A speed regulation method, system, device and medium for a tandem cold rolling mill

Abstract

The present application relates to a speed regulation method, system, device and medium for a tandem cold rolling mill. The speed regulation method for the tandem cold rolling mill includes obtaining the real-time operation parameters and production product parameters of the tandem cold rolling mill, evaluating the operation state of the tandem cold rolling mill according to the real-time operation parameters and production product parameters, and when the operation state of the tandem cold rolling mill cannot meet the operation conditions, using a multi-dimensional dynamic optimization algorithm to optimize the real-time operation parameters of the tandem cold rolling mill. The present application realizes the automatic adjustment of the speed of the tandem cold rolling mill, thereby improving the production stability and production efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of blast furnace production, and specifically relates to a speed regulation method, system, equipment and medium for an acid rolling tandem mill. Background Art

[0002] Cold-rolled strip steel has the advantages of small specifications, high rolling accuracy, good surface quality, good performance, many varieties and wide applications. Therefore, the cold rolling process has been continuously developed, evolving from the initial stack rolling production process to an acid rolling tandem mill or even an acid rolling tandem + online continuous annealing production process.

[0003] The acid rolling tandem mill is one of the most advanced process units for rolling cold-rolled thin sheets in the world today. To ensure the smooth and stable operation of the acid rolling tandem mill, in addition to setting reasonable initial speeds according to different steel types and specifications in production, it is also necessary to adjust the speed distribution of the entry section, pickling section, slitting shear section and rolling mill section in real time during production to ensure stable and efficient production. For a long time, this part of the real-time adjustment work has relied heavily on the experience of operators for manual adjustment. However, manual adjustment requires high experience and concentration of operators, and it is difficult to ensure the stability of production speed, especially the speed of the pickling section, and the maximization of production efficiency. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the present application provides a speed regulation method, system, equipment and medium for an acid rolling tandem mill to solve the technical problems that manual adjustment of the speed of the acid rolling tandem mill requires high experience and concentration of operators, and it is difficult to ensure the stability of production speed, especially the speed of the pickling section, and the maximization of production efficiency.

[0005] To achieve the above object, in the first aspect, the present application provides a speed regulation method for an acid rolling tandem mill, and the speed regulation method for the acid rolling tandem mill includes:

[0006] Obtain the real-time operation parameters and production product parameters of the acid rolling tandem mill;

[0007] Evaluate the operation state of the acid rolling tandem mill according to the real-time operation parameters and production product parameters. When the operation state of the acid rolling tandem mill does not meet the operation conditions, use a multi-dimensional dynamic optimization algorithm to optimize the real-time operation parameters of the acid rolling tandem mill.

[0008] In an exemplary embodiment of the present application, evaluating the operation state of the acid rolling tandem mill according to the real-time operation parameters and production product parameters includes:

[0009] Determine a speed score according to the speed, preset speed upper limit threshold and preset speed lower limit threshold in the production product parameters;

[0010] Determine a height score according to the height of the loop between adjacent processes in the production product parameters, a preset first height upper limit threshold, a preset second height threshold, and a preset height lower limit threshold, where the preset first height upper limit threshold is greater than the preset second height threshold;

[0011] Determine a speed - times score according to the speeds at adjacent time points in the production product parameters, the process where the weld of the billet is located at adjacent time points, a first preset number upper limit threshold, and a first preset number lower limit threshold;

[0012] Determine a height - times score according to the height of the loop between adjacent processes at adjacent time points in the production product parameters, a preset second number upper limit threshold, and a preset second number lower limit threshold;

[0013] Determine a speed amplitude score based on the speeds at adjacent time points in the production product parameters, the process where the weld of the billet is located at adjacent time points, a preset speed amplitude upper limit threshold, and a preset speed amplitude lower limit threshold;

[0014] Determine a height amplitude score based on the height of the loop between the adjacent processes at adjacent time points in the production product parameters, a preset height amplitude upper limit threshold, and a preset height amplitude lower limit threshold;

[0015] Determine the real - time operation score of the tandem cold rolling unit based on the speed scores, height scores, speed - times scores, height - times scores, speed amplitude scores, and height amplitude scores at all time points within a preset future duration;

[0016] When the real - time operation score is lower than the score threshold, the operation state of the tandem cold rolling unit does not meet the operation conditions.

