Python-based seamless tube FQM continuous mill wall thickness regulation and control system and method

Abstract

The invention relates to the technical field of seamless tube continuous mill automation and intelligent control, in particular to a Python-based seamless tube FQM continuous mill wall thickness regulation and control system and method, and the system comprises a parameter module, a PLC monitoring system, a simulation module, a comparison module and an adjustment module. According to the method, the key process parameters of the continuous mill wall thickness production line are predicted based on the preset mathematical model, accurate prediction and flexible adjustment of the key process parameters of the continuous mill wall thickness production line are achieved, and the automation and intelligence level of the production line is improved; meanwhile, the actual groove bottom wall thickness of the sample steel pipe on each rack of the continuous mill is deduced based on the outlet wall thickness of the pipe removing machine, and adjustment is carried out based on the comparison result of the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe on each rack, so that accurate closed-loop adjustment of the wall thickness of each rack of the continuous mill is realized. And the size and the shape precision of a final product are effectively ensured to meet the design requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of automation and intelligent control of seamless pipe continuous rolling mills, and in particular to a Python-based seamless pipe FQM continuous rolling mill wall thickness control system and method. Background Art

[0002] The commissioning of the seamless steel pipe continuous rolling production line is a complex and critical process. Currently, it is mainly carried out manually. Every time a specification is changed or a new variety is tried, the production line needs to be debugged in detail, which leads to long debugging time, high manual operation intensity, and high reliance on experienced technicians. Especially in the control of the wall thickness of the continuous rolling mill, it relies more on manual experience and manual adjustment, resulting in low wall thickness control accuracy, uneven product quality, and long debugging cycle.

[0003] Therefore, improving the intelligence level of seamless steel pipe continuous rolling production lines, especially the intelligent research on the wall thickness control system of the continuous rolling mill, has become an urgent need in the current field of steel pipe continuous rolling production lines. Summary of the invention

[0004] In view of the deficiencies in the above-mentioned prior art, the present invention provides a seamless pipe FQM continuous rolling mill wall thickness control system and method based on Python, so as to solve the problems that the traditional continuous rolling mill wall thickness control process mostly relies on manual experience, the product quality is uneven and the debugging time is long, and an automatic, intelligent and high-precision seamless pipe continuous rolling mill wall thickness control system and method are provided for the continuous rolling mill wall thickness control process.

[0005] The present invention provides a seamless pipe FQM continuous rolling mill wall thickness control system based on Python, comprising: An input module is used to input the number of stands of the continuous rolling mill, the type of sample steel pipe and basic parameter data, wherein the basic parameters of the sample steel pipe include: rough pipe wall thickness, rough pipe wall thickness, mandrel diameter, groove bottom radius of each stand, opening degree of each stand, rough pipe diameter, nominal roll diameter, roll working diameter and rod insertion gap of the sample steel pipe in each stand; The parameter module calculates the wall thickness process parameters based on the preset mathematical model, wherein the wall thickness process parameters include: the ideal groove bottom wall thickness of the sample steel pipe in each rack, the hole parameters of each rack and the roller speed of each rack; The PLC monitoring system receives the roll speed of each stand and transmits it to the production system. At the same time, based on the ideal groove bottom wall thickness of the sample steel pipe in each stand, The pressing amount of the rolls of each stand is calculated and transmitted to the production system; in addition, after receiving the data transmitted by the adjustment module, the wall thickness adjustment amount of the sample steel pipe in each stand is first used as the pressing amount of the rolls of each stand, and then the pressing amount of the rolls of each stand and the roll speed adjustment amount of each stand are fed back to the production system, and the production system adjusts the roll speed and the pressing amount of the rolls of each stand; The production system controls the continuous rolling mill to perform actual production based on the hole parameter data of each stand transmitted by the parameter module and the data transmitted by the PLC monitoring system, and receives the wall thickness of the sample steel pipe at the tube stripping machine outlet detected by the wall thickness detection system located at the tube stripping machine in real time during the production process; The simulation module obtains the outlet wall thickness of the sample steel pipe at the tube stripping machine and derives the actual bottom wall thickness of the sample steel pipe at each rack based on the data; Comparison module, based on parameter module and simulation module to obtain the ideal bottom wall thickness of sample steel pipe in each rack and actual groove bottom wall thickness And compare, if the comparison result is , then the product that meets the design requirements is obtained and the wall thickness process parameters of the product are transmitted to the database for storage, and the next round of production is continued; otherwise, an operation instruction is issued to the adjustment module; The adjustment module, after receiving the operation instruction issued by the comparison module, obtains the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each frame based on the parameter module and the simulation module and calculates the wall thickness adjustment amount of the sample steel pipe in each frame, and then calls the parameter module based on the wall thickness adjustment amount of the sample steel pipe in each frame to calculate the roller speed adjustment amount of each frame, and then transmits the wall thickness adjustment amount of the sample steel pipe in each frame and the roller speed adjustment amount of each frame to the PLC monitoring system.

