Cold straightening bending roll control method and device

Abstract

The present invention provides a cold straightening bending roll control method and device, which relates to the field of automatic control technology. The method includes: obtaining strip shape variables; determining the membership category and membership degree of the strip shape variables based on the strip shape variables and the membership function of the strip shape variables; determining the membership category of the bending roll control quantity based on the membership category of the strip shape variables and a preset fuzzy rule; wherein the preset fuzzy rule is a mapping relationship between the membership category of the strip shape variables and the membership category of the bending roll control quantity; for each membership category of the bending roll control quantity, determining the membership degree of each bending roll control quantity based on the membership degree of the strip shape variables; determining the bending roll control quantity based on the center of gravity of the membership category of each bending roll control quantity and the membership degree of each bending roll control quantity; and performing cold straightening bending according to the bending roll control quantity. The present invention can improve the accuracy of cold straightening bending roll control, avoid waste and loss of strip steel, and improve production efficiency and production quality.

Description

Technical Field

[0001] The present invention relates to the field of automatic control technology, in particular to a cold straightening roll control method and device. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. No statement herein is admitted to be prior art by virtue of its inclusion in this section.

[0003] In recent years, with the continuous expansion of the scope of use of cold-rolled strip products, users have higher and higher requirements for strip quality. Cold straightening roll control is an important method for strip shape control. In the actual production process, most of the cold straightening rolls are determined by manual experience to determine the roll control amount, which will cause uncontrollable errors and reduce the accuracy of cold straightening roll control. Low-precision cold straightening roll control will increase the waste and loss of strip, and at the same time make production efficiency and production quality unstable, and increase production costs. Summary of the Invention

[0004] In an embodiment of the present invention, a cold straightening roll control method is proposed to improve the accuracy of cold straightening roll control, avoid waste and loss of strip steel, and improve production efficiency and production quality, including:

[0005] Obtaining strip steel morphological variables;

[0006] Determining the membership category of the strip steel morphology variable and the membership degree of the strip steel morphology variable according to the strip steel morphology variable and the membership function of the strip steel morphology variable;

[0007] Determine the membership category of the bending roll control quantity according to the membership category of the strip steel morphological variables and the preset fuzzy rules; wherein the preset fuzzy rules are a mapping relationship between the membership category of the strip steel morphological variables and the membership category of the bending roll control quantity;

[0008] For each bending roll control quantity, the degree of membership is determined according to the degree of membership of the strip shape variable.

[0009] Determine the roll bending control amount according to the center of gravity of the membership category of each roll bending control amount and the membership degree of each roll bending control amount;

[0010] Cold straightening of the bending roll is performed according to the bending roll control amount.

[0011] In an embodiment of the present invention, a cold straightening roll control device is proposed to improve the accuracy of cold straightening roll control, avoid waste and loss of strip steel, and improve production efficiency and production quality, including:

[0012] Parameter acquisition module, used to obtain strip morphological variables;

[0013] a first determining module, configured to determine the membership category of the strip steel morphology variable and the membership degree of the strip steel morphology variable according to the strip steel morphology variable and the membership function of the strip steel morphology variable;

[0014] The second determination module is used to determine the membership category of the bending roll control amount according to the membership category of the strip steel morphological variable and the preset fuzzy rule; wherein the preset fuzzy rule is a mapping relationship between the membership category of the strip steel morphological variable and the membership category of the bending roll control amount;

[0015] The third determination module is used to determine the membership category of each bending roll control quantity according to the membership degree of the strip shape variable, and the membership degree of each bending roll control quantity;

[0016] a fourth determination module, configured to determine a roll bending control amount according to a center of gravity of a membership category of each roll bending control amount and a membership degree of each roll bending control amount;

[0017] The control execution module is used to perform cold straightening and bending of the roll according to the bending roll control amount.

[0018] In an embodiment of the present invention, a computer device is proposed, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, a cold straightening bending roll control method is implemented.

[0019] In an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, a method for controlling a cold straightening bending roll is implemented.

[0020] In an embodiment of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, a method for controlling a cold straightening bending roll is implemented.

