A strip tail control correction method according to a tail run-out shape

Abstract

The application discloses a strip tail control correction method according to a tail run-off shape, which comprises the following steps: acquiring a run-off amount in a running process of a strip in real time; calculating a width adjustment coefficient and a thickness adjustment coefficient, and determining a run-off gain coefficient; determining a current strip tail shape through a preset strip tail run-off shape identification algorithm, and setting a corresponding run-off shape control coefficient according to a corresponding relationship between the preset strip tail shape and the run-off shape control coefficient and aiming at the current determined strip tail shape; and combining the run-off amount, the width adjustment coefficient, the thickness adjustment coefficient, the run-off shape control coefficient and a preset regulation and control efficacy coefficient to optimize a run-off adjustment value, so as to correct a running track of the strip tail. The strip tail control correction method can improve the strip adjustment accuracy and improve the rolling stability of the strip in the tail throwing process.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of finishing hot continuous rolling, in particular to a strip tail control correction method according to strip tail run-out shape. BACKGROUND

[0002] The steel industry plays an important supporting role in the construction and manufacturing of a country, and provides a solid raw material basis. As "all-purpose steel", strip and plate products have the characteristics of high quality and high added value, and have contributed a very important role to the sustainable, stable and healthy development of the national economy. With the rapid development and high-end transformation of the manufacturing industry, users' requirements for steel quality are increasing, and the quality indicators are also more stringent. The plate shape quality control level has become a key factor in the competitiveness of steel enterprises.

[0003] Hot continuous rolling has reached a high control precision in controlling the convexity and other symmetrical plate shapes, but there are still many deficiencies in non-symmetrical plate shapes. The causes of non-symmetrical plate shapes are complex and diverse, such as wedge-shaped rolled pieces, center line offset of rolled pieces, rolling mill stiffness difference and transverse temperature difference of rolled pieces. These factors make it difficult to establish a control model, and there is currently no relatively mature online control system. For the problem of strip run-out and other non-symmetrical plate shapes, most steel plants still rely on the manual experience of operators, which results in the inaccuracy of run-out control, high randomness of adjustment, and non-uniformity of the scale adjusted by operators, etc. This affects the production efficiency of the finishing mill on site, and the research on strip run-out control needs to continue.

[0004] The existing technology controls the strip run-out mostly by using rolling force feedback control. This control method only controls the run-out by controlling the rolling force difference on both sides of the rolling mill, without considering the tension and the running track of the strip under different strip casting states. The control effect cannot meet the actual demand, and thus is not suitable for continuous control of the strip tail. SUMMARY

[0005] The present application provides a strip tail control correction method according to strip tail run-out shape to solve the technical problem that the existing technology does not consider the tension and the running track of the strip under different strip casting states, the control effect cannot meet the actual demand, and thus is not suitable for continuous control of the strip tail.

[0006] To solve the above technical problems, the present application provides the following technical solutions:

[0007] On one hand, the present application provides a strip tail control correction method according to strip tail run-out shape, which comprises:

[0008] real-time detection of the run-out amount in the running process of the strip;

[0009] The width adjustment coefficient and the thickness adjustment coefficient are calculated, and the run-out gain coefficient is determined;

[0010] The current strip tail shape is determined by a preset strip tail run-out shape identification algorithm, and according to a preset correspondence between the strip tail shape and the run-out shape control coefficient, the corresponding run-out shape control coefficient is set according to the current determined strip tail shape.

[0011] The run-out adjustment value is optimized by combining the run-out amount, the width adjustment coefficient, the thickness adjustment coefficient, the run-out shape control coefficient and the preset control effect coefficient, so as to correct the running track of the strip tail.

[0012] Further, the real-time detection obtains the run-out amount in the running process of the strip, including:

[0013] The strip is detected by a binocular linear array camera installed at the top end of the finishing rolling mill to obtain a strip image.

[0014] The sub-pixel edge detection algorithm is used to detect the strip image to obtain the real-time run-out amount of the strip.

[0015] Further, the calculation formula of the width adjustment coefficient is:

[0016]

[0017] Wherein, K W is the width adjustment coefficient; W SET is the set width of the strip outlet; W MAX is the maximum value of the strip outlet width; W MIN is the minimum value of the strip outlet width; W MAX_COEF is the maximum value of the width adjustment coefficient; W MIN_COEF is the minimum value of the width adjustment coefficient.