[0006] Preferably, the specific steps of the parameter module calculating the wall thickness process parameters based on the preset mathematical model are: S11. Calculate the ideal bottom wall thickness of the sample steel pipe in each rack. The specific steps are as follows: S111. Calculate the total wall reduction rate based on the rough pipe wall thickness and the rough pipe wall thickness. The calculation formula is as follows: , In the formula, represents the capillary wall thickness, Indicates the wall thickness of the rough pipe. It represents the total wall reduction rate; S112, calculating the groove bottom wall reduction rate of the sample steel pipe in each rack based on the preset groove bottom wall reduction rate distribution rule of each rack; S113. According to the rough tube wall thickness and the groove bottom wall reduction rate of the sample steel pipe in each rack, the ideal groove bottom wall thickness of the sample steel pipe in each rack is calculated. The calculation formula is as follows: , In the formula, Indicates that the sample steel pipe is i The ideal bottom wall thickness of the rack; S12. Based on the ideal groove bottom wall thickness of the sample steel pipe in each rack, the hole parameters of each rack are calculated, wherein the hole parameters include hole height, hole ellipticity coefficient and hole width. The specific steps are as follows: S121. Based on the ideal bottom wall thickness of each rack, calculate the hole height of each rack. The calculation formula is as follows: , In the formula, Indicates i The hole height of the rack, m represents the core rod diameter, Indicates i The ideal bottom wall thickness of the rack is Indicates the diameter of the rough pipe; S122. Based on the hole height of each rack, the hole ovality coefficient of each rack is calculated. The calculation formula is as follows: , In the formula, Indicates i The hole ovality coefficient of the rack, Indicates i The bottom radius of the rack; S123. Based on the hole ovality coefficient of each rack, the hole width of each rack is calculated. The calculation formula is as follows: , In the formula, Indicates i The hole width of the rack; S13, based on the outlet speed of the sample steel pipe at each stand and the average working diameter of the rollers of each stand, the roller speed of each stand is calculated, and the specific steps are: S131. Calculate the outlet speed of the sample steel pipe at each rack. The specific steps are: S1311. Based on the opening degree and hole type parameters of each rack, calculate the cross-sectional area of ​​the sample steel pipe at the bottom of each rack slot. The calculation formula is as follows: , In the formula, Indicates that the sample steel pipe is i Cross-sectional area at the bottom of the rack slot, Indicates i The opening of the rack; S1312. According to conventional experience, the outlet speed of the sample steel pipe at the last rack is set, and then the outlet speed of the sample steel pipe at each rack is calculated according to the principle of metal flow deformation invariance. The calculation formula is as follows: , In the formula, Respectively represent the sample steel pipe in the i , i +1 rack's exit speed, Respectively represent the sample steel pipe in the i , i +1 Cross-sectional area of ​​the rack at the bottom of the slot; S132, based on the working diameters of the rolls at a number of arbitrary points, the average working diameter of the rolls of each stand is calculated by integration, the specific steps are as follows: S1321. Calculate the working diameter of the roller at a number of arbitrary points, wherein the calculation formula of the working diameter of the roller at any point is as follows: , In the formula, Indicates the working diameter of the roller at any point, represents the nominal diameter of the roll at any point, represents the radius of the groove bottom at any point, Indicates the corresponding bite angle; S1322. Based on the working diameters of the rolls at a number of arbitrary points, the average working diameter of the rolls of each stand is calculated by integration. The calculation formula is as follows: , In the formula, Indicates i Average working diameter of the rolls of the stand, Indicates the nominal diameter of the roll, Indicates i The ovality coefficient of the frame, d is the integral symbol, Indicates i The bottom radius of the rack, Indicates i The opening degree of the rack, x represents the integration interval The integral variable of ; S133. Based on the outlet speed of the sample steel pipe at each stand and the average working diameter of the rolls of each stand, the roll speed of each stand is calculated. The calculation formula is as follows: , In the formula, Indicates i Roller speed of the stand.

[0007] Preferably, the preset distribution rule of the groove bottom wall reduction rate of each rack is: the groove bottom wall reduction rate of the sample steel pipe in each rack is approximately equal to the groove bottom wall reduction rate of the sample steel pipe in the next rack. n% , as shown below: , In the formula, Indicates that the sample steel pipe is i The rack bottom wall reduction rate; In addition, the wall reduction of the sample steel pipe at the bottom of each rack is calculated as follows: , In the formula, Indicates that the sample steel pipe is i The amount of wall reduction at the bottom of the rack.

[0008] Preferably, the calculation formula for the pressing amount of each stand roller in the PLC monitoring system is as follows: , In the formula, Indicates i The amount of depression of the stand roller.

[0009] Preferably, the specific steps of the simulation module inferring the actual bottom wall thickness of the sample steel pipe in each rack based on the outlet wall thickness of the sample steel pipe of the tube stripping machine are: S21. According to the principle of constant volume, the actual bottom wall thickness of the sample steel pipe at the last rack is deduced as follows: , , , , , In the formula, It indicates the actual volume of the sample steel pipe after it is rolled out by the last stand of the continuous rolling mill. It indicates the actual groove bottom wall thickness of the sample steel pipe after it is rolled out by the last stand of the continuous rolling mill. It indicates the actual outer diameter of the sample steel pipe after being rolled out by the last stand of the continuous rolling mill. It indicates the actual length of the sample steel pipe after it is rolled out by the last stand of the continuous rolling mill. Indicates the outlet volume of the sample steel pipe from the tube stripping machine, Indicates the wall thickness of the sample steel pipe at the outlet of the tube stripping machine. Indicates the outer diameter of the sample steel pipe at the outlet of the tube stripping machine. Indicates the outlet length of the sample steel pipe from the tube stripping machine; S22. According to the principle of equal second flow rate, the actual groove bottom wall thickness of the sample steel pipe in the previous rack is calculated based on the actual groove bottom wall thickness of the sample steel pipe in the current rack, so as to obtain the actual groove bottom wall thickness of the sample steel pipe in all racks. The calculation formula is as follows: , In the formula, They represent the sample steel pipes after continuous rolling mill i -1 、i The actual groove bottom wall thickness after the frame is rolled out. Respectively represent the sample steel pipe through the continuous rolling mill i -1 、i The actual outer diameter after the rack is rolled out. Respectively represent the sample steel pipe in the i -1 、i The outlet speed of the rack, m represents the core rod diameter, Indicates that the sample steel pipe is i Plunger clearance of the rack.

[0010] Preferably, the system is also provided with a database for storing the wall thickness process parameters of products that meet the design requirements, wherein the ideal groove bottom wall thickness of the sample steel pipe in each rack and the hole type parameters of each rack are the data initially calculated by the parameter module, and the rolling roller speed of each rack is the actual rolling roller speed for producing products that meet the design requirements.

[0011] Preferably, when comparing the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each frame in the comparison module, if the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in one part of the frame are the same, but the ideal groove bottom wall thickness and the actual groove bottom wall thickness in another part of the frame are different, the adjustment module only calculates the roller speed adjustment amount of the sample steel pipe in the other part of the frame.

[0012] Preferably, the specific steps of the adjustment module calculating the roller speed adjustment amount of each frame are: S31. Based on the ideal groove bottom wall thickness and actual groove bottom wall thickness of the sample steel pipe in each rack, the wall thickness adjustment amount of the sample steel pipe in each rack is obtained. The calculation formula is as follows: , In the formula, Indicates the wall thickness adjustment of the sample steel pipe in the i-th rack, It indicates the actual bottom wall thickness of the sample steel pipe in the i-th rack. It represents the ideal bottom wall thickness of the sample steel pipe in the i-th rack; S32. Based on the wall thickness adjustment of the sample steel pipe in each stand, call steps S12-S14 in the parameter module to calculate the roller speed adjustment of each stand.

