Strip thickness overshoot determination method, apparatus, device, medium and program product

Abstract

The application discloses a strip steel thickness overshoot determination method and device, equipment, medium and program product, and relates to the technical field of metal processing. The method comprises the following steps: in the case that the thickness of a target area in a strip steel is out of tolerance, determining the extreme value of a second extreme point according to a fitting curve of the target area, the fitting curve is used to represent the corresponding relationship between the length value and the thickness deviation value in the target area, the second extreme point is the second extreme point among at least one extreme point of the target area, and the extreme value of the second extreme point is the value corresponding to the second extreme point in the fitting curve; in the case that the product of the extreme value of a first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point meets a preset interval, determining that the thickness overshoot occurs in the target area, the first extreme point is the first extreme point among the at least one extreme point, and the extreme value of the first extreme point is the value corresponding to the first extreme point in the fitting curve.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of metal processing, and particularly relates to a strip steel thickness overshoot determination method, device, equipment, medium and program product. BACKGROUND

[0002] In the hot continuous rolling process, the control of the thickness of the steel plate is a very important factor affecting the quality of the steel plate, and the head thickness deviation of the strip steel is related to the full-length thickness accuracy of the plate. The head thickness deviation refers to the deviation of the average value of the actual thickness of a sampling point in the head of the strip steel from the set value, and the accuracy thereof is mainly affected by the thickness setting model, so the detection of the head thickness curve is very important in the actual production process. However, in the actual production and manufacturing, the different initial thicknesses of each steel plate, the different temperatures in the rolling process and other factors can all cause the thickness signal to be out of tolerance, and the adjustment of the overshoot can easily cause the thickness signal to be out of tolerance. The existing technology cannot effectively find the phenomenon of the head thickness overshoot of the strip steel, and therefore is not conducive to the subsequent hot continuous rolling operation, and further affects the production quality of the steel plate. SUMMARY

[0003] The application embodiment provides a strip steel thickness overshoot determination method, device, equipment, medium and program product, which can effectively identify the thickness overshoot phenomenon in the target area.

[0004] In a first aspect, the application embodiment provides a strip steel thickness overshoot determination method, which comprises the following steps:

[0005] In the case that the thickness overshoot occurs in the target area of the strip steel, the extreme value of a second extreme point is determined according to a fitting curve of the target area, the fitting curve is used to represent the corresponding relationship between the length value and the thickness deviation value in the target area, the second extreme point is a second extreme point of at least one extreme point of the target area, and the extreme value of the second extreme point is a value corresponding to the second extreme point in the fitting curve;

[0006] In the case that the product of the extreme value of a first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies a preset interval, it is determined that the thickness overshoot occurs in the target area, the first extreme point is a first extreme point of the at least one extreme point, and the extreme value of the first extreme point is a value corresponding to the first extreme point in the fitting curve.

[0007] In a second aspect, the application embodiment provides a strip steel thickness overshoot determination device, which comprises the following steps:

[0008] The first determining module is configured to, in a case where the thickness of the target area of the strip steel is out of tolerance, determine an extreme value of a second extreme point according to a fitting curve of the target area, the fitting curve being used to represent a corresponding relationship between a length value and a thickness deviation value in the target area, the second extreme point being a second extreme point of the at least one extreme point of the target area, and the extreme value of the second extreme point being a value corresponding to the second extreme point in the fitting curve;

[0009] The second determining module is configured to, in a case where a product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies a preset interval, determine that the thickness of the target area is over-adjusted, the first extreme point being a first extreme point of the at least one extreme point, and the extreme value of the first extreme point being a value corresponding to the first extreme point in the fitting curve.

[0010] In a third aspect, an embodiment of the present application provides an electronic device, which comprises a processor and a memory storing computer program instructions; and the processor implements the strip steel thickness over-adjustment determination method according to any one of the above aspects when executing the computer program instructions.

[0011] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, which stores computer program instructions, and the computer program instructions are executed by a processor to implement the strip steel thickness over-adjustment determination method according to any one of the above aspects.

[0012] In a fifth aspect, an embodiment of the present application provides a computer program product, and instructions in the computer program product are executed by a processor of an electronic device to enable the electronic device to perform the strip steel thickness over-adjustment determination method according to any one of the above aspects.

[0013] The strip thickness overshoot determination method, apparatus, equipment, medium, and program product of this application embodiment can determine the extreme value of a second extreme point based on the fitting curve of the target region when a thickness deviation occurs in the target region of the strip. The fitting curve is used to characterize the correspondence between the length value and the thickness deviation value in the target region. The second extreme point is the second extreme point among at least one extreme point in the target region, and the extreme value of the second extreme point is the value corresponding to the second extreme point in the fitting curve. When the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies a preset interval, it is determined that a thickness overshoot has occurred in the target region. The first extreme point is the first extreme point among at least one extreme point, and the extreme value of the first extreme point is the value corresponding to the first extreme point in the fitting curve. Thus, in this embodiment of the application, when the thickness exceeds the tolerance in the target area of ​​the strip, the extreme value of the second extreme point can be determined based on the fitting curve of the length value and the thickness deviation value in the target area. When the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies the preset range, the thickness overshoot phenomenon in the target area can be accurately and effectively identified, which is beneficial to the subsequent hot rolling operation and thus ensures the production quality of the steel plate. Attached Figure Description

[0014] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a flowchart illustrating the method for determining strip thickness overshoot provided in the embodiments of this application;

[0016] Figure 2 This is a flowchart illustrating a scenario embodiment provided in this application.

