Pipe blank piercing process parameter self-adaptive optimization method and system

Abstract

The application provides a pipe blank piercing process parameter self-adaptive optimization method and system, wherein the method comprises the following steps: acquiring the piercing process parameters and the pipe quality data of two-roller cross rolling; performing short-term self-adaptive optimization on the piercing process parameters through the pipe quality data and a preset short-term self-adaptive model; screening high-quality pipe quality data according to the results of the short-term self-adaptive optimization; establishing an excellent sample library based on the high-quality pipe quality data, wherein the excellent sample library comprises the high-quality pipe quality data and the piercing process parameters corresponding to the high-quality pipe quality data; performing long-term self-adaptive optimization on the piercing process parameters corresponding to the high-quality pipe quality data through the high-quality pipe quality data and a preset long-term self-adaptive model, and obtaining the setting precision interval of the pipe blank piercing process parameters. By using the application, the problems of low precision and low efficiency caused by the dependence of the current piercing machine process parameter setting on the calculation of the traditional analytical model and artificial experience correction can be solved.

Description

Technical Field

[0001] This invention relates to the field of mechanical automation control technology, and more specifically, to an adaptive optimization method and system for tube blank piercing process parameters based on industrial data. Background Technology

[0002] After the tube blank passes through a two-roll skew rolling mill, it becomes a rough tube. The piercing process parameters have a significant impact on the quality of the rough tube. At present, the setting of piercing mill process parameters relies on traditional analytical model calculations and manual experience corrections, which results in long adjustment cycles, low setting accuracy, and low efficiency. Summary of the Invention

[0003] In view of the above problems, the purpose of this invention is to provide an adaptive optimization method and system for billet piercing process parameters, so as to solve the problems of low accuracy and low efficiency caused by the current piercing machine process parameter setting relying on traditional analytical model calculation and manual experience.

[0004] This invention provides an adaptive optimization method for tube blank piercing process parameters, comprising:

[0005] S1: Obtain the piercing process parameters and tube quality data of the two-roll skew rolling process;

[0006] S2: Using the capillary quality data and a preset short-term adaptive model, perform short-term adaptive optimization of the perforation process parameters;

[0007] S3: Select high-quality capillary quality data based on the results of the short-term adaptive optimization;

[0008] S4: Establish an excellent sample library based on the high-quality capillary tube quality data; wherein, the excellent sample library includes the high-quality capillary tube quality data and the perforation process parameters corresponding to the high-quality capillary tube quality data;

[0009] S5: Using the high-quality tube quality data and the preset long-term adaptive model, the piercing process parameters corresponding to the high-quality tube quality data are subjected to long-term adaptive optimization to obtain the setting accuracy range of the tube blank piercing process parameters.

[0010] Furthermore, in a preferred embodiment, the perforation process parameters in step S1 include: tube blank diameter d z Roll diameter D g , Roll inlet cone angle α1, Roll outlet cone angle α2, Roll feed angle β, Mandrel nose diameter d1, Axial slip coefficient η0, Tangential slip coefficient η T The roll spacing b, guide plate spacing l, mandrel extension y, and mandrel diameter D are all parameters that need to be considered. t ;;

[0011] The capillary quality data includes: capillary wall thickness S0 and capillary outer diameter d0.

[0012] Furthermore, a preferred embodiment is that, in step S2, the condition for enabling the short-term adaptive model is:

[0013]

[0014] Δd>d limit

[0015] Where d0 is the measured outer diameter of the capillary tube; Target outer diameter; Δd is the deviation between the measured outer diameter of the capillary tube and the target outer diameter; d limit To adjust the threshold;

[0016] If the outer diameter deviation is greater than the adjustment threshold, the short-term adaptive model is activated; otherwise, the current process setting parameters are used.

[0017] Furthermore, a preferred embodiment includes the following steps in step S2:

[0018] (1) Input the currently measured outer diameter and length of the capillary tube into the piercing mill analytical model to obtain the roll spacing b, guide plate spacing l, and mandrel extension y:

[0019] b = (0.84:0.91)d z

[0020]

[0021] Where, d z d0 is the diameter of the tube blank; d0 is the outer diameter of the tube cap; D t η is the diameter of the mandrel; η0 is the axial slip coefficient; η T S0 is the tangential slip coefficient; S0 is the capillary wall thickness;

[0022] (2) Calculate b, l, y and the set value b respectively when the billet is pierced. set l set y set The deviation between them is then calculated, and the optimal parameter values ​​for the lower branch tube blank perforation are obtained using the exponential smoothing method, as follows:

[0023]

[0024] Among them, b opt l opt y opt These are the optimized roll spacing, guide plate spacing, and mandrel extension, used to set process parameters when piercing the lower branch billet.

