CN112199832A - A method and device for on-line evaluation of strip warpage height - Google Patents
A method and device for on-line evaluation of strip warpage height Download PDFInfo
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Abstract
The invention relates to the technical field of steel rolling, in particular to a method and a device for online evaluation of the warping height of strip steel, wherein the method comprises the following steps: acquiring the on-line warping height of the strip steel to be detected; detecting size information of the offline sampling strip steel corresponding to the strip steel to be detected, and taking the size information as a target model parameter of a preset warping height conversion model; and substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel. On the basis of real-time online detection of the on-line warping height of the strip steel to be detected, the off-line warping height of the off-line sampling strip steel can be evaluated in real time on line according to the preset warping height conversion model, and therefore the technical problem that the off-line warping height of the strip steel cannot be evaluated on line in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of steel rolling, in particular to a method and a device for online evaluation of the warping height of strip steel.
Background
On-line detection equipment and method for cold-rolled strip steel warpage always belong to the blank of the industry. The method can only carry out spot check and detection on the produced steel coil on line, cannot monitor the warping degree of the strip steel on line in real time, and is difficult to grasp the warping condition of the strip steel in time and carry out production adjustment on line. With the increasing requirements of users on the quality of steel coils, the warping of strip steel becomes one of the important indexes influencing the quality of strip steel products.
The warp detection equipment for the cold-rolled strip steel, which is developed by the first steel independently (see a method and a system for detecting the warp of the strip steel in detail, with the patent application number of CN201810796791.1), realizes the on-line detection of the distribution of the relative heights in the width direction of the strip steel plate by using detection lasers and cameras, and can be used for detecting the on-line warp height of the strip steel.
The above patent detects the on-line warping height of the strip, however, the warping height of the strip in the general sense refers to the result of sampling and measuring the strip under the line, and the warping degree and form of the strip under the line and the strip under the line are obviously different, the warping on the line is C warping, which is a strip presenting upward or downward warping in the width direction, and the warping under the line is L warping, which is a strip presenting upward or downward warping in the length direction.
Therefore, the technical problem that the offline warping height of the strip steel cannot be evaluated online exists in the prior art.
Disclosure of Invention
The invention aims to provide a method and a device for online evaluation of the strip steel warping height, and aims to solve the technical problem that the offline warping height of the strip steel cannot be evaluated online in the prior art.
The embodiment of the invention provides the following scheme:
according to a first aspect of the invention, the embodiment of the invention provides an online evaluation method for the warping height of a strip steel, which is applied to an industrial personal computer and comprises the following steps:
acquiring the on-line warping height of the strip steel to be detected;
detecting size information of the offline sampling strip steel corresponding to the strip steel to be detected, and taking the size information as a target model parameter of a preset warping height conversion model;
and substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel.
Preferably, the target model parameters further include: the warp angle, warp correction coefficient and size correction coefficient of the offline sampling strip steel, and the size information comprises: the width and the length of the offline sampling strip steel are as follows, and the preset warping height conversion model is as follows:
wherein, wCIs the on-line warping height, w, of the strip steel to be detectedLIs the estimated value of the off-line warping height of the off-line sampling strip steel, mu is the Poisson ratio, k1Is the warp correction coefficient, k2Is the dimension correction factor, B is the width of the offline sampling strip steel, L is the length of the offline sampling strip steel, theta is the warping angle of the offline sampling strip steel,
preferably, the on-line warp height comprises: a left-side warp height and a right-side warp height in the width direction; the strip steel to be detected comprises: a left side warp arc and a right side warp arc in the length direction; the warp angle includes: a first central angle corresponding to the left side warping arc and a second central angle corresponding to the right side warping arc;
correspondingly, the substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel includes:
substituting the left side warping height, the size information and the first central angle into the preset warping height conversion model to obtain an estimated value of the lower line warping height of the left side warping arc;
and substituting the right side warping height, the size information and the second central angle into the preset warping height conversion model to obtain an estimated value of the lower line warping height of the right side warping arc.
Preferably, after obtaining the estimated value of the offline warping height of the right-side warping circular arc, the method further includes:
performing offline sampling inspection on the strip steel to be detected to obtain an actual value of the offline warping height of the offline sampling strip steel;
calculating the relative deviation between the estimated value of the lower warping height and the actual value of the lower warping height;
and when the relative deviation is greater than the preset deviation, adjusting the correction coefficient according to the actual value of the lower line warping height.
Preferably, after obtaining the estimated value of the offline warping height of the offline sampling strip, the method further comprises:
and displaying the on-line warping height and the off-line warping height estimated value in real time.
