A method for coordinated control of stretching and heating in heat shrinking processes

Abstract

This invention discloses a method for coordinated control of stretching and heating in heat shrinking processes, relating to the field of heat shrinking control technology. The method includes: obtaining basic information about the target heat shrink tubing and the outer diameter of the cable to be wrapped; obtaining a heat shrinking parameter prediction model for the heat shrink tubing, which outputs the predicted length, predicted inner diameter, and predicted density after heat shrinking; calculating the predicted wall thickness after heat shrinking when the predicted length meets the stretch ratio threshold and the predicted inner diameter meets the inner diameter threshold; and initializing the heat shrink tubing stretching and heating devices when the cable is inserted into the target heat shrink tubing, and then performing coordinated control of heat shrinking stretching and heating. This invention solves the technical problems of existing technologies that cannot accurately control the size and wall thickness of the heat shrink tubing, resulting in poor cable wrapping effects and insufficient process stability, thus ensuring the effectiveness of cable wrapping.

Description

Technical Field

[0001] This invention relates to the field of heat shrink control technology, and more specifically to a method for coordinated control of stretching and heating in heat shrinking processes. Background Technology

[0002] In traditional heat shrink tubing processes, heat shrink tubing undergoes radial shrinkage and axial deformation after being heated to a certain temperature, typically used for cable wrapping and protection. However, in existing technologies, the wall thickness of heat shrink tubing often increases significantly during shrinkage, potentially more than doubling the original thickness. This can cause assembly interference in applications with strict dimensional requirements, such as cable wrapping in precision equipment, failing to meet space-constrained design requirements. Secondly, the lack of precise control over parameters such as heating temperature and stretching speed makes it difficult to achieve consistent and accurate final dimensions, leading to process instability. Furthermore, traditional methods struggle to achieve dynamic adjustments; once process parameters are set, they cannot be optimized in real time, further limiting the improvement of heat shrink tubing performance. Summary of the Invention

[0003] This application provides a method for coordinated control of stretching and heating in heat shrinking processes, which addresses the technical problems in existing technologies where the size and wall thickness of heat shrink tubing cannot be precisely controlled, resulting in poor cable wrapping effects and insufficient process stability.

[0004] In view of the above problems, this application provides a method for coordinated control of stretching and heating in heat shrinking processes.

[0005] This application provides a method for coordinated control of stretching and heating in a heat shrinking process, the method comprising:

[0006] Obtain basic information about the target heat shrink tubing and the outer diameter of the cable to be wrapped. The basic information includes the initial density, initial inner diameter, initial wall thickness, and initial length of the heat shrink tubing before heat shrinking, as well as the wall thickness threshold, stretch ratio threshold, and inner diameter threshold after heat shrinking. The inner diameter threshold is greater than the outer diameter of the cable to be wrapped and has a preset inner diameter deviation from it. The wall thickness threshold is less than or equal to the initial wall thickness. Obtain a heat shrink tubing heat shrinking parameter prediction model. This model is used to process the heat shrink tubing stretching speed and heating temperature, as well as the initial density, initial inner diameter, and initial wall thickness. The initial length is used to output the predicted length, predicted inner diameter, and predicted density after heat shrinking. When the predicted length meets the stretch ratio threshold and the predicted inner diameter meets the inner diameter threshold, the predicted wall thickness after heat shrinking is calculated based on the predicted length, predicted inner diameter, and predicted density to obtain the predicted wall thickness. When the predicted wall thickness meets the wall thickness threshold, the heat shrink tubing stretching device is initialized using the heat shrink tubing stretching speed, and the heat shrink tubing heating device is initialized using the heat shrink tubing heating temperature. After the cable is inserted into the target heat shrink tubing, heat shrinking stretching and heating are controlled in a coordinated manner.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] This application obtains basic information about the target heat shrink tubing and the outer diameter of the cable to be wrapped. The basic information includes the initial density, initial inner diameter, initial wall thickness, and initial length of the heat shrink tubing before heat shrinking, as well as the wall thickness threshold, stretch ratio threshold, and inner diameter threshold after heat shrinking. The inner diameter threshold is greater than the outer diameter of the cable to be wrapped and has a preset inner diameter deviation from the outer diameter of the cable to be wrapped. The wall thickness threshold is less than or equal to the initial wall thickness. A heat shrinking parameter prediction model is obtained, which is used to process the heat shrink tubing stretching speed and heating temperature, as well as the initial density, initial inner diameter, and initial wall thickness. The system calculates the heat-shrinkable wall thickness based on the initial length, predicted heat-shrinkable inner diameter, and predicted heat-shrinkable density. When the predicted heat-shrinkable length meets the stretch ratio threshold and the predicted heat-shrinkable inner diameter meets the inner diameter threshold, the predicted heat-shrinkable wall thickness is calculated based on the predicted heat-shrinkable length, predicted heat-shrinkable inner diameter, and predicted heat-shrinkable density. When the predicted heat-shrinkable wall thickness meets the wall thickness threshold, the heat-shrinkable tube stretching device is initialized using the heat-shrinkable tube stretching speed, and the heat-shrinkable tube heating device is initialized using the heat-shrinkable tube heating temperature. After the cable is inserted into the target heat-shrinkable tube, coordinated control of heat-shrinking stretching and heating is performed. This invention addresses the technical problems of existing technologies, such as the inability to accurately control the size and wall thickness of heat shrink tubing, leading to poor cable wrapping effects and insufficient process stability. By constructing a heat shrink tubing heat shrinking parameter prediction model, and combining the basic information of the target heat shrink tubing and the outer diameter of the cable to be wrapped, the model calculates the length, inner diameter, and wall thickness after heat shrinking. By comparing these values ​​with a set threshold, the model dynamically adjusts the stretching speed and heating temperature, and initializes the equipment to achieve coordinated control of heat shrinking stretching and heating. This precise control of the heat shrink tubing size and wall thickness ensures effective cable wrapping. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. 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 a method for coordinated control of stretching and heating in a heat shrinking process provided in an embodiment of this application;

