A dynamic cooperative control method for winding tension and turn spacing of degaussing coil enameled wire

Abstract

This application provides a dynamic collaborative control method for the winding tension and turn spacing of enameled wire in demagnetizing coils. This method is designed for the winding of demagnetizing coils for display tubes. It achieves real-time coordination and linkage between tension and turn spacing throughout the winding process, ensuring that different tension stages correspond to the most suitable spacing distance. This guarantees that the entire coil is uniformly arranged and has a dense structure from beginning to end. This invention effectively solves the core problem of uneven turn spacing caused by tension fluctuations in precision winding, which in turn leads to magnetic field distribution distortion and decreased coil structural stability. It achieves full-link adaptive collaborative optimization of tension, spacing, material properties, and electromagnetic performance, ensuring high consistency and high stability winding quality.

Description

Technical Field

[0001] This invention relates to the field of demagnetizing coils, and more particularly to a method for dynamic coordinated control of the winding tension and turn spacing of the enameled wire in a demagnetizing coil. Background Technology

[0002] As a core component for achieving precise magnetic field cancellation, the manufacturing quality of the demagnetizing coil directly determines the performance and reliability of the equipment in fields such as aerospace, precision instruments, and medical imaging. During the coil winding process, the uniformity of the enameled wire arrangement and the overall structural stability become crucial factors affecting the final demagnetizing effect.

[0003] Current winding processes mostly employ a single constant tension or simple segmented adjustment method. This approach is prone to inconsistencies in the arrangement of coil layers and turns when dealing with long, high-turn demagnetizing coils. Especially when the coil diameter is large and the number of turns is high, the actual tension on the enameled wire varies significantly at different winding stages, leading to noticeable differences in coil density and consequently affecting the uniformity of the magnetic field distribution.

[0004] The core challenge in winding lies in maintaining a high degree of matching and coordination between the tension and the coil turn spacing, with a strong mutual constraint between the two. When the tension is too high, the wire is excessively stretched; if the spacing remains constant, the coils will become too densely packed or even overlap. Conversely, as the tension gradually decreases, if the spacing remains the same, the coils will become loose and partially collapse. This difficulty in synchronizing dynamic tension changes with spacing control is particularly pronounced at the beginning, middle, and end of the winding process. For example, as winding nears its end, the tension naturally decreases significantly; if the spacing does not increase accordingly, noticeable slack and gaps will appear at the end of the coil, ultimately creating areas of uneven magnetic field strength.

[0005] How to achieve real-time coordination and linkage between tension and turn spacing throughout the winding process, so that different tension stages can correspond to the most suitable spacing distance, thereby ensuring that the entire coil is evenly arranged and has a dense structure from beginning to end, has become a key issue in the high-quality winding and manufacturing of demagnetizing coils. Summary of the Invention

[0006] This invention provides a method for dynamic coordinated control of the winding tension and turn spacing of a demagnetizing coil enameled wire, mainly comprising: The current tension value and corresponding inter-turn position data are obtained from the winding equipment by sensors, and it is determined whether the tension value exceeds the preset threshold range to obtain the initial deviation index. Based on the initial deviation index, a feedback control algorithm is used to process the tension value and position data. If the deviation index is greater than the threshold, the required interval compensation amount is calculated to obtain the adjustment parameters. Obtain the details of the compensation amount from the adjustment parameters, determine the matching degree between the compensation amount and the current winding stage to obtain the optimized interval distance value; For the optimized interval distance value, the coil turn information is integrated through an adaptive adjustment algorithm. If the matching degree is lower than the threshold, the compensation amount is recalculated to obtain a refined interval sequence. Dynamic matching features of each segment in the refining interval sequence are extracted, and the coordination level between the features and the properties of the enameled wire is determined to obtain a whole-process coordination scheme. According to the whole process coordination scheme, the execution module updates the control signal of the winding equipment, and if the coordination level meets the threshold, the signal is applied to obtain the real-time execution result. The updated tension value and interval data are obtained from the real-time execution results, and the contribution of the data to the uniformity of the magnetic field distribution is determined to obtain the final structural stability index.

[0007] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention discloses a dynamic collaborative control method for tension and turn spacing in demagnetizing coil enameled wire winding. The method involves real-time acquisition of tension values ​​and corresponding turn positions in the winding equipment using sensors. First, it determines whether the tension exceeds a preset threshold, forming an initial deviation index. Then, a feedback control algorithm processes the tension and position data. When the deviation exceeds the limit, the required interval compensation is calculated to obtain adjustment parameters. Subsequently, the matching degree between the compensation amount and the current winding stage is analyzed to form an optimized interval distance value. Then, combined with the coil turn count information, an adaptive adjustment algorithm is used to generate a refined interval sequence. The dynamic matching features of each segment of the sequence are extracted to evaluate its coordination level with the enameled wire properties, thus constructing a full-process coordination scheme. Finally, the control signal of the winding equipment is updated based on this scheme, and the contribution of tension and interval data to the uniformity of the magnetic field distribution is verified in real time to obtain the final structural stability index. This invention effectively solves the core problem of uneven turn spacing caused by tension fluctuations in precision winding, which leads to magnetic field distribution distortion and decreased coil structural stability. It achieves full-link adaptive collaborative optimization of tension, spacing, material properties, and electromagnetic performance, ensuring high consistency and high stability winding quality. Attached Figure Description

[0008] Figure 1 This is a flowchart of a method for dynamic coordinated control of winding tension and turn spacing of a demagnetizing coil enameled wire according to the present invention.

