether it meets the threshold condition" as the screening logic, extract all control decisions with prediction coefficients less than the insulation layer mass loss threshold, and form a new control set with these qualified control strategies, which is the second space of the synchronous winding control.

[0047] Furthermore, in the method provided by the application embodiment, predicting the insulation layer mass loss for the first space of the synchronous winding control based on the core wire detection data set to obtain an insulation layer mass loss prediction sequence further includes: Taking any synchronous winding control decision in the first space of the synchronous winding control as the first retrieval constraint, and taking the core wire detection data set as the second retrieval constraint; interconnecting the multi-core synchronous winding devices of the same model to determine a winding device cluster; retrieving the insulation layer mass loss samples from the winding device cluster according to the first retrieval constraint and the second retrieval constraint to obtain a first insulation layer mass loss retrieval set; calculating the central value of the first insulation layer mass loss retrieval set to obtain a first insulation layer mass loss prediction coefficient, and adding the first insulation layer mass loss prediction coefficient to the insulation layer mass loss prediction sequence.

[0048] In the embodiment of the present application, first, a feature parameter extraction method is adopted. Taking any synchronous winding control decision in the first space of the synchronous winding control as the input, core control parameters such as the winding pitch, tension setting value, and path curvature in this decision are extracted to form a structured control feature set as the first retrieval constraint. At the same time, a physical property extraction method is used to extract information such as the core wire flexibility level, insulation layer thickness fluctuation range, and defect identification corresponding to this control decision from the core wire detection data set, and after normalization, it is used as the second retrieval constraint to characterize the physical properties of the core wire and its stress response ability.

[0049] Then, the device logic aggregation method is executed to cluster all multi-core synchronous winding devices according to conditions such as model and process consistency to form a winding device cluster combination with consistent data sources.

[0050] On this basis, through the historical data joint retrieval method, using the aforementioned first and second retrieval constraints, the historical operation records in the winding device cluster are jointly queried to obtain winding execution data that meets the dual conditions, and the insulation layer mass loss samples therein are extracted, that is, the insulation layer mass loss coefficients collected in the historical records, such as the insulation compression ratio, crack occurrence probability, etc., to form a structured first insulation layer mass loss retrieval set.

[0051] Subsequently, the unweighted median statistical method is applied to this retrieval set to sort the loss coefficients in the samples and extract the median as the representative risk index of the current control decision to obtain the first insulation layer mass loss prediction coefficient. Finally, this prediction coefficient is added to the insulation layer mass loss prediction sequence.

[0052] The above process is repeatedly executed for each control decision in the first space of the synchronous winding control, that is, for each decision, feature parameter extraction, core wire attribute extraction, device cluster matching, historical sample retrieval, and median statistics are performed in sequence, and finally, the insulation layer mass loss prediction sequence is completely generated.

[0053] Step S500: Perform multi-level joint optimization on the second space of the synchronous winding control according to the winding control evaluation model to obtain a synchronous winding control strategy.

[0054] In the embodiment of the present application, when performing multi-level joint optimization on the second space of synchronous winding control according to the winding control evaluation model, first set the winding control evaluation expectation to clarify basic requirements such as winding efficiency constraints and cable structure stability constraints; then based on the pre-trained winding control evaluation model, preliminarily screen the control decisions in the second space of synchronous winding control according to the above expectations to construct a third space of synchronous winding control that meets the hard constraint conditions. Next, for key performance indicators such as winding efficiency, cable structure stability, and insulation layer mass loss, set weight ratios and establish a winding control fitness function for comprehensive evaluation. Finally, with the goal of maximizing the fitness, globally evaluate and screen the control strategies in the third space to generate the optimal synchronous winding control strategy as the winding parameter configuration plan finally executed by the device.

[0055] Further, in the method provided by the application embodiment, when performing multi-level joint optimization on the second space of the synchronous winding control according to the winding control evaluation model to obtain a synchronous winding control strategy, it further includes: Set the winding control evaluation expectation, where the winding control evaluation expectation includes winding efficiency constraints and cable structure stability constraints; based on the winding control evaluation model, perform optimization screening on the second space of the synchronous winding control according to the winding control evaluation expectation to construct a third space of synchronous winding control; perform weight allocation on the winding control joint optimization indicators to construct a winding control fitness function, where the winding control joint optimization indicators include winding efficiency, cable structure stability, and insulation layer mass loss; perform optimization to maximize the winding control fitness on the third space of the synchronous winding control according to the winding control fitness function to generate the synchronous winding control strategy.