[0018] Further, the calculation formula of the thickness adjustment coefficient is:

[0019]

[0020] Wherein, K T is the thickness adjustment coefficient; T SET is the set thickness of the strip outlet; T MAX is the maximum value of the strip outlet thickness; T MIN is the minimum value of the strip outlet thickness; T MAX_COEF is the maximum value of the thickness adjustment coefficient T MIN_COEF is the minimum value of the thickness adjustment coefficient.

[0021] Further, the run-out gain coefficient is obtained according to different biting states and field rolling experience.

[0022] Further, the current strip tail shape is determined by a preset strip tail run-out shape recognition algorithm, comprising:

[0023] The run-out direction is calculated by the formula:

[0024] R i =(D i -D B )×K R , i = 1, 2, 3, 4, 5, 6

[0025] Wherein, R i is the outlet run-out direction of the i th finishing stand; D i is the current run-out value of the i th stand; D B is the run-out reference value; K R is the run-out gain coefficient;

[0026] The run-out change value is calculated by the formula:

[0027]

[0028] Wherein, ΔD i is the run-out change value of the i th stand; D i is the current run-out value of the i th stand; D i_old_1 is the run-out value of the i th stand at the previous time; D i_old_2 is the run-out value of the i th stand at the previous time at the previous time;

[0029] The current strip tail shape is determined; wherein, when R i × ΔD i < 0, it is determined that the strip tail shape is reverse run-out; when R i × ΔD i > 0 and R i < 5, it is determined that the strip tail shape is same direction run-out within 5 mm; when R i × ΔD i > 0 and R i > 5, it is determined that the strip tail shape is same direction run-out beyond 5 mm.

[0030] Further, the corresponding relationship between the strip tail shape and the run-out shape control coefficient is:

[0031] When the strip tail shape is reverse run-out, the run-out shape control coefficient is 0.5;

[0032] When the strip tail shape is same direction run-out within 5 mm, the run-out shape control coefficient is 1

[0033] When the strip tail shape is same direction run-out beyond 5 mm, the run-out shape control coefficient is 1.5.

[0034] Furthermore, the formula for optimizing the deviation adjustment value is as follows:

[0035] ΔS i =K W ×K T ×K D ×K P ×ΔD i i = 1, 2, 3, 4, 5, 6

[0036] Where, ΔS i K is the optimized leveling value for the i-th rack; W K is the width adjustment coefficient. T K is the thickness adjustment coefficient. D K is the shape control coefficient for deviation; P To control the efficiency coefficient, representing the effect of roll gap tilt reduction on the deviation value adjustment, it was obtained through finite element simulation; ΔD i Let represent the deviation change of the i-th rack.

[0037] In another aspect, the present invention also provides an electronic device comprising a processor and a memory; wherein the memory stores at least one instruction, which is loaded and executed by the processor to implement the above-described method.

[0038] In another aspect, the present invention also provides a computer-readable storage medium storing at least one instruction that is loaded and executed by a processor to implement the above-described method.

[0039] The beneficial effects of the technical solution provided by this invention include at least the following:

[0040] The present invention issues corresponding control coefficients based on different tail deviation shapes, thereby correcting the leveling value. This effectively avoids the problem of excessive adjustment caused by different tail shapes, greatly improves the accuracy of the automatic correction control system, and reduces the occurrence of tail failure accidents caused by deviation. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of the execution flow of the strip tail control and correction method based on the strip tail deviation shape provided in the embodiment of the present invention. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0044] First Embodiment

[0045] This embodiment provides a method for controlling and correcting the tail section of a strip based on its tail deviation shape. The application process of this method is illustrated below using an F3 frame as an example. This method can be implemented by electronic equipment, such as a server or terminal. The execution flow of this method is as follows: Figure 1 As shown, it includes the following steps:

[0046] S1, real-time detection and acquisition of the deviation of the strip during the running process;

[0047] Specifically, in this embodiment, S1 is implemented using computer vision technology, and includes:

[0048] S11, the strip steel is inspected by a binocular line array camera installed at the top of the finishing mill to obtain an image of the strip steel;

[0049] S12 uses a subpixel edge detection algorithm to detect the strip image and obtain the real-time deviation of the strip.