[0011] Figure 2 This is a schematic diagram of the process for updating the stretching speed and heating temperature of the heat shrink tubing in the stretching and heating coordinated control method for heat shrinking process provided in the embodiments of this application. Detailed Implementation

[0012] This application provides a method for coordinated control of stretching and heating in heat shrinking processes. This method addresses the technical problems of existing technologies, such as the inability to accurately control the size and wall thickness of heat shrink tubing, leading to poor cable wrapping effects and insufficient process stability. By constructing a heat shrinking parameter prediction model for the heat shrink tubing, and combining the basic information of the target heat shrink tubing and the outer diameter of the cable to be wrapped, the method calculates the length, inner diameter, and wall thickness after heat shrinking. The calculated values ​​are compared with set thresholds, and the stretching speed and heating temperature are dynamically adjusted. The device is then initialized to achieve coordinated control of heat shrinking stretching and heating, precisely controlling the size and wall thickness of the heat shrink tubing to ensure effective cable wrapping.

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0014] It should be noted that any variation of the terms "comprising" and "having" is intended to cover non-exclusive inclusion, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such processes, methods, products, or devices.

[0015] Examples, such as Figure 1 As shown, this application provides a method for coordinated control of stretching and heating in a heat shrinking process, applied to a coordinated control system for stretching and heating in a heat shrinking process. The system is communicatively connected to a heat shrinking device, which includes a heat shrink tubing stretching device and a heat shrink tubing heating device. The method includes:

[0016] Step S100: Obtain the basic information of the target heat shrink tubing and the outer diameter of the cable to be wrapped. The basic information of the target heat shrink tubing includes the initial density, initial inner diameter, initial wall thickness, and initial length of the heat shrink tubing before heat shrinking, as well as the wall thickness threshold, stretch ratio threshold, and inner diameter threshold of the heat shrink tubing after heat shrinking. The inner diameter threshold is greater than the outer diameter of the cable to be wrapped and has a preset inner diameter deviation from the outer diameter of the cable to be wrapped. The wall thickness threshold is less than or equal to the initial wall thickness.

[0017] In this embodiment, the heat shrinking equipment includes a heat shrink tubing stretching device and a heat shrink tubing heating device, which are used to axially stretch the heat shrink tubing and uniformly heat it, respectively, so as to achieve wall thickness reduction and precise dimensional control.

[0018] The basic information of the target heat shrink tubing and the outer diameter of the cable to be wrapped are obtained by retrieving data from a preset database. The outer diameter of the cable to be wrapped refers to the outer diameter of the target cable.

[0019] The basic information of the target heat shrink tubing includes the initial density, initial inner diameter, initial wall thickness, and initial length before heat shrinking, as well as the wall thickness threshold, stretch ratio threshold, and inner diameter threshold after heat shrinking. The initial density represents the mass per unit volume of the heat shrink tubing material, the initial inner diameter is the inner diameter of the heat shrink tubing before heat shrinking, the initial wall thickness is the wall thickness of the heat shrink tubing before heat shrinking, and the initial length is the axial length before heat shrinking.

[0020] The wall thickness threshold specifies the maximum wall thickness after heat shrinking, and this threshold must be less than or equal to the initial wall thickness. The stretch ratio threshold is the maximum permissible ratio of the heat-shrinked length to the initial length. The inner diameter threshold refers to the minimum permissible inner diameter of the heat-shrink tubing, ensuring that the tubing can properly wrap the cable. The inner diameter threshold is greater than the outer diameter of the cable and maintains a preset inner diameter deviation to ensure a tight fit between the heat-shrink tubing and the cable. The wall thickness threshold, stretch ratio threshold, inner diameter threshold, and preset inner diameter deviation are pre-set by technical experts and stored in a pre-defined database.

[0021] Step S200: Obtain the heat shrinking parameter prediction model of the heat shrink tubing, wherein the heat shrinking parameter prediction model is used to process the heat shrink tubing stretching speed and heat shrink tubing heating temperature, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length, and outputs the predicted length, predicted inner diameter, and predicted density after heat shrinking.