[0021] The embodiments of the present invention can solve the problems of low accuracy in bending roll control, serious waste and loss of strip steel, unstable production efficiency and quality, and high production costs in the prior art. The embodiments of the present invention obtain strip morphology variables; determine the membership category and membership degree of the strip morphology variables based on the strip morphology variables and the membership function of the strip morphology variables; determine the membership category of the bending roll control quantity based on the membership category of the strip morphology variables and a preset fuzzy rule; wherein the preset fuzzy rule is a mapping relationship between the membership category of the strip morphology variables and the membership category of the bending roll control quantity; for each membership category of the bending roll control quantity, determine the membership degree of each bending roll control quantity based on the membership degree of the strip morphology variables; determine the bending roll control quantity based on the center of gravity of the membership category of each bending roll control quantity and the membership degree of each bending roll control quantity; and perform cold straightening of the bending rolls based on the bending roll control quantity. The embodiments of the present invention realize automatic control of the cold straightening bending rolls, improve the accuracy of cold straightening bending roll control, and simultaneously avoid waste and loss of strip steel, improve production efficiency and quality, and reduce production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0023] Figure 1 1 is a flow chart of a method for controlling a cold straightening bending roll in an embodiment of the present invention;

[0024] Figure 2 This is a specific example diagram of the cold straightening roll control method in an embodiment of the present invention;

[0025] Figure 3 This is a specific example diagram of the cold straightening roll control method in an embodiment of the present invention;

[0026] Figure 4 This is a specific example diagram of the cold straightening roll control method in an embodiment of the present invention;

[0027] Figure 5 Schematic diagram of a cold straightening roll control device according to an embodiment of the present invention;

[0028] Figure 6 This is a specific example diagram of a cold straightening roll control device according to an embodiment of the present invention;

[0029] Figure 7 Schematic diagram of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] To make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0031] The term "and / or" herein simply describes an association relationship, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, the simultaneous existence of A and B, and the existence of B alone. In addition, the term "at least one" herein refers to any combination of at least two of any one or more of a plurality of items. For example, "at least one of A, B, and C" can represent any one or more elements selected from the set consisting of A, B, and C.

[0032] In the description of this specification, the terms "include", "including", "have", "contain", etc. are all open terms, which mean including but not limited to. The descriptions with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", etc. mean that the specific features, structures or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. The order of steps involved in each embodiment is used to schematically illustrate the implementation of the present application, and the order of steps therein is not limited and can be appropriately adjusted as needed.

[0033] The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the present invention.

[0034] Figure 1 FIG. 1 is a flow chart of a method for controlling a cold straightening bending roll according to an embodiment of the present invention. Figure 1 As shown, the method includes:

[0035] Step 101, obtaining strip steel morphology variables;

[0036] Step 102: determining the membership category and the membership degree of the strip steel morphology variable according to the strip steel morphology variable and the membership function of the strip steel morphology variable;

[0037] Step 103: determining the membership category of the bending roll control variable according to the membership category of the strip shape variable and a preset fuzzy rule; wherein the preset fuzzy rule is a mapping relationship between the membership category of the strip shape variable and the membership category of the bending roll control variable;

[0038] Step 104, for each bending roll control quantity, the degree of membership is determined according to the degree of membership of the strip shape variable.

[0039] Step 105, determining the roll bending control amount according to the center of gravity of the membership category of each roll bending control amount and the membership degree of each roll bending control amount;

[0040] Step 106: cold straightening the rolls according to the roll bending control value.

[0041] Depend on Figure 1 As can be seen from the illustrated process, the embodiment of the present invention obtains the strip shape variables; determines the membership category and membership degree of the strip shape variables according to the strip shape variables and the membership function of the strip shape variables; determines the membership category of the bending roll control quantity according to the membership category of the strip shape variables and the preset fuzzy rule; wherein the preset fuzzy rule is a mapping relationship between the membership category of the strip shape variables and the membership category of the bending roll control quantity; for each membership category of the bending roll control quantity, determines the membership degree of each bending roll control quantity according to the membership degree of the strip shape variables; determines the bending roll control quantity according to the center of gravity of the membership category of each bending roll control quantity and the membership degree of each bending roll control quantity, and performs cold straightening bending according to the bending roll control quantity. The embodiment of the present invention realizes automatic control of cold straightening bending rolls, improves the accuracy of cold straightening bending roll control, and can avoid waste and loss of strip steel, improve production efficiency and production quality, and reduce production costs.

[0042] In order to explain the above-mentioned cold straightening bending roll control method more clearly, each step is described in detail below.

[0043] In one embodiment of the present invention, the strip morphological variables include: plate shape state variables, strip thickness, and strip width.

