Strip shape evaluation method, device, medium and cold rolling mill

Abstract

The application relates to the technical field of cold-rolled strip steel production, and discloses a strip steel flatness evaluation method, a strip steel flatness evaluation device, a medium and a cold-rolling unit. The method comprises the following steps: obtaining driving side stress values and operating side stress values of a to-be-evaluated strip steel at various sampling positions along a length direction; for each sampling position, calculating a difference value between the driving side stress value and the operating side stress value of the sampling position as a stress deviation value of the sampling position; and generating a stress deviation distribution map based on the stress deviation values of the various sampling positions, wherein the stress deviation distribution map is used for representing the distribution of stress deviations at the various sampling positions on the to-be-evaluated strip steel, so as to evaluate the asymmetry degree of the to-be-evaluated strip steel. The application can evaluate the asymmetry of the strip steel after cold rolling, and facilitate the subsequent process to make corresponding production adjustment for the strip steel, so as to improve the overall production efficiency of the strip steel cold rolling.

Description

Technical Field

[0001] This application relates to the field of cold-rolled strip steel production technology, and in particular to a strip steel shape evaluation method, apparatus, medium and cold rolling mill. Background Technology

[0002] As cold-rolled products continue to trend towards wider and thinner specifications, higher production speeds are required for subsequent processes like continuous annealing and galvanizing mills to improve efficiency. However, strip steel often deviates from its designated shape in these mills. When this deviation exceeds a certain level, the mills must be slowed down to gradually correct the deviation. This increases the strip's residence time in the furnace, prolonging the recrystallization process, resulting in coarser grains and impacting product performance. If the strip's shape is severely compromised, it can cause deviations in the continuous rolling and galvanizing mills to exceed extreme values, leading to serious production accidents such as strip breakage. Summary of the Invention

[0003] The purpose of this application is to provide a method, apparatus, medium and cold rolling mill for evaluating the shape of strip steel. This application can evaluate the asymmetry of strip steel after cold rolling, which facilitates subsequent processes to make corresponding production adjustments for the strip steel to improve the overall production efficiency of cold-rolled strip steel.

[0004] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part by practice of this application.

[0005] According to one aspect of the embodiments of this application, a strip shape evaluation method is provided, the method comprising: acquiring the transmission-side stress value and the operating-side stress value of the strip to be evaluated at each sampling position along the length direction; for each sampling position, calculating the difference between the transmission-side stress value and the operating-side stress value at each sampling position as the stress deviation value at each sampling position; generating a stress deviation distribution map based on the stress deviation values ​​at each sampling position, the stress deviation distribution map being used to characterize the distribution of stress deviation at each sampling position on the strip to be evaluated, so as to evaluate the degree of asymmetry of the strip to be evaluated.

[0006] In one embodiment of this application, based on the aforementioned scheme, before obtaining the transmission-side stress value and operating-side stress value of the strip to be evaluated at each sampling position along the length direction, the method further includes: during the process of the strip to be evaluated passing through the shape roller, measuring multiple shape stress values ​​of the strip to be evaluated along the width direction at each time point according to a preset time interval, to obtain a set of shape stress values ​​corresponding to each time point; for each set of shape stress values, dividing each set of shape stress values ​​into a transmission-side stress value set and an operating-side stress value set by the center line of the strip to be evaluated along the width direction; summing the shape stress values ​​in the transmission-side stress value set and the shape stress values ​​in the operating-side stress value set, respectively, to serve as the transmission-side stress value and the operating-side stress value at the corresponding sampling position.

[0007] In one embodiment of this application, based on the aforementioned scheme, before generating a stress deviation distribution map based on the stress deviation values ​​at each sampling location, the method further includes: normalizing the stress deviation values ​​at each sampling location to ensure that the stress deviation values ​​at each sampling location are within the range of [-1~1].

[0008] In one embodiment of this application, based on the aforementioned scheme, the stress deviation value at each sampling location is normalized using the following formula:

[0009] in, The normalized stress deviation value at any sampling location. For any sampling location, the stress deviation value before normalization is given. This represents the minimum stress deviation value of the strip steel to be evaluated before normalization. The maximum stress deviation value of the strip to be evaluated before normalization. The minimum interval boundary after normalization is represented by a value of -1. The maximum interval boundary after normalization is 1.

