PET plastic steel belt finished product straightening and packaging method and system

Abstract

The invention relates to the technical field of plastic steel belt processing, and discloses a PET plastic steel belt finished product straightening and packaging method and system.The method comprises the steps that after a PET plastic steel belt coiled material is obtained, stress distribution is analyzed, a target plastic steel belt is screened, and a multi-dimensional straightening matrix is constructed; then, sickle bending rate characteristics are extracted, deformation types and regions are analyzed, and deformation strength indexes are calculated; delimiting a high-risk location according to the index, obtaining a calibration output strip through three-roller differential cooperative regulation and heating compensation, and performing appearance detection; then analyzing a plasticizing track, determining a failure mode, identifying a monitoring point and calculating a straightening index; and finally, regulating and packaging according to indexes, analyzing finished product integrity indexes, and generating a straightening and packaging report. According to the invention, the straightening and packaging quality of the PET plastic steel belt finished product can be improved.

Description

Technical Field

[0001] This invention relates to a method and system for straightening and packaging finished PET plastic steel strapping, belonging to the field of plastic steel strapping processing technology. Background Technology

[0002] The PET plastic steel strapping straightening and packaging method refers to the technical process of straightening polyethylene terephthalate (PET) plastic steel strapping rolls into straight strips and then packaging them as finished products. Its quality depends on the precise control of the internal stress and deformation of the material.

[0003] In existing technologies, the straightening process of PET plastic steel strapping mainly relies on fixed roller sets or manual adjustment based on experience, lacking a deep understanding of the stress distribution and camber characteristics of the roll material. In particular, the problem of camber (single-sided local bending) is particularly problematic. Static straightening rollers, unable to identify the specific deformation intensity of the bending area, often apply indiscriminate pressure, leading to micro-cracks or stress concentration in over-straightened sections. At the same time, the differences in camber rate and location distribution among different roll materials are not quantified, causing a mismatch between straightening parameters and actual deformation, which can easily lead to rebound deformation or breakage after packaging. Therefore, a straightening and packaging method for finished PET plastic steel strapping is needed to improve the straightening and packaging quality of finished PET plastic steel strapping products. Summary of the Invention

[0004] This invention provides a method and system for straightening and packaging finished PET plastic steel strapping products, the main purpose of which is to improve the straightening and packaging quality of finished PET plastic steel strapping products.

[0005] To achieve the above objectives, the present invention provides a method for straightening and packaging finished PET plastic strapping, comprising:

[0006] Obtain PET plastic steel strip rolls, analyze the stress distribution data corresponding to the PET plastic steel strip rolls, and based on the stress distribution data, select the target plastic steel strips that need to be straightened in the PET plastic steel strip rolls, and construct a multi-dimensional straightening matrix of the target plastic steel strips in a multi-stage variable diameter roller group;

[0007] Extract the sickle curvature feature from the multidimensional straightening matrix, analyze the deformation type corresponding to the target plastic steel strip based on the sickle curvature feature, analyze the sickle bend region under the deformation type, and calculate the deformation strength index corresponding to the sickle bend region.

[0008] Based on the deformation strength index, high-risk areas in the preset straightening device are identified. Based on the high-risk areas, three-roll differential speed coordinated control and controllable heating compensation are implemented on the target plastic steel belt to obtain the calibration output belt. The calibration output belt is subjected to appearance inspection to obtain appearance inspection data.

[0009] Based on the apparent detection data, the plasticization trajectory of the calibrated output strip is analyzed. Based on the plasticization trajectory, the straightening failure mode of the calibrated output strip is determined, and the straightening monitoring point in the straightening failure mode is identified. Based on the straightening monitoring point, the straightening index of the calibrated output strip is calculated.

[0010] Based on the bending straightening index, the calibration output strip is straightened and adjusted to obtain straightened adjusted strip. The straightened adjusted strip is then packaged as a finished product, and the finished product integrity index corresponding to the packaged straightened strip is analyzed. Based on the finished product integrity index, a straightening and packaging report corresponding to the PET plastic steel strip roll is generated.

[0011] Optionally, constructing the multidimensional straightening matrix of the target plastic-steel belt in the multi-stage variable diameter roller group includes:

[0012] Analyze the core stress variables corresponding to the target plastic-steel strip;

[0013] Based on the core stress variables, generate the strip stress sequence corresponding to the target plastic-steel strip;

[0014] The strip stress sequence is divided into segmented stress windows by a sliding window.

[0015] The segmented stress windows are fused across domains to obtain fused stress blocks;

[0016] Identify the multidimensional properties of the blocks in the fusion stress blocks;

[0017] Based on the multidimensional attributes of the block, a multidimensional straightening matrix for the target plastic steel belt in a multi-stage variable diameter roller group is constructed.

[0018] Optionally, extracting the sickle curvature feature from the multidimensional straightening matrix includes:

[0019] Locate the continuous deformation interval corresponding to the multidimensional straightening matrix;

[0020] Extract the bending feature points in the continuous deformation range;

[0021] Query the valid measurement positions corresponding to the bending feature points;

[0022] Based on the preset curvature reference table, the curvature reference value in the effective measurement position is called;

[0023] Based on the curvature reference value, the sickle curvature feature in the multidimensional straightening matrix is ​​extracted.

[0024] Optionally, analyzing the deformation type corresponding to the target plastic-steel strip based on the sickle curvature characteristics includes:

[0025] Analyze the feature component weights corresponding to the sickle curvature feature;

[0026] Based on the weights of the characteristic components, the deformation contribution value corresponding to the target plastic steel strip is calculated;

[0027] Generate the dominant deformation sequence corresponding to the deformation contribution value;

[0028] Based on the dominant deformation sequence, the deformation type corresponding to the target plastic steel strip is analyzed.

[0029] Optionally, the step of implementing three-roll differential speed coordinated control and controllable heating compensation on the target plastic-steel strip based on the high-risk location to obtain a calibrated output strip includes:

[0030] Identify the core segment of the sickle bend corresponding to the high-risk location;

[0031] Mark the travel path position corresponding to the target plastic steel strip in the core section of the sickle bend;

[0032] Based on the travel path position, analyze the speed differential ratio of the target plastic steel belt under the three-roller differential speed coordinated control;

[0033] Based on the speed differential ratio, the zone compensation temperature of the preset controllable heating element is set;

[0034] Based on the partitioned compensation temperature, the target plastic steel strip is subjected to controllable heating compensation to obtain the calibrated output strip.

[0035] Optionally, the step of performing appearance inspection on the calibration output tape to obtain appearance inspection data includes:

[0036] Collect the strip image data corresponding to the calibration output strip;

[0037] Locate the key detection areas in the strip image data;

[0038] Retrieve the surface detail parameters corresponding to the key detection area;

[0039] Based on the surface detail parameters, the calibration output strip is subjected to appearance inspection to obtain appearance inspection data.

[0040] Optionally, the step of analyzing the strip plasticization trajectory corresponding to the calibration output strip based on the apparent detection data includes:

[0041] Divide the plasticization defect intervals corresponding to the appearance detection data;

[0042] Extract the abnormal plasticizing features from the plasticizing defect region;

[0043] Construct a plasticization trajectory mapping table corresponding to the aforementioned plasticization anomaly features;

[0044] Extract the plasticization level index from the plasticization trajectory mapping table;

[0045] Based on the plasticization level index, analyze the plasticization trajectory of the strip corresponding to the calibration output strip.

[0046] To address the above problems, the present invention also provides a PET plastic strapping straightening and packaging system, the system comprising:

[0047] The matrix construction module is used to acquire PET plastic steel strip rolls, analyze the stress distribution data corresponding to the PET plastic steel strip rolls, select the target plastic steel strips that need to be straightened in the PET plastic steel strip rolls based on the stress distribution data, and construct a multi-dimensional straightening matrix of the target plastic steel strips in the multi-stage variable diameter roller group.

[0048] The deformation index module is used to extract the sickle bending rate feature in the multidimensional straightening matrix, analyze the deformation type corresponding to the target plastic steel strip based on the sickle bending rate feature, analyze the sickle bending region under the deformation type, and calculate the deformation strength index corresponding to the sickle bending region.

[0049] The appearance inspection module is used to delineate high-risk areas in the preset straightening device based on the deformation strength index, implement three-roll differential speed coordinated control and controllable heating compensation on the target plastic steel belt based on the high-risk areas, obtain the calibration output belt, and perform appearance inspection on the calibration output belt to obtain appearance inspection data.

[0050] The straightening index module is used to analyze the strip plasticization trajectory corresponding to the calibration output strip based on the apparent test data, determine the straightening failure mode corresponding to the calibration output strip based on the strip plasticization trajectory, identify the straightening monitoring point in the straightening failure mode, and calculate the strip straightening index corresponding to the calibration output strip based on the straightening monitoring point.

[0051] The report generation module is used to straighten and adjust the calibration output strip based on the bending straightening index to obtain straightened and adjusted strip, package the straightened and adjusted strip into finished products, analyze the finished product integrity index corresponding to the packaged straightened strip, and generate a straightening and packaging report corresponding to the PET plastic steel strip roll based on the finished product integrity index.