[0022] In this embodiment, a pre-constructed heat shrink tubing parameter prediction model is first obtained. Next, technical experts set constraint ranges for the heat shrink tubing stretching speed and heating temperature. Then, within these constraint ranges, multiple combinations of heat shrink tubing stretching speed and heating temperature are generated by random assignment to simulate various possible heat shrinking process conditions. Next, multiple sub-channels of the heat shrink tubing parameter prediction model are used to process these heat shrink tubing stretching speeds, heating temperatures, and input parameters such as initial density, initial inner diameter, initial wall thickness, and initial length. Each sub-channel independently calculates and outputs the corresponding initial predicted length, initial predicted inner diameter, and initial predicted density after heat shrinking. After obtaining multiple prediction results, the several initial predicted lengths, initial predicted inner diameters, and initial predicted densities after heat shrinking are summarized using a mode fully connected computation method, finally outputting the predicted length, predicted inner diameter, and predicted density after heat shrinking.

[0023] Furthermore, in the method provided in the application embodiment, a heat shrink tubing heat shrink parameter prediction model is obtained. This model processes the heat shrink tubing stretching speed and heating temperature, as well as the initial density, initial inner diameter, initial wall thickness, and initial length, outputting the predicted length, predicted inner diameter, and predicted density after heat shrinking. The method further includes:

[0024] Set a constraint range for the stretching speed of heat shrink tubing and a constraint range for the heating temperature of heat shrink tubing; perform random assignment based on the constraint ranges to obtain the stretching speed and heating temperature of the heat shrink tubing; process the stretching speed, heating temperature, initial density, initial inner diameter, initial wall thickness, and initial length of the heat shrink tubing through several heat shrink parameter prediction sub-channels of the heat shrink tubing parameter prediction model, and output several initial predicted lengths, initial predicted inner diameters, and initial predicted densities after heat shrinking; perform mode fully connected calculations on the initial predicted lengths, inner diameters, and densities after heat shrinking to obtain the predicted lengths, inner diameters, and densities after heat shrinking.

[0025] In this embodiment, technical experts first set the stretching speed constraint range and the heating temperature constraint range for the heat shrink tubing. The stretching speed constraint range defines the axial stretching speed range during heat shrinking, ensuring that the tubing can achieve wall thickness reduction without breaking during stretching. The heating temperature constraint range limits the temperature range provided by the heating device, ensuring that the heat shrink tubing completes radial shrinkage and axial stretching within the material's allowable temperature range.

[0026] Next, based on the constraint range of the heat shrink tubing stretching speed and the constraint range of the heat shrink tubing heating temperature, the Monte Carlo method is used to perform random assignment to obtain the heat shrink tubing stretching speed and the heat shrink tubing heating temperature.

[0027] Subsequently, through several heat shrink tubing parameter prediction sub-channels of the pre-built heat shrink tubing parameter prediction model, the heat shrink tubing stretching speed, heat shrink tubing heating temperature, initial density, initial inner diameter, initial wall thickness, and initial length are processed to output several initial predicted lengths, several initial predicted inner diameters, and several initial predicted densities after heat shrinking.

[0028] Finally, the mode fully connected computation method is used to integrate all the initial prediction results. The mode fully connected method selects the most frequent value as the final output by statistically analyzing the distribution frequency of each prediction value. Through this process, mode fully connected computations are performed on several initial predicted lengths, inner diameters, and densities after heat shrinking, yielding the predicted length, inner diameter, and density after heat shrinking, respectively. The predicted length, inner diameter, and density after heat shrinking are the most frequently occurring prediction length, inner diameter, and density among the given initial predicted lengths, inner diameters, and densities.

[0029] Furthermore, in the method provided in the application embodiment, the step of constructing the heat shrink tubing heat shrink parameter prediction sub-channel further includes:

[0030] Data from heat shrink tubing heat shrinking tensile tests are collected. This data includes recorded data on the heat shrink tubing's stretching speed, heating temperature, initial density, initial inner diameter, initial wall thickness, initial length, length after heat shrinking, inner diameter after heat shrinking, and density after heat shrinking. Using the recorded length, inner diameter, and density after heat shrinking as ternary supervised data, and the recorded stretching speed, heating temperature, initial density, initial inner diameter, initial wall thickness, and initial length as input, a backpropagation (BP) neural network is trained to obtain a sub-channel for predicting the heat shrinking parameters of the heat shrink tubing.

[0031] In this embodiment of the application, heat shrink tubing heat shrinking tensile test data is first obtained from a historical database. The heat shrink tubing heat shrinking tensile test data includes heat shrink tubing tensile speed record data, heat shrink tubing heating temperature record data, as well as initial density record data, initial inner diameter record data, initial wall thickness record data, initial length record data, heat-shrinked length record data, heat-shrinked inner diameter record data, and heat-shrinked density record data, and these data are all in one-to-one correspondence.

[0032] To construct a sub-channel for predicting heat shrinking parameters of heat shrink tubing, the heat shrinking speed recording data, the heat shrinking temperature recording data, the initial density recording data, the initial inner diameter recording data, the initial wall thickness recording data, and the initial length recording data are used as input data, and the length recording data, inner diameter recording data, and density recording data after heat shrinking are used as output data.