[0050] The deviation of the strip steel being inspected, obtained by the communication server at this inspection moment, is:

[0051] D3 = 5.23mm

[0052] The deviation detected at the previous moment was:

[0053] D 3_old_1 =3.47mm

[0054] The deviation detected at the time before the previous time was:

[0055] D 3_old_2 =2.03mm

[0056] S2, calculate the width adjustment coefficient and thickness adjustment coefficient, and determine the deviation gain coefficient;

[0057] The formula for calculating the width adjustment coefficient is as follows:

[0058]

[0059] The formula for calculating the thickness adjustment coefficient is as follows:

[0060]

[0061] Among them, K WK is the width adjustment coefficient, dimensionless, obtained through calculation. T W is the thickness adjustment coefficient, dimensionless, obtained through calculation. SET Set the width for the F7 exit, T SET The thickness is set for the F7 outlet; both units are in mm, and the thickness is obtained via communication PLC. MAX W MIN These are the maximum and minimum width values, in mm, determined according to the specifications of the production line on site. They represent the strip width specifications that the hot strip rolling line can produce, obtained from server communication; T MAX T MIN These are the maximum and minimum thickness values, in mm, determined according to the specifications of the production line on site. They represent the strip thickness specifications that the hot strip rolling line can produce, obtained from server communication; W MAX_COEF W MIN_COEF These are the maximum and minimum values ​​of the width adjustment coefficient, respectively, dimensionless, obtained from the empirical values ​​and weighting coefficient data table for each rack; T MAX_COEF T MIN_COEF These are the maximum and minimum values ​​of the thickness adjustment coefficient, respectively. They are dimensionless and obtained from the empirical values ​​and weighting coefficient data table for each rack.

[0062] The deviation gain coefficient is obtained from on-site rolling experience based on different steel biting conditions.

[0063] The communication PLC sets the outlet width of the inspected strip to 1380mm and the outlet thickness to 3.8mm. The correlation coefficients on site are shown in Table 1.

[0064] Table 1. On-site correlation coefficients

[0065] Variable [WC MAX ]] [WC MIN ]]> [WC MAX_COEF ]]> [WC MIN_COEF ]]> [TECHNICAL FIELD] MAX ]] [TECHNICAL FIELD] MIN ]] [TECHNICAL FIELD] MAX_COEF ]] [TECHNICAL FIELD] MIN_COEF ]] Value 1580 1000 2 1 18 1.5 2 1

[0066] Based on the above data, this embodiment calculates K. W =1.66, K T =1.14.

[0067] S3, determine the current strip tail shape through the preset strip tail deviation shape recognition algorithm, and set the corresponding deviation shape control coefficient according to the preset correspondence between the strip tail shape and the deviation shape control coefficient.

[0068] The current strip tail shape is determined by a preset strip tail deviation shape recognition algorithm, including:

[0069] The formula for calculating the direction of deviation is:

[0070] R i =(D i -DB )×K R i = 1, 2, 3, 4, 5, 6

[0071] Among them, R i The deviation direction at the exit of the i-th finishing mill stand is given in mm and is obtained through calculation; D i The deviation value at the outlet of the i-th rack, in mm, is obtained from the communication server via S1; D B This is the baseline value for deviation, in mm, obtained from the communication server; K R The gain coefficient for the deviation direction is dimensionless and is obtained from on-site rolling experience based on different steel biting conditions.

[0072] The formula for calculating the change in deviation is:

[0073]

[0074] Where, ΔD i The deviation change of the i-th rack, in mm, is calculated; the deviation value of each rack is retrieved every 50ms and stored in the deviation array of each rack, D. i The deviation value of the i-th rack at this moment, in mm, is obtained from the communication server via S1; D i_old_1 The deviation value of the i-th rack at the previous moment is detected, in mm, and obtained from the communication server via S1; D i_old_2 The deviation value detected for the i-th rack at the previous time step is in mm and is obtained from the communication server via S1. It should be noted that after this calculation is completed, the previous deviation value D... i_old_1 Will become D i_old_2 The deviation value D this time i Will become D i_old_1 The deviation value detected next time will become the new deviation value D. i ;

[0075] Based on the above, the current strip tail shape is determined; where, when R i ×ΔD i When R < 0, the shape of the strip tail is determined to be reverse deviation; when R i ×ΔD i >0 and R i When R < 5, determine that the shape of the strip tail is within 5mm of the same direction deviation; when R i ×ΔD i >0 and R i When the value is greater than 5, the shape of the tail section of the strip is determined to be 5mm off-center in the same direction.