[0052] Compared to the problems described in the background art, this invention, by acquiring PET plastic steel strip rolls and analyzing the stress distribution data corresponding to the PET plastic steel strip rolls, can accurately locate the stress anomaly areas inside the strip, providing data support for subsequent straightening and avoiding ineffective treatment of stress-free areas. Simultaneously, it can identify potential stress concentration risks in advance, laying the foundation for the formulation of targeted straightening schemes and reducing straightening deviations caused by unclear stress distribution from the source. This invention, by extracting the sickle curvature characteristics from the multi-dimensional straightening matrix, can accurately capture key deformation information of the target plastic steel strip's bending area, providing core basis for subsequent analysis of deformation types and delineation of high-risk areas. It can also eliminate irrelevant data interference, making straightening control more targeted, avoiding parameter mismatch caused by complex information, and improving the accuracy of straightening decisions. Furthermore, based on the deformation strength index, this invention delineates high-risk areas in the preset straightening device. This invention allows for focused straightening of areas prone to severe deformation and equipment malfunction, preventing improper application of straightening force, optimizing the straightening process, and making the device operation more closely match the actual deformation of the PET strip, thus improving straightening accuracy and equipment stability. Furthermore, based on the surface detection data, this invention analyzes the plasticization trajectory of the calibrated output strip, revealing the dynamic changes in material plasticization during the straightening process and accurately linking the intrinsic relationship between the surface state and the degree of plasticization. It can verify the control effect of straightening parameters on material plasticization, providing a deeper basis for optimizing heating compensation and differential speed control. Finally, based on the bending straightening index, this invention performs straightening control on the calibrated output strip, obtaining a straightened controlled strip. This accurately quantifies the straightening quality of the strip, providing clear data guidance for control, making the straightening operation more targeted, dynamically adapting to the actual state of the strip, promptly correcting minor deviations, and ensuring continuous and stable straightening accuracy. Therefore, the PET PET strip straightening and packaging method and system provided in this embodiment can improve the straightening and packaging quality of PET PET strip products. Attached Figure Description

[0053] Figure 1 This is a schematic flowchart illustrating a method for straightening and packaging finished PET plastic steel strapping according to an embodiment of the present invention.

[0054] Figure 2 This is a sample distribution diagram of the bending amount of the steel sickle in a method for straightening and packaging PET plastic steel strapping products according to an embodiment of the present invention;

[0055] Figure 3 This is a schematic diagram of a module for implementing a PET plastic steel strapping straightening and packaging system according to an embodiment of the present invention.

[0056] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0057] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0058] This application provides a method for straightening and packaging finished PET plastic steel strapping. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for straightening and packaging finished PET plastic steel strapping can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0059] Example 1 Reference Figure 1 The diagram shown is a flowchart illustrating a method for straightening and packaging finished PET plastic strapping according to an embodiment of the present invention. In this embodiment, the method for straightening and packaging finished PET plastic strapping includes:

[0060] S1. Obtain PET plastic steel strip rolls, analyze the stress distribution data corresponding to the PET plastic steel strip rolls, and based on the stress distribution data, select the target plastic steel strips that need to be straightened in the PET plastic steel strip rolls, and construct a multi-dimensional straightening matrix of the target plastic steel strips in the multi-stage variable diameter roller group.

[0061] This invention obtains PET plastic steel strip rolls and analyzes the stress distribution data corresponding to the PET plastic steel strip rolls. It can accurately locate the stress abnormal areas inside the strip, providing data support for subsequent straightening and avoiding ineffective treatment of stress-free areas. At the same time, it can identify potential stress concentration risks in advance, laying the foundation for the formulation of targeted straightening schemes and reducing straightening deviations caused by unclear stress distribution from the source.

[0062] The PET plastic steel strapping roll refers to a strip product made primarily of polyethylene terephthalate (PET) through processes such as melt extrusion and directional stretching. It is packaged in rolls and features high strength and weather resistance. It is commonly used for bundling and securing in logistics and packaging. Its width is generally 10-35mm, thickness 0.4-1.5mm, and single roll length can reach hundreds of meters. For example, a roll with a width of 25mm, a thickness of 0.9mm, a core diameter of 80mm, a total roll diameter of 280mm, and a total length of 600m can meet the bulk bundling needs of medium-sized goods. The stress distribution data refers to data obtained through professional inspection... Quantitative information obtained by measuring equipment (such as an infrared stress meter) reflects the magnitude, direction, and distribution characteristics of internal stress in different parts of PET plastic steel strip rolls. This information can reflect stress differences caused by uneven cooling and tensile differences during the production process. For example, a test on a roll showed that there was transverse compressive stress of 65 MPa in a local area 3 mm from the edge, while the stress in the middle area was more balanced, at about 28 MPa. These data can accurately present the location and intensity of stress concentration. Optionally, the analysis of the stress distribution data corresponding to the PET plastic steel strip roll can be achieved by the finite element analysis method, such as using ANSYS Mechanical software to simulate the stress distribution of the roll during the thermoforming process, thereby obtaining stress distribution data.

[0063] Furthermore, based on the stress distribution data, the present invention selects the target PET strips that need to be straightened from the PET strip rolls, which can accurately identify the strips with abnormal stress or deformation problems, avoid ineffective treatment of qualified strips, greatly improve straightening efficiency, and allow subsequent straightening resources to be concentrated on key areas, reducing material damage caused by blind straightening and laying the foundation for accurate straightening.

[0064] The target PET plastic steel strip refers to the PET plastic steel strip selected from the PET plastic steel strip roll based on stress distribution data. These strips exhibit significant stress anomalies or deformation defects and require straightening to meet the finished product requirements. Such strips often have problems such as camber and local bending due to uneven internal stress distribution. Direct use would affect the packaging effect. For example, if a section of PET plastic steel strip in the roll has a concentrated area of ​​68MPa transverse compressive stress 4mm from one edge and a single-sided bend with a maximum offset of 2.5mm within a 2m length, this section is a target PET plastic steel strip that needs straightening. Optionally, the selection of target PET plastic steel strips that need straightening from the PET plastic steel strip roll can be based on the stress distribution data, setting a stress threshold (such as transverse compressive stress > 50MPa or longitudinal tensile stress > 40MPa), and selecting sections with stress values ​​exceeding the threshold as target PET plastic steel strips that need straightening.

[0065] Furthermore, by constructing a multidimensional straightening matrix for the target plastic steel strip in a multi-stage variable diameter roller group, this invention can systematically integrate the correlation between strip characteristics and roller group parameters, providing a precise parameter framework for the straightening process. This enables differentiated treatment of different deformation regions, avoids the limitations of single parameter control, provides a scientific basis for subsequent dynamic straightening control, and improves the accuracy and stability of straightening.

[0066] The multi-stage variable diameter roller group refers to a linkage device composed of multiple straightening rollers with successively varying diameters. The diameter, spacing, and rotational speed of each roller can be independently adjusted. Through multi-stage synergistic action, it achieves progressive straightening of the plastic-coated steel strip. It can apply differentiated forces at different stages according to the strip's deformation characteristics, gradually correcting bending or stress concentration problems. For example, a multi-stage variable diameter roller group contains five rollers with diameters of 80mm, 70mm, 65mm, 60mm, and 55mm respectively, and adjacent roller spacings of 120mm, 100mm, and... 90mm and 80mm can be used to segment and adjust the straightening of strips with different degrees of curvature. The multi-dimensional straightening matrix is ​​a matrix constructed with fusion stress blocks as rows and straightening control parameters as columns. The matrix elements are the optimal straightening parameter values ​​for the corresponding blocks, which can realize differentiated and precise control of different blocks. For example, the matrix rows represent 5 fusion stress blocks, and the columns include parameters such as roller diameter, speed, pressure, and heating temperature. The element in the 3rd row and 2nd column is "speed 350rpm", which means that the block needs to be straightened with a roller group speed of 350rpm.

[0067] As an embodiment of the present invention, the construction of the multidimensional straightening matrix of the target plastic steel strip in the multi-stage variable diameter roller group includes: analyzing the core stress variables corresponding to the target plastic steel strip; generating the strip stress sequence corresponding to the target plastic steel strip based on the core stress variables; performing sliding window segmentation on the strip stress sequence to obtain segmented stress windows; performing cross-domain fusion on the segmented stress windows to obtain fused stress blocks; identifying the multidimensional attributes of the blocks in the fused stress blocks; and constructing the multidimensional straightening matrix of the target plastic steel strip in the multi-stage variable diameter roller group based on the multidimensional attributes of the blocks.

[0068] The core stress variables refer to key parameters that directly reflect the internal stress state of the target PVC strip and play a decisive role in the straightening effect. These include stress magnitude, stress direction, and stress gradient. These variables are the core basis for determining whether the strip needs straightening and formulating a straightening strategy. For example, if the target PVC strip has a longitudinal tensile stress of 45 MPa, a transverse compressive stress of 52 MPa, and a stress gradient of 8 MPa / mm, these parameters are the core stress variables of the strip. The strip stress sequence refers to a continuous data sequence formed by arranging the core stress variables collected along the length of the target PVC strip at preset intervals in the order of collection. This sequence can completely present the distribution trend of the strip stress along the length. For example, for a 10m long target PVC strip, a set of core stress variables is collected every 50mm, resulting in 200 sets of data. Arranging these data in the order of collection forms the strip stress sequence. The segmented stress window refers to using a sliding window algorithm to divide the strip stress sequence into several continuous sub-sequence segments with partial overlap. Each segment contains a certain amount of stress data, which can be used to analyze the stress characteristics of local areas of the strip. For example, a window is set to contain 20 data points (corresponding to a strip length of 1m), and the sliding step size is 10 data points (corresponding to a strip length of 0.5m). After segmenting a stress sequence containing 200 data points, 19 segmented stress windows can be obtained. The fused stress block refers to a region unit formed by cross-window data fusion of adjacent segmented stress windows with similar stress characteristics. This can eliminate the locality of window segmentation and more accurately reflect the stress distribution characteristics of continuous strip regions. For example, the average stresses of three adjacent segmented stress windows are 48MPa and 50MPa, respectively. The stresses, with an average stress of 51 MPa and a consistent stress direction, are merged into a 3-meter-long fusion stress block. The average stress within the block is 49.7 MPa. The multidimensional attributes of this block refer to a set of parameters extracted from the fusion stress block that describe its characteristics in multiple dimensions, including the block's location, length, average stress value, maximum stress value, stress variation coefficient, and associated bending curvature. For example, a fusion stress block located 2-5 meters from the strip, with a length of 3 meters, an average stress of 55 MPa, a maximum stress of 68 MPa, a stress variation coefficient of 0.12, and a corresponding area with a sickle-like bending rate... .