[0044] In one embodiment of the present invention, with respect to step 102, determining the membership category and membership degree of the strip steel morphology variable according to the strip steel morphology variable and the membership function of the strip steel morphology variable includes:

[0045] According to the flatness state variable and the membership function of the flatness state variable, the membership category of the flatness state variable and the membership degree of the flatness state variable are determined; according to the strip thickness and the membership function of the strip thickness, the membership category of the strip thickness and the membership degree of the strip thickness are determined; according to the strip width and the membership function of the strip width, the membership category of the strip width and the membership degree of the strip width are determined.

[0046] In one embodiment of the present invention, five membership categories are set for the flatness state variable (Flatness), namely, extremely convex (VB), convex (B), middle (M), concave (F), and extremely concave (VF), wherein the flatness state variable corresponding to VB is 1, the flatness state variable corresponding to B is 2, the flatness state variable corresponding to M is 3, the flatness state variable corresponding to F is 4, and the flatness state variable corresponding to VF is 5; four membership categories are set for the strip thickness (Width), namely, thin (T), slightly thin (LT), slightly thick (LS), and thick (S), wherein the strip thickness corresponding to T is 15 mm, the strip thickness corresponding to LT is 20 mm, the strip thickness corresponding to LS is 25 mm, and the strip thickness corresponding to S is 30 mm; three membership categories are set for the strip thickness (Thickness), namely, narrow (A), medium (N), and wide (W), wherein the strip width corresponding to A is 2000 mm, the strip width corresponding to N is 2500 mm, and the strip width corresponding to W is 3000 mm.

[0047] In specific implementation, the membership function of the flatness state variable, the membership function of the strip thickness, and the membership function of the strip width are set in the same way and are represented by piecewise functions. It should be noted that the piecewise function corresponding to each membership category should remain continuous on the graph. Taking the setting of the membership function of the flatness state variable as an example, since the flatness state variable has five membership categories, the flatness state variable has five membership functions. When the membership category of the flatness state variable is extremely concave, the membership function of the flatness state variable is:

[0048]

[0049] Where VF(x) is the membership function of the flatness state variable when the membership category of the flatness state variable is extremely concave, which is expressed as a piecewise function; VF mid is the midpoint of the VF fuzzy set; VF left is the left endpoint of the VF fuzzy set; x is the flatness state variable; since the flatness state variable corresponding to VF is 1, and the interval between each category of the flatness state variable is 1, VF is set mid With VF left The spacing is 1, in one embodiment of the present invention, VF mid Take 5, VF left Take 4;

[0050] When the membership category of the flatness state variable is concave, the membership function of the flatness state variable is:

[0051]

[0052] Among them, F(x) is the membership function of the flatness state variable when the membership category of the flatness state variable is concave, which is expressed by a piecewise function; Fleft is the left endpoint of the F fuzzy set; F mid is the midpoint of the F fuzzy set; F right is the right endpoint of the F fuzzy set; x is the plate shape state variable; since the plate shape state variable corresponding to F is 4, in one embodiment of the present invention, F is set left 、F mid With F right The spacing is 1, F left Take 3, F mid Take 4, F right Take 5;

[0053] When the membership category of the flatness state variable is intermediate, the membership function of the flatness state variable is:

[0054]

[0055] Among them, M(x) is the membership function of the flatness state variable when the membership category of the flatness state variable is intermediate, which is expressed by a piecewise function; M left is the left endpoint of the M fuzzy set; M mid is the midpoint of M fuzzy set; M right is the right endpoint of the M fuzzy set; x is the plate shape state variable; since the plate shape state variable corresponding to M is 3, in one embodiment of the present invention, M is set left 、M mid With M right The spacing is 1, M left Take 2, M mid Take 3, M right Take 4;

[0056] When the membership category of the flatness state variable is convex, the membership function of the flatness state variable is:

[0057]

[0058] Among them, B(x) is the membership function of the flatness state variable when the membership category of the flatness state variable is convex, which is expressed by a piecewise function; B left is the left endpoint of the B fuzzy set; B mid is the midpoint of the B fuzzy set; B right is the right endpoint of the B fuzzy set; x is the plate shape state variable; since the plate shape state variable corresponding to B is 2, in one embodiment of the present invention, B is set left 、B mid With B right The spacing is 1, B left Take 1, B mid Take 2, B right Take 3;

[0059] When the membership category of the flatness state variable is extremely convex, the membership function of the flatness state variable is:

[0060]

[0061] Among them, VB(x) is the membership function of the flatness state variable when the membership category of the flatness state variable is extremely convex, which is expressed by a piecewise function; VB right is the right endpoint of the VB fuzzy set; VB mid is the midpoint of the VB fuzzy set; x is the plate shape state variable; since the plate shape state variable corresponding to VB is 1, in one embodiment of the present invention, B is set mid with VB right The spacing is 1, VB mid Take 1, VB right Take 2.