[0056] In the embodiment of the present application, first set the winding control evaluation expectation, where the winding control evaluation expectation includes winding efficiency constraints and cable structure stability constraints. The winding efficiency constraint is used to limit the minimum winding length required to be completed within a unit time to meet the basic production beat requirements; the cable structure stability constraint is used to limit key indicators such as path deviation rate and tension volatility to ensure the uniformity and stability of the formed structure.

[0057] Based on the set evaluation expectations for winding control, the winding control evaluation model is called to screen each control strategy in the second space of synchronous winding control item by item. Each k-th decision of synchronous winding control is sequentially extracted and, together with its corresponding core wire detection data set, is used as input and passed into the winding control evaluation model for analysis. The model outputs the evaluation result of this control strategy, including the k-th winding efficiency coefficient and the k-th cable structure stability coefficient. According to the comparison and judgment of these two indicators with the evaluation expectations, if the efficiency and structural stability of this strategy both meet the minimum standards, it is added to the third space of synchronous winding control; otherwise, it is eliminated. By executing this screening process item by item for all strategies, a third control subspace containing only qualified control strategies is finally constructed.

[0058] Next, weight allocation is performed on the combined optimization indicators for winding control to construct a winding control goodness function. The combined optimization indicators for winding control include three aspects: winding efficiency, cable structure stability, and insulation layer mass loss. Then, technical experts set the weight coefficients according to the process priority to construct a performance weighting mechanism. Exemplarily, the weight of winding efficiency is 0.4, the weight of cable structure stability is 0.35, and the weight of insulation layer mass loss is 0.25. Then, based on the above weight setting and normalization processing method, a winding control goodness function is constructed to comprehensively evaluate the score of each control strategy. The constructed winding control goodness function is , where, is the winding efficiency corresponding to the k-th decision of synchronous winding control, is the cable structure stability corresponding to the k-th decision of synchronous winding control, is the insulation layer mass loss coefficient corresponding to the k-th decision of synchronous winding control, is the maximum value of winding efficiency in the third space of synchronous winding control, the maximum value of cable structure stability in the third space of synchronous winding control, is the maximum value of the insulation layer mass loss coefficient in the third space of synchronous winding control. , and respectively represent the weights of winding efficiency, cable structure stability, and insulation layer mass loss, is the winding control goodness corresponding to the k-th decision of synchronous winding control.

[0059] Finally, the winding control goodness function is used to calculate each control strategy in the third space of synchronous winding control one by one, and according to the score ranking, the screening for maximizing goodness is performed. The strategy with the highest score is finally selected as the synchronous winding control strategy to be used as the final device execution instruction.

[0060] Further, in the method provided by the application embodiment, based on the winding control evaluation model, the second synchronous winding control space is optimized and screened according to the winding control evaluation expectation, and a third synchronous winding control space is constructed, which further includes: According to the second synchronous winding control space, the k-th decision of synchronous winding control is extracted, where k is a positive integer; the k-th decision of synchronous winding control and the core wire detection data set are input into the winding control evaluation model to obtain the k-th winding control evaluation result, and the k-th winding control evaluation result includes the k-th winding efficiency coefficient and the k-th cable structure stability coefficient; it is judged whether the k-th winding control evaluation result meets the winding control evaluation expectation; if the k-th winding control evaluation result meets the winding control evaluation expectation, the k-th decision of synchronous winding control is added to the third synchronous winding control space.

