Seamless steel tube outer diameter process parameter optimization setting method

Abstract

The invention discloses a seamless steel tube outer diameter process parameter optimization setting method, and belongs to the technical field of seamless steel tube rolling, and the method comprises the steps: building a seamless steel tube outer diameter prediction model based on seamless steel tube production process parameters; process parameters needing to be optimized are determined, and the allowable adjustment range of all the process parameters needing to be optimized is determined; determining process parameter adjustment strategies under different outer diameter deviation degrees; and on the basis of the seamless steel pipe outer diameter prediction model, the allowable adjustment range of each process parameter needing to be optimized and the process parameter adjustment strategies under different outer diameter deviation degrees, in combination with actual production process requirements, by taking the minimum outer diameter deviation of the seamless steel pipe as a target, constructing a process parameter optimization setting model, and realizing optimization setting of the process parameters. By adopting the seamless steel pipe outer diameter process parameter optimization setting method, the seamless steel pipe outer diameter control precision can be improved, and the process parameter optimization setting is more accurate.

Description

Technical Field

[0001] The invention relates to the technical field of seamless steel pipe rolling, and in particular to a method for optimizing and setting process parameters of outer diameter of seamless steel pipes. Background Art

[0002] Seamless steel pipes are widely used in the fields of petroleum, natural gas, and chemical industry, so there are strict requirements on the accuracy of their outer diameter dimensions. In the hot rolling production process, the process parameters of perforation, tube rolling, and diameter reduction have a decisive influence on the outer diameter size. For thick-walled seamless steel pipes, their production usually presents the characteristics of "multiple specifications and small batches", which leads to frequent modifications of process parameters. At present, the control of outer diameter accuracy in actual production still mainly relies on the experience of operators, and the production process parameters of each process section are manually modified according to the actual measurement results of the previous steel pipe. This highly experience-dependent control method will produce greater uncertainty and lag in parameter setting, resulting in a large overall deviation in the outer diameter size of some batches of steel pipes. Summary of the invention

[0003] The present invention provides a method for optimizing and setting process parameters of the outer diameter of a seamless steel pipe, so as to solve the technical problem that the current method for optimizing process parameters of the outer diameter of a seamless steel pipe will produce large uncertainty and hysteresis in parameter setting, thereby causing the outer diameter dimensions of some batches of steel pipes to have large overall deviations.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0005] In one aspect, the present invention provides a method for optimizing and setting process parameters of outer diameter of a seamless steel pipe, comprising:

[0006] Establish a seamless steel pipe outer diameter prediction model based on seamless steel pipe production process parameters;

[0007] Determine the process parameters that need to be optimized, and determine the allowable adjustment range of each process parameter that needs to be optimized;

[0008] Determine the process parameter adjustment strategy under different degrees of outer diameter deviation;

[0009] Based on the seamless steel pipe outer diameter prediction model, the allowable adjustment range of each process parameter that needs to be optimized, and the process parameter adjustment strategy under different outer diameter deviation degrees, combined with the actual production process requirements, with the minimum outer diameter deviation of seamless steel pipe as the goal, a process parameter optimization setting model is constructed to achieve the optimal setting of process parameters.

[0010] Furthermore, the process parameters that need to be optimized are determined, and the allowable adjustment range of each process parameter that needs to be optimized is determined, including:

[0011] Determine the process parameters that can be modified immediately during the perforation, tube rolling and diameter reduction of seamless steel tubes as candidate process parameters;

[0012] Conduct correlation analysis on candidate process parameters, and select multiple parameters that have the greatest impact on the outer diameter of seamless steel pipes as process parameters that need to be optimized;

[0013] Determine the allowable adjustment range of each process parameter that needs to be optimized.

[0014] Furthermore, the process parameters that need to be optimized include: the piercing machine top extension, the piercing machine guide plate distance, the piercing machine roll gap, the tube mill throat diameter and the roll speed of each frame of the reducing mill unit.

[0015] Furthermore, the process parameter adjustment strategies under different outer diameter deviation degrees are determined, including:

[0016] Determine the outer diameter deviation range of seamless steel pipe that can be adjusted by modifying process parameters [Δd min , Δd max ];

[0017] If the outer diameter deviation of seamless steel pipe is [Δd min , Δd 0 ] or [Δd 3 , Δd max ], the puncher top extension, puncher guide plate distance, puncher roll gap, tube mill throat diameter and roll speed of each frame of the reducing unit are optimized at the same time; if the outer diameter deviation of the seamless steel pipe is within [Δd 0 , Δd 1 ] or [Δd 2 , Δd 3 ], the distance between the guide plates of the piercing machine, the throat diameter of the tube mill, and the roll speed of each stand of the reducing mill are optimized at the same time; if the outer diameter deviation of the seamless steel pipe is within [Δd 1 , Δd 2 ], no adjustment is made; where Δd min Δd is the minimum value of the outer diameter of the seamless steel pipe that can be adjusted by modifying the process parameters; max Δd is the maximum value of the outer diameter of the seamless steel pipe that can be adjusted by modifying the process parameters; 0 , Δd 1 , Δd 2 , Δd 3 are different preset values, and Δd min <Δd 0 <Δd 1 <0<Δd 2 <Δd 3 <Δd max .