[0025] κ b κ l κ yThese are the gain coefficients;

[0026] and These are the optimized parameter values ​​for perforating the lower branch pipe blank.

[0027] Furthermore, in a preferred embodiment, in step S3, when the measured outer diameter deviation of the perforated capillary is less than δ%, the capillary quality data is the quality data of the high-quality product.

[0028] When the measured outer diameter deviation of the capillary tube after perforation is greater than δ%, the capillary tube quality data cannot be used as high-quality product data, where δ is the preset allowable outer diameter deviation value during the perforation process.

[0029] Furthermore, in a preferred embodiment, the data in the excellent sample library in step S4 includes: billet specifications, tube specifications, and roll spacing b. opt Guide plate spacing l opt , the forward extension of the top head y opt .

[0030] Furthermore, a preferred approach is to input the capillary specification data from the excellent sample library into the piercing mill analytical model in step S5 to obtain the optimized roll spacing, guide plate spacing, and mandrel extension, using the following formulas:

[0031]

[0032] in, and These are the optimal parameters for the historical piercing process of tube blanks of the same specification in the excellent sample library, respectively; λ b , λ l , λ y These are experience values; These are the roll spacing, guide plate spacing, and mandrel extension amount after optimization by the piercing mill analytical model.

[0033] The present invention also provides an adaptive optimization system for tube blank piercing process parameters, comprising:

[0034] The process parameter and tube data acquisition module is used to acquire the piercing process parameters and tube quality data of the two-roll skew rolling.

[0035] The short-term adaptive optimization module is used to perform short-term adaptive optimization of the perforation process parameters using the capillary quality data and a preset short-term adaptive model.

[0036] The high-quality capillary quality data module is used to filter high-quality capillary quality data based on the results of the short-term adaptive optimization.

[0037] The preferred sample library establishment module is used to establish an excellent sample library based on the high-quality capillary quality data; wherein, the excellent sample library includes the high-quality capillary quality data and the perforation process parameters corresponding to the high-quality capillary quality data;

[0038] The long-term adaptive optimization module is used to perform long-term adaptive optimization of the piercing process parameters corresponding to the high-quality tube quality data and the long-term adaptive model to obtain the setting accuracy range of the tube blank piercing process parameters.

[0039] Furthermore, in a preferred embodiment, the perforation process parameters in the process parameters and capillary data acquisition module include: billet diameter d z Roll diameter D g , Roll inlet cone angle α1, Roll outlet cone angle α2, Roll feed angle β, Mandrel nose diameter d1, Axial slip coefficient η0, Tangential slip coefficient η T The roll spacing b, guide plate spacing l, mandrel extension y, and mandrel diameter D are all parameters that need to be considered. t ;;

[0040] The capillary quality data includes: capillary wall thickness S0 and capillary outer diameter d0.

[0041] Furthermore, in a preferred embodiment, the condition for enabling the short-term adaptive model in the short-term adaptive optimization module is as follows:

[0042]

[0043] Δd>d limit

[0044] Where d0 is the measured outer diameter of the capillary tube; Target outer diameter; Δd is the deviation between the measured outer diameter of the capillary tube and the target outer diameter; d limit To adjust the threshold;

[0045] If the outer diameter deviation is greater than the adjustment threshold, the short-term adaptive model is activated; otherwise, the current process setting parameters are used.

[0046] As can be seen from the above technical solution, the adaptive optimization method and system for billet piercing process parameters provided by this invention first acquires the process parameters and tube quality data of two-roll skew rolling piercing production. Then, through a developed short-term adaptive model, combined with the tube quality data, the process parameters of the two-roll skew rolling piercing mill are optimized in a short-term adaptive manner. A high-quality sample library is established by collecting high-quality tube quality data and its piercing process parameters. Based on this, a long-term and short-term adaptive model is used to improve the accuracy of process parameter settings when changing billet specifications during piercing. Compared with the traditional analytical model of two-roll skew rolling piercing mill process parameters, the adaptive optimization method of this invention fully utilizes the production process data from the industrial site to improve the accuracy of piercing process parameter settings. This not only reduces manual intervention but also improves the quality of tube products, ensuring stable equipment operation.