[0061] In the embodiment of the present application, first, the k-th decision of synchronous winding control is randomly extracted from the second synchronous winding control space, where k is a positive integer. Then, the k-th decision of synchronous winding control and the core wire detection data set are input into the pre-trained winding control evaluation model to obtain the k-th winding control evaluation result. The k-th winding control evaluation result includes the k-th winding efficiency coefficient and the k-th cable structure stability coefficient . The winding control evaluation model is pre-trained based on historical winding process data, and its training data comes from the winding task database that has been executed in the industrial field, with clear structured input and performance output annotations. In the training stage, the input data of the winding control evaluation model includes the key control parameters involved in the control strategy, such as winding pitch, path curvature, tension setting value, guiding speed, etc., and at the same time combines the physical performance characteristics of the corresponding core wire in the core wire detection data, such as flexibility level, insulation thickness fluctuation range, and defect marking information. These inputs together form a complete set of policy feature vectors as a joint description of the winding behavior and material state. The corresponding output data is the performance index measured and recorded after the actual winding task is completed, including the winding efficiency value and the cable structure stability index. Through supervised learning training by integrating the input and output data, the winding control evaluation model is obtained.

[0062] After obtaining the evaluation result of the k-th control strategy, a logical judgment is made with the set winding control evaluation expectation. The winding control evaluation expectation is the process bottom line parameter set before optimization, including the minimum allowable value of winding efficiency and the minimum tolerance value of structure stability, which is the basic requirement for the control strategy in terms of executability and safety. Respectively with the efficiency lower limit, Compare and judge with the lower limit of stability. If the k-th control strategy meets or exceeds the set thresholds in both indicators, it indicates that it has the ability to reach production capacity and maintain stable forming quality during actual operation, and this strategy is added to the third space of synchronous winding control. If any indicator fails to meet the expectation, this strategy is directly eliminated and does not enter the next round of optimization stage.

[0063] Through the above processing flow, the construction of the third space of synchronous winding control is completed.

[0064] Step S600: Control the multi-core synchronous winding device to adaptively wind the multiple insulated core wires according to the synchronous winding control strategy.

[0065] In the embodiment of the present application, when controlling the multi-core synchronous winding device to adaptively wind the multiple insulated core wires according to the synchronous winding control strategy, the execution states during the winding process are synchronously collected to form a core wire winding state monitoring set and a winding device state monitoring set. Abnormal detection is respectively performed on these two monitoring sets to identify possible core wire winding abnormalities and device operation abnormalities, and the core wire winding abnormality detection result and the winding device abnormality detection result are output. On this basis, the current executed winding control strategy is feedback-regulated in combination with the detection results to achieve dynamic correction and stable control of the winding process.

[0066] Furthermore, in the method provided by the embodiment of the application, controlling the multi-core synchronous winding device to adaptively wind the multiple insulated core wires according to the synchronous winding control strategy further includes: Controlling the multi-core synchronous winding device to wind the multiple insulated core wires according to the synchronous winding control strategy to obtain a core wire winding state monitoring set and a winding device state monitoring set; respectively performing abnormal detection on the core wire winding state monitoring set and the winding device state monitoring set to determine the core wire winding abnormality detection result and the winding device abnormality detection result; and feedback-regulating the synchronous winding control strategy according to the core wire winding abnormality detection result and the winding device abnormality detection result.

[0067] In the embodiment of the present application, first, the real-time data acquisition method is used to obtain two types of monitoring data from the execution site while executing the control strategy. Specifically, according to the synchronous winding control strategy, control the multi-core synchronous winding device to wind, and collect the state information during the operation through the displacement sensor, tension sensor on the winding guide wheel and the execution motor encoder inside the device. The data directly related to the core wire operation (such as the core wire path, tension curve, arrangement position) is recorded as the core wire winding state monitoring set, and the operation parameters of the device body (such as current change, driving load, speed fluctuation) are recorded as the winding device state monitoring set.

[0068] Next, the fixed threshold judgment method is adopted to perform anomaly detection processing on the above two monitoring sets respectively. For the monitoring set of the core wire winding state, standard indicators such as the tension deviation threshold and the path offset threshold are set by technical experts. For example, if the tension deviation exceeds ±15%, or the path deviates from the target line by more than 2 mm, it is regarded as an anomaly; for the monitoring set of the winding device state, it is judged whether the motor current exceeds the normal range, or whether there is abnormal jitter in a certain section of the running speed. In this way, the core wire winding anomaly detection result and the winding device anomaly detection result are output respectively, indicating whether the current execution state meets the policy expectation in the form of logical identifiers (such as normal / anomalous) or numerical identifiers (such as deviation rate).