[0013] The present invention also provides a Python-based seamless pipe FQM continuous rolling mill wall thickness control method, which is applied to a Python-based seamless pipe FQM continuous rolling mill wall thickness control system, and the specific steps are: S41, the input module receives the user input data and transmits it to the parameter module; S42, the parameter module calculates the wall thickness process parameters based on the preset mathematical model and transmits them to the PLC monitoring system and the production system, wherein the wall thickness process parameters include: the ideal groove bottom wall thickness of the sample steel pipe in each rack, the hole type parameters of each rack and the roller speed of each rack; S43, the PLC monitoring system obtains the pressing amount of the rolls of each stand based on the data transmitted by the parameter module, and transmits the pressing amount of the rolls of each stand and the roll speed of each stand to the production system; S44, the production system performs actual production based on the hole parameters of each stand transmitted by the parameter module and the pressing amount of each stand roll and the roll speed of each stand transmitted by the PLC monitoring system, and receives the wall thickness of the sample steel pipe at the tube stripping machine outlet detected by the wall thickness detection system located at the tube stripping machine in real time during the production process and transmits it to the simulation module; S45, the simulation module deduces the actual groove bottom wall thickness of the sample steel pipe in each rack based on the outlet wall thickness of the sample steel pipe at the tube stripping machine, and transmits it to the comparison module; S46, the comparison module obtains the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each rack based on the parameter module and the simulation module and compares them. If the comparison result is , then the product that meets the design requirements is obtained and the wall thickness process parameters of the product are transmitted to the database for storage, and the next round of production is continued; otherwise, an operation instruction is issued to the adjustment module; S47, after receiving the operation instruction from the comparison module, the adjustment module obtains the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each rack based on the parameter module and the simulation module and calculates the wall thickness adjustment amount of the sample steel pipe in each rack, and then calls the parameter module based on the wall thickness adjustment amount of the sample steel pipe in each rack to calculate the roller speed adjustment amount of each rack, and then transmits the wall thickness adjustment amount of the sample steel pipe in each rack and the roller speed adjustment amount of each rack to the PLC monitoring system; S48, the PLC monitoring system uses the wall thickness adjustment of the sample steel pipe in each rack as the pressure adjustment of the rollers of each rack, and then feeds back the pressure adjustment of the rollers of each rack and the roller speed adjustment of each rack to the production system, which adjusts the roller speed and the pressure of the rollers of each rack, and continues to execute steps S44-S48 until the comparison result in step S46 is Stop when.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention predicts the key process parameters of the continuous rolling mill wall thickness production line based on a mathematical model, which not only realizes the accurate prediction and flexible adjustment of the key process parameters of the continuous rolling mill wall thickness production line, but also improves the automation and intelligence level of the production line.

[0015] 2. The present invention deduces the actual groove bottom wall thickness of the sample steel pipe in each frame of the continuous rolling mill based on the wall thickness at the outlet of the tube stripping machine, and makes adjustments based on the comparison results of the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each frame, thereby realizing the precise closed-loop adjustment of the wall thickness of each frame of the continuous rolling mill, effectively ensuring that the size and shape accuracy of the final product meet the design requirements, providing a scientific theoretical basis for actual production, and also laying a solid foundation for subsequent intelligent regulation; in addition, the closed-loop adjustment system effectively reduces the scrap rate and rework rate in the production process by real-time monitoring and adjusting the groove bottom wall thickness of the sample steel pipe in each frame of the continuous rolling mill, and reduces the raw material cost, labor cost and management cost in the production process.

[0016] 3. The present invention reduces the need for manual intervention in the production process by introducing an automated control system, effectively solving the problem of long-term reliance on manual experience for wall thickness control of the continuous rolling mill, achieving accuracy and consistency in wall thickness control, and further improving the automation level and operating efficiency of the entire production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative work.

[0018] Figure 1 It is a working principle diagram of the non-operation of the adjustment module in the wall thickness control system of the seamless pipe FQM continuous rolling mill based on Python in the present invention; Figure 2 The ideal groove bottom wall thickness curve diagram of the sample steel pipe in six racks in the embodiment of the present invention; Figure 3 The graph of the wall reduction rate of the bottom of the groove of the sample steel pipe in six racks in the embodiment of the present invention; Figure 4 The graph of the wall reduction at the bottom of the groove of the sample steel pipe in six racks in the embodiment of the present invention; Figure 5 is a hole height curve diagram of six racks in an embodiment of the present invention; Figure 6 is a curve diagram of hole type ellipticity coefficients of six racks in an embodiment of the present invention; Figure 7It is a schematic diagram of calculating the working diameter of the roller at any point in the embodiment of the present invention; Figure 8 This is a working principle diagram of the adjustment module participating in the operation of the wall thickness control system of the seamless pipe FQM continuous rolling mill based on Python in the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention; the terms "first", "second", and "third" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance. In addition, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] like Figure 1-8 As shown, the present invention provides a seamless pipe FQM continuous rolling mill wall thickness control system based on Python, comprising: The input module is used to input the number of stands of the continuous rolling mill, the type of sample steel pipe and basic parameter data.

[0022] In this application, the basic parameters of the sample steel pipe include but are not limited to: rough tube wall thickness, rough tube wall thickness, mandrel diameter, groove bottom radius of each frame, opening degree of each frame, rough tube diameter, nominal roller diameter, roller working diameter and rod insertion gap of the sample steel pipe in each frame.

[0023] In the embodiments of the present application, a two-roller-6-stand FQM continuous rolling mill of a steel pipe plant is taken as an example.

[0024] The parameter module involved in the present invention calculates the wall thickness process parameters based on a preset mathematical model, wherein the wall thickness process parameters include: the ideal groove bottom wall thickness of the sample steel pipe in each rack, the hole type parameters of each rack and the roller speed of each rack.

[0025] In this application, the specific steps of the parameter module calculating the wall thickness process parameters based on the preset mathematical model are: S11. Calculate the ideal bottom wall thickness of the sample steel pipe in each rack. The specific steps are as follows: S111. Calculate the total wall reduction rate based on the rough pipe wall thickness and the rough pipe wall thickness. The calculation formula is as follows: , In the formula, represents the capillary wall thickness, Indicates the wall thickness of the rough pipe. Represents the total wall reduction rate.