[0009] Figure 2 This is a schematic diagram of a dynamic coordinated control method for the winding tension and turn spacing of a demagnetizing coil enameled wire according to the present invention.

[0010] Figure 3This is another schematic diagram of a dynamic coordinated control method for the winding tension and turn spacing of a demagnetizing coil enameled wire according to the present invention. Detailed Implementation

[0011] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0012] like Figures 1-3 This embodiment of a method for dynamic coordinated control of the winding tension and turn spacing of a demagnetizing coil enameled wire may specifically include: Step S101: Obtain the current tension value and corresponding inter-turn position data from the winding equipment using a sensor, and determine whether the tension value exceeds a preset threshold range to obtain an initial deviation index.

[0013] The system acquires tension values ​​and corresponding inter-turn position information in real time from the winding equipment using sensors to determine the current operating status of the equipment. Based on the acquired tension values, each set of data is compared with a preset threshold to determine if any abnormalities exist, thus obtaining an initial deviation index. If the initial deviation index indicates that the tension values ​​exceed the preset threshold, the corresponding inter-turn position information is marked to identify the abnormal position dataset. Through correlation analysis between the abnormal position dataset and the equipment status data, a support vector machine algorithm is used to classify potential problems in tension monitoring, obtaining classification results. Based on the classification results, the tension values ​​and inter-turn position information corresponding to each type of problem are grouped to determine the problem distribution range. After obtaining the problem distribution range information, the real-time performance of tension monitoring is dynamically adjusted in conjunction with the equipment status data to obtain optimized monitoring parameters. Using the optimized monitoring parameters, subsequent tension values ​​and inter-turn position information acquired by sensors are continuously analyzed to determine if new deviation indicators exist.

[0014] The winding equipment uses a high-precision tension sensor installed behind the pay-off reel to collect the current tension value in real time. The sensor sampling frequency is set to 100Hz. Each acquisition simultaneously records the encoder pulse count of the current winding shaft and converts it into the inter-turn position, with a position resolution accurate to 0.01 turns. The system compares the collected tension value with a pre-set process threshold range, which is determined based on the enameled wire specifications and number of layers. For example, the tension threshold range is set to (28.0N, 38.0N) for single-layer winding with a wire diameter of 0.08mm, and adjusted to (32.0N, 42.0N) for double-layer winding. If the current tension value is 36.7N and the corresponding position is the 17.45th turn, then 36.7 is within the range of 28.0 to 38.0, and the initial deviation indicator is 0. If the tension suddenly changes to 41.2N at a certain moment, the corresponding position is the 17.45th turn. If there are 28.13 turns, the deviation exceeds the upper limit by 3.2N. The system immediately calculates the deviation as 41.2 - 38.0 = 3.2N, and calculates the deviation index as 3.2 × 0.45 = 1.44 according to the formula Deviation Index = Deviation × Weighting Coefficient (the weighting coefficient is the current layer number × 0.15, for example, the weight of the 3rd layer is 0.45). After collecting data 1000 times, all deviation indices exceeding the threshold are accumulated and averaged. At the same time, the system analyzes the location distribution to see if there is a concentrated deviation phenomenon in a specific number of turns range. If the cumulative proportion of deviation index in the 28-32 turn range exceeds 65% of the total deviation, it is determined that there is a systemic tension anomaly risk in this range, triggering the subsequent adaptive compensation adjustment process, thus forming a complete closed-loop analysis link from raw data collection to deviation index quantification and abnormal area location.

[0015] Step S102: Based on the initial deviation index, the tension value and position data are processed using a feedback control algorithm. If the deviation index is greater than the threshold, the required interval compensation amount is calculated to obtain the adjustment parameters.

[0016] Sensors are used to collect real-time data on the current tension value and corresponding inter-turn position from the winding equipment, resulting in a tension value sequence and a position sequence. The tension value sequence is compared with a preset standard range to calculate the deviation of each data set, yielding an initial deviation index. A feedback control algorithm is used to process the initial deviation index and corresponding position sequence. If the deviation index exceeds a preset threshold, a compensation calculation process is initiated to identify the abnormal position points requiring processing. The actual change in the inter-turn spacing between adjacent turns is calculated based on the position sequence of the abnormal position points, resulting in the current interval deviation sequence. The required interval compensation amount is calculated using a proportional-integral control method based on the current interval deviation sequence, yielding the compensation value. This compensation value is then superimposed on the original adjustment parameters at the corresponding positions to obtain updated adjustment parameters. The tension control commands in subsequent winding processes are corrected based on the updated adjustment parameters to obtain optimized control commands.

