Stretching and heating cooperative control method for thermal shrinkage process

Abstract

The invention discloses a stretching and heating cooperative control method for a thermal shrinkage process, and relates to the technical field of thermal shrinkage control, and the method comprises the steps: obtaining the basic information of a target thermal shrinkage tube and the outer diameter of a to-be-wrapped cable; the thermal shrinkage parameter prediction model of the thermal shrinkage tube is used for outputting the predicted length after thermal shrinkage, the predicted inner diameter after thermal shrinkage and the predicted density after thermal shrinkage; when the predicted length after thermal shrinkage meets the stretch ratio threshold value and the predicted inner diameter after thermal shrinkage meets the inner diameter threshold value, wall thickness calculation after thermal shrinkage is conducted, and the predicted wall thickness after thermal shrinkage is obtained; and when the predicted wall thickness after thermal shrinkage meets a wall thickness threshold value, a thermal shrinkage tube stretching device and a thermal shrinkage tube heating device are initialized, and thermal shrinkage stretching and heating cooperative control is executed after a cable penetrates into a target thermal shrinkage tube. The technical problems that in the prior art, the size and the wall thickness of the heat shrink tube cannot be accurately controlled, so that the cable wrapping effect is poor, and the process stability is insufficient are solved, and the technical effect of ensuring the cable wrapping effect is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of heat shrinkage control, and in particular to a method for coordinated control of stretching and heating used in a heat shrinkage process. Background Art

[0002] In the traditional heat shrink process, after the heat shrink tube is heated to a certain temperature, it will shrink radially and change axially, and is usually used to wrap and protect cables. However, in the prior art, the wall thickness of the heat shrink tube usually increases significantly during the shrinkage process, which may be more than twice the original wall thickness. This will cause assembly interference for application scenarios with strict dimensional requirements, such as cable wrapping in precision equipment, and cannot meet the design requirements of space constraints. Secondly, due to the lack of precise control methods for parameters such as heating temperature and stretching speed, the final size of the heat shrink tube is difficult to meet the consistency and precision requirements, resulting in unstable process. At the same time, traditional methods are difficult to achieve dynamic adjustment, and once the process parameters are set, they cannot be optimized in real time, which further limits the improvement of the performance of the heat shrink tube. Summary of the invention

[0003] The present application provides a method for coordinated control of stretching and heating for a heat shrink process, which is used to solve the technical problem that the prior art cannot accurately control the size and wall thickness of the heat shrink tube, resulting in poor cable wrapping effect and insufficient process stability.

[0004] In view of the above problems, the present application provides a method for coordinated control of stretching and heating for a heat shrink process.

[0005] The present application provides a method for coordinated control of stretching and heating for a heat shrink process, the method comprising: Obtain basic information of the target heat shrink tube and the outer diameter of the cable to be wrapped, wherein the basic information of the target heat shrink tube includes the initial density, initial inner diameter, initial wall thickness, initial length of the heat shrink tube before heat shrinkage, and the wall thickness threshold, stretching ratio threshold and inner diameter threshold of the heat shrink tube after heat shrinkage, wherein 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, and the wall thickness threshold is less than or equal to the initial wall thickness; obtain a heat shrink parameter prediction model for the heat shrink tube, wherein the heat shrink parameter prediction model for the heat shrink tube is used to process the stretching speed and heating temperature of the heat shrink tube, as well as the initial density, the initial inner diameter, the initial wall thickness , the initial length, output the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage and the predicted density after heat shrinkage; when the predicted length after heat shrinkage meets the stretching ratio threshold, and the predicted inner diameter after heat shrinkage meets the inner diameter threshold, calculate the wall thickness after heat shrinkage according to 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; when the predicted wall thickness after heat shrinkage meets the wall thickness threshold, initialize the heat shrinkage tube stretching device according to the heat shrinkage tube stretching speed, initialize the heat shrinkage tube heating device according to the heat shrinkage tube heating temperature, and perform heat shrinkage stretching and heating coordinated control after the cable is inserted into the target heat shrinkage tube.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: The present application obtains basic information of a target heat shrink tube and an outer diameter of a cable to be wrapped, wherein the basic information of the target heat shrink tube includes an initial density, an initial inner diameter, an initial wall thickness, and an initial length of the heat shrink tube before heat shrinkage, and a wall thickness threshold, a stretch ratio threshold, and an inner diameter threshold of the heat shrink tube after heat shrinkage, wherein 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, and the wall thickness threshold is less than or equal to the initial wall thickness; a heat shrink parameter prediction model for the heat shrink tube is obtained, wherein the heat shrink parameter prediction model for the heat shrink tube is used to process the stretching speed and heating temperature of the heat shrink tube, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length of the heat shrink tube. thickness, the initial length, and output the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage; when the predicted length after heat shrinkage meets the stretching ratio threshold, and the predicted inner diameter after heat shrinkage meets the inner diameter threshold, the wall thickness after heat shrinkage is calculated according to 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; when the predicted wall thickness after heat shrinkage meets the wall thickness threshold, the heat shrinkage tube stretching device is initialized by the heat shrinkage tube stretching speed, and the heat shrinkage tube heating device is initialized by the heat shrinkage tube heating temperature, and after the cable is inserted into the target heat shrinkage tube, heat shrinkage stretching and heating coordinated control are performed. The present invention solves the technical problem that the prior art cannot accurately control the size and wall thickness of the heat shrink tube, resulting in poor cable wrapping effect and insufficient process stability. By constructing a heat shrink parameter prediction model for the heat shrink tube, combined with the basic information of the target heat shrink tube and the outer diameter of the cable to be wrapped, the length, inner diameter and wall thickness after heat shrinkage are calculated, and compared with the set threshold, the stretching speed and heating temperature are dynamically adjusted, and the equipment is initialized to realize coordinated control of heat shrink stretching and heating, so as to accurately control the size and wall thickness of the heat shrink tube and achieve the technical effect of ensuring the cable wrapping effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic flow chart of a method for coordinated control of stretching and heating for a heat shrink process provided in an embodiment of the present application; Figure 2 A schematic flow chart of updating the stretching speed and heating temperature of a heat shrink tube in a coordinated control method of stretching and heating for a heat shrink process provided in an embodiment of the present application. DETAILED DESCRIPTION