[0018] Furthermore, based on the seamless steel pipe outer diameter prediction model, the allowable adjustment range of each process parameter to be optimized, and the process parameter adjustment strategy under different outer diameter deviation degrees, combined with the actual production process requirements, with the goal of minimizing the outer diameter deviation of seamless steel pipes, a process parameter optimization setting model is constructed to achieve the optimal setting of process parameters, including:

[0019] Step 1: Based on the seamless steel pipe outer diameter prediction model, the outer diameter prediction value of the seamless steel pipe in the current production process is obtained, and combined with the actual production process requirements, the current seamless steel pipe outer diameter deviation value x is calculated. 0 ;

[0020] Step 2: If x 0 Less than Δd min or greater than Δd max , it is determined that the outer diameter cannot be adjusted by modifying the process parameters alone. At this time, an alarm is issued, suggesting that it is recommended to replace the tooling; if x 0 In [Δd min , Δd 0 ] or [Δd 3 , Δd max ], go to step 3; if x 0 In [Δd 0 , Δd 1 ] or [Δd 2 , Δd 3 ] range, go to step 5; if x 0 In [Δd 1 , Δd 2 ], it is determined that the optimization goal has been achieved and the current process parameters are used for production;

[0021] Step 3, obtain the adjustment amount of the puncher top extension, the puncher guide plate distance, the puncher roll gap, the tube mill throat diameter and the roll speed of each frame of the reducing unit, and obtain multiple different combinations of the adjustment amount of each parameter, input each combination into the seamless steel pipe outer diameter prediction model, obtain the seamless steel pipe outer diameter prediction value under the corresponding combination, and calculate the seamless steel pipe outer diameter deviation value under the corresponding combination; if the seamless steel pipe outer diameter deviation value corresponding to a certain combination is within [Δd 1 , Δd 2 ], then this combination is saved, and after denormalization, the optimal process parameters are obtained and sent to the production system; if the outer diameter deviation values ​​of seamless steel pipes corresponding to all combinations are within [Δd 0 , Δd 1 ] or [Δd 2 , Δd 3 ], then go to step 5; if the outer diameter deviation values ​​of seamless steel pipes corresponding to all combinations are within [Δd min , Δd 0 ] or [Δd3 , Δd max ] range, go to step 4;

[0022] Step 4, using the combination corresponding to the two minimum outer diameter deviation values ​​obtained in step 3 or the interval composed of the positive deviation and negative deviation combination with the smallest deviation value as the optimization range of the puncher roll gap, the puncher guide plate distance, the puncher top extension and the tube mill throat diameter, and using the roll speed adjustment amount of each stand of the reducing unit calculated in step 3 as the initial value, optimizing the roll gap of the puncher roll, the puncher guide plate distance, the puncher top extension, the tube mill throat diameter and the roll speed of each stand of the reducing unit;

[0023] Step 5, obtain the adjustment amount of the piercing machine guide plate distance, the tube mill throat diameter and the roller speed of each stand of the reducing unit, obtain multiple different combinations of the adjustment amount of each parameter, input each combination into the seamless steel pipe outer diameter prediction model, obtain the seamless steel pipe outer diameter prediction value under the corresponding combination, and calculate the seamless steel pipe outer diameter deviation value under the corresponding combination; if there is a seamless steel pipe outer diameter deviation value corresponding to a certain combination in [Δd 1 , Δd 2 ], then this combination is saved, and after denormalization, the optimal process parameters are obtained and sent to the production system; if the outer diameter deviation values ​​corresponding to all combinations are within [Δd 0 , Δd 1 ] or [Δd 2 , Δd 3 ] range, go to step 6;

[0024] Step 6, using the combination corresponding to the two minimum outer diameter deviation values ​​obtained in step 5 or the interval consisting of the positive deviation and negative deviation combination with the smallest deviation value as the optimization range of the piercing machine guide plate distance and the tube rolling mill throat diameter, and using the adjustment amount of the roller speed of each frame of the reducing unit calculated in step 5 as the initial value, optimize the piercing machine guide plate distance, the tube rolling mill throat diameter and the roller speed of each frame of the reducing unit.

[0025] Furthermore, the adjustment amount of each parameter is obtained by: dividing the allowable adjustment range of each process parameter into segments on average; and determining the adjustment amount of each process parameter according to the segmentation result;

[0026] The setting of the adjustment amount of the punch guide plate distance must satisfy the following formula:

[0027]

[0028] Where, b is the roll gap; l is the distance between the piercing machine guide plates; d z is the diameter of the tube; d 0 is the capillary diameter;

[0029] The roller speed of each stand of the reducing mill is calculated by the following formula:

[0030]

[0031] Where, d i is the outer diameter of the steel pipe after passing through the i-th rack; d i0 is the hole diameter of the i-th rack; i is the rack number; x is the current outer diameter deviation; a is the number of racks currently used; N i is the speed of the i-th rack; N i+1 is the speed of the i+1th rack; d i+1 is the outer diameter of the steel pipe after passing through the i+1th rack; s is the wall thickness of the rough pipe.

[0032] Furthermore, the optimization function of the roll gap of the piercing machine, the distance between the piercing machine guide plates, the top extension of the piercing machine, the throat diameter of the tube mill and the roll speed of each stand of the reducing mill is expressed as follows:

[0033]

[0034] Where D p is the outer diameter deviation; b is the roll gap; l is the distance between the piercing machine guide plates; y is the forward extension of the piercing machine head; e is the throat diameter of the tube mill; A is the optimal range of the roll gap of the piercing machine, the distance between the piercing machine guide plates, the forward extension of the piercing machine head and the throat diameter of the tube mill; a is the number of stands currently used; Δn i is the speed difference between the i-th rack and the previous rack; Δn i+1 is the speed difference between the i+1th rack and the previous rack; n i is the speed of the i-th rack; n i+1 is the speed of the i+1th rack; i is the rack number;

[0035] The particle swarm algorithm (PSO) is used to solve the optimal solution of the optimization function of the roll gap of the piercing machine, the distance between the piercing machine guide plates, the top extension of the piercing machine, the throat diameter of the tube mill and the roll speed of each stand of the reducing mill. p In [Δd 1 , Δd 2 ], stop the optimization, save the combination of process parameters corresponding to the optimal solution, and after denormalization, obtain the optimal process parameters and send them to the production system.