Preferably, after the obtaining of the on-line warping height of the strip steel to be detected, the method further includes:
and optimizing the on-line warping height of the strip steel to be detected.
According to a second aspect of the present invention, an embodiment of the present invention provides a device for evaluating a warp height of a strip steel, including:
the acquisition module is used for acquiring the on-line warping height of the strip steel to be detected;
the detection module is used for detecting the size information of the offline sampling strip steel corresponding to the strip steel to be detected and taking the size information as a target model parameter of a preset warping height conversion model;
and the evaluation module is used for substituting the on-line warping height and the target model parameter into the preset warping height conversion model so as to obtain an estimated value of the off-line warping height of the off-line sampling strip steel.
Preferably, the apparatus further comprises:
the correction module is used for performing offline sampling inspection on the strip steel to be detected to obtain an actual value of the offline warping height of the offline sampling strip steel; calculating the relative deviation between the estimated value of the lower warping height and the actual value of the lower warping height; and when the relative deviation is greater than the preset deviation, adjusting the correction coefficient according to the actual value of the lower line warping height.
According to a third aspect of the present invention, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method steps according to any one of the first aspect of the present invention.
According to a fourth aspect of the present invention, an industrial personal computer is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement any one of the method steps according to the first aspect of the present invention.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the online warping height of the strip steel to be detected is obtained; detecting size information of the offline sampling strip steel corresponding to the strip steel to be detected, and taking the size information as a target model parameter of a preset warping height conversion model; and substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel. On the basis of real-time online detection of the on-line warping height of the to-be-detected strip steel, the off-line warping height of the off-line sampling strip steel can be evaluated in real time on line according to the preset warping height conversion model, so that the technical problem that the off-line warping height of the strip steel cannot be evaluated in an online manner in the prior art is solved, the real-time online monitoring of the warping degree of the strip steel is realized, the warping condition of the strip steel is mastered in time, online production adjustment is carried out, and the production quality of the strip steel can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present specification, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of an online evaluation method for the warp height of a strip steel in the embodiment of the invention;
FIG. 2 is a schematic diagram of the conversion of the strip steel on-line C warp and off-line L warp;
FIG. 3 is a diagram of a warp detection analysis system interface for a strip steel production line according to the present invention;
FIG. 4 is a schematic structural diagram of an online evaluation device for the warp height of a strip steel in the embodiment;
FIG. 5 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an industrial personal computer in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by those skilled in the art based on the embodiments of the present invention belong to the scope of protection of the embodiments of the present invention.
First embodiment
Referring to fig. 1, fig. 1 is a schematic flow chart of an online evaluation method for a warpage height of a strip steel in an embodiment of the present invention.
The execution subject of this embodiment is the Industrial Personal Computer (IPC). The method comprises the following steps:
step S10: and acquiring the on-line warping height of the strip steel to be detected.
Under the action of tension, the C warp and the L warp are relatively converted. Therefore, the online warping degree of the to-be-detected strip steel is detected online, and the offline warping degree of the to-be-detected strip steel is evaluated online based on the relative conversion relation between the C warping and the L warping and the online warping height of the to-be-detected strip steel.
In a specific implementation, the on-line warping height of the strip steel to be detected is detected on line by using the detection laser and the camera through the cold-rolled strip steel warping detection equipment mentioned in the background technology.
Step S20: and detecting the size information of the offline sampling strip steel corresponding to the strip steel to be detected, and taking the size information as a target model parameter of a preset warping height conversion model.
The preset warping height conversion model comprises a conversion relation between an on-line warping height and an off-line warping height, and in order to evaluate the off-line warping height of the off-line sampling strip steel according to the preset warping height conversion model and the on-line warping height, target model parameters of the preset warping height conversion model are determined. The target parameters comprise size information of the strip steel to be detected, and the size information is the length and the width of the strip steel to be detected.
Step S30: and substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel.
After the on-line warping height and the target model parameters are obtained, the on-line warping height and the target model parameters are substituted into the preset warping height conversion model, and an estimated value of the off-line warping height of the off-line sampling strip steel can be obtained. Therefore, on the basis of real-time online monitoring of the online warping height of the strip steel to be detected, the offline warping height of the offline sampling strip steel can be evaluated online in real time, the warping degree of the strip steel can be monitored online in real time, the warping condition of the strip steel can be mastered in time, online production adjustment can be carried out, and the production quality is improved.