[0062] In one embodiment of the present invention, the membership category and membership degree of the flatness state variable are determined based on the flatness state variable and its membership function. The membership category and membership degree of the strip thickness are determined based on the strip thickness and its membership function. The membership category and membership degree of the strip width are determined based on the strip width and its membership function. For example, if the flatness state variable is 1.5, the membership categories of the flatness state variable are extremely convex (VB) and convex (B), and the corresponding membership degrees of the flatness state variable are 0.5. Similarly, if the strip thickness is 17.5 mm, the membership categories of the strip thickness are thin (T) and slightly thin (LT), and the corresponding membership degrees of the strip thickness are 0.5. If the strip width is 2125 mm, the membership categories of the strip width are narrow (A) and medium (N), and the corresponding membership degrees of the strip width are 0.75 and 0.25, respectively.

[0063] In one embodiment of the present invention, with respect to step 103, the membership category of the bending roll control amount is determined according to the membership category of the strip morphology variable and a preset fuzzy rule, including:

[0064] The membership category of the bending roll control variable is determined according to the membership category of the plate shape state variable, the membership category of the strip thickness, the membership category of the strip width, and preset fuzzy rules.

[0065] In one embodiment of the present invention, the membership categories of the bending roll control amount include: large negative bend (BN), small negative bend (LN), no bend (NB), small positive bend (LP), and large positive bend (BP); the preset fuzzy rule is a mapping relationship between the membership category of the strip shape variable and the membership category of the bending roll control amount. In the preset fuzzy rule, there are i×j×k mapping relationships, where i is the number of membership categories of the plate shape state variable, j is the number of membership categories of the strip thickness, and k is the number of membership categories of the strip width; the mapping relationship between the membership category of the plate shape state variable, the membership category of the strip thickness, the membership category of the strip width and the membership category of the bending roll control amount is exemplified as follows:

[0066] If the membership category of the plate shape state variable is extremely concave (VF), the membership category of the bending roll control variable is large negative bending (BN);

[0067] If the membership category of the flatness state variable is concave (F), the membership category of the bending roll control variable is small negative bending (LN);

[0068] If the membership category of the plate shape state variable is middle (M), the membership category of the bending roll control variable is no bending (NB);

[0069] If the membership category of the plate shape state variable is convex (B), the membership category of the bending roll control variable is small positive bending (LP);

[0070] If the membership category of the flatness state variable is extremely convex (VB), the membership category of the bending roll control variable is greatly positive bending (BP);

[0071] After adding the dimension of strip width, if the membership category of the plate shape state variable is extremely concave (VF), the membership category of the bending roll control variable is large negative bending (BN), which will evolve into the following situation:

[0072] If the membership category of the flatness state variable is extremely concave (VF) and the membership category of the strip width is narrow (A), the membership category of the bending roll control variable is large negative bending (BN);

[0073] If the membership category of the plate shape state variable is extremely concave (VF) and the membership category of the strip width is medium (N), the membership category of the bending roll control variable is small negative bending (LN);

[0074] If the membership category of the plate shape state variable is extremely concave (VF) and the membership category of the strip width is wide (W), the membership category of the bending roll control variable is non-bending (NB);

[0075] When the strip thickness dimension is added, if the flatness state variable belongs to the extremely concave (VF) and the strip width belongs to the narrow (A), then the bending roll control variable belongs to the large negative bending (BN), which will lead to the following situations:

[0076] If the membership category of the flatness state variable is extremely concave (VF), the membership category of the strip width is narrow (A), and the membership category of the strip width is thin (T), then the membership category of the bending roll control variable is small positive bending (LP);

[0077] If the membership category of the flatness state variable is extremely concave (VF), the membership category of the strip width is narrow (A), and the membership category of the strip width is slightly thin (LT), then the membership category of the bending roll control variable is no bending (NB);

[0078] If the membership category of the plate shape state variable is extremely concave (VF), the membership category of the strip width is narrow (A), and the membership category of the strip width is slightly thick (LS), then the membership category of the bending roll control variable is slightly negative bending (LN);

[0079] If the membership category of the plate shape state variable is extremely concave (VF), the membership category of the strip width is narrow (A), and the membership category of the strip width is thick (S), then the membership category of the bending roll control variable is large negative bending (BN).

