Steel pipe continuous rolling sharpening parameter optimization method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of seamless steel pipe continuous rolling parameter optimization, in particular to a steel pipe continuous rolling sharpening parameter optimization method and device, electronic equipment and a storage medium. Then, according to the steel pipe specification and the pierced billet temperature, a target historical record is found from the sizing tracking database, and a first sharpening compensation queue sequenced according to the corresponding steel pipe positions is determined according to the target historical record; secondly, for each rack, the rack compensation length and multiple wall thickness compensation amounts are determined according to the first sharpening compensation queue, and a first reduction compensation amount queue sorted according to time nodes is constructed according to the rack compensation length, the rack steel pipe outlet speed and the multiple wall thickness compensation amounts; and finally, for each first reduction compensation amount queue, according to the response characteristic of the corresponding rack roller gap value to a set value, a set value compensation queue sorted according to time nodes is constructed. The sharpening size is controlled more accurately, and the yield of seamless steel pipes is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of seamless steel pipe continuous rolling parameter optimization, and in particular to a method, device, electronic equipment and storage medium for optimizing steel pipe continuous rolling sharpening parameters. Background Art

[0002] Seamless steel pipe is a long, hollow steel strip with no seams. Due to its high strength, toughness, and high pressure-bearing capacity, it is widely used in industries such as industry, construction, energy, and transportation. Hot rolling is the most widely used process for producing seamless steel pipe, due to its high production efficiency and wide range of applicable specifications.

[0003] The core production steps for hot-rolled seamless steel pipes include heating the billet, piercing, hot rolling, sizing and reducing, cooling, and finishing. Sizing, as a core process, significantly determines the dimensional accuracy and yield rate of the seamless steel pipe. However, due to process influences, the sizing and reducing steps may cause increased wall thickness at the head and / or tail ends of the steel pipe. These areas are then sawn off in the finished steel pipe to ensure that the dimensions of all parts of the finished steel pipe meet product standards.

[0004] In one production process, a thinned section (rough pipe taper) is created at the end of the hot-rolled rough pipe to partially offset the wall thickness increase caused by the sizing and reducing steps, thereby improving the yield rate of seamless steel pipe.

[0005] However, since some hot rolling equipment adopts continuous rolling process, which involves many rolling links, the ability to control the sharpening size of the rough pipe is very limited, which affects the effect of rough pipe sharpening on improving the yield of seamless steel pipes.

[0006] Based on this, it is necessary to develop and design a method for optimizing the parameters of steel pipe continuous rolling sharpening. Summary of the Invention

[0007] The embodiments of the present invention provide a method, device, electronic equipment and storage medium for optimizing parameters of steel pipe continuous rolling point cutting, which are used to solve the problem of inaccurate size control of steel pipe continuous rolling point cutting in the prior art.

[0008] In a first aspect, an embodiment of the present invention provides a method for optimizing steel pipe continuous rolling sharpening parameters, comprising: Obtain steel pipe specifications and rough pipe temperature; Finding target historical records from a sizing tracking database based on the steel pipe specification and the rough pipe temperature, and determining a first sharpening compensation queue sorted by corresponding steel pipe positions based on the target historical records, wherein the sizing size data volatility of the target historical records is better than that of steel pipes of the same specification in the sizing tracking database; For each rack, determining a rack compensation length and multiple wall thickness compensation amounts according to the first tapering compensation queue, and constructing a first pressing-down compensation amount queue sorted by time nodes according to the rack compensation length, the rack steel pipe outlet speed, and the multiple wall thickness compensation amounts; For each first pressing compensation amount queue, a set value compensation queue sorted according to time nodes is constructed based on the response characteristics of the corresponding stand roll gap value to the set value.

[0009] In one possible implementation, the step of finding target historical records from a sizing tracking database based on the steel pipe specification and the rough pipe temperature, and determining a first sharpening compensation queue sorted by corresponding steel pipe positions based on the target historical records includes: Finding multiple historical records matching the steel pipe specification and the rough pipe temperature from the sizing tracking database as multiple candidate historical records; The candidate historical records are retrieved from the plurality of candidate historical records in a traversal manner, and the following steps are performed after the retrieval: Calculate the average of multiple measured wall thickness values before sizing and the average of multiple measured wall thickness values after sizing of the middle section of the steel pipe as the average wall thickness before sizing and the average wall thickness after sizing; Determining a tapered compensation section according to the average wall thickness before sizing, wherein a deviation between the actually measured wall thickness data before sizing of the tapered compensation section and the average wall thickness before sizing is greater than a threshold value; Arrange the plurality of pre-sizing measured wall thickness values of the tapered compensation section and the plurality of post-sizing measured wall thickness values of the tapered compensation section according to corresponding positions to obtain a first measured wall thickness queue and a second measured wall thickness queue; Determine the wall thickness uniformity index of the sizing steel pipe according to the second measured wall thickness queue and the average wall thickness after sizing, and add the wall thickness uniformity index of the sizing steel pipe to the index array; If the traversal of the multiple candidate historical records is not completed, jump to the step of traversing and extracting the candidate historical records from the multiple candidate historical records; Otherwise, the candidate historical record corresponding to the smallest index in the index array is used as the target historical record; A first tapering compensation queue is constructed using the first measured wall thickness queue constructed according to the target historical records and the average wall thickness before sizing.