[0010] In one embodiment of this application, based on the aforementioned scheme, after generating a stress deviation distribution map based on the stress deviation values ​​at each sampling location, the method further includes: dividing the stress deviation distribution map by a preset segmentation length to obtain multiple stress deviation distribution intervals; for each stress deviation distribution interval, calculating the difference between the maximum stress deviation value and the minimum stress deviation value within each stress deviation distribution interval, as the interval range value of each stress deviation distribution interval; marking the stress deviation distribution intervals whose interval range value is greater than the preset range value as unqualified intervals; and displaying the distribution location of the unqualified intervals in the stress deviation distribution map.

[0011] In one embodiment of this application, based on the aforementioned scheme, after marking the stress deviation distribution intervals in the plurality of stress deviation distribution intervals whose interval range value is greater than a preset range value as unqualified intervals, the method further includes: counting the number of unqualified intervals and calculating the ratio between the number of unqualified intervals and the total number of stress deviation distribution intervals; if the ratio between the number of unqualified intervals and the total number of stress deviation distribution intervals exceeds a preset ratio, the strip steel to be evaluated is determined to be unqualified.

[0012] In one embodiment of this application, based on the aforementioned scheme, the preset segmentation length is positively correlated with the length of the strip to be evaluated.

[0013] According to one aspect of the embodiments of this application, a strip steel shape evaluation device is provided. The device includes: an acquisition unit, configured to acquire the transmission-side stress value and the operating-side stress value of the strip steel to be evaluated at each sampling position along the length direction; a calculation unit, configured to calculate the difference between the transmission-side stress value and the operating-side stress value at each sampling position as the stress deviation value at each sampling position; and a mapping unit, configured to generate a stress deviation distribution map based on the stress deviation values ​​at each sampling position, the stress deviation distribution map being used to characterize the distribution of stress deviation at each sampling position on the strip steel to be evaluated, so as to evaluate the degree of asymmetry of the strip steel to be evaluated.

[0014] According to one aspect of the embodiments of this application, a computer-readable storage medium is provided, wherein at least one piece of program code is stored therein, the at least one piece of program code being loaded and executed by a processor to perform the operations as described in the above embodiments.

[0015] According to one aspect of the embodiments of this application, a cold rolling mill is provided, the cold rolling mill including one or more processors and one or more memories, the one or more memories storing at least one piece of program code, the at least one piece of program code being loaded and executed by the one or more processors to perform the operations as described in the above embodiments.

[0016] In the technical solution of this application embodiment, the transmission-side stress value and the operating-side stress value of the strip are obtained at each sampling position. For each sampling position, the difference between the transmission-side stress value and the operating-side stress value is calculated and used as the stress deviation value for each sampling position. The stress deviation value characterizes the degree of asymmetry at each sampling position. The higher the degree of asymmetry, the greater the probability of strip shape defects, thus affecting the probability of strip deviation in subsequent processes. A stress deviation distribution map is generated based on the stress deviation values ​​of each sampling position. The stress deviation distribution map characterizes the stress deviation distribution of the strip at each sampling position. By observing the overall asymmetry of the entire strip and analyzing the asymmetry of local strip positions in detail, the deviation position and degree of the strip can be predicted. This allows for advance adjustment of production control in subsequent processes, reducing the risk of speed reduction and downtime in subsequent processes, and effectively improving the overall production efficiency and quality of the strip.

[0017] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating a strip shape evaluation method according to an embodiment of this application; Figure 2 This is a flowchart illustrating a method for obtaining the drive-side stress value and operating-side stress value of the strip to be evaluated at various sampling positions along the length direction, according to an embodiment of this application. Figure 3 This is a schematic diagram illustrating the measurement of multiple strip stress values ​​along the width direction of the strip using a strip roll according to an embodiment of this application; Figure 4 This is a flowchart illustrating a method for generating a stress deviation distribution map based on stress deviation values ​​at each sampling location, according to an embodiment of this application. Figure 5 This is a stress deviation distribution diagram after normalization of stress deviation values, as shown in the embodiments of this application. Figure 6 This is a block diagram of a strip shape evaluation device according to an embodiment of this application; Figure 7 This is a schematic diagram of a computer-readable storage medium according to an embodiment of this application; Figure 8 This is a schematic diagram of a cold rolling mill unit according to an embodiment of this application. Detailed Implementation

[0020] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.

