Pre-expanded cold shrink cable accessory and method of production

Abstract

The application relates to the technical field of cable accessories, and provides a pre-expansion cold shrink cable accessory and a production method, the pre-expansion cold shrink cable accessory comprising: a cold shrink sleeve; and a three-section gradual change support strip, the three-section gradual change support strip sequentially having a pulling end equal-thickness section, a middle continuous gradual change section and an anchoring end equal-thickness section along a production feeding direction, the radial thickness of the middle continuous gradual change section being greater than the radial thickness of the pulling end equal-thickness section and smaller than the radial thickness of the anchoring end equal-thickness section, the three-section gradual change support strip being used for forming a hollow cylindrical rigid support frame in an axial spiral surrounding mode, and the cold shrink sleeve being coaxially sleeved on the outer periphery of the hollow cylindrical rigid support frame. The production method of the three-section gradual change support strip of the pre-expansion cold shrink cable accessory can improve the technical problem that, when a single-section parameter deviation occurs in the production process of the support strip of the pre-expansion cold shrink cable accessory, only overall parameter adjustment can be carried out, and deviation identification lag exists.

Description

Technical Field

[0001] This application relates to the field of cable accessory technology, and in particular to a pre-expanded cold-shrink cable accessory and its manufacturing method. Background Technology

[0002] Pre-expanded cold-shrink cable accessories are core supporting components used for cable line splicing and terminal sealing protection in medium and low voltage power transmission and distribution systems. Relying on the pre-expanded rebound characteristics of the elastic silicone rubber matrix, they can be quickly installed on-site without the need for special heating or crimping tools. They are widely used in urban power grid transformation, power distribution in industrial and mining enterprises, and power supply for rail transit. Their operational reliability directly determines the sealing protection effect and power supply safety and stability of the cable line.

[0003] Because the existing equal-thickness support strips have the same resistance throughout the entire pulling process, the cold shrink sleeve will instantly accelerate its rebound when the support strip is withdrawn at the end. This can easily cause problems such as pulling jamming, misalignment, and damage to cable insulation. At the same time, problems such as circumferential torsion, loosening, and unspinning can easily occur during storage, transportation, and assembly.

[0004] Existing production technologies for support bars in pre-expanded cold-shrink cable accessories are mostly designed for traditional equal-thickness support bars. When faced with single-segment parameter deviations, they can only make overall parameter adjustments. At the same time, there is a lag in deviation identification, which can easily lead to poor batch consistency and low production qualification rate of the support bars produced. Summary of the Invention

[0005] This application provides a pre-expanded cold-shrink cable accessory and its production method, which can improve the problems existing in related technologies, such as the pre-expanded cold-shrink cable accessory being prone to misalignment during installation, loosening and unspinning during storage, and the fact that the support bar of the pre-expanded cold-shrink cable accessory can only make overall parameter adjustments when faced with single-segment parameter deviations during production, while also having the problem of delayed deviation identification.

[0006] In a first aspect, embodiments of this application provide a pre-expanded cold-shrink cable accessory, comprising: Cold shrink sleeve; and The three-section gradient support strip has, along the production material feeding direction, a pull-out end section of equal thickness, a middle continuous gradient section, and an anchoring end section of equal thickness. The radial thickness of the middle continuous gradient section is greater than the radial thickness of the pull-out end section of equal thickness but less than the radial thickness of the anchoring end section of equal thickness. The three-section gradient support strip is used to spirally enclose the hollow cylindrical rigid support frame along the axial direction to form a hollow cylindrical rigid support frame. The cold shrink sleeve is coaxially sleeved on the outer periphery of the hollow cylindrical rigid support frame, and is radially expanded by the hollow cylindrical rigid support frame and maintained in a pre-expanded state. The inner circumferential surface of the cold shrink sleeve is in close contact with the outer circumferential surface of the hollow cylindrical rigid support frame.

[0007] In a second aspect, embodiments of this application provide a method for producing a three-section gradient support strip for a pre-expanded cold-shrink cable accessory, used to produce the three-section gradient support strip for the pre-expanded cold-shrink cable accessory described in the first aspect, the method comprising: Obtain a first reference parameter set and a second reference parameter set; wherein, the first reference parameter set includes a standardized qualified reference dataset of dual-reference calibration samples collected by the cable accessory production equipment, and the second reference parameter set is a background environment reference dataset collected by the cable accessory production equipment under no-load operation. Benchmark judgment information is obtained based on the first benchmark parameter set and the second benchmark parameter set; wherein, the benchmark judgment information includes a first benchmark feature center, a second benchmark feature center, a third benchmark feature center, and a fourth benchmark feature center; Acquire a continuous parameter stream; wherein, the continuous parameter stream includes real-time production characteristic parameters of the three-section gradient support bar, including the equal thickness section at the pull-out end, the continuous gradient section in the middle, and the equal thickness section at the anchoring end, collected by the cable accessory production equipment during the production of the three-section gradient support bar. The continuous parameter stream is divided into multiple parameter slices according to the production segment, and the parameter compliance status of the current production segment is determined based on each parameter slice and the benchmark judgment information. Based on the continuous parameter flow and the parameter compliance status, the closed-loop control output value corresponding to the production segment is obtained, wherein the closed-loop control output value is used to control the cable accessory production equipment to produce the three-section gradient support strip of the pre-expanded cold shrink cable accessory.

[0008] The technical solutions described in this application embodiment have at least the following technical effects: By collecting standardized qualified benchmark datasets of dual-benchmark calibration samples and background environment benchmark datasets of production equipment under no-load operation, benchmark judgment information containing four benchmark feature centers (first benchmark feature center, second benchmark feature center, third benchmark feature center, and fourth benchmark feature center) is generated. A standardized judgment standard adapted to the differentiated structure of the three-segment gradient support strip is established. By collecting real-time production feature parameters of each segment during the production process of the three-segment gradient support strip, a continuous parameter stream is formed. After splitting the continuous parameter stream according to the production segment, the benchmark judgment information is combined to complete the parameter compliance status judgment of each segment, realizing the accurate identification of segmented parameter deviations during the production process. Based on the parameter compliance status, the closed-loop control output value of the corresponding production segment is generated and sent to the production equipment for execution, realizing dynamic correction of the production process, improving the problems of insufficient control accuracy of support strip production segments and lag in deviation correction, and improving the batch consistency and production qualification rate of products. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 A schematic diagram of the structure of the pre-expanded cold-shrink cable accessory provided in the embodiments of this application; Figure 2 A cross-sectional view of the pre-expanded cold-shrink cable accessory provided in the embodiments of this application; Figure 3 A schematic flowchart illustrating the production method of the pre-expanded cold-shrink cable accessory provided in the embodiments of this application; Figure 4 A flowchart illustrating step S200 in the production method of the pre-expanded cold-shrink cable accessory provided in the embodiments of this application; Figure 5 A flowchart illustrating step S400 in the production method of pre-expanded cold-shrink cable accessories provided in this application embodiment.

[0011] The following are the labeling elements in the figure: 100. Pre-expanded cold-shrink cable accessories; 10. Cold-shrink sleeve; 20. Three-section gradient support bar; 21. Pull-out end equal thickness section; 22. Intermediate continuous gradient section; 23. Anchoring end equal thickness section. Detailed Implementation

[0012] To make the technical problems, technical solutions, and beneficial effects to be solved by this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the scope of this application.

[0013] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application. The terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0014] It should be noted that when a component is referred to as being "fixed to" or "set on" another component, it can be directly on or indirectly on that other component. When a component is referred to as being "connected to" another component, it can be directly connected to or indirectly connected to that other component.

[0015] It should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0016] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0017] In this application, "and / or" is merely a way of describing the relationship between related objects, indicating that three relationships can exist; for example, A and / or B can represent three cases: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0018] It should be noted that in this application, the words "in some embodiments," "exemplarily," and "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described in this application as "in some embodiments," "exemplarily," or "for example" should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of words such as "in some embodiments," "exemplarily," and "for example" is intended to present related concepts in a specific manner, meaning that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of this application. The appearance of the above words in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0019] Pre-expanded cold-shrink cable accessories are core supporting components used for cable line splicing and terminal sealing protection in medium and low voltage power transmission and distribution systems. Relying on the pre-expanded rebound characteristics of the elastic silicone rubber matrix, they can be quickly installed on-site without the need for special heating or crimping tools. They are widely used in urban power grid transformation, power distribution in industrial and mining enterprises, and power supply for rail transit. Their operational reliability directly determines the sealing protection effect and power supply safety and stability of the cable line.

[0020] Because the existing equal-thickness support strips have the same resistance throughout the entire pulling process, the cold shrink sleeve will instantly accelerate its rebound when the support strip is withdrawn at the end. This can easily cause problems such as pulling jamming, misalignment, and damage to cable insulation. At the same time, problems such as circumferential torsion, loosening, and unspinning can easily occur during storage, transportation, and assembly.

[0021] Existing production technologies for support bars in pre-expanded cold-shrink cable accessories are mostly designed for traditional equal-thickness support bars. When faced with single-segment parameter deviations, they can only make overall parameter adjustments. At the same time, there is a lag in deviation identification, which can easily lead to poor batch consistency and low production qualification rate of the support bars produced.

[0022] Based on this, in order to improve the technical problems of pre-expanded cold shrink cable accessories in related technologies, such as easy misalignment during installation and easy loosening and unspinning during storage, the embodiments of this application provide the following solutions.