[0010] In one possible implementation, determining the wall thickness uniformity index of the sizing steel pipe according to the second measured wall thickness queue and the average wall thickness after sizing includes: The wall thickness uniformity index of the sizing steel pipe is determined according to the first formula, the second measured wall thickness queue, and the average wall thickness after sizing, wherein the first formula is:

[0011] Where, is the wall thickness uniformity index of the sizing steel pipe, The second measured wall thickness queue data, is the total number of data in the second measured wall thickness queue, It is the average wall thickness after sizing.

[0012] In one possible implementation, for each rack, determining a rack compensation length and multiple wall thickness compensation amounts according to the first tapering compensation queue, and constructing a first pressing down compensation amount queue sorted by time nodes according to the rack compensation length, the rack steel pipe outlet speed, and the multiple wall thickness compensation amounts, including: Acquire multiple wall thickness variation values and multiple roll gap values, wherein each stand corresponds to one wall thickness variation value and one roll gap value; For each rack, perform the following steps: Determining multiple wall thickness compensation amounts based on the first tapered compensation queue and the multiple wall thickness changes, and determining a rack compensation length based on the tapered compensation length corresponding to the first tapered compensation queue, the outlet wall thickness corresponding to the rack, and the multiple wall thickness compensation amounts; Determining a rack sharpening time according to the rack sharpening compensation length and the corresponding exit speed of the rack; Determine multiple rack depression compensation amounts according to the wall thickness variation corresponding to the rack, the roll gap value corresponding to the rack, and the multiple wall thickness compensation amounts, and construct the multiple rack depression compensation amounts into a second depression compensation amount queue; The second depression compensation amount queue is interpolated according to the number of time nodes within the rack sharpening time length to obtain the first depression compensation amount queue.

[0013] In a possible implementation, determining multiple wall thickness compensation amounts according to the first sharpening compensation queue and the multiple wall thickness changes includes: A plurality of wall thickness compensation amounts are determined according to a second formula, the first sharpening compensation queue, and the plurality of wall thickness changes, wherein the second formula is:

[0014] Where, For the Rack No. Wall thickness compensation, The first trimming compensation queue data, For the The wall thickness variation of each rack, For the The wall thickness variation of each rack, is the total number of racks; The determining of the rack compensation length according to the tapered compensation length corresponding to the first tapered compensation queue, the outlet wall thickness corresponding to the rack, and the multiple wall thickness compensation amounts includes: The rack compensation length is determined according to a third formula, the tapered compensation length corresponding to the first tapered compensation queue, the outlet wall thickness corresponding to the rack, the multiple wall thickness compensation amounts, the rack outlet steel pipe cross-sectional area, and the final rack outlet steel pipe cross-sectional area, wherein the third formula is:

[0015] Where, For the Rack compensation length, For the The outlet wall thickness corresponding to each rack is is the total number of multiple wall thickness compensations, is the length of the first sharpening compensation queue corresponding to the sharpening compensation, is the cross-sectional area of the steel pipe at the outlet of the final frame, For the Cross-sectional area of steel pipe at the rack outlet.

[0016] In a possible implementation, for each first press-down compensation amount queue, a set value compensation queue sorted according to time nodes is constructed according to the response characteristics of the corresponding stand roll gap value to the set value, including: For each first compression compensation amount queue, perform the following steps respectively: Obtaining a roll gap value response model and a plurality of first set value queues for a corresponding stand, wherein the roll gap value response model outputs a roll gap value queue representing roll gap value fluctuations according to the set value, and the first set value queue is constructed according to a plurality of random numbers generated based on the roll gap value of the stand; For each first set value queue, sequentially extract set values and input them into the roll gap value response model, and sequentially arrange the outputs of the roll gap value response model to obtain a roll gap value response queue; For each roll gap value response queue, the data in the roll gap value response queue is subtracted from the roll gap value of the stand to obtain a third press-down compensation amount queue; determining a plurality of queue deviations according to the first depression compensation amount queue and the plurality of third depression compensation amount queues; Adding the multiple queue deviations to multiple deviation queues respectively, wherein each deviation queue corresponds to a first set value queue; If the number of iterations has not been reached, perform the following steps: For each first set value queue, find a historical queue corresponding to a minimum value from the corresponding deviation queue as a historical optimal queue, find a queue corresponding to a minimum value from the multiple queue deviations as a global optimal queue, adjust the first set value queue according to the historical optimal queue and the global optimal queue, use the adjusted first set value queue as the first set value queue, and jump to the step of sequentially extracting set values for each first set value queue and inputting them into the roll gap value response model, sequentially arranging the outputs of the roll gap value response model to obtain a roll gap value response queue; Otherwise, find the queue corresponding to the minimum value from the multiple deviation queues as the global optimal queue; The data in the global optimal queue is subtracted from the roll gap value of the stand to obtain the set value compensation queue.

[0017] In one possible implementation, determining multiple queue deviations based on the first depression compensation amount queue and the multiple third depression compensation amount queues includes: Multiple queue deviations are determined according to a fourth formula, the first depression compensation amount queue, and the multiple third depression compensation amount queues, wherein the fourth formula is:

[0018] Where, is the queue bias, The first compression compensation queue data, The third compression compensation queue data, The total amount of data in the first compression compensation queue.