[0069] Furthermore, the core stress variables corresponding to the target PVC strip can be extracted from the stress distribution data, including the maximum principal stress, stress gradient, and stress direction angle, and obtained directly through finite element analysis software (such as ANSYS) or a stress distribution instrument. The generation of the strip stress sequence corresponding to the target PVC strip can be achieved through time-series modeling methods, such as using Python's NumPy library to serialize and store the stress values ​​of continuously sampled points, thus obtaining the strip stress sequence. The sliding window segmentation of the strip stress sequence can be achieved through a dynamic window algorithm, such as using the rolling function of the Pandas library to extract stress values ​​at a set step size. Based on the fragments, segmented stress windows are obtained; the cross-domain fusion of the segmented stress windows can be achieved through feature fusion methods, such as using TensorFlow's concat operation to splice time-domain and frequency-domain features to obtain fused stress blocks; the identification of multidimensional attributes of blocks in the fused stress blocks can be achieved through principal component analysis methods, such as using Scikit-learn's PCA module to reduce dimensionality and extract key stress features to obtain multidimensional attributes of blocks; the construction of the multidimensional straightening matrix of the target plastic steel belt in the multi-stage variable diameter roller group can be achieved through tensor operation methods, such as using PyTorch to construct a three-dimensional stress-roller diameter-pressure mapping network to obtain the multidimensional straightening matrix.

[0070] In detail, the multidimensional straightening matrix is ​​a second-order tensor, whose row vectors represent different fusion stress blocks, and column vectors represent the recommended pressure and speed parameters of the block at each roll position in the multi-stage variable diameter roll group. This matrix serves as the input data for deformation analysis.

[0071] S2. Extract the sickle curvature feature from the multidimensional straightening matrix. Based on the sickle curvature feature, analyze the deformation type corresponding to the target plastic steel strip, analyze the sickle bend region under the deformation type, and calculate the deformation strength index corresponding to the sickle bend region.

[0072] This invention extracts the sickle curvature feature from the multidimensional straightening matrix, which can accurately capture the key deformation information of the target plastic steel strip bending area, providing a core basis for subsequent analysis of deformation type and delineation of high-risk areas. It can also remove irrelevant data interference, making straightening control more targeted, avoiding parameter mismatch caused by complex information, and improving the accuracy of straightening decisions.

[0073] The sickle curvature feature refers to the set of features extracted from the curvature values, distribution density, direction, and deviations from the reference values ​​of bending feature points within the continuous deformation interval of each fused stress block in the multidimensional straightening matrix. This feature can quantitatively characterize the morphology and severity of the sickle bend. For example, within a certain continuous deformation interval, the sickle curvature ranges from 0.006 to 0.009. Between these points, the distribution density is 3 feature points per meter, all of which curve to the right, deviating from the benchmark value by 40%. These parameters together constitute the sickle curvature characteristic of this interval.

[0074] As an embodiment of the present invention, the step of extracting the sickle curvature feature in the multidimensional straightening matrix includes: locating the continuous deformation interval corresponding to the multidimensional straightening matrix; extracting the curvature feature points in the continuous deformation interval; querying the valid measurement position corresponding to the curvature feature point; calling the curvature reference value in the valid measurement position based on the preset curvature reference table; and extracting the sickle curvature feature in the multidimensional straightening matrix based on the curvature reference value.

[0075] The continuous deformation interval refers to the region in the multidimensional straightening matrix where the deformation characteristics of the target plastic steel strip are continuously distributed along its length. Within this region, parameters such as bending and stress exhibit consistent changes without significant abrupt changes, serving as the basic unit for analyzing the overall deformation trend. For example, if, within the target plastic steel strip, the camber deformation gradually increases from 0.8mm to 2.3mm and then decreases to 1.1mm within a length range of 1.2m to 3.8m, with stress fluctuations less than 5MPa, this 2.6m length region constitutes the continuous deformation interval. The bending feature point refers to the key point within the continuous deformation interval where the degree of bending or stress state undergoes significant changes. These are the core nodes characterizing the most severe deformation or turning points, and can be used to accurately locate key deformation areas. For example, in the aforementioned continuous deformation interval from 1.2m to 3.8m, the camber deformation reaches its maximum value of 2.3mm at 2.5m, corresponding to a stress value of... The pressure suddenly increased to 62 MPa, and this point is a typical bending characteristic point. The effective measurement position refers to the measurement location that can accurately collect the deformation and stress data corresponding to the bending characteristic point. These positions have been calibrated and verified, and the data accuracy meets the analysis requirements, serving as a reliable basis for feature extraction. For example, three measurement positions are set at 2mm, 4mm, and 6mm from the edge in the strip width direction. After verification, their measurement error is less than 0.05mm. Among them, the measurement position at 4mm from the edge can stably capture the bending characteristic point data, which is the effective measurement position. The curvature reference value refers to the standard curvature range value that matches the target plastic steel strip specifications (such as width and thickness) in the preset curvature reference table. It is used to determine whether the actual bending exceeds the allowable range and serves as a reference benchmark for extracting the sickle bending rate feature. For example, for a plastic steel strip with a width of 25mm and a thickness of 0.9mm, its sickle bending rate reference value is set to 0.002-0.005. If it exceeds this range, it needs to be calibrated carefully.

[0076] Furthermore, locating the continuous deformation interval corresponding to the multidimensional straightening matrix can be achieved through clustering analysis methods, such as using the DBSCAN algorithm of Scikit-learn to identify densely distributed areas of stress data, thereby obtaining the continuous deformation interval; extracting bending feature points in the continuous deformation interval can be achieved through extreme value detection methods, such as using the find_peaks function of SciPy to capture the inflection point position of the stress curve, thereby obtaining the bending feature points; querying the effective measurement position corresponding to the bending feature point can be achieved through spatial indexing methods, such as quickly matching the physical coordinates of the feature point in the roll group based on the KDTree data structure, thereby obtaining the effective measurement position; calling the curvature reference value in the effective measurement position can be achieved through database retrieval methods, such as retrieving the standard curvature value of the corresponding measurement position from the preset process parameter table through an SQL query statement, thereby obtaining the curvature reference value; extracting the sickle bending rate feature in the multidimensional straightening matrix can be achieved through morphological analysis methods, such as using the contour detection algorithm of OpenCV to calculate the asymmetric curvature distribution of the strip edge, thereby obtaining the sickle bending rate feature.

[0077] Based on the camber rate characteristics, this invention analyzes the deformation type of the target plastic steel strip, which can accurately distinguish different types of bending problems, such as local camber at the edge and unilateral bending in the middle section. This provides a clear direction for subsequent targeted straightening, avoids over- or under-straightening caused by using a uniform straightening strategy, and makes the straightening parameters more compatible with the actual deformation characteristics, thereby improving the effectiveness of the straightening scheme.

[0078] The deformation type refers to the classification of the bending shape based on the dominant deformation sequence and the actual morphological characteristics of the plastic steel strip. This classification is used to clarify the key direction of the straightening process. For example, if the dominant deformation sequence is "maximum curvature (edge ​​area) → distribution length (<0.5m)", the corresponding deformation type can be defined as "local high-strength sickle bend at the edge", and a straightening force needs to be applied to a small area at the edge.

[0079] As an embodiment of the present invention, the step of analyzing the deformation type corresponding to the target plastic steel strip based on the sickle curvature characteristic includes: parsing the feature component weights corresponding to the sickle curvature characteristic; calculating the deformation contribution value corresponding to the target plastic steel strip based on the feature component weights; generating the dominant deformation sequence corresponding to the deformation contribution value; and analyzing the deformation type corresponding to the target plastic steel strip based on the dominant deformation sequence.

[0080] The feature component weights refer to the proportion of importance of each component constituting the sickle curvature feature (such as maximum curvature, distribution length, and bending direction) in deformation analysis. They are used to quantify the influence of different features on the overall deformation. For example, in a certain sickle curvature feature, the weight of maximum curvature is 0.4, the weight of distribution length is 0.35, and the weight of bending direction is 0.25; these three together constitute the feature component weight system. The deformation contribution value refers to the value obtained by multiplying the actual measured value of each component in the sickle curvature feature by its corresponding feature component weight. This value is used to quantify the actual contribution of each feature component to the deformation of the target plastic-steel strip. For example, if the maximum curvature in the feature component is 0.008... With a weight of 0.4, the deformation contribution value is 0.008 × 0.4 = 0.0032; with a distribution length of 1.5m and a weight of 0.35, the contribution value is 1.5 × 0.35 = 0.525. The dominant deformation sequence refers to the sequence formed by sorting the characteristic components according to the magnitude of the deformation contribution value, where the components with larger contribution values ​​are ranked first, which can intuitively reflect the main factors causing the deformation of the target plastic steel strip. For example, if the deformation contribution value of the target plastic steel strip is: maximum curvature (0.0032) > distribution length (0.525) > bending direction (0.12), then its dominant deformation sequence is "maximum curvature → distribution length → bending direction".

[0081] Furthermore, the analysis of the feature component weights corresponding to the sickle curvature feature can be achieved through the entropy method, such as using Python's SciPy library to calculate the curvature feature information entropy and assign weight coefficients to obtain the feature component weights; the calculation of the deformation contribution value corresponding to the target PVC strip can be achieved through the variance analysis method, such as using the ANOVA module of the Statsmodels library to quantify the contribution ratio of different bending directions to the total deformation, thereby obtaining the deformation contribution value; the generation of the dominant deformation sequence corresponding to the deformation contribution value can be achieved through the sorting and filtering method, such as using NumPy's argsort function to extract key deformation nodes in descending order of contribution value, thereby obtaining the dominant deformation sequence; the analysis of the deformation type corresponding to the target PVC strip can be achieved through the pattern recognition method, such as using Scikit-learn's SVM classifier to determine the sickle / wave bend type based on the curvature distribution characteristics, thereby obtaining the deformation type.

[0082] This invention, by analyzing the sickle-shaped region under the aforementioned deformation type, can accurately pinpoint the specific parts of the target plastic steel strip that require key straightening, clarify the straightening range and core area, avoid blindness in the straightening process, and make subsequent straightening control measures more targeted. It ensures that the straightening force and compensation methods are accurately applied to the key area, improves straightening efficiency and quality, and provides a clear target for subsequent parameter optimization.