[0023] Please see Figure 1 and Figure 2 This application provides a pre-expanded cold-shrink cable accessory 100, which includes a cold-shrink sleeve 10 and a three-section gradient support strip 20, wherein: The three-section gradient support bar 20 has a pull-out end equal thickness section 21, a middle continuous gradient section 22 and an anchoring end equal thickness section in sequence along the production material feeding direction. The radial thickness of the middle continuous gradient section 22 is greater than the radial thickness of the pull-out end equal thickness section 21 and less than the radial thickness of the anchoring end equal thickness section. The three-section gradient support bar 20 is used to spirally enclose and form a hollow cylindrical rigid support frame along the axial direction. The cold shrink sleeve 10 is coaxially sleeved on the outer periphery of the hollow cylindrical rigid support frame, is radially expanded by the hollow cylindrical rigid support frame and maintains a pre-expanded state. The inner peripheral surface of the cold shrink sleeve 10 is in close contact with the outer peripheral surface of the hollow cylindrical rigid support frame.

[0024] It is understandable that the cold shrink sleeve 10 is a tubular component made of insulating polymer materials such as silicone rubber with excellent high resilience. It is the core component of the pre-expanded cold shrink cable accessory 100 to achieve insulation and sealing functions. After being stretched open by the rigid support structure, it can maintain an elastic pre-stretch state for a long time. After being removed from the support structure, it can quickly rebound and shrink radially.

[0025] The three-section gradient support strip 20 is a long, rigid support component with a differentiated structure divided into three sections along the production material flow direction. It is a load-bearing component that maintains the pre-expansion state of the cold shrink sleeve 10. It spirals around the spring to form a cylindrical support structure. It can be quickly dismantled on-site by pulling the pull end.

[0026] The material feeding direction during the production process of the three-section gradient support bar 20 is the axial direction of the continuous extrusion and traction of the material, which is consistent with the length extension direction of the finished support bar.

[0027] The equal-thickness section 21 at the pull-out end is a thin, uniformly thick structural section located at the starting end of the three-section gradient support bar 20. It is the stress-bearing section for pulling the entire support bar during on-site construction. For example, the equal-thickness section 21 at the pull-out end of the three-section gradient support bar 20 can be a 35mm long section at the front end and a constant radial thickness of 1.2mm.

[0028] The intermediate continuous gradient section 22 is located in the middle section of the three-segment gradient support bar 20. Its radial thickness increases linearly from the pull-out end to the anchoring end, creating a smooth transition in the support bar thickness and ensuring uniform stress distribution in the enclosed support structure. For example, the intermediate continuous gradient section 22 could be a 150mm long section in the middle of the three-segment gradient support bar 20, with its radial thickness increasing uniformly from 1.2mm to 2.5mm.

[0029] The equal-thickness section at the anchor end is a thick structural section with uniform radial thickness located at the end of the three-section gradient support bar 20, used to ensure long-term stability in the pre-expansion state. For example, the equal-thickness section at the anchor end can be a 45mm long and 2.5mm radially thick section at the end of the three-section gradient support bar 20.

[0030] In the pre-expansion state, the cold shrink sleeve 10 is radially and evenly expanded by the hollow cylindrical rigid support frame, and its inner diameter is much larger than its inner diameter in the free contraction state. It is in a stable state of elastic tension and energy storage for a long time. After the three-section gradual support strip 20 is removed, it can quickly rebound and contract to hug the cable.

[0031] As can be seen from the above, when installing the pre-expanded cold-shrink cable accessory 100 provided in this application embodiment on site, the construction personnel first complete the standardized stripping, grinding, and cleaning of the end of the power cable to be installed. Then, the cold-shrink sleeve 10, which is coaxially fitted onto the outer periphery of the hollow cylindrical rigid support frame formed by the three-section gradient support bar 20 spirally enclosing it along the axial direction and is uniformly radially expanded by the support frame to maintain a stable pre-expanded state for a long time, is coaxially fitted along the cable axis to the target positioning position of the cable to be installed. Subsequently, the construction personnel pull the front end of the three-section gradient support bar 20. The uniform-thickness section 21 of the pull-out end exposed at the construction end of the cold shrink sleeve 10 allows the spirally enclosed three-section gradually changing support bar 20 to unwind axially, exiting the annular gap between the cold shrink sleeve 10 and the cable at a uniform speed. During the pulling process, the sections of the cold shrink sleeve 10 that have lost radial support from the three-section gradually changing support bar 20 will simultaneously and gradually complete radial rebound shrinkage. The continuous gradual section 22 in the middle of the three-section gradually changing support bar 20, through its structural design of continuously and smoothly increasing radial thickness from the pull-out end to the anchoring end, achieves a linear and smooth transition of pulling resistance, effectively reducing pulling jamming and sudden changes in the rebound rate of the cold shrink sleeve 10. The installation misalignment and insulation damage (traditional support bars are mostly of uniform thickness or stepped variable thickness. When pulled to the stepped diameter change position, the thickness of the support bar changes abruptly, and the elastic potential energy stored in the cold shrink sleeve 10 is released in a very short time, directly causing a drastic change in the rebound rate; at the same time, the uniform thickness structure has a constant pulling resistance throughout the process, and there will be a problem of instantaneous acceleration of rebound when withdrawing at the end. By using the design of the radial thickness of the intermediate continuous gradual section 22 increasing linearly from the pulling end to the anchoring end, the stepped thickness change is avoided. During the pulling process, the intermediate continuous gradual section 22 in contact with the inner wall of the cold shrink sleeve 10 The thickness decreases smoothly and linearly, and the radial deformation of the cold shrink sleeve 10 is also released linearly and gradually, reducing the jump in rebound rate caused by the sudden change in thickness. The equal-thickness section of the anchoring end of the three-section gradual support bar 20 provides sufficient rigid support for the overall support structure during the product storage, transportation and installation period, preventing the failure of the pre-expansion state of the cold shrink sleeve 10. After the entire three-section gradual support bar 20 is completely pulled out, the cold shrink sleeve 10 has completed uniform rebound along its entire length, tightly hugging the outer insulation surface of the cable, completing the integrated installation of insulation, sealing and stress control of the cable accessories.

[0032] Optionally, the web section of the three-section gradient support bar 20 is an asymmetrical parallelogram or trapezoid. The angle between the side of the web of the three-section gradient support bar 20 facing the equal-thickness section 21 at the pull-out end and the web plane is an acute angle, and the side facing the equal-thickness section 23 at the anchoring end is a right angle or an obtuse angle, so that the three-section gradient support bar 20 has an anti-torsional self-locking tendency in the spiral state.

[0033] It is understandable that the web section is the cross-sectional shape formed by cutting the three-segment gradually changing support bar 20 along its own thickness direction, and it is the section that determines the structural form and mechanical properties of the support bar.

[0034] The web plane is the main flat reference plane of the web of the three-segment gradient support bar 20, and is used as a reference plane for measuring the included angle of the sides. For example, the web plane can be the inner side plate surface (towards the core mold / cable center) or the outer side plate surface (towards the inner wall of the cold shrink sleeve 10).

[0035] The anti-torsion self-locking tendency is a structural characteristic of the three-segment gradient support bar 20 in a spiral enclosure shape, which can autonomously resist circumferential torsion and maintain the spiral shape without loosening or unwinding.

[0036] The acute angle range can be (75°, 85°), and the obtuse angle range can be (90°, 95°).

[0037] This design, by limiting the web of the three-section gradient support bar 20 to adopt an asymmetrical parallelogram or trapezoidal cross section, and specifying that the side facing the pull-out end of the equal-thickness section 21 forms an acute angle of 75°-85° with the web plane, and the side facing the anchoring end of the equal-thickness section 23 forms a right angle or obtuse angle of 90°-95°, utilizes the asymmetrical cross-section structure to give the support bar anti-torsion self-locking ability in the spiral enclosure state, which can effectively avoid the spiral torsion, loosening and unwinding problems of the support bar during storage, transportation and assembly, and stably maintain the pre-expansion shape of the cold shrink sleeve 10.

[0038] Optionally, the surface of the three-section gradient support bar 20 that contacts the cold shrink sleeve 10 is a rough surface.

[0039] It is understandable that a rough surface is a surface with microscopic textures and lacks smoothness, which can effectively increase the coefficient of friction at the contact interface. For example, a rough surface can be a textured surface formed by knurling or a frosted surface formed by sanding.

[0040] This design increases the frictional resistance between the three-section gradient support strip 20 and the cold shrink sleeve 10 by using a rough surface, preventing relative slippage and misalignment between the two during product storage and transportation, and stabilizing the pre-expansion shape of the cold shrink sleeve. At the same time, it provides a basis for the smooth pulling of the three-section gradient support strip 20 during on-site installation, and prevents the cold shrink sleeve 10 from experiencing local premature rebound or uneven shrinkage.