[0047] To achieve the foregoing and related objectives, one or more aspects of the invention include the features that will be described in detail below. The following description and accompanying drawings illustrate certain exemplary aspects of the invention. However, these aspects indicate only a few of the various ways in which the principles of the invention can be used. Furthermore, the invention is intended to encompass all such aspects and their equivalents. Attached Figure Description

[0048] Other objects and results of the invention will become more apparent and readily understood with reference to the following description taken in conjunction with the accompanying drawings. In the drawings:

[0049] Figure 1 This is a schematic diagram of the adaptive optimization method for tube blank piercing process parameters according to an embodiment of the present invention;

[0050] Figure 2 This is a schematic diagram of the logic structure of the tube blank piercing process parameter adaptive optimization system according to an embodiment of the present invention.

[0051] In all the accompanying drawings, the same reference numerals indicate similar or corresponding features or functions. Detailed Implementation

[0052] In the following description, numerous specific details are set forth for illustrative purposes and to provide a thorough understanding of one or more embodiments. However, it will be apparent that these embodiments may also be implemented without these specific details. In other instances, well-known structures and devices are shown in block diagram form for ease of description of one or more embodiments.

[0053] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0054] To address the aforementioned problems of low accuracy and low efficiency caused by the reliance on traditional analytical models and manual experience in setting process parameters for tube blank piercing, this invention provides an adaptive optimization method and system for tube blank piercing process parameters.

[0055] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0056] To illustrate the adaptive optimization method for tube blank piercing process parameters provided by this invention Figure 1 The flowchart of an adaptive optimization method for tube blank piercing process parameters according to an embodiment of the present invention is shown.

[0057] like Figure 1 As shown, the adaptive optimization method for tube blank piercing process parameters provided by the present invention includes:

[0058] S1: Obtain the piercing process parameters and tube quality data of the two-roll skew rolling process;

[0059] S2: Short-term adaptive optimization of perforation process parameters is performed using capillary quality data and a preset short-term adaptive model;

[0060] S3: Select high-quality capillary tube quality data based on the results of short-term adaptive optimization;

[0061] S4: Establish an excellent sample library based on high-quality capillary tube quality data; wherein, the excellent sample library includes the high-quality capillary tube quality data and the perforation process parameters corresponding to the high-quality capillary tube quality data;

[0062] S5: By using high-quality tube quality data and a preset long-term adaptive model, the piercing process parameters corresponding to the high-quality tube quality data are optimized in a long-term adaptive manner to obtain the setting accuracy range of the tube blank piercing process parameters.

[0063] The following will use a continuous rolling mill production line of a steel pipe plant as an implementation example to provide a detailed illustrative description of each step in the adaptive optimization method for billet piercing process parameters provided by the present invention.

[0064] In step S1, the process parameters and tube quality data of the two-roll skew rolling piercing production are obtained, as shown in Table 1: tube diameter d z Roll diameter D g , Roll inlet cone angle α1, Roll outlet cone angle α2, Roll feed angle β, Mandrel nose diameter d1, Axial slip coefficient η0, Tangential slip coefficient η T Roll spacing b, guide plate spacing l, mandrel extension y, mandrel diameter D t Capillary wall thickness S0, capillary outer diameter d0.

[0065] Table 1 Production Data from Industrial Sites

[0066]

[0067] In step S2, a short-term adaptive model for the piercing mill process parameters is developed to perform short-term adaptive optimization of the two-roll skew rolling piercing mill process parameters. In this implementation case, the model was run continuously for 10 days, and the results are shown in Table 2 below, where O / C represent whether the short-term adaptive model was enabled or not.

[0068] Table 2 Results of Short-Term Adaptive Model Operation

[0069]

[0070] The conditions for enabling the short-term adaptive model are as follows:

[0071]

[0072] Δd>d limit

[0073] Where d0 is the measured outer diameter of the capillary tube; Target outer diameter; Δd is the deviation between the measured outer diameter of the capillary tube and the target outer diameter; d limit To adjust the threshold;

[0074] If the outer diameter deviation is greater than the adjustment threshold, the short-term adaptive model is activated; otherwise, the current process settings are used.