[0076] The correspondence between the strip tail shape and the deviation shape control coefficient is shown in Table 2:

[0077] Table 2. Misalignment Shape Control Coefficients

[0078] Runout shape Runout shape control coefficient K D ]] [R i x ΔD i < 0 Reverse runout 0.5 [R i × ΔD i > 0 and R i < 5]]> Co-runout within 5 mm 1 [R i x ΔD i > 0 and R i > 5]]> Co-runout outside 5 mm 1.5

[0079] Where, ΔD i The deviation of each frame is expressed in mm; R i The deviation direction of each stand is given in mm and is calculated using S3; the deviation shape control coefficient is obtained from on-site rolling experience.

[0080] Among them, the baseline deviation value D obtained by the communication server B The deviation direction gain coefficient K is 0.25mm, obtained from on-site rolling experience. R It is 1.18;

[0081] The calculated direction of F3 deviation is:

[0082] R3=(D3-D B )×K R =5.88mm

[0083] The changes in F3 deviation are as follows:

[0084]

[0085] Furthermore, after this calculation is completed, the previous deviation value D 3_old_1 Will become D 3_old_2 This deviation value D3 will become D 3_old_1 The deviation value detected in the next test will become the new deviation value D3.

[0086] Therefore, besides the F3's tail pull shape being 5mm in the same direction, the pull shape control coefficient K... D =1.5.

[0087] S4, by combining deviation amount, width adjustment coefficient, thickness adjustment coefficient, deviation shape control coefficient and preset control efficiency coefficient, optimizes the deviation adjustment value to correct the running trajectory of the strip tail.

[0088] The formula for optimizing the deviation adjustment value is as follows:

[0089] ΔS i =K W ×K T ×K D ×K P ×ΔD i i = 1, 2, 3, 4, 5, 6

[0090] Where, ΔS i K represents the leveling value for the i-th rack misalignment, in mm, obtained through calculation;W K is the width adjustment coefficient. T The thickness adjustment coefficient is used; both are dimensionless and are calculated using S2. K D K is the deviation shape control coefficient, dimensionless, obtained by judging the deviation shape through S3 and combining it with field experience; P To control the efficiency coefficient, dimensionless, representing the effect of roll gap tilt reduction on the deviation value, it is obtained through finite element simulation; ΔD i The deviation of the i-th frame is measured in mm and is calculated by S3.

[0091] In this embodiment, K W =1.66, K T =1.14, K D =1.5, the control coefficient K obtained through finite element simulation. P =0.0026, the deviation change ΔD3 = 2.48mm, so the final calculated deviation leveling value is: ΔS3 = 1.66 × 1.14 × 1.5 × 0.0026 × 2.48 = 0.0183mm.

[0092] The calculated leveling value is sent to the F3 frame, which can correct the running trajectory of the strip tail.

[0093] In summary, this embodiment provides a strip tail control and correction method based on the strip tail deviation shape. Three strip tail deviation shapes are established based on the deviation direction and the amount of deviation change, and three deviation shape control coefficients are set for each shape. Combined with the strip tail direction and on-site rolling experience, the deviation direction of the strip can be quickly determined at the next moment. Through optimized algorithms, timely and accurate judgments can be made on the strip tail rolling, and targeted adjustments can be made, which is beneficial to improving rolling stability and control accuracy. After applying this strip tail control and correction method based on the strip tail deviation shape to the finishing mill automatic deviation correction system of a 1580mm hot strip mill for large-scale industrial application, it achieved very significant control effects. According to daily reports and monthly quality inspection records, the tail deviation rate was reduced by more than 40% after adopting this method.

[0094] Second Embodiment

[0095] This embodiment provides an electronic device, which includes a processor and a memory; wherein the memory stores at least one instruction, which is loaded and executed by the processor to implement the method of the first embodiment.

[0096] The electronic device can vary considerably depending on its configuration or performance, and may include one or more processors (central processing units, CPUs) and one or more memories, wherein the memories store at least one instruction that is loaded by the processor and executed in accordance with the above method.

[0097] Third Embodiment

[0098] This embodiment provides a computer-readable storage medium storing at least one instruction, which is loaded and executed by a processor to implement the method of the first embodiment described above. The computer-readable storage medium may be a ROM, random access memory, CD-ROM, magnetic tape, floppy disk, or optical data storage device, etc. The instruction stored therein can be loaded and executed by a processor in a terminal.

[0099] Furthermore, it should be noted that the present invention can be provided as a method, apparatus, or computer program product. Therefore, embodiments of the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0100] Embodiments of the present invention are described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0101] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing terminal equipment to cause a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0102] It should also be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0103] Finally, it should be noted that the above description represents a preferred embodiment of the present invention. It should be pointed out that although preferred embodiments have been described, those skilled in the art, once they understand the basic inventive concept of the present invention, can make various improvements and modifications without departing from the principles described herein. These improvements and modifications should also be considered within the scope of protection of the present invention. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present invention.