[0017] Figure 3 This is a normalized thickness data curve provided in the embodiments of this application, which shows the fit after exceeding the tolerance and then overshooting.

[0018] Figure 4 This is a schematic diagram of the strip thickness overshoot determination device provided in the embodiments of this application;

[0019] Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0020] The features and exemplary embodiments of various aspects of the present application will be described below in detail, in order to make the purposes, technical solutions and advantages of the present application more clear and apparent, the present application will be further described in detail below in combination with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, but not to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0021] It should be noted that, in this paper, the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment. Without more limitation, the elements defined by the statement "include" do not exclude the presence of other identical elements in the process, method, article or equipment including the elements.

[0022] In the hot continuous rolling process, the control of the thickness of the steel plate is a very important factor affecting the quality of the steel plate, and the head thickness deviation of the strip steel is related to the full-length thickness accuracy of the plate. The head thickness deviation refers to the deviation of the average value of the actual thickness of the sampling point of the head of the strip steel from the set value, and its accuracy is mainly affected by the thickness setting model, so the detection of the head thickness curve is very important in the actual production process. However, in actual production and manufacturing, factors such as different initial thickness of each steel plate and different temperature during rolling may cause the thickness signal to be out of tolerance, and the adjustment of the out-of-tolerance thickness signal may easily cause the thickness signal to be over-adjusted. The existing technology cannot effectively find the phenomenon of over-adjustment of the head thickness of the strip steel, and therefore is not conducive to subsequent hot continuous rolling operation, and further affects the production quality of the steel plate.

[0023] In order to solve the problems in the prior art, the embodiments of the present application provide a strip steel thickness over-adjustment determination method, device, equipment, medium and program product. First, the strip steel thickness over-adjustment determination method provided by the embodiments of the present application will be introduced.

[0024] Figure 1 The flowchart of the strip steel thickness over-adjustment determination method provided by an embodiment of the present application is shown. As shown in Figure 1 The strip steel thickness over-adjustment determination method can include the following steps S101-S102:

[0025] S101, in the case that the thickness of the target region of the strip steel is out of tolerance, determining the extreme value of the second extreme point according to the fitting curve of the target region, the fitting curve being used to represent the corresponding relationship between the length value and the thickness deviation value in the target region, the second extreme point being the second extreme point among the at least one extreme point of the target region, and the extreme value of the second extreme point being the value corresponding to the second extreme point in the fitting curve;

[0026] S102, in the case that the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies the preset interval, determining that the thickness of the target region is over-regulated, the first extreme point being the first extreme point among the at least one extreme point, and the extreme value of the first extreme point being the value corresponding to the first extreme point in the fitting curve.

[0027] The strip steel thickness over-regulation determination method of the embodiment of the present application can, in the case that the thickness of the target region of the strip steel is out of tolerance, determine the extreme value of the second extreme point according to the fitting curve of the target region, the fitting curve being used to represent the corresponding relationship between the length value and the thickness deviation value in the target region, the second extreme point being the second extreme point among the at least one extreme point of the target region, and the extreme value of the second extreme point being the value corresponding to the second extreme point in the fitting curve; in the case that the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies the preset interval, determining that the thickness of the target region is over-regulated, the first extreme point being the first extreme point among the at least one extreme point, and the extreme value of the first extreme point being the value corresponding to the first extreme point in the fitting curve. In this way, in the embodiment of the present application, in the case that the thickness of the target region of the strip steel is out of tolerance, the extreme value of the second extreme point can be determined according to the fitting curve of the length value and the thickness deviation value in the target region, and in the case that the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies the preset interval, the thickness over-regulation phenomenon in the target region can be accurately and effectively identified, thereby being beneficial to subsequent hot continuous rolling operation, and further ensuring the production quality of the steel plate.

[0028] In S101, the above-mentioned target region can be the head region of the strip steel. Exemplarily, the first 20% of the length of the strip steel can be the head region.

[0029] The identification of the thickness out-of-tolerance of the target area in the strip steel can exemplarily include: obtaining production process parameters of the strip steel, the production process parameters including a plurality of length values of the strip steel and thickness deviation values corresponding to the length values; fitting a fitting curve of the target area in the strip steel according to the plurality of length values of the target area in the strip steel and the thickness deviation values corresponding to the length values; calculating at least one extreme point of the target area in the strip steel according to the fitting curve; and determining that the thickness out-of-tolerance occurs in the target area in a case where an extreme value of the first extreme point satisfies a preset interval.

[0030] The fitting curve can be used to represent the corresponding relationship between the length value and the thickness deviation value in the target area.

[0031] The second extreme point can be the second extreme point among the at least one extreme point of the target area, and thus the extreme value of the second extreme point can be determined according to a value corresponding to the second extreme point in the fitting curve.