[0019] In a second aspect, an embodiment of the present invention provides a device for optimizing steel pipe continuous rolling sharpening parameters, for implementing the method for optimizing steel pipe continuous rolling sharpening parameters as described in the first aspect or any possible implementation of the first aspect, the device comprising: The rough pipe parameter acquisition module is used to obtain the steel pipe specifications and rough pipe temperature; a sharpening compensation parameter determination module, configured to find target historical records from a sizing tracking database based on the steel pipe specification and the rough pipe temperature, and determine, based on the target historical records, a first sharpening compensation queue sorted by corresponding steel pipe positions, wherein the sizing dimension data volatility of the target historical records is better than that of steel pipes of the same specification in the sizing tracking database; a press-down compensation amount determination module, configured to determine, for each rack, a rack compensation length and a plurality of wall thickness compensation amounts according to the first tapering compensation queue, and construct a first press-down compensation amount queue sorted by time nodes according to the rack compensation length, the rack steel pipe outlet speed, and the plurality of wall thickness compensation amounts; as well as, The set value compensation amount determination module is used to construct a set value compensation queue sorted according to time nodes for each first pressing compensation amount queue based on the response characteristics of the corresponding stand roll gap value to the set value.

[0020] In a third aspect, an embodiment of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, it implements the steps of the method described in the first aspect or any possible implementation of the first aspect.

[0021] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the method described in the first aspect or any possible implementation of the first aspect.

[0022] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: An embodiment of the present invention discloses a method for optimizing the sharpening parameters of continuous rolling of steel pipes, which first obtains the steel pipe specifications and the rough pipe temperature; then, based on the steel pipe specifications and the rough pipe temperature, finds the target historical records from the sizing tracking database, and determines a first sharpening compensation queue sorted according to the corresponding steel pipe position based on the target historical records, wherein the sizing size data volatility of the target historical records is better than that of steel pipes of the same specifications in the sizing tracking database; then, for each rack, the rack compensation length and multiple wall thickness compensation amounts are determined based on the first sharpening compensation queue, and based on the rack compensation length, the rack steel pipe outlet speed and the multiple wall thickness compensation amounts, a first pressing down compensation amount queue sorted according to time nodes is constructed; finally, for each first pressing down compensation amount queue, a set value compensation queue sorted according to time nodes is constructed based on the response characteristics of the corresponding rack roll gap value to the set value. The embodiment of the present invention determines the wall thickness tapering compensation amount from the sizing steel pipe database, distributes the wall thickness tapering parameters to each frame, and absorbs the wall thickness compensation amount in batches through the frame. Based on the response characteristics of the frame roller, a set value compensation queue is generated. Therefore, it can be ensured that the end of the rough pipe after continuous rolling has the expected tapering parameters, the tapering size control is more accurate, and the yield rate of seamless steel pipe is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. 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 any creative labor.

[0024] Figure 1 This is a flow chart of a method for optimizing steel pipe continuous rolling sharpening parameters provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of the principle of improving the steel pipe yield rate by compensating for rough pipe sharpening provided by an embodiment of the present invention; Figure 3 This is a functional block diagram of a device for optimizing steel pipe continuous rolling sharpening parameters provided by an embodiment of the present invention; Figure 4 This is a functional block diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In the following description, specific details such as particular system structures and techniques are provided for purposes of illustration, not limitation, to facilitate a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in alternative embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0026] In order to make the objectives, technical solutions and advantages of the present invention more clear, the following will be described through specific implementation methods in conjunction with the accompanying drawings.

[0027] The following is a detailed description of an embodiment of the present invention. This example is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiment.

[0028] Figure 1 This is a flow chart of a method for optimizing steel pipe continuous rolling sharpening parameters provided by an embodiment of the present invention.

[0029] like Figure 1 As shown, it shows a flow chart of the implementation of the method for optimizing the steel pipe continuous rolling sharpening parameters provided by an embodiment of the present invention, which is detailed as follows: In step 101, the steel pipe specifications and the rough pipe temperature are obtained.

[0030] In step 102, target historical records are found from a sizing tracking database based on the steel pipe specification and the rough pipe temperature, and a first sharpening compensation queue sorted by corresponding steel pipe positions is determined based on the target historical records, wherein the sizing size data volatility of the target historical records is better than that of steel pipes of the same specification in the sizing tracking database.

[0031] In some embodiments, the step of finding target historical records from a sizing tracking database based on the steel pipe specification and the waste pipe temperature, and determining a first sharpening compensation queue sorted by corresponding steel pipe positions based on the target historical records, includes: Finding multiple historical records matching the steel pipe specification and the rough pipe temperature from the sizing tracking database as multiple candidate historical records; The candidate historical records are retrieved from the plurality of candidate historical records in a traversal manner, and the following steps are performed after the retrieval: Calculate the average of multiple measured wall thickness values before sizing and the average of multiple measured wall thickness values after sizing of the middle section of the steel pipe as the average wall thickness before sizing and the average wall thickness after sizing; Determining a tapered compensation section according to the average wall thickness before sizing, wherein a deviation between the actually measured wall thickness data before sizing of the tapered compensation section and the average wall thickness before sizing is greater than a threshold value; Arrange the plurality of pre-sizing measured wall thickness values of the tapered compensation section and the plurality of post-sizing measured wall thickness values of the tapered compensation section according to corresponding positions to obtain a first measured wall thickness queue and a second measured wall thickness queue; Determine the wall thickness uniformity index of the sizing steel pipe according to the second measured wall thickness queue and the average wall thickness after sizing, and add the wall thickness uniformity index of the sizing steel pipe to the index array; If the traversal of the multiple candidate historical records is not completed, jump to the step of traversing and extracting the candidate historical records from the multiple candidate historical records; Otherwise, the candidate historical record corresponding to the smallest index in the index array is used as the target historical record; A first tapering compensation queue is constructed using the first measured wall thickness queue constructed according to the target historical records and the average wall thickness before sizing.