[0083] The sickle-shaped bend region refers to a specific section within the target plastic-steel strip that exhibits a clear deformation type and sickle-shaped bend characteristics. Within this region, the strip exhibits significant localized bending on one side, and the stress distribution differs markedly from the surrounding area. This is a core area requiring close attention during straightening. Its boundary can be precisely defined by the bending start point, end point, and maximum bending position, clearly reflecting the spatial distribution range of the bend. For example, in the "locally high-strength sickle-shaped bend at the edge" deformation type of the target plastic-steel strip, the sickle-shaped bend region begins at 2.1m and ends at 3.7m, with a length of 1.6m, a maximum bending offset of 2.5mm, and a stress concentration value 18MPa higher than the surrounding area. Optionally, the analysis of the sickle-shaped bend region under this deformation type can be achieved using an image segmentation algorithm, such as using a U-Net neural network model to segment the surface image of the plastic-steel strip to obtain the sickle-shaped bend region.

[0084] Furthermore, by calculating the deformation intensity index corresponding to the sickle-shaped region, this invention can quantify the severity of bending deformation and stress concentration level in that region, providing a quantifiable basis for setting straightening parameters. This avoids inaccurate control due to experience-based judgment, accurately distinguishes the straightening requirement levels of different regions, and makes the intensity and scope of subsequent straightening measures more consistent with the actual deformation situation, thereby improving the accuracy of straightening control.

[0085] The deformation intensity index is a dimensionless index used to quantify the degree of deformation in a region, obtained through integral calculation by comprehensively considering factors such as the length of the sickle-shaped bend region, the elasticity, thickness, and curvature distribution of the plastic steel strip material. It reflects the cumulative effect of deformation within the region; a larger value indicates more intense deformation. For example, if the length of the sickle-shaped bend region L = 2m, the elastic modulus E = 2GPa (i.e., 2 × 10⁻⁶ m). Pa), thickness h = 0.003 m, curvature function k(s) averages 0.5 over the region. Curvature correction factor =1.2, substituting into the formula, we can get If the calculated result is 150, it indicates that the deformation intensity of the region is at the corresponding level, and the deformation intensity index is... The range of values ​​corresponds to the deformation level, for example: <100: Slight deformation, no straightening required; 100< <200: Moderate deformation, requires general straightening; ≥200: Severe deformation, requiring high-strength straightening.

[0086] As an embodiment of the present invention, the calculation of the deformation intensity index corresponding to the sickle-shaped region includes:

[0087] The deformation strength index corresponding to the sickle-shaped region is calculated using the following formula: ;

[0088] in, This represents the deformation strength index corresponding to the sickle-shaped bend region. This represents the total length of the sickle-shaped region. This represents the elastic modulus of the target plastic-steel strip. This indicates the thickness of the target plastic-steel strip. This represents the sickle bending rate function. This represents the path position variable along the sickle-shaped region. This represents the curvature correction factor. Represents the differential element of arc length.

[0089] The above calculation formula is merely one calculation method of the present invention, and it does not affect the implementation of embodiments that do not include this deformation strength index calculation method.

[0090] In detail, the elastic modulus refers to a physical quantity that measures the ability of a target plastic steel strip material to resist elastic deformation. It reflects the ratio of stress to strain in the elastic stage of the material, and its dimension is Pa (e.g., Pa, GPa). Different materials have different elastic moduli. For example, the elastic modulus of commonly used plastic steel strip materials may be 2.5 GPa, meaning that applying 1 Pa of stress to this material will produce 1 ÷ 2.5 × The elastic strain. If the elastic modulus of a plastic steel strip is E = 3 GPa (i.e., 3 × When subjected to external force and strain, the stress can be calculated according to Hooke's Law σ=Eε (σ is stress, ε is strain). The sickle curvature function refers to the real-time curvature function along the path position s. By measuring the curvature profile of the strip edge using a laser rangefinder or image processing technology, k(s) = 1 / R(s) is fitted, where R(s) is the radius of curvature, representing the degree of curvature per unit length. For example, in a certain segment of the sickle curve region, s ranges from 0 to 1m, and k(s) is a function that first increases and then decreases, such as k(s) = 0.3s - 0.05. (This is just an example function.) When s = 0.5m, The curvature value corresponds to the rate of change of angle per meter of curvature at that location. The path position variable refers to a scalar quantity, in meters (m), used to determine the location of a specific measurement or calculation point along the arc length of the sickle-shaped region. Its value ranges from 0 to the total length L of the sickle-shaped region. For example, if the total length L = 3m, when studying deformation-related parameters at a distance of 1.2m from the starting point, s = 1.2m. This allows for the location of any specific point within the region to analyze parameters such as curvature. The curvature correction factor is a dimensionless coefficient used to correct the theoretical curvature based on actual conditions (such as material inhomogeneity and measurement errors). Since there is a deviation between theoretically calculated curvature and actual curvature, the curvature correction factor allows the calculation to better reflect reality. For example, theoretically, the curvature is calculated based on the geometric shape, but in practice, due to local density differences in the material, a more accurate calculation is needed. =1.1 correction, the actual equivalent curvature is included in the calculation after correction, making the result more accurate; the arc length differential element refers to the length of each tiny segment after the arc length of the sickle-shaped region is infinitely subdivided, with the dimension of m. It is used to accumulate the deformation effect of the entire region in the integral operation. For example, the sickle-shaped region with a total length of L=4m is subdivided into countless ds, each ds approaching 0. By integrating ds from 0 to L, the deformation contribution of each tiny segment in the region can be accumulated to obtain the overall deformation intensity index.

[0091] Specifically, for a more intuitive understanding of the characteristic distribution and data patterns corresponding to the steel strip camber analysis in this scheme, please refer to [reference needed]. Figure 2 Distribution diagram of the bending amount of the steel sickle in the sample. Figure 2 This figure illustrates the statistical distribution of bending amount in steel strip sickles. The horizontal axis represents bending amount (unit: mm / m), and the vertical axis represents sample frequency. This graph is used to determine the common range and abnormal threshold of bending amount, providing data support for the classification of deformation strength index. Figure 2 This chart serves as a key data visualization tool for analyzing strip deformation characteristics, clearly presenting the sample distribution of strip bending amount: the horizontal axis focuses on the bending amount value, which is the core dimension for measuring the degree of bending; the vertical axis corresponds to the sample size, reflecting the frequency of different bending amounts; the overall distribution pattern intuitively shows the concentration trend and dispersion of bending amount in strip production, such as dense sample size in the low bending amount range and sparse sample size in the high bending amount range. It should be noted that the distribution chart presents the sample statistical results. In actual scenarios, the bending amount is dynamically affected by complex factors such as production process (rolling parameters, straightening control), material properties, etc. The correlation of data generation (such as the nonlinear relationship between rolling pressure and bending amount) and the diversity of fluctuations (differences in the distribution of bending amount of different batches of strip steel) are far greater than what is shown in the chart. This chart is only a concise display of the characteristic distribution pattern, providing an intuitive reference for understanding the quantitative approach to strip bending characteristic analysis.

[0092] S3. Based on the deformation strength index, high-risk areas in the preset straightening device are defined. Based on the high-risk areas, three-roll differential speed coordinated control and controllable heating compensation are implemented on the target plastic steel belt to obtain the calibration output belt. The calibration output belt is subjected to appearance inspection to obtain appearance inspection data.

[0093] In detail, the deformation strength index calculated in step S2 With preset threshold (e.g.) = 200, Compare with (=100). If >= If so, the area is determined to be a high-risk location, and a data set including the location, length, and... The instruction set for the value is sent to the control system of the calibration device.

[0094] Specifically, based on the deformation intensity index, the present invention delineates high-risk areas in the preset straightening device, allowing the straightening focus to be on areas with severe deformation that are prone to causing equipment malfunctions, avoiding improper application of straightening force, optimizing the straightening process, making the device operation more closely match the actual deformation of the plastic steel belt, and improving straightening accuracy and equipment stability.

[0095] The pre-designed straightening device refers to a pre-designed and configured equipment system with specific structure and functions for straightening the target plastic steel strip. It includes modules for mechanical transmission, pressure application, and deformation monitoring. The device can precisely control the straightening action based on the deformation data of the plastic steel strip. For example, for a sickle-shaped plastic steel strip, the device includes multiple straightening rollers spaced 0.5m apart with a roller diameter of 0.1m. It can control the roller spacing and pressure via a servo motor, combined with sensor feedback, to straighten the deformed plastic steel strip. For instance, it can reduce the curvature of a plastic steel strip with a curvature of 3mm / m to within 0.5mm / m through device control. The high-risk areas refer to critical parts or areas within the pre-designed straightening device that are prone to increased mechanical wear, decreased control accuracy, or even structural damage during straightening operations due to stress concentration and sudden load changes caused by the deformation strength index of the target plastic steel strip. For example, based on the deformation strength index... Based on the strip travel path and the structural model of the straightening device (such as roller group layout and stress analysis), the areas prone to stress concentration, such as roller shaft connections and bearing seats, are identified through finite element simulation or historical fault data heatmaps (such as MATLAB heatmaps) as high-risk areas.

[0096] Furthermore, based on the high-risk area, the present invention implements three-roll differential speed coordinated control and controllable heating compensation on the target plastic steel belt to obtain calibrated output belt material, which can accurately adapt to the deformation requirements of different parts and flexibly adjust the straightening force; combined with controllable heating compensation, it can optimize the material stress distribution and improve the stability of the straightening effect. Through the synergistic effect of the two, it can not only ensure the targeted treatment of high-risk areas, but also improve the overall calibration accuracy and efficiently produce high-quality calibration belt material.