[0036] Furthermore, the optimization function of the guide plate distance of the piercing machine, the throat diameter of the tube rolling mill and the roller speed of each stand of the reducing mill is expressed as:

[0037]

[0038] Where D p is the outer diameter deviation; b is the roll gap; e is the throat diameter of the tube mill; B is the optimal range of the piercing machine guide plate distance and the tube mill throat diameter; a is the number of stands currently used; Δn iis the speed difference between the i-th rack and the previous rack; Δn i+1 is the speed difference between the i+1th rack and the previous rack; n i is the speed of the i-th rack; n i+1 is the speed of the i+1th rack; i is the rack number;

[0039] PSO is used to solve the optimal solution of the optimization function of the piercing machine guide plate distance, the pipe mill throat diameter and the roller speed of each stand of the reducing mill. p In [Δd 1 , Δd 2 ] range, stop the optimization, save the combination of process parameters corresponding to the optimal solution, and after denormalization, obtain the optimal process parameters and send them to the production system.

[0040] On the other hand, the present invention further provides an electronic device, comprising a processor and a memory; wherein the memory stores at least one instruction, and the instruction is loaded and executed by the processor to implement the above method.

[0041] In yet another aspect, the present invention further provides a computer-readable storage medium, wherein at least one instruction is stored in the storage medium, and the instruction is loaded and executed by a processor to implement the above method.

[0042] The beneficial effects brought about by the technical solution provided by the present invention include at least:

[0043] 1. The technical solution of the present invention predicts the outer diameter of the finished pipe according to the process parameters of the three deformation processes of piercing, pipe rolling and diameter reduction, providing support for the coordinated optimization of the process parameters of the three deformation processes.

[0044] 2. The technical solution of the present invention divides the process parameter combinations according to different outer diameter deviation degrees, which is conducive to improving the optimization speed and accuracy of the particle swarm algorithm.

[0045] 3. The technical solution of the present invention is based on the outer diameter prediction model, and establishes an optimization setting model for the hot rolling process parameters of seamless steel pipes with the goal of minimizing the deviation between the predicted outer diameter and the target outer diameter, which is conducive to realizing the automatic optimization and pre-setting of process parameters and improving the stability of parameter control. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments 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 creative work.

[0047] Figure 1It is a flow chart of a method for optimizing and setting process parameters of outer diameter of seamless steel pipe provided in an embodiment of the present invention;

[0048] Figure 2 is a flow chart of a process parameter optimization algorithm provided by an embodiment of the present invention;

[0049] Figure 3 It is a system block diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0051] First of all, it should be noted that in the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "exemplarily" is intended to present the concept in a concrete way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0052] First embodiment

[0053] This embodiment provides a method for optimizing and setting the process parameters of the outer diameter of a seamless steel pipe, which can be implemented by an electronic device. Figure 1 As shown, the following steps are included:

[0054] S1, establishing a seamless steel pipe outer diameter prediction model based on seamless steel pipe production process parameters;

[0055] Specifically, in this embodiment, the implementation process of the above S1 is: according to the production process parameters of the seamless steel pipe's perforation, pipe rolling, and diameter reduction deformation process, a seamless steel pipe outer diameter prediction model is established, and the construction process is as follows:

[0056] S11, collect the production process parameters and production quality data of the piercing, tube rolling and diameter reduction deformation process in the hot rolling production process; wherein the process parameters include the furnace temperature, roll gap, plug diameter, plug length, top extension, feed angle, rolling angle, guide plate distance, roll speed, roll bite speed in the piercing stage; the throat diameter, mandrel diameter, mandrel speed, feed angle, rolling angle, roll speed in the tube rolling stage; the hole type of the last stand, the number of stands, the roll speed of each stand, and the incoming steel type and specification data in the diameter reduction stage. The production quality data is the outer diameter of the finished pipe corresponding to the production process parameters.

[0057] S12, performing outlier detection and normalization processing on the training sample data to generate training samples for the seamless steel pipe outer diameter prediction model;

[0058] S13, using support vector regression (SVR) algorithm to build a seamless steel pipe outer diameter prediction model. S2, determining the process parameters that need to be optimized, and determining the allowable adjustment range of each process parameter that needs to be optimized;

[0059] Specifically, in this embodiment, the implementation process of the above S2 is:

[0060] S21, according to the steel pipe rolling mechanism, determine the process parameters that can be modified immediately during the perforation, pipe rolling and diameter reduction deformation of the seamless steel pipe as candidate process parameters;

[0061] S22, performing correlation analysis on the candidate process parameters, selecting the process parameters that have a greater impact on the outer diameter of the seamless steel pipe as the optimization setting object, specifically including: puncher top extension, puncher guide plate distance, puncher roll gap, pipe mill throat diameter, and roll speed of each frame of the reducing mill;

[0062] S23, determining the range of the selected process parameters that can be optimized, as shown in Table 1.