[0021] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0022] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0023] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0024] It should be noted that "multiple" in this article refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0025] The implementation details of the technical solutions in the embodiments of this application are described in detail below: First, it should be noted that the strip shape evaluation method proposed in this application can be applied to the field of cold-rolled strip production technology. For example, during the production of subsequent units of the cold rolling mill, the strip deflection is highly random, making it difficult to control the production rhythm and adjust the production control mode. Therefore, the strip shape evaluation after passing through the cold rolling mill is particularly important.

[0026] According to one aspect of this application, a method for evaluating the shape of strip steel is provided. Figure 1 The flowchart below illustrates a strip shape evaluation method according to an embodiment of this application. This strip shape evaluation method can be executed by a device with computational processing capabilities. The strip shape evaluation method includes at least steps 110 to 130, which are described in detail below: Please refer to Figure 1 In step 110, the transmission side stress value and operating side stress value of the strip to be evaluated at each sampling position along the length direction are obtained.

[0027] In this application, the transmission side stress value and operating side stress value of the strip can be detected at each sampling position along the length direction by a plate roll. During the cold rolling production process, when the strip passes through the plate roll, the plate roll detects the transmission side stress value and operating side stress value at the corresponding position.

[0028] In step 120, for each sampling position, the difference between the transmission-side stress value and the operation-side stress value at each sampling position is calculated as the stress deviation value at each sampling position.

[0029] In this application, the stress deviation value is used to characterize the changing trend of the strip shape. The larger the stress deviation value, the greater the change in the strip shape. In subsequent processes, corresponding production settings can be made in advance for this sampling position.

[0030] In step 130, a stress deviation distribution map is generated based on the stress deviation values ​​at each sampling location. The stress deviation distribution map is used to characterize the distribution of stress deviation at each sampling location on the strip to be evaluated, so as to evaluate the degree of asymmetry of the strip to be evaluated.

[0031] In this application, a coordinate system is established with the strip length as the horizontal axis and the stress deviation value as the vertical axis. A stress deviation distribution map is generated by substituting the stress deviation values ​​at each sampling location. The stress deviation distribution map allows for a visual observation of the stress deviation changes at each sampling location along the strip's length. The stress deviation value characterizes the degree of asymmetry in the strip's shape along its length. Based on the stress deviation distribution map, the degree of asymmetry in the strip's shape can be directly determined. Subsequent processes can adjust production control in advance based on this asymmetry, preventing strip deviation. Furthermore, the stress deviation distribution map can determine whether the strip meets the production requirements of subsequent processes, avoiding substandard products in later processes due to unqualified raw materials, thus ensuring overall strip production efficiency.

[0032] In one embodiment of this application, before obtaining the transmission-side stress value and operating-side stress value of the strip to be evaluated at each sampling position along the length direction in step 110, the following can also be performed: Figure 2 The steps are shown.

[0033] Please refer to Figure 2 and Figure 3 , Figure 2 This is a flowchart illustrating a method for obtaining the drive-side stress value and the operating-side stress value of the strip to be evaluated at various sampling positions along the length direction, according to an embodiment of this application. Figure 3 This is a schematic diagram illustrating the measurement of multiple strip shape stress values ​​along the width direction of the strip using a strip shape roller according to an embodiment of this application. Specifically, it includes steps 101 to 103: Step 101: During the process of the strip steel to be evaluated passing through the shape roller, at a preset time interval, measure multiple shape stress values ​​of the strip steel to be evaluated along the width direction at each time point to obtain the set of shape stress values ​​corresponding to each time point.