[0009] The present application provides a method for coordinated control of stretching and heating for a heat shrinking process, which is used to solve the technical problems in the prior art that the size and wall thickness of the heat shrinkable tube cannot be accurately controlled, resulting in poor cable wrapping effect and insufficient process stability. By constructing a heat shrink parameter prediction model for the heat shrinkable tube, combined with the basic information of the target heat shrinkable tube and the outer diameter of the cable to be wrapped, the length, inner diameter and wall thickness after heat shrinkage are calculated, and compared with the set threshold, the stretching speed and heating temperature are dynamically adjusted, and the equipment is initialized to realize coordinated control of heat shrink stretching and heating, and the size and wall thickness of the heat shrinkable tube are accurately controlled to achieve the technical effect of ensuring the cable wrapping effect.

[0010] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0011] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. 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 explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0012] Examples, such as Figure 1 As shown, the present application provides a stretching and heating coordinated control method for a heat shrinking process, which is applied to a stretching and heating coordinated control system for a heat shrinking process. The system is communicatively connected to a heat shrinking device, and the heat shrinking device includes a heat shrinking tube stretching device and a heat shrinking tube heating device. The method includes: Step S100: Obtain basic information of the target heat shrink tube and the outer diameter of the cable to be wrapped, wherein the basic information of the target heat shrink tube includes the initial density, initial inner diameter, initial wall thickness, initial length of the heat shrink tube before heat shrinkage, and the wall thickness threshold, stretching ratio threshold and inner diameter threshold of the heat shrink tube after heat shrinkage, 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, and the wall thickness threshold is less than or equal to the initial wall thickness.

[0013] In an embodiment of the present application, the heat shrinking equipment includes a heat shrink tube stretching device and a heat shrink tube heating device, which are respectively used to axially stretch and uniformly heat the heat shrink tube to achieve wall thickness thinning and precise size control.

[0014] The basic information of the target heat shrink tube and the outer diameter of the cable to be wrapped are obtained by performing data retrieval through a preset database, wherein the outer diameter of the cable to be wrapped refers to the outer diameter of the target cable.

[0015] The basic information of the target heat shrink tube includes the initial density, initial inner diameter, initial wall thickness, initial length of the heat shrink tube before heat shrinkage, and the wall thickness threshold, stretch ratio threshold, and inner diameter threshold of the heat shrink tube after heat shrinkage. The initial density indicates the unit volume mass of the heat shrink tube material, the initial inner diameter is the inner diameter of the heat shrink tube before heat shrinkage, the initial wall thickness is the wall thickness of the heat shrink tube before heat shrinkage, and the initial length is the axial length before heat shrinkage.

[0016] The wall thickness threshold specifies the maximum value of the wall thickness after heat shrinkage, and the wall thickness threshold is less than or equal to the initial wall thickness. The stretch ratio threshold is the maximum allowable value of the ratio of the length after heat shrinkage to the initial length. The inner diameter threshold refers to the minimum allowable value of the inner diameter of the heat shrink tube after heat shrinkage, which is used to ensure that the heat shrink tube can wrap the cable to be wrapped after heat shrinkage. The inner diameter threshold is greater than the outer diameter of the cable to be wrapped, and maintains a preset inner diameter deviation with the outer diameter of the cable to ensure that the tube can fit the cable tightly after heat shrinkage. 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 preset database.