In one possible implementation, as shown in fig. 2, the target model parameters further include: the correction coefficient is a coefficient added for processing a calculation formula in order to reflect the real performance as much as possible when deviations are generated due to ideal and real conditions, reality and investigation and the like in data calculation, formula expression and the like, and the warping correction coefficient and the size correction coefficient are set in target model parameters of the preset warping height conversion model, so that the calculation accuracy of the off-line warping height estimation value can be improved. The size information includes: the width and the length of the offline sampling strip steel are as follows, and the preset warping height conversion model is as follows:
wherein, wCThe on-line warping height of the strip steel to be detected is the C warping height, w, detected on lineLThe value is the estimated value of the off-line warping height of the off-line sampling strip steel, the off-line warping height is the L warping height obtained by off-line detection of the off-line sampling strip steel, mu is the Poisson ratio, is preferably 0.3, has higher accuracy, and k is1The warp correction coefficient is in the range of 0.05-5, k2The dimension correction coefficient is a dimension correction coefficient, the value range is 1-10, the preference is 8, the dimension measurement error can be corrected well, B is the width of the strip steel sampled under the line, L is the length of the strip steel sampled under the line, theta is the warping angle of the strip steel sampled under the line,
in one possible embodiment, with continued reference to fig. 2, the on-line warp height comprises: a left-side warp height and a right-side warp height in the width direction; the strip steel to be detected comprises: a left side warp arc and a right side warp arc in the length direction; the warp angle includes: a first central angle corresponding to the left side warping arc and a second central angle corresponding to the right side warping arc; correspondingly, the substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel includes: substituting the left side warping height, the size information and the first central angle into the preset warping height conversion model to obtain an estimated value of the lower line warping height of the left side warping arc; and substituting the right side warping height, the size information and the second central angle into the preset warping height conversion model to obtain an estimated value of the lower line warping height of the right side warping arc.
In actual production, the warping degree of two sides of the strip steel is generally different, including: the left side online strip steel and the right side online strip steel have different warping degrees in the width direction, and the left side offline strip steel and the right side offline strip steel have different warping degrees in the length direction. Therefore, in order to accurately estimate the warping heights of all parts, in the length direction, the left warping arc and the right warping arc which are divided by the to-be-detected strip steel are obtained, the first central angle corresponding to the left warping arc and the second central angle corresponding to the right warping arc are obtained and substituted into the preset warping height conversion model for calculation, the off-line warping height estimation value of the left warping arc and the off-line warping height estimation value of the right warping arc are obtained, and the applicability of the estimation result is improved.
In a possible implementation, after obtaining the estimated value of the offline warp height of the right warp circular arc, the method further includes: performing offline sampling inspection on the strip steel to be detected to obtain an actual value of the offline warping height of the offline sampling strip steel; calculating the relative deviation between the estimated value of the lower warping height and the actual value of the lower warping height; when the relative deviation is larger than the preset deviation, the correction coefficient is adjusted according to the actual value of the offline warping height, the accuracy of the preset warping height model is improved, and when the offline warping height of the offline sampling strip steel is evaluated according to the preset warping height model, the accuracy of the estimated value of the offline warping height can be improved.
In one possible embodiment, as shown in fig. 3, after obtaining the estimate of the offline warp height of the offline sampled steel strip, the method further comprises: and displaying the on-line warping height and the off-line warping height estimated value in real time, providing real-time warping monitoring data for a strip steel production field, timely mastering the warping condition of the strip steel, performing production adjustment on line and improving the production quality.
In a possible embodiment, after the obtaining the on-line warping height of the strip steel to be detected, the method further includes: and optimizing the on-line warping height of the strip steel to be detected. The method is mainly used for eliminating various interference factors and abnormal results, such as abnormal data points and the like caused by the problems of asymmetric inclination of warping distribution, strip steel shaking, data acquisition and the like caused by equipment installation problems.
The technical scheme provided in the embodiment of the application at least has the following technical effects or advantages:
in the embodiment, the online warping height of the strip steel to be detected is obtained; detecting size information of the offline sampling strip steel corresponding to the strip steel to be detected, and taking the size information as a target model parameter of a preset warping height conversion model; and substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel. On the basis of real-time online detection of the on-line warping height of the to-be-detected strip steel, the off-line warping height of the off-line sampling strip steel can be evaluated in real time on line according to the preset warping height conversion model, so that the technical problem that the off-line warping height of the strip steel cannot be evaluated in an online manner in the prior art is solved, the real-time online monitoring of the warping degree of the strip steel is realized, the warping condition of the strip steel is mastered in time, online production adjustment is carried out, and the production quality of the strip steel can be improved.