[0034] Step 102: For each set of plate stress values, divide each set of plate stress values ​​into a set of transmission-side stress values ​​and a set of operating-side stress values ​​by using the centerline of the strip to be evaluated along the width direction.

[0035] Step 103: Sum the plate stress values ​​in the transmission side stress value set and the plate stress values ​​in the operation side stress value set, respectively, to obtain the transmission side stress value and operation side stress value at the corresponding sampling positions.

[0036] In this application, the shape roller can be positioned above the running strip and parallel to the width direction of the strip. During cold rolling production, the shape roller measures multiple shape stress values ​​along the width direction of the strip at regular time intervals, obtaining a set of shape stress values ​​at each sampling location corresponding to each time point. The sampling time interval can be set to 1.5 seconds. The set of shape stress values ​​is divided into a drive-side stress value set and an operating-side stress value set along the centerline of the strip along the width direction. The number of stress values ​​included in the drive-side stress value set and the operating-side stress value set should be equal, that is, the number of values ​​collected by the shape roller on both sides of the centerline of the strip along the width direction is equal. The sum of the shape stress values ​​in the drive-side stress value set is taken as the drive-side stress value at the corresponding sampling location, and the sum of the shape stress values ​​in the operating-side stress value set is taken as the operating-side stress value at the corresponding sampling location. Measuring multiple shape stress values ​​along the width direction of the strip using the shape roller can improve the data accuracy of the drive-side stress values ​​and the operating-side stress values, avoiding data deviations caused by detection position errors.

[0037] In one embodiment of this application, before generating a stress deviation distribution map based on the stress deviation values ​​at each sampling location in step 130, the following steps may be performed: normalizing the stress deviation values ​​at each sampling location to ensure that the stress deviation values ​​at each sampling location are within the range of [-1~1].

[0038] In this application, the stress deviation values ​​at each sampling location of the strip to be evaluated are calculated to be large and the differences between the data are large, which is not conducive to the plotting and layout of the chart. After normalizing the stress deviation values ​​at each sampling location, the stress deviation values ​​at each sampling location are in the range of [-1~1], which can simplify the plotting and layout of the chart, and at the same time reduce the computational capacity and computation time for subsequent calculations.

[0039] In one embodiment of this application, the stress deviation value at each sampling location is normalized using the following formula:

[0040] in, The normalized stress deviation value at any sampling location. For any sampling location, the stress deviation value before normalization is given. This represents the minimum stress deviation value of the strip steel to be evaluated before normalization. The maximum stress deviation value of the strip to be evaluated before normalization. The minimum interval boundary after normalization is represented by a value of -1. The maximum interval boundary after normalization is 1.

[0041] In this application, the stress deviation values ​​at each sampling location are normalized using the above formula, making it easier to identify and compare the differences between the data, while reducing the subsequent calculation process and simplifying the data.

[0042] In one embodiment of this application, after generating a stress deviation distribution map based on the stress deviation values ​​at each sampling location in step 130, the following can also be performed: Figure 4 The steps are shown.

[0043] Please refer to Figure 4 and Figure 5 ,, Figure 4 This is a flowchart illustrating a method for generating a stress deviation distribution map based on stress deviation values ​​at each sampling location, according to an embodiment of this application. Figure 5 This is a stress deviation distribution diagram after normalization of stress deviation values, as shown in the embodiments of this application. Specifically, it includes steps 101 to 103: Step 140: Divide the stress deviation distribution map into multiple stress deviation distribution intervals according to the preset segmentation length.

[0044] Step 150: For each stress deviation distribution interval, calculate the difference between the maximum stress deviation value and the minimum stress deviation value within each stress deviation distribution interval, and use it as the interval range value of each stress deviation distribution interval.

[0045] Step 160: Mark the stress deviation distribution intervals in the plurality of stress deviation distribution intervals whose interval range value is greater than the preset range value as unqualified intervals.

[0046] Step 170: Display the distribution location of the non-conforming intervals in the stress deviation distribution diagram.