[0063] Table 1 Parameters allowable adjustment range

[0064]

[0065] S3, determining the process parameter adjustment strategy under different outer diameter deviation degrees;

[0066] Specifically, in this embodiment, the implementation process of the above S3 is:

[0067] S31, determining the outer diameter deviation range [-4.5 mm, 4.5 mm] that can be adjusted by modifying the process parameters through industrial experiments;

[0068] S32, determine the process parameters to be adjusted for different degrees of outer diameter deviation and their adjustment methods, specifically including: when the outer diameter deviation is within the range of [2.5mm, 4.5mm] or [-4.5mm, -2.5mm], it is necessary to simultaneously optimize the puncher top extension, the puncher guide plate distance, the puncher roll gap, the tube mill throat diameter, and the roll speed of each frame of the reducing unit; when the outer diameter deviation is within the range of [0.5mm, 2.5mm] or [-2.5mm, -0.5mm], it is necessary to simultaneously optimize the puncher guide plate distance, the tube mill throat diameter, and the roll speed of each frame of the reducing unit; when the outer diameter deviation is within the range of [-0.5mm, 0.5mm], no adjustment is required. The process parameter adjustment method is shown in Table 2.

[0069] Table 2 Process parameter adjustment method

[0070]

[0071] Among them, “↓” means decrease; “↑” means increase.

[0072] S4, based on the seamless steel pipe outer diameter prediction model, the allowable adjustment range of each process parameter to be optimized, and the process parameter adjustment strategy under different outer diameter deviation degrees, combined with the actual production process requirements, with the goal of minimizing the outer diameter deviation of seamless steel pipes, a process parameter optimization setting model is constructed to achieve the optimal setting of process parameters;

[0073] Specifically, in this embodiment, the implementation process of the above S4 is:

[0074] S41, according to the process parameter optimization range and process parameter adjustment strategy, formulate the initial adjustment amount combination of each process parameter, specifically including: according to the process parameter adjustment strategy of different outer diameter deviation degrees, the adjustment allowable range of each process parameter is evenly segmented to obtain the adjustment amount combination of each puncher and tube rolling mill process parameter under different outer diameter deviation degrees; specifically: for the puncher top extension, the puncher guide plate distance, the puncher roll gap and the tube rolling mill throat diameter, at least one data is selected as the adjustment amount in each segment of its adjustment allowable range according to its adjustment strategy; and the setting of the preset parameter adjustment amount of the puncher guide plate distance must satisfy the following formula:

[0075]

[0076] Where: b is the roller gap, mm; l is the guide plate spacing, mm; d z is the diameter of the tube, mm; d 0 is the capillary diameter, mm.

[0077] According to industrial experiments, the adjustment range of the punching machine guide plate distance is obtained as follows:

[0078] 1.06b≤l≤1.16b

[0079] In this embodiment, when the outer diameter deviation is within the range of [2.5mm, 4.5mm], the preset adjustment amount combinations of the process parameters of the puncher and the tube rolling mill are: [puncher roll gap, puncher top extension, tube rolling mill throat diameter]: [-2mm, 18mm, -6mm], [-1.5mm, 13.5mm, -4.5mm], [-1mm, 9mm, -3mm], [-0.5mm, 4.5mm, -1.5mm], puncher The machine guide plate distance is set to 1.1 times the roll gap of the piercing machine; when the outer diameter deviation is within the range of [0.5mm, 2.5mm], the preset adjustment amount combination of the piercing machine and the tube rolling mill process parameters is [piercing machine guide plate distance, tube rolling mill throat diameter]: [1.06b, -2.5mm], [1.07b, -2mm], [1.08b, -1.5mm], [1.09b, -1mm], [1.1b, -0.5mm], [1.11b ,0mm]; when the outer diameter deviation is within the range of [-4.5mm, -2.5mm], the preset adjustment amount combination of the punching machine and the tube rolling mill process parameters is: [punching machine roll gap, punching machine top extension, tube rolling mill throat diameter]: [2mm, -18mm, 6mm], [1.5mm, -13.5mm, 4.5mm], [1mm, -9mm, 3mm], [0.5mm, -4.5mm, 1.5mm], punching machine guide plate The distance is set to 1.1 times the roll gap of the piercing machine; when the outer diameter deviation is within the range of [-2.5mm, -0.5mm], the preset adjustment amount combination of the piercing machine and tube rolling mill process parameters is [piercing machine guide plate distance, tube rolling mill throat diameter]: [1.16b, 2.5mm], [1.15b, 2mm], [1.14b, 1.5mm], [1.13b, 1mm], [1.12b, 0.5mm], [1.11b, 0mm].

[0080] The speed of each frame of the reducing unit is calculated by the following formula:

[0081]

[0082] Where: d i is the outer diameter of the steel pipe after passing through the i-th rack, in mm; d i0 is the hole diameter of the i-th rack, in mm; x is the outer diameter deviation, in mm; a is the number of racks currently used; N i is the rotation speed of the ith rack, in r / min; s is the wall thickness of the rough pipe, in mm.

[0083] S42, according to the outer diameter prediction value output by the seamless steel pipe outer diameter prediction model and the production process requirements, the outer diameter deviation value x is obtained. 0 ;

[0084] S43, if x 0If it is less than -4.5mm or greater than 4.5mm, it is judged that the outer diameter cannot be adjusted by modifying the process parameters alone, and an alarm is issued to "recommend tooling replacement"; if x 0 In the range of [-4.5mm, -2.5mm] or [2.5mm, 4.5mm], enter S44; if x 0 In the range of [-2.5mm, -0.5mm] or [0.5mm, 2.5mm], enter S46; if x 0 If it is within the range of [-0.5mm, 0.5mm], it means that the optimization goal has been achieved and the current set process parameters can be used for production;