[0075] In step S2, the short-term adaptive model performs short-term adaptive optimization of the perforation process parameters, including the following steps:

[0076] (1) Input the currently measured outer diameter and length of the capillary tube into the piercing mill analytical model to obtain the roll spacing b, guide plate spacing l, and mandrel extension y:

[0077] b = (0.84:0.91)d z

[0078]

[0079] Where, d z d0 is the diameter of the tube blank; d0 is the outer diameter of the tube cap; D t η is the diameter of the mandrel; η0 is the axial slip coefficient; η T S0 is the tangential slip coefficient; S0 is the capillary wall thickness;

[0080] (2) Calculate b, l, y and the set value b respectively when the billet is pierced. set l set y set The deviation between them is then calculated, and the optimal parameter values ​​for the lower branch tube blank perforation are obtained using the exponential smoothing method, as follows:

[0081]

[0082]

[0083] Among them, b opt l opt y opt These are the optimized roll spacing, guide plate spacing, and mandrel extension, used to set process parameters when piercing the lower branch billet.

[0084] κ b κ l κ y These are the gain coefficients (between 0 and 1);

[0085] and These are the optimized parameter values ​​for perforating the lower branch pipe blank.

[0086] In this invention, the gain coefficient reflects the degree of utilization of real-time measurement data of the tube blank and includes the influence of external factors such as tube blank temperature drop and wear of the rolls and mandrel. If the value is too large, it will cause "oscillation" of the optimization parameters; if the value is too small, it will slow down the optimization speed. Therefore, this invention adopts a dynamic adjustment mode for the gain coefficient. That is, when changing specifications, a larger gain coefficient is used for the first tube blank to make corrections as soon as possible. The gain coefficient is gradually reduced for the second and third blanks to ensure stability until the outer diameter deviation Δd < adjustment threshold d. limit If the current process parameters are not set, then the current process parameters will be used; otherwise, step (2) will continue.

[0087] In steps S3 and S4, when the measured outer diameter deviation of the pierced tube is less than δ%, the tube quality data is considered high-quality product data; when the measured outer diameter deviation of the pierced tube is greater than δ%, the tube quality data cannot be considered high-quality product data, where δ is a preset allowable outer diameter deviation value during the piercing process. The data in the excellent sample library includes: billet specifications, tube specifications, and roll spacing b. optGuide plate spacing l opt , the forward extension of the top head y opt .

[0088] Based on the production process requirements of this implementation case, and according to the constraint that the measured outer diameter deviation of the capillary after perforation is less than 0.5%, high-quality product data and their perforation process parameters were selected to establish an excellent sample library. Some of the data are shown in Table 3 below:

[0089] Table 3. Partial data from the excellent sample library

[0090]

[0091] In step S5, the capillary specification data from the excellent sample library is input into the piercing mill analytical model to obtain the optimized roll spacing, guide plate spacing, and mandrel overhang, using the following formulas:

[0092]

[0093] in, and These are the optimal parameters for the historical piercing process of tube blanks of the same specification in the excellent sample library, respectively; λ b , λ l , λ y These are experience values; These are the roll spacing, guide plate spacing, and mandrel extension, optimized using the analytical model of the piercing mill. The exit of the two-roll skew rolling piercing mill must be equipped with equipment for detecting the outer diameter and length of the tube.

[0094] In this invention, the accuracy of process parameter setting during the perforation of the tube blank is improved by using a long-term adaptive model.

[0095] Table 4 Process parameter settings when changing specifications

[0096]

[0097] After continuous production using the method described in this invention for a period of time, the accuracy of capillary outer diameter control compared to the original manual correction method is shown in the table below. As can be seen from Table 5, the method of this invention not only comprehensively improves the setting accuracy of the piercing process parameters but also greatly improves the control accuracy of the capillary outer diameter, which fully demonstrates the effectiveness of this method.

[0098] Table 5 Comparison of Capillary Outer Diameter Control Accuracy

[0099]

[0100] As can be seen from the above technical solution, compared with the traditional analytical model of process parameters for two-roll skew rolling piercing mill, the adaptive optimization method of this invention makes full use of the production process data on the industrial site to improve the accuracy of piercing process parameter setting. It can not only reduce manual operation intervention, but also improve the quality of tube products and provide a guarantee for the stable operation of the equipment.

[0101] Corresponding to the above method, the present invention also provides an adaptive optimization system for billet piercing process parameters. Figure 2 The logical structure of an adaptive optimization system for tube blank piercing process parameters according to an embodiment of the present invention is shown.

[0102] like Figure 2 As shown, the tube blank piercing process parameter adaptive optimization system 200 provided by the present invention includes:

[0103] The process parameter and tube data acquisition module 210 is used to acquire the piercing process parameters and tube quality data of the two-roll skew rolling.