[0047] In this application, after the stress deviation distribution map is generated, the overall asymmetry of the strip shape can be intuitively determined. To facilitate better local control of the strip in the next process, the stress deviation distribution map is divided according to a preset segmentation length, resulting in multiple stress deviation distribution intervals. The difference between the maximum and minimum stress deviation values ​​within each interval is used as the interval range. If the interval range is greater than the preset range, the interval is determined to be a non-conforming interval, and the location of the non-conforming interval is displayed on the stress deviation distribution map. This improves the local control of the strip production in subsequent processes, enabling effective strip correction operations and improving the production quality and efficiency of the strip.

[0048] The preset range value can be set according to the quality requirements of the strip steel to be evaluated. Generally, the preset range value can be set to... In one embodiment of this application, after marking the stress deviation distribution intervals with interval range values ​​greater than the preset range value among the more than 160 stress deviation distribution intervals as unqualified intervals, the following steps can be performed to determine whether the strip steel is qualified: count the number of unqualified intervals and calculate the ratio between the number of unqualified intervals and the total number of stress deviation distribution intervals; if the ratio between the number of unqualified intervals and the total number of stress deviation distribution intervals exceeds the preset ratio, the strip steel to be evaluated is determined to be unqualified.

[0049] In this application, after determining whether each stress deviation distribution interval is acceptable, the number of unacceptable intervals is counted. If the ratio of the number of unacceptable intervals to the total number of stress deviation distribution intervals is greater than a preset ratio, the strip steel to be evaluated is deemed unacceptable and prohibited from flowing into subsequent processes. This avoids the production of unacceptable products in subsequent processes, effectively improving the production efficiency of the entire strip steel production line and preventing the waste of production resources due to the production of unacceptable strip steel in subsequent processes. The preset ratio can be set according to actual production needs. For example, if the quality requirements of the finished strip steel are high, the preset ratio can be set to 0.05. If the ratio of the number of unacceptable intervals to the total number of stress deviation distribution intervals is greater than 0.05, the risk of unacceptable finished strip steel products in subsequent processes is high, and the strip steel to be evaluated should be prohibited from flowing into the next process to save production costs.

[0050] In one embodiment of this application, in step 140, the stress deviation distribution map is divided according to a preset segmentation length to obtain multiple stress deviation distribution intervals. The preset segmentation length is positively correlated with the length of the strip to be evaluated.

[0051] In this application, the longer the strip to be evaluated, the longer the preset segmentation length will be, making the stress deviation distribution range more reasonable, while reducing the amount of data processing in the later stage and improving the overall data processing speed. If it is a 2000-meter strip, the preset segmentation length can be set to 50 meters; if it is a 3000-meter strip, the preset segmentation length can be set to 60 meters.

[0052] In summary, in the technical solution of the embodiments of this application, during the production process of the strip steel to be evaluated in the cold rolling mill, the drive-side stress value and the operating-side stress value of the strip steel are measured by the plate shape roll. For each sampling position, the difference between the drive-side stress value and the operating-side stress value at each sampling position is calculated as the stress deviation value at each sampling position. The stress deviation value characterizes the degree of asymmetry at each sampling position. Based on the stress deviation values ​​of each sampling position, a stress deviation distribution map is generated. Through the stress deviation distribution map, the overall degree of asymmetry of the strip steel to be evaluated after cold rolling can be understood, providing a reference for the continuation of subsequent processes, and effectively improving the overall production quality and efficiency of the strip steel.

[0053] The following describes an embodiment of the apparatus described in this application, which can be used to execute the strip shape evaluation method described in the above embodiments of this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the strip shape evaluation method described above in this application.

[0054] Figure 6 A block diagram of a strip steel plate-shaped evaluation device according to an embodiment of this application is shown.

[0055] Reference Figure 6 As shown, a strip shape evaluation device 400 according to an embodiment of this application includes: an acquisition unit 401, a calculation unit 402, and a drawing unit 403.

[0056] The acquisition unit 401 is used to acquire the transmission-side stress value and the operating-side stress value of the strip to be evaluated at each sampling position along the length direction; the calculation unit 402 is used to calculate the difference between the transmission-side stress value and the operating-side stress value at each sampling position as the stress deviation value at each sampling position; the mapping unit 403 is used to generate a stress deviation distribution map based on the stress deviation value at each sampling position. The stress deviation distribution map is used to characterize the distribution of stress deviation at each sampling position on the strip to be evaluated, so as to evaluate the degree of asymmetry of the strip to be evaluated.