[0097] The three-roller differential speed coordinated control refers to a control method that uses three rollers in a preset straightening device to independently control the speed of each roller based on the deformation characteristics of high-risk areas, creating a speed difference to apply differentiated forces. It utilizes the traction and friction generated by the speed difference between the rollers to adapt to the deformation requirements of different parts of the plastic steel belt, precisely correcting bends. For example, for a certain high-risk area, the upper roller speed is set to 10 m / s, the middle roller to 8 m / s, and the lower roller to 12 m / s, using the lateral and longitudinal forces generated by the speed difference to synergistically straighten the sickle-shaped bend area. The controllable heating compensation refers to a controllable method of heating specific areas of the plastic steel belt in a controlled manner based on the deformation intensity of the high-risk area, utilizing thermal expansion and contraction and material stress relaxation characteristics to compensate for deformation. Precise control of heating temperature (e.g., 80-120℃), range (e.g., a local 0.5m section), and duration (e.g., 10-30s) adjusts the internal stress distribution of the material, assisting in straightening. For example, heating severely deformed areas softens the material and releases stress, and mechanical force completes the calibration. The calibrated output strip refers to the target plastic steel strip that initially meets the straightening standard after being controlled by three-roll differential speed coordination and controllable heating compensation. Its deformation degree and stress distribution have been significantly improved, but further testing and verification are still required. For example, after processing, the bending offset of the core section of a certain strip decreases from 3.2mm to 0.5mm, the stress concentration factor decreases from 1.8 to 1.1, and the flatness error is ≤0.3mm / m, which is the calibrated output strip that meets the preliminary standard.

[0098] As an embodiment of the present invention, the step of implementing three-roll differential speed coordinated control and controllable heating compensation on the target plastic steel strip based on the high-risk location to obtain a calibrated output strip includes: identifying the sickle-shaped core section corresponding to the high-risk location; marking the travel path position of the target plastic steel strip in the sickle-shaped core section; analyzing the speed differential ratio of the target plastic steel strip under three-roll differential speed coordinated control based on the travel path position; setting the zone compensation temperature of the preset controllable heating element based on the speed differential ratio; and performing controllable heating compensation on the target plastic steel strip based on the zone compensation temperature to obtain a calibrated output strip.

[0099] The sickle-shaped core section refers to the key sub-section in the high-risk area where the sickle-shaped deformation is most severe and the stress concentration is most significant. It is the core target of the three-roller differential speed control and heating compensation. Its boundary is defined by the peak point of the deformation intensity index and adjacent significant change points, which can accurately locate the area with the highest straightening priority. For example, if the total length of the high-risk area is 3.2m, and the deformation intensity index of the 1.5-2.1m section reaches 180 (far exceeding the 90-120 of the surrounding area), and the maximum bending offset is 3.2mm, this 0.6m long section is the core section of the sickle bend. The travel path position refers to the real-time spatial coordinates of the core section of the sickle bend and other areas along the roller group of the device when the target plastic steel belt passes through the three-roller straightening device. It is used to locate the relative position of each part of the belt with respect to the roller group and heating elements. For example, when the belt travels at a speed of 0.8m / s, the front end of its core section of the sickle bend reaches the midpoint of the distance between the upper roller and the middle roller (coordinates X=2.5m, Y=0.3m) in the 10th second. This coordinate is the travel path position for this period of time, which can trigger the corresponding control command. The speed differential ratio refers to the differential speed coordinated control of the three rollers. The speed ratio of each roller to the reference roller (usually the middle roller) is used to quantify the speed difference between rollers to adapt to the deformation requirements of different sections. For example, for the core section of the sickle bend, the speed of the middle roller is set to 12m / min (reference value), the speed of the upper roller is 15m / min (ratio 1.25:1), and the speed of the lower roller is 9.6m / min (ratio 0.8:1). The 25% speed difference between the upper and lower rollers generates a lateral corrective force to accurately offset the bending stress. The zone compensation temperature refers to the differentiated temperature value set for different heating zones of the preset heating device according to the position of the travel path. It is used to implement precise heating compensation for the core section of the sickle bend and the surrounding area. For example, the heating device is divided into 3 zones distributed along the width of the strip. The middle zone corresponding to the core section is set to 105℃, and the two side zones are set to 85℃ (lower than the glass transition temperature of PET 120℃). The 10℃ temperature difference avoids excessive softening of the edges and releases the stress in the core area.

[0100] Furthermore, the identification of the sickle-shaped core segment corresponding to the high-risk area can be achieved through curvature extreme value detection methods, such as using the `find_peaks` function of Python's SciPy library to extract the maximum curvature fluctuation range, thereby obtaining the sickle-shaped core segment; the marking of the travel path position corresponding to the target plastic steel belt in the sickle-shaped core segment can be achieved through spatial coordinate mapping methods, such as using OpenCV's `solvePnP` algorithm to convert image coordinates into roller group mechanical coordinates, thereby obtaining the travel path position; the analysis of the speed differential ratio of the target plastic steel belt under three-roller differential speed coordinated control can be achieved through kinematic modeling methods, such as establishing a three-roller speed coupling relationship model through MATLAB's Simulink module, thereby obtaining the speed differential ratio; the setting of the zone compensation temperature of the preset controllable heating element can be based on the speed differential ratio. (Defined as the ratio of the speed difference between the upper, middle, and lower rollers to the average speed), combined with the material's thermal conductivity characteristics, using empirical formulas... Set the zone compensation temperature, where... Based on the base temperature, The temperature adjustment coefficient can be obtained through experimental calibration; the controllable heating compensation of the target plastic steel strip can be achieved by PID temperature control method, such as using PLC programming to realize closed-loop control of heating element temperature and strip travel speed, thereby obtaining calibrated output strip.

[0101] This invention obtains surface inspection data by performing surface inspection on the calibration output strip. This data can intuitively reflect the surface state and morphological regularity of the straightened strip, promptly verify whether the straightening effect meets the standards, quickly identify new defects that may occur during the straightening process, establish preliminary evaluation criteria for straightening quality, ensure that the appearance and morphology of the strip meet application requirements, and reduce the risk of defective products flowing into subsequent stages.

[0102] The appearance inspection data refers to the dataset formed by quantitatively evaluating the appearance quality of the calibrated strip after combining the strip image data and surface detail parameters. It includes specific indicators and judgment results for qualified and unqualified items. For example, the appearance inspection data of a certain strip shows that: the flatness qualification rate of the key area is 98%, the number of scratches exceeds the standard (≤1 allowed), and the edge perpendicularity meets the standard. The overall judgment is "local recalibration is required", which provides a clear basis for subsequent processing.

[0103] As an embodiment of the present invention, the step of performing appearance inspection on the calibration output strip to obtain appearance inspection data includes: acquiring strip image data corresponding to the calibration output strip; locating key detection areas in the strip image data; retrieving surface detail parameters corresponding to the key detection areas; and performing appearance inspection on the calibration output strip based on the surface detail parameters to obtain appearance inspection data.

[0104] The strip image data refers to a collection of digital images obtained by continuously photographing the calibrated output strip using a high-definition industrial camera (e.g., 20 megapixels), containing the strip's full surface morphology, edge contours, and potential defects. This data can present two-dimensional or three-dimensional visual information about the strip's appearance. For example, photographing a 25mm wide, 100m long strip at a frequency of 0.5 seconds per frame yields 200 frames of images with a resolution of 4096×2160, covering the complete appearance features of the strip's front and back sides and both edges; this constitutes the strip image data. The key detection area refers to specific areas delineated from the strip image data that require focused inspection. These typically include the area corresponding to the original sickle-shaped core section, easily damaged edge areas, and suspected areas prone to surface defects; these are the core of appearance inspection. The focus is on areas such as the 2.1-2.7m segment in the strip image where the original deformation strength index exceeds 150, and the edge band (2mm wide) 1-3mm from both sides. These areas are the key inspection areas requiring fine inspection. The surface detail parameters refer to the quantitative parameters extracted from the key inspection areas that describe the micro and macro characteristics of the strip surface, including surface flatness, defect size (such as scratch length and indentation depth), and edge perpendicularity. For example, the surface detail parameters of a certain key inspection area are: flatness error 0.15mm / m, two fine scratches with lengths of 3mm and 5mm respectively (depth ≤0.02mm), and edge perpendicularity deviation 0.08mm. These parameters can accurately reflect the surface quality.

[0105] Furthermore, the acquisition of strip image data corresponding to the calibration output strip can be achieved through linear scan imaging methods, such as using a Basler ace series industrial camera with an LED linear light source for high-speed image acquisition to obtain strip image data; the location of key detection areas in the strip image data can be achieved through target detection algorithms, such as using a YOLOv5 model to locate and identify surface defect areas of the strip to obtain key detection areas; the retrieval of surface detail parameters corresponding to the key detection areas can be achieved through digital image processing methods, such as using the measure_pos tool in Halcon software to measure the scratch width and depth parameters to obtain surface detail parameters; the appearance inspection of the calibration output strip can be achieved through deep learning classification methods, such as using a ResNet50 neural network to intelligently classify and evaluate defect types to obtain appearance inspection data.

[0106] It is known that after receiving the instruction set, the system queries a preset control strategy library based on the location information it contains. This strategy library has a mapping table structure, using the deformation intensity index range and deformation type as keys, and the corresponding three-roll speed differential ratio [Vupper, Vmiddle, Vlower] and heating temperature T as values. The value and deformation type are used to retrieve specific speed and temperature parameters, which are then sent to the execution unit.

[0107] S4. Based on the apparent detection data, analyze the strip plasticization trajectory corresponding to the calibration output strip, determine the straightening failure mode corresponding to the calibration output strip based on the strip plasticization trajectory, identify the straightening monitoring point in the straightening failure mode, and calculate the strip straightening index corresponding to the calibration output strip based on the straightening monitoring point.

[0108] In detail, the calibration strip output in step S3 is subjected to surface inspection. The obtained image data is coordinate registered with the location information of the sickle-shaped area determined in step S2. Surface detail parameters (such as scratches and bumps) are extracted for these specific areas to form a defect dataset bound to the spatial location. The strip plasticization trajectory is obtained by analyzing the distribution, density and type of defects in the defect dataset to deduce the heating and stress history (plasticization process) experienced by the strip during the straightening process.