[0033] Next, the recorded data of heat-shrinked length, heat-shrinked inner diameter, and heat-shrinked density are used as ternary supervised data. The recorded data of heat-shrinkable tubing stretching speed, heat-shrinkable tubing heating temperature, initial density, initial inner diameter, initial wall thickness, and initial length are used as input variables for the model. Using the above input and output data, the model is trained through a BP neural network (backpropagation neural network) to obtain a sub-channel for predicting heat-shrinkable tubing parameters.

[0034] After the initial training, different historical datasets are selected from the historical database, and the training process is repeated. In each training session, the recorded data of heat-shrinked length, heat-shrinked inner diameter, and heat-shrinked density are used as ternary supervised output variables, while the recorded data of heat-shrink tubing stretching speed, heat-shrink tubing heating temperature, initial density, initial inner diameter, initial wall thickness, and initial length are used as input variables. A backpropagation neural network is repeatedly used for modeling and training. Through independent training on each historical dataset, several heat-shrink tubing heat-shrinking parameter prediction sub-channels are obtained. The number of these sub-channels can be set according to requirements, and can be up to 10.

[0035] Finally, the several heat shrink tubing heat shrink parameter prediction sub-channels obtained from the training together constitute a complete heat shrink tubing heat shrink parameter prediction model.

[0036] Step S300: When the predicted length after heat shrinking meets the stretch ratio threshold and the predicted inner diameter after heat shrinking meets the inner diameter threshold, the predicted wall thickness after heat shrinking is calculated based on the predicted length after heat shrinking, the predicted inner diameter after heat shrinking, and the predicted density after heat shrinking to obtain the predicted wall thickness after heat shrinking.

[0037] In this embodiment, the predicted length after heat shrinkage is first compared with the stretch ratio threshold. The predicted length after heat shrinkage is the axial length calculated by a heat shrinkage parameter prediction model and is used to evaluate the degree of elongation of the heat shrink tubing during the stretching process. It is then compared with the stretch ratio threshold to verify whether it meets the set requirements. The stretch ratio threshold is the maximum allowable value of the ratio of the heat-shrinked length to the initial length, used to limit the stretching range and avoid material breakage or performance degradation due to excessive stretching. If the predicted length after heat shrinkage meets the condition, the value of the predicted length divided by the initial length is less than or equal to the stretch ratio threshold, indicating that the degree of stretching after heat shrinkage meets the process requirements.

[0038] Next, the predicted inner diameter after heat shrinking is compared with the inner diameter threshold. If the predicted inner diameter after heat shrinking is greater than or equal to the inner diameter threshold, it means that the inner diameter after heat shrinking meets the design requirements.

[0039] When the predicted length after heat shrinking meets the stretch ratio threshold and the predicted inner diameter after heat shrinking meets the inner diameter threshold, the predicted wall thickness after heat shrinking is calculated using the predicted length, predicted inner diameter, and predicted density after heat shrinking according to the formula for calculating the wall thickness after heat shrinking, and the predicted wall thickness after heat shrinking is obtained.

[0040] Furthermore, in the method provided in the application embodiment, when the predicted length after heat shrinkage meets the stretch ratio threshold and the predicted inner diameter after heat shrinkage meets the inner diameter threshold, the predicted wall thickness after heat shrinkage is calculated based on the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage to obtain the predicted wall thickness after heat shrinkage, further comprising:

[0041] Formula for calculating wall thickness after heat shrinkage:

[0042] ;

[0043] in, , , , The density, inner diameter, wall thickness, and length of the heat shrink tubing before heat shrinking are specified. , , This refers to the density, inner diameter, and wall thickness of the heat shrink tubing after heat shrinking.

[0044] when When the conditions are met, the predicted length after heat shrinkage is considered to meet the stretch ratio threshold. When the predicted inner diameter after heat shrinkage meets the inner diameter threshold, the predicted wall thickness after heat shrinkage is calculated based on the initial density, the initial inner diameter, the initial wall thickness, and the initial length, according to the formula for calculating the wall thickness after heat shrinkage. This calculation is performed on the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage to obtain the predicted wall thickness after heat shrinkage. Characterizing the stretch ratio threshold, This is the length of the heat shrink tubing after heat shrinking.

[0045] In this embodiment of the application, in the heat shrinking process of heat shrink tubing, certain verification and calculation steps must be followed to calculate the wall thickness after heat shrinking, ensuring that the results meet the process requirements. First, the predicted length after heat shrinking is obtained through a heat shrinking parameter prediction model. The predicted inner diameter after heat shrinkage is compared with the set thresholds. Specifically, the predicted length after heat shrinkage is compared with the stretch ratio threshold. Compare and verify Is this condition met? If the condition is met, then the predicted length after heat shrinking is considered to be within the allowable range.

[0046] Secondly, the predicted inner diameter after heat shrinkage is compared with the set inner diameter threshold to ensure that the predicted inner diameter after heat shrinkage is greater than or equal to the inner diameter threshold. The inner diameter threshold is the minimum allowable value of the inner diameter after heat shrinkage, which must be greater than the outer diameter of the cable to be wrapped to ensure the compatibility and functional integrity of the tubing. If both of the above conditions are met, proceed to the next step of wall thickness calculation.