[0057] In another aspect, this application also provides a computer-readable storage medium storing a program product capable of implementing the strip shape evaluation method described above. In some possible embodiments, various aspects of this application can also be implemented as a program product comprising program code that, when run on a terminal device, causes the terminal device to perform the steps described in the "Exemplary Methods" section of this specification according to the various exemplary embodiments of this application.

[0058] refer to Figure 7 As shown, a program product 500 for implementing the above-described method according to an embodiment of this application is described. It may employ a portable compact disc read-only memory (CD-ROM) and include program code, and can run on a terminal device, such as a personal computer. However, the program product of this application is not limited thereto. In this application, the readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0059] The program product may employ any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0060] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium, capable of sending, propagating, or transmitting programs for use by or in conjunction with an instruction execution system, apparatus, or device.

[0061] The program code contained on the readable medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0062] Program code for performing the operations of this application can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0063] In another respect, this application also provides a cold rolling mill unit capable of implementing the above-described method.

[0064] Those skilled in the art will understand that various aspects of this application can be implemented as a system, method, or program product. Therefore, various aspects of this application can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, collectively referred to herein as a "circuit," "module," or "system."

[0065] The cold rolling mill 600 according to this embodiment of the present application will now be described with reference to 8. Figure 8 The cold rolling mill 600 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0066] like Figure 8 As shown, the cold rolling mill 600 is represented in the form of a general-purpose computing device. The components of the cold rolling mill 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, and a bus 630 connecting different system components (including storage unit 620 and processing unit 610).

[0067] The storage unit stores program code that can be executed by the processing unit 610, causing the processing unit 610 to perform the steps described in the "Embodiment Methods" section above according to various exemplary embodiments of this application.

[0068] Storage unit 620 may include readable media in the form of volatile storage units, such as random access memory (RAM) 621 and / or cache memory 622, and may further include read-only memory (ROM) 623.

[0069] Storage unit 620 may also include a program / utility 624 having a set (at least one) of program modules 625, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0070] Bus 630 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0071] The cold rolling mill 600 can also communicate with one or more external devices 1200 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable users to interact with the cold rolling mill 600, and / or any device that enables the cold rolling mill 600 to communicate with one or more other computing devices (e.g., routers, modems, etc.). This communication can be performed via input / output (I / O) interface 650. Furthermore, the cold rolling mill 600 can also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapter 660. As shown, network adapter 660 communicates with other modules of the cold rolling mill 600 via bus 630. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with the cold rolling mill 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0072] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, terminal device, or network device, etc.) to execute the methods according to the embodiments of this application.

[0073] Furthermore, the above figures are merely illustrative of the processes included in the method according to exemplary embodiments of this application, and are not intended to be limiting. It is readily understood that the processes shown in the above figures do not indicate or limit the temporal order of these processes. Additionally, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0074] It should be understood that this application is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A strip steel plate shape evaluation method characterized by, The method includes: During the process of the strip steel to be evaluated passing through the shape roller, multiple shape stress values ​​of the strip steel to be evaluated along the width direction are measured at each time point according to a preset time interval, so as to obtain the set of shape stress values ​​corresponding to each time point. For each set of plate stress values, the set of plate stress values ​​is divided into a set of transmission-side stress values ​​and a set of operating-side stress values ​​by using the centerline of the strip to be evaluated along the width direction; The plate stress values ​​in the transmission side stress value set and the plate stress values ​​in the operation side stress value set are summed respectively to be used as the transmission side stress value and operation side stress value at the corresponding sampling positions. Obtain the drive-side stress value and the operating-side stress value of the strip steel to be evaluated at each sampling position along the length direction; For each sampling position, the difference between the transmission-side stress value and the operation-side stress value at each sampling position is calculated, which is used as the stress deviation value at each sampling position. A stress deviation distribution map is generated based on the stress deviation values ​​at each sampling location. The stress deviation distribution map is used to characterize the distribution of stress deviation at each sampling location on the strip to be evaluated, so as to evaluate the degree of asymmetry of the strip to be evaluated. After generating a stress deviation distribution map based on the stress deviation values ​​at each sampling location, the method further includes: The stress deviation distribution map is divided according to a preset segmentation length to obtain multiple stress deviation distribution intervals. For each stress deviation distribution interval, the difference between the maximum stress deviation value and the minimum stress deviation value within each stress deviation distribution interval is calculated, and this difference is used as the interval range value for each stress deviation distribution interval. The stress deviation distribution intervals in which the range value of the interval is greater than the preset range value are marked as unqualified intervals; The distribution location of the non-conforming intervals is shown in the stress deviation distribution diagram.