[0069] Finally, the parameter fine-tuning and correction method is used to perform feedback adjustment on the synchronous winding control strategy to deal with the abnormal items identified in the above-mentioned detection. For the core wire winding anomaly, the tension setting value is automatically adjusted according to the tension deviation direction. For example, the tension output is reduced to relieve the stress of the insulating layer; if the path deviation is found, the path guiding angle is finely adjusted to achieve straightening and repair. For the winding device anomaly, the running speed is reduced, the driving curve is adjusted, or the local resynchronization mechanism is triggered to ensure that the overall equipment operates within the controllable range. Such adjustments are completed through the real-time update of the internal parameters of the control strategy, realizing the feedback adjustment of the synchronous winding control strategy.

[0070] In the embodiment of the present application, in summary, the embodiment of the present application has at least the following technical effects: This application meets the production requirements of multi-core cables corresponding to multiple insulated core wires, combines the core wire detection data set to perform fitness analysis on multi-factor winding attributes, and determines the multi-core arrangement guiding factor; based on the core wire detection data set, according to the multi-core arrangement guiding factor, the winding structure of the multiple insulated core wires is designed to determine the multi-core winding structure layout; according to the multi-core winding structure layout and the core wire detection data set, control decisions are made on the multi-core synchronous winding device to obtain the first space of synchronous winding control; the first space of synchronous winding control is inspected for insulation layer mass loss according to the insulation layer mass loss threshold to obtain the second space of synchronous winding control; according to the winding control evaluation model, multi-level joint optimization is performed on the second space of synchronous winding control to obtain the synchronous winding control strategy; according to the synchronous winding control strategy, the multi-core synchronous winding device is controlled to perform adaptive winding on the multiple insulated core wires. The present invention solves the technical problems in the prior art that the insulating layer is easily damaged during the high-density winding process of multi-core cables and the winding control lacks an adaptive adjustment mechanism. By constructing a fitness analysis mechanism for multi-factor winding attributes, a hierarchical control strategy for the synchronous winding space, and a multi-level joint optimization model, the technical effect of improving the winding quality of the insulating layer and realizing the adaptive control of the winding process is achieved.

[0071] Embodiment 2. Based on the same inventive concept as the method for optimizing the quality of the insulating layer in the high-density winding of multi-core cables in the foregoing embodiment, as Figure 2 shown, the present application provides a system for optimizing the quality of the insulating layer in the high-density winding of multi-core cables. The system in the embodiment of the present application and the method embodiment are based on the same inventive concept. Among them, the system includes: A fitness analysis module 11, configured to obtain the production requirements of multi-core cables corresponding to multiple insulating core wires, perform fitness analysis on the multi-factor winding attribute factors in combination with the core wire detection data set, and determine the multi-core arrangement guiding factor; a winding structure design module 12, configured to design the winding structure of the multiple insulating core wires based on the core wire detection data set according to the multi-core arrangement guiding factor, and determine the multi-core winding structure layout; a control decision module 13, configured to make a control decision on the multi-core synchronous winding device according to the multi-core winding structure layout and the core wire detection data set, and obtain the first space of synchronous winding control; a loss inspection module 14, configured to perform an insulating layer quality loss inspection on the first space of synchronous winding control according to the insulating layer quality loss threshold, and obtain the second space of synchronous winding control; a joint optimization module 15, configured to perform multi-level joint optimization on the second space of synchronous winding control according to the winding control evaluation model, and obtain the synchronous winding control strategy; an adaptive winding module 16, configured to control the multi-core synchronous winding device to perform adaptive winding on the multiple insulating core wires according to the synchronous winding control strategy.

[0072] Further, the system is also used to implement the following functions: The multi-factor winding attribute factors include concentric spiral winding, layered structure winding, non-uniform pitch winding, and programmable pitch winding; perform fitness evaluation on the multi-factor winding attribute factors according to the production requirements of the multi-core cable and the core wire detection data set, and construct a winding attribute fitness evaluation table; perform a maximum screening of the winding attribute fitness of the multi-factor winding attribute factors according to the winding attribute fitness evaluation table to obtain the multi-core arrangement guiding factor.