[0080] In one embodiment of the present invention, in the preset fuzzy rules, according to the mapping relationship between the membership category of the plate shape state variable, the membership category of the strip thickness, the membership category of the strip width, and the membership category of the bending roll control variable, the mapping relationship between the membership degree of the plate shape state variable, the membership degree of the strip thickness, the membership degree of the strip width, and the membership degree of the bending roll control variable can be determined, which is expressed as the following formula:

[0081] f(VC BENDING ) = VFlatness × VWidth × VThickness;

[0082] Among them, VC BENDING is the membership of the bending roll control variable; VFlatness is the membership of the flatness state variable; VWidth is the membership of the strip thickness; and VThickness is the membership of the strip width.

[0083] Figure 2 This is a specific example diagram of the cold straightening bending roll control method in the embodiment of the present invention. Figure 2 For each bending roll control quantity, the detailed process of determining the degree of membership of each bending roll control quantity is as follows:

[0084] Step 201: Determine the membership degree of the flatness state variable, the membership degree of the strip thickness, and the membership degree of the strip width corresponding to the membership degree of each bending roll control value based on the membership category of the flatness state variable, the membership category of the strip thickness, and the membership category of the strip width corresponding to the membership category of each bending roll control value;

[0085] Step 202: Determine the degree of membership of each bending roll control variable according to the degree of membership of the plate shape state variable, the degree of membership of the strip thickness, and the degree of membership of the strip width corresponding to the degree of membership of each bending roll control variable.

[0086] In one embodiment of the present invention, there are five membership categories of the bending roll control amount, including: large negative bend (BN), small negative bend (LN), no bend (NB), small positive bend (LP), and large positive bend (BP). Therefore, it is necessary to calculate the membership of the five bending roll control amounts. According to the membership of the plate shape state variable corresponding to the membership of each bending roll control amount, the membership of the strip thickness, and the membership of the strip width, the membership of each bending roll control amount is determined using the following formula:

[0087]

[0088] Among them, VC BENDING k represents the membership of the kth bending roll control variable; N represents the number of mappings between the membership of the kth bending roll control variable and the membership of the flatness state variable, the membership of the strip thickness, and the membership of the strip width; VFlatness i is the membership degree of the i-th plate shape state variable; VWidth i is the membership degree of the width of the i-th strip; VThickness i is the membership degree of the i-th strip thickness.

[0089] In one embodiment of the present invention, in order to determine the bending roll control amount, it is necessary to defuzzify the membership of the bending roll control amount, wherein the defuzzification methods include: maximum method, center of gravity method, weighted average method, and mean maximization method; taking the center of gravity method as an example: the membership of the bending roll control amount is divided into multiple small intervals, each small interval is weighted averaged, and then the weighted average values ​​of all small intervals are weighted summed to obtain the final bending roll control amount.

[0090] In specific implementation, the bending roll control amount is determined according to the following formula based on the center of gravity of the membership category of each bending roll control amount and the membership degree of each bending roll control amount:

[0091]

[0092] Among them, Out is the bending roll control value; VC BENDING k is the membership degree of the kth bending roll control quantity; Gvalue k is the center of gravity of the category to which the k-th bending roll control quantity belongs.

[0093] In one embodiment of the present invention, the range of the bending roll control amount is -10 to 10, the center of gravity position of the large negative bend (BN) category is -8, the center of gravity position of the small negative bend (LN) category is -5, the center of gravity position of the no bend (NB) category is 0, the center of gravity position of the small positive bend (LP) category is 5, and the center of gravity position of the large positive bend (BP) category is 8.

[0094] In one embodiment of the present invention, since different steel grades will affect the bending roll control amount, it is necessary to use a preset correction coefficient to adjust the output bending roll control amount. The formula is as follows:

[0095] Out ′ =Out×α;

[0096] Among them, Out ′ is the bending roll control value after adjustment; Out is the bending roll control value before adjustment; α is the preset adjustment coefficient.

[0097] Figure 3 It is a specific example diagram of the cold straightening bending roll control method in an embodiment of the present invention.