[0032] In S102, the first extreme point can be the first extreme point among the at least one extreme point, and the extreme value of the first extreme point can be a value corresponding to the first extreme point in the fitting curve.

[0033] The product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, that is, f(x1)·f(x2)<0, which indicates that the extreme value of the first extreme point and the extreme value of the second extreme point are opposite in sign, meaning that a sign change occurs between the first extreme point and the second extreme point, and one of them is a maximum value and the other is a minimum value. Therefore, based on this, whether the extreme value of the second extreme point satisfies the preset interval is determined to effectively identify the thickness overshoot phenomenon in the target area.

[0034] In some embodiments, S102 can specifically include:

[0035] In a case where the extreme value of the second extreme point is greater than a preset first threshold, it is determined that the thickness overshoot occurs in the target area.

[0036] In a case where the extreme value of the second extreme point is greater than a preset second threshold and less than the first threshold, a first value and a second value are calculated according to the extreme value of the first extreme point, the second threshold and the fitting curve, the second threshold being less than the first threshold; and in a case where a difference between the first value and the second value is greater than a preset tolerance, it is determined that the thickness overshoot occurs in the target area.

[0037] The first threshold can exemplarily be u(1+p). Wherein, u is a boundary value of a preset threshold interval [-u, u], and p is a relative threshold. Exemplarily, u=0.15 and p=5%. In the embodiments of the present application, the values of u and p are not limited to this, and can also be set according to actual needs.

[0038] The second threshold is less than the first threshold. For example, the second threshold can be u.

[0039] In the case that the extreme value at the second extreme point is greater than the preset first threshold, it is determined that the thickness overshoot occurs in the target region. For example, if |f(x2)|>u(1+p), it is considered that the overshoot occurs after the over-error.

[0040] In the case that the extreme value at the second extreme point is greater than the preset second threshold and less than the first threshold, that is, u<|f(x2)|<u(1+p), the first value and the second value are calculated according to the extreme value at the first extreme point, the second threshold, and the fitting curve. For example, if f(x2)>0, f(x) is set as u, if f(x2)<0, f(x) is set as -u, and the first value x b1 and the second value x b2 are solved.

[0041] The tolerance can be the intersection tolerance r at the threshold. For example, r=0.025.

[0042] In the case that the difference between the first value and the second value is greater than the preset tolerance, it is determined that the thickness overshoot occurs in the target region. For example, if |x b1 -x b2 |>r, it is considered that the overshoot occurs after the over-error.

[0043] In the embodiments of the present application, the extreme value at the second extreme point in the fitting curve can be compared with the first threshold and the second threshold to accurately identify whether the thickness overshoot occurs in the target region.

[0044] As an implementation manner of the present application, in order to determine that the thickness overshoot does not occur in the target region, the method can further include:

[0045] In the case that the extreme value at the second extreme point is less than the second threshold, it is determined that the thickness overshoot does not occur in the target region.

[0046] In the case that the difference between the first value and the second value is less than the tolerance, it is determined that the thickness overshoot does not occur in the target region.

[0047] In the case that the extreme value at the second extreme point is less than the second threshold, it is determined that the thickness overshoot does not occur in the target region. For example, if |f(x2)|<u, it is considered that the overshoot does not occur after the over-error.

[0048] In the case that the difference between the first value and the second value is less than the tolerance, it is determined that the thickness overshoot does not occur in the target region. For example, if |x b1 -xb2 If the first extreme value is greater than the second threshold value, it is still considered that the thickness overshoot does not occur after the thickness undershoot.

[0049] In the embodiment of the present application, in the case that the extreme value of the second extreme point is less than the second threshold value, or the difference between the first value and the second value is less than the tolerance, it can be determined that the thickness overshoot does not occur in the target region.

[0050] As another implementation manner of the present application, in order to determine whether the thickness undershoot occurs in the target region, before the S101, the method can further include:

[0051] Obtaining the production process parameters of the strip steel, the production process parameters including a plurality of length values of the strip steel and thickness deviation values corresponding to the length values;

[0052] Fitting a fitting curve of the target region of the strip steel according to the plurality of length values of the target region of the strip steel and the thickness deviation values corresponding to the length values;

[0053] Calculating at least one extreme point of the target region of the strip steel according to the fitting curve;

[0054] Determining an extreme value of a first extreme point according to the fitting curve of the target region;

[0055] In the case that the extreme value of the first extreme point meets a preset interval, it is determined that the thickness undershoot occurs in the target region.

[0056] The production process parameters can include a plurality of length values of the strip steel and thickness deviation values corresponding to the length values. The plurality of length values can be, for example, length values of the strip steel with a full length of 1216 meters at an interval of 1 meter.

[0057] The fitting of the fitting curve of the target region of the strip steel according to the plurality of length values of the target region of the strip steel and the thickness deviation values corresponding to the length values can be, for example,

[0058]

[0059] Wherein, f(x) is the fitting curve, c i is the coefficient of the i-th term of the polynomial; n is the degree of the polynomial; x is the independent variable, that is, the normalized horizontal coordinate of time; e i is the difference between the i-th actual data and the fitting function; y i is the normalized thickness data of the i-th; SSE is a measure of the overall fitting degree between the fitting function and the actual data; X is the design matrix, which contains the power of the independent variable x, c is the coefficient vector, and y is the dependent variable vector.