[0104] The short-term adaptive optimization module 220 is used to perform short-term adaptive optimization of the perforation process parameters using the capillary quality data and a preset short-term adaptive model.

[0105] The high-quality capillary quality data module 230 is used to filter high-quality capillary quality data based on the results of short-term adaptive optimization.

[0106] The preferred sample library establishment module 240 is used to establish an excellent sample library based on high-quality capillary quality data. The excellent sample library includes the high-quality capillary quality data and the perforation process parameters corresponding to the high-quality capillary quality data.

[0107] The long-term adaptive optimization module 250 is used to perform long-term adaptive optimization on the piercing process parameters corresponding to the high-quality tube quality data and the preset long-term adaptive model to obtain the setting accuracy range of the tube blank piercing process parameters.

[0108] In the process parameter and capillary data acquisition module, the perforation process parameters include: billet diameter d z Roll diameter D g , Roll inlet cone angle α1, Roll outlet cone angle α2, Roll feed angle β, Mandrel nose diameter d1, Axial slip coefficient η0, Tangential slip coefficient η T The roll spacing b, guide plate spacing l, mandrel extension y, and mandrel diameter D are all parameters that need to be considered. t ;;

[0109] The capillary quality data includes: capillary wall thickness S0 and capillary outer diameter d0.

[0110] In the short-term adaptive optimization module, the condition for enabling the short-term adaptive model is:

[0111]

[0112] Δd>d limit

[0113] Where d0 is the measured outer diameter of the capillary tube; Target outer diameter; Δd is the deviation between the measured outer diameter of the capillary tube and the target outer diameter; d limit To adjust the threshold;

[0114] If the outer diameter deviation is greater than the adjustment threshold, the short-term adaptive model is activated; otherwise, the current process setting parameters are used.

[0115] As for the embodiments of the tube blank piercing process parameter adaptive optimization system provided by the present invention, since they are basically similar to the embodiments of the tube blank piercing process parameter adaptive optimization method, the relevant parts can be referred to in the description of the method embodiments, and will not be repeated here.

[0116] As can be seen from the above technical solution, the adaptive optimization method and system for billet piercing process parameters provided by this invention first acquires the process parameters and tube quality data of two-roll skew rolling piercing production. Then, through a developed short-term adaptive model, combined with the tube quality data, the process parameters of the two-roll skew rolling piercing mill are optimized in a short-term adaptive manner. A high-quality sample library is established by collecting high-quality tube quality data and its piercing process parameters. Based on this, a long-term and short-term adaptive model is used to improve the accuracy of process parameter settings when changing billet specifications during piercing. Compared with the traditional analytical model of two-roll skew rolling piercing mill process parameters, the adaptive optimization method of this invention fully utilizes the production process data from the industrial site to improve the accuracy of piercing process parameter settings. This not only reduces manual intervention but also improves the quality of tube products, ensuring stable equipment operation.

[0117] As referred above Figures 1 to 2 The method and system for adaptive optimization of billet piercing process parameters according to the present invention are described by way of example. However, those skilled in the art should understand that various modifications can be made to the method and system for adaptive optimization of billet piercing process parameters proposed in the present invention without departing from the scope of the present invention. Therefore, the scope of protection of the present invention should be determined by the content of the appended claims.