[0041] Please see Figure 3 This application also provides a method for producing a three-section gradient support strip for a pre-expanded cold-shrink cable accessory, used to produce the three-section gradient support strip 20 of the pre-expanded cold-shrink cable accessory 100 described in any of the above embodiments. The production method includes: Obtain a first reference parameter set and a second reference parameter set; wherein, the first reference parameter set includes a standardized qualified reference dataset of dual-reference calibration samples collected by the cable accessory production equipment, and the second reference parameter set is a background environment reference dataset collected by the cable accessory production equipment under no-load operation. The benchmark judgment information is obtained based on the first benchmark parameter set and the second benchmark parameter set; wherein, the benchmark judgment information includes the first benchmark feature center, the second benchmark feature center, the third benchmark feature center and the fourth benchmark feature center; Acquire a continuous parameter stream; wherein, the continuous parameter stream includes real-time production characteristic parameters of the three-section gradient support bar, including the equal thickness section at the pull-out end, the continuous gradient section in the middle, and the equal thickness section at the anchoring end, collected by the cable accessory production equipment during the production of the three-section gradient support bar. The continuous parameter stream is divided into multiple parameter slices according to the production segment, and the parameter compliance status of the current production segment is determined based on each parameter slice and the benchmark judgment information. The closed-loop control output value for the corresponding production segment is obtained based on the continuous parameter flow and parameter compliance status; among which, the closed-loop control output value is used to control the three-segment gradient support strip of the cable accessory production equipment for producing pre-expanded cold-shrink cable accessories.

[0042] As can be seen from the above, the production method of pre-expanded cold-shrink cable accessories provided in this application generates benchmark judgment information containing four benchmark feature centers (first benchmark feature center, second benchmark feature center, third benchmark feature center, and fourth benchmark feature center) by collecting standardized qualified benchmark datasets of dual-benchmark calibration samples and background environment benchmark datasets of production equipment under no-load operation. This establishes a standardized judgment standard adapted to the differentiated structure of the three-segment gradient support bar. By collecting real-time production feature parameters of each segment during the production process of the three-segment gradient support bar, a continuous parameter stream is formed. After splitting the continuous parameter stream according to the production segments, the benchmark judgment information is combined to complete the parameter compliance status judgment of each segment. This achieves accurate identification of segmented parameter deviations during the production process. The closed-loop control output value of the corresponding production segment is generated based on the parameter compliance status and sent to the production equipment for execution, realizing dynamic correction of the production process. This improves the problems of insufficient control accuracy and delayed deviation correction in the production segments of the three-segment gradient support bar, and enhances the batch consistency and production qualification rate of the product.

[0043] To better understand the production method of pre-expanded cold-shrink cable accessories provided in the embodiments of this application, the specific implementation process of the production method of pre-expanded cold-shrink cable accessories provided in the embodiments of this application will be described by way of example below.

[0044] Figure 3A schematic flowchart illustrating a method for producing a three-section gradient support strip for a pre-expanded cold-shrink cable accessory according to an embodiment of this application is shown. The method includes: S100, obtain the first reference parameter set and the second reference parameter set; wherein, the first reference parameter set includes the standardized qualified reference dataset of dual reference calibration samples collected by the cable accessory production equipment, and the second reference parameter set is the background environment reference dataset collected by the cable accessory production equipment under no-load operation.

[0045] It is understandable that the first set of reference parameters is the qualified benchmark for the production control of the three-segment gradient support strip. It is formed by collecting all the qualified parameters of the dual-benchmark calibration sample from the cable accessory production equipment and summarizing them. It is the standard for subsequent judgment of whether the production parameters are compliant. For example, the first set of reference parameters may include all qualified parameters such as the thickness, width, and gradient slope of the corresponding standard sample (dual-benchmark calibration sample).

[0046] The second reference parameter set is the background reference for the production control of the three-section gradient support bar. It is formed by summarizing the full-dimensional background data collected by the cable accessory production equipment under no-load operation. It is used to filter system noise and environmental interference during the production and testing process. For example, the second reference parameter set may include the zero-point reference value of the thickness gauge when the production equipment is running under no-load, the detection fluctuation value caused by equipment vibration, etc.

[0047] Cable accessory production equipment is used to process and manufacture three-section gradient support strips for pre-expanded cold-shrink cable accessories. It may include execution modules such as extrusion molding unit, multi-dimensional detection unit, and spiral winding unit. For example, cable accessory production equipment may include servo extruder, laser thickness gauge, CNC winding machine, etc., but is not limited to these.

[0048] The dual-benchmark calibration sample is a physical standard reference that has been metrologically calibrated and whose three-section gradient support bar structure and nominal parameters are consistent with those of the target production.

[0049] A standardized qualified benchmark dataset is a set of qualified parameters formed by mapping various production parameters of different dimensions and magnitudes of dual-benchmark calibration samples to the same numerical scale through a normalization algorithm. For example, a standardized qualified benchmark dataset can be a set of qualified parameters formed by mapping parameters of different units such as support strip thickness, winding tension, and gradient slope to the 0-1 interval.

[0050] No-load operation refers to the operating state in which all execution units of the cable accessory production equipment start up according to the normal production sequence, operating parameters and working mode, but do not send in the support bar material to be processed.

[0051] Background environment benchmark dataset is a collection of background data collected during the no-load operation of cable accessory production equipment. It includes non-product-specific features such as environmental interference at the production site, inherent system noise of the equipment, and inherent deviations of the detection unit. For example, the background environment benchmark dataset may include zero-point drift of the thickness gauge caused by ambient temperature during no-load operation and sensor fluctuation values ​​caused by equipment vibration.

[0052] By collecting standardized qualified benchmark datasets of dual-benchmark calibration samples and background environment benchmark datasets of production equipment operating without load, a unified and quantifiable dual-benchmark judgment system is established for subsequent benchmark feature center construction and production parameter compliance judgment. This can effectively reduce the dimensional differences of different production parameters and the detection interference caused by the environment and equipment.

[0053] S200, benchmark judgment information is obtained based on the first benchmark parameter set and the second benchmark parameter set; wherein, the benchmark judgment information includes the first benchmark feature center, the second benchmark feature center, the third benchmark feature center and the fourth benchmark feature center.

[0054] It can be understood that the first benchmark feature center is the feature in the standardized feature space that corresponds to the ideal qualified state of the equal thickness section of the three-segment gradient support strip pull-out end. It is generated by the clustering of the first benchmark parameters and is the benchmark for identifying the segmentation of the pull-out end and determining whether the production parameters of the thin section are compliant. For example, the first benchmark feature center can be the standard feature clustering center corresponding to the nominal thickness of the pull-out end of 1mm and the uniformity tolerance of ±0.02mm.

[0055] The second benchmark feature center is a feature in the standardized feature space that corresponds to the ideal qualified state of the equal thickness section of the anchoring end of the three-segment gradient support strip. It is generated by the clustering of the first benchmark parameters and serves as a benchmark for identifying the segmentation of the anchoring end and determining whether the production parameters of the thick section are compliant. For example, the second benchmark feature center can be the standard feature clustering center corresponding to the nominal thickness of the anchoring end of 2.5mm.

[0056] The third benchmark feature center is a feature in the standardized feature space that corresponds to the ideal and qualified change law of the continuous gradual change segment in the middle of the three-segment gradual change support strip. It is generated by the clustering of the first benchmark parameter set and is the benchmark for judging whether the core parameters such as the slope and linearity of the thickness gradient of the gradual change segment are compliant. For example, the third benchmark feature center can be the standard change feature cluster center corresponding to the uniform gradual change from 1mm to 2.5mm and the nominal slope of 0.1mm / cm.

[0057] The fourth benchmark feature center is the boundary feature corresponding to the production no-load state, system noise and production anomaly in the standardized feature space. It is generated by the clustering of the second parameter set and serves as a benchmark for filtering environmental interference, identifying production faults and delineating the non-compliant boundary of parameters. For example, the fourth benchmark feature center can be the feature clustering center corresponding to the zero point of the thickness gauge and equipment vibration noise in the no-material no-load state.

[0058] The method for obtaining benchmark judgment information based on the first and second benchmark parameter sets can be as follows: First, production control parameters of different dimensions and magnitudes within the first and second benchmark parameter sets are uniformly mapped to the same standardized feature space using the Min-Max normalization algorithm to eliminate clustering bias caused by parameter differences. Then, K-means clustering with k=3 is performed on the standardized data of the first benchmark parameter set to obtain the first benchmark feature center for the thin section of the pull-out end, the second benchmark feature center for the thick section of the anchoring end, and the third benchmark feature center for the gradient section. If, after k=3 clustering, only one cluster center is closest to both the first and second benchmark feature values ​​and the second benchmark feature value, then k=3 clustering is performed again, and the initial centroid of the cluster is adjusted to the pre-calibrated first and second benchmark feature values ​​and the median value between them to ensure the generation of three independent cluster centers corresponding to the three segments. Subsequently, K-means clustering with k=1 is performed on the standardized data of the second benchmark parameter set, and the obtained clustering result is used as the fourth benchmark feature center. Finally, the four feature centers are integrated to obtain complete benchmark judgment information, but this method is not limited to this.

[0059] By performing feature clustering processing on the qualified benchmark dataset and the background environment benchmark dataset, benchmark judgment information covering the qualified features and abnormal boundary features of the three-segment gradient support strip is generated, providing a unified judgment standard for the segmented identification, compliance judgment and deviation identification of real-time parameters in the subsequent production process.

[0060] In one possible implementation, please refer to Figure 4 S200, Based on the first reference parameter set and the second reference parameter set, reference judgment information is obtained, including: S210, the characteristic parameters of the dual-reference calibration sample are transformed into the standardized feature space to obtain the first reference characteristic value and the second reference characteristic value; wherein, the first reference characteristic value corresponds to the equal thickness section of the pull-out end, and the second reference characteristic value corresponds to the equal thickness section of the anchoring end.