[0109] Specifically, based on the apparent detection data, this invention analyzes the plasticization trajectory of the calibrated output strip, revealing the dynamic changes in material plasticization during the straightening process and accurately linking the intrinsic relationship between the apparent state and the degree of plasticization. It can also verify the control effect of straightening parameters on material plasticization, providing a deeper basis for optimizing heating compensation and differential speed control.

[0110] The plasticizing trajectory of the strip refers to the dynamic path of the strip's plasticizing state as it changes with time, position, and control parameters from entering the straightening device to output. It can be characterized by the continuous change of plasticizing level indicators. For example, if the plasticizing trajectory of the strip is: the initial stage (0-2m) level is "medium", after parameter adjustment (2-8m) it rises to "good", and only briefly drops to "medium" at 5-5.5m due to temperature fluctuations, the overall trajectory shows a gradually optimized characteristic.

[0111] As an embodiment of the present invention, the step of analyzing the plasticization trajectory of the calibration output strip based on the appearance detection data includes: dividing the plasticization defect intervals corresponding to the appearance detection data; extracting the plasticization anomaly features in the plasticization defect intervals; constructing a plasticization trajectory mapping table corresponding to the plasticization anomaly features; extracting the plasticization level index in the plasticization trajectory mapping table; and analyzing the plasticization trajectory of the calibration output strip based on the plasticization level index.

[0112] The plasticization defect range refers to a continuous area in the surface inspection data where defects appear on the strip due to abnormal plasticization. The degree of plasticization within this range deviates from the standard range, and the defect characteristics exhibit continuity. For example, the surface inspection data of a certain calibrated strip shows continuous bubbles and localized hardening from 3.5m to 5.2m, with a bubble density of 3 bubbles / 10cm², and the hardness of the hardened area is 15HD higher than the standard value. This 1.7m long area is the plasticization defect range. The abnormal plasticization characteristics refer to specific characteristic parameters extracted from the plasticization defect range that characterize the abnormal plasticization process, including defect type (such as bubbles, scorch marks), distribution density, size, and corresponding material property deviations. For example, the abnormal characteristics of a certain plasticization defect range are: distributed bubbles with a diameter of 0.8-1.2mm (average density 2.5 bubbles / cm²), and a local melt index that is 1.2g / 10g lower than the standard value. These characteristics directly reflect the degree of uneven plasticization. The plasticization trajectory mapping table is a table that establishes a correspondence between abnormal plasticization characteristics and parameter change trajectories of the strip during heating compensation and differential speed control. It is used to trace the causes of abnormal plasticization. For example, the left side of the table lists abnormal characteristics such as "bubble density > 2 / cm²", and the right side corresponds to parameter trajectories such as "heating temperature fluctuation ±8℃" and "roller speed difference instantaneously exceeding 5%", which can intuitively present the mapping relationship between characteristics and parameters. The plasticization level index is a quantitative index that classifies the plasticization quality of the strip according to its degree of excellence based on the plasticization trajectory mapping table. It is usually divided into four levels: excellent, good, medium, and poor. Each level corresponds to a specific number of defects and a performance deviation range. For example, the "excellent" level index requires a bubble count ≤ 0.3 / cm² and a melt index deviation ≤ 0.5g / 10min; the "poor" level corresponds to a bubble density > 2 / cm² and a deviation > 1.5g / 10min.

[0113] Furthermore, the division of the plasticizing defect intervals corresponding to the apparent detection data can be achieved through clustering analysis methods, such as using the KMeans algorithm of Scikit-learn to automatically cluster and group the defect features to obtain the plasticizing defect intervals; the extraction of plasticizing anomaly features in the plasticizing defect intervals can be achieved through feature engineering methods, such as using the PCA principal component analysis algorithm to reduce dimensionality and extract key defect feature vectors to obtain plasticizing anomaly features; the construction of the plasticizing trajectory mapping table corresponding to the plasticizing anomaly features can be achieved through spatiotemporal mapping methods, such as using the meshgrid function of MATLAB to generate a three-dimensional defect distribution heatmap to obtain the plasticizing trajectory mapping table; the extraction of plasticizing level indicators in the plasticizing trajectory mapping table can be achieved through quantitative statistical methods, such as using the groupby function of Pandas to calculate the defect density index of each region to obtain the plasticizing level index; the analysis of the strip plasticizing trajectory corresponding to the calibration output strip can be achieved through time series analysis methods, such as using an LSTM neural network to predict the defect development trend to obtain the strip plasticizing trajectory.

[0114] Based on the plasticization trajectory of the strip, this invention determines the straightening failure mode corresponding to the calibration output strip and identifies the straightening monitoring point in the straightening failure mode. It can accurately locate the key links and potential risk points that lead to failure during the straightening process, track the changes of key parameters in real time, ensure the stable operation of the straightening system, provide targeted basis for subsequent straightening scheme optimization, and reduce the probability of failure from the root.

[0115] The straightening failure mode refers to a typical failure type derived from strip plasticization trajectory analysis that causes the calibrated strip output to fail to meet the preset straightening standard. It reflects the mismatch between parameter control and material response during the straightening process, including specific failure manifestations, causes, and impact range. It can be used to classify abnormal states of the straightening system. For example, a strip plasticization trajectory shows that in the 5-6m section, a sudden drop of 15℃ in heating temperature causes the plasticization level to fall from "good" to "poor," manifested as a sickle-shaped springback exceeding 0.8mm / m; this is the "temperature fluctuation-induced springback failure mode." The straightening monitoring point refers to a specific location set on the preset straightening device and strip path for real-time acquisition of key parameters, targeting the straightening failure mode. This can accurately capture abnormal signals that may cause failure. These points need to cover key aspects such as heating, transmission, and deformation detection. For example, for the aforementioned springback failure mode, a temperature monitoring point (sampling frequency 10Hz) is set 10cm from the heating element outlet, and a curvature monitoring point (accuracy 0.01mm / m) is set 20cm after the three-roll assembly. These are the core straightening monitoring points. Optionally, the determination of the straightening failure mode corresponding to the calibration output strip can be achieved through failure mode analysis methods, such as using FMEA (Failure Mode and Effects Analysis) tools to evaluate the failure mechanism of various defects, thereby obtaining the straightening failure mode. The identification of the straightening monitoring points in the straightening failure mode can be achieved through key point detection algorithms, such as using the Harris corner detection method to locate the strip deformation abrupt change area, thereby obtaining the straightening monitoring points.

[0116] Based on the straightening monitoring points, this invention calculates the straightening index of the output strip, which can quantitatively evaluate the straightening quality and stability of the output strip, providing a comparable numerical basis for the straightening effect. The index change can reflect the operating status of the straightening system in real time, ensuring that the straightening accuracy of the strip continuously meets the standard and improving the controllability of the overall production quality.

[0117] The strip straightening index is a dimensionless index that quantitatively evaluates the straightening quality of the calibrated strip by integrating multi-dimensional data such as curvature, stress, and defects from the straightening monitoring points. It integrates the standardized deviations of various parameters through a formula to reflect the comprehensive compliance of the strip's shape, stress state, and surface quality after straightening. For example, if a strip is calculated to have Sz=0.85 (the closer to 1, the higher the straightening quality), it indicates that the combined effects of its curvature deviation, residual stress, and defect depth are at a relatively good level, and can be used as a basis for quality judgment.

[0118] As an embodiment of the present invention, the step of calculating the strip straightening index corresponding to the calibration output strip based on the straightening monitoring point includes:

[0119] The straightening index of the calibration output strip is calculated using the following formula: ;

[0120] in, This indicates the strip straightening index corresponding to the calibration output strip. Represents the scale constant. Indicates the sensitivity factor. This indicates the total number of the directly monitored points. This represents the index indicating the number of the calibration monitoring points. Indicates curvature weight, This represents the local curvature of the i-th calibration monitoring point. Indicates the reference curvature. Indicates stress weight. This represents the residual stress at the i-th calibration monitoring point. Indicates the reference stress. Indicates the defect weight. This represents the surface defect depth at the i-th calibration monitoring point. Indicates the thickness of the strip.

[0121] The above calculation formula is only one calculation method of the present invention, and it does not affect the implementation of embodiments that do not include the calculation method of the strip straightening index.