[0032] In some embodiments, determining the wall thickness uniformity index of the sizing steel pipe according to the second measured wall thickness queue and the average wall thickness after sizing includes: The wall thickness uniformity index of the sizing steel pipe is determined according to the first formula, the second measured wall thickness queue, and the average wall thickness after sizing, wherein the first formula is:

[0033] Where, is the wall thickness uniformity index of the sizing steel pipe, The second measured wall thickness queue data, is the total number of data in the second measured wall thickness queue, It is the average wall thickness after sizing.

[0034] For example, Figure 2 The figure shows the principle of offsetting the sizing process's enhanced wall thickness at the end of a steel pipe by sharpening the rough pipe. The sizing process produces a certain degree of thickening at both ends of the sized steel pipe 202. The present invention provides a rough pipe sharpening parameter optimization method based on a continuous rolling process. This method controls the various stands of the continuous rolling equipment, enabling the sharpened rough pipe 201 produced by the continuous rolling process to effectively compensate for the sizing rough pipe 202. This reduces the wall thickness deviation at both ends of the finished product 203, thereby improving the yield rate of the finished product 203.

[0035] To achieve the above objectives, the method of the present invention locates optimal historical rough pipe dimensional data based on historical records in a sizing tracking database. This dimensional data is analyzed to obtain compensation data for rough pipe wall thickness taper. Based on this compensation data, wall thickness compensation amounts are then assigned to each stand. Because continuous rolling equipment typically lacks the ability to detect rough pipe outlet length or wall thickness in real time, the wall thickness compensation amounts are converted into corresponding reduction compensation amounts at specific time points. Finally, because the roll gap value of the stand is adjusted by automatic control equipment and an automatic control algorithm, the roll gap value exhibits responsiveness relative to the set value. Therefore, the reduction compensation amount is converted back into a compensation value for the roll set value based on the roll gap value. When the roll gap value is compensated for according to the compensation value, a rough pipe with a predetermined tapered effect is ultimately produced.

[0036] In terms of generating tapered wall thickness compensation data based on the sizing tracking database, the present invention performs an initial screening of historical records based on the steel pipe specifications and the expected rough pipe temperature (the rough pipe temperature before entering the sizing process after continuous rolling), and only retains historical records with matching specifications and rough pipe temperatures as alternative historical records.

[0037] To find the best record from these candidate historical records, the present invention traverses the candidate historical records. The average wall thickness before and after sizing of the middle section of the steel pipe is used as a reference. The tapering compensation segment is determined based on the average pre-sizing wall thickness. For example, starting from the data at one end of the steel pipe, the segment where the difference between the average pre-sizing wall thickness and the average pre-sizing wall thickness is greater than a deviation threshold is used as the tapering compensation segment.

[0038] The pre-sizing and post-sizing wall thickness data segments of the steel pipe corresponding to the tapered compensation section are extracted as two measured wall thickness queues. For the measured wall thickness queue constructed from the post-sizing wall thickness data segment, the average post-sizing wall thickness obtained in the previous steps is used as a reference to determine the uniformity index of the tapered compensation section. In one application scenario, the following formula is used:

[0039] Where, is the wall thickness uniformity index of the sizing steel pipe, The second measured wall thickness queue data, is the total number of data in the second measured wall thickness queue, It is the average wall thickness after sizing.

[0040] The more uniform the wall thickness, the smaller the uniformity index obtained by the above formula. In this way, the record of the steel pipe with the best wall thickness uniformity after sizing can be found from the alternative historical records.

[0041] The measured wall thickness queue constructed using the pre-sizing wall thickness data segment extracted from the optimal steel pipe record is subtracted from the pre-sizing wall thickness mean value obtained in the above steps to obtain the corresponding tapering compensation queue, that is, the first tapering compensation queue.

[0042] In step 103, for each rack, the rack compensation length and multiple wall thickness compensation amounts are determined according to the first sharpening compensation queue, and a first pressing compensation amount queue sorted according to time nodes is constructed according to the rack compensation length, the rack steel pipe outlet speed and the multiple wall thickness compensation amounts.

[0043] In some embodiments, for each rack, determining a rack compensation length and multiple wall thickness compensation amounts according to the first tapering compensation queue, and constructing a first pressing-down compensation amount queue sorted by time nodes according to the rack compensation length, the rack steel pipe outlet speed, and the multiple wall thickness compensation amounts, includes: Acquire multiple wall thickness variation values and multiple roll gap values, wherein each stand corresponds to one wall thickness variation value and one roll gap value; For each rack, perform the following steps: Determining multiple wall thickness compensation amounts based on the first tapered compensation queue and the multiple wall thickness changes, and determining a rack compensation length based on the tapered compensation length corresponding to the first tapered compensation queue, the outlet wall thickness corresponding to the rack, and the multiple wall thickness compensation amounts; Determining a rack sharpening time according to the rack sharpening compensation length and the corresponding exit speed of the rack; Determine multiple rack depression compensation amounts according to the wall thickness variation corresponding to the rack, the roll gap value corresponding to the rack, and the multiple wall thickness compensation amounts, and construct the multiple rack depression compensation amounts into a second depression compensation amount queue; The second depression compensation amount queue is interpolated according to the number of time nodes within the rack sharpening time length to obtain the first depression compensation amount queue.