[0017] Step S200: Obtain a heat shrinkage parameter prediction model for the heat shrinkage tube, wherein the heat shrinkage parameter prediction model for the heat shrinkage tube is used to process the stretching speed and heating temperature of the heat shrinkage tube, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length, and output the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage.

[0018] In the embodiment of the present application, a pre-built heat shrink parameter prediction model for heat shrink tubes is first obtained. Next, the constraint intervals of the heat shrink tube stretching speed and the heating temperature are set by technical experts. Subsequently, within these constraint intervals, a combination of multiple heat shrink tube stretching speeds and heating temperatures is generated by random assignment, thereby simulating various possible heat shrink process conditions. Next, multiple sub-channels of the heat shrink parameter prediction model for heat shrink tubes are used to process the heat shrink tube stretching speeds, heating temperatures, and input parameters such as initial density, initial inner diameter, initial wall thickness, and initial length, respectively. Each sub-channel independently calculates and outputs the corresponding initial predicted length after heat shrinkage, initial predicted inner diameter after heat shrinkage, and initial predicted density after heat shrinkage. After obtaining multiple prediction results, the initial predicted lengths, initial predicted inner diameters, and initial predicted densities after heat shrinkage are summarized by the mode full connection calculation method, and finally the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage are output.

[0019] Furthermore, in the method provided in the embodiment of the application, a heat shrinkage parameter prediction model of the heat shrinkage tube is obtained, wherein the heat shrinkage parameter prediction model of the heat shrinkage tube is used to process the stretching speed and heating temperature of the heat shrinkage tube, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length, and outputs the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage, and also includes: Set a heat shrink tube stretching speed constraint interval and a heat shrink tube heating temperature constraint interval; perform random assignment according to the heat shrink tube stretching speed constraint interval and the heat shrink tube heating temperature constraint interval to obtain the heat shrink tube stretching speed and the heat shrink tube heating temperature; process the heat shrink tube stretching speed and the heat shrink tube heating temperature, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length through a plurality of heat shrink tube heat shrink parameter prediction sub-channels of the heat shrink parameter prediction model of the heat shrink tube, and output a plurality of initial predicted lengths after heat shrinkage, a plurality of initial predicted inner diameters after heat shrinkage, and a plurality of initial predicted densities after heat shrinkage; perform mode full connection calculation on the plurality of initial predicted lengths after heat shrinkage, the plurality of initial predicted inner diameters after heat shrinkage, and the plurality of initial predicted densities after heat shrinkage, respectively, to obtain the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage.

[0020] In the embodiment of the present application, the technical experts first set the stretching speed constraint interval of the heat shrink tube and the heating temperature constraint interval of the heat shrink tube. Among them, the stretching speed constraint interval of the heat shrink tube is used to define the speed range of axial stretching during the heat shrinking process, ensuring that the tube can achieve wall thickness thinning without breaking during stretching; the heating temperature constraint interval is used to limit the temperature range provided by the heating device to ensure that the heat shrink tube completes radial contraction and axial stretching within the temperature range allowed by the material.

[0021] Next, the Monte Carlo method is used to perform random assignment according to the stretching speed constraint interval of the heat shrinkable tube and the heating temperature constraint interval of the heat shrinkable tube to obtain the stretching speed and heating temperature of the heat shrinkable tube.

[0022] Subsequently, through several heat shrinkage parameter prediction sub-channels of the pre-constructed heat shrinkage parameter prediction model of the heat shrinkage tube, the stretching speed and heating temperature of the heat shrinkage tube, as well as the initial density, initial inner diameter, initial wall thickness and initial length are processed to output several initial predicted lengths after heat shrinkage, several initial predicted inner diameters after heat shrinkage and several initial predicted densities after heat shrinkage.

[0023] Finally, all initial prediction results are integrated using the mode full join calculation method. Mode full join counts the distribution frequency of each prediction value and selects the value that appears most frequently as the final output result. Through this process, the mode full join calculation of several initial predicted lengths after heat shrinkage, several initial predicted inner diameters after heat shrinkage, and several initial predicted densities after heat shrinkage is completed to obtain the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage. The predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage are the predicted lengths, predicted inner diameters, and predicted densities that appear most frequently in several initial predicted lengths after heat shrinkage, several initial predicted inner diameters after heat shrinkage, and several initial predicted densities after heat shrinkage, respectively.

[0024] Furthermore, in the method provided in the embodiment of the application, the step of constructing the heat shrinkage parameter prediction sub-channel of the heat shrinkable tube further includes: Collect heat shrinkage stretching test data of heat shrinkable tubes, wherein the heat shrinkage stretching test data of heat shrinkable tubes include heat shrinkage stretching speed record data, heat shrinkage tube heating temperature record data, and initial density record data, initial inner diameter record data, initial wall thickness record data, initial length record data, length record data after heat shrinkage, inner diameter record data after heat shrinkage and density record data after heat shrinkage; take the length record data after heat shrinkage, the inner diameter record data after heat shrinkage and the density record data after heat shrinkage as ternary supervision data, take the heat shrinkage stretching speed record data, the heat shrinkage temperature record data, and 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, train a BP neural network, and obtain the heat shrinkage parameter prediction sub-channel of the heat shrinkable tube.