[0017] In an exemplary embodiment of the present application, determining the real - time operation score of the tandem cold rolling unit based on the speed scores, height scores, speed - times scores, height - times scores, speed amplitude scores, and height amplitude scores at all time points within a preset future duration includes:

[0018] Determine the real - time operation score of the tandem cold rolling unit based on the speed scores, height scores, speed - times scores, height - times scores, speed amplitude scores, height amplitude scores, a preset speed score weight, a preset height score weight, a preset speed score weight, a preset height score weight, a preset speed amplitude score weight, and a preset height amplitude score weight at all time points within a preset future duration.

[0019] In an exemplary embodiment of the present application, optimizing the real - time operation parameters of the tandem cold rolling unit by using a multi - dimensional dynamic optimization algorithm includes:

[0020] Obtain the initial speed setting parameters of the tandem cold rolling unit;

[0021] Based on the initial speed setting parameters, with the maximization of the real-time operation score of the tandem cold rolling unit as the objective function, a multi-dimensional dynamic optimization algorithm is used for optimization to obtain the optimal speed distribution value of the tandem cold rolling unit.

[0022] In an exemplary embodiment of the present application, obtaining the initial speed setting parameters of the tandem cold rolling unit includes:

[0023] Obtaining the raw material specification parameters and the finished product specification parameters of the target finished product in the production product parameters;

[0024] According to the preset mapping relationship among the finished product specification parameters, the raw material specification parameters and the initial speed setting parameters, the raw material specification parameters and the finished product specification parameters, determine the initial speed setting parameters of the tandem cold rolling unit.

[0025] In an exemplary embodiment of the present application, the method for adjusting the speed of the tandem cold rolling unit further includes: regularly re-evaluating the operation state of the tandem cold rolling unit.

[0026] In a second aspect, the present application provides a speed adjustment system for a tandem cold rolling unit, and the speed adjustment system for the tandem cold rolling unit includes

[0027] A data acquisition module, configured to acquire the real-time operation parameters and production product parameters of the tandem cold rolling unit;

[0028] A state evaluation module, configured to evaluate the operation state of the tandem cold rolling unit according to the real-time operation parameters and production product parameters;

[0029] A parameter optimization module, when the operation state of the tandem cold rolling unit does not meet the operation conditions, is configured to optimize the real-time operation parameters of the tandem cold rolling unit by using a multi-dimensional dynamic optimization algorithm.

[0030] In a third aspect, the present application provides an electronic device, and the electronic device includes:

[0031] One or more processors;

[0032] A storage device, configured to store one or more programs, and when the one or more programs are executed by the one or more processors, enable the electronic device to implement the method for adjusting the speed of the tandem cold rolling unit as described above.

[0033] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor of a computer, enable the computer to execute the method for adjusting the speed of the tandem cold rolling unit as described above.

[0034] The speed regulation method, system, electronic device and storage medium of the tandem cold rolling mill unit of the present application have the following

[0035] Beneficial effects:

[0036] By obtaining the real-time operation parameters and production product parameters of the tandem cold rolling mill unit, evaluating the operation state of the tandem cold rolling mill unit according to the real-time operation parameters and production product parameters, and when the operation state of the tandem cold rolling mill unit cannot meet the operation conditions, using a multi-dimensional dynamic optimization algorithm to optimize the real-time operation parameters of the tandem cold rolling mill unit, thereby realizing the automatic adjustment of the speed of the tandem cold rolling mill unit to improve production stability and production efficiency.