[0061] It is understandable that characteristic parameters are quantifiable test indicators collected from dual-benchmark calibration samples that can directly reflect the processing quality and performance of the corresponding segments of the three-segment gradient support strip. For example, characteristic parameters may include the thickness uniformity of the pull-out end of the dual-benchmark calibration sample and the cross-sectional bending stiffness of the anchoring end.

[0062] A standardized feature space is a multi-dimensional mathematical space formed by mapping various feature parameters of different dimensions, magnitudes, and units to the same numerical scale through a pre-defined normalization algorithm. For example, a standardized feature space can be a multi-dimensional mathematical space formed by mapping thickness parameters in mm, winding tension parameters in N, and unitless thickness gradient slope parameters to the 0-1 numerical range.

[0063] The first reference characteristic value is the standard value mapped to the standardized feature space after the characteristic parameters of the equal thickness section of the pull-out end in the dual-reference calibration sample are standardized. For example, the first reference characteristic value can be the 0.2 standardized value obtained after the parameter of the nominal 1mm thickness of the pull-out end of the dual-reference calibration sample is normalized by Min-Max.

[0064] The second reference characteristic value is the standard value mapped to the standardized feature space after the characteristic parameters of the equal thickness section of the anchor end in the dual-reference calibration sample are standardized. For example, the second reference characteristic value can be the 0.8 standardized value obtained after the parameter of the nominal 2.5mm thickness of the anchor end of the dual-reference calibration sample is normalized by Min-Max.

[0065] By mapping the feature parameters of the functional segments at both ends of the dual-benchmark calibration sample to a unified standardized feature space, two benchmark feature values ​​are generated corresponding to the equal-thickness segments at the pull-out end and the equal-thickness segments at the anchoring end, respectively. This provides a clear and fixed reference for the subsequent clustering processing of the first benchmark parameter set, avoiding the problem of misalignment between qualified feature centers and corresponding segment features during the clustering process, and ensuring that the benchmark feature centers can match the differentiated segmentation control requirements of the three-segment gradient support strip.

[0066] S220, the first reference parameter set is transformed into the standardized feature space to obtain the first standardized parameter set. The feature values ​​of the first standardized parameter set are clustered. The cluster center closest to the first reference feature value is taken as the first reference feature center, the cluster center closest to the second reference feature value is taken as the second reference feature center, and the remaining cluster centers are taken as the third reference feature center.

[0067] It can be understood that the first standardized parameter set is a data set mapped into the standardized feature space after the first reference parameter set has been standardized and calculated. For example, the first standardized parameter set can be a set of multiple sets of values ​​formed after the thickness, slope and stiffness parameters of each segment of the dual reference calibration sample are normalized, or a dataset formed after the production feature parameters of the pull-out end, transition section and anchoring end of the dual reference calibration sample are standardized.

[0068] Clustering is a data classification method that groups feature data with high similarity into the same category and feature data with low similarity into different categories within a standardized feature space. For example, clustering can divide the feature data corresponding to the thin section at the pull-out end, the thick section at the anchoring end, and the intermediate gradient section in the first standardized parameter set into three mutually independent feature categories.

[0069] Cluster centers are feature vectors that can fully represent all feature attributes of a category after a clustering algorithm fits and calculates all feature data within the same category. They are quantitative representations of the features of that category in a standardized feature space. For example, cluster centers can be feature vectors that can represent the thickness, uniformity, surface quality, and other qualified attributes of a thin section after clustering all qualified feature data of the thin section.

[0070] The standardized feature space distance is a similarity metric between two feature vectors in the standardized feature space. The closer the distance, the higher the similarity between the two features and the stronger the attribute matching. For example, if the Euclidean distance between a cluster center and the first baseline feature value is only 0.015, which is much smaller than its distance from the second baseline feature value of 0.48, it can be determined that the cluster center is highly matched with the baseline feature of the pull-out thin segment.

[0071] By mapping the first set of benchmark parameters to a unified standardized feature space to generate the first standardized parameter set, the interference of differences in the dimensions and magnitudes of different types of production parameters on subsequent analysis is reduced. Then, by clustering with a preset number of clusters, the independent feature categories of the three functional segments of the corresponding support strip are separated. At the same time, the first and second benchmark feature values ​​are fixed references to accurately match and lock the qualified benchmark feature centers of the two equal-thickness segments of the pull-out end and anchoring end. The remaining cluster centers are determined as the qualified benchmark feature centers of the intermediate continuous gradient segment. This improves the problem of misalignment between clustering results and segment control requirements, and also establishes a quantitative judgment benchmark for the control of continuously changing parameters in the gradient segment. This provides support for the generation of subsequent benchmark judgment information and the determination of compliance of parameters in all segments of the production process.

[0072] S230, the second reference parameter set is transformed into the standardized feature space to obtain the second standardized parameter set. The feature values ​​of the second standardized parameter set are clustered, and the cluster center that is farthest from the first reference feature center and the second reference feature center is taken as the fourth reference feature center.

[0073] It can be understood that the second standardized parameter set is the background environment and no-load data set mapped onto the standardized feature space after the second reference parameter set has undergone standardized transformation. For example, the second standardized parameter set can be a dataset formed by normalizing sensor drift and ambient temperature fluctuation data when the equipment is no-load, or a set of standardized values ​​of vibration noise and detection reference deviation data generated by the no-load operation of the production equipment.

[0074] Clustering can be used to group various types of system noise data generated by equipment under no-load conditions into a single feature category, or to integrate background data such as on-site environmental interference and zero-point deviation of testing equipment into a single cluster group.

[0075] Cluster centers can be feature vectors that reflect the baseline level of equipment under no-load testing, or central numerical points that reflect the overall characteristics of noise in the production environment and equipment system.

[0076] The fourth benchmark feature center is the background feature that differs most from the qualified segment feature. It is used to define the boundary between qualified production data and abnormal interference data. For example, the fourth benchmark feature center can be a feature judgment benchmark used to distinguish between normal production parameters and equipment no-load noise, or a feature reference used to identify abnormal working conditions such as material shortage and environmental interference.

[0077] Clustering was used to obtain the cluster centers of the background interference data, and the cluster center that was farthest from the qualified benchmark feature center of the pull-out end and the anchoring end was selected as the fourth benchmark feature center. This completed the construction of the background interference and abnormal feature benchmarks, and provided a boundary judgment basis for subsequent differentiation of qualified production data, filtering of environmental noise and identification of production anomalies.

[0078] S240, the first reference feature center, the second reference feature center, the third reference feature center and the fourth reference feature center are determined as reference judgment information.

[0079] It is understandable that the three qualified segment benchmark feature centers obtained through clustering and screening (corresponding to the pull-out end, anchoring end, and intermediate gradient segment) are integrated with a background interference and abnormal boundary benchmark feature center (the fourth benchmark feature center) to form a judgment standard that covers the qualified features of all segments of the three-segment gradient support strip and takes into account background interference filtering and abnormal identification. This provides a unified and quantifiable reference for the segment identification of subsequent continuous parameter streams, parameter compliance judgment, and closed-loop control of the production process.

[0080] S300, acquire continuous parameter stream; wherein, the continuous parameter stream includes real-time production characteristic parameters of the equal thickness section at the pull-out end, the continuous gradient section in the middle and the equal thickness section at the anchoring end of the three-section gradient support bar, collected by the cable accessory production equipment during the production of the three-section gradient support bar.

[0081] It can be understood that continuous parameter stream is a dynamic data stream that is continuously collected during the production process of three-segment gradient support strips, containing various production-related parameters. It covers real-time parameters of the entire production process. For example, continuous parameter stream can be a continuous data sequence containing data such as support strip thickness, tension, and surface flatness.

[0082] The pull-out end equal thickness section is one end structure of the three-section gradient support strip. It has a uniform thickness without gradient and can be easily pulled out. It is used to install and fix cold shrink accessories. For example, the pull-out end equal thickness section can be a support strip end with a thickness of 1mm or 1.5mm and a flat surface.

[0083] The intermediate continuous gradient section is a transition structure of the three-section gradient support strip. Its thickness gradually changes and connects the pull-out end and the anchoring end. It can balance the smoothness of installation and the stability of the structure. For example, the intermediate continuous gradient section can be a support strip transition section that gradually changes from 1mm to 3mm or from 1mm to 2mm.

[0084] The equal-thickness anchoring end is the other end structure of the three-section gradient support strip. It has uniform thickness and high rigidity and is used to fix the position of the support strip to prevent displacement. For example, the equal-thickness anchoring end can be a support strip end with a thickness of 3mm or 2mm and a flat surface.

[0085] By collecting real-time production characteristic parameters of the equal-thickness section at the pull-out end, the continuous gradual-thickness section in the middle, and the equal-thickness section at the anchoring end during the processing of the three-section gradient support strip by the cable accessory production equipment, a complete continuous parameter stream is formed, which provides basic data support for subsequent segmented control, compliance judgment, and real-time closed-loop adjustment based on the parameter stream.