2. The method according to claim 1, characterized in that, Before generating a stress deviation distribution map based on the stress deviation values ​​at each sampling location, the method further includes: The stress deviation value at each sampling location is normalized to ensure that the stress deviation value at each sampling location is within the range of [-1~1].

3. The method according to claim 2, characterized in that, The stress deviation value at each sampling location is normalized using the following formula: in, The normalized stress deviation value at any sampling location. For any sampling location, the stress deviation value before normalization is given. This represents the minimum stress deviation value of the strip steel to be evaluated before normalization. The maximum stress deviation value of the strip to be evaluated before normalization. The minimum interval boundary after normalization is represented by a value of -1. The maximum interval boundary after normalization is 1.

4. The method according to claim 1, characterized in that, After marking the stress deviation distribution intervals with interval range values ​​greater than a preset range value as unqualified intervals, the method further includes: Count the number of non-conforming intervals and calculate the ratio between the number of non-conforming intervals and the total number of stress deviation distribution intervals; If the ratio between the number of non-conforming intervals and the total number of stress deviation distribution intervals exceeds a preset ratio, the strip steel to be evaluated is deemed non-conforming.

5. The method according to claim 1, characterized in that, The preset segment length is positively correlated with the length of the strip to be evaluated.

6. A steel plate-shaped evaluation device, characterized in that, The device includes: The acquisition unit is used to measure multiple sheet stress values ​​along the width direction of the strip steel to be evaluated at preset time intervals during the process of the strip steel passing through the sheet stress roll, thereby obtaining a set of sheet stress values ​​corresponding to each time point; for each set of sheet stress values, the set of sheet stress values ​​is divided into a transmission side stress value set and an operation side stress value set by using the center line along the width direction of the strip steel to be evaluated; the sheet stress values ​​in the transmission side stress value set and the sheet stress values ​​in the operation side stress value set are summed respectively, and used as the transmission side stress value and operation side stress value at the corresponding sampling position; thus, the transmission side stress value and operation side stress value of the strip steel to be evaluated at each sampling position along the length direction are acquired; The calculation unit is used to calculate the difference between the transmission side stress value and the operation side stress value at each sampling position, as the stress deviation value at each sampling position. The mapping unit is used to generate a stress deviation distribution map based on the stress deviation values ​​at each sampling location. The stress deviation distribution map is used to characterize the distribution of stress deviation at each sampling location on the strip to be evaluated, so as to evaluate the degree of asymmetry of the strip to be evaluated. After generating a stress deviation distribution map based on the stress deviation values ​​at each sampling location, the mapping unit is further configured to: divide the stress deviation distribution map into multiple stress deviation distribution intervals according to a preset segmentation length; for each stress deviation distribution interval, calculate the difference between the maximum stress deviation value and the minimum stress deviation value within each interval, using this difference as the interval range value for each interval; mark the stress deviation distribution intervals whose interval range value is greater than the preset range value as unqualified intervals; and display the distribution locations of the unqualified intervals in the stress deviation distribution map.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one piece of program code, which is loaded and executed by a processor to perform the operations performed by the method as described in any one of claims 1 to 5.

8. A cold rolling mill unit, characterized in that, The cold rolling mill includes one or more processors and one or more memories, the one or more memories storing at least one piece of program code, which is loaded and executed by the one or more processors to perform the operation as described in any one of claims 1 to 5.

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