[0098] In one embodiment of the present invention, referring to Figure 3 , using the asymmetric control method, the strip is divided symmetrically at the midpoint of the strip width, and the bending roll control amount on both sides of the midpoint after the strip is divided is determined. The detailed process is as follows:

[0099] Step 301, dividing the steel strip symmetrically at the midpoint of the strip width;

[0100] Step 302: determining the membership categories and the membership degrees of the strip morphology variables on both sides of the strip according to the strip morphology variables and the membership functions of the strip morphology variables on both sides of the midpoint after the division;

[0101] Step 303: determining the membership categories of the bending roll control variables on both sides of the strip midpoint according to the membership categories of the strip morphological variables on both sides of the strip and the preset fuzzy rules;

[0102] Step 304, determining the membership category of each bending roll control quantity on both sides of the strip midpoint according to the membership degree of the strip shape variables on both sides of the strip midpoint;

[0103] Step 305, determining the bending roll control quantities on both sides of the midpoint of the strip according to the centroid of the membership category of each bending roll control quantity on both sides of the midpoint of the strip and the membership degree of each bending roll control quantity on both sides of the midpoint of the strip;

[0104] Step 306: cold straightening the rolls according to the roll bending control values ​​on both sides of the midpoint of the strip.

[0105] In one embodiment of the present invention, an asymmetric control method is adopted to symmetrically divide the strip into an operating side and a transmission side at the midpoint of the strip width, wherein the side close to the operating table is the operating side, and the side away from the operating table is the transmission side. Since the symmetrical division is based on the center line of the strip width, the input width here is half of the strip width. The transmission side part is first mirrored to determine the bending roll control amount of the transmission side, and then the bending roll control amount of the operating side is determined. When the plate shape is a symmetrical plate shape, the bending roll control amounts of the transmission side and the operating side are the same; when the plate shape is an asymmetric plate shape, the bending roll control amounts are different, thereby realizing asymmetric control.

[0106] Figure 4 It is a specific example diagram of the cold straightening bending roll control method in an embodiment of the present invention.

[0107] In one embodiment of the present invention, referring to Figure 4 After the cold straightening bending roll control starts, the measured data is returned by the three-point thickness gauge to obtain the strip morphology variables and the membership function of the strip morphology variables. The strip morphology variables include: plate state variables, strip thickness, and strip width; among them, the plate state variables can be calculated through the data measured by the three-point thickness gauge; using asymmetric calculation, the strip is symmetrically divided at the midpoint of the strip width, and the membership categories and membership degrees of the morphology variables on both sides of the midpoint after the strip is divided are determined. According to the membership categories of the morphology variables on both sides of the strip midpoint and the preset fuzzy rules, the strip midpoint is determined. The membership category of the bending roll control quantity is determined according to the membership degree of the strip morphological variables on both sides of the strip midpoint, and the membership degree of each bending roll control quantity on both sides of the strip midpoint is determined. According to the center of gravity of the membership category of each bending roll control quantity on both sides of the strip midpoint and the membership degree of each bending roll control quantity on both sides of the strip midpoint, the bending roll control quantity on both sides of the strip midpoint is determined. Taking into account the complexity of the actual strip shape, it is necessary to confirm whether the cold straightening bending roll needs manual control. If manual control is required, the cold straightening bending roll is manually controlled; if manual control is not required, the control ends after the bending roll control quantity is issued.

[0108] It should be noted that although the operations of the method of the present invention are described in a specific order in the above embodiments and drawings, this does not require or imply that these operations must be performed in this specific order, or that all illustrated operations must be performed to achieve the desired results. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0109] The implementation of the cold straightening bending roll control device can refer to the implementation of the above method, and the repeated parts will not be repeated. The terms "module" or "unit" used below can be a combination of software and / or hardware that implements the predetermined function. Although the device described in the following embodiments is preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and conceivable.

[0110] Based on the same inventive concept, the present invention also proposes a cold straightening bending roll control device, such as Figure 5 As shown, the device includes:

[0111] Parameter acquisition module 501, used to obtain strip morphological variables;

[0112] A first determining module 502 is configured to determine the membership category of the strip steel morphology variable and the membership degree of the strip steel morphology variable according to the strip steel morphology variable and the membership function of the strip steel morphology variable;

[0113] The second determining module 503 is configured to determine the membership category of the bending roll control variable based on the membership category of the strip shape variable and a preset fuzzy rule; wherein the preset fuzzy rule is a mapping relationship between the membership category of the strip shape variable and the membership category of the bending roll control variable;

[0114] The third determining module 504 is used to determine the membership degree of each bending roll control quantity according to the membership degree of the strip shape variable for each bending roll control quantity.

[0115] The fourth determination module 505 is used to determine the roll bending control amount according to the center of gravity of the membership category of each roll bending control amount and the membership degree of each roll bending control amount;

[0116] The control execution module 506 is used to perform cold straightening and bending of the rolls according to the bending roll control amount.

[0117] In one embodiment of the present invention, the strip morphological variables include: plate shape state variables, strip thickness, and strip width.