Claims

1. A method for controlling and correcting the tail section of a strip steel based on its tail deviation shape, characterized in that, include: Real-time detection and acquisition of strip deviation during operation; Calculate the width adjustment coefficient and thickness adjustment coefficient, and determine the deviation gain coefficient; The current strip tail shape is determined by a preset strip tail deviation shape recognition algorithm, and the corresponding deviation shape control coefficient is set according to the preset correspondence between the strip tail shape and the deviation shape control coefficient. By combining deviation amount, width adjustment coefficient, thickness adjustment coefficient, deviation shape control coefficient and preset control efficiency coefficient, the deviation adjustment value is optimized to correct the running trajectory of the strip tail. The current shape of the strip tail is determined by a preset strip tail deviation shape recognition algorithm, including: The formula for calculating the direction of deviation is: R i =(D i -D B )×K R ,i=1,2,3,4,5,6 Among them, R i D represents the exit deviation direction of the i-th finishing mill stand; i D represents the deviation of the i-th rack at the current moment; B K is the baseline value for deviation; R This is the deviation gain coefficient; The formula for calculating the change in deviation is: Where, ΔD i D represents the change in gear misalignment for the i-th rack. i D represents the deviation of the i-th rack at the current moment; i_old_1 D represents the deviation of the i-th rack at the previous moment; i_old_2 Let $i$ be the deviation of the $i$ rack at the previous time step. Determine the current strip tail shape; where, when R i ×ΔD i When R < 0, the shape of the strip tail is determined to be reverse deviation; when R i ×ΔD i >0 and R i When R < 5, determine that the shape of the strip tail is within 5mm of the same direction deviation; when R i ×ΔD i >0 and R i When the value is greater than 5, the shape of the strip tail is determined to be deviated by more than 5mm in the same direction; The correspondence between the strip tail shape and the deviation shape control coefficient is as follows: When the tail of the strip deviates in the opposite direction, the deviation shape control coefficient is 0.5; When the shape of the strip tail is within 5mm of the same direction deviation, the deviation shape control coefficient is 1; When the strip tail shape deviates by more than 5mm in the same direction, the deviation shape control coefficient is 1.5; The formula for optimizing the deviation adjustment value is: ΔS i =K W ×K T ×K D ×K P ×ΔD i ,i=1,2,3,4,5,6 Where, ΔS i K is the optimized leveling value for the i-th rack; W K is the width adjustment coefficient. T K is the thickness adjustment coefficient. D K is the shape control coefficient for deviation; P To control the efficiency coefficient, representing the effect of roll gap tilt reduction on the deviation value adjustment, it was obtained through finite element simulation; ΔD i Let represent the deviation change of the i-th rack.

2. The method for controlling and correcting the tail section of a strip based on its tail deviation shape as described in claim 1, characterized in that, The real-time detection of strip deviation during operation includes: The strip steel is inspected by a binocular line array camera installed at the top of the finishing mill to obtain an image of the strip steel; A subpixel edge detection algorithm is used to detect the strip image and obtain the real-time deviation of the strip.

3. The method for controlling and correcting the tail section of a strip based on its tail deviation shape as described in claim 1, characterized in that, The formula for calculating the width adjustment coefficient is as follows: Among them, K W W is the width adjustment factor. SET Set the width for the strip exit; W MAX W represents the maximum width of the strip exit. MIN W represents the minimum width of the strip exit. MAX_COEF W is the maximum value of the width adjustment coefficient. MIN_COEF The minimum value of the width adjustment coefficient.

4. The method for controlling and correcting the tail section of a strip based on its tail deviation shape as described in claim 1, characterized in that, The formula for calculating the thickness adjustment coefficient is as follows: Among them, K T T is the thickness adjustment coefficient; SET Set the thickness for the strip exit; T MAX T represents the maximum thickness of the strip at the exit point. MIN T represents the minimum thickness of the strip at the exit point. MAX_COEF T is the maximum value of the thickness adjustment coefficient. MIN_COEF This is the minimum value of the thickness adjustment coefficient.

5. The method for controlling and correcting the tail section of a strip based on its tail deviation shape as described in claim 1, characterized in that, The deviation gain coefficient is obtained from on-site rolling experience based on different steel biting conditions.

Images