[0044] In some embodiments, determining a plurality of wall thickness compensation amounts according to the first sharpening compensation queue and the plurality of wall thickness changes includes: A plurality of wall thickness compensation amounts are determined according to a second formula, the first sharpening compensation queue, and the plurality of wall thickness changes, wherein the second formula is:

[0045] Where, For the Rack No. Wall thickness compensation, The first trimming compensation queue data, For the The wall thickness variation of each rack, For the The wall thickness variation of each rack, is the total number of racks; The determining of the rack compensation length according to the tapered compensation length corresponding to the first tapered compensation queue, the outlet wall thickness corresponding to the rack, and the multiple wall thickness compensation amounts includes: The rack compensation length is determined according to a third formula, the tapered compensation length corresponding to the first tapered compensation queue, the outlet wall thickness corresponding to the rack, the multiple wall thickness compensation amounts, the rack outlet steel pipe cross-sectional area, and the final rack outlet steel pipe cross-sectional area, wherein the third formula is:

[0046] Where, For the Rack compensation length, For the The outlet wall thickness corresponding to each rack is is the total number of multiple wall thickness compensations, is the length of the first sharpening compensation queue corresponding to the sharpening compensation, is the cross-sectional area of the steel pipe at the outlet of the final frame, For the Cross-sectional area of steel pipe at the rack outlet.

[0047] For example, with respect to wall thickness control, as mentioned above, the control logic of continuous rolling equipment is relatively complex. The present invention proposes to distribute the wall thickness to each frame of the continuous rolling equipment for absorption. The advantage of doing so is that absorption by each frame can reduce damage to equipment and products caused by excessive deformation, and small deformation can also provide more precise control of size.

[0048] In order to achieve the purpose of allocating wall thickness to each rack, the present invention obtains the corresponding wall thickness variation and rack roller gap value for each rack. The wall thickness variation refers to the difference in wall thickness before the rough pipe enters the rack and after it exits the rack. Based on the wall thickness variation of multiple racks and the sharpening compensation queue obtained in the above steps, the sharpening compensation array corresponding to each rack can be calculated. In one application scenario, the following formula is used:

[0049] Where, For the Rack No. Wall thickness compensation, The first trimming compensation queue data, For the The wall thickness variation of each rack, For the The wall thickness variation of each rack, The total number of racks.

[0050] As mentioned above, since it is impossible to detect the length of the steel pipe passing through the rolling roller in real time, the embodiment of the present invention obtains the sharpened length of the frame, and then calculates the time it takes to pass through the frame by using the sharpened length of the frame and the outlet speed of the frame. According to the time it takes to pass through the frame, the frame roller's depression compensation amount is allocated to the frame.

[0051] In determining the sharpening length of the rack, the following formula is used for calculation:

[0052] Where, For the Rack compensation length, For the The outlet wall thickness corresponding to each rack is is the total number of multiple wall thickness compensations, is the length of the first sharpening compensation queue corresponding to the sharpening compensation, is the cross-sectional area of the steel pipe at the outlet of the final frame, For the Cross-sectional area of steel pipe at the rack outlet.

[0053] In determining the roller down pressure compensation amount, one method adopts proportional calculation. Specifically, the quotient obtained by dividing the wall thickness compensation amount by the wall thickness change of the frame is multiplied by the roller gap value corresponding to the frame to obtain the roller down pressure compensation amount. Multiple wall thickness compensation amounts can correspond to multiple roller down pressure compensation amounts. These multiple roller down pressure compensation amounts are sorted according to their positions to obtain the second down pressure compensation amount queue.

[0054] After the rack's tapered length is determined, the time it takes for the tapered length to pass through the rack can be determined based on the rack's exit speed. Based on the number of time nodes within this time, the second depression compensation amount queue can be interpolated to obtain the first depression compensation amount queue.

[0055] In step 104, for each first depression compensation amount queue, a set value compensation queue sorted according to time nodes is constructed according to the response characteristics of the corresponding stand roll gap value to the set value.

[0056] In some embodiments, for each first press-down compensation amount queue, a set value compensation queue sorted according to time nodes is constructed based on the response characteristics of the corresponding stand roll gap value to the set value, including: For each first compression compensation amount queue, perform the following steps respectively: Obtaining a roll gap value response model and a plurality of first set value queues for a corresponding stand, wherein the roll gap value response model outputs a roll gap value queue representing roll gap value fluctuations according to the set value, and the first set value queue is constructed according to a plurality of random numbers generated based on the roll gap value of the stand; For each first set value queue, sequentially extract set values and input them into the roll gap value response model, and sequentially arrange the outputs of the roll gap value response model to obtain a roll gap value response queue; For each roll gap value response queue, the data in the roll gap value response queue is subtracted from the roll gap value of the stand to obtain a third press-down compensation amount queue; determining a plurality of queue deviations according to the first depression compensation amount queue and the plurality of third depression compensation amount queues; Adding the multiple queue deviations to multiple deviation queues respectively, wherein each deviation queue corresponds to a first set value queue; If the number of iterations has not been reached, perform the following steps: For each first set value queue, find a historical queue corresponding to a minimum value from the corresponding deviation queue as a historical optimal queue, find a queue corresponding to a minimum value from the multiple queue deviations as a global optimal queue, adjust the first set value queue according to the historical optimal queue and the global optimal queue, use the adjusted first set value queue as the first set value queue, and jump to the step of sequentially extracting set values for each first set value queue and inputting them into the roll gap value response model, sequentially arranging the outputs of the roll gap value response model to obtain a roll gap value response queue; Otherwise, find the queue corresponding to the minimum value from the multiple deviation queues as the global optimal queue; The data in the global optimal queue is subtracted from the roll gap value of the stand to obtain the set value compensation queue.