[0122] In detail, the scaling constant refers to a coefficient used to adapt the dimensions of the strip straightening index to the actual evaluation scenario. The dimension is dimensionless (because the exponential function output is dimensionless), used to scale the index calculation results so that Sz is within an easily understandable numerical range (e.g., 0-1). For example, for a plastic-steel strip with a thickness t=0.5mm, setting K=1, when the parameters at each monitoring point are ideal, Sz approaches the K value, which can intuitively reflect the theoretically optimal straightening effect. The sensitivity factor refers to a coefficient that controls the sensitivity of the strip straightening index to the deviation of the monitoring point parameters; the larger λ is... The smaller the parameter deviation, the more significant its impact on Sz. This is used to adapt to different quality control needs. For example, in a strict control scenario, assuming λ=2, if the curvature deviation at a certain monitoring point increases the standardized term by 0.1, after exponential amplification, Sz drops sharply from 0.9 to 0.82, accurately reflecting quality fluctuations. In a more lenient scenario, λ can be reduced. The curvature weight refers to a dimensionless coefficient that assigns relative importance to "local curvature deviation" in the strip straightening index calculation. It is used to adjust the weight of the curvature index's influence on the overall straightening quality. For example, when focusing on morphological straightening, assuming... =0.5, if the local curvature of a certain monitoring point is 0.5 =0.02 Reference curvature =0.01 The standardized value of this item is... This highlights the influence of curvature on Sz; the local curvature refers to the actual curvature of the strip at the straightening monitoring point, with dimensions of This describes the degree of local curvature of the strip at that point. For example, at the third monitoring point (i=3), the actual bending radius of the strip is r=50m, then the local curvature is... =1 / r=0.02 This is used to compare with a reference curvature to calculate the impact of morphological deviations on straightening quality; the reference curvature refers to the theoretical ideal curvature of the strip after straightening, with dimensions of [missing information]. As a benchmark for local curvature, a standardized value for curvature deviation is calculated. For example, the strip should be straight after the target straightening is assumed to be flat. ≠0 (In reality, due to measurement errors, a very small value can be taken, such as...) If the local curvature =0.01 ,but This visually reflects the degree of morphological deviation; the stress weight refers to the coefficient that assigns relative importance to the "residual stress deviation" in the calculation of the strip straightening index, used to adjust the weight of the stress index on the overall straightening quality. For example, when focusing on long-term service performance, it is set... =0.4, residual stress at a certain monitoring point =50MPa, reference stress =30MPa, then the standardized value of this item is This strengthens the contribution of residual stress to Sz; the residual stress inside the strip at the residual stress straightening monitoring point, with dimensions in Pa (e.g., MPa), reflects the stress state inside the material after straightening. Excessive residual stress will affect the stability of the strip. For example, at the 5th monitoring point (i=5), due to uneven straightening, the residual stress is high. =40MPa (allowable stress of PVC strip is 100MPa), this value is used to calculate the impact of stress deviation on straightening quality; the reference stress refers to the ideal residual stress after strip straightening (usually 0 or a minimum value, representing full stress release), with the dimension of Pa, and serves as a benchmark for comparison of residual stress. For example, set... =5MPa (considering that actual straightening cannot completely eliminate stress), if a certain monitoring point =15MPa, then =3, reflecting the standardized deviation of residual stress; the defect weight refers to the coefficient that assigns relative importance to the "surface defect depth deviation" in the calculation of the strip straightening index. It is dimensionless and used to adjust the weight of the influence of surface quality on the overall straightening quality. For example, when focusing on appearance quality, let... =0.3, surface defect depth at a certain monitoring point =0.02mm, strip thickness t=0.5mm, then the standardized value of this item is This reflects the impact of defects on Sz; the surface defect depth refers to the depth of surface defects (such as scratches or dents) on the strip at the straightening monitoring point, with the dimension m (or mm), used to assess the degree of surface damage. For example, the scratch depth detected at the second monitoring point... =0.03mm, this value is compared with the strip thickness to calculate the contribution of surface quality to the straightening index; the strip thickness refers to the nominal thickness of the target plastic steel strip, with the dimension of m (or mm), and serves as a comparison benchmark for the depth of surface defects (because the proportion of defects to thickness affects quality judgment). For example, if the strip thickness t = 0.4mm, the depth of a certain defect... =0.01mm, then / t=0.025, which reflects the degree of standardization of defect depth.

[0123] S5. Based on the bending straightening index, straighten and adjust the calibration output strip to obtain straightened and adjusted strip. Package the straightened and adjusted strip into finished products and analyze the finished product integrity index corresponding to the packaged straightened strip. Based on the finished product integrity index, generate a straightening and packaging report corresponding to the PET plastic steel strip roll.

[0124] Based on the bending straightening index, this invention straightens and controls the output strip of the calibration to obtain a straightened and controlled strip. It can accurately quantify the straightening quality of the strip, provide clear data guidance for control, make the straightening operation more targeted, dynamically adapt to the actual state of the strip, correct minor deviations in a timely manner, and ensure the continuous stability of straightening accuracy.

[0125] The straightening and regulating strip refers to the product obtained after performing targeted straightening operations (such as adjusting the three-roll differential speed and heating compensation parameters) on the calibrated output strip according to the strip straightening index. By correcting residual deviations, the strip shape, stress and other indicators are made closer to the ideal state. For example, the original calibrated output strip straightening index is 0.75 (ideally 1). After adjustment (the three-roll differential speed is adjusted from 1.2:1 to 1.1:1, and the heating zone temperature is finely adjusted by 5°C), the curvature deviation of the new strip is reduced by 30%, the residual stress is reduced by 25%, and the straightening index is increased to 0.92, which is the straightening and regulating strip. Optionally, the straightening and regulating of the calibrated output strip can be achieved by an adaptive control algorithm, such as using a fuzzy PID controller to dynamically adjust the pressure and speed parameters of the straightening rollers, thereby obtaining the straightening and regulating strip.

[0126] Furthermore, this invention, by packaging the straightening and regulating strip into finished products and analyzing the finished product integrity index corresponding to the packaged straightened strip, can standardize the storage and transportation of the strip and avoid secondary deformation; by analyzing the finished product integrity index, the appearance and structural integrity of the packaged strip can be quantitatively assessed, verifying the protective effect of packaging on the straightening effect; at the same time, by using the index to reflect the rationality of the packaging process, it provides data support for optimizing packaging schemes and ensuring the quality of final delivery, thus contributing to the closed-loop quality control of the entire process.

[0127] The finished product integrity index refers to an indicator used to quantify the integrity of the straightened strip after packaging. It comprehensively considers the strip's appearance defects, morphological deviations, stress stability, etc., and is calculated by weighting parameters such as the curvature, residual stress, and surface damage of the packaged strip. It reflects the comprehensive impact of the straightening and packaging processes on the strip's quality. For example, if the strip has a curvature deviation of 0.02 mm / m, a residual stress of 5 MPa, and no new surface defects after packaging, the index calculated by the formula is 0.95. The higher the value, the better the integrity. Optionally, the packaging of the straightened and regulated strip can be achieved through an automated packaging system, such as using an ABB industrial robot in conjunction with an intelligent winding machine to complete the winding and fixing of the strip, thereby obtaining the packaged finished strip. The analysis of the finished product integrity index corresponding to the packaged straightened strip can be achieved through X-ray non-destructive testing methods, such as using a YXLON industrial CT scanner to detect the internal stress distribution and structural integrity, thereby obtaining the finished product integrity index.

[0128] Based on the finished product integrity index, this invention generates a straightening and packaging report for the PET plastic steel strip roll. It can systematically integrate straightening and packaging data throughout the entire process, providing a comprehensive and quantitative summary basis for product quality. It can clearly present the quality evolution trajectory of the strip from initial deformation to the final product, making it easy to trace the effect of each link. It can also provide a standardized reference for subsequent production optimization and quality control, helping to form a closed-loop management system and improve product quality stability and production efficiency.

[0129] The straightening and packaging report refers to a document that comprehensively records key information throughout the entire process of PET plastic steel strip rolls, from straightening and control to finished product packaging. It covers parameters at each stage (such as straightening index and packaging process), quality indicators (such as finished product integrity index), and the final judgment result. It is a systematic summary of product quality. For example, a report records: the original strip deformation strength index is 180. After three-roll differential speed control (speed ratio 1.1:1) and heating compensation (105℃), the straightening index reaches 0.92, and the finished product integrity index after packaging is 0.94, which is judged as qualified. At the same time, key monitoring point data charts are attached for quality traceability and process optimization reference. Optionally, the generation of the straightening and packaging report corresponding to the PET plastic steel strip roll can be achieved through data visualization methods, such as using Tableau software to automatically integrate straightening parameters, test data, and finished product indicators to generate a visualization report, thereby obtaining the straightening and packaging report.

[0130] For example, the straightening and packaging report can be used to achieve dynamic straightening on a continuous PET strapping production line. The straightening system is deployed between the unwinding machine (maximum unwinding speed 15m / min) and the automatic packaging machine (packing cycle 6 rolls / hour). Dynamic straightening is achieved through the following steps: 1. Unwinding data access: The unwinding machine outputs roll material (width 25±0.2mm, thickness 0.8mm) that transmits tension data (range 300-450N) in real time. The system analyzes the initial stress distribution based on tension fluctuations. For example, if a batch of roll material at an unwinding speed of 12m / min detects a transverse compressive stress peak of 52MPa (exceeding the reference value by 38%) in a region 5mm from the edge, the system will automatically... 1. **High-risk roll material marking:** 2. **Online deformation interception:** During the movement of the multi-stage variable diameter roll group (roller diameter gradient: Φ80mm→Φ65mm→Φ50mm, roll spacing 0.5m): The sickle-shaped core section (length 2.3m) triggers three-roller differential speed control: upper roll speed 15m / min, middle roll speed 12m / min, lower roll speed 18m / min (differential speed ratio 1.25:1) synchronously initiates heating compensation: the deformation zone (coordinate X=3.7-6.0m) is heated to 105℃±3℃, while the edge zone is maintained at 85℃; 3. **Packaging entry quality inspection:** After straightening, the strip undergoes surface inspection (resolution 0.01mm), and only those key indicators meeting the standards can enter the packaging stage.

[0131] 4. Quality Closed-Loop Control: Packaged finished products undergo X-ray sampling inspection (sampling rate 10%), with a finished product integrity index reaching 0.92 (benchmark value ≥ 0.85). When the index fluctuates beyond ±0.03, the automatic feedback adjustment of straightening parameters is implemented: when deformation strength > 150, the heating compensation temperature is increased by 5-8℃; when residual stress > 28MPa, the roller speed difference ratio is increased by 0.1-0.15.

[0132] Compared to the problems described in the background art, this invention, by acquiring PET plastic steel strip rolls and analyzing the stress distribution data corresponding to the PET plastic steel strip rolls, can accurately locate the stress anomaly areas inside the strip, providing data support for subsequent straightening and avoiding ineffective treatment of stress-free areas. Simultaneously, it can identify potential stress concentration risks in advance, laying the foundation for the formulation of targeted straightening schemes and reducing straightening deviations caused by unclear stress distribution from the source. This invention, by extracting the sickle curvature characteristics from the multi-dimensional straightening matrix, can accurately capture key deformation information of the target plastic steel strip's bending area, providing core basis for subsequent analysis of deformation types and delineation of high-risk areas. It can also eliminate irrelevant data interference, making straightening control more targeted, avoiding parameter mismatch caused by complex information, and improving the accuracy of straightening decisions. Furthermore, based on the deformation strength index, this invention delineates high-risk areas in the preset straightening device. This invention allows for focused straightening of areas prone to severe deformation and equipment malfunction, preventing improper application of straightening force, optimizing the straightening process, and making the device operation more closely match the actual deformation of the PET strip, thus improving straightening accuracy and equipment stability. Furthermore, based on the surface detection data, this invention analyzes the plasticization trajectory of the calibrated output strip, revealing the dynamic changes in material plasticization during the straightening process and accurately linking the intrinsic relationship between the surface state and the degree of plasticization. It can verify the control effect of straightening parameters on material plasticization, providing a deeper basis for optimizing heating compensation and differential speed control. Finally, based on the bending straightening index, this invention performs straightening control on the calibrated output strip, obtaining a straightened and controlled strip. This accurately quantifies the straightening quality of the strip, providing clear data guidance for control, making the straightening operation more targeted, dynamically adapting to the actual state of the strip, promptly correcting minor deviations, and ensuring continuous and stable straightening accuracy. Therefore, the PET PET strip straightening and packaging method and system provided in this embodiment can improve the straightening and packaging quality of PET PET strip products.