[0037] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application. Obviously, the drawings in the following description are only some embodiments of the present application, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts. In the drawings:

[0039] Figure 1 is a flowchart of the speed regulation method of the tandem cold rolling mill unit shown in an exemplary embodiment of the present application;

[0040] Figure 2 is Figure 1 a flowchart of evaluating the operation state of the tandem cold rolling mill unit according to the real-time operation parameters and production product parameters in the shown embodiment in an exemplary embodiment;

[0041] Figure 3 is Figure 1 a flowchart of optimizing the real-time operation parameters of the tandem cold rolling mill unit using a multi-dimensional dynamic optimization algorithm in the shown embodiment in an exemplary embodiment;

[0042] Figure 4 is Figure 3 a flowchart of obtaining the initial speed setting parameters of the tandem cold rolling mill unit in the shown embodiment in an exemplary embodiment;

[0043] Figure 5 is a flowchart of the speed regulation method of the tandem cold rolling mill unit shown in another exemplary embodiment of the present application;

[0044] Figure 6 is a flowchart of the speed regulation method of the tandem cold rolling mill unit shown in a specific embodiment;

[0045] Figure 7 The block diagram of the speed regulation system of the tandem cold rolling unit shown for an exemplary embodiment of the present application. Detailed implementation manners

[0046] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed according to different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for explaining the present invention, rather than for limiting the protection scope of the present invention.

[0047] It should be noted that the drawings provided in the following embodiments only schematically illustrate the basic concept of the present invention. Therefore, only the components related to the present invention are shown in the drawings, rather than being drawn according to the number, shape and size of the components in actual implementation. The type, quantity and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0048] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0049] Please refer to Figure 1 , Figure 1 The flowchart of the speed regulation method of the tandem cold rolling unit shown for an exemplary embodiment of the present application. The speed regulation method of the tandem cold rolling unit is used to regulate the speed of the tandem cold rolling unit to solve the technical problems that manual adjustment of the speed of the tandem cold rolling unit requires high experience and concentration of operators, and it is difficult to ensure the stability of the production speed, especially the speed of the pickling section, and the maximization of production efficiency.

[0050] As Figure 1 shown, in an exemplary embodiment of the present application, the speed regulation method of the tandem cold rolling unit at least includes steps S110 to S130, which are introduced in detail as follows:

[0051] Step S110. Obtain the real-time operation parameters and production product parameters of the tandem cold rolling unit;

[0052] Step S120. Evaluate the operation state of the tandem cold rolling unit according to the real-time operation parameters and production product parameters;

[0053] Step S130. When the operating state of the tandem cold rolling unit cannot meet the operating conditions, a multi-dimensional dynamic optimization algorithm is used to optimize the real-time operating parameters of the tandem cold rolling unit.

[0054] In the related art, manual adjustment is used for the speed of the tandem cold rolling unit. After analyzing the related art, the inventors found that manual adjustment of the speed of the tandem cold rolling unit requires high experience and concentration of the operator, and it is difficult to ensure the stability of the production speed, especially the speed of the pickling section, and the maximization of production efficiency. Therefore, the inventors considered obtaining the real-time operating parameters and production product parameters of the tandem cold rolling unit, evaluating the operating state of the tandem cold rolling unit according to the real-time operating parameters and production product parameters, and when the operating state of the tandem cold rolling unit cannot meet the operating conditions, using a multi-dimensional dynamic optimization algorithm to optimize the real-time operating parameters of the tandem cold rolling unit, so as to realize the automatic adjustment of the speed of the tandem cold rolling unit and improve production stability and production efficiency.

[0055] Please refer to Figure 2 , Figure 2 For Figure 1 the flowchart of evaluating the operating state of the tandem cold rolling unit according to the real-time operating parameters and production product parameters in the shown embodiment in an exemplary embodiment.

[0056] As Figure 2 shown, in an exemplary embodiment of the present application, Figure 1 the process of evaluating the operating state of the tandem cold rolling unit according to the real-time operating parameters and production product parameters in the shown embodiment includes steps S210 to S280, which are introduced in detail as follows:

[0057] Step S210. Determine the speed score according to the speed, preset speed upper limit threshold, and preset speed lower limit threshold in the production product parameters;

[0058] Specifically, the speed score is determined according to formula (I):

[0059]

[0060] where score 1 (t k ) is the speed score at the kth time point, v z (t k ) is the speed at the kth time point, with the unit of m / s; min(v z ) is the preset speed lower limit threshold, with the unit of m / s; max(v z ) is the preset speed upper limit threshold, with the unit of m / s.