[0025] In the embodiment of the present application, firstly, the heat shrinkage stretching test data of the heat shrinkage tube is obtained through the historical database. The heat shrinkage stretching test data of the heat shrinkage tube includes the heat shrinkage tube stretching speed record data, the heat shrinkage tube heating temperature record data, and the initial density record data, the initial inner diameter record data, the initial wall thickness record data, the initial length record data, the length record data after heat shrinkage, the inner diameter record data after heat shrinkage, and the density record data after heat shrinkage, and these data correspond to each other.

[0026] In order to construct the heat shrink parameter prediction sub-channel of the heat shrink tube, the heat shrink tube stretching speed recording data, the heat shrink tube heating temperature recording data, as well as 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 after heat shrinkage, the inner diameter recording data after heat shrinkage, and the density recording data after heat shrinkage are used as output data.

[0027] Next, the length record data after heat shrinkage, the inner diameter record data after heat shrinkage, and the density record data after heat shrinkage are used as ternary supervision data, and the heat shrink tube stretching speed record data, heat shrink tube heating temperature record data, and initial density record data, initial inner diameter record data, initial wall thickness record data, and initial length record data are used as input variables of the model. Using the above input and output data, the model is trained through the BP neural network (error back propagation neural network) to obtain the heat shrink parameter prediction sub-channel of the heat shrink tube.

[0028] After completing the initial training, select other different historical data sets from the historical database and repeat the training process. In each training, the length record data after heat shrinkage, the inner diameter record data after heat shrinkage, and the density record data after heat shrinkage are still used as ternary supervised output variables, and the heat shrink tube stretching speed record data, heat shrink tube heating temperature record data, and initial density, initial inner diameter, initial wall thickness and initial length record data are used as input variables, and the BP neural network is repeatedly used for modeling and training. Through independent training of each set of historical data sets, several heat shrink parameter prediction sub-channels for heat shrink tubes are obtained. The number of heat shrink parameter prediction sub-channels for heat shrink tubes is set according to demand and can be set to 10.

[0029] Finally, several heat shrinkage parameter prediction sub-channels obtained through training together constitute a complete heat shrinkage parameter prediction model for heat shrinkage tubes.

[0030] Step S300: When the predicted length after heat shrinkage meets the stretching ratio threshold and the predicted inner diameter after heat shrinkage meets the inner diameter threshold, the wall thickness after heat shrinkage is calculated according to 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.

[0031] In an embodiment of the present application, 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 the heat shrinkage parameter prediction model, which is used to evaluate the degree of extension of the heat shrinkable tube during the stretching process. It is 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 length after heat shrinkage to the initial length, which is used to limit the stretching amplitude to avoid material rupture or performance degradation due to excessive stretching. If the predicted length after heat shrinkage meets the condition that the value of the predicted length after heat shrinkage minus the initial length is less than or equal to the stretch ratio threshold, it means that the degree of stretching after heat shrinkage meets the process requirements.

[0032] Next, the predicted inner diameter after heat shrinkage is compared with the inner diameter threshold. If the predicted inner diameter after heat shrinkage is greater than or equal to the inner diameter threshold, it means that the inner diameter after heat shrinkage meets the design requirements.

[0033] 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 wall thickness after heat shrinkage is calculated by the wall thickness calculation formula after heat shrinkage according to 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.

[0034] Furthermore, in the method provided in the embodiment of the application, when the predicted length after heat shrinkage satisfies the stretch ratio threshold value, and the predicted inner diameter after heat shrinkage satisfies the inner diameter threshold value, the wall thickness after heat shrinkage is calculated according to 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, the method further includes: Get the wall thickness calculation formula after heat shrinkage: ; in, , , , The density, inner diameter, wall thickness and length of the heat shrinkable tube before shrinking. , , The density, inner diameter and wall thickness of the heat shrinkable tube after heat shrinkage; when When the predicted length after heat shrinkage satisfies the stretch ratio threshold, when the predicted inner diameter after heat shrinkage satisfies the inner diameter threshold, the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage and the predicted density after heat shrinkage are calculated according to the calculation formula for wall thickness after heat shrinkage based on the initial density, the initial inner diameter, the initial wall thickness and the initial length to obtain the predicted wall thickness after heat shrinkage. Characterize the stretch ratio threshold, It is the length of the heat shrink tubing after shrinking.