[0026] In the embodiment of the present application, the wall thickness of the rough tube is set to 4.1 mm, and the wall thickness of the rough tube is set to 14.5 mm, so the total wall reduction rate is 71.724%.

[0027] S112. Calculate the groove bottom wall reduction rate of the sample steel pipe in each rack based on the preset groove bottom wall reduction rate distribution rule of each rack.

[0028] In the embodiment of the present application, the preset distribution rule of the wall reduction rate of each rack groove bottom is: the wall reduction rate of the sample steel pipe at the groove bottom of each rack is approximately equal to the wall reduction rate of the sample steel pipe at the groove bottom of the next rack. n% , as shown below: , In the formula, Indicates that the sample steel pipe is i The rack bottom wall reduction rate.

[0029] In the embodiment of the present application, n is set to 2. During calculation, the data will be slightly different due to inconsistent retention of decimal places in each calculation step. In addition, the value of n can be set at will during actual use.

[0030] S113. According to the rough tube wall thickness and the groove bottom wall reduction rate of the sample steel pipe in each rack, the ideal groove bottom wall thickness of the sample steel pipe in each rack is calculated. The calculation formula is as follows: , In the formula, Indicates that the sample steel pipe is i The ideal bottom wall thickness of the rack.

[0031] In the embodiment of the present application, the calculation formula for the ideal bottom wall thickness of the sample steel pipe in each rack is as follows: Ideal groove bottom wall thickness of sample steel pipe in the first rack: ; Ideal groove bottom wall thickness of sample steel pipe in the second rack: ; The ideal bottom wall thickness of the sample steel pipe in the 3rd rack: ; The ideal bottom wall thickness of the sample steel pipe in the 4th rack: ; The ideal groove bottom wall thickness of the sample steel pipe in the 5th rack: ; The ideal bottom wall thickness of the sample steel pipe in the 6th rack: .

[0032] In this application, the wall reduction of the sample steel pipe at the bottom of each rack is calculated as follows: , In the formula, Indicates that the sample steel pipe is i The amount of wall reduction at the bottom of the rack.

[0033] like Figure 2-4 As shown, in the embodiment of the present application, the groove bottom wall reduction rate, groove bottom wall reduction amount and ideal groove bottom wall thickness of the sample steel pipe in each rack are shown in the following table:

[0034] S12. Based on the ideal groove bottom wall thickness of the sample steel pipe in each rack, the hole parameters of each rack are calculated, wherein the hole parameters include hole height, hole ellipticity coefficient and hole width. The specific steps are as follows: S121. Based on the ideal bottom wall thickness of each rack, calculate the hole height of each rack. The calculation formula is as follows: , In the formula, Indicates i The hole height of the rack, m represents the core rod diameter, Indicates i The ideal bottom wall thickness of the rack is Indicates the diameter of the rough pipe.

[0035] S122. Based on the hole height of each rack, the hole ovality coefficient of each rack is calculated. The calculation formula is as follows: , In the formula, Indicates i The hole ovality coefficient of the rack, Indicates i The bottom radius of the rack.

[0036] It should be noted that the groove bottom radius of each rack is obtained through actual measurement. In the embodiment of the present application, the actual measured values ​​of the groove bottom radius of each rack are shown in the following table:

[0037] S123. Based on the hole ovality coefficient of each rack, the hole width of each rack is calculated. The calculation formula is as follows: , In the formula, Indicates i The hole width of the rack.

[0038] like Figure 5-6 As shown, in the embodiment of the present application, the diameter of the rough pipe is set to 135 mm, the diameter of the mandrel is set to 126.800 mm, and the hole height, hole ellipticity coefficient and hole width of each frame are shown in the following table:

[0039] It should be noted that since the number of decimal places retained in each calculation step is different during the calculation process, the actual calculated data may be slightly different.

[0040] S13, based on the outlet speed of the sample steel pipe at each stand and the average working diameter of the rollers of each stand, the roller speed of each stand is calculated, and the specific steps are: S131. Calculate the outlet speed of the sample steel pipe at each rack. The specific steps are: S1311. Based on the opening degree and hole type parameters of each rack, calculate the cross-sectional area of ​​the sample steel pipe at the bottom of each rack slot. The calculation formula is as follows: , In the formula, Indicates that the sample steel pipe is i Cross-sectional area at the bottom of the rack slot, Indicates i The opening of the rack.

[0041] It should be noted that the opening of each rack is obtained through actual measurement. In the embodiment of the present application, the opening of each rack and the cross-sectional area of ​​the sample steel pipe at the bottom of each rack slot are shown in the following table:

[0042] S1312. According to conventional experience, the outlet speed of the sample steel pipe at the last rack is set, and then the outlet speed of the sample steel pipe at each rack is calculated according to the principle of metal flow deformation invariance. The calculation formula is as follows: , In the formula, Respectively represent the sample steel pipe in the i , i +1 rack's exit speed, Respectively represent the sample steel pipe in the i , i +1 Cross-sectional area of ​​the rack at the bottom of the slot.

[0043] like Figure 7 As shown, S132, based on the working diameters of the rolls at a number of arbitrary points, the average working diameter of the rolls of each stand is calculated by integration, and the specific steps are as follows: S1321. Calculate the working diameter of the roller at a number of arbitrary points, wherein the calculation formula of the working diameter of the roller at any point is as follows: , In the formula, Indicates the working diameter of the roller at any point, represents the nominal diameter of the roll at any point, represents the radius of the groove bottom at any point, Indicates the corresponding bite angle.

[0044] It should be noted that the roller speed of each stand calculated using the principle of equal second flow is theoretically zero tension rolling. However, in on-site production, there is no situation where there is no tension between stands, but the adaptive adjustment of the metal between the front sliding area and the rear sliding area will ensure that the second volume flow between each stand is always equal. Therefore, the tension coefficient is not considered in this application, and the tension coefficient between each stand is set to 0.

[0045] S1322. Based on the working diameters of the rolls at a number of arbitrary points, the average working diameter of the rolls of each stand is calculated by integration. The calculation formula is as follows: , In the formula, Indicates i Average working diameter of the rolls of the stand, Indicates the nominal diameter of the roll, Indicates i The ovality coefficient of the frame, d is the integral symbol, Indicates i The bottom radius of the rack, Indicates i The opening degree of the rack, x represents the integration interval The integral variable of .