[0060] The calculation of the at least one extreme point of the target region of the strip steel according to the fitting curve can be, for example, f′ (x) = 0 can be obtained to find extreme points x1, x2, x3, …, xn of the fitting curve. n .

[0061] The extreme value of the first extreme point according to the fitting curve of the target region can be exemplarily extracted as (x i , f(x i ))i = 1, 2, 3, …, n.

[0062] In the case that the extreme value of the first extreme point satisfies the preset interval, it is determined that the thickness deviation occurs in the target region. Specifically, in the case that the extreme value of the first extreme point is greater than the preset first threshold, it is determined that the thickness deviation occurs in the target region; in the case that the extreme value of the first extreme point is greater than the preset second threshold and less than the first threshold, third and fourth values are calculated according to the extreme value of the first extreme point, the second threshold and the fitting curve; in the case that the difference between the third and fourth values is greater than the tolerance, it is determined that the thickness deviation occurs in the target region.

[0063] In the case that the extreme value of the first extreme point is greater than the preset first threshold, that is, |f(x1)| > u(1 + p), it is considered that the deviation occurs.

[0064] In the case that the extreme value of the first extreme point is greater than the preset second threshold and less than the first threshold, that is, u < |f(x1)| < u(1 + p), third and fourth values are calculated according to the extreme value of the first extreme point, the second threshold and the fitting curve. Specifically, if f(x1) > 0, let f(x) = u, if f(x1) < 0, let f(x) = -u, the third value x a1 and the fourth value x a2 are solved. In the case that the difference between the third and fourth values is greater than the tolerance, that is, |x a1 -x a2 | > r, it is determined that the thickness deviation occurs in the target region.

[0065] In some embodiments, the method can further include:

[0066] In the case that the extreme value of the first extreme point is less than the second threshold, it is determined that the thickness deviation does not occur in the target region.

[0067] In the case that the difference between the third and fourth values is less than the tolerance, it is determined that the thickness deviation does not occur in the target region.

[0068] In the case that the extreme value of the first extreme point is less than the second threshold, that is, |f(x1)| < u, it is determined that the thickness deviation does not occur in the target region.

[0069] The difference between the third value and the fourth value is less than the tolerance, i.e., |x a1 -x a2 |<r, then it is still considered that no out-of-tolerance occurs.

[0070] In the embodiments of the present application, a fitting curve of the target region in the strip steel is fitted according to the plurality of length values of the target region in the strip steel and the thickness deviation values corresponding to the length values, and at least one extreme point of the target region in the strip steel is calculated, and then whether the extreme value of the first extreme point meets a preset interval is judged to accurately identify whether the thickness out-of-tolerance occurs in the target region.

[0071] In some embodiments, the fitting of the fitting curve of the target region in the strip steel according to the plurality of length values of the target region in the strip steel and the thickness deviation values corresponding to the length values can specifically include:

[0072] According to the production process parameters of the strip steel, the plurality of length values and the thickness deviation values corresponding to the length values are normalized to obtain the abscissa and ordinate of a plurality of samples, and different samples correspond to different length values and different thickness deviation values.

[0073] According to the abscissa and ordinate of each sample, the fitting curve of the target region in the strip steel is fitted.

[0074] According to the production process parameters of the strip steel, the plurality of length values and the thickness deviation values corresponding to the length values are normalized to obtain the abscissa and ordinate of a plurality of samples, and different samples correspond to different length values and different thickness deviation values.

[0075] n1=ηn

[0076]

[0077]

[0078] Wherein, n is the total number of samples collected from the strip steel; η is the proportion of the total number of samples occupied by the head samples, n1 is the number of head samples; t i is the length value of the i th sample; t max is the maximum length value of the head region taken; x i is the abscissa of the i th sample length value after normalization; h i is the thickness deviation value of the i th sample; a is the thickness deviation value standardization value; y i is the ordinate of the i th sample thickness deviation value after normalization.

[0079] In the embodiments of the present application, according to the production process parameters of the strip steel, the plurality of length values and the thickness deviation values corresponding to each length value are normalized to obtain the abscissa and ordinate of the plurality of samples. The purpose of normalizing the data is to facilitate the comparison of the overall data and to facilitate the fitting of the fitting curve of the target region in the strip steel according to the abscissa and ordinate of each sample.

[0080] In some embodiments, the above-mentioned normalizing the plurality of length values and the thickness deviation values corresponding to each length value according to the production process parameters of the strip steel to obtain the abscissa and ordinate of the plurality of samples can specifically include:

[0081] According to the production process parameters of the strip steel, a plurality of length values of the target region in the strip steel and thickness deviation values corresponding to each length value are extracted;

[0082] The plurality of length values of the target region and the thickness deviation values corresponding to each length value are normalized to obtain the abscissa and ordinate of the plurality of samples.

[0083] In the embodiments of the present application, the plurality of length values of the target region in the strip steel and the thickness deviation values corresponding to each length value are extracted from the production process parameters of the strip steel, which can reduce the amount of data to be processed for normalization and further improve the data processing efficiency.