[0017] Based on the initial deviation index, a PID feedback control algorithm is used to process the tension value and position data in real time. The system reads the current deviation index every 0.02 seconds. When the deviation index is greater than 0.8 in 5 consecutive samples, it is determined to enter the compensation trigger state. The controller first calculates the error e(k) between the deviation index and the target value 0, and then calculates the proportional term Kp×e(k), the integral term Ki×Σe(i), and the derivative term Kd×(e(k)-e(k-1)), where Kp takes the value of Given 2.5, Ki is 0.12, and Kd is 0.35; taking the fourth layer of winding as an example, when the average deviation index of a certain position data reaches 1.62, the calculated control output u(k) is: 2.5 × 1.62 + 0.12 × cumulative error (the sum of the first 20 times is 8.4) + 0.35 × (1.62 - 1.48) = 4.05 + 1.008 + 0.049 = 5.107; this output value u(k) is directly mapped to the tension compensation amount, and the mapping relationship is: compensation amount = u(k)×0.18N, which means an additional downward compensation force of 0.919N needs to be applied. The system adds this compensation amount to the torque command of the wire-laying servo motor. At the same time, it dynamically adjusts the Kp value according to the layer and turn range of the current position. For example, when the position enters the second half of the same layer (the number of turns is greater than 60% of the total number of turns in that layer), Kp is automatically reduced to 2.1 to prevent overcompensation oscillation. After the adjustment parameter takes effect, it continues to monitor the subsequent 200 sampling data. If the deviation index drops below 0.5, the current compensation amount is maintained. If it is still higher than 0.9, it enters the second integral enhancement mode and temporarily increases Ki to 0.18 to continue iterative calculation until the deviation index stabilizes within 0.4, thereby realizing the closed-loop adaptive adjustment of tension and ensuring the continuous stability of the winding process.

[0018] Step S103: Obtain the compensation amount details from the adjustment parameters, determine the matching degree between the compensation amount and the current winding stage to obtain the optimized interval distance value.

[0019] Step 1: Obtain the compensation value data from the adjustment parameters, and classify and organize each group of data to obtain a categorized compensation value set. Step 2: Based on the categorized compensation value set and the current winding stage's operating status, analyze the compatibility between each compensation value set and the winding stage, and determine the compatibility result data. Step 3: If the compatibility result data is lower than a preset threshold, recalculate the compensation values ​​and combine them with real-time information processing of the winding stage to obtain an updated compensation value set. Step 4: Using the updated compensation value set, correct the original interval distance data to obtain corrected interval distance data. Step 5: Analyze the matching situation with the winding stage based on the corrected interval distance data. If the matching situation does not meet the preset standard, perform a second adjustment on the interval distance data through information processing to obtain adjusted distance data. Step 6: Using the adjusted distance data and the operating parameters of the winding stage, optimize subsequent control commands to obtain optimized control command data. Step 7: Using the optimized control command data, generate an execution plan suitable for the winding stage and determine the final execution plan content.

[0020] After extracting the compensation details from the adjustment parameters, the system first calculates the matching degree between the compensation amount and the number of layers, turns progress and wire type in the current winding stage to obtain the optimized interval distance value. Taking the middle section of the 5th layer winding as an example, the initial compensation is calculated to be 0.724N. The current winding is at the 320th turn of the 5th layer (the total number of turns in this layer is 480, accounting for 66.7%). The wire specification is 0.35mm enameled wire. The system calls the matching evaluation function: Matching degree = 1 - (current turn percentage - 0.5) × 0.8 × layer correction coefficient, where the layer correction coefficient for the 5th layer is 0.92. Substituting this into the calculation, we get the matching degree = 1 - (0.667 - 0.5) × 0.8 × 0.92 = 1 - 0.122 = 0.878. Subsequently, the basic spacing distance is corrected according to the matching degree. The basic spacing distance is wire diameter × 1.05 = 0.3675mm. The optimized spacing distance = basic spacing distance × (1 + 0.35 × (1 - matching degree)) = 0.3675 × (1 + 0.35 × 0.1) 22) = 0.3675 × 1.0427 = 0.3832 mm; The system simultaneously analyzes the tension fluctuation variance in the historical 50 samples, which is 0.036. If the variance is greater than 0.03, an additional interval fine-tuning amount is applied. The fine-tuning amount = 0.012 × (variance - 0.03) / 0.01 = 0.0072 mm. Finally, the optimized interval distance is determined to be 0.3832 + 0.0072 = 0.3904 mm. This value is written into the pulse equivalent table of the winding machine stepper motor in real time and compared with the actual settlement amount of the previous layer at the beginning of each subsequent layer. If the settlement deviation exceeds 0.015 mm, the interval self-learning correction is triggered. The correction formula is new interval = current optimized interval × (1 + deviation / average wire diameter), thus forming a closed-loop dynamic optimization process of inter-layer interval to ensure the uniformity of coil arrangement and the stability of the overall structure.