[0057] In some embodiments, determining a plurality of queue deviations based on the first depression compensation amount queue and the plurality of third depression compensation amount queues includes: Multiple queue deviations are determined according to a fourth formula, the first depression compensation amount queue, and the multiple third depression compensation amount queues, wherein the fourth formula is:

[0058] Where, is the queue bias, The first compression compensation queue data, The third compression compensation queue data, The total amount of data in the first compression compensation queue.

[0059] For example, the stand roll gap has certain response characteristics to the set value. In other words, after the roll gap set value is issued, the stand rolls need a certain amount of time to adjust. Generally, the stand roll gap is adjusted using the PID control method. For each stand, a roll gap response model can be constructed based on the PID control response characteristic curve.

[0060] In order to make the roller gap value respond to the characteristics of the first pressure compensation amount queue, the present invention generates a set value compensation queue according to the roller gap value response model. Specifically, multiple first set value queues are initialized, and the data in these queues are input into the roller gap value response model in sequence. The roller gap value obtained at the next time node is constructed as a roller gap value response queue. For example, the data of the first set value queue are D0~D6 in sequence, and the corresponding set time nodes are T0~T6, which are input into the roller gap value response model. The data of the next time node of the roller gap value response model are arranged to obtain the roller gap value response queue, that is, the data d1~d7 corresponding to the time nodes T1~T7 are constructed as a roller gap value response queue.

[0061] The data of these roll gap value response queues are subtracted from the roll gap value of the stand in turn to obtain the third pressure reduction compensation queue. The deviation of each queue from the first pressure reduction compensation queue is calculated using the formula:

[0062] Where, is the queue bias, The first compression compensation queue data, The third compression compensation queue data, The total amount of data in the first compression compensation queue.

[0063] For each third downpressure compensation amount queue and each first set value queue, there is a corresponding deviation queue. The deviation obtained by the above calculation is added to the deviation queue. Then, each first set value queue is adjusted according to its historical optimal queue and the current global optimal queue. After the adjustment is completed, it returns to the step of inputting into the model to obtain the roller gap value response queue and calculating the queue deviation. After repeating this for a preset number of times, the third downpressure compensation amount queue corresponding to the minimum value is found from multiple deviation queues as the set value compensation queue.

[0064] The implementation method of the steel pipe continuous rolling sharpening parameter optimization method of the present invention first obtains the steel pipe specification and the rough pipe temperature; then, according to the steel pipe specification and the rough pipe temperature, finds the target historical record from the sizing tracking database, and determines a first sharpening compensation queue sorted according to the corresponding steel pipe position based on the target historical record, wherein the sizing size data volatility of the target historical record is better than that of the steel pipes of the same specification in the sizing tracking database; then, for each rack, the rack compensation length and multiple wall thickness compensation amounts are determined according to the first sharpening compensation queue, and according to the rack compensation length, the rack steel pipe outlet speed and the multiple wall thickness compensation amounts, a first pressing down compensation amount queue sorted according to the time node is constructed; finally, for each first pressing down compensation amount queue, according to the response characteristics of the corresponding rack roll gap value to the set value, a set value compensation queue sorted according to the time node is constructed. The embodiment of the present invention determines the wall thickness tapering compensation amount from the sizing steel pipe database, distributes the wall thickness tapering parameters to each frame, and absorbs the wall thickness compensation amount in batches through the frame. Based on the response characteristics of the frame roller, a set value compensation queue is generated. Therefore, it can be ensured that the end of the rough pipe after continuous rolling has the expected tapering parameters, the tapering size control is more accurate, and the yield rate of seamless steel pipe is improved.

[0065] It should be understood that the size of the serial numbers of each step in the above embodiment 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 embodiment of the present invention.

[0066] The following is an embodiment of the device of the present invention. For details not described in detail, please refer to the corresponding method embodiment described above.

[0067] Figure 3 This is a functional block diagram of the steel pipe continuous rolling sharpening parameter optimization device provided by the embodiment of the present invention, referring to Figure 3 The device for optimizing the sharpening parameters of continuous steel pipe rolling includes: a rough pipe parameter acquisition module 301, a sharpening compensation parameter determination module 302, a press-down compensation amount determination module 303, and a set value compensation amount determination module 304, wherein: The rough pipe parameter acquisition module 301 is used to obtain the steel pipe specifications and rough pipe temperature; The sharpening compensation parameter determination module 302 is configured to find target historical records from a sizing tracking database based on the steel pipe specification and the raw pipe temperature, and determine a first sharpening compensation queue sorted by corresponding steel pipe positions based on the target historical records, wherein the sizing dimension data volatility of the target historical records is better than that of steel pipes of the same specification in the sizing tracking database; A depression compensation amount determination module 303 is configured to determine, for each rack, a rack compensation length and multiple wall thickness compensation amounts based on the first tapering compensation queue, and construct a first depression compensation amount queue sorted by time nodes based on the rack compensation length, the rack steel pipe outlet speed, and the multiple wall thickness compensation amounts; The set value compensation amount determination module 304 is used to construct a set value compensation amount queue sorted according to time nodes for each first pressing down compensation amount queue according to the response characteristics of the corresponding stand roll gap value to the set value.