[0061] Step S220. Determine a height score according to the height of the loop between adjacent processes in the production product parameters, a preset first height upper limit threshold, a preset second height threshold, and a preset height lower limit threshold;

[0062] It should be noted that the preset first height upper limit threshold is greater than the preset second height threshold;

[0063] Specifically, determine the height score according to formula (II):

[0064]

[0065] where score 2i (t k ) is the height score of the i-th loop at the k-th time point, l i is the height of the i-th loop at the k-th time point, with the unit of m; l islow_up is the preset second height threshold, with the unit of m; l istop_down is the preset height lower limit threshold, with the unit of m; l istop_up is the preset first height threshold, with the unit of m.

[0066] Step S230. Determine a speed and number score according to the speed between adjacent time points in the production product parameters, the process where the weld of the steel billet is located at adjacent time points, a first preset number upper limit threshold, and a first preset number lower limit threshold;

[0067] Specifically, determine the speed and number score according to formula (III):

[0068]

[0069] where score 4s (t k ) is the speed and number score at the k-th time point; min(sumcount s (t k )) is the preset first number lower limit threshold, with the unit of times; max(sumcount s (t k )) is the preset speed and number upper limit threshold, with the unit of times;

[0070] sumcount s (t k ) is the number of speed adjustments at the k-th time point, with the unit of times,

[0071]

[0072] where loc i5 (t k ) is the position where the weld of the i-th steel billet is located at the k-th time point, loci5 (t k-1 ) is the position of the weld of the i-th billet at the (k - 1)-th time point. The position of the weld is determined according to the preset mapping relationship between the process where the weld is located and the position points (for example, the first process is defined as 1, the second process is defined as 2, the third process is defined as 3, and so on).

[0073]

[0074] Among them, range s (t k ) = |v sset (t k ) - v sset (t k-1 )| (VI);

[0075] v sset (t k ) and v sset (t k-1 ) are the pickling speeds at the k-th time point and the (k - 1)-th time point respectively (taking pickling as an example), and the unit is m / s;

[0076] Step S240. Determine the height times score according to the height of the loop between adjacent processes at adjacent time points in the production product parameters, the preset second number upper limit threshold, and the preset second number lower limit threshold;

[0077] Specifically, the method of the height times score is similar to that of the above speed times score, only replacing the speed with the corresponding height;

[0078] Step S250. Determine the speed amplitude score based on the speed at adjacent time points in the production product parameters, the process where the weld of the billet is located at adjacent time points, the preset speed amplitude upper limit threshold, and the preset speed amplitude lower limit threshold;

[0079]

[0080] Among them, score 3s (t k ) is the speed amplitude score at the k-th time point, min(sumrange s (t k )) is the preset speed amplitude lower limit threshold, and the unit is m / s; max(sumrange s (t k )) is the preset speed amplitude upper limit threshold, and the unit is m / s; sumrange s (t k ) is the speed adjustment amplitude at k time points, and the unit is m / s;

[0081]

[0082] Among them, range s (t k ) = |v sset (t k ) - v sset (t k-1 )| (VI);

[0083] v sset (t k ) and v sset (t k-1 ) are the pickling speeds at the k-th time point and the (k - 1)-th time point respectively (taking pickling as an example), with the unit of m / s.

[0084] Step S260. Based on the height of the loop between the adjacent processes, the upper threshold value of the preset height range, and the lower threshold value of the preset height range among the production product parameters at adjacent time points, determine the height range score;

[0085] Specifically, the determination method of the height range score is similar to the determination method of the above speed range score, only replacing the speed with the corresponding height.

[0086] Step S270. Based on the speed scores, height scores, speed frequency scores, height frequency scores, speed range scores, and height range scores at all time points within a future preset time duration, determine the real-time operation score of the tandem cold rolling unit;

[0087] Specifically, based on the speed scores, height scores, speed frequency scores, height frequency scores, speed range scores, height range scores, preset speed score weights, preset height score weights, preset speed score weights, preset height score weights, preset speed range score weights, and preset height range score weights at all time points within a future preset time duration, determine the real-time operation score of the tandem cold rolling unit according to Equation (IV);

[0088]

[0089] Among them, score is the real-time operation score, a, b, c, d, e, e, f are the preset speed score weight, preset height score weight, preset speed frequency score weight, preset height frequency score weight, preset speed range score weight, and preset height range score weight respectively, score 1 (t k ) is the speed score at the k-th time point, score 2 (t k )) is the height score of the i-th loop at the k-th time point, score 3s is the speed range score, score3z is the height amplitude score, score 4s is the speed frequency score, score 4z is the height frequency score.