[0118] In one embodiment of the present invention, the first determining module 502 is specifically configured to:

[0119] Determining the membership category of the flatness state variable and the membership degree of the flatness state variable according to the flatness state variable and the membership function of the flatness state variable;

[0120] According to the strip thickness and the membership function of the strip thickness, the membership category of the strip thickness and the membership degree of the strip thickness are determined;

[0121] According to the strip width and the membership function of the strip width, the membership category of the strip width and the membership degree of the strip width are determined.

[0122] In one embodiment of the present invention, the second determining module 503 is specifically configured to:

[0123] The membership category of the bending roll control variable is determined according to the membership category of the plate shape state variable, the membership category of the strip thickness, the membership category of the strip width, and preset fuzzy rules.

[0124] In one embodiment of the present invention, the third determining module 504 is specifically configured to:

[0125] According to the membership category of the flatness state variable, the membership category of the strip thickness, and the membership category of the strip width corresponding to the membership category of each bending roll control quantity, the membership degree of the flatness state variable, the membership degree of the strip thickness, and the membership degree of the strip width corresponding to the membership degree of each bending roll control quantity are determined;

[0126] The degree of membership of each bending roll control quantity is determined according to the degree of membership of the plate shape state variable, the degree of membership of the strip thickness, and the degree of membership of the strip width corresponding to the degree of membership of each bending roll control quantity.

[0127] Figure 6 FIG. 1 is a specific example diagram of the cold straightening bending roll control device in the embodiment of the present invention. Figure 6 As shown, in one embodiment of the present invention, Figure 5 The cold straightening bending roll control device further comprises:

[0128] Asymmetric control module 601 is used to divide the strip symmetrically at the midpoint of the strip width; the strips on both sides of the midpoint after division are triggered Figure 5 The cold straightening bending roll control device shown in the figure is executed by each module.

[0129] It should be noted that although several modules of the cold-straightening bending roll control device are mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more modules described above can be embodied in a single module. Conversely, the features and functions of a single module described above can be further divided and embodied by multiple modules.

[0130] Based on the above invention concept, Figure 7 As shown, the present invention also proposes a computer device 700, including a memory 701, a processor 702 and a computer program 703 stored in the memory 701 and executable on the processor 702, wherein the processor 702 implements the aforementioned cold straightening bending roll control method when executing the computer program 703.

[0131] Based on the aforementioned inventive concept, the present invention proposes a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the aforementioned cold straightening bending roll control method is implemented.

[0132] Based on the aforementioned inventive concept, the present invention proposes a computer program product, which includes a computer program. When the computer program is executed by a processor, a cold straightening bending roll control method is implemented.

[0133] The embodiments of the present invention can solve the problems of low accuracy in bending roll control, serious waste and loss of strip steel, unstable production efficiency and quality, and high production costs in the prior art. The embodiments of the present invention obtain strip morphology variables; determine the membership category and membership degree of the strip morphology variables based on the strip morphology variables and the membership function of the strip morphology variables; determine the membership category of the bending roll control quantity based on the membership category of the strip morphology variables and a preset fuzzy rule; wherein the preset fuzzy rule is a mapping relationship between the membership category of the strip morphology variables and the membership category of the bending roll control quantity; for each membership category of the bending roll control quantity, determine the membership degree of each bending roll control quantity based on the membership degree of the strip morphology variables; determine the bending roll control quantity based on the center of gravity of the membership category of each bending roll control quantity and the membership degree of each bending roll control quantity; and perform cold straightening of the bending rolls based on the bending roll control quantity. The embodiments of the present invention realize automatic control of the cold straightening bending rolls, improve the accuracy of cold straightening bending roll control, and simultaneously avoid waste and loss of strip steel, improve production efficiency and quality, and reduce production costs.

[0134] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0135] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts 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, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0136] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0137] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0138] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A cold straightening roll control method, characterized in that: include: Obtaining strip steel morphological variables; Determining the membership category of the strip steel morphology variable and the membership degree of the strip steel morphology variable according to the strip steel morphology variable and the membership function of the strip steel morphology variable; Determine the membership category of the bending roll control quantity according to the membership category of the strip steel morphological variables and the preset fuzzy rules; wherein the preset fuzzy rules are a mapping relationship between the membership category of the strip steel morphological variables and the membership category of the bending roll control quantity; For each bending roll control quantity, the degree of membership is determined according to the degree of membership of the strip shape variable. Determine the roll bending control amount according to the center of gravity of the membership category of each roll bending control amount and the membership degree of each roll bending control amount; Perform cold straightening of the bending roll according to the bending roll control amount; Strip morphological variables include: plate shape state variables, strip thickness, and strip width.