[0085] S44, the process parameters that need to be adjusted include the gap between the piercing machine rolls, the distance between the piercing machine guide plates, the amount of the piercing machine top extension, the throat diameter of the tube rolling mill, and the roller speed of each frame of the reducing unit. At this time, four process parameter combinations are obtained according to the preset adjustment amount combination of the gap between the piercing machine rolls, the distance between the piercing machine guide plates, the amount of the piercing machine top extension, and the throat diameter of the tube rolling mill and the speed calculation method of each frame of the reducing unit, and the prediction model is input to calculate the outer diameter deviation under all combinations. If the outer diameter deviation of a candidate combination is within the range of [-0.5mm, 0.5mm], this parameter combination is saved and issued after denormalization; if the outer diameter deviation is within the range of [-2.5mm, -0.5mm] or [0.5mm, 2.5mm], enter S46; if all outer diameter deviations are within the range of [-4.5mm, -2.5mm] or [2.5mm, 4.5mm], enter S45;

[0086] S45, obtaining the optimization range of the puncher roll gap, puncher guide plate distance, puncher top extension and tube mill throat diameter by using the two sets of punching and tube rolling process parameter combinations with the smallest outer diameter deviation obtained in S44 or the positive deviation and negative deviation combination with the smallest deviation value, and further optimizing the puncher roll gap, puncher guide plate distance, puncher top extension, tube mill throat diameter and tube mill roll speed of each stand of the reducing unit by using the combination of roll speeds of each stand of the reducing unit calculated in S44 as the initial value;

[0087] Among them, the optimization range of the puncher roll gap, puncher guide plate distance, puncher top extension and tube mill throat diameter is obtained by combining the two sets of punching and tube rolling process parameter combinations with the smallest outer diameter deviation obtained in the above step or the positive deviation and negative deviation combinations with the smallest deviation value. It should be noted that although the process parameters of punching and tube rolling have a clear change rule on the process outlet outer diameter, the outer diameter of the finished tube is affected by the joint action of multiple processes, and the process parameters of each process may restrict each other, resulting in the change rule of the outer diameter of the finished tube is no longer clear. Therefore, when the outer diameter deviations of all candidate combinations are concentrated in the range of [-4.5mm, -2.5mm] or [2.5mm, 4.5mm], it means that the best process parameter combination may be missed in the pre-selection stage. In this regard, if the outer diameter deviations have the same sign, the two sets of process parameter combinations with the smallest deviations are selected; if the outer diameter deviations have opposite signs, the positive deviation and negative deviation combinations with the smallest deviation values ​​are selected respectively. Finally, the particle swarm optimization (PSO) algorithm is used to perform a fine search for the best process parameter combination that may exist between the two sets of minimum deviations. Among them, the core purpose of searching between two sets of minimum deviations is to capture the potential optimal process parameter combination. When the distribution of outer diameter deviations is concentrated in two deviation ranges (such as [-4.5mm, -2.5mm] or [2.5mm, 4.5mm]), there may be an optimal solution that is not covered by the initial candidate combination. At this time, the two sets of parameter combinations with minimum deviations usually represent the area closest to the optimal solution. If the deviation signs are the same, searching between the two sets of minimum deviations can narrow the range and quickly locate the potential optimal solution; if the signs are opposite, the two sets of combinations with the smallest positive and negative deviations are selected to cover the transition points in the process parameter adjustment direction, thereby more comprehensively excavating the hidden optimal process parameters. For example, if the outer diameter deviation obtained by the two groups of adjustment values ​​[-1.5mm, 13.5mm, -4.5mm] and [-1mm, 9mm, -3mm] is the smallest among all the combinations of piercing and tube rolling process parameters, it means that the optimal solution with the smallest outer diameter deviation is between the two groups of process parameter combinations. Then the optimization ranges of the piercing machine roll gap, piercing machine top extension and tube rolling machine throat diameter are [-1.5mm, -1mm], [9mm, 13.5mm] and [-4.5mm, -3mm] respectively, and the piercing machine guide plate distance is 1.1 times the piercing machine roll gap.

[0088] The combination of the roll speeds of each stand of the reducing mill calculated in the above step is used as the initial value to further optimize the roll gap of the piercing mill, the distance between the piercing mill guide plates, the top extension of the piercing mill, the throat diameter of the tube mill and the roll speeds of each stand of the reducing mill. The process parameter optimization function is specifically expressed as follows:

[0089]

[0090] Where: D pis the outer diameter deviation, in mm; b is the gap between the piercing machine rolls, in mm; l is the distance between the piercing machine guide plates, in mm; y is the forward extension of the piercing machine head, in mm; e is the throat diameter of the tube mill, in mm; A is the optimization range of the gap between the piercing machine rolls, the distance between the guide plates, the forward extension of the piercing machine head and the throat diameter of the tube mill; Δn i is the speed difference between the i-th rack and the previous rack, in r / min; n i is the rotation speed of the i-th rack, in r / min.

[0091] The PSO algorithm is used to find the optimal solution of the above equation, and the perforation and tube rolling process parameters are initialized by randomly selecting values ​​within the range A, and the reduction mill roll speed combination calculated in S44 is used as the initial value. p When it is within the range of [-0.5mm, 0.5mm], the PSO optimization process is stopped.

[0092] S46, the parameters that need to be adjusted include the piercing machine guide plate distance, the tube mill throat diameter and the roller speed of each frame of the reducing unit. According to the preset adjustment amount combination of the piercing machine guide plate distance and the tube mill throat diameter and the calculation method of the roller speed of each frame of the reducing unit, six process parameter combinations that need to be adjusted are obtained, and the prediction model is input to calculate the outer diameter deviation under all combinations. If the outer diameter deviation of a candidate combination is within the range of [-0.5mm, 0.5mm], this parameter combination is saved and issued after denormalization; if all outer diameter deviations are within the range of [-2.5mm, -0.5mm] or [0.5mm, 2.5mm], enter S47;

[0093] S47, using the two sets of perforation and tube rolling process parameter combinations with the smallest outer diameter deviation obtained in S46 or the positive deviation and negative deviation combination with the smallest deviation value to form an interval to obtain the optimization range of the perforator guide plate distance and the tube rolling mill throat diameter. If the outer diameter deviation obtained by the two sets of adjustment values ​​[1.14b, 1.5mm] and [1.13b, 1mm] is the smallest among all perforation and tube rolling process parameter combinations, then the optimization ranges of the perforator guide plate distance and the tube rolling mill throat diameter are [1.13b, 1.14b] and [1mm, 1.5mm] respectively, and b is the perforator roll gap. And using the combination of the roll speeds of each stand of the reducing unit calculated by S46 as the initial value, further optimize the perforator guide plate distance, the tube rolling mill throat diameter and the roll speeds of each stand of the reducing unit, and the process parameter optimization function is:

[0094]

[0095] Where: B is the optimized range of the piercing machine guide plate distance and the tube rolling mill throat diameter.