[0090] Step S280. When the real-time operation score is lower than the score threshold, the operation state of the tandem cold rolling unit cannot meet the operation conditions.

[0091] Please refer to Figure 3 , Figure 3 is Figure 1 the flowchart in an exemplary embodiment of optimizing the real-time operation parameters of the tandem cold rolling unit by using a multi-dimensional dynamic optimization algorithm in the embodiment shown.

[0092] As Figure 3 shown, in an exemplary embodiment of the present application, Figure 3 is Figure 1 the process of the flowchart in an exemplary embodiment of optimizing the real-time operation parameters of the tandem cold rolling unit by using a multi-dimensional dynamic optimization algorithm in the embodiment shown includes steps S310 to S320, which are introduced in detail as follows:

[0093] Step S310. Obtain the initial speed setting parameters of the tandem cold rolling unit;

[0094] Step S320. Based on the initial speed setting parameters, with the maximization of the real-time operation score of the tandem cold rolling unit as the objective function, use a multi-dimensional dynamic optimization algorithm for optimization to obtain the optimal speed distribution value of the tandem cold rolling unit.

[0095] Please refer to Figure 4 , Figure 4 is Figure 3 the flowchart in an exemplary embodiment of obtaining the initial speed setting parameters of the tandem cold rolling unit in the embodiment shown.

[0096] As Figure 4 shown, in an exemplary embodiment of the present application, Figure 3 the process of obtaining the initial speed setting parameters of the tandem cold rolling unit in the embodiment shown includes steps S410 to S420, which are introduced in detail as follows:

[0097] Step S410. Obtain the raw material specification parameters and the finished product specification parameters of the target finished product in the production product parameters;

[0098] Step S420. Determine the initial speed setting parameters of the tandem cold rolling unit according to the preset mapping relationship, raw material specification parameters, and finished product specification parameters between the finished product specification parameters, raw material specification parameters, and the initial speed setting parameters.

[0099] The preset mapping relationship among the finished product specification parameters, raw material specification parameters, and initial speed setting parameters includes the finished product specification parameters, raw material specification parameters, and initial speed setting parameters, and is used to determine the initial speed setting parameters based on the mapping relationship among the three.

[0100] Please refer to Figure 5 , Figure 5 which is a flowchart of the speed regulation method for the acid rolling tandem mill shown in another exemplary embodiment of the present application.

[0101] As Figure 5 shown, in another exemplary embodiment of the present application, the speed regulation method for the acid rolling tandem mill further includes step S540, which is introduced in detail as follows:

[0102] Step S540. Re-evaluate the operating state of the acid rolling tandem mill at regular intervals.

[0103] Please refer to Figure 6 , Figure 6 which is a flowchart of the speed regulation method for the acid rolling tandem mill shown in a specific embodiment.

[0104] As Figure 6 shown, in a specific embodiment, the steps of the speed regulation method for the acid rolling tandem mill are as follows:

[0105] Obtain the raw material specification parameters and the finished product specification parameters of the target finished product in the production product parameters;

[0106] Determine the initial speed setting parameters of the acid rolling tandem mill according to the preset mapping relationship, raw material specification parameters, and finished product specification parameters among the finished product specification parameters, raw material specification parameters, and initial speed setting parameters;

[0107] Determine the speed score according to the speed, preset speed upper limit threshold, and preset speed lower limit threshold in the production product parameters;

[0108] Specifically, determine the speed score according to formula (I):

[0109]

[0110] where score 1 (t k ) is the speed score at the kth time point (k≥2), v z (t k ) is the speed at the kth time point, with the unit of m / s; min(v z ) is the preset speed lower limit threshold, with the unit of m / s; max(v z ) is the preset speed upper limit threshold, with the unit of m / s.