[0035] In the present application embodiment, in the heat shrink process of the heat shrink tube, in order to calculate the wall thickness after heat shrinkage, certain verification and calculation steps must be followed to ensure that the result meets the process requirements. First, the predicted length after heat shrinkage is obtained through the heat shrink parameter prediction model. and the predicted inner diameter after heat shrinkage, and compared them with the set thresholds respectively. Specifically, the predicted length after heat shrinkage is compared with the stretch ratio threshold To compare and verify If the condition is met, it is considered that the predicted length after heat shrinkage is within the allowable range.

[0036] Secondly, compare the predicted inner diameter after heat shrinking with the set inner diameter threshold to ensure that the predicted inner diameter after heat shrinking is greater than or equal to the inner diameter threshold. The inner diameter threshold is the minimum allowable value of the inner diameter of the heat shrink tube after shrinking, which must be greater than the outer diameter of the cable to be wrapped to ensure the adaptability and functional integrity of the tube. If both of the above conditions are met, proceed to the next step of wall thickness calculation.

[0037] When calculating, , , , as well as , , Substitute into the wall thickness calculation formula after heat shrinkage Calculate the predicted wall thickness after heat shrinkage. , , , The density, inner diameter, wall thickness and length of the heat shrinkable tube before shrinking. , , The density, inner diameter and wall thickness of the heat shrinkable tube after heat shrinkage. Predict wall thickness after heat shrinking.

[0038] Step S400: When the predicted wall thickness after heat shrinkage meets the wall thickness threshold, the heat shrinkage tube stretching device is initialized by the heat shrinkage tube stretching speed, and the heat shrinkage tube heating device is initialized by the heat shrinkage tube heating temperature. After the cable is inserted into the target heat shrinkage tube, heat shrinkage stretching and heating coordinated control are performed.

[0039] In the embodiment of the present application, the predicted wall thickness after heat shrinkage is compared with the wall thickness threshold. The wall thickness threshold is a preset maximum allowable wall thickness value. If the predicted wall thickness after heat shrinkage is less than or equal to the wall thickness threshold, it means that the stretching and heating parameters during the heat shrinkage process are reasonably set, the wall thickness reduction meets the requirements, and the next step can be performed.

[0040] The heat shrink tube stretching device is initialized according to the predicted heat shrink tube stretching speed to ensure that the stretching action is uniform and stable; then the heat shrink tube heating device is initialized according to the predicted heat shrink tube heating temperature to ensure that the heating temperature is evenly distributed. After the equipment is initialized, the cable is inserted into the target heat shrink tube, and the stretching and heating coordinated control is performed so that the heat shrink tube reaches the target wall thickness and size under the action of axial stretching and radial contraction, and finally the precise wrapping effect of the cable is achieved.

[0041] Furthermore, the method provided in the application embodiment also includes: When at least one of the following triggers occurs: the predicted length after heat shrinkage does not meet the stretching ratio threshold, the predicted inner diameter after heat shrinkage does not meet the inner diameter threshold, and the predicted wall thickness after heat shrinkage does not meet the wall thickness threshold, the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube are updated.

[0042] In the embodiment of the present application, when any of the parameters of the predicted length, predicted inner diameter or predicted wall thickness after heat shrinkage does not meet the corresponding threshold value (stretching ratio threshold value, inner diameter threshold value or wall thickness threshold value), the stretching speed of the heat shrinkable tube and the heating temperature of the heat shrinkable tube are updated. Specifically, based on the pre-set stretching speed constraint interval and heating temperature constraint interval of the heat shrinkable tube, random selection is performed again to complete the update of the stretching speed of the heat shrinkable tube and the heating temperature of the heat shrinkable tube.

[0043] Further, such as Figure 2 As shown, in the method provided in the embodiment of the application, updating the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube also includes: Obtain an updated stretching speed of the heat shrinkable tube and an updated heating temperature of the heat shrinkable tube; construct a two-dimensional distribution coordinate system with the horizontal axis being the speed and the vertical axis being the temperature; distribute the stretching speed of the heat shrinkable tube and the heating temperature of the heat shrinkable tube in the two-dimensional distribution coordinate system to obtain a first distribution point; distribute the updated stretching speed of the heat shrinkable tube and the updated heating temperature of the heat shrinkable tube 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 a Euclidean distance threshold, update the stretching speed of the heat shrinkable tube and the heating temperature of the heat shrinkable tube according to the updated stretching speed of the heat shrinkable tube and the updated heating temperature of the heat shrinkable tube.

[0044] In the embodiment of the present application, firstly, a new parameter combination is generated in the heat shrink tube stretching speed constraint interval and the heating temperature constraint interval by random selection, which are respectively called updating the heat shrink tube stretching speed and updating the heat shrink tube heating temperature. Then, a two-dimensional distribution coordinate system is constructed, in which the horizontal axis represents the stretching speed and the vertical axis represents the heating temperature.