Claims

1. An adaptive optimization method for tube blank piercing process parameters, characterized in that, include: S1: Obtain the piercing process parameters and tube quality data of the two-roll skew rolling process; The perforation process parameters include: tube blank diameter. d z Roll diameter D g Roll inlet cone angle α 1. Roll exit cone angle α 2. Roll feed angle β Diameter of the top of the nose d 1. Axial slip coefficient η 0. Tangential slip coefficient η T Roll spacing b Guide plate spacing l Forward extension of the top head y and top diameter D t； The capillary quality data includes: capillary wall thickness. S 0. Capillary outer diameter d 0; S2: Using the capillary quality data and a preset short-term adaptive model, perform short-term adaptive optimization on the perforation process parameters; the conditions for enabling the short-term adaptive model are: in, d 0 represents the measured outer diameter of the capillary tube; Target outer diameter; Δ d This is the deviation between the measured outer diameter of the capillary tube and the target outer diameter. d limit To adjust the threshold; If the outer diameter deviation is greater than the adjustment threshold, the short-term adaptive model is activated; otherwise, the current process setting parameters are used. Includes the following steps: (1) Input the current measured outer diameter and length of the capillary tube into the piercing mill analytical model to obtain the roll spacing. b Guide plate spacing l Forward extension of the top head y : in, d z The diameter of the tube blank; d 0 represents the outer diameter of the capillary tube; D t The diameter of the tip; η 0 represents the axial slip coefficient; η T The tangential slip coefficient; S 0 represents the capillary wall thickness; (2) Calculate the current billet piercing time respectively b , l , y With set value b set , l set , y set The deviation between them is then calculated, and the optimal parameter values ​​for the lower branch tube blank perforation are obtained using the exponential smoothing method, as follows: in, b opt , l opt , y opt These are the optimized roll spacing, guide plate spacing, and mandrel extension, used to set process parameters when piercing the lower branch billet. κ b , κ l , κ y These are the gain coefficients; , and These are the optimized parameter values ​​for perforating the lower branch pipe blank; S3: Select high-quality capillary quality data based on the results of the short-term adaptive optimization; S4: Establish an excellent sample library based on the high-quality tube quality data; wherein, the excellent sample library includes the high-quality tube quality data and the piercing process parameters corresponding to the high-quality tube quality data; the data in the excellent sample library includes: billet specifications, tube specifications, and roll spacing. b opt Guide plate spacing l opt Forward extension of the top head y opt ; S5: Using the high-quality tube quality data and a preset long-term adaptive model, the piercing process parameters corresponding to the high-quality tube quality data are subjected to long-term adaptive optimization to obtain the setting accuracy range of the tube blank piercing process parameters; the formula used is as follows: in, , and These are the optimal parameters for the historical piercing process of the same specification tube blank in the excellent sample library, respectively. λ b , λ l , λ y These are experience values; , , These are the roll spacing, guide plate spacing, and mandrel extension amount after optimization by the piercing mill analytical model.

2. The adaptive optimization method for tube blank piercing process parameters as described in claim 1, characterized in that, In step S3, when the measured outer diameter deviation of the capillary tube after perforation is less than... δ When the percentage is reached, the capillary quality data is considered high-quality product data; When the measured outer diameter deviation of the capillary tube after perforation is greater than δ When the percentage is reached, the capillary quality data cannot be used as high-quality product data; among which, δ This is the preset allowable outer diameter deviation value during the piercing process.

3. An adaptive optimization system for billet piercing process parameters, applied to the adaptive optimization method for billet piercing process parameters as described in any one of claims 1-2, characterized in that, include: The process parameter and tube data acquisition module is used to acquire the piercing process parameters and tube quality data of the two-roll skew rolling. The short-term adaptive optimization module is used to perform short-term adaptive optimization of the perforation process parameters using the capillary quality data and a preset short-term adaptive model. The high-quality capillary quality data module is used to filter high-quality capillary quality data based on the results of the short-term adaptive optimization. An excellent sample library establishment module is used to establish an excellent sample library based on the high-quality capillary quality data; wherein, the excellent sample library includes the high-quality capillary quality data and the perforation process parameters corresponding to the high-quality capillary quality data; The long-term adaptive optimization module is used to perform long-term adaptive optimization of the piercing process parameters corresponding to the high-quality tube quality data and the preset long-term adaptive model to obtain the setting accuracy range of the tube blank piercing process parameters.

4. The tube blank piercing process parameter adaptive optimization system as described in claim 3, characterized in that, In the process parameter and capillary data acquisition module, the perforation process parameters include: billet diameter. d z Roll diameter D g Roll inlet cone angle α 1. Roll exit cone angle α 2. Roll feed angle β Diameter of the top of the nose d 1. Axial slip coefficient η 0. Tangential slip coefficient η T Roll spacing b Guide plate spacing l Forward extension of the top head y and top diameter D t； ; The capillary quality data includes: capillary wall thickness. S 0. Capillary outer diameter d 0.

5. The tube blank piercing process parameter adaptive optimization system as described in claim 3, characterized in that, In the short-term adaptive optimization module, the condition for enabling the short-term adaptive model is: in, d 0 represents the measured outer diameter of the capillary tube; Target outer diameter; Δ d This is the deviation between the measured outer diameter of the capillary tube and the target outer diameter. d limit To adjust the threshold; If the outer diameter deviation is greater than the adjustment threshold, the short-term adaptive model is activated; otherwise, the current process setting parameters are used.

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