[0111] According to the height of the loop between adjacent processes in the production product parameters, the preset first height upper limit threshold, the preset second height threshold, and the preset height lower limit threshold, determine the height score according to formula (II), where the preset first height upper limit threshold is greater than the preset second height threshold;

[0112]

[0113] where score 2i (t k ) is the height score of the i-th loop at the k-th time point, l i is the height of the i-th loop at the k-th time point, in m; l islow_up is the preset second height threshold, in m; l istop_down is the preset height lower limit threshold, in m; l istop_up is the preset first height threshold, in m.

[0114] According to the speed between adjacent time points, the process where the weld of the billet is located at the adjacent time point, the first preset number upper limit threshold, and the first preset number lower limit threshold in the production product parameters, determine the speed number score according to formula (III):

[0115]

[0116] where score 4s (t k ) is the speed number score at the k-th time point; min(sumcount s (t k )) is the preset first number lower limit threshold, in times; max(sumcount s (t k )) is the preset speed number upper limit threshold, in times;

[0117] sumcount s (t k ) is the number of speed adjustments at the k-th time point, in times,

[0118]

[0119] where loc i5 (t k ) is the position where the weld of the i-th billet is located at the k-th time point, loc i5 (t k-1 ) is the position where the weld of the i-th billet is located at the (k - 1)-th time point, and the position where the weld is located is determined according to the preset mapping relationship between the process where the weld is located and the position points (for example, the first process is defined as 1, the second process is defined as 2, the third process is defined as 3, and so on);

[0120]

[0121] Among them, range s (t k ) = |v sset (t k ) - v sset (t k-1 )| (VI);

[0122] v sset (t k ) and v sset (t k-1 ) are the pickling speeds at the k-th time point and the (k - 1)-th time point respectively (taking pickling as an example), with the unit of m / s;

[0123] Determine the height - times score according to the height of the loop between adjacent processes at adjacent time points in the production product parameters, the preset second - time upper - limit threshold, and the preset second - time lower - limit threshold; specifically, the height - times score is similar to the above - mentioned speed - times score method, only replacing the speed with the corresponding height;

[0124] Determine the speed - amplitude score based on the speed at adjacent time points in the production product parameters, the process where the weld of the steel billet is located at adjacent time points, the preset speed - amplitude upper - limit threshold, and the preset speed - amplitude lower - limit threshold;

[0125]

[0126] Among them, score 3s (t k ) is the speed - amplitude score at the k - th time point, min(sumrange s (t k )) is the preset speed - amplitude lower - limit threshold, with the unit of m / s; max(sumrange s (t k )) is the preset speed - amplitude upper - limit threshold, with the unit of m / s; sumrange s (t k ) is the speed adjustment amplitude at the k - th time point, with the unit of m / s;

[0127]

[0128] Among them, range s (t k ) = |v sset (t k ) - v sset (t k-1 )| (VI);

[0129] vsset (t k ) and v sset (t k-1 ) are the pickling speeds at the k-th time point and the (k - 1)-th time point (taking pickling as an example), with the unit of m / s;

[0130]

[0131] where range s (t k ) = |v sset (t k ) - v sset (t k-1 )| (VI);

[0132] v sset (t k ) and v sset (t k-1 ) are the pickling speeds at the k-th time point and the (k - 1)-th time point (taking pickling as an example), with the unit of m / s.

[0133] Based on the height of the loop between the adjacent processes, the upper threshold value of the preset height range, and the lower threshold value of the preset height range among the adjacent time points in the production product parameters, determine the height range score; specifically, the determination method of the height range score is similar to the determination method of the above speed range score, only replacing the speed with the corresponding height.

[0134] Based on the speed scores, height scores, speed frequency scores, height frequency scores, speed range scores, height range scores, preset speed score weights, preset height score weights, preset speed score weights, preset height score weights, preset speed range score weights, and preset height range score weights at all time points within the future preset duration, determine the real-time operation score of the tandem cold rolling unit according to Equation (IV);

[0135]

[0136] where,

[0137] score

[0138] is

[0139] the real-time operation score, a, b, c, d, e, e, f are the preset speed score weight, preset height score weight, preset speed frequency score weight, preset height frequency score weight, preset speed range score weight, and preset height range score weight respectively, score 1 (t k ) is the speed score at the k-th time point, score 2 (t k)) is the height score of the i-th loop at the k-th time point, score 3s is the speed amplitude score, score 3z is the height amplitude score, score 4s is the speed frequency score, score 4z is the height frequency score.