[0073] Further, the system is also used to implement the following functions: Perform a matching degree evaluation on the multi-factor winding attribute factors according to the production requirements of the multi-core cable to obtain a first matrix of winding attribute matching evaluation; perform a matching degree evaluation on the multi-factor winding attribute factors according to the core wire detection data set to obtain a second matrix of winding attribute matching evaluation; perform a weighted calculation on the first matrix of winding attribute matching evaluation and the second matrix of winding attribute matching evaluation according to the winding attribute fitness weight condition to generate the winding attribute fitness evaluation table.

[0074] Further, the system is also used to implement the following functions: Predict the insulation layer mass loss for the first space of the synchronous winding control based on the core wire detection data set to obtain an insulation layer mass loss prediction sequence; determine whether each insulation layer mass loss prediction coefficient in the insulation layer mass loss prediction sequence is less than the insulation layer mass loss threshold to obtain a loss inspection result sequence; optimize and screen the first space of the synchronous winding control according to the loss inspection result sequence to obtain the second space of the synchronous winding control.

[0075] Further, the system is also used to implement the following functions: Take any synchronous winding control decision in the first space of the synchronous winding control as the first retrieval constraint, and take the core wire detection data set as the second retrieval constraint; interconnect the multi-core synchronous winding devices of the same model to determine a winding device cluster; retrieve the insulation layer mass loss samples for the winding device cluster according to the first retrieval constraint and the second retrieval constraint to obtain a first insulation layer mass loss retrieval set; calculate the central value of the first insulation layer mass loss retrieval set to obtain a first insulation layer mass loss prediction coefficient, and add the first insulation layer mass loss prediction coefficient to the insulation layer mass loss prediction sequence.

[0076] Further, the system is also used to implement the following functions: Set the winding control evaluation expectation, where the winding control evaluation expectation includes a winding efficiency constraint and a cable structure stability constraint; optimize and screen the second space of the synchronous winding control according to the winding control evaluation expectation based on the winding control evaluation model to construct a third space of the synchronous winding control; assign weights to the winding control joint optimization indicators to construct a winding control goodness function, and the winding control joint optimization indicators include winding efficiency, cable structure stability, and insulation layer mass loss; perform optimization to maximize the winding control goodness for the third space of the synchronous winding control according to the winding control goodness function to generate the synchronous winding control strategy.

[0077] Further, the system is also used to implement the following functions: Extract the k-th decision of the synchronous winding control according to the second space of the synchronous winding control, where k is a positive integer; input the k-th decision of the synchronous winding control and the core wire detection data set into the winding control evaluation model to obtain the k-th winding control evaluation result, and the k-th winding control evaluation result includes the k-th winding efficiency coefficient and the k-th cable structure stability coefficient; determine whether the k-th winding control evaluation result meets the winding control evaluation expectation; if the k-th winding control evaluation result meets the winding control evaluation expectation, add the k-th decision of the synchronous winding control to the third space of the synchronous winding control.

[0078] Further, the system is also used to implement the following functions: Controlling the multi-core synchronous winding device to wind the multi-insulated core wires according to the synchronous winding control strategy to obtain a core wire winding state monitoring set and a winding device state monitoring set; respectively performing anomaly detection on the core wire winding state monitoring set and the winding device state monitoring set to determine a core wire winding anomaly detection result and a winding device anomaly detection result; and performing feedback adjustment on the synchronous winding control strategy according to the core wire winding anomaly detection result and the winding device anomaly detection result.

[0079] Embodiment 3. Based on the inventive concept of the method for optimizing the quality of the insulating layer in the high-density winding of a multi-core cable in the foregoing embodiment, the present application also provides an electronic device, including: at least one processor; a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the steps of any one of the methods in the foregoing Embodiment 1.

[0080] Figure 3 It is a schematic structural diagram of an exemplary electronic device of the present application. In Figure 3 , the bus architecture is represented by bus 300. Bus 300 may include any number of interconnected buses and bridges. Bus 300 connects various circuits including one or more processors represented by processor 302 and a memory represented by memory 304 together. Bus 300 may also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art, and thus will not be further described herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 may be used to store data used by processor 302 when performing operations.