[0047] When performing calculations, , , , as well as , , Substitute into the formula for calculating the wall thickness after heat shrinkage The predicted wall thickness after heat shrinkage is obtained through calculation. Among them, , , , The density, inner diameter, wall thickness, and length of the heat shrink tubing before heat shrinking are specified. , , This refers to the density, inner diameter, and wall thickness of the heat shrink tubing after heat shrinking. Predicting wall thickness after heat shrinkage.

[0048] Step S400: When the predicted wall thickness after heat shrinking meets the wall thickness threshold, the heat shrink tubing stretching device is initialized by the heat shrink tubing stretching speed, the heat shrink tubing heating device is initialized by the heat shrink tubing heating temperature, and the cable is threaded into the target heat shrink tubing before performing heat shrinking stretching and heating coordinated control.

[0049] In this embodiment, the predicted wall thickness after heat shrinkage is compared with a wall thickness threshold. The wall thickness threshold is a pre-set maximum allowable wall thickness value. If the predicted wall thickness after heat shrinkage is less than or equal to the wall thickness threshold, it indicates that the stretching and heating parameters during the heat shrinkage process are set reasonably, the wall thickness reduction meets the requirements, and the next step can be carried out.

[0050] The heat shrink tubing stretching device is initialized based on the predicted stretching speed to ensure uniform and stable stretching action. Then, the heat shrink tubing heating device is initialized based on the predicted heating temperature to ensure uniform temperature distribution. After initialization, the cable is threaded into the target heat shrink tubing, and coordinated stretching and heating control is executed. This allows the heat shrink tubing to achieve the target wall thickness and dimensions under axial stretching and radial shrinkage, ultimately achieving a precise cable wrapping effect.

[0051] Furthermore, the method provided in the application embodiments also includes:

[0052] When at least one of the following is triggered: the predicted length after heat shrink does not meet the stretch ratio threshold, the predicted inner diameter after heat shrink does not meet the inner diameter threshold, or the predicted wall thickness after heat shrink does not meet the wall thickness threshold, the heat shrink tube stretching speed and the heat shrink tube heating temperature are updated.

[0053] In this embodiment, when any parameter of the predicted length, predicted inner diameter, or predicted wall thickness after heat shrinkage does not meet the corresponding threshold (stretch ratio threshold, inner diameter threshold, or wall thickness threshold), the heat shrink tubing stretching speed and heat shrink tubing heating temperature are updated. Specifically, based on a pre-set heat shrink tubing stretching speed constraint range and heating temperature constraint range, a new random selection is performed to update the heat shrink tubing stretching speed and heat shrink tubing heating temperature.

[0054] Furthermore, such as Figure 2 As shown, the method provided in the application embodiment, in order to update the stretching speed of the heat shrink tubing and the heating temperature of the heat shrink tubing, further includes:

[0055] Obtain the updated heat shrink tubing stretching speed and updated heat shrink tubing heating temperature; construct a two-dimensional distribution coordinate system with speed on the horizontal axis and temperature on the vertical axis; distribute the heat shrink tubing stretching speed and the heat shrink tubing heating temperature in the two-dimensional distribution coordinate system to obtain a first distribution point; distribute the updated heat shrink tubing stretching speed and the updated heat shrink tubing heating temperature in the two-dimensional distribution coordinate system to obtain a second distribution point; when the Euclidean distance between the first distribution point and the second distribution point is greater than or equal to an Euclidean distance threshold, update the heat shrink tubing stretching speed and the heat shrink tubing heating temperature according to the updated heat shrink tubing stretching speed and the updated heat shrink tubing heating temperature.

[0056] In this embodiment, firstly, new parameter combinations are generated within the heat shrink tubing stretching speed constraint range and heating temperature constraint range by random selection, referred to as the updated heat shrink tubing stretching speed and the updated heat shrink tubing heating temperature, respectively. Then, a two-dimensional distributed coordinate system is constructed, where the horizontal axis represents the stretching speed and the vertical axis represents the heating temperature.

[0057] The heat shrink tubing stretching speed and heating temperature are then mapped onto a two-dimensional coordinate system to obtain the first distribution point. Simultaneously, the updated heat shrink tubing stretching speed and heating temperature are mapped onto the same coordinate system to obtain the second distribution point, representing the position of the newly generated parameter combination in the coordinate system.