[0140] When the real-time operation score is lower than the score threshold, the operation state of the tandem cold rolling mill cannot meet the operation conditions;

[0141] Based on the initial speed setting parameters, with the maximization of the real-time operation score of the tandem cold rolling mill as the objective function, a multi-dimensional dynamic optimization algorithm is used for optimization to obtain the optimal speed distribution value of the tandem cold rolling mill, that is, solve with the maximization of the real-time operation score as the objective function to obtain the speed, and this speed should be within the range formed by the upper and lower limit thresholds.

[0142] Please refer to Figure 7 , this application embodiment also provides a speed regulation system M700 for a tandem cold rolling mill. The speed regulation system M700 for the tandem cold rolling mill includes:

[0143] A data acquisition module M710, configured to acquire the real-time operation parameters and production product parameters of the tandem cold rolling mill;

[0144] A state evaluation module M720, configured to evaluate the operation state of the tandem cold rolling mill according to the real-time operation parameters and production product parameters;

[0145] A parameter optimization module M730, when the operation state of the tandem cold rolling mill cannot meet the operation conditions, is configured to optimize the real-time operation parameters of the tandem cold rolling mill by using a multi-dimensional dynamic optimization algorithm.

[0146] In this embodiment, the speed regulation system for the tandem cold rolling mill essentially sets several modules to execute the speed regulation method of the tandem cold rolling mill in the above embodiment to realize the automatic regulation of the speed of the tandem cold rolling mill.

[0147] On the other hand, this application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor of the computer, it causes the computer to execute the speed regulation method of the tandem cold rolling mill as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist alone without being assembled into the electronic device.

[0148] On the other hand, this application also provides a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the acid rolling tandem mill speed regulation method provided in each of the above embodiments.

[0149] It should be noted that the computer-readable medium shown in the embodiments of this application may be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable computer program is carried. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program included on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0150] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. Among them, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above-mentioned module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order from that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, as well as the combination of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0151] The units involved in the embodiments described in the present application can be implemented in software or in hardware, and the described units can also be provided in a processor. Among them, the names of these units do not, in some cases, constitute a limitation on the unit itself.

[0152] The above embodiments are only used to exemplarily illustrate the principles and effects of the present invention, rather than to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A speed regulation method for a tandem cold rolling mill Characterized in that The speed regulation method for the tandem cold rolling mill includes: Obtaining the real-time operation parameters and production product parameters of the tandem cold rolling mill; Evaluating the operation state of the tandem cold rolling mill according to the real-time operation parameters and production product parameters, including: Determining a speed score according to the speed, preset speed upper limit threshold and preset speed lower limit threshold in the production product parameters; Determining a height score according to the height of the loop between adjacent processes, preset first height upper limit threshold, preset second height threshold and preset height lower limit threshold in the production product parameters, where the preset first height upper limit threshold is greater than the preset second height threshold; Determining a speed times score according to the speed at adjacent time points, the process where the weld of the billet is located at adjacent time points, the first preset number upper limit threshold and the first preset number lower limit threshold in the production product parameters; Determining a height times score according to the height of the loop between the adjacent processes at adjacent time points, the preset second number upper limit threshold and the preset second number lower limit threshold in the production product parameters; Determining a speed amplitude score based on the speed at adjacent time points, the process where the weld of the billet is located at adjacent time points, the preset speed amplitude upper limit threshold and the preset speed amplitude lower limit threshold in the production product parameters; Determining a height amplitude score based on the height of the loop between the adjacent processes at adjacent time points, the preset height amplitude upper limit threshold and the preset height amplitude lower limit threshold in the production product parameters; Determining the real-time operation score of the tandem cold rolling mill based on the speed score, height score, speed times score, height times score, speed amplitude score and height amplitude score at all time points within a preset future duration; When the real-time operation score is lower than the score threshold, the operation state of the tandem cold rolling mill cannot meet the operation conditions; When the operation state of the tandem cold rolling mill cannot meet the operation conditions, a multi-dimensional dynamic optimization algorithm is used to optimize the real-time operation parameters of the tandem cold rolling mill.