[0084] In order to facilitate the understanding of the strip steel thickness overshoot determination method in the embodiments of the present application, the actual application process of the strip steel thickness overshoot determination method is described, as shown in Figure 2 , specifically as follows:

[0085] Step (1) batch acquiring production process parameters in the processing process of a steel plate through data acquisition;

[0086] Step (2) according to the actual production situation, the data is processed in parts, the head data is selected as the object of subsequent data processing, and the data is normalized to facilitate further data processing;

[0087] Step (3) the normalized data is subjected to the next fitting processing, and all the data is fitted into a smooth and continuous curve;

[0088] Step (4) performing feature analysis on the fitted curve to obtain the extreme value of the fitted curve, and performing the next step of judging the curve according to the maximum and minimum values of the curve.

[0089] In step (1), the acquired production process parameters include the length of the entire steel plate during rolling and the thickness corresponding to each length position. The detection instrument is arranged on site to obtain the specific data (x i , y i), as shown in Table 1, the first 20% of the points in the extracted data are taken as the head data.

[0090] Table 1 Full length data of strip steel

[0091]

[0092] The purpose of step (2) is to normalize the data for subsequent calculation and comparison of the overall data, and the calculation formula is as follows:

[0093] n1 = ηn

[0094]

[0095] Where n is the total number of data collected; η is the proportion of head data in the total data, n1 is the number of head data; t i is the length of the i-th sample data; t max is the maximum length of the head interval taken; x i is the horizontal coordinate of the i-th length data after normalization; h i is the i-th thickness sample data; a is the thickness data standardization value, which is 0.15 in this calculation; y i is the vertical coordinate of the i-th thickness sample data after normalization; the processed data is shown in Table 2:

[0096] Table 2 Data after normalization

[0097]

[0098]

[0099] The fitting process of step (3) is as follows:

[0100]

[0101] e i = y i - f(x i )

[0102]

[0103] X T X·c = X T y

[0104] Where f(x) is the fitting curve, c i is the coefficient of the i-th term of the polynomial; n is the degree of the polynomial; x is the independent variable, that is, the normalized horizontal coordinate of time; e i is the difference between the i-th actual data and the fitting function; y iis the normalized thickness data of the ith; SSE is the overall fitting degree between the fitting function and the actual data; X is the design matrix, which contains the power of the independent variable x, c is the coefficient vector, and y is the dependent variable vector.

[0105] For example, the normalized data is fitted by a polynomial, and the tenth order polynomial fitting equation is:

[0106] f(x) = c 10 x 10 +c9x 9 +c8x 8 +c7x 7 +c6x 6 +c5x 5 +c4x 4 +c3x 3 +c2x 2

[0107] +c1x 1 +c0x 0

[0108] Step (4) is to further analyze the fitted curve, and to calculate the maximum and minimum values of the fitted curve by derivation, and then to perform the next calculation according to the maximum and minimum values. The specific calculation process is as follows:

[0109] Let f ′ (x) = 0, the extreme points x1, x2, x3, …, x n of the fitted curve can be obtained, and the extreme points of the fitted polynomial are extracted as (x i , f(x i )), i = 1, 2, 3, …, n. The extreme values are shown in Table 3.

[0110] Table 3: Extreme value information of the sample

[0111]

[0112]

[0113] According to the actual situation, the threshold interval is taken as [-u, u], the relative threshold is p, and the tolerance of the intersection point with the threshold is r. Specifically, u = 0.15, p = 5%, and r = 0.025.

[0114] Then the excess is judged:

[0115] If |f(x1)| > u(1 + p), it is considered that the excess occurs;

[0116] If |f(x1)| < u, it is considered that no excess occurs;

[0117] If u < |f(x1)| < u(1 + p), and if f(x1) > 0, then let f(x) = u; if f(x1) < 0, then let f(x) = -u, and solve for x a1 , x a2 . If |x a1 - x a2 | ≤ r, it is still regarded as no over-tolerance occurred; if |x a1 - x a2 | > r, it is regarded as over-tolerance occurred.

[0118] After over-tolerance identification is completed, overshoot identification is carried out. On the premise that over-tolerance has occurred, the second extreme point x2 is analyzed to judge whether overshoot has occurred:

[0119] First, it is necessary to judge whether the signs of the extreme values of the first extreme point and the second extreme point are opposite, that is, when f(x1)·f(x2) < 0 is satisfied, continue to the next judgment:

[0120] If |f(x2)| > u(1 + p), it is regarded as over-tolerance occurred first and then overshoot occurred;

[0121] If |f(x2)| < u, it is regarded as no overshoot occurred after over-tolerance;

[0122] If u < |f(x2)| < u(1 + p), and if f(x2) > 0, then let f(x) = u; if f(x2) < 0, then let f(x) = -u, and solve for x b1 , x b2 . If |x b1 - x b2 | ≤ r, it is still regarded as no overshoot occurred after over-tolerance; if |x b1 - x b2 | > r, it is regarded as overshoot occurred after over-tolerance. As Figure 3 shown, it is the normalized thickness data curve that conforms to overshoot after over-tolerance after fitting.