[0058] Next, the Euclidean distance between the first and second distribution points is calculated to quantify the difference between the two sets of parameter combinations. Then, the calculated Euclidean distance is compared with a preset Euclidean distance threshold. If the Euclidean distance between the first and second distribution points is greater than or equal to the Euclidean distance threshold, the heat shrink tubing stretching speed and heating temperature are updated according to the updated heat shrink tubing stretching speed and heating temperature. Using the updated heat shrink tubing stretching speed and heating temperature as new inputs, the heat shrink tubing heat shrinking parameter prediction model is repeatedly run, outputting the predicted length, inner diameter, and density after heat shrinking. When the predicted length meets the stretch ratio threshold and the predicted inner diameter meets the inner diameter threshold, the predicted wall thickness after heat shrinking is calculated based on the predicted length, inner diameter, and density, obtaining the predicted wall thickness. When the wall thickness meets the wall thickness threshold, the heat shrink tubing stretching device is initialized with the predicted stretching speed, the heating device is initialized with the predicted heating temperature, and the cable is threaded into the heat shrink tubing. Coordinated control of heat shrinking stretching and heating is then executed to complete the precise implementation of the heat shrinking process.

[0059] Furthermore, in the method provided in the application embodiments, updating the stretching speed and heating temperature of the heat shrink tubing further includes:

[0060] When the number of updates is greater than or equal to the update number threshold, the historical update point distribution coordinate set of the two-dimensional distribution coordinate system is obtained; the fitness function is the deviation distance between the predicted length, predicted inner diameter, and predicted wall thickness after heat shrinkage and the wall thickness threshold, the stretching ratio threshold, and the inner diameter threshold, where the wall thickness threshold deviation has a first weight, the stretching ratio deviation has a second weight, and the inner diameter deviation has a third weight. The fitness function is equal to the weighted sum of the wall thickness threshold deviation, the stretching ratio deviation, and the inner diameter deviation, based on the first weight, the second weight, and the third weight; according to the fitness function, the heat shrink tubing stretching speed and the heat shrink tubing heating temperature are updated by group optimization on the historical update point distribution coordinate set.

[0061] In this embodiment, when the number of updates to the heat shrink tubing stretching speed and heating temperature reaches or exceeds a set threshold, a set of distribution coordinates for all historical update points is extracted from a two-dimensional distribution coordinate system. These update points correspond to various combinations of stretching speed and heating temperature generated during the heat shrinking process optimization, recording the parameter changes at different update stages.

[0062] Next, a fitness function is defined to measure the optimization effect of each parameter combination at each update point. The fitness function calculates fitness by the deviation between the predicted length, inner diameter, and wall thickness after heat shrinkage and their corresponding target thresholds (stretch ratio threshold, inner diameter threshold, and wall thickness threshold). The wall thickness threshold deviation has a first weight, the stretch ratio deviation has a second weight, and the inner diameter deviation has a third weight; these weights are pre-set by technical experts. The fitness function is equal to the weighted sum of the wall thickness threshold deviation, stretch ratio deviation, and inner diameter deviation, based on the first, second, and third weights.

[0063] Specifically, the fitness function is ,in, , , These are the target thresholds for wall thickness, length, and inner diameter, respectively. , , The weights for wall thickness, length, and inner diameter deviations. This is the fitness function value. Predicted length after heat shrinking To predict wall thickness after heat shrinkage, Predicted inner diameter after heat shrinking.

[0064] Finally, based on the fitness function, the heat shrink tubing stretching speed and the heat shrink tubing heating temperature are updated by group optimization of the historical update point distribution coordinate set.

[0065] Furthermore, in the method provided in the application embodiment, the heat shrink tubing stretching speed and the heat shrink tubing heating temperature are updated by performing group optimization on the historical update point distribution coordinate set according to the fitness function, and the method further includes:

[0066] According to the fitness function, the set of historical update point distribution coordinates is sorted in descending order to obtain the distribution coordinate sorting result; the bottom 10% of the distribution coordinates are extracted and set as the target area; based on the target area, the set of historical update point distribution coordinates is optimized to update the heat shrink tubing stretching speed and the heat shrink tubing heating temperature.

[0067] In this embodiment, the fitness value of each point in the historical update point distribution coordinate set is first calculated based on the defined fitness function. Then, the points in the historical update point distribution coordinate set are sorted in descending order of fitness value to obtain the distribution coordinate sorting result.

[0068] From the sorted set of distribution coordinates, extract the bottom 10% of the distribution coordinates and designate them as the target region. The points in the target region represent the optimal parameter combinations, and these points will serve as the basis for optimization, reflecting the parameter states that are closest to the target value during historical updates.

[0069] Finally, based on the target region, a population optimization process is performed on the historical update point distribution coordinate set to update the heat shrink tubing stretching speed and heating temperature. Specifically, firstly, the points with the lowest fitness values ​​within the target region are selected as the optimization basis and retained as the initial population. Subsequently, the parameters in the target region are combined and optimized. Through crossover operations, the stretching speeds and heating temperatures of different points are combined to generate new parameter configurations, expanding the possible optimization search space. On this basis, a random mutation operation is performed on the generated new parameter combinations, that is, a small random perturbation is introduced into the stretching speed or heating temperature within a preset range to enhance parameter diversity and prevent getting trapped in local optima. After the crossover and mutation operations, a set of optimized heat shrink tubing stretching speeds and heating temperatures is generated, and the heat shrink tubing stretching speed and heating temperature are updated using this set of optimized heat shrink tubing stretching speeds and heating temperatures.