2. The method according to claim 1, characterized in that According to the strip steel morphology variables and the membership function of the strip steel morphology variables, the membership category and membership degree of the strip steel morphology variables are determined, including: Determining the membership category of the flatness state variable and the membership degree of the flatness state variable according to the flatness state variable and the membership function of the flatness state variable; According to the strip thickness and the membership function of the strip thickness, the membership category of the strip thickness and the membership degree of the strip thickness are determined; According to the strip width and the membership function of the strip width, the membership category of the strip width and the membership degree of the strip width are determined.

3. The method according to claim 2, characterized in that According to the membership category of the strip morphology variables and the preset fuzzy rules, the membership category of the bending roll control quantity is determined, including: The membership category of the bending roll control variable is determined according to the membership category of the plate shape state variable, the membership category of the strip thickness, the membership category of the strip width, and preset fuzzy rules.

4. The method according to claim 3, characterized in that For each bending roll control quantity, the degree of membership is determined according to the degree of membership of the strip shape variable, including: According to the membership category of the flatness state variable, the membership category of the strip thickness, and the membership category of the strip width corresponding to the membership category of each bending roll control quantity, the membership degree of the flatness state variable, the membership degree of the strip thickness, and the membership degree of the strip width corresponding to the membership degree of each bending roll control quantity are determined; The degree of membership of each bending roll control quantity is determined according to the degree of membership of the plate shape state variable, the degree of membership of the strip thickness, and the degree of membership of the strip width corresponding to the degree of membership of each bending roll control quantity.

5. The method according to claim 1, wherein Also includes: Divide the strip symmetrically at the midpoint of its width; The cold straightening bending roll control method according to claim 1 is respectively executed for the strip steels on both sides of the midpoint after division.

6. A cold straightening roll control device, characterized in that: include: Parameter acquisition module, used to obtain strip morphological variables; a first determining module, configured to determine the membership category of the strip steel morphology variable and the membership degree of the strip steel morphology variable according to the strip steel morphology variable and the membership function of the strip steel morphology variable; The second determination module is used to determine the membership category of the bending roll control amount according to the membership category of the strip steel morphological variable and the preset fuzzy rule; wherein the preset fuzzy rule is a mapping relationship between the membership category of the strip steel morphological variable and the membership category of the bending roll control amount; The third determination module is used to determine the membership category of each bending roll control quantity according to the membership degree of the strip shape variable, and the membership degree of each bending roll control quantity; a fourth determination module, configured to determine a roll bending control amount according to a center of gravity of a membership category of each roll bending control amount and a membership degree of each roll bending control amount; Control execution module, used for cold straightening roll bending according to roll bending control value; Strip morphological variables include: plate shape state variables, strip thickness, and strip width.

7. The device according to claim 6, characterized in that The first determining module is specifically configured to: Determining the membership category of the flatness state variable and the membership degree of the flatness state variable according to the flatness state variable and the membership function of the flatness state variable; According to the strip thickness and the membership function of the strip thickness, the membership category of the strip thickness and the membership degree of the strip thickness are determined; According to the strip width and the membership function of the strip width, the membership category of the strip width and the membership degree of the strip width are determined.

8. The device according to claim 6, characterized in that The second determining module is specifically configured to: The membership category of the bending roll control variable is determined according to the membership category of the plate shape state variable, the membership category of the strip thickness, the membership category of the strip width, and preset fuzzy rules.

9. The device according to claim 6, characterized in that The third determination module is specifically configured to: According to the membership category of the flatness state variable, the membership category of the strip thickness, and the membership category of the strip width corresponding to the membership category of each bending roll control quantity, the membership degree of the flatness state variable, the membership degree of the strip thickness, and the membership degree of the strip width corresponding to the membership degree of each bending roll control quantity are determined; The degree of membership of each bending roll control quantity is determined according to the degree of membership of the plate shape state variable, the degree of membership of the strip thickness, and the degree of membership of the strip width corresponding to the degree of membership of each bending roll control quantity.

10. The device according to claim 6, characterized in that Also includes: The asymmetric control module is used to divide the strip symmetrically at the midpoint of the strip width; for the strips on both sides of the midpoint after division, each module in the cold straightening bending roll control device according to claim 6 is triggered to execute.

11. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

12. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

13. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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