[0021] Step S104: For the optimized interval distance value, the coil turn information is integrated through an adaptive adjustment algorithm. If the matching degree is lower than the threshold, the compensation amount is recalculated to obtain the refined interval sequence.

[0022] The process involves obtaining the current layer number and corresponding number of turns of the winding equipment, performing layered grouping processing on the historical compensation data using the layer number to obtain a layered compensation set, and using an adaptive adjustment algorithm to match the number of turns with the layered compensation set to calculate the matching degree value for each group. The process then determines the relationship between the matching degree value and a preset threshold. If the matching degree value is lower than the preset threshold, the compensation recalculation process is initiated; if the matching degree value is higher than or equal to the preset threshold, the original compensation value is directly retained. Based on the real-time layer thickness data and current tension status information of the winding layer, the compensation recalculation process is performed to obtain a refined compensation sequence. This refined compensation sequence is then used to perform point-by-point correction calculations on the initial interval distance sequence to obtain a corrected interval distance sequence. A correspondence is established between the corrected interval distance sequence and the current layer number to determine the applicable interval distance control sequence for the current layer. Finally, the applicable interval distance control sequence for the current layer is sent to the winding control module to complete the update and configuration of the interval distance parameters for this layer.

[0023] For the optimized spacing value, the system integrates the dynamic ratio information of the current number of turns wound and the target total number of turns through an adaptive adjustment algorithm, calculates the matching degree in real time, and compares it with the preset threshold of 0.82. Taking the late stage of the 7th layer winding as an example, at this time, the 410th turn of the 7th layer has been completed (the target total number of turns in this layer is 520, and the current proportion is 0.788), the wire is 0.28mm self-adhesive enameled wire, and the initial optimized spacing distance is tentatively set at 0.305mm; the algorithm first extracts the absolute value of the deviation of the current number of turns proportion |0.788-0.5|=0.288, and substitutes it into the matching degree formula: matching degree = 0.95×e^(-1.6×turn proportion deviation)×layer attenuation factor The attenuation factor for the 7th layer is set to 0.88, and the matching degree is calculated as 0.95 × e^(-1.6 × 0.288) × 0.88 = 0.95 × 0.632 × 0.88 = 0.528. Since 0.528 is lower than the threshold of 0.82, the compensation amount recalculation process is triggered. The system calls the compensation re-evaluation module. Based on the fact that the current layer's winding ratio is too high, the original compensation tension benchmark of 0.62N is adjusted to compensation tension = 0.62 × (1 + 1.25 × ( The ratio of turns to total turns (-0.65) = 0.62 × (1 + 1.25 × 0.138) = 0.62 × 1.1725 = 0.727 N; subsequently, based on the new compensation tension, the corresponding inter-layer foundation spacing increment of 0.021 mm is obtained by looking up the table again. The original foundation spacing of 0.305 mm plus the increment yields an intermediate spacing of 0.326 mm; at the same time, the tension sampling data of the most recent 80 times is extracted, and the standard deviation of short-term fluctuation is calculated to be 0.028. If the standard deviation is less than 0.03... 2. A positive smoothing correction is applied, with a correction amount of 0.008 × (0.032 - 0.028) = 0.00032 mm, and the final refining interval sequence is determined to be 0.3263 mm. This sequence value is pushed to the winding controller register in segments, and compared with the actual layer thickness increment fed back by laser ranging after every 50 turns of winding. If the deviation exceeds 0.008 mm, the next round of matching degree recalculation and compensation iteration is started to form a continuous adaptive interval refining closed-loop control.

[0024] Step S105: Extract the dynamic matching features of each segment in the refining interval sequence, and determine the coordination level between the features and the properties of the enameled wire to obtain a whole-process coordination scheme.

[0025] The refined interval sequence is obtained by segmentation to obtain segment division results. Feature extraction is performed on each segment division result to obtain dynamic matching features. The dynamic matching features are compared with the pre-stored enameled wire attributes to obtain attribute comparison values. The relationship between the attribute comparison values ​​and the preset coordination threshold is determined. If the attribute comparison value is less than the preset coordination threshold, it is marked as a low coordination segment and the corresponding segment number is recorded. If the attribute comparison value is greater than or equal to the preset coordination threshold, it is marked as a high coordination segment and the corresponding segment number is recorded. The coordination level is determined based on the marking results of the low and high coordination segments. The process control parameters are obtained by establishing a correspondence between the coordination level and the winding layer order. The process control parameters are used to adjust the entire winding path in sections to obtain the whole process coordination scheme.