[0070] In summary, the embodiments of this application have at least the following technical effects:

[0071] This application obtains basic information about the target heat shrink tubing and the outer diameter of the cable to be wrapped. The basic information includes the initial density, initial inner diameter, initial wall thickness, and initial length of the heat shrink tubing before heat shrinking, as well as the wall thickness threshold, stretch ratio threshold, and inner diameter threshold after heat shrinking. The inner diameter threshold is greater than the outer diameter of the cable to be wrapped and has a preset inner diameter deviation from the outer diameter of the cable to be wrapped. The wall thickness threshold is less than or equal to the initial wall thickness. A heat shrinking parameter prediction model is obtained, which is used to process the heat shrink tubing stretching speed and heating temperature, as well as the initial density, initial inner diameter, and initial wall thickness. The system calculates the heat-shrinkable wall thickness based on the initial length, predicted heat-shrinkable inner diameter, and predicted heat-shrinkable density. When the predicted heat-shrinkable length meets the stretch ratio threshold and the predicted heat-shrinkable inner diameter meets the inner diameter threshold, the predicted heat-shrinkable wall thickness is calculated based on the predicted heat-shrinkable length, predicted heat-shrinkable inner diameter, and predicted heat-shrinkable density. When the predicted heat-shrinkable wall thickness meets the wall thickness threshold, the heat-shrinkable tube stretching device is initialized using the heat-shrinkable tube stretching speed, and the heat-shrinkable tube heating device is initialized using the heat-shrinkable tube heating temperature. After the cable is inserted into the target heat-shrinkable tube, coordinated control of heat-shrinking stretching and heating is performed. This invention addresses the technical problems of existing technologies, such as the inability to accurately control the size and wall thickness of heat shrink tubing, leading to poor cable wrapping effects and insufficient process stability. By constructing a heat shrink tubing heat shrinking parameter prediction model, and combining the basic information of the target heat shrink tubing and the outer diameter of the cable to be wrapped, the model calculates the length, inner diameter, and wall thickness after heat shrinking. By comparing these values ​​with a set threshold, the model dynamically adjusts the stretching speed and heating temperature, and initializes the equipment to achieve coordinated control of heat shrinking stretching and heating. This precise control of the heat shrink tubing size and wall thickness ensures effective cable wrapping.

[0072] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0073] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0074] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A method for coordinated control of stretching and heating in a heat shrinking process, characterized in that, A stretching and heating coordinated control system for heat shrinking processes, wherein the system is communicatively connected to heat shrinking equipment, the heat shrinking equipment including a heat shrink tubing stretching device and a heat shrink tubing heating device, comprising: Obtain the basic information of the target heat shrink tubing and the outer diameter of the cable to be wrapped. The basic information of the target heat shrink tubing includes the initial density, initial inner diameter, initial wall thickness, and initial length of the heat shrink tubing before heat shrinking, as well as the wall thickness threshold, stretch ratio threshold, and inner diameter threshold of the heat shrink tubing after heat shrinking. The inner diameter threshold is greater than the outer diameter of the cable to be wrapped and has a preset inner diameter deviation from the outer diameter of the cable to be wrapped. The wall thickness threshold is less than or equal to the initial wall thickness. A heat shrink tubing heat shrink parameter prediction model is obtained, wherein the heat shrink tubing heat shrink parameter prediction model is used to process the heat shrink tubing stretching speed and heat shrink tubing heating temperature, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length, and outputs the predicted length, predicted inner diameter, and predicted density after heat shrinking. When the predicted length after heat shrinking meets the stretch ratio threshold and the predicted inner diameter after heat shrinking meets the inner diameter threshold, the predicted wall thickness after heat shrinking is calculated based on the predicted length after heat shrinking, the predicted inner diameter after heat shrinking, and the predicted density after heat shrinking to obtain the predicted wall thickness after heat shrinking. When the predicted wall thickness after heat shrinking meets the wall thickness threshold, the heat shrink tubing stretching device is initialized by the heat shrink tubing stretching speed, and the heat shrink tubing heating device is initialized by the heat shrink tubing heating temperature. After the cable is threaded into the target heat shrink tubing, heat shrinking stretching and heating are controlled in a coordinated manner.

2. The method as described in claim 1, characterized in that, When the predicted length after heat shrinkage meets the stretch ratio threshold and the predicted inner diameter after heat shrinkage meets the inner diameter threshold, the predicted wall thickness after heat shrinkage is calculated based on the predicted length, the predicted inner diameter, and the predicted density after heat shrinkage to obtain the predicted wall thickness, including: Formula for calculating wall thickness after heat shrinkage: ； in, , , , The density, inner diameter, wall thickness, and length of the heat shrink tubing before heat shrinking are specified. , , This refers to the density, inner diameter, and wall thickness of the heat shrink tubing after heat shrinking. when When the conditions are met, the predicted length after heat shrinkage is considered to meet the stretch ratio threshold. When the predicted inner diameter after heat shrinkage meets the inner diameter threshold, the predicted wall thickness after heat shrinkage is calculated based on the initial density, the initial inner diameter, the initial wall thickness, and the initial length, according to the formula for calculating the wall thickness after heat shrinkage. This calculation is performed on the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage to obtain the predicted wall thickness after heat shrinkage. Characterizing the stretch ratio threshold, This is the length of the heat shrink tubing after heat shrinking.