[0086] The continuous parameter stream can be obtained by continuously collecting real-time production characteristic parameters of the equal-thickness section at the pull-out end, the continuous gradient section in the middle, and the equal-thickness section at the anchoring end during the processing and production of three-section gradient support strips using laser thickness gauges, tension detection sensors, ultrasonic thickness sensors, linear array industrial vision inspection cameras, linear displacement sensors, etc.

[0087] In one possible implementation, please refer to Figure 4 In S300, after obtaining the continuous parameter stream, the method also includes: S310, for each parameter slice in the continuous parameter stream, template matching is performed on the parameter slice based on the preset segmented parameter template to obtain the matched valid parameter slice; wherein, the segmented parameter template is constructed based on the standard production parameters of the equal thickness section at the pull-out end, the continuous gradient section in the middle, and the equal thickness section at the anchoring end.

[0088] It can be understood that parameter slicing is the process of splitting a continuous parameter stream according to preset rules (such as time and material length) to obtain independent and complete parameter segments. For example, parameter slices can be local thickness parameter segments corresponding to the production of the pull-out end, which are extracted from the continuous parameter stream every 0.5 seconds, or local data segments containing gradient parameters of the gradual section, which are extracted from every 5cm support strip material.

[0089] The segmented parameter template is a pre-built parameter reference template based on the standard production parameters of each segment of the three-segment gradient support strip. It is used to determine the segment and parameter validity corresponding to the parameter slice. For example, the segmented parameter template can be a parameter reference template based on the standard thickness of 1mm and uniformity tolerance of ±0.02mm for the equal thickness segment at the pull-out end, or a gradient parameter template based on the uniform gradient of 1-2.5mm in the middle continuous gradient segment and the slope of 0.1mm / cm.

[0090] Template matching is the process of comparing the split parameter slices with preset segmented parameter templates to determine the degree of matching between the parameter slices and the corresponding segmented templates, and filtering out parameters that meet the segmented features. For example, template matching can be to compare the cut thickness parameter slices with the segmented parameter templates of the pull-out end to determine whether they meet the uniform thickness feature of the pull-out end, or to compare the gradient parameter slices of the gradient segment with the gradient segment template to filter out parameter fragments that meet the standard gradient rules, etc.

[0091] Effective parameter slices are parameter slices that have been matched with the corresponding segment parameter templates after template matching, and can reflect the production status of the corresponding segment of the support bar. For example, effective parameter slices can be parameter slices that have been successfully matched with the pull-out end segment template and have met the thickness uniformity standard, or parameter slices that have been matched with the anchoring end template and have stiffness parameters that meet the standard.

[0092] By pre-setting segment parameter templates based on standard parameters for each segment, template matching is performed on each parameter slice to filter out effective parameter slices that can reflect the production status of equal-thickness sections at the pull-out end, continuous gradient sections in the middle, and equal-thickness sections at the anchoring end. Irrelevant and abnormal interference data in the continuous parameter stream are removed, and the production segment corresponding to each parameter slice is clearly identified. This provides data support for subsequent determination of the parameter compliance status of each production segment based on parameter slices and benchmark judgment information.

[0093] In one possible implementation, please refer to Figure 4 S310, for each parameter slice in the continuous parameter stream, perform template matching on the parameter slice based on a preset segmented parameter template to obtain a matched valid parameter slice, including: S311, slide the segmented parameter template along the feature dimension of the parameter slice.

[0094] It can be understood that feature dimension is the classification dimension of various quantitative features used to describe the production quality of support strips in parameter slices. It is the specific benchmark direction for template matching and feature comparison. For example, feature dimension can be thickness value, gradient slope, time, material length, etc.

[0095] Sliding is a dynamic matching operation in which a segmented parameter template is traversed and compared segment by segment along each feature dimension of a parameter slice according to a fixed step size. For example, sliding the segmented parameter template along the feature dimensions of a parameter slice can be a point-by-point sliding comparison of the parameter slice along the thickness feature dimension with a step size of 0.01 mm, or a sliding of the template along the gradient slope feature dimension with a step size of 0.05 cm to match the gradient features of the parameter slice.

[0096] By allowing the segmented parameter template to slide and traverse the feature dimensions of the parameter slice in an orderly manner, all feature intervals of the parameter slice are fully covered, and the degree of fit between the parameter slice and the standard features of each segment of the three-segment gradient support strip is verified without omission, thus avoiding matching errors caused by missing local feature comparisons.

[0097] S312, the feature interval covered by the segmented parameter template on the parameter slice is determined as the sub-parameter slice.

[0098] It can be understood that the feature interval is a continuous range of feature data covered by the piecewise parameter template after it slides on the parameter slice. For example, the feature interval can be a continuous thickness data interval with a length of 5cm covered by the piecewise parameter template on the thickness parameter slice, or a feature data interval with a fixed gradient change covered by the piecewise slope parameter slice.

[0099] A sub-parameter slice is a local parameter fragment extracted from a complete parameter slice according to the template coverage. For example, a sub-parameter slice can be a local parameter fragment extracted from the overall parameter slice that corresponds only to the thin segment features of the pull-out end, or a local gradient feature data fragment extracted from the gradient segment parameter slice that has the same size as the template.

[0100] By defining the feature range covered by the segmented parameter template as sub-parameter slices during the template sliding matching process, feature focusing on the parameter slices is achieved, and local data that matches the standard features of each segment of the three-segment gradient support strip is extracted, thereby improving the accuracy of segment recognition and parameter validity determination.

[0101] S313, determine the similarity between the segmented parameter template and each sub-parameter slice.

[0102] It is understandable that similarity is an indicator used to quantify the degree of feature fit between the segment parameter template (standard reference) and the sub-parameter slice (actually collected data). The higher the value, the better the feature match between the two, and vice versa. For example, the similarity of the thickness uniformity between the pull-out segment parameter template and the corresponding sub-parameter slice is used to judge the degree of fit between the actual data and the standard thickness, and the similarity of the gradient slope between the intermediate gradient segment parameter template and the sub-parameter slice is used to measure the matching between the actual gradient pattern and the standard gradient trend, etc.

[0103] The similarity between the segmented parameter template and each sub-parameter slice can be determined by calculating the Euclidean distance between feature vectors, calculating the Pearson correlation coefficient of the feature sequence, etc., but is not limited to these methods.

[0104] By determining the similarity between the segmented parameter template and each sub-parameter slice, the feature comparison results between the template and the sub-parameter slice are transformed into quantifiable indicators. This allows us to determine whether each sub-parameter slice meets the standard features of the corresponding segment, providing a quantitative basis for subsequent screening of effective parameter slices and removal of abnormal interference data.

[0105] S314: Select the sub-parameter slice with the highest similarity as the valid parameter slice.

[0106] It is understandable that a valid parameter slice refers to a sub-parameter slice that, after similarity comparison, meets the matching degree of the segment parameter template and can reflect the production status of the corresponding segment. For example, a valid parameter slice can be a parameter segment that meets the thickness standard of the pull-out end, a parameter segment that meets the gradient requirements of the gradient segment, etc.

[0107] By selecting the sub-parameter slices with the highest similarity to the segmentation parameter template as valid parameter slices, parameter data that meets the corresponding segmentation standards can be selected, and interfering data that does not match the segmentation features can be eliminated, ensuring that the parameter data used for subsequent compliance determination is true and valid.

[0108] S400 splits the continuous parameter stream into multiple parameter slices according to the production segment, and determines the parameter compliance status of the current production segment based on each parameter slice and the benchmark judgment information.

[0109] It is understandable that production segments are production stages divided according to the different functions of the support strips (such as pull-out end, anchoring end, and transition section), and each segment corresponds to a specific parameter standard.

[0110] Parameter compliance status refers to the degree of consistency between the various data of the parameter slice and the benchmark judgment information. If it meets the standard, it is considered compliant; otherwise, it is considered non-compliant.

[0111] The method for determining the parameter compliance status of the current production segment based on various parameter slices and benchmark judgment information can be through Euclidean distance threshold judgment method and feature dimension deviation rate statistical judgment method. For example, calculate the Euclidean distance between the feature vector of the parameter slice and the first benchmark feature center. If the distance is less than the preset threshold of 0.03, the parameter of the equal thickness section of the pull-out end is judged to be compliant. If it exceeds the threshold, it is judged to be non-compliant. Statistically calculate the numerical deviation rate between the thickness of the parameter slice and the standard gradient of the third benchmark feature center. If the deviation rate does not exceed 2%, the parameter of the intermediate gradient section is judged to be compliant. If it exceeds the threshold, it is judged to be non-compliant.

[0112] By splitting the continuous parameter stream into multiple parameter slices according to production segments, and combining the benchmark judgment information determined in the early stage, the compliance status of each parameter slice is judged, clarifying whether the parameters of the current production segment meet the standards, providing data support for subsequent control and anomaly investigation, ensuring that the parameters of each segment meet the requirements during the production process, guaranteeing product quality, and laying the foundation for subsequent compliance judgment and production adjustment.

[0113] In one possible implementation, please refer to Figure 5 S400, the continuous parameter stream is split into multiple parameter slices according to production segments, and the parameter compliance status of the current production segment is determined based on each parameter slice and benchmark judgment information, including: S410 transforms the parameter slices corresponding to each production segment in the continuous parameter stream into the standardized feature space to obtain standardized parameter slices.