[0026] When extracting dynamic matching features from each segment of the refined interval sequence, the system first performs feature decomposition on sub-segments in units of 50 consecutive turns, calculating the average interval value, interval change rate, and deviation from the geometric curvature of the coil for each segment. Taking the 9th layer front segment as an example, the extracted interval features of three sub-segments are 0.3182mm, 0.3297mm, and 0.3415mm, with corresponding change rates of 0.0115mm / 50 turns and 0.0118mm / 50 turns, respectively. At the same time, the measured parameters of the current batch of 0.28mm self-adhesive enameled wire are collected, including the average enamel film thickness of 0.0178mm, the enamel film hardness value of 68.4HA, and the surface friction coefficient of 0.136. The coordination analysis module uses a weighted coordination index formula: Coordination Level = 0.42 × (1 - |Interval Change Rate - Theoretical Curvature Change Rate| / 0.018) + 0.35 × e^(-12 × |Film Thickness - Standard Thickness|) + 0.23 × (1 - Friction Coefficient / 0.20), where the theoretical curvature change rate of the 9th layer is 0.0122 mm / 50 turns, and the standard film thickness is 0.0180 mm. Substituting these values, the coordination levels for each sub-segment are 0.794, 0.681, and 0.559, respectively. The overall coordination level for the entire layer is calculated as a weighted average of the three segments, which is 0.678. Because the overall coordination level was lower than the preset threshold of 0.74, the entire process coordination scheme was adjusted: For the third segment with the lowest coordination level, the system automatically increased the preheating temperature of the enameled wire from 82℃ to 91℃ to reduce the surface friction coefficient to approximately 0.121. Simultaneously, the target tension benchmark for this segment was increased from 0.71N to 0.79N. A corresponding interval correction coefficient of 1.084 was obtained from the table. After application, the interval of the third segment was adjusted to 0.3415 × 1.084 = 0.3702mm. After recalculating the new sequence characteristics, the coordination level increased to 0.792, meeting the entire process coordination requirements. The scheme parameters were then fixed and pushed to the winding machine parameter table for initial feature matching reference for subsequent coils of the same specification.

[0027] Step S106: According to the whole process coordination scheme, the control signal of the winding equipment is updated by the execution module. If the coordination level meets the threshold, the signal is applied to obtain the real-time execution result.

[0028] The current operating data of the winding equipment is obtained through a coordination scheme. This data is then preliminarily processed to obtain equipment status information. Based on this status information, the execution module dynamically generates control signals to determine the signal adjustment direction. For each signal adjustment direction, the coordination level is compared against a preset threshold. If the coordination level is lower than the threshold, the signal is reconfigured to obtain the adjusted signal content. Based on the adjusted signal content, the response data of the winding equipment is obtained, and it is determined whether the response data meets the expected range. If not, the execution module performs fine-tuning of the signal to determine the final signal scheme. Using the final signal scheme, the winding equipment is updated in real time to obtain real-time feedback on equipment operation, resulting in the updated operating status. Based on the updated operating status, it is determined whether the equipment has reached stable operating conditions. If not, the control signals are cyclically adjusted to obtain a stable operating result. Based on the stable operating result, the real-time execution result is obtained to determine the overall operating efficiency of the winding equipment.

[0029] When the execution module updates the control signals of the winding equipment in the whole-process coordination scheme, the system first extracts the key parameter combination that needs to be adjusted from the coordination analysis results, including the target preheating temperature adjustment of the third sub-segment by +9℃, the tension reference increase by +0.08N, and the corresponding layer linear speed fine-tuning value of -1.2%. The execution module maps these parameters to the address of the winding machine PLC register and generates a real-time control instruction sequence. For example, it overwrites the preheater PID setpoint from 82.0℃ to 91.0℃, updates the servo driver tension closed-loop target from 0.71N to 0.79N, and reduces the linear speed reference of turns 401 to 450 of the corresponding layer of the coil from 1200mm / s to 1188mm / s to match the adjusted thermal expansion and tension balance. After the command was issued, the equipment feedback acquisition module monitored the actual execution status at a 10ms cycle, obtaining the current measured surface temperature of the enameled wire (91.3℃), the actual tension fluctuation range of 0.778N to 0.802N, and the corresponding new interval sequence sampling values ​​of 0.3698mm, 0.3705mm, and 0.3711mm. The system then re-extracted the dynamic features of the updated interval sequence, calculated the average interval of the three segments to be 0.3705mm, and the rate of change to be 0.0013mm / 50 turns, reducing the deviation from the theoretical curvature change rate of the 9th layer (0.0122mm / 50 turns) to within 0.0009mm / 50 turns; at the same time, the enameled wire batch parameter library was updated, recording that the current friction coefficient had dropped to 0.121 and the enamel film thickness had stabilized at 0.0179mm. The coordination analysis module again calls the weighted coordination index formula, substituting the latest data to obtain coordination levels of 0.812, 0.803, and 0.796 for each sub-segment. The average of the overall coordination level of the layers and segments is 0.804, which exceeds the preset threshold of 0.74. After determining that the coordination level meets the requirements, the execution module immediately solidifies all current control parameter combinations, forming a closed-loop optimization record and marking it as "Optimization Scheme V2.1 for the 9th Layer, 3rd Sub-Segment". It is then simultaneously pushed to the central database and the initial parameter configuration file of the same type of winding machine group for automatic recall of the initial matching benchmark in subsequent batches, avoiding repeated low-coordination iterations.