2. The speed regulation method for the tandem cold rolling mill according to claim 1, Characterized in that Determining the real-time operation score of the tandem cold rolling mill based on the speed score, height score, speed times score, height times score, speed amplitude score and height amplitude score at all time points within a preset future duration, including: Determining the real-time operation score of the tandem cold rolling mill based on the speed score, height score, speed times score, height times score, speed amplitude score, height amplitude score, preset speed score weight, preset height score weight, preset speed score weight, preset height score weight, preset speed amplitude score weight and preset height amplitude score weight at all time points within a preset future duration.

3. The speed regulation method for the tandem cold rolling mill according to claim 1, Characterized in that Using a multi-dimensional dynamic optimization algorithm to optimize the real-time operation parameters of the tandem cold rolling mill, including: Obtaining the initial speed setting parameters of the tandem cold rolling mill; Based on the initial speed setting parameters, with the maximization of the real-time operation score of the tandem cold rolling unit as the objective function, a multi-dimensional dynamic optimization algorithm is used for optimization to obtain the optimal speed distribution value of the tandem cold rolling unit.

4. The tandem cold rolling unit speed regulation method according to claim 1, wherein, obtaining the initial speed setting parameters of the tandem cold rolling unit, including: obtaining the raw material specification parameters and the finished product specification parameters of the target finished product in the production product parameters; determining the initial speed setting parameters of the tandem cold rolling unit according to the preset mapping relationship between the finished product specification parameters, the raw material specification parameters and the initial speed setting parameters, the raw material specification parameters and the finished product specification parameters.

5. The tandem cold rolling unit speed regulation method according to claim 1, wherein, further comprising: periodically re-evaluating the operation state of the tandem cold rolling unit.

6. A tandem cold rolling unit speed regulation system, wherein, the tandem cold rolling unit speed regulation system comprises: a data acquisition module, configured to acquire the real-time operation parameters and production product parameters of the tandem cold rolling unit; a state evaluation module, configured to determine a speed score according to the speed in the production product parameters, a preset speed upper limit threshold, and a preset speed lower limit threshold; determine a height score according to the height of the loop between adjacent processes in the production product parameters, a preset first height upper limit threshold, a preset second height threshold, and a preset height lower limit threshold, where the preset first height upper limit threshold is greater than the preset second height threshold; determine a speed number score according to the speed at adjacent time points, the process where the weld of the billet is located at adjacent time points, a first preset number upper limit threshold, and a first preset number lower limit threshold in the production product parameters; determine a height number score according to the height of the loop between the adjacent processes at adjacent time points, a preset second number upper limit threshold, and a preset second number lower limit threshold in the production product parameters; determine a speed amplitude score based on the speed at adjacent time points, the process where the weld of the billet is located at adjacent time points, a preset speed amplitude upper limit threshold, and a preset speed amplitude lower limit threshold in the production product parameters; determine a height amplitude score based on the height of the loop between the adjacent processes at adjacent time points, a preset height amplitude upper limit threshold, and a preset height amplitude lower limit threshold in the production product parameters; determine the real-time operation score of the tandem cold rolling unit based on the speed score, height score, speed number score, height number score, speed amplitude score, and height amplitude score at all time points within a preset future duration; when the real-time operation score is lower than the score threshold, the operation state of the tandem cold rolling unit does not meet the operation conditions; a parameter optimization module, when the operation state of the tandem cold rolling unit does not meet the operation conditions, is configured to optimize the real-time operation parameters of the tandem cold rolling unit by using a multi-dimensional dynamic optimization algorithm.

7. An electronic device, wherein, the electronic device comprises: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the speed regulation method of the tandem cold rolling mill as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when executed by a processor of a computer, causes the computer to execute the speed regulation method of the tandem cold rolling mill as described in any one of claims 1-5.

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