[0068] Figure 4 : is a functional block diagram of an electronic device provided by an embodiment of the present invention. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 400 and a memory 401, wherein the memory 401 stores a computer program 402 that can be run on the processor 400. When the processor 400 executes the computer program 402, the steps in the above-mentioned steel pipe continuous rolling sharpening parameter optimization method and embodiment are implemented, such as Figure 1 Steps 101 to 104 are shown.

[0069] Illustratively, the computer program 402 may be divided into one or more modules / units, and the one or more modules / units are stored in the memory 401 and executed by the processor 400 to implement the present invention.

[0070] The electronic device 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 4 may include, but is not limited to, a processor 400 and a memory 401. Those skilled in the art will understand that Figure 4 It is only an example of the electronic device 4 and does not constitute a limitation of the electronic device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device 4 may also include input and output devices, network access devices, buses, etc.

[0071] The processor 400 may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0072] The memory 401 may be an internal storage unit of the electronic device 4, such as a hard drive or memory of the electronic device 4. The memory 401 may also be an external storage device of the electronic device 4, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. equipped on the electronic device 4. Furthermore, the memory 401 may include both an internal storage unit of the electronic device 4 and an external storage device. The memory 401 is used to store the computer program 402 and other programs and data required by the electronic device 4. The memory 401 may also be used to temporarily store data that has been output or is about to be output.

[0073] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the implementation method can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method implementation method, and will not be repeated here.

[0074] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0075] 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. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0076] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection 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.

[0077] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of this embodiment.

[0078] In addition, the functional units in various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0079] If the integrated module / unit is implemented as 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 present invention can also implement all or part of the processes in the above-mentioned method embodiments by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of the above-mentioned method and device embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium.

[0080] The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A method for optimizing steel pipe continuous rolling sharpening parameters, characterized in that: include: Obtain steel pipe specifications and rough pipe temperature; Finding target historical records from a sizing tracking database based on the steel pipe specification and the rough pipe temperature, and determining a first sharpening compensation queue sorted by corresponding steel pipe positions based on the target historical records, wherein the sizing size data volatility of the target historical records is better than that of steel pipes of the same specification in the sizing tracking database; For each rack, determining a rack compensation length and multiple wall thickness compensation amounts according to the first tapering compensation queue, and constructing a first pressing-down compensation amount queue sorted by time nodes according to the rack compensation length, the rack steel pipe outlet speed, and the multiple wall thickness compensation amounts; For each first pressing compensation amount queue, a set value compensation queue sorted according to time nodes is constructed based on the response characteristics of the corresponding stand roll gap value to the set value.

2. The method for optimizing steel pipe continuous rolling sharpening parameters according to claim 1, characterized in that: The method of finding target historical records from a sizing tracking database according to the steel pipe specification and the waste pipe temperature, and determining a first sharpening compensation queue sorted according to corresponding steel pipe positions according to the target historical records, includes: Finding multiple historical records matching the steel pipe specification and the rough pipe temperature from the sizing tracking database as multiple candidate historical records; The candidate historical records are retrieved from the plurality of candidate historical records in a traversal manner, and the following steps are performed after the retrieval: Calculate the average of multiple measured wall thickness values before sizing and the average of multiple measured wall thickness values after sizing of the middle section of the steel pipe as the average wall thickness before sizing and the average wall thickness after sizing; Determining a tapered compensation section according to the average wall thickness before sizing, wherein a deviation between the actually measured wall thickness data before sizing of the tapered compensation section and the average wall thickness before sizing is greater than a threshold value; Arrange the plurality of pre-sizing measured wall thickness values of the tapered compensation section and the plurality of post-sizing measured wall thickness values of the tapered compensation section according to corresponding positions to obtain a first measured wall thickness queue and a second measured wall thickness queue; Determine the wall thickness uniformity index of the sizing steel pipe according to the second measured wall thickness queue and the average wall thickness after sizing, and add the wall thickness uniformity index of the sizing steel pipe to the index array; If the traversal of the multiple candidate historical records is not completed, jump to the step of traversing and extracting the candidate historical records from the multiple candidate historical records; Otherwise, the candidate historical record corresponding to the smallest index in the index array is used as the target historical record; A first tapering compensation queue is constructed using the first measured wall thickness queue constructed according to the target historical records and the average wall thickness before sizing.

3. The method for optimizing steel pipe continuous rolling sharpening parameters according to claim 2, characterized in that: Determining the wall thickness uniformity index of the sizing steel pipe according to the second measured wall thickness queue and the average wall thickness after sizing includes: The wall thickness uniformity index of the sizing steel pipe is determined according to the first formula, the second measured wall thickness queue, and the average wall thickness after sizing, wherein the first formula is: Where, is the wall thickness uniformity index of the sizing steel pipe, The second measured wall thickness queue data, is the total number of data in the second measured wall thickness queue, It is the average wall thickness after sizing.

4. The method for optimizing steel pipe continuous rolling sharpening parameters according to claim 1, characterized in that: For each rack, determining a rack compensation length and multiple wall thickness compensation amounts according to the first tapering compensation queue, and constructing a first pressing compensation amount queue sorted by time nodes according to the rack compensation length, the rack steel pipe outlet speed, and the multiple wall thickness compensation amounts, including: Acquire multiple wall thickness variation values and multiple roll gap values, wherein each stand corresponds to one wall thickness variation value and one roll gap value; For each rack, perform the following steps: Determining multiple wall thickness compensation amounts based on the first tapered compensation queue and the multiple wall thickness changes, and determining a rack compensation length based on the tapered compensation length corresponding to the first tapered compensation queue, the outlet wall thickness corresponding to the rack, and the multiple wall thickness compensation amounts; Determining a rack sharpening time according to the rack sharpening compensation length and the corresponding exit speed of the rack; Determine multiple rack depression compensation amounts according to the wall thickness variation corresponding to the rack, the roll gap value corresponding to the rack, and the multiple wall thickness compensation amounts, and construct the multiple rack depression compensation amounts into a second depression compensation amount queue; The second depression compensation amount queue is interpolated according to the number of time nodes within the rack sharpening time length to obtain the first depression compensation amount queue.