[0046] In the embodiment of the present application, the nominal diameter of the roller is set to 570 mm. According to step S132, the average working diameter of the rollers of each frame is shown in the following table:

[0047] S133. Based on the outlet speed of the sample steel pipe at each stand and the average working diameter of the rolls of each stand, the roll speed of each stand is calculated. The calculation formula is as follows: , In the formula, Indicates i Roller speed of the stand.

[0048] It should be noted that, in the embodiment of the present application, 6 racks are set, so the last rack, that is, the 6th rack, is the last rack. In the embodiment of the present application, the outlet speed of the sample steel pipe at the 6th rack is set to 4.3m / s. According to step S13, the outlet speed of the sample steel pipe at each rack and the roller speed of each rack are shown in the following table:

[0049] The PLC monitoring system of the present invention receives the roller speed of each rack and transmits it to the production system. At the same time, based on the ideal groove bottom wall thickness of the sample steel pipe in each rack, The reduction amount of each stand roller is calculated and transmitted to the production system, wherein the calculation formula of the reduction amount of each stand roller is as follows: , In the formula, Indicates i The amount of depression of the stand rolls; In addition, after receiving the data transmitted by the adjustment module, the wall thickness adjustment amount of the sample steel pipe in each stand is first used as the pressure adjustment amount of the rolls of each stand. ,Right now Then, the roller pressure adjustment amount of each stand and the roller speed adjustment amount of each stand are fed back to the production system, and the production system adjusts the roller speed and roller pressure amount of each stand.

[0050] The production system involved in the present invention controls the continuous rolling mill to perform actual production based on the hole parameter data of each frame transmitted by the parameter module and the data transmitted by the PLC monitoring system, and receives the wall thickness of the sample steel pipe at the tube stripping machine outlet detected by the wall thickness detection system located at the tube stripping machine in real time during the production process.

[0051] The simulation module involved in the present invention obtains the wall thickness of the sample steel pipe at the outlet of the pipe stripping machine and derives the actual groove bottom wall thickness of the sample steel pipe in each rack based on the data.

[0052] In this application, the specific steps of the simulation module to deduce the actual bottom wall thickness of the sample steel pipe in each rack based on the outlet wall thickness of the sample steel pipe of the tube stripping machine are as follows: S21. According to the principle of constant volume, the actual bottom wall thickness of the sample steel pipe at the last rack is deduced as follows: , , , , , In the formula, It indicates the actual volume of the sample steel pipe after it is rolled out by the last stand of the continuous rolling mill. It indicates the actual groove bottom wall thickness of the sample steel pipe after it is rolled out by the last stand of the continuous rolling mill. It indicates the actual outer diameter of the sample steel pipe after being rolled out by the last stand of the continuous rolling mill. It indicates the actual length of the sample steel pipe after it is rolled out by the last stand of the continuous rolling mill. Indicates the outlet volume of the sample steel pipe from the tube stripping machine, Indicates the wall thickness of the sample steel pipe at the outlet of the pipe stripping machine. Indicates the outer diameter of the sample steel pipe at the outlet of the tube stripping machine. Indicates the outlet length of the sample steel pipe from the pipe stripping machine.

[0053] It should be noted that All of them are obtained through actual measurement.

[0054] S22. According to the principle of equal second flow rate, the actual groove bottom wall thickness of the sample steel pipe in the previous rack is calculated based on the actual groove bottom wall thickness of the sample steel pipe in the current rack, so as to obtain the actual groove bottom wall thickness of the sample steel pipe in all racks. The calculation formula is as follows: , In the formula, They represent the sample steel pipes after continuous rolling mill i -1 、i The actual groove bottom wall thickness after the frame is rolled out. Respectively represent the sample steel pipe through the continuous rolling mill i -1 、i The actual outer diameter after the rack is rolled out. Respectively represent the sample steel pipe in the i -1 、i The outlet speed of the rack, m represents the core rod diameter, Indicates that the sample steel pipe is i Plunger clearance of the rack.

[0055] In the embodiment of the present application, the actual bottom wall thickness of the sample steel pipe in the 5th rack can be calculated based on the actual bottom wall thickness of the sample steel pipe in the last rack, i.e., the 6th rack; the actual bottom wall thickness of the sample steel pipe in the 4th rack can be calculated based on the actual bottom wall thickness of the sample steel pipe in the 5th rack, and so on, the actual bottom wall thickness of the sample steel pipe in all racks can be calculated.

[0056] The comparison module of the present invention obtains the ideal bottom wall thickness of the sample steel pipe in each rack based on the parameter module and the simulation module. and actual groove bottom wall thickness And compare, if the comparison result is , a product that meets the design requirements is obtained and the wall thickness process parameters of the product are transmitted to the database for storage, while continuing with the next round of production; otherwise, an operating instruction is issued to the adjustment module.

[0057] The database involved in the present invention is used to store the wall thickness process parameters of products that meet the design requirements, wherein the ideal groove bottom wall thickness of the sample steel pipe in each rack and the hole type parameters of each rack are the data initially calculated by the parameter module, and the rolling roller speed of each rack is the actual rolling roller speed for producing products that meet the design requirements.

[0058] It should be noted that the roller speed of each frame calculated in the parameter module is only a theoretical ideal speed. In the actual production process, it may be affected by temperature, material, etc., causing deviations in the theoretical speed, resulting in steel piling or pulling. Therefore, it is necessary to adjust the roller speed of each frame in real time to ensure that the final product meets the expected specifications.

[0059] Preferably, when comparing the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each frame in the comparison module, if the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in one part of the frame are the same, but the ideal groove bottom wall thickness and the actual groove bottom wall thickness in another part of the frame are different, the adjustment module only calculates the roller speed adjustment amount of the sample steel pipe in the other part of the frame.

[0060] For example, the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in the 1st, 3rd and 5th frames are the same, but the ideal groove bottom wall thickness and the actual groove bottom wall thickness in the 2nd, 4th and 6th frames are different. At this time, the adjustment module only calculates the roller speed adjustment amount of the sample steel pipe in the 2nd, 4th and 6th frames.