3. The method as described in claim 1, characterized in that, Also includes: When at least one of the following is triggered: the predicted length after heat shrink does not meet the stretch ratio threshold, the predicted inner diameter after heat shrink does not meet the inner diameter threshold, or the predicted wall thickness after heat shrink does not meet the wall thickness threshold, the heat shrink tube stretching speed and the heat shrink tube heating temperature are updated.

4. The method as described in claim 1, characterized in that, A heat shrink tubing heat shrink parameter prediction model is obtained, wherein the heat shrink tubing heat shrink parameter prediction model is used to process the heat shrink tubing stretching speed and heat shrink tubing heating temperature, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length, and outputs the predicted length, predicted inner diameter, and predicted density after heat shrinking, including: Set the heat shrink tubing stretching speed constraint range and the heat shrink tubing heating temperature constraint range; Random values ​​are assigned based on the heat shrink tubing stretching speed constraint range and the heat shrink tubing heating temperature constraint range to obtain the heat shrink tubing stretching speed and the heat shrink tubing heating temperature. The heat shrink tubing stretching speed, heating temperature, initial density, initial inner diameter, initial wall thickness, and initial length are processed through several heat shrink tubing parameter prediction sub-channels of the heat shrink tubing parameter prediction model to output several initial predicted lengths, several initial predicted inner diameters, and several initial predicted densities after heat shrinking. The mode fully connected calculation is performed on the plurality of initial predicted lengths after heat shrinking, the plurality of initial predicted inner diameters after heat shrinking, and the plurality of initial predicted densities after heat shrinking to obtain the predicted lengths after heat shrinking, the predicted inner diameters after heat shrinking, and the predicted densities after heat shrinking.

5. The method as described in claim 4, characterized in that, The construction steps of the heat shrink tubing heat shrink parameter prediction sub-channel include: Collect heat shrinkable tubing heat shrinking tensile test data, wherein the heat shrinkable tubing heat shrinkable tensile test data includes heat shrinkable tubing tensile speed record data, heat shrinkable tubing heating temperature record data, as well as initial density record data, initial inner diameter record data, initial wall thickness record data, initial length record data, heat shrinked length record data, heat shrinked inner diameter record data, and heat shrinked density record data; Using the heat-shrinked length record data, the heat-shrinked inner diameter record data, and the heat-shrinked density record data as ternary supervised data, and using the heat shrink tube stretching speed record data, the heat shrink tube heating temperature record data, the initial density record data, the initial inner diameter record data, the initial wall thickness record data, and the initial length record data as input, a BP neural network is trained to obtain the heat shrinking parameter prediction sub-channel of the heat shrink tube.

6. The method as described in claim 3, characterized in that, Updating the heat shrink tubing stretching speed and the heat shrink tubing heating temperature includes: To obtain updated heat shrink tubing stretching speed and updated heat shrink tubing heating temperature; Construct a two-dimensional coordinate system with velocity on the horizontal axis and temperature on the vertical axis; The stretching speed and heating temperature of the heat shrink tubing are distributed in the two-dimensional coordinate system to obtain the first distribution point; The stretching speed and heating temperature of the updated heat shrink tubing are distributed in the two-dimensional distribution coordinate system to obtain a second distribution point; When the Euclidean distance between the first distribution point and the second distribution point is greater than or equal to the Euclidean distance threshold, the heat shrink tubing stretching speed and the heat shrink tubing heating temperature are updated according to the updated heat shrink tubing stretching speed and the updated heat shrink tubing heating temperature.

7. The method as described in claim 6, characterized in that, Updating the heat shrink tubing stretching speed and the heat shrink tubing heating temperature includes: When the number of updates is greater than or equal to the update number threshold, the set of historical update point distribution coordinates of the two-dimensional distribution coordinate system is obtained; The fitness function is defined as the deviation distance between the predicted length, predicted inner diameter, and predicted wall thickness after heat shrinkage and the wall thickness threshold, the stretch ratio threshold, and the inner diameter threshold. The wall thickness threshold deviation has a first weight, the stretch ratio deviation has a second weight, and the inner diameter deviation has a third weight. The fitness function is equal to the weighted sum of the wall thickness threshold deviation, the stretch ratio deviation, and the inner diameter deviation, based on the first weight, the second weight, and the third weight. Based on the fitness function, the heat shrink tubing stretching speed and the heat shrink tubing heating temperature are updated by group optimization of the historical update point distribution coordinate set.

8. The method as described in claim 7, characterized in that, Based on the fitness function, the heat shrink tubing stretching speed and heating temperature are updated through group optimization of the historical update point distribution coordinate set, including: Based on the fitness function, the set of historical update point distribution coordinates is sorted in descending order to obtain the distribution coordinate sorting result; Extract the coordinates of the bottom 10% of the sorted data and set them as the target region; Based on the target area, the heat shrink tubing stretching speed and the heat shrink tubing heating temperature are updated by group optimization of the historical update point distribution coordinate set.

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