[0114] It can be understood that standardized parameter slices are dimensionless, same-scale parameter fragments obtained by mapping the parameter slices corresponding to each production segment to a unified standardized feature space through a normalization algorithm. For example, the thickness parameter slice of the equal-thickness segment at the pull-out end is normalized to the 0-1 interval by Min-Max to form a standardized parameter fragment, and the gradient parameter slice of the continuous gradient segment in the middle is normalized by Z-Score to obtain a dimensionless parameter fragment, etc.

[0115] By uniformly transforming the original parameter slices corresponding to each production segment in the continuous parameter stream to a standardized feature space, standardized parameter slices are generated, eliminating the differences in dimensions and numerical magnitudes of different types of production parameters, and avoiding calculation deviations when comparing with benchmark judgment information due to inconsistent parameter scales.

[0116] S420 performs feature matching clustering on the feature values ​​of the standardized parameter slices based on the first, second, third, and fourth benchmark feature centers.

[0117] It can be understood that the characteristic value of a standardized parameter slice is a specific numerical value in the standardized parameter slice that can be quantified and reflects the core quality characteristics of the corresponding production segment of the support strip. For example, the characteristic value of a standardized parameter slice can be a standardized value reflecting the thickness uniformity in the standardized parameter slice of the pull-out end (such as 0.23), or a standardized characteristic value reflecting the gradient change law in the standardized parameter slice of the intermediate gradient segment (such as 0.68).

[0118] Feature matching clustering combines four preset baseline feature centers to classify the feature values ​​of standardized parameter slices according to their similarity. For example, feature matching clustering can match the feature values ​​of the standardized parameter slices at the pull-out end with the first baseline feature center to determine that they belong to the qualified feature class of the pull-out end, and match the standardized feature values ​​of the abnormal interference class with the fourth baseline feature center to distinguish between qualified and abnormal data, etc.

[0119] By performing feature matching and clustering on the feature values ​​of standardized parameter slices based on the four benchmark feature centers constructed in the early stage, the standardized feature values ​​of each production segment can be classified into the benchmark feature centers of the corresponding qualified segments (pull-out end, anchor end, and transition segment) or the benchmark feature centers of abnormal interference. This clarifies the feature category corresponding to each standardized parameter slice, effectively distinguishes between qualified and abnormal parameters, and provides a basis for accurately determining the parameter compliance status of each production segment and identifying production anomalies.

[0120] S430, determine the first ratio of the number of features matched to the third baseline feature center to the total feature dimension of the standardized parameter slice.

[0121] It can be understood that the number of features matched to the third baseline feature center refers to the number of valid feature points in the standardized parameter slice that are classified into the third baseline feature center of the corresponding intermediate continuous gradient segment after feature matching and clustering. For example, if a standardized parameter slice of a gradient segment has 10 feature points, and 8 of them match the third baseline feature center, then the number is 8.

[0122] The total feature dimension refers to the total number of dimensions of all feature parameters used to characterize the quality of the corresponding production segment in a standardized parameter slice. For example, the total feature dimension can be 3 for a parameter slice that simultaneously includes three types of indicators: thickness, gradient, and production tension.

[0123] The first ratio is obtained by dividing the number of features matched to the third baseline feature center by the total feature dimension of the standardized parameter slice. For example, 8 matched features / 10 total feature dimensions = 0.8, and this 0.8 is the first ratio.

[0124] By calculating the ratio of the number of features matched to the third baseline feature center to the first feature dimension of the standardized parameter slice, the feature matching clustering results of the intermediate continuous gradient segment are transformed into quantifiable numerical indicators. This directly reflects the proportion of the actual production parameters that match the standard qualified features of the gradient segment, providing a quantitative basis for subsequent determination of the compliance status of the gradient segment parameters and evaluation of the processing accuracy of the gradient segment.

[0125] S440, determine the second ratio of the number of features that match the third reference feature center to the total feature dimension of the dual reference calibration sample.

[0126] It can be understood that the second ratio is the standard reference ratio obtained by dividing the number of features in the dual-benchmark calibration sample that match the third benchmark feature center by its total feature dimensions. For example, if 9 out of the 10 total feature dimensions of the calibration sample match the third benchmark feature center, the resulting 0.9 is the second ratio.

[0127] S450, if the first ratio is greater than or equal to the product of the second ratio and the preset threshold parameter, it is determined that the production segment corresponding to the current parameter slice is in a parameter compliant state; if the first ratio is less than the product of the second ratio and the preset threshold parameter, it is determined that the production segment corresponding to the current parameter slice is in a parameter non-compliant state.

[0128] It is understandable that the preset threshold parameter is a pre-set process fault tolerance coefficient, used to adapt to production fluctuations and adjust the strictness of compliance judgment. For example, the fault tolerance threshold set for regular production can be 0.95, and the threshold set for high-precision processing can be 0.98, etc.

[0129] Parameter compliance status refers to the normal production status where the actual feature matching degree of the production segment meets the standard and the production parameters conform to the process standard. Parameter non-compliance status refers to the abnormal status where the actual feature matching degree of the production segment does not meet the standard and the production parameters deviate from the process standard.

[0130] By comparing the first ratio with the second ratio and the product of the preset threshold parameter, the compliance or non-compliance status of the production segment corresponding to the current parameter slice is clearly defined in a quantitative way. This enables an objective judgment of the production quality of the intermediate continuous gradual transition segment, providing a basis for subsequent production parameter correction, abnormal working condition handling, and full-process quality control.

[0131] S500 obtains the closed-loop control output value of the corresponding production segment based on the continuous parameter flow and parameter compliance status; among which, the closed-loop control output value is used to control the three-section gradient support strip of the cable accessory production equipment for producing pre-expanded cold-shrink cable accessories.

[0132] It is understandable that the closed-loop control output value is a control quantity calculated based on the continuous parameter flow and the parameter compliance status of the corresponding production segment. It is used to directly adjust the operating parameters of the cable accessory production equipment to achieve automatic correction of the production process.

[0133] The closed-loop control output value is used to control the corresponding production unit (extrusion molding unit, spiral winding unit, etc.) of the cable accessory production equipment.

[0134] The closed-loop control output value for the corresponding production segment based on the continuous parameter flow and parameter compliance status can be obtained through PI proportional-integral adjustment calculation (proportional-integral control) or threshold-triggered direct output. For example, based on the gradual thickness deviation and parameter non-compliance status of the continuous parameter flow, the PI algorithm outputs a control value of 0.02mm for mold clearance compensation (if the thickness of the middle continuous gradual section of the three-segment gradual support bar is too small, the PI algorithm calculates and outputs a control amount to increase the mold clearance based on the thickness deviation, so that the thickness gradually returns to the standard value; if the production line traction speed is too fast, causing the slope of the gradual section to be incorrect, the PI algorithm outputs a closed-loop control value to reduce the traction speed based on the slope deviation, so that the gradient returns to the qualified state). When the parameters at the drawing end are in compliance status, the output command value is to maintain the current operating speed of the equipment; if the parameters are non-compliant, the output control value is to reduce the traction speed by 5mm / s, etc.

[0135] By combining the real-time collected continuous parameter stream with the determined compliance status of each production segment parameter, a closed-loop control output value that can be directly applied to the cable accessory production equipment is generated. The quality judgment result is transformed into an executable equipment control command, enabling real-time automatic adjustment of parameter deviations during the production process. This ensures that the production parameters of each segment of the three-section gradient support bar continuously meet the standards, stabilizing product processing quality.

[0136] In one possible implementation, please refer to Figure 5 S500, based on continuous parameter flow and parameter compliance status, obtains the closed-loop control output value for the corresponding production segment, including: S510 iterates through all parameter slices in the continuous parameter stream and determines the starting node of segmented production and the benchmark starting point based on the parameter compliance status.

[0137] It can be understood that the starting point of segmented production refers to the position or time marker at which a certain production segment, such as the pull-out end, the transition section, or the anchoring end, officially begins processing in actual production.

[0138] The benchmark alignment starting point refers to the standard reference position of each segment boundary on the dual benchmark calibration sample, which is used to calibrate the starting accuracy of the actual production segment.

[0139] The method for determining the starting node of segmented production and the starting point of benchmarking based on the compliance status of parameters can be as follows: if the current parameter slice is in an uncompliant state and its previous parameter slice is in a compliant state, then the current parameter slice is determined as the starting node of segmented production and the corresponding time point of the slice is set as the starting point of benchmarking. Alternatively, when the parameter slice switches from matching the previous benchmark feature center to matching the current benchmark feature center and the compliance status changes accordingly, it is determined as the starting node of segmented production and the starting point of benchmarking.

[0140] By fully traversing all parameter slices in the continuous parameter stream and combining the parameter compliance status of each slice, the starting node of the actual segmented production and the benchmark starting point of the standard sample are located. This achieves the benchmark calibration between the actual production segment boundary and the standard benchmark position, providing a position benchmark for subsequent segment parameter determination, closed-loop control, and production segment boundary correction.

[0141] In one possible implementation, please refer to Figure 5 S510, traverse all parameter slices in the continuous parameter stream, and determine the starting node of segmented production and the benchmark starting point based on the parameter compliance status, including: S511, traverse all parameter slices in the continuous parameter stream.

[0142] It is understandable that by accessing all parameter slices in the continuous parameter stream one by one in sequence, a data foundation is provided for accurately locating the segmented production start node and determining the benchmark benchmark start point in combination with the parameter compliance status.