[0096] The PSO algorithm is used to find the optimal solution of the above equation, and the initialization of the perforation and tube rolling process parameters is completed by randomly selecting values ​​within the range B, and the reduction mill roll speed combination calculated in S46 is used as the initial value. P When it is within the range of [-0.5mm, 0.5mm], the PSO optimization process is stopped, the parameter combination is saved, and it is issued after denormalization.

[0097] The parameter optimization process is as follows Figure 2 As shown. According to the above optimization setting steps, the relevant parameters of the PSO algorithm are set as follows: the particle swarm size is set to 24, the learning factors c1 and c2 are set to 1.8, the inertia weight w is set to 0.9, and the maximum number of iterations allowed is 60. A set of data with large outer diameter deviations during the production process is collected for optimization, and the optimization results are shown in Table 3. It can be seen from Table 3 that the outer diameter deviation is significantly reduced after optimization, and all its process parameters have changed and are in line with the rolling process mechanism of the steel pipe, which proves the effectiveness of the parameter optimization setting model of the present invention in optimizing the process parameters of the hot rolling production line.

[0098] Table 3 Process parameter optimization results

[0099]

[0100] In summary, this embodiment provides a method for optimizing and setting process parameters for the outer diameter of seamless steel pipes. The method uses predictive control technology to optimize parameters, which solves the problem that the traditional seamless steel pipe rolling process theory is difficult to fully consider the complex and changeable environment of the actual rolling process and a large number of real-time changing variables. At the same time, multiple process parameters that have a large impact on the outer diameter of the three deformation processes and can be modified in real time are selected for adjustment. Compared with the traditional predictive control technology for optimizing the process parameters of a single process, the control of the outer diameter dimensional accuracy of the seamless steel pipe under the joint action of multiple processes is achieved, and the uncertainty and hysteresis caused by the process parameter setting relying on production experience and manual modification are solved, thereby improving the outer diameter control accuracy. At the same time, the objective function is established by using industrial big data, which fully considers the complex and changeable situations in the production process, making the optimization setting of process parameters more accurate.

[0101] Second embodiment

[0102] This embodiment provides an electronic device, such as Figure 3As shown, the electronic device includes: a processor and a memory; wherein the processor and the memory can be connected via a communication bus; the memory stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method of the first embodiment. In addition, the electronic device may also include a transceiver, the processor and the transceiver can be connected via a communication bus, and the transceiver is used to communicate with other devices.

[0103] Next, combine Figure 3 The following is a detailed introduction to the various components of the electronic device:

[0104] Among them, the processor is the control center of the electronic device, and the electronic device may include multiple processors, each of which may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). The processor here may be a processor or a general term for multiple processing elements. For example, the processor is one or more central processing units (CPUs), or other general-purpose processors, application specific integrated circuits (ASICs), or one or more integrated circuits configured to implement an embodiment of the present invention, such as one or more microprocessors (digital signal processors, DSPs), or one or more field programmable gate arrays (field programmable gate arrays, FPGAs), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor may execute various functions of the electronic device by running or executing software programs stored in the memory and calling data stored in the memory.

[0105] In a specific implementation, as an embodiment, the processor may include one or more CPUs, such as Figure 3 The CPU0 and CPU1 shown in the figure are, of course, only exemplary.

[0106] The memory is used to store the software program for executing the solution of the present invention, and the execution is controlled by the processor. The specific implementation method can refer to the above method embodiment and will not be repeated here.

[0107] Optionally, the memory may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may be integrated with the processor or exist independently and accessed through the interface circuit ( Figure 3 (not shown) is coupled to the processor, which is not specifically limited in this embodiment of the present invention.

[0108] The transceiver may include a receiver and a transmitter ( Figure 3 The receiver is used to implement the receiving function, and the transmitter is used to implement the sending function. The transceiver can be integrated with the processor or exist independently and communicate with the electronic device through the interface circuit ( Figure 3 (not shown) is coupled to the processor, which is not specifically limited in this embodiment of the present invention.

[0109] In addition, it should be noted that Figure 3 The structure of the electronic device shown in the figure does not constitute a limitation on the device, and the actual device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. In addition, the technical effects achieved by the electronic device when executing the method of the first embodiment above can refer to the technical effects described in the first embodiment above, so they are not repeated here.

[0110] Third embodiment

[0111] This embodiment provides a computer-readable storage medium, which stores at least one instruction, and the instruction is loaded and executed by a processor to implement the method of the first embodiment. The computer-readable storage medium may be a ROM, a random access memory, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc. The instructions stored therein may be loaded by a processor in a terminal to execute the method.

[0112] In addition, it should be noted that the present invention can be provided as a method, an apparatus or a computer program product. Therefore, the embodiment of the present invention can be in the form of a full or partial hardware embodiment, a full or partial software embodiment or an embodiment combining software and hardware. Moreover, when implemented using software, the embodiment of the present invention can be in the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center containing one or more available media sets. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium. The semiconductor medium may be a solid state hard disk.