[0123] In the embodiments of the present application, first, the thickness of the steel plate during the rolling process is obtained in batches through data acquisition; then all the obtained data is segmented to separate the head data; then the points are fitted according to the available head data to form a smooth curve; then the characteristics of the fitted curve are analyzed to extract the corresponding characteristic values, and whether overshoot occurs after over-tolerance is analyzed for the curve.

[0124] Based on the strip thickness overshoot determination method provided in the above embodiments, correspondingly, the present application also provides a specific implementation manner of the strip thickness overshoot determination device. Please refer to the following embodiments. [[ID=5o]]

[0125] As<o000342>As shown, the strip thickness overshoot determination apparatus 400 provided by the embodiments of the present application can include the following modules: a first determination module 401 and a second determination module 402.

[0126] The first determination module 401 is configured to, in the case where the thickness of the target region in the strip is out of tolerance, determine the extreme value of the second extreme point according to the fitting curve of the target region, the fitting curve being used to represent the corresponding relationship between the length value and the thickness deviation value in the target region, the second extreme point being the second extreme point among the at least one extreme point of the target region, and the extreme value of the second extreme point being the value corresponding to the second extreme point in the fitting curve.

[0127] The second determination module 402 is configured to, in the case where the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies a preset interval, determine that the thickness overshoot occurs in the target region, the first extreme point being the first extreme point among the at least one extreme point, and the extreme value of the first extreme point being the value corresponding to the first extreme point in the fitting curve.

[0128] The strip thickness overshoot determination apparatus provided by the embodiments of the present application can, in the case where the thickness of the target region in the strip is out of tolerance, determine the extreme value of the second extreme point according to the fitting curve of the target region, the fitting curve being used to represent the corresponding relationship between the length value and the thickness deviation value in the target region, the second extreme point being the second extreme point among the at least one extreme point of the target region, and the extreme value of the second extreme point being the value corresponding to the second extreme point in the fitting curve. In the case where the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies a preset interval, it is determined that the thickness overshoot occurs in the target region, the first extreme point being the first extreme point among the at least one extreme point, and the extreme value of the first extreme point being the value corresponding to the first extreme point in the fitting curve. In this way, in the embodiments of the present application, in the case where the thickness of the target region in the strip is out of tolerance, the extreme value of the second extreme point can be determined according to the fitting curve of the length value and the thickness deviation value in the target region, and in the case where the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies a preset interval, the thickness overshoot phenomenon in the target region can be accurately and effectively identified, thereby facilitating subsequent hot continuous rolling operation, and further ensuring the production quality of the steel plate.

[0129] In some embodiments, the second determination module 402 can specifically include:

[0130] The first determination unit is configured to, in the case where the extreme value of the second extreme point is greater than a preset first threshold value, determine that the thickness overshoot occurs in the target region.

[0131] The second determining unit is configured to, in a case where the extreme value of the second extreme point is greater than a preset second threshold and less than a first threshold, calculate a first value and a second value according to the extreme value of the first extreme point, the second threshold and the fitting curve, the second threshold being less than the first threshold; and in a case where a difference between the first value and the second value is greater than a preset tolerance, determine that the thickness overshoot occurs in the target region.

[0132] As an implementation manner of the present application, in order to determine that the thickness overshoot does not occur in the target region, the second determining module 402 can further include:

[0133] The third determining unit is configured to, in a case where the extreme value of the second extreme point is less than the second threshold, determine that the thickness overshoot does not occur in the target region.

[0134] The fourth determining unit is configured to, in a case where the difference between the first value and the second value is less than the tolerance, determine that the thickness overshoot does not occur in the target region.

[0135] As another implementation manner of the present application, in order to determine whether the thickness overshoot occurs in the target region, the apparatus 400 can further include:

[0136] The obtaining module is configured to obtain a production process parameter of the strip steel, the production process parameter including a plurality of length values of the strip steel and thickness deviation values corresponding to the length values.

[0137] The fitting module is configured to generate a fitting curve of the target region of the strip steel according to the plurality of length values of the target region of the strip steel and the thickness deviation values corresponding to the length values.

[0138] The calculating module is configured to calculate at least one extreme point of the target region of the strip steel according to the fitting curve.

[0139] The third determining module is configured to determine an extreme value of the first extreme point according to the fitting curve of the target region.

[0140] The fourth determining module is configured to, in a case where the extreme value of the first extreme point satisfies a preset interval, determine that the thickness overshoot occurs in the target region.

[0141] In some embodiments, the fourth determining module can specifically include:

[0142] The fifth determining unit is configured to, in a case where the extreme value of the first extreme point is greater than a preset first threshold, determine that the thickness overshoot occurs in the target region.

[0143] The sixth determining unit is configured to, in a case where the extreme value of the first extreme point is greater than a preset second threshold and less than the first threshold, calculate a third value and a fourth value according to the extreme value of the first extreme point, the second threshold and the fitting curve; and in a case where a difference between the third value and the fourth value is greater than a tolerance, determine that the thickness out-of-tolerance occurs in the target region.

[0144] In some embodiments, the fourth determining module can further include:

[0145] The seventh determining unit is configured to, in a case where the extreme value of the first extreme point is less than the second threshold, determine that the thickness out-of-tolerance does not occur in the target region.