[0061] The adjustment module involved in the present invention, after receiving the operation instruction sent by the comparison module, obtains the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each frame based on the parameter module and the simulation module and calculates the wall thickness adjustment amount of the sample steel pipe in each frame, then calls the parameter module based on the wall thickness adjustment amount of the sample steel pipe in each frame to calculate the roller speed adjustment amount of each frame, and then transmits the wall thickness adjustment amount of the sample steel pipe in each frame and the roller speed adjustment amount of each frame to the PLC monitoring system.

[0062] In this application, the specific steps of the adjustment module calculating the roller speed adjustment amount of each frame are: S31. Based on the ideal groove bottom wall thickness and actual groove bottom wall thickness of the sample steel pipe in each rack, the wall thickness adjustment amount of the sample steel pipe in each rack is obtained. The calculation formula is as follows: , In the formula, Indicates the wall thickness adjustment of the sample steel pipe in the i-th rack, It indicates the actual bottom wall thickness of the sample steel pipe in the i-th rack. It represents the ideal bottom wall thickness of the sample steel pipe in the i-th rack.

[0063] In the embodiment of the present application, the calculation formula for the wall thickness adjustment amount of the sample steel pipe in each rack is as follows: , , , , , .

[0064] In the embodiment of the present application, the wall thickness of the sample steel pipe at the tube stripping machine outlet is detected to be 4 mm, and the outer diameter of the sample steel pipe at the tube stripping machine outlet is measured to be 127 mm, and the tube length at the tube stripping machine outlet is 1100 mm. The actual tube length of the sample steel pipe after being rolled out by the last stand of the continuous rolling mill is 1000 mm. After executing step S31, the ideal groove bottom wall thickness, actual groove bottom wall thickness and wall thickness adjustment amount of the sample steel pipe in each stand are as follows:

[0065] S32. Based on the wall thickness adjustment of the sample steel pipe in each stand, call steps S12-S14 in the parameter module to calculate the roller speed adjustment of each stand.

[0066] It should be noted that, for the convenience of calculation, the absolute value is used to calculate the wall thickness adjustment amount of the sample steel pipe in each frame in the embodiment of the present application. However, in the actual operation of the system, if the ideal groove bottom wall thickness of the sample steel pipe in a certain frame is greater than the actual groove bottom wall thickness, the roller speed of the frame is reduced and the roller height is increased; if the ideal groove bottom wall thickness of the sample steel pipe in a certain frame is less than the actual groove bottom wall thickness, the roller speed of the frame is increased and the roller height is lowered.

[0067] In this application, the Python-based seamless pipe FQM continuous rolling mill wall thickness control system uses Python as the main development language.

[0068] The present invention adopts Python as the main development language, which not only shortens the development cycle, but also provides rich interface elements and styles, making it easy for developers to easily create intuitive graphical interfaces and further meet the personalized needs of users.

[0069] like Figure 1 , 8 As shown, the present invention also provides a Python-based seamless pipe FQM continuous rolling mill wall thickness control method, which is applied to a Python-based seamless pipe FQM continuous rolling mill wall thickness control system, and the specific steps are: S41, the input module receives the user input data and transmits it to the parameter module; S42, the parameter module calculates the wall thickness process parameters based on the preset mathematical model and transmits them to the PLC monitoring system and the production system, wherein the wall thickness process parameters include: the ideal groove bottom wall thickness of the sample steel pipe in each rack, the hole type parameters of each rack and the roller speed of each rack; S43, the PLC monitoring system obtains the pressing amount of the rolls of each stand based on the data transmitted by the parameter module, and transmits the pressing amount of the rolls of each stand and the roll speed of each stand to the production system; S44, the production system performs actual production based on the hole parameters of each stand transmitted by the parameter module and the pressing amount of each stand roll and the roll speed of each stand transmitted by the PLC monitoring system, and receives the wall thickness of the sample steel pipe at the tube stripping machine outlet detected by the wall thickness detection system located at the tube stripping machine in real time during the production process and transmits it to the simulation module; S45, the simulation module deduces the actual groove bottom wall thickness of the sample steel pipe in each rack based on the outlet wall thickness of the sample steel pipe at the tube stripping machine, and transmits it to the comparison module; S46, the comparison module obtains the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each rack based on the parameter module and the simulation module and compares them. If the comparison result is , then the product that meets the design requirements is obtained and the wall thickness process parameters of the product are transmitted to the database for storage, and the next round of production is continued; otherwise, an operation instruction is issued to the adjustment module; S47, after receiving the operation instruction from the comparison module, the adjustment module obtains the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each rack based on the parameter module and the simulation module and calculates the wall thickness adjustment amount of the sample steel pipe in each rack, and then calls the parameter module based on the wall thickness adjustment amount of the sample steel pipe in each rack to calculate the roller speed adjustment amount of each rack, and then transmits the wall thickness adjustment amount of the sample steel pipe in each rack and the roller speed adjustment amount of each rack to the PLC monitoring system; S48, the PLC monitoring system uses the wall thickness adjustment of the sample steel pipe in each rack as the pressure adjustment of the rollers of each rack, and then feeds back the pressure adjustment of the rollers of each rack and the roller speed adjustment of each rack to the production system, which adjusts the roller speed and the pressure of the rollers of each rack, and continues to execute steps S44-S48 until the comparison result in step S46 is Stop when.