[0081] It should be noted that the above sequence of the embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above describes specific embodiments of this specification. The processes depicted in the drawings do not necessarily require the specific order and continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0082] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0083] This specification and the drawings are merely illustrative of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is intended to include these changes and modifications.

Claims

1. A method for optimizing the quality of the insulation layer in high-density winding of multi-core cables, characterized in that: include: Obtain the multi-core cable production requirements corresponding to multiple insulated core wires, perform fitness analysis on the multi-element winding attribute factors based on the core wire detection data set, and determine the multi-core arrangement guiding factors; Based on the core wire detection data set, performing winding structure design on the plurality of insulating core wires according to the multi-core arrangement guiding factor, and determining a multi-core winding structure layout; Make a control decision on the multi-core synchronous winding device according to the multi-core winding structure layout and the core wire detection data set to obtain a first synchronous winding control space; Performing an insulation layer quality loss inspection on the first synchronous winding control space according to an insulation layer quality loss threshold to obtain a second synchronous winding control space; Perform multi-level joint optimization on the synchronous winding control second space according to the winding control evaluation model to obtain a synchronous winding control strategy; The multi-core synchronous winding device is controlled according to the synchronous winding control strategy to adaptively wind the multiple insulated core wires.

2. The method for optimizing the quality of the insulation layer in high-density winding of a multi-core cable according to claim 1, characterized in that: Obtain the multi-core cable production requirements corresponding to multiple insulated cores, perform fitness analysis on the multi-element winding attribute factors based on the core detection data set, and determine the multi-core arrangement guidance factors, including: The multivariate winding attribute factors include concentric spiral winding, layered structure winding, non-equidistant pitch winding and programmable pitch winding; Perform fitness evaluation on the multi-element winding attribute factors according to the multi-core cable production requirements and the core wire detection data set, and construct a winding attribute fitness evaluation table; The multi-element winding attribute factor is screened for winding attribute fitness maximization according to the winding attribute fitness evaluation table to obtain the multi-core arrangement guiding factor.

3. The method for optimizing the quality of the insulation layer in high-density winding of a multi-core cable according to claim 2, characterized in that: The fitness of the multi-element winding attribute factor is evaluated according to the multi-core cable production requirements and the core wire detection data set, and a winding attribute fitness evaluation table is constructed, including: According to the multi-core cable production requirements, the multi-element winding property factors are evaluated for matching, so as to obtain a first winding property matching evaluation matrix; Performing matching evaluation on the multivariate winding attribute factors according to the core wire detection data set to obtain a second winding attribute matching evaluation matrix; According to the winding attribute fitness weight condition, the winding attribute matching evaluation first matrix and the winding attribute matching evaluation second matrix are weighted calculated to generate the winding attribute fitness evaluation table.

4. The method for optimizing the quality of the insulation layer in high-density winding of a multi-core cable according to claim 1, characterized in that: Performing an insulation layer quality loss inspection on the first synchronous winding control space according to the insulation layer quality loss threshold to obtain a second synchronous winding control space includes: Based on the core wire detection data set, the insulation layer quality loss prediction is performed on the first space of the synchronous winding control to obtain an insulation layer quality loss prediction sequence; Determine whether each insulation layer quality loss prediction coefficient in the insulation layer quality loss prediction sequence is less than the insulation layer quality loss threshold, and obtain a loss inspection result sequence; According to the loss inspection result sequence, the first synchronous winding control space is optimally selected to obtain the second synchronous winding control space.

5. The method for optimizing the quality of the insulation layer in high-density winding of a multi-core cable according to claim 4, characterized in that: Predicting the insulation layer quality loss of the synchronous winding control first space based on the core wire detection data set to obtain an insulation layer quality loss prediction sequence includes: Taking any synchronous winding control decision in the first synchronous winding control space as a first search constraint and taking the core wire detection data set as a second search constraint; Interconnecting the multi-core synchronous winding devices with the same model to determine a winding device cluster; Performing an insulation layer quality loss sample search on the winding device cluster according to the first search constraint and the second search constraint to obtain a first insulation layer quality loss search set; A concentrated value calculation is performed on the first insulating layer mass loss retrieval set to obtain a first insulating layer mass loss prediction coefficient, and the first insulating layer mass loss prediction coefficient is added to the insulating layer mass loss prediction sequence.