[0146] The eighth determining unit is configured to, in a case where the difference between the third value and the fourth value is less than the tolerance, determine that the thickness out-of-tolerance does not occur in the target region.

[0147] In some embodiments, the fitting module can specifically include:

[0148] The processing unit is configured to perform normalization processing on the plurality of length values and the thickness deviation values corresponding to the length values according to the production process parameters of the strip steel, to obtain the abscissa and the ordinate of the plurality of samples, and different samples correspond to different length values and different thickness deviation values.

[0149] The fitting unit is configured to generate the fitting curve of the target region in the strip steel according to the abscissa and the ordinate of each sample.

[0150] In some embodiments, the processing unit can specifically include:

[0151] The extraction sub-unit is configured to extract the plurality of length values of the target region in the strip steel and the thickness deviation values corresponding to the length values according to the production process parameters of the strip steel.

[0152] The processing sub-unit is configured to perform normalization processing on the plurality of length values of the target region and the thickness deviation values corresponding to the length values, to obtain the abscissa and the ordinate of the plurality of samples.

[0153] Figure 5 A hardware structure schematic diagram of an electronic device provided by an embodiment of the present application is shown.

[0154] The electronic device can include a processor 501 and a memory 502 having computer program instructions stored therein.

[0155] Specifically, the processor 501 can include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or can be configured as one or more integrated circuits that implement one or more embodiments of the present application.

[0156] The memory 502 can include mass storage for data or instructions. As an example and not by way of limitation, the memory 502 can include a hard disk drive (HDD), a floppy disk drive, flash memory, an optical disc (e.g., a compact disc (CD) or a digital versatile disc (DVD)), a solid-state drive (SSD), a USB drive, or a combination of two or more of these. Where appropriate, the memory 502 can include removable or non-removable (or fixed) media, where appropriate. The memory 502 can be internal or external to the integrated gateway disaster recovery device. In particular embodiments, the memory 502 is non-volatile, solid-state memory.

[0157] In particular embodiments, the memory 502 can include read-only memory (ROM), random-access memory (RAM), a disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical, or other physical / tangible memory storage device. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software that, when executed (by one or more processors), is operable to

[0158] The processor 501 implements any one of the strip thickness overshoot determination methods in the above embodiments by reading and executing the computer program instructions stored in the memory 502.

[0159] In one example, the electronic device can further include a communication interface 503 and a bus 510. Wherein, as shown in the figure, the processor 501, the memory 502, the communication interface 503 are connected through the bus 510 and complete the communication between each other. Figure 5

[0160] The communication interface 503 is mainly used to realize the communication between each module, device, unit and / or equipment in the embodiments of the application.

[0161] ​Bus 510 includes hardware, software, or both, to couple electronic devices to each other in a network. While Figure 5 illustrates a bus, other interconnects that are used to interconnect various hardware components can be utilized. Although Figure 5 is described and shown as including a particular number and kind of components in a particular arrangement, the present application contemplates any suitable number, kind, and / or arrangement of components.

[0162] The electronic device can perform the strip thickness overshoot determination method in the embodiments of the present application, thereby realizing the strip thickness overshoot determination method and device described in the embodiments of the present application. Figure 1 and Figure 4 The strip thickness overshoot determination method and device described in the embodiments of the present application.

[0163] In addition, in combination with the strip thickness overshoot determination method in the above embodiments, the embodiments of the present application can provide a computer readable storage medium to realize. The computer readable storage medium has computer program instructions stored thereon; the computer program instructions are executed by a processor to realize any one of the strip thickness overshoot determination methods in the above embodiments.

[0164] In combination with the strip thickness overshoot determination method in the above embodiments, the embodiments of the present application can provide a computer program product, instructions in the computer program product are executed by a processor of an electronic device, so that the electronic device executes the strip thickness overshoot determination method in any one of the above.

[0165] It needs to be clear that the present application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after understanding the spirit of the present application.

[0166] The functions noted in the description of the structural block diagrams above can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application specific integrated circuits (ASICs), appropriate firmware, plug-ins, functional cards, and the like. When implemented in software, the elements of the present application are program or code segments that are used to perform the required tasks. The program or code segments can be stored in a machine-readable medium or transmitted through a data signal carried in a carrier wave over a transmission medium or communication link. A "machine-readable medium" includes any medium that can store or transport information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and the like. The code segments can be downloaded via computer networks such as the Internet, intranets, and the like.

[0167] It is also important to note that the examples mentioned in the present application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the steps mentioned above, that is, the steps can be performed in the order mentioned in the examples, or in an order different from the examples, or several steps can be performed simultaneously.

[0168] The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. These computer program instructions can also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other processing devices to operate in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function / act specified in the flowchart and / or block diagram block or blocks. The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. These computer program instructions can also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other processing devices to operate in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function / act specified in the flowchart and / or block diagram block or blocks.

[0169] The above merely describes a specific implementation of the present application. Those skilled in the art can clearly understand the specific working processes of the system, modules and units described above for the convenience and brevity of description, and can refer to the corresponding processes in the foregoing method embodiments, which will not be described herein again. It should be understood that the protection scope of the present application is not limited to this, and any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed by the present application, and these modifications or replacements should be covered within the protection scope of the present application.