[0143] S512, if the feature matching result of the current parameter slice changes from matching the benchmark feature center corresponding to the previous production segment and being in the parameter compliance state of the previous production segment to matching the benchmark feature center corresponding to the current production segment and being in the parameter compliance state of the current production segment, and if three consecutive parameter slices are in the parameter compliance state of the current production segment, then the parameter slice whose first feature matching result is matching the benchmark feature center corresponding to the current production segment and being in the parameter compliance state of the current production segment is determined as the starting node of segment production of the current production segment.

[0144] It is understandable that the current parameter slice is a local parameter data fragment that is currently being processed and is in the process of compliance judgment.

[0145] The corresponding reference feature centers refer to the qualification standards of the equal thickness section at the pull-out end corresponding to the first reference feature center, the qualification standards of the equal thickness section at the anchoring end corresponding to the second reference feature center, and the qualification standards of the intermediate continuous gradient section corresponding to the third reference feature center.

[0146] The feature matching result is the attribution determination result obtained by calculating the similarity between the feature values ​​of the parameter slice and each benchmark feature center. It is used to clarify the production segment type corresponding to the parameter slice. For example, the feature matching result of a parameter slice is that it matches the first benchmark feature center, and the feature matching result of another parameter slice is that it matches the third benchmark feature center.

[0147] By setting the switching rules for the matching results of parameter slice features and the verification conditions for continuous compliant slices, the judgment criteria for the starting nodes of each production segment of the three-segment gradient support bar are defined. This can automatically identify the processing boundary positions of different production segments, avoid segment boundary judgment deviations, and provide position and timing benchmarks for the subsequent parameter compliance verification of each production segment.

[0148] S513, determine the time point corresponding to the current parameter slice as the benchmark starting point.

[0149] It is understandable that the current parameter slice is the parameter data fragment that is determined as the starting node of segment production during the traversal process and is used to locate the segment boundary.

[0150] The corresponding time point is the real-time acquisition moment or production time sequence marker when the parameter slice is acquired.

[0151] By defining the time point corresponding to the current parameter slice that has been determined as the starting node of segmented production as the benchmark starting point, a time benchmark for the actual production segment boundary is established, which can provide a unified time reference for subsequent steps and ensure the consistency of the benchmark for segmented parameter comparison and quality judgment.

[0152] S520: Traverse all parameter slices after the starting node, and determine the trigger node for segmented parameter deviation based on the feature difference values ​​of adjacent parameter slices.

[0153] It can be understood that the characteristic difference value of adjacent parameter slices refers to the quantified difference between the characteristic values ​​(such as thickness and gradient) of two adjacent parameter slices in terms of time sequence or material sequence.

[0154] The trigger node for segmented parameter deviation refers to the parameter slice after the starting node where the feature difference value first exceeds the preset standard, reflecting that the production parameters have begun to deviate from the compliance range.

[0155] Based on the feature difference values ​​of adjacent parameter slices, the triggering node for segmented parameter deviation can be determined by pre-setting an upper limit for the feature difference. When the feature difference value of adjacent parameter slices exceeds the threshold for the first time, the current parameter slice is directly determined as the triggering node for segmented parameter deviation. Alternatively, the feature difference values ​​of multiple sets of adjacent parameter slices can be accumulated and calculated. When the accumulated difference value reaches the preset deviation threshold, the last slice is determined as the triggering node for segmented parameter deviation.

[0156] By traversing all parameter slices after the starting node of segmented production, calculating and analyzing the characteristic difference values ​​of adjacent parameter slices, the trigger node where segmented parameters begin to deviate can be located, capturing the starting moment when production parameters deviate from compliance standards. This provides a basis for quickly investigating the cause of deviation, initiating closed-loop control, and curbing further expansion of parameter deviation.

[0157] In one possible implementation, please refer to Figure 5 S520, traverse all parameter slices after the starting node, and determine the trigger node for segmented parameter deviation based on the feature difference values ​​of adjacent parameter slices, including: S521, traverse all parameter slices after the starting node.

[0158] It is understandable that by taking the determined segmented production start node as the starting point and traversing all subsequent parameter slices one by one, the complete coverage of the parameters of the entire segmented production process can be achieved, providing a data foundation for subsequent calculation of the feature difference values ​​of adjacent parameter slices and locating the segmented parameter deviation trigger node.

[0159] S522, calculate the feature difference value between adjacent parameter slices.

[0160] It is understandable that the characteristic difference value between adjacent parameter slices can be calculated by directly subtracting the characteristic value of the previous slice from the characteristic value of the subsequent slice and taking the absolute value to obtain the characteristic difference value, or by first normalizing the characteristic value and then calculating the difference value to eliminate the influence of dimensions and obtain the relative characteristic difference value, etc.

[0161] By calculating the feature difference values ​​between adjacent parameter slices, the parameter changes in the segmented production process are transformed into quantifiable values, which intuitively reflect the parameter fluctuation range and provide a quantitative basis for subsequent judgment of whether the parameters deviate abnormally and to locate the trigger node of segmented parameter deviation.

[0162] S523, arrange the feature difference values ​​in descending order, select the time point corresponding to the parameter slice with the later time sequence in the adjacent parameter slices corresponding to the feature difference values ​​with the preset ranking before sorting, and determine it as the trigger node of the segmented parameter deviation.

[0163] It is understandable that the preset ranking is a pre-set sorting and selection position used to filter out the feature difference values ​​with the largest fluctuation range.

[0164] A parameter slice with a later time sequence is a slice in a pair of adjacent parameter slices that was collected at a later time and produced later in the order.

[0165] By sorting all feature difference values ​​from largest to smallest, the time point of the adjacent slice corresponding to the difference value with the preset ranking before sorting is selected as the deviation trigger node. Based on the maximum fluctuation feature of the parameter, the starting time of the segment parameter anomaly is located, providing a time benchmark for timely production deviation correction and closed-loop control.

[0166] The S530, based on the correspondence between the deviation trigger node and the benchmark starting point, outputs the corresponding servo adjustment amount as the closed-loop control output value for the production segment.

[0167] Based on the correspondence between the deviation trigger node and the reference alignment start point, the corresponding servo adjustment amount can be output in two ways: First, by multiplying the time difference between the deviation trigger node and the reference alignment start point by a preset proportional coefficient (the preset proportional coefficient is used to convert the deviation magnitude into the corresponding servo adjustment amount according to a fixed ratio, so that the adjustment amplitude is proportional to the degree of deviation), the servo adjustment amount is calculated (for example, if the time difference between the deviation trigger node and the reference alignment start point is 0.2s and the proportional coefficient is 0.1mm / s, then the output die gap servo adjustment amount is 0.02mm (used to indicate the extrusion molding unit)). Second, the time difference between the deviation trigger node and the reference alignment start point can be divided into different intervals, with each interval corresponding to a fixed servo adjustment amount and output directly (for example, when the time difference between the deviation trigger node and the reference alignment start point is in the range of 0.1-0.3s, the output servo adjustment amount is a 5mm / s reduction in the production line traction speed (used to control the traction unit)).

[0168] It is understandable that by associating the deviation trigger node with the benchmark starting point, the servo adjustment amount that adapts to the degree of deviation is calculated and output, and used as the closed-loop control output value of the production segment, the connection from deviation identification to equipment control is realized, the deviation of production parameters is corrected in a timely manner, the parameters of the production segment return to the compliance standard, and the stability of product processing quality is guaranteed.

[0169] In one possible implementation, the first reference feature center is the standard feature set corresponding to the ideal qualified state of the equal thickness section at the pull-out end of the three-segment gradient support bar; the second reference feature center is the standard feature set corresponding to the ideal qualified state of the equal thickness section at the anchoring end of the three-segment gradient support bar; the third reference feature center is the standard feature set corresponding to the ideal qualified change law of the continuous gradient section in the middle of the three-segment gradient support bar; and the fourth reference feature center is the boundary feature set corresponding to the production no-load state, system noise, and production anomalies.

[0170] The combination of the cold shrink sleeve and the three-section gradient support strip can be achieved by first spirally enclosing the three-section gradient support strip along its own axis to form a hollow cylindrical rigid support frame, and then assembling the cold shrink sleeve coaxially around the outer circumference of the rigid support frame. The rigid support frame radially and evenly expands the cold shrink sleeve, allowing the inner circumferential surface of the cold shrink sleeve to tightly abut against the outer circumferential surface of the support frame formed by the three-section gradient support strip. Ultimately, the cold shrink sleeve is stably maintained in the pre-expanded state, thus completing the combination assembly of the cold shrink sleeve and the three-section gradient support strip.

[0171] The cable accessory production equipment provided in this application embodiment may include an extrusion molding unit (single-screw extruder, twin-screw co-extruder, etc.), a spiral winding unit (which may include a winding mandrel (support strips are wound along its outer surface, such as a stainless steel mirror winding mandrel, an anodized aluminum alloy winding mandrel, etc.) and a rotary clamping mechanism (used to drive the winding mandrel to rotate at a constant speed around its own central axis via a servo motor, such as a horizontal three-jaw pneumatic chuck type rotary clamping mechanism, a vertical double-end tip type rotary clamping mechanism, etc.)), and a traction unit (used to traction the movement of a three-segment gradient support strip, which may be a winding constant tension traction subunit installed at the front feed end of the spiral winding unit, or an extrusion synchronous servo traction subunit). The equipment includes an extrusion molding unit die head and a cooling water tank, a multi-dimensional detection unit (which may include data acquisition devices such as laser thickness sensors, tension sensors, and industrial cameras), and a control unit (which may be a general-purpose programmable logic controller, a programmable automation controller, or an embedded microcontroller). The extrusion molding unit, the spiral winding unit, the traction unit, and the multi-dimensional detection unit are all communicatively connected to the control unit. The control unit may include at least one processor, at least one memory, and a computer program stored in at least one memory and capable of running on at least one processor. When the processor executes the computer program, it enables the cable accessory production equipment to implement the steps in any of the above embodiments of the pre-expanded cold-shrink cable accessory production method.