6. The method for optimizing the quality of the insulation layer in high-density winding of a multi-core cable according to claim 1, characterized in that: According to the winding control evaluation model, a multi-level joint optimization is performed on the second space of the synchronous winding control to obtain a synchronous winding control strategy, including: Setting winding control evaluation expectations, wherein the winding control evaluation expectations include winding efficiency constraints and cabling structure stability constraints; Based on the winding control evaluation model, the synchronous winding control second space is optimized and screened according to the winding control evaluation expectation to construct a synchronous winding control third space; Weights are assigned to winding control joint optimization indicators to construct a winding control optimization function, wherein the winding control joint optimization indicators include winding efficiency, cabling structure stability, and insulation layer quality loss; The synchronous winding control strategy is generated by optimizing the winding control optimality of the third space of the synchronous winding control according to the winding control optimality function.

7. The method for optimizing the quality of the insulation layer in high-density winding of a multi-core cable according to claim 6, characterized in that: Based on the winding control evaluation model, the synchronous winding control second space is optimized and screened according to the winding control evaluation expectation to construct a synchronous winding control third space, including: Extracting a k-th decision of the synchronous winding control according to the second synchronous winding control space, where k is a positive integer; Inputting the kth decision of the synchronous winding control and the core wire detection data set into the winding control evaluation model to obtain a kth winding control evaluation result, wherein the kth winding control evaluation result includes a kth winding efficiency coefficient and a kth cabling structure stability coefficient; Determining whether the kth winding control evaluation result meets the winding control evaluation expectation; If the k-th winding control evaluation result meets the winding control evaluation expectation, the k-th synchronous winding control decision is added to the synchronous winding control third space.

8. The method for optimizing the quality of the insulation layer in high-density winding of a multi-core cable according to claim 1, characterized in that: Controlling the multi-core synchronous winding device to adaptively wind the multiple insulated core wires according to the synchronous winding control strategy includes: Controlling the multi-core synchronous winding device to wind the multiple insulated core wires according to the synchronous winding control strategy to obtain a core wire winding state monitoring set and a winding device state monitoring set; Performing abnormality detection on the core wire winding state monitoring set and the winding device state monitoring set respectively, and determining a core wire winding abnormality detection result and a winding device abnormality detection result; Feedback adjustment is performed on the synchronous winding control strategy according to the core wire winding abnormality detection result and the winding device abnormality detection result.

9. The system for optimizing the quality of the insulation layer in high-density winding of multi-core cables is characterized by: The system comprises: The fitness analysis module is used to obtain the multi-core cable production requirements corresponding to multiple insulated core wires, conduct fitness analysis on the multivariate winding attribute factors in combination with the core wire detection data set, and determine the multi-core arrangement guiding factors; A winding structure design module, used to perform winding structure design on the plurality of insulating core wires based on the core wire detection data set and the multi-core arrangement guide factor to determine the multi-core winding structure layout; A control decision module, used for making a control decision on the multi-core synchronous winding device according to the multi-core winding structure layout and the core wire detection data set to obtain a first synchronous winding control space; A loss inspection module, used for performing an insulation layer quality loss inspection on the first synchronous winding control space according to an insulation layer quality loss threshold value to obtain a second synchronous winding control space; A joint optimization module, used for performing multi-level joint optimization on the synchronous winding control second space according to the winding control evaluation model to obtain a synchronous winding control strategy; The adaptive winding module is used to control the multi-core synchronous winding device to perform adaptive winding on the multiple insulated core wires according to the synchronous winding control strategy.

10. An electronic device, characterized in that: The electronic device comprises: A memory for storing executable instructions; The processor is used to implement the method for optimizing the quality of the insulation layer in the high-density winding of a multi-core cable according to any one of claims 1 to 8 when executing the executable instructions stored in the memory.

Images