[0030] Step S107: Obtain the updated tension value and interval data from the real-time execution results, and determine the contribution of the data to the uniformity of the magnetic field distribution to obtain the final structural stability index.

[0031] The updated tension values ​​and interval data are obtained from real-time results. The data is initially processed by the data analysis module to obtain standardized tension distribution information. For the standardized tension distribution information, a preset threshold is used to compare its uniformity. If the uniformity is lower than the preset threshold, the tension values ​​are redistributed using a data adjustment tool to determine the adjusted distribution state. Based on the adjusted distribution state, relevant magnetic field distribution data is obtained, and the data is classified using a support vector machine algorithm to obtain a preliminary assessment result of the magnetic field distribution. Based on the preliminary assessment result, the influence direction of the magnetic field distribution on structural indicators is analyzed. If the influence direction deviates from a preset range, the interval data is fine-tuned to determine the optimized distribution parameters. Based on the optimized distribution parameters, the stability value in the updated content is obtained. The information processing module performs multi-dimensional comparisons of the value to obtain an intermediate index of structural stability. For the intermediate index, real-time feedback data after the update is obtained. The feedback data is matched with a preset target using a comparative analysis tool to determine the final structural stability index. Based on the final structural stability index, a corresponding magnetic field distribution adjustment scheme is generated. The scheme is stored by the system's automatic processing module to obtain data records available for subsequent use.

[0032] After obtaining the updated tension values ​​and interval data from the real-time execution results, the system first calls the magnetic field uniformity analysis subroutine, using the real-time tension sequence of the current 9th layer, fourth segment (0.785N, 0.792N, 0.779N, 0.801N) and the corresponding interval sequence (0.3722mm, 0.3731mm, 0.3718mm, 0.3740mm) as input. A finite element electromagnetic simulation acceleration algorithm is used, based on the Biot-Savart law, to discretize and calculate the contribution vector of the current element of each turn of the conductor to the central axial magnetic induction intensity. The small change in wire diameter Δd = ±0.0008mm and the interval deviation Δs = ±0.0011mm caused by tension fluctuations are mapped to local current density offsets. Integration then yields the maximum deviation of the radial component Br (0.0047T) and the standard deviation of the axial component Bz (0.0032T). By constructing a magnetic field uniformity contribution function C=Bz_avg / (Br_max+Bz_std), the contribution weight of this sub-segment to the overall magnetic field distribution uniformity is calculated to be 0.276, of which tension stability accounts for 61.4% and interval uniformity accounts for 38.6%. The system then vector-superimposes this contribution weight with the cumulative contributions of the previous three sub-segments (0.218, 0.241, and 0.259) to obtain the current layer's cumulative structural stability index S=Σ(wi·Ci)=0.994, which is close to the ideal value of 1.000. The analysis module further determines that if S≥0.985, the final structural stability meets the standard, triggering the parameter solidification process and storing the tension-interval-magnetic field mapping relationship as a vector group in the feature knowledge base. Simultaneously, a batch association tag "Electromagnetic Uniformity Enhancement V3.2" is generated for subsequent automatic loading of reference constraints on motor windings of the same specification, avoiding the accumulation of magnetic field distortion.

[0033] If the technical solution of this application involves the acquisition of personal information, the product using this solution has clearly informed the user of the processing rules and obtained the user's consent before processing. If sensitive personal information is involved, the user's individual consent has been obtained and the "express consent" requirement has been met. For example, a clear sign is placed at the collection device to indicate the collection scope, and the user's voluntary entry is considered as consent; or authorization is obtained through pop-up windows, user uploads, etc. The processing rules include the processor, purpose, method, and type of information.

[0034] The above description is merely a preferred embodiment of one or more embodiments of this specification and is not intended to limit the scope of one or more embodiments of this specification. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of one or more embodiments of this specification should be included within the protection scope of one or more embodiments of this specification.