[0133] Example 2

[0134] like Figure 3 The diagram shown is a functional block diagram of a PET plastic steel strapping straightening and packaging system according to the present invention.

[0135] The PET plastic strapping straightening and packaging system 200 described in this invention can be installed in an electronic device. Depending on the functions implemented, the PET plastic strapping straightening and packaging system may include a matrix construction module 201, a deformation index module 202, an appearance detection module 203, a straightening index module 204, and a report generation module 205. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, and are stored in the memory of the electronic device.

[0136] In this embodiment of the invention, the functions of each module / unit are as follows:

[0137] The matrix construction module 201 is used to acquire PET plastic steel strip rolls, analyze the stress distribution data corresponding to the PET plastic steel strip rolls, select the target plastic steel strips that need to be straightened in the PET plastic steel strip rolls based on the stress distribution data, and construct a multi-dimensional straightening matrix of the target plastic steel strips in the multi-stage variable diameter roller group.

[0138] The deformation index module 202 is used to extract the sickle bending rate feature in the multidimensional straightening matrix, analyze the deformation type corresponding to the target plastic steel strip based on the sickle bending rate feature, analyze the sickle bending region under the deformation type, and calculate the deformation strength index corresponding to the sickle bending region.

[0139] The appearance detection module 203 is used to delineate high-risk areas in the preset straightening device based on the deformation strength index, and to implement three-roll differential speed coordinated control and controllable heating compensation on the target plastic steel belt based on the high-risk areas to obtain the calibration output belt. The appearance detection is performed on the calibration output belt to obtain appearance detection data.

[0140] The straightening index module 204 is used to analyze the strip plasticization trajectory corresponding to the calibration output strip based on the apparent detection data, determine the straightening failure mode corresponding to the calibration output strip based on the strip plasticization trajectory, identify the straightening monitoring point in the straightening failure mode, and calculate the strip straightening index corresponding to the calibration output strip based on the straightening monitoring point.

[0141] The report generation module 205 is used to straighten and adjust the calibration output strip based on the bending straightening index to obtain straightened and adjusted strip, package the straightened and adjusted strip into finished products, analyze the finished product integrity index corresponding to the packaged straightened strip, and generate a straightening and packaging report corresponding to the PET plastic steel strip roll based on the finished product integrity index.

[0142] In detail, the modules in the PET plastic strapping finished product straightening and packaging system 200 described in this embodiment of the invention adopt the same characteristics as described above during use. Figure 1 The method described herein is the same as the one used for straightening and packaging PET plastic steel strapping products, and can produce the same technical effect, so it will not be repeated here.

[0143] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0144] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for straightening and packaging finished PET plastic steel strapping products, characterized in that, The method includes: Obtain PET plastic steel strip rolls, analyze the stress distribution data corresponding to the PET plastic steel strip rolls, and based on the stress distribution data, select the target plastic steel strips that need to be straightened in the PET plastic steel strip rolls, and construct a multi-dimensional straightening matrix of the target plastic steel strips in a multi-stage variable diameter roller group; Extract the sickle curvature feature from the multidimensional straightening matrix, analyze the deformation type corresponding to the target plastic steel strip based on the sickle curvature feature, analyze the sickle bend region under the deformation type, and calculate the deformation strength index corresponding to the sickle bend region. Based on the deformation strength index, high-risk areas in the preset straightening device are identified. Based on the high-risk areas, three-roll differential speed coordinated control and controllable heating compensation are implemented on the target plastic steel belt to obtain the calibration output belt. The calibration output belt is subjected to appearance inspection to obtain appearance inspection data. Based on the apparent detection data, the plasticization trajectory of the calibrated output strip is analyzed. Based on the plasticization trajectory, the straightening failure mode of the calibrated output strip is determined, and the straightening monitoring point in the straightening failure mode is identified. Based on the straightening monitoring point, the straightening index of the calibrated output strip is calculated. Based on the bending straightening index, the calibration output strip is straightened and adjusted to obtain straightened adjusted strip. The straightened adjusted strip is then packaged as a finished product, and the finished product integrity index corresponding to the packaged straightened strip is analyzed. Based on the finished product integrity index, a straightening and packaging report corresponding to the PET plastic steel strip roll is generated.

2. The method for straightening and packaging finished PET plastic steel strapping as described in claim 1, characterized in that, The construction of the multidimensional straightening matrix of the target plastic steel belt in the multi-stage variable diameter roller group includes: Analyze the core stress variables corresponding to the target plastic-steel strip; Based on the core stress variables, generate the strip stress sequence corresponding to the target plastic-steel strip; The strip stress sequence is divided into segmented stress windows by a sliding window. The segmented stress windows are fused across domains to obtain fused stress blocks; Identify the multidimensional properties of the blocks in the fusion stress blocks; Based on the multidimensional attributes of the block, a multidimensional straightening matrix for the target plastic steel belt in a multi-stage variable diameter roller group is constructed.

3. The method for straightening and packaging finished PET plastic steel strapping as described in claim 1, characterized in that, The extraction of the sickle curvature feature from the multidimensional straightening matrix includes: Locate the continuous deformation interval corresponding to the multidimensional straightening matrix; Extract the bending feature points in the continuous deformation range; Query the valid measurement positions corresponding to the bending feature points; Based on the preset curvature reference table, the curvature reference value in the effective measurement position is called; Based on the curvature reference value, the sickle curvature feature in the multidimensional straightening matrix is ​​extracted.

4. The method for straightening and packaging finished PET plastic steel strapping as described in claim 1, characterized in that, The analysis of the deformation type corresponding to the target plastic steel strip based on the sickle curvature characteristics includes: Analyze the feature component weights corresponding to the sickle curvature feature; Based on the weights of the feature components, the deformation contribution value corresponding to the target plastic steel strip is calculated; Generate the dominant deformation sequence corresponding to the deformation contribution value; Based on the dominant deformation sequence, the deformation type corresponding to the target plastic steel strip is analyzed.

5. The method for straightening and packaging finished PET plastic steel strapping as described in claim 1, characterized in that, Based on the high-risk location, the target plastic-steel strip is subjected to three-roll differential speed coordinated control and controllable heating compensation to obtain a calibrated output strip, including: Identify the core segment of the sickle bend corresponding to the high-risk location; Mark the travel path position corresponding to the target plastic steel strip in the core section of the sickle bend; Based on the travel path position, analyze the speed differential ratio of the target plastic steel belt under the three-roller differential speed coordinated control; Based on the speed differential ratio, the zone compensation temperature of the preset controllable heating element is set; Based on the partitioned compensation temperature, the target plastic steel strip is subjected to controllable heating compensation to obtain the calibrated output strip.

6. The method for straightening and packaging finished PET plastic steel strapping as described in claim 1, characterized in that, The appearance inspection of the calibration output tape to obtain appearance inspection data includes: Collect the strip image data corresponding to the calibration output strip; Locate the key detection areas in the strip image data; Retrieve the surface detail parameters corresponding to the key detection area; Based on the surface detail parameters, the calibration output strip is subjected to appearance inspection to obtain appearance inspection data.

7. The method for straightening and packaging finished PET plastic steel strapping as described in claim 1, characterized in that, The step of analyzing the strip plasticization trajectory corresponding to the calibration output strip based on the apparent detection data includes: Divide the plasticization defect intervals corresponding to the appearance detection data; Extract the abnormal plasticizing features from the plasticizing defect region; Construct a plasticization trajectory mapping table corresponding to the aforementioned plasticization anomaly features; Extract the plasticization level index from the plasticization trajectory mapping table; Based on the plasticization level index, the plasticization trajectory of the strip corresponding to the calibration output strip is analyzed.

8. A PET plastic steel strapping finished product straightening and packaging system, characterized in that, The system includes: The matrix construction module is used to acquire PET plastic steel strip rolls, analyze the stress distribution data corresponding to the PET plastic steel strip rolls, select the target plastic steel strips that need to be straightened in the PET plastic steel strip rolls based on the stress distribution data, and construct a multi-dimensional straightening matrix of the target plastic steel strips in the multi-stage variable diameter roller group. The deformation index module is used to extract the sickle bending rate feature in the multidimensional straightening matrix, analyze the deformation type corresponding to the target plastic steel strip based on the sickle bending rate feature, analyze the sickle bending region under the deformation type, and calculate the deformation strength index corresponding to the sickle bending region. The appearance inspection module is used to delineate high-risk areas in the preset straightening device based on the deformation strength index, implement three-roll differential speed coordinated control and controllable heating compensation on the target plastic steel belt based on the high-risk areas, obtain the calibration output belt, and perform appearance inspection on the calibration output belt to obtain appearance inspection data. The straightening index module is used to analyze the strip plasticization trajectory corresponding to the calibration output strip based on the apparent test data, determine the straightening failure mode corresponding to the calibration output strip based on the strip plasticization trajectory, identify the straightening monitoring point in the straightening failure mode, and calculate the strip straightening index corresponding to the calibration output strip based on the straightening monitoring point. The report generation module is used to straighten and adjust the calibration output strip based on the bending straightening index to obtain straightened and adjusted strip, package the straightened and adjusted strip into finished products, analyze the finished product integrity index corresponding to the packaged straightened strip, and generate a straightening and packaging report corresponding to the PET plastic steel strip roll based on the finished product integrity index.

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