[0113] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0114] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable terminal device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0115] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements. In addition, the term "and / or" is only an association relationship describing the associated objects, indicating that there can be three relationships, for example, A and / or B, which can represent: A exists alone, A and B exist at the same time, and B exists alone, wherein A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding. "At least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can be represented by: a, b, c, ab, ac, bc or abc, where a, b, c can be single or plural.

[0116] In addition, it can be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0117] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0118] In several embodiments provided by the present invention, it should be understood that the disclosed equipment, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of functional modules / units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The unit described as a separate component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0119] If the method is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0120] Finally, it should be noted that the above is only a preferred embodiment of the present invention. It should be pointed out that although the preferred embodiment of the present invention has been described, for ordinary technicians in this technical field, once the basic creative concept of the present invention is known, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the protection scope of the present invention. Therefore, the attached claims are intended to be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the embodiments of the present invention.

Claims

1. A method for optimizing the process parameters of the outer diameter of a seamless steel pipe, characterized in that: include: Establish a seamless steel pipe outer diameter prediction model based on seamless steel pipe production process parameters; Determine the process parameters that need to be optimized, and determine the allowable adjustment range of each process parameter that needs to be optimized; Determine the process parameter adjustment strategy under different degrees of outer diameter deviation; Based on the seamless steel pipe outer diameter prediction model, the allowable adjustment range of each process parameter that needs to be optimized, and the process parameter adjustment strategy under different outer diameter deviation degrees, combined with the actual production process requirements, with the minimum outer diameter deviation of seamless steel pipe as the goal, a process parameter optimization setting model is constructed to achieve the optimal setting of process parameters.

2. The method for optimizing and setting the process parameters of the outer diameter of a seamless steel pipe according to claim 1, characterized in that: Determine the process parameters that need to be optimized and the allowable adjustment range of each process parameter that needs to be optimized, including: Determine the process parameters that can be modified immediately during the perforation, tube rolling and diameter reduction of seamless steel tubes as candidate process parameters; Conduct correlation analysis on candidate process parameters, and select multiple parameters that have the greatest impact on the outer diameter of seamless steel pipes as process parameters that need to be optimized; Determine the allowable adjustment range of each process parameter that needs to be optimized.

3. The method for optimizing and setting the process parameters of the outer diameter of a seamless steel pipe according to claim 1, characterized in that: The process parameters that need to be optimized include: the top extension of the piercing machine, the distance between the piercing machine guide plates, the gap between the piercing machine rolls, the throat diameter of the tube rolling mill, and the roll speed of each frame of the reducing mill.

4. The method for optimizing and setting the process parameters of the outer diameter of a seamless steel pipe according to claim 3, characterized in that: Determine the process parameter adjustment strategy under different outer diameter deviation levels, including: Determine the outer diameter deviation range of seamless steel pipe that can be adjusted by modifying process parameters [Δd min , Δd max ]; If the outer diameter deviation of seamless steel pipe is [Δd min , Δd0] or [Δd3, Δd max ], the puncher top extension, puncher guide plate distance, puncher roll gap, tube mill throat diameter and roll speed of each frame of the reducing unit are optimized at the same time; if the outer diameter deviation of the seamless steel pipe is within the range of [Δd0, Δd1] or [Δd2, Δd3], the puncher guide plate distance, tube mill throat diameter and roll speed of each frame of the reducing unit are optimized at the same time; if the outer diameter deviation of the seamless steel pipe is within the range of [Δd1, Δd2], no adjustment is made; where Δd min Δd is the minimum value of the outer diameter of the seamless steel pipe that can be adjusted by modifying the process parameters; max is the maximum value of the outer diameter of the seamless steel pipe that can be adjusted by modifying the process parameters; Δd0, Δd1, Δd2, and Δd3 are different preset values, and Δd min <Δd0<Δd1<0<Δd2<Δd3<Δd max .