Claims

1. A method for determining strip thickness overshoot, characterized in that, include: In the case of thickness deviation in the target area of ​​the strip, the extreme value of the second extreme point is determined according to the fitting curve of the target area. The fitting curve is used to characterize the correspondence between the length value and the thickness deviation value in the target area. The second extreme point is the second extreme point among at least one extreme point of the target area. The extreme value of the second extreme point is the value corresponding to the second extreme point in the fitting curve. If the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero, and the extreme value of the second extreme point satisfies a preset interval, it is determined that thickness overshoot has occurred in the target region. The first extreme point is the first extreme point among the at least one extreme point, and the extreme value of the first extreme point is the value corresponding to the first extreme point in the fitted curve. If the extreme value of the second extreme point satisfies a preset interval, it is determined that thickness overshoot has occurred in the target region, including: If the extreme value of the second extreme point is greater than a preset first threshold, it is determined that thickness overshoot has occurred in the target region; If the extreme value of the second extreme point is greater than a preset second threshold and less than the first threshold, a first value and a second value are calculated based on the extreme value of the first extreme point, the second threshold and the fitted curve, wherein the second threshold is less than the first threshold; if the difference between the first value and the second value is greater than a preset tolerance, it is determined that thickness overshoot has occurred in the target region. The method further includes: If the extreme value of the second extreme point is less than the second threshold, it is determined that no thickness overshoot has occurred in the target region; If the difference between the first value and the second value is less than the tolerance, it is determined that no thickness overshoot has occurred in the target area.

2. The method according to claim 1, characterized in that, Before determining the extreme value of the second extreme point based on the fitted curve of the target region, the method further includes: Obtain the production process parameters of the strip steel, the production process parameters including multiple length values ​​of the strip steel and thickness deviation values ​​corresponding to each length value; Based on multiple length values ​​of the target region in the strip and the thickness deviation value corresponding to each length value, a fitting curve for the target region in the strip is generated. Based on the fitted curve, at least one extreme point in the target region of the strip is calculated; The extreme value of the first extreme point is determined based on the fitted curve of the target region; If the extreme value of the first extreme point satisfies the preset interval, it is determined that a thickness deviation has occurred in the target region.

3. The method according to claim 2, characterized in that, The step of fitting and generating a fitting curve for the target region in the strip steel based on multiple length values ​​of the target region in the strip steel and the thickness deviation values ​​corresponding to each length value includes: Based on the production process parameters of the strip steel, the multiple length values ​​and the thickness deviation values ​​corresponding to each length value are normalized to obtain the horizontal and vertical coordinates of multiple samples. Different samples correspond to different length values ​​and different thickness deviation values. Based on the x-coordinate and y-coordinate of each sample, a fitting curve for the target region in the strip is generated.

4. The method according to claim 3, characterized in that, The step involves normalizing multiple length values ​​and their corresponding thickness deviations based on the strip steel's production process parameters to obtain the horizontal and vertical coordinates of multiple samples, including: Based on the production process parameters of the strip steel, extract multiple length values ​​of the target region in the strip steel and the thickness deviation value corresponding to each length value; The multiple length values ​​of the target region and the corresponding thickness deviation values ​​are normalized to obtain the horizontal and vertical coordinates of multiple samples.

5. A strip thickness overshoot determination device, characterized in that, The device includes: The first determining module is used to determine the extreme value of the second extreme point based on the fitting curve of the target area when the thickness deviation occurs in the target area of ​​the strip. The fitting curve is used to characterize the correspondence between the length value and the thickness deviation value in the target area. The second extreme point is the second extreme point among at least one extreme point of the target area. The extreme value of the second extreme point is the value corresponding to the second extreme point in the fitting curve. The second determining module is used to determine that thickness overshoot has occurred in the target region when the product of the extreme value of the first extreme point and the extreme value of the second extreme point is less than zero and the extreme value of the second extreme point satisfies a preset interval. The first extreme point is the first extreme point among the at least one extreme point, and the extreme value of the first extreme point is the value corresponding to the first extreme point in the fitted curve. The second determining module includes: The first determining unit is used to determine that thickness overshoot has occurred in the target region when the extreme value of the second extreme point is greater than a preset first threshold. The second determining unit is configured to, when the extreme value of the second extreme point is greater than a preset second threshold and less than the first threshold, calculate a first value and a second value based on the extreme value of the first extreme point, the second threshold and the fitted curve, wherein the second threshold is less than the first threshold; and determine that thickness overshoot has occurred in the target region when the difference between the first value and the second value is greater than a preset tolerance. The second determining module further includes: The third determining unit is used to determine that no thickness overshoot has occurred in the target region when the extreme value of the second extreme point is less than the second threshold. The fourth determining unit is used to determine that no thickness overshoot has occurred in the target area when the difference between the first value and the second value is less than the tolerance.

6. An electronic device, characterized in that, The device includes: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, it implements the strip thickness overshoot determination method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the strip thickness overshoot determination method as described in any one of claims 1-4.

8. A computer program product, characterized in that, When the instructions in the computer program product are executed by the processor of the electronic device, the electronic device performs the strip thickness overshoot determination method as described in any one of claims 1-4.

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