[0045] Then, the stretching speed and heating temperature of the heat shrink tube are mapped to the two-dimensional coordinate system to obtain the first distribution point. At the same time, the updated stretching speed and heating temperature of the heat shrink tube are mapped to the same coordinate system to obtain the second distribution point, which indicates the position of the newly generated parameter combination in the coordinate system.

[0046] Next, the Euclidean distance between the first distribution point and the second distribution point is calculated to quantify the difference between the two sets of parameter combinations. Subsequently, the calculated Euclidean distance is compared with the preset Euclidean distance threshold. If the Euclidean distance between the first distribution point and the second distribution point is greater than or equal to the Euclidean distance threshold, the stretching speed and heating temperature of the heat shrinkable tube are updated according to the updated stretching speed and the updated heating temperature of the heat shrinkable tube. The updated stretching speed and the updated heating temperature of the heat shrinkable tube are used as new stretching speed and heating temperature inputs of the heat shrinkable tube, and the heat shrinkage parameter prediction model of the heat shrinkable tube is repeatedly run to output the predicted length, inner diameter and density after heat shrinkage. When the predicted length meets the stretch ratio threshold and the predicted inner diameter meets the inner diameter threshold, the wall thickness after heat shrinkage is calculated according to the predicted length, inner diameter and density to obtain the predicted wall thickness after heat shrinkage. When the wall thickness meets the wall thickness threshold, the stretching device of the heat shrinkable tube is initialized by the predicted stretching speed, the heating device is initialized by the predicted heating temperature, and the cable is inserted into the heat shrinkable tube to perform the coordinated control of heat shrinkage stretching and heating to complete the precise implementation of the heat shrinkage process.

[0047] Furthermore, in the method provided in the embodiment of the application, updating the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube further includes: 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 predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage and the predicted wall thickness after heat shrinkage, and the deviation distance from the wall thickness threshold, the stretching ratio threshold and the inner diameter threshold are used as the fitness function, wherein 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, and the fitness function is equal to the wall thickness threshold deviation, the stretching ratio deviation and the inner diameter deviation, based on the weighted sum of the first weight, the second weight and the third weight; according to the fitness function, the historical update point distribution coordinate set is subjected to group optimization to update the heat shrink tube stretching speed and the heat shrink tube heating temperature.

[0048] In the embodiment of the present application, when the update times of the heat shrink tube stretching speed and heating temperature reach or exceed the set update times threshold, the distribution coordinate set of all historical update points is extracted from the two-dimensional distribution coordinate system. These update points correspond to the combinations of each group of stretching speed and heating temperature generated during the heat shrink process optimization process, and record the parameter changes at different update stages.

[0049] Next, a fitness function is defined to measure the optimization effect of each update point parameter combination. The fitness function calculates the 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, wall thickness threshold). The fitness 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, which are pre-set by technical experts. The fitness function is equal to the wall thickness threshold deviation, the stretch ratio deviation and the inner diameter deviation, based on the weighted sum of the first weight, the second weight and the third weight.

[0050] Specifically, the fitness function is ,in, , , are the target thresholds for wall thickness, length and inner diameter, respectively. , , are the weights of wall thickness, length and inner diameter deviations, is the fitness function value. is the predicted length after heat shrinkage, To predict the wall thickness after heat shrinkage, Predicted inner diameter after heat shrinking.

[0051] Finally, according to the fitness function, a group optimization is performed on the distribution coordinate set of the historical update points to update the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube.

[0052] Furthermore, in the method provided in the embodiment of the application, according to the fitness function, the set of distribution coordinates of the historical update points is subjected to group optimization to update the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube, and further includes: According to the fitness function, the historical update point distribution coordinate set is sorted in descending order to obtain the distribution coordinate sorting result; the 10% distribution coordinates with the lowest sorting are extracted and set as the target area; based on the target area, the historical update point distribution coordinate set is subjected to group optimization to update the heat shrink tube stretching speed and the heat shrink tube heating temperature.

[0053] In the embodiment of the present application, firstly, based on the defined fitness function, the fitness value of each point in the historical update point distribution coordinate set is calculated. According to the fitness value, the points in the historical update point distribution coordinate set are sorted in descending order to obtain the distribution coordinate sorting result.

[0054] From the sorted distribution coordinate set, extract the bottom 10% of the distribution coordinates and set them as the target area. The points in the target area represent the best performing parameter combinations. These points will serve as the basis for optimization and focus on reflecting the parameter states that are closest to the target values ​​during the historical update process.