Claims

1. A method for dynamic coordinated control of the winding tension and turn spacing of a demagnetizing coil enameled wire, characterized in that, The method includes: The current tension value and corresponding inter-turn position data are obtained from the winding equipment by sensors, and it is determined whether the tension value exceeds the preset threshold range to obtain the initial deviation index. Based on the initial deviation index, a feedback control algorithm is used to process the tension value and position data. If the deviation index is greater than the threshold, the required interval compensation amount is calculated to obtain the adjustment parameters. Obtain the details of the compensation amount from the adjustment parameters, determine the matching degree between the compensation amount and the current winding stage to obtain the optimized interval distance value; For the optimized interval distance value, the coil turn information is integrated through an adaptive adjustment algorithm. If the matching degree is lower than the threshold, the compensation amount is recalculated to obtain a refined interval sequence. Dynamic matching features of each segment in the refining interval sequence are extracted, and the coordination level between the features and the properties of the enameled wire is determined to obtain a whole-process coordination scheme. According to the whole process coordination scheme, the execution module updates the control signal of the winding equipment, and if the coordination level meets the threshold, the signal is applied to obtain the real-time execution result. The updated tension value and interval data are obtained from the real-time execution results, and the contribution of the data to the uniformity of the magnetic field distribution is determined to obtain the final structural stability index.

2. The method for dynamic coordinated control of winding tension and turn spacing of a demagnetizing coil enameled wire according to claim 1, characterized in that, The step of acquiring the current tension value and corresponding inter-turn position data from the winding equipment via sensors, and determining whether the tension value exceeds a preset threshold range to obtain an initial deviation index, includes: By acquiring tension value data and corresponding inter-turn position information from the winding equipment in real time through sensors, the current operating status data of the equipment can be determined. Based on the obtained tension value data, each set of data is compared with the preset threshold to determine whether there are any abnormal situations that exceed the range, and an initial deviation index is obtained. If the initial deviation index shows that the tension value data exceeds the preset threshold, the corresponding inter-turn position information is marked to determine the abnormal position dataset; By analyzing the correlation between the abnormal location dataset and the equipment status data, the support vector machine algorithm is used to classify potential problems in tension monitoring and obtain classification result data. Based on the classification results, the tension value data and inter-turn location information corresponding to each type of problem are grouped and processed to determine the problem distribution range information; After obtaining the problem distribution range information, the real-time performance of tension monitoring is dynamically adjusted in combination with equipment status data to obtain optimized monitoring parameters; By using optimized monitoring parameters, the tension data and inter-turn position information collected by subsequent sensors are continuously analyzed to determine whether there are any new deviation indicators.

3. The method for dynamic coordinated control of winding tension and turn spacing of a demagnetizing coil enameled wire according to claim 1, characterized in that, The process involves using a feedback control algorithm to process the tension and position data based on an initial deviation index, and determining if the deviation index exceeds a threshold. If so, the required interval compensation is calculated to obtain the adjustment parameters. This includes: The current tension value and corresponding inter-turn position data are collected in real time from the winding equipment using sensors to obtain the tension value sequence and position sequence; By comparing the tension value sequence with the preset standard range, the degree of deviation of each set of data is calculated to obtain the initial deviation index; The initial deviation index and corresponding position sequence are processed by a feedback control algorithm. If the deviation index is greater than the preset threshold, the compensation calculation process is entered to obtain the abnormal position points that need to be processed. The actual change in the spacing between adjacent turns is calculated based on the position sequence of abnormal locations to obtain the current interval deviation sequence; The required interval compensation amount is calculated using the proportional-integral control method based on the current interval deviation sequence, and the compensation amount value is obtained. The compensation value is superimposed on the original adjustment parameter at the corresponding position to obtain the updated adjustment parameter; Based on the updated adjustment parameters, the tension control commands in the subsequent winding process are corrected to obtain optimized control commands.

4. The method for dynamic coordinated control of winding tension and turn spacing of a demagnetizing coil enameled wire according to claim 1, characterized in that, The step of obtaining compensation details from adjustment parameters and determining the matching degree between the compensation amount and the current winding stage to obtain the optimized interval distance value includes: Step 1: Obtain the compensation value data from the adjustment parameters, classify and organize each group of data to obtain a set of classified compensation values; Step 2: Based on the classified set of compensation values ​​and the current operating status of the winding stage, analyze the degree of fit between each set of compensation values ​​and the winding stage, and determine the result data of the degree of fit. Step 3: If the result data of the fit degree is lower than the preset threshold, the compensation value is recalculated and combined with the real-time information processing of the winding stage to obtain the updated compensation value set. Step 4: Using the updated set of compensation values, correct the original data of the interval distance to obtain the corrected interval distance data; Step 5: Based on the corrected interval distance data, analyze the matching situation with the winding stage. If the matching situation does not meet the preset standard, the interval distance data is adjusted a second time through the information processing stage to obtain the adjusted distance data. Step 6: Using the adjusted distance data and the operating parameters during the winding stage, optimize the subsequent control commands to obtain optimized control command data; Step 7: Using the optimized control command data, generate an execution plan suitable for the winding stage and determine the final execution plan content.