[0172] For example, a computer program can be divided into one or more modules / units, one or more of which are stored in memory and executed by a processor to complete this application. One or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the control unit.

[0173] The processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0174] In some embodiments, the memory may be an internal storage unit of the control unit, such as the hard disk or RAM of the control unit. In other embodiments, the memory may be an external storage device of the control unit, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the control unit. Furthermore, the memory may include both internal storage units and external storage devices of the control unit. The memory is used to store the operating system, applications, bootloader, data, and other programs, such as program code for computer programs. The memory can also be used to temporarily store data that has been output or will be output.

[0175] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0176] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0177] In the embodiments provided in this application, it should be understood that the disclosed pre-expanded cold-shrink cable accessories and methods can be implemented in other ways. For example, the embodiments of the pre-expanded cold-shrink cable accessories and methods described above are merely illustrative. Furthermore, the mutual couplings or direct couplings or communication connections shown or discussed can be indirect couplings or communication connections through some interfaces, devices, or units, and can be electrical, mechanical, or other forms.

[0178] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0179] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A pre-expanded cold-shrink cable accessory, characterized in that, include: Cold shrink sleeve; as well as The three-section gradient support strip has, along the production material feeding direction, a pull-out end section of equal thickness, a middle continuous gradient section, and an anchoring end section of equal thickness. The radial thickness of the middle continuous gradient section is greater than the radial thickness of the pull-out end section of equal thickness but less than the radial thickness of the anchoring end section of equal thickness. The three-section gradient support strip is used to spirally enclose the hollow cylindrical rigid support frame along the axial direction to form a hollow cylindrical rigid support frame. The cold shrink sleeve is coaxially sleeved on the outer periphery of the hollow cylindrical rigid support frame, and is radially expanded by the hollow cylindrical rigid support frame and maintained in a pre-expanded state. The inner circumferential surface of the cold shrink sleeve is in close contact with the outer circumferential surface of the hollow cylindrical rigid support frame. The web section of the three-section gradient support bar is an asymmetrical parallelogram or trapezoid. The angle between the side of the web of the three-section gradient support bar facing the equal-thickness section of the pull-out end and the web plane is an acute angle, and the side of the web facing the equal-thickness section of the anchoring end is a right angle or an obtuse angle, so that the three-section gradient support bar has an anti-torsional self-locking tendency in the spiral state.

2. A method for producing a three-section gradient support strip for a pre-expanded cold-shrink cable accessory, characterized in that, The method for producing a three-section gradient support strip for a pre-expanded cold-shrink cable accessory as described in claim 1, the method comprising: Obtain a first reference parameter set and a second reference parameter set; wherein, the first reference parameter set includes a standardized qualified reference dataset of dual-reference calibration samples collected by the cable accessory production equipment, and the second reference parameter set is a background environment reference dataset collected by the cable accessory production equipment under no-load operation. Benchmark judgment information is obtained based on the first benchmark parameter set and the second benchmark parameter set; wherein, the benchmark judgment information includes a first benchmark feature center, a second benchmark feature center, a third benchmark feature center, and a fourth benchmark feature center; Acquire a continuous parameter stream; wherein, the continuous parameter stream includes real-time production characteristic parameters of the three-section gradient support bar, including the equal thickness section at the pull-out end, the continuous gradient section in the middle, and the equal thickness section at the anchoring end, collected by the cable accessory production equipment during the production of the three-section gradient support bar. The continuous parameter stream is divided into multiple parameter slices according to the production segment, and the parameter compliance status of the current production segment is determined based on each parameter slice and the benchmark judgment information. Based on the continuous parameter flow and the parameter compliance status, the closed-loop control output value corresponding to the production segment is obtained; wherein, the closed-loop control output value is used to control the cable accessory production equipment to produce the three-section gradient support strip of the pre-expanded cold shrink cable accessory.

3. The production method as described in claim 2, characterized in that, The process of obtaining benchmark judgment information based on the first benchmark parameter set and the second benchmark parameter set includes: The characteristic parameters of the dual-reference calibration sample are transformed into a standardized feature space to obtain a first reference characteristic value and a second reference characteristic value; wherein, the first reference characteristic value corresponds to the equal-thickness section of the pull-out end, and the second reference characteristic value corresponds to the equal-thickness section of the anchoring end; The first reference parameter set is transformed into the standardized feature space to obtain the first standardized parameter set. The feature values ​​of the first standardized parameter set are clustered. The cluster center closest to the first reference feature value is taken as the first reference feature center, the cluster center closest to the second reference feature value is taken as the second reference feature center, and the remaining cluster centers are taken as the third reference feature center. The second reference parameter set is transformed into the standardized feature space to obtain the second standardized parameter set. The feature values ​​of the second standardized parameter set are clustered, and the cluster center that is farthest from the first reference feature center and the second reference feature center is taken as the fourth reference feature center. The first reference feature center, the second reference feature center, the third reference feature center, and the fourth reference feature center are determined as the reference judgment information.

4. The production method as described in claim 2, characterized in that, After acquiring the continuous parameter stream, the method further includes: For each parameter slice in the continuous parameter stream, template matching is performed on the parameter slice based on a preset segmented parameter template to obtain a matched valid parameter slice; wherein, the segmented parameter template is constructed based on the standard production parameters of the equal thickness section at the pull-out end, the continuous gradient section in the middle, and the equal thickness section at the anchoring end.

5. The production method as described in claim 4, characterized in that, The step of performing template matching on parameter slices based on preset segmented parameter templates to obtain matched valid parameter slices includes: The segmented parameter template is slid along the feature dimensions of the parameter slice; The feature region covered by the segmented parameter template on the parameter slice is determined as the sub-parameter slice; Determine the similarity between the segmented parameter template and each sub-parameter slice; The sub-parameter slice with the highest similarity is taken as the effective parameter slice.

6. The production method as described in claim 2, characterized in that, The determination of the parameter compliance status of the current production segment based on each parameter slice and the benchmark judgment information includes: The parameter slices corresponding to each production segment in the continuous parameter stream are transformed into a standardized feature space to obtain standardized parameter slices; The feature values ​​of the standardized parameter slices are clustered based on the first benchmark feature center, the second benchmark feature center, the third benchmark feature center, and the fourth benchmark feature center; Determine a first ratio between the number of features matched to the third baseline feature center and the total feature dimension of the standardized parameter slice; Determine a second ratio between the number of features that match the third reference feature center and the total feature dimension of the dual-reference calibration sample; If the first ratio is greater than or equal to the product of the second ratio and the preset threshold parameter, it is determined that the production segment corresponding to the current parameter slice is in a parameter compliant state; if the first ratio is less than the product of the second ratio and the preset threshold parameter, it is determined that the production segment corresponding to the current parameter slice is in a parameter non-compliant state.

7. The production method as described in claim 2, characterized in that, The process of obtaining the closed-loop control output value corresponding to the production segment based on the continuous parameter stream and the parameter compliance status includes: Traverse all parameter slices in the continuous parameter stream and determine the starting node of segmented production and the benchmark starting point based on the parameter compliance status; Traverse all parameter slices after the starting node, and determine the trigger node for segmented parameter deviation based on the feature difference values ​​of adjacent parameter slices; Based on the correspondence between the deviation trigger node and the benchmark starting point, the corresponding servo adjustment amount is output as the closed-loop control output value of the production segment.

8. The production method as described in claim 7, characterized in that, The process of traversing all parameter slices in the continuous parameter stream and determining the starting node of segmented production and the benchmark starting point based on parameter compliance status includes: Iterate through all parameter slices in the continuous parameter stream; If the feature matching result of the current parameter slice changes from matching the benchmark feature center corresponding to the previous production segment and being in the parameter compliance state of the previous production segment, to matching the benchmark feature center corresponding to the current production segment and being in the parameter compliance state of the current production segment, and if three consecutive parameter slices are in the parameter compliance state of the current production segment, then the parameter slice whose first feature matching result is matching the benchmark feature center corresponding to the current production segment and being in the parameter compliance state of the current production segment is determined as the starting node of segment production for the current production segment; Determine the time point corresponding to the current parameter slice as the benchmark starting point.

9. The production method as described in claim 7, characterized in that, The process of traversing all parameter slices after the starting node, and determining the trigger node for segmented parameter deviation based on the feature difference values ​​of adjacent parameter slices, includes: Iterate through all parameter slices after the starting node; Calculate the feature difference values ​​between adjacent parameter slices; The feature difference values ​​are arranged in descending order. The time point corresponding to the parameter slice with the later time sequence in the adjacent parameter slices corresponding to the feature difference values ​​with the preset ranking before sorting is selected as the trigger node for the segmented parameter deviation.

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