[0055] Finally, based on the target area, the set of historical update point distribution coordinates is subjected to group optimization to update the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube. Specifically, first, the points with the lowest fitness values ​​are selected in the target area as the basis for optimization, and these points are retained as the initial population. Subsequently, the parameters in the target area are combined and optimized, and the stretching speeds and heating temperatures of different points are combined through crossover operations to generate new parameter configurations, thereby expanding the possible optimization search space. On this basis, a random mutation operation is performed on the generated new parameter combination, that is, a small random perturbation is introduced to the stretching speed or heating temperature within a preset range to enhance parameter diversity and prevent falling into a local optimum. After crossover and mutation operations, a set of optimized stretching speeds and heating temperatures of the heat shrink tube are generated, and the stretching speed and heating temperature of the heat shrink tube are updated with the optimized stretching speed and heating temperature of the heat shrink tube.

[0056] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects: The present application obtains basic information of a target heat shrink tube and an outer diameter of a cable to be wrapped, wherein the basic information of the target heat shrink tube includes an initial density, an initial inner diameter, an initial wall thickness, and an initial length of the heat shrink tube before heat shrinkage, and a wall thickness threshold, a stretch ratio threshold, and an inner diameter threshold of the heat shrink tube after heat shrinkage, wherein 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, and the wall thickness threshold is less than or equal to the initial wall thickness; a heat shrink parameter prediction model for the heat shrink tube is obtained, wherein the heat shrink parameter prediction model for the heat shrink tube is used to process the stretching speed and heating temperature of the heat shrink tube, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length of the heat shrink tube. thickness, the initial length, and output the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage; when the predicted length after heat shrinkage meets the stretching ratio threshold, and the predicted inner diameter after heat shrinkage meets the inner diameter threshold, the wall thickness after heat shrinkage is calculated according to 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; when the predicted wall thickness after heat shrinkage meets the wall thickness threshold, the heat shrinkage tube stretching device is initialized by the heat shrinkage tube stretching speed, and the heat shrinkage tube heating device is initialized by the heat shrinkage tube heating temperature, and after the cable is inserted into the target heat shrinkage tube, heat shrinkage stretching and heating coordinated control are performed. The present invention solves the technical problem that the prior art cannot accurately control the size and wall thickness of the heat shrink tube, resulting in poor cable wrapping effect and insufficient process stability. By constructing a heat shrink parameter prediction model for the heat shrink tube, combined with the basic information of the target heat shrink tube and the outer diameter of the cable to be wrapped, the length, inner diameter and wall thickness after heat shrinkage are calculated, and compared with the set threshold, the stretching speed and heating temperature are dynamically adjusted, and the equipment is initialized to realize coordinated control of heat shrink stretching and heating, so as to accurately control the size and wall thickness of the heat shrink tube and achieve the technical effect of ensuring the cable wrapping effect.

[0057] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0058] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0059] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for coordinated control of stretching and heating for heat shrinking process, characterized in that: A stretching and heating coordinated control system applied to a heat shrinking process, wherein the system is communicatively connected to a heat shrinking device, wherein the heat shrinking device includes a heat shrinking tube stretching device and a heat shrinking tube heating device, including: Obtaining basic information of a target heat shrinkable tube and an outer diameter of a cable to be wrapped, wherein the basic information of the target heat shrinkable tube includes an initial density, an initial inner diameter, an initial wall thickness, and an initial length of the heat shrinkable tube before heat shrinkage, and a wall thickness threshold, a stretch ratio threshold, and an inner diameter threshold of the heat shrinkable tube after heat shrinkage, wherein 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, and the wall thickness threshold is less than or equal to the initial wall thickness; Obtaining a heat shrinkage parameter prediction model for a heat shrinkable tube, wherein the heat shrinkage parameter prediction model for a heat shrinkable tube is used to process the stretching speed and heating temperature of the heat shrinkable tube, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length, and outputs the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage; When the predicted length after heat shrinkage satisfies the stretch ratio threshold, and the predicted inner diameter after heat shrinkage satisfies the inner diameter threshold, the wall thickness after heat shrinkage is calculated according to 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; When the predicted wall thickness after heat shrinkage meets the wall thickness threshold, the heat shrink tube stretching device is initialized by the heat shrink tube stretching speed, and the heat shrink tube heating device is initialized by the heat shrink tube heating temperature. After the cable is inserted into the target heat shrink tube, heat shrinkage stretching and heating coordinated control are performed.

2. The method according to claim 1, characterized in that When the predicted length after heat shrinkage satisfies the stretch ratio threshold, and the predicted inner diameter after heat shrinkage satisfies the inner diameter threshold, the predicted wall thickness after heat shrinkage is calculated according to 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, including: Get the wall thickness calculation formula after heat shrinkage: ； in, , , , The density, inner diameter, wall thickness and length of the heat shrinkable tube before shrinking. , , The density, inner diameter and wall thickness of the heat shrinkable tube after heat shrinkage; when When the predicted length after heat shrinkage satisfies the stretch ratio threshold, when the predicted inner diameter after heat shrinkage satisfies the inner diameter threshold, the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage and the predicted density after heat shrinkage are calculated according to the calculation formula for wall thickness after heat shrinkage based on the initial density, the initial inner diameter, the initial wall thickness and the initial length to obtain the predicted wall thickness after heat shrinkage. Characterize the stretch ratio threshold, It is the length of the heat shrink tubing after shrinking.