5. The method for dynamic coordinated control of winding tension and turn spacing of a demagnetizing coil enameled wire according to claim 1, characterized in that, The optimized interval distance value is integrated with the coil turn information through an adaptive adjustment algorithm. If the matching degree is lower than the threshold, the compensation amount is recalculated to obtain a refined interval sequence, including: The process involves obtaining the current layer number and corresponding number of turns of the winding equipment, performing layered grouping processing on the historical compensation data using the layer number to obtain a layered compensation set, and using an adaptive adjustment algorithm to match the number of turns with the layered compensation set to calculate the matching degree value for each group. The process then determines the relationship between the matching degree value and a preset threshold. If the matching degree value is lower than the preset threshold, the compensation recalculation process is initiated; if the matching degree value is higher than or equal to the preset threshold, the original compensation value is directly retained. Based on the real-time layer thickness data and current tension status information of the winding layer, the compensation recalculation process is performed to obtain a refined compensation sequence. This refined compensation sequence is then used to perform point-by-point correction calculations on the initial interval distance sequence to obtain a corrected interval distance sequence. A correspondence is established between the corrected interval distance sequence and the current layer number to determine the applicable interval distance control sequence for the current layer. Finally, the applicable interval distance control sequence for the current layer is sent to the winding control module to complete the update and configuration of the interval distance parameters for this layer.

6. The method for dynamic coordinated control of winding tension and turn spacing of a demagnetizing coil enameled wire according to claim 1, characterized in that, The process of extracting dynamic matching features from each segment of the refining interval sequence and determining the coordination level between these features and the properties of the enameled wire to obtain a comprehensive coordination scheme includes: The refined interval sequence is obtained by segmentation to obtain segment division results. Feature extraction is performed on each segment division result to obtain dynamic matching features. The dynamic matching features are compared with the pre-stored enameled wire attributes to obtain attribute comparison values. The relationship between the attribute comparison values ​​and the preset coordination threshold is determined. If the attribute comparison value is less than the preset coordination threshold, it is marked as a low coordination segment and the corresponding segment number is recorded. If the attribute comparison value is greater than or equal to the preset coordination threshold, it is marked as a high coordination segment and the corresponding segment number is recorded. The coordination level is determined based on the marking results of the low and high coordination segments. The process control parameters are obtained by establishing a correspondence between the coordination level and the winding layer order. The process control parameters are used to adjust the entire winding path in sections to obtain the whole process coordination scheme.

7. The method for dynamic coordinated control of winding tension and turn spacing of a demagnetizing coil enameled wire according to claim 1, characterized in that, The step of updating the control signal of the winding equipment using the execution module according to the whole-process coordination scheme, and determining whether the coordination level meets the threshold, applies the signal to obtain the real-time execution result, includes: By coordinating the scheme, the current operating data of the winding equipment is obtained, and the data is preliminarily processed to obtain the equipment status information; Based on the equipment status information, the execution module dynamically generates control signals and determines the direction of signal adjustment; For the direction of signal adjustment, the coordination level is compared with a preset threshold. If the coordination level is lower than the preset threshold, the signal is reconfigured to obtain the adjusted signal content. Based on the adjusted signal content, obtain the response data of the winding equipment, determine whether the response data meets the expected range, and if not, perform signal fine-tuning through the execution module to determine the final signal scheme. The final signal scheme is adopted to update the winding equipment in real time, obtain real-time feedback on the equipment operation, and obtain the updated operating status. By updating the operating status, it is determined whether the equipment has reached the stable operating conditions. If not, the control signals are cyclically adjusted to obtain a stable operating result. Based on the stable operation results, obtain the real-time execution results and determine the overall operating efficiency of the winding equipment.

8. The method for dynamic coordinated control of winding tension and turn spacing of a demagnetizing coil enameled wire according to claim 1, characterized in that, The step of obtaining updated tension values ​​and interval data from real-time execution results, and determining the contribution of the data to the uniformity of the magnetic field distribution to obtain the final structural stability index includes: The updated tension values ​​and interval data are obtained from the real-time results. The data is then preliminarily processed by the data analysis module to obtain standardized tension distribution information. For the standardized tension distribution information, a preset threshold is used to compare the uniformity. If the uniformity is lower than the preset threshold, the tension values ​​are redistributed using a data adjustment tool to determine the adjusted distribution state. Based on the adjusted distribution state, relevant data on the magnetic field distribution are obtained, and the data is classified using the support vector machine algorithm to obtain a preliminary assessment result of the magnetic field distribution. Based on the preliminary evaluation results, the influence direction of the magnetic field distribution on the structural indicators is analyzed. If the influence direction deviates from the preset range, the interval data is fine-tuned to determine the optimized distribution parameters. Based on the optimized distribution parameters, the stability value in the updated content is obtained, and the value is compared in multiple dimensions through the information processing module to obtain an intermediate index of structural stability. For intermediate indicators, obtain real-time feedback data after the update, and use comparative analysis tools to match the feedback data with preset targets to determine the final structural stability indicators; Based on the final structural stability index, a corresponding magnetic field distribution adjustment scheme is generated. The scheme is then stored by the system's automatic processing module to obtain data records that can be called up later.

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