5. The method for optimizing and setting the process parameters of the outer diameter of a seamless steel pipe according to claim 4, characterized in that: Based on the seamless steel pipe outer diameter prediction model, the allowable adjustment range of each process parameter to be optimized, and the process parameter adjustment strategy under different outer diameter deviation degrees, combined with the actual production process requirements, with the goal of minimizing the outer diameter deviation of seamless steel pipes, a process parameter optimization setting model is constructed to achieve the optimal setting of process parameters, including: Step 1: Based on the seamless steel pipe outer diameter prediction model, the outer diameter prediction value of the seamless steel pipe in the current production process is obtained, and the current outer diameter deviation value x0 of the seamless steel pipe is calculated in combination with the actual production process requirements; Step 2: If x0 is less than Δd min or greater than Δd max , it is determined that the outer diameter cannot be adjusted by modifying the process parameters alone. At this time, an alarm is issued, suggesting that it is recommended to replace the tooling; if x0 is in [Δd min , Δd0] or [Δd3, Δd max ], then go to step 3; if x0 is in the range of [Δd0, Δd1] or [Δd2, Δd3], then go to step 5; if x0 is in the range of [Δd1, Δd2], then it is determined that the optimization goal has been achieved and the current process parameters are used for production; Step 3, obtain the adjustment amount of the puncher top extension, the puncher guide plate distance, the puncher roll gap, the tube mill throat diameter and the roll speed of each frame of the reducing unit, and obtain multiple different combinations of the adjustment amount of each parameter, input each combination into the seamless steel pipe outer diameter prediction model, obtain the seamless steel pipe outer diameter prediction value under the corresponding combination, and calculate the seamless steel pipe outer diameter deviation value under the corresponding combination; if the seamless steel pipe outer diameter deviation value corresponding to a certain combination is within the range of [Δd1, Δd2], then save this combination, perform inverse normalization, obtain the optimal process parameters, and send them to the production system; if the seamless steel pipe outer diameter deviation values ​​corresponding to all combinations are within the range of [Δd0, Δd1] or [Δd2, Δd3], then enter step 5; if the seamless steel pipe outer diameter deviation values ​​corresponding to all combinations are within the range of [Δd min , Δd0] or [Δd3, Δd max ] range, go to step 4; Step 4, using the combination corresponding to the two minimum outer diameter deviation values ​​obtained in step 3 or the interval composed of the positive deviation and negative deviation combination with the smallest deviation value as the optimization range of the puncher roll gap, the puncher guide plate distance, the puncher top extension and the tube mill throat diameter, and using the roll speed adjustment amount of each stand of the reducing unit calculated in step 3 as the initial value, optimizing the roll gap of the puncher roll, the puncher guide plate distance, the puncher top extension, the tube mill throat diameter and the roll speed of each stand of the reducing unit; Step 5, obtain the adjustment amount of the piercing machine guide plate distance, the tube mill throat diameter and the roller speed of each stand of the reducing unit, obtain multiple different combinations of the adjustment amount of each parameter, input each combination into the seamless steel pipe outer diameter prediction model, obtain the seamless steel pipe outer diameter prediction value under the corresponding combination, and calculate the seamless steel pipe outer diameter deviation value under the corresponding combination; if the seamless steel pipe outer diameter deviation value corresponding to a certain combination is within the range of [Δd1, Δd2], then save this combination, perform inverse normalization, obtain the optimal process parameters, and send them to the production system; if the outer diameter deviation values ​​corresponding to all combinations are within the range of [Δd0, Δd1] or [Δd2, Δd3], then enter step 6; Step 6, using the combination corresponding to the two minimum outer diameter deviation values ​​obtained in step 5 or the interval consisting of the positive deviation and negative deviation combination with the smallest deviation value as the optimization range of the piercing machine guide plate distance and the tube rolling mill throat diameter, and using the adjustment amount of the roller speed of each frame of the reducing unit calculated in step 5 as the initial value, optimize the piercing machine guide plate distance, the tube rolling mill throat diameter and the roller speed of each frame of the reducing unit.

6. The method for optimizing and setting the process parameters of the outer diameter of a seamless steel pipe according to claim 5, characterized in that: The method of obtaining the adjustment amount of each parameter is: the allowable adjustment range of each process parameter is averagely segmented respectively; the adjustment amount of each process parameter is determined according to the segmentation result; The setting of the adjustment amount of the punch guide plate distance must satisfy the following formula: Where, b is the roll gap; l is the distance between the piercing machine guide plates; d z is the diameter of the tube blank; d0 is the rough tube diameter; The roller speed of each stand of the reducing mill is calculated by the following formula: Where, d i is the outer diameter of the steel pipe after passing through the i-th rack; d i0 is the hole diameter of the i-th rack; i is the rack number; x is the current outer diameter deviation; a is the number of racks currently used; N i is the speed of the i-th rack; N i+1 is the speed of the i+1th rack; d i+1 is the outer diameter of the steel pipe after passing through the i+1th rack; s is the wall thickness of the rough pipe.

7. The method for optimizing and setting the process parameters of the outer diameter of a seamless steel pipe according to claim 5, characterized in that: The optimization function of the roll gap of the piercing machine, the distance between the piercing machine guide plates, the top extension of the piercing machine, the throat diameter of the tube mill and the roll speed of each stand of the reducing mill is expressed as follows: Where D p is the outer diameter deviation; b is the roll gap; l is the distance between the piercing machine guide plates; y is the forward extension of the piercing machine head; e is the throat diameter of the tube mill; A is the optimal range of the roll gap of the piercing machine, the distance between the piercing machine guide plates, the forward extension of the piercing machine head and the throat diameter of the tube mill; a is the number of stands currently used; Δn i is the speed difference between the i-th rack and the previous rack; Δn i+1 is the speed difference between the i+1th rack and the previous rack; n i is the speed of the i-th rack; n i+1 is the speed of the i+1th rack; i is the rack number; The particle swarm algorithm (PSO) is used to solve the optimal solution of the optimization function of the roll gap of the piercing machine, the distance between the piercing machine guide plates, the top extension of the piercing machine, the throat diameter of the tube mill and the roll speed of each stand of the reducing mill. p When it is within [Δd1, Δd2], stop the optimization, save the combination of process parameters corresponding to the optimal solution, and after denormalization, obtain the optimal process parameters and send them to the production system.

8. The method for optimizing and setting the process parameters of the outer diameter of a seamless steel pipe according to claim 5, characterized in that: The optimization function of the guide plate distance of the piercing machine, the throat diameter of the tube rolling mill and the roller speed of each stand of the reducing mill is expressed as: Where D p is the outer diameter deviation; b is the roll gap; e is the throat diameter of the tube mill; B is the optimal range of the piercing machine guide plate distance and the tube mill throat diameter; a is the number of stands currently used; Δn i is the speed difference between the i-th rack and the previous rack; Δn i+1 is the speed difference between the i+1th rack and the previous rack; n i is the speed of the i-th rack; n i+1 is the rotation speed of the i+1th rack; i is the rack number; PSO is used to solve the optimal solution of the optimization function of the piercing machine guide plate distance, the pipe mill throat diameter and the roller speed of each stand of the reducing mill. p When it is within the range of [Δd1, Δd2], stop the optimization, save the combination of process parameters corresponding to the optimal solution, and after denormalization, obtain the optimal process parameters and send them to the production system.

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