5. The method for optimizing steel pipe continuous rolling sharpening parameters according to claim 4, characterized in that: The step of determining a plurality of wall thickness compensation amounts according to the first sharpening compensation queue and the plurality of wall thickness changes includes: A plurality of wall thickness compensation amounts are determined according to a second formula, the first sharpening compensation queue, and the plurality of wall thickness changes, wherein the second formula is: Where, For the Rack No. Wall thickness compensation, The first trimming compensation queue data, For the The wall thickness variation of each rack, For the The wall thickness variation of each rack, is the total number of racks; The determining of the rack compensation length according to the tapered compensation length corresponding to the first tapered compensation queue, the outlet wall thickness corresponding to the rack, and the multiple wall thickness compensation amounts includes: The rack compensation length is determined according to a third formula, the tapered compensation length corresponding to the first tapered compensation queue, the outlet wall thickness corresponding to the rack, the multiple wall thickness compensation amounts, the rack outlet steel pipe cross-sectional area, and the final rack outlet steel pipe cross-sectional area, wherein the third formula is: Where, For the Rack compensation length, For the The outlet wall thickness corresponding to each rack is is the total number of multiple wall thickness compensations, is the length of the first sharpening compensation queue corresponding to the sharpening compensation, is the cross-sectional area of the steel pipe at the outlet of the final frame, For the Cross-sectional area of the steel pipe at the rack outlet.

6. The method for optimizing steel pipe continuous rolling sharpening parameters according to any one of claims 1 to 5, characterized in that: For each first pressing down compensation amount queue, according to the response characteristics of the corresponding stand roll gap value to the set value, a set value compensation queue sorted according to time nodes is constructed, including: For each first compression compensation amount queue, perform the following steps respectively: Obtaining a roll gap value response model and a plurality of first set value queues for a corresponding stand, wherein the roll gap value response model outputs a roll gap value queue representing roll gap value fluctuations according to the set value, and the first set value queue is constructed according to a plurality of random numbers generated based on the roll gap value of the stand; For each first set value queue, sequentially extract set values and input them into the roll gap value response model, and sequentially arrange the outputs of the roll gap value response model to obtain a roll gap value response queue; For each roll gap value response queue, the data in the roll gap value response queue is subtracted from the roll gap value of the stand to obtain a third press-down compensation amount queue; determining a plurality of queue deviations according to the first depression compensation amount queue and the plurality of third depression compensation amount queues; Adding the multiple queue deviations to multiple deviation queues respectively, wherein each deviation queue corresponds to a first set value queue; If the number of iterations has not been reached, perform the following steps: For each first set value queue, find a historical queue corresponding to a minimum value from the corresponding deviation queue as a historical optimal queue, find a queue corresponding to a minimum value from the multiple queue deviations as a global optimal queue, adjust the first set value queue according to the historical optimal queue and the global optimal queue, use the adjusted first set value queue as the first set value queue, and jump to the step of sequentially extracting set values for each first set value queue and inputting them into the roll gap value response model, sequentially arranging the outputs of the roll gap value response model to obtain a roll gap value response queue; Otherwise, find the queue corresponding to the minimum value from the multiple deviation queues as the global optimal queue; The data in the global optimal queue is subtracted from the roll gap value of the stand to obtain the set value compensation queue.

7. The method for optimizing steel pipe continuous rolling sharpening parameters according to claim 6, characterized in that: The determining of a plurality of queue deviations according to the first depression compensation amount queue and the plurality of third depression compensation amount queues includes: Multiple queue deviations are determined according to a fourth formula, the first depression compensation amount queue, and the multiple third depression compensation amount queues, wherein the fourth formula is: Where, is the queue bias, The first compression compensation queue data, The third compression compensation queue data, The total amount of data in the first compression compensation queue.

8. A device for optimizing parameters of continuous rolling sharpening of steel pipes, characterized in that: For implementing the method for optimizing the sharpening parameters of steel pipe continuous rolling according to any one of claims 1 to 7, the device for optimizing the sharpening parameters of steel pipe continuous rolling comprises: The rough pipe parameter acquisition module is used to obtain the steel pipe specifications and rough pipe temperature; a sharpening compensation parameter determination module, configured to find target historical records from a sizing tracking database based on the steel pipe specification and the rough pipe temperature, and determine, based on the target historical records, a first sharpening compensation queue sorted by corresponding steel pipe positions, wherein the sizing dimension data volatility of the target historical records is better than that of steel pipes of the same specification in the sizing tracking database; a press-down compensation amount determination module, configured to determine, for each rack, a rack compensation length and a plurality of wall thickness compensation amounts according to the first tapering compensation queue, and construct a first press-down compensation amount queue sorted by time nodes according to the rack compensation length, the rack steel pipe outlet speed, and the plurality of wall thickness compensation amounts; as well as, The set value compensation amount determination module is used to construct a set value compensation queue sorted according to time nodes for each first pressing compensation amount queue based on the response characteristics of the corresponding stand roll gap value to the set value.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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