[0070] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. Python-based seamless pipe FQM continuous rolling mill wall thickness control system, characterized by: include: An input module is used to input the number of stands of the continuous rolling mill, the type of sample steel pipe and basic parameter data, wherein the basic parameters of the sample steel pipe include: rough pipe wall thickness, rough pipe wall thickness, mandrel diameter, groove bottom radius of each stand, opening degree of each stand, rough pipe diameter, nominal roll diameter, roll working diameter and rod insertion gap of the sample steel pipe in each stand; The parameter module calculates the wall thickness process parameters based on the preset mathematical model, wherein the wall thickness process parameters include: the ideal groove bottom wall thickness of the sample steel pipe in each rack, the hole parameters of each rack and the roller speed of each rack; The PLC monitoring system receives the roll speed of each stand and transmits it to the production system. At the same time, based on the ideal groove bottom wall thickness of the sample steel pipe in each stand, The pressing amount of the rolls of each stand is calculated and transmitted to the production system; in addition, after receiving the data transmitted by the adjustment module, the wall thickness adjustment amount of the sample steel pipe in each stand is first used as the pressing amount of the rolls of each stand, and then the pressing amount of the rolls of each stand and the roll speed adjustment amount of each stand are fed back to the production system, and the production system adjusts the roll speed and the pressing amount of the rolls of each stand; The production system controls the continuous rolling mill to perform actual production based on the hole parameter data of each stand transmitted by the parameter module and the data transmitted by the PLC monitoring system, and receives the wall thickness of the sample steel pipe at the tube stripping machine outlet detected by the wall thickness detection system located at the tube stripping machine in real time during the production process; The simulation module obtains the outlet wall thickness of the sample steel pipe at the tube stripping machine and derives the actual bottom wall thickness of the sample steel pipe at each rack based on the data; Comparison module, based on parameter module and simulation module to obtain the ideal bottom wall thickness of sample steel pipe in each rack and actual groove bottom wall thickness And compare, if the comparison result is , then the product that meets the design requirements is obtained and the wall thickness process parameters of the product are transmitted to the database for storage, and the next round of production is continued; otherwise, an operation instruction is issued to the adjustment module; The adjustment module, after receiving the operation instruction issued by the comparison module, obtains the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each frame based on the parameter module and the simulation module and calculates the wall thickness adjustment amount of the sample steel pipe in each frame, and then calls the parameter module based on the wall thickness adjustment amount of the sample steel pipe in each frame to calculate the roller speed adjustment amount of each frame, and then transmits the wall thickness adjustment amount of the sample steel pipe in each frame and the roller speed adjustment amount of each frame to the PLC monitoring system.

2. The Python-based seamless pipe FQM continuous rolling mill wall thickness control system according to claim 1 is characterized in that: The specific steps of the parameter module calculating the wall thickness process parameters based on the preset mathematical model are as follows: S11. Calculate the ideal bottom wall thickness of the sample steel pipe in each rack. The specific steps are as follows: S111. Calculate the total wall reduction rate based on the rough pipe wall thickness and the rough pipe wall thickness. The calculation formula is as follows: ， In the formula, represents the capillary wall thickness, Indicates the wall thickness of the rough pipe. It represents the total wall reduction rate; S112, calculating the groove bottom wall reduction rate of the sample steel pipe in each rack based on the preset groove bottom wall reduction rate distribution rule of each rack; S113. According to the rough tube wall thickness and the groove bottom wall reduction rate of the sample steel pipe in each rack, the ideal groove bottom wall thickness of the sample steel pipe in each rack is calculated. The calculation formula is as follows: ， In the formula, Indicates that the sample steel pipe is i The ideal bottom wall thickness of the rack; S12. Based on the ideal groove bottom wall thickness of the sample steel pipe in each rack, the hole parameters of each rack are calculated, wherein the hole parameters include hole height, hole ellipticity coefficient and hole width. The specific steps are as follows: S121. Based on the ideal bottom wall thickness of each rack, calculate the hole height of each rack. The calculation formula is as follows: ， In the formula, Indicates i The hole height of the rack, m represents the core rod diameter, Indicates i The ideal bottom wall thickness of the rack is Indicates the diameter of the rough pipe; S122. Based on the hole height of each rack, the hole ovality coefficient of each rack is calculated. The calculation formula is as follows: ， In the formula, Indicates i The hole ovality coefficient of the rack, Indicates i The bottom radius of the rack; S123. Based on the hole ovality coefficient of each rack, the hole width of each rack is calculated. The calculation formula is as follows: ， In the formula, Indicates i The hole width of the rack; S13, based on the outlet speed of the sample steel pipe at each stand and the average working diameter of the rollers of each stand, the roller speed of each stand is calculated, and the specific steps are: S131. Calculate the outlet speed of the sample steel pipe at each rack. The specific steps are: S1311. Based on the opening degree and hole type parameters of each rack, calculate the cross-sectional area of ​​the sample steel pipe at the bottom of each rack slot. The calculation formula is as follows: ， In the formula, Indicates that the sample steel pipe is i Cross-sectional area at the bottom of the rack slot, Indicates i The opening of the rack; S1312. According to conventional experience, the outlet speed of the sample steel pipe at the last rack is set, and then the outlet speed of the sample steel pipe at each rack is calculated according to the principle of metal flow deformation invariance. The calculation formula is as follows: ， In the formula, Respectively represent the sample steel pipe in the i , i +1 rack's exit speed, Respectively represent the sample steel pipe in the i , i +1 Cross-sectional area of ​​the rack at the bottom of the slot; S132, based on the working diameters of the rolls at a number of arbitrary points, the average working diameter of the rolls of each stand is calculated by integration, the specific steps are as follows: S1321. Calculate the working diameter of the roller at a number of arbitrary points, wherein the calculation formula of the working diameter of the roller at any point is as follows: ， In the formula, Indicates the working diameter of the roller at any point, represents the nominal diameter of the roll at any point, represents the radius of the groove bottom at any point, Indicates the corresponding bite angle; S1322. Based on the working diameters of the rolls at a number of arbitrary points, the average working diameter of the rolls of each stand is calculated by integration. The calculation formula is as follows: ， In the formula, Indicates i Average working diameter of the rolls of the stand, Indicates the nominal diameter of the roll, Indicates i The ovality coefficient of the frame, d is the integral symbol, Indicates i The bottom radius of the rack, Indicates i The opening degree of the rack, x represents the integration interval The integral variable of ; S133. Based on the outlet speed of the sample steel pipe at each stand and the average working diameter of the rolls of each stand, the roll speed of each stand is calculated. The calculation formula is as follows: ， In the formula, Indicates i Roller speed of the stand.

3. The Python-based seamless pipe FQM continuous rolling mill wall thickness control system according to claim 2 is characterized in that: The preset distribution rule of the wall reduction rate of the bottom of each rack is: the wall reduction rate of the bottom of each rack of the sample steel pipe is approximately equal to the wall reduction rate of the bottom of the next rack of the sample steel pipe. n% , as shown below: ， In the formula, Indicates that the sample steel pipe is i The rack bottom wall reduction rate; In addition, the wall reduction of the sample steel pipe at the bottom of each rack is calculated as follows: ， In the formula, Indicates that the sample steel pipe is i The amount of wall reduction at the bottom of the rack.