Second embodiment
Based on the same inventive concept, as shown in fig. 4, an embodiment of the present invention further provides an online evaluation apparatus for a strip steel warp height, including:
the acquisition module 10 is used for acquiring the on-line warping height of the strip steel to be detected;
the detection module 20 is configured to detect size information of the offline sampling strip steel corresponding to the strip steel to be detected, and use the size information as a target model parameter of a preset warping height conversion model;
and the evaluation module 30 is configured to substitute the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimation value of the off-line sampling strip steel.
In one possible embodiment, the target model parameters further include: the warp angle, warp correction coefficient and size correction coefficient of the offline sampling strip steel, and the size information comprises: the width and the length of the offline sampling strip steel are as follows, and the preset warping height conversion model is as follows:
wherein, wCIs the on-line warping height, w, of the strip steel to be detectedLIs the estimated value of the off-line warping height of the off-line sampling strip steel, mu is the Poisson ratio, k1Is the warp correction coefficient, k2Is the dimension correction factor, B is the width of the offline sampling strip steel, L is the length of the offline sampling strip steel, theta is the warping angle of the offline sampling strip steel,
in one possible embodiment, the on-line warp height comprises: a left-side warp height and a right-side warp height in the width direction; the strip steel to be detected comprises: a left side warp arc and a right side warp arc in the length direction; the warp angle includes: a first central angle corresponding to the left side warping arc and a second central angle corresponding to the right side warping arc;
the evaluation module 30 is specifically configured to substitute the left-side warping height, the size information, and the first central angle into the preset warping height conversion model to obtain an estimated value of the lower-line warping height of the left-side warping arc; and substituting the right side warping height, the size information and the second central angle into the preset warping height conversion model to obtain an estimated value of the lower line warping height of the right side warping arc.
In a possible embodiment, the apparatus further comprises:
the correction module is used for performing offline sampling inspection on the strip steel to be detected to obtain an actual value of the offline warping height of the offline sampling strip steel; calculating the relative deviation between the estimated value of the lower warping height and the actual value of the lower warping height; and when the relative deviation is greater than the preset deviation, adjusting the correction coefficient according to the actual value of the lower line warping height.
In a possible embodiment, the apparatus further comprises:
and the display module is used for displaying the on-line warping height and the off-line warping height estimated value in real time.
In a possible embodiment, the apparatus further comprises:
and the optimization module is used for optimizing the on-line warping height of the strip steel to be detected.
The technical scheme provided in the embodiment of the application at least has the following technical effects or advantages:
in the embodiment, the online warping height of the strip steel to be detected is obtained through the obtaining module; the detection module detects the size information of the offline sampling strip steel corresponding to the strip steel to be detected, and the size information is used as a target model parameter of a preset warping height conversion model; and the evaluation module substitutes the on-line warping height and the target model parameters into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel. On the basis of real-time online detection of the on-line warping height of the to-be-detected strip steel, the off-line warping height of the off-line sampling strip steel can be evaluated in real time on line according to the preset warping height conversion model, so that the technical problem that the off-line warping height of the strip steel cannot be evaluated in an online manner in the prior art is solved, the real-time online monitoring of the warping degree of the strip steel is realized, the warping condition of the strip steel is mastered in time, online production adjustment is carried out, and the production quality of the strip steel can be improved.
Based on the same inventive concept, as shown in fig. 5, an embodiment of the present invention further provides a computer-readable storage medium 300, on which a computer program 311 is stored, where the program 311, when executed by a processor, implements the following steps:
acquiring the on-line warping height of the strip steel to be detected; detecting size information of the offline sampling strip steel corresponding to the strip steel to be detected, and taking the size information as a target model parameter of a preset warping height conversion model; and substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel.
In a specific implementation, the computer program 311 may implement the method steps of any one of the first implementation embodiments described above when executed by a processor.
Third embodiment
Based on the same inventive concept, as shown in fig. 6, an embodiment of the present invention further provides an industrial personal computer 400, which includes a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and operable on the processor 420, where the processor 420 implements the following steps when executing the program 411:
acquiring the on-line warping height of the strip steel to be detected; detecting size information of the offline sampling strip steel corresponding to the strip steel to be detected, and taking the size information as a target model parameter of a preset warping height conversion model; and substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel.
In a specific implementation, the method steps of any one of the above-described first implementation embodiments may be implemented when the processor 420 executes the computer program 411.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (modules, systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. The method for evaluating the warping height of the strip steel is applied to an industrial personal computer and comprises the following steps:
acquiring the on-line warping height of the strip steel to be detected;
detecting size information of the offline sampling strip steel corresponding to the strip steel to be detected, and taking the size information as a target model parameter of a preset warping height conversion model;
and substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel.