3. The method according to claim 1, characterized in that Also includes: When at least one of the following triggers occurs: the predicted length after heat shrinkage does not meet the stretching ratio threshold, the predicted inner diameter after heat shrinkage does not meet the inner diameter threshold, and the predicted wall thickness after heat shrinkage does not meet the wall thickness threshold, the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube are updated.

4. The method according to claim 1, characterized in that A heat shrink parameter prediction model of a heat shrink tube is obtained, wherein the heat shrink parameter prediction model of the heat shrink tube is used to process the stretching speed and heating temperature of the heat shrink tube, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length, and outputs the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage, and the predicted density after heat shrinkage, including: Set the stretching speed constraint range and the heating temperature constraint range of the heat shrink tube; Perform random assignment according to the heat shrink tube stretching speed constraint interval and the heat shrink tube heating temperature constraint interval to obtain the heat shrink tube stretching speed and the heat shrink tube heating temperature; Through a plurality of heat shrinkage parameter prediction sub-channels of the heat shrinkage parameter prediction model of the heat shrinkage tube, the stretching speed of the heat shrinkage tube and the heating temperature of the heat shrinkage tube, as well as the initial density, the initial inner diameter, the initial wall thickness, and the initial length are processed to output a plurality of initial predicted lengths after heat shrinkage, a plurality of initial predicted inner diameters after heat shrinkage, and a plurality of initial predicted densities after heat shrinkage; The plurality of initial predicted lengths after heat shrinkage, the plurality of initial predicted inner diameters after heat shrinkage and the plurality of initial predicted densities after heat shrinkage are respectively subjected to mode full connection calculation to obtain the predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage and the predicted density after heat shrinkage.

5. The method according to claim 4, characterized in that The steps of constructing the heat shrinkage parameter prediction sub-channel of the heat shrinkable tube include: Collecting heat shrinkage stretching test data of the heat shrinkable tube, wherein the heat shrinkage stretching test data of the heat shrinkable tube includes heat shrinkage stretching speed record data, heat shrinkage temperature record data, and initial density record data, initial inner diameter record data, initial wall thickness record data, initial length record data, length record data after heat shrinkage, inner diameter record data after heat shrinkage, and density record data after heat shrinkage; The post-heat shrinkage length record data, the post-heat shrinkage inner diameter record data and the post-heat shrinkage density record data are used as ternary supervised data, and the heat shrink tube stretching speed record data, the heat shrink tube heating temperature record data, and the initial density record data, the initial inner diameter record data, the initial wall thickness record data, and the initial length record data are used as input to train a BP neural network and obtain the heat shrinkage parameter prediction sub-channel of the heat shrink tube.

6. The method according to claim 3, characterized in that Updating the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube includes: Obtain updated heat shrink tube stretching speed and updated heat shrink tube heating temperature; Construct a two-dimensional distribution coordinate system with velocity as the horizontal axis and temperature as the vertical axis; Distribute the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube in the two-dimensional distribution coordinate system to obtain a first distribution point; Distributing the updated heat shrink tube stretching speed and the updated heat shrink tube 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 a Euclidean distance threshold, the heat shrink tube stretching speed and the heat shrink tube heating temperature are updated according to the updated heat shrink tube stretching speed and the updated heat shrink tube heating temperature.

7. The method according to claim 6, characterized in that Updating the stretching speed of the heat shrink tube and the heating temperature of the heat shrink tube includes: When the number of updates is greater than or equal to the update number threshold, obtaining a distribution coordinate set of historical update points of the two-dimensional distribution coordinate system; The predicted length after heat shrinkage, the predicted inner diameter after heat shrinkage and the predicted wall thickness after heat shrinkage, and the deviation distances from the wall thickness threshold, the stretch ratio threshold and the inner diameter threshold are used as the fitness function, wherein 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, and 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; According to the fitness function, a group optimization is performed on the historical update point distribution coordinate set to update the heat shrink tube stretching speed and the heat shrink tube heating temperature.

8. The method according to claim 7, characterized in that According to the fitness function, performing group optimization on the historical update point distribution coordinate set to update the heat shrink tube stretching speed and the heat shrink tube heating temperature includes: According to the fitness function, the historical update point distribution coordinate set is sorted in descending order to obtain a distribution coordinate sorting result; Extract the distribution coordinates of the bottom 10% of the sorted areas and set them as the target area; Based on the target area, a group optimization is performed on the historical update point distribution coordinate set to update the heat shrink tube stretching speed and the heat shrink tube heating temperature.

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