4. The Python-based seamless pipe FQM continuous rolling mill wall thickness control system according to claim 3 is characterized in that: The calculation formula for the pressing amount of each stand roller in the PLC monitoring system is as follows: ， In the formula, Indicates i The amount of depression of the stand roller.

5. The Python-based seamless pipe FQM continuous rolling mill wall thickness control system according to claim 4 is characterized in that: The specific steps of the simulation module to deduce the actual bottom wall thickness of the sample steel pipe in each rack based on the outlet wall thickness of the sample steel pipe are as follows: S21. According to the principle of constant volume, the actual bottom wall thickness of the sample steel pipe at the last rack is deduced as follows: ， ， ， ， ， In the formula, It indicates the actual volume of the sample steel pipe after it is rolled out by the last stand of the continuous rolling mill. It indicates the actual groove bottom wall thickness of the sample steel pipe after it is rolled out by the last stand of the continuous rolling mill. It indicates the actual outer diameter of the sample steel pipe after being rolled out by the last stand of the continuous rolling mill. It indicates the actual length of the sample steel pipe after it is rolled out by the last stand of the continuous rolling mill. Indicates the outlet volume of the sample steel pipe from the tube stripping machine, Indicates the wall thickness of the sample steel pipe at the outlet of the pipe stripping machine. Indicates the outer diameter of the sample steel pipe at the outlet of the tube stripping machine. Indicates the outlet length of the sample steel pipe from the tube stripping machine; S22. According to the principle of equal second flow rate, the actual groove bottom wall thickness of the sample steel pipe in the previous rack is calculated based on the actual groove bottom wall thickness of the sample steel pipe in the current rack, so as to obtain the actual groove bottom wall thickness of the sample steel pipe in all racks. The calculation formula is as follows: ， In the formula, They represent the sample steel pipes after continuous rolling mill i -1 、i The actual groove bottom wall thickness after the frame is rolled out. Respectively represent the sample steel pipe through the continuous rolling mill i -1 、i The actual outer diameter after the rack is rolled out. Respectively represent the sample steel pipe in the i -1 、i The outlet speed of the rack, m represents the core rod diameter, Indicates that the sample steel pipe is i Plunger clearance of the rack.

6. The Python-based seamless pipe FQM continuous rolling mill wall thickness control system according to claim 5, characterized in that: The system is also equipped with a database for storing the wall thickness process parameters of products that meet the design requirements. The ideal groove bottom wall thickness of the sample steel pipe in each rack and the hole type parameters of each rack are the data initially calculated by the parameter module, and the rolling roller speed of each rack is the actual rolling roller speed for producing products that meet the design requirements.

7. The Python-based seamless pipe FQM continuous rolling mill wall thickness control system according to claim 6 is characterized in that: When the comparison module compares the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each frame, if the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in one part of the frames are the same, but the ideal groove bottom wall thickness and the actual groove bottom wall thickness in another part of the frames are different, the adjustment module only calculates the roller speed adjustment amount of the sample steel pipe in the other part of the frames.

8. The Python-based seamless pipe FQM continuous rolling mill wall thickness control system according to claim 7, characterized in that: The specific steps of the adjustment module calculating the roller speed adjustment amount of each frame are as follows: S31. Based on the ideal groove bottom wall thickness and actual groove bottom wall thickness of the sample steel pipe in each rack, the wall thickness adjustment amount of the sample steel pipe in each rack is obtained. The calculation formula is as follows: , In the formula, Indicates the wall thickness adjustment of the sample steel pipe in the i-th rack, It indicates the actual bottom wall thickness of the sample steel pipe in the i-th rack. It represents the ideal bottom wall thickness of the sample steel pipe in the i-th rack; S32. Based on the wall thickness adjustment of the sample steel pipe in each stand, call steps S12-S14 in the parameter module to calculate the roller speed adjustment of each stand.

9. A Python-based seamless pipe FQM continuous rolling mill wall thickness control method, applied to a Python-based seamless pipe FQM continuous rolling mill wall thickness control system according to any one of claims 1 to 8, characterized in that: The specific steps are: S41, the input module receives the user input data and transmits it to the parameter module; S42, the parameter module calculates the wall thickness process parameters based on the preset mathematical model and transmits them to the PLC monitoring system and the production system, wherein the wall thickness process parameters include: the ideal groove bottom wall thickness of the sample steel pipe in each rack, the hole type parameters of each rack and the roller speed of each rack; S43, the PLC monitoring system obtains the pressing amount of the rolls of each stand based on the data transmitted by the parameter module, and transmits the pressing amount of the rolls of each stand and the roll speed of each stand to the production system; S44, the production system performs actual production based on the hole parameters of each stand transmitted by the parameter module and the pressing amount of each stand roll and the roll speed of each stand transmitted by the PLC monitoring system, and receives the wall thickness of the sample steel pipe at the tube stripping machine outlet detected by the wall thickness detection system located at the tube stripping machine in real time during the production process and transmits it to the simulation module; S45, the simulation module deduces the actual groove bottom wall thickness of the sample steel pipe in each rack based on the outlet wall thickness of the sample steel pipe at the tube stripping machine, and transmits it to the comparison module; S46, the comparison module obtains the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each rack based on the parameter module and the simulation module and compares them. If the comparison result is , then the product that meets the design requirements is obtained and the wall thickness process parameters of the product are transmitted to the database for storage, and the next round of production is continued; otherwise, an operation instruction is issued to the adjustment module; S47, after receiving the operation instruction sent by the comparison module, the adjustment module obtains the ideal groove bottom wall thickness and the actual groove bottom wall thickness of the sample steel pipe in each rack based on the parameter module and the simulation module and calculates the wall thickness adjustment amount of the sample steel pipe in each rack, and then calls the parameter module based on the wall thickness adjustment amount of the sample steel pipe in each rack to calculate the roller speed adjustment amount of each rack, and then transmits the wall thickness adjustment amount of the sample steel pipe in each rack and the roller speed adjustment amount of each rack to the PLC monitoring system; S48, the PLC monitoring system uses the wall thickness adjustment of the sample steel pipe in each rack as the pressure adjustment of the rollers of each rack, and then feeds back the pressure adjustment of the rollers of each rack and the roller speed adjustment of each rack to the production system, which adjusts the roller speed and the pressure of the rollers of each rack, and continues to execute steps S44-S48 until the comparison result in step S46 is Stop when.

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