2. The method of claim 1, wherein the target model parameters further comprise: the warp angle, warp correction coefficient and size correction coefficient of the offline sampling strip steel, and the size information comprises: the width and the length of the offline sampling strip steel are as follows, and the preset warping height conversion model is as follows:
wherein, wCIs the on-line warping height, w, of the strip steel to be detectedLIs the estimated value of the off-line warping height of the off-line sampling strip steel, mu is the Poisson ratio, k1Is the warp correction coefficient, k2Is the dimension correction factor, B is the width of the offline sampling strip steel, L is the length of the offline sampling strip steel, theta is the warping angle of the offline sampling strip steel,
3. the method of claim 2, wherein the on-line warp height comprises: a left-side warp height and a right-side warp height in the width direction; the offline sampling strip steel comprises: a left side warp arc and a right side warp arc in the length direction; the warp angle includes: a first central angle corresponding to the left side warping arc and a second central angle corresponding to the right side warping arc;
correspondingly, the substituting the on-line warping height and the target model parameter into the preset warping height conversion model to obtain an off-line warping height estimated value of the off-line sampling strip steel includes:
substituting the left side warping height, the size information and the first central angle into the preset warping height conversion model to obtain an estimated value of the lower line warping height of the left side warping arc;
and substituting the right side warping height, the size information and the second central angle into the preset warping height conversion model to obtain an estimated value of the lower line warping height of the right side warping arc.
4. The method of claim 3, wherein after obtaining the estimate of the offline warp height for the right warp arc, the method further comprises:
performing offline sampling inspection on the strip steel to be detected to obtain an actual value of the offline warping height of the offline sampling strip steel;
calculating the relative deviation between the estimated value of the lower warping height and the actual value of the lower warping height;
and when the relative deviation is greater than the preset deviation, adjusting the correction coefficient according to the actual value of the lower line warping height.
5. The method of any one of claims 1-4, wherein after obtaining the estimate of the offline warp height of the offline sampled strip, the method further comprises:
and displaying the on-line warping height and the off-line warping height estimated value in real time.
6. The method according to any one of claims 1 to 4, wherein after obtaining the in-line buckling height of the strip to be detected, the method further comprises:
and optimizing the on-line warping height of the strip steel to be detected.
7. A device for evaluating a warp height of a strip steel, comprising:
the acquisition module is used for acquiring the on-line warping height of the strip steel to be detected;
the detection module is used for detecting the size information of the offline sampling strip steel corresponding to the strip steel to be detected and taking the size information as a target model parameter of a preset warping height conversion model;
and the evaluation module is used for substituting the on-line warping height and the target model parameter into the preset warping height conversion model so as to obtain an estimated value of the off-line warping height of the off-line sampling strip steel.
8. The apparatus of claim 7, further comprising:
the correction module is used for performing offline sampling inspection on the strip steel to be detected to obtain an actual value of the offline warping height of the offline sampling strip steel; calculating the relative deviation between the estimated value of the lower warping height and the actual value of the lower warping height; and when the relative deviation is greater than the preset deviation, adjusting the correction coefficient according to the actual value of the lower line warping height.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method steps of any one of claims 1 to 6.
10. An industrial personal computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method steps according to any of claims 1 to 6 when executing the program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011046855.XA CN112199832A (en) | 2020-09-29 | 2020-09-29 | A method and device for on-line evaluation of strip warpage height |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011046855.XA CN112199832A (en) | 2020-09-29 | 2020-09-29 | A method and device for on-line evaluation of strip warpage height |
Publications (1)
| Publication Number | Publication Date |
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| CN112199832A true CN112199832A (en) | 2021-01-08 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112815897A (en) * | 2021-01-29 | 2021-05-18 | 佛山市诚德新材料有限公司 | Steel band quality detection system |
| CN112872100A (en) * | 2021-01-29 | 2021-06-01 | 佛山市诚德新材料有限公司 | Steel strip warping height detection device and anti-bending roller adjustment method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112815897A (en) * | 2021-01-29 | 2021-05-18 | 佛山市诚德新材料有限公司 | Steel band quality detection system |
| CN112872100A (en) * | 2021-01-29 | 2021-06-01 | 佛山市诚德新材料有限公司 | Steel strip warping height detection device and anti-bending roller adjustment method |
| CN112872100B (en) * | 2021-01-29 | 2022-11-11 | 佛山市诚德新材料有限公司 | Steel strip warping height detection device and anti-bending roller adjustment method |
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