Parameter adjustment method and device for cold continuous rolling mill, medium and electronic equipment
By dividing the strip shaper roll into detection channels and using temperature sensors and infrared meters to correct the strip shape, the problem of inaccurate parameter adjustment in cold rolling mills was solved, achieving high-precision strip shape control and production stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHOUGANG ZHIXIN QIAN AN ELECTROMAGNETIC MATERIALS CO LTD
- Filing Date
- 2025-09-10
- Publication Date
- 2026-07-21
AI Technical Summary
In the rolling of medium and high grade non-oriented silicon steel and oriented silicon steel, the accuracy of parameter adjustment in cold continuous rolling mills is low, which leads to inaccurate plate shape detection, affecting product quality and the stability of unit operation.
Multiple detection channels are divided on the strip shaper roll, and temperature sensors and infrared thermometers are deployed. By acquiring the temperature values of the first and second detection positions of the strip, the stress influence is calculated using the strip shape temperature model, and the strip shape is corrected based on this, and the working parameters of the cold rolling mill are adjusted.
This improved the accuracy of parameter adjustments in the cold rolling mill, reduced the interference of channel temperature on strip shape detection, achieved accurate control of strip shape, and enhanced product quality and production stability.
Smart Images
Figure CN121339187B_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the technical field of cold rolling mills, and particularly relates to a parameter adjustment method, device, medium and electronic equipment for cold rolling mills. Background Technology
[0002] Cold rolling mills are gradually replacing single-stand mills in the rolling of medium and high grade non-oriented silicon steel and oriented silicon steel. When the first few passes of a cold rolling mill use warm rolling technology, the deformation heat of the strip is affected by the rolling speed and the emulsion flow rate. Due to limitations such as the space arrangement between stands, the roll gap exit temperature cannot be directly detected, and thermal stress affects the accuracy of strip shape measurement. Therefore, strip shape detection in the first few passes has become another key factor in improving the product quality and stabilizing the operation of silicon steel continuous rolling mills.
[0003] Therefore, the low accuracy of parameter adjustment in cold rolling mills is a technical problem that urgently needs to be solved. Summary of the Invention
[0004] The embodiments of this application provide a method, apparatus, medium, and electronic equipment for adjusting parameters of a cold rolling mill, which can at least to some extent improve the accuracy of parameter adjustment of the cold rolling mill.
[0005] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.
[0006] According to a first aspect of the embodiments of this application, a parameter adjustment method for a cold rolling mill is provided, the cold rolling mill including a shape gauge roll, wherein the shape gauge roll is divided into multiple detection channels along the vertical direction of the length of the shape gauge roll, the method comprising:
[0007] The first temperature value of the first detection position of the strip at the current moment in each of the detection channels, and the second temperature value of the second detection position of the strip, wherein the second detection position is the position of the strip after being transported by the shaper roller;
[0008] For each of the detection channels, the stress influence degree of the strip in the detection channel is determined based on the second temperature value, the strip parameters of the strip, and each first temperature value, wherein the stress influence degree is used to characterize the degree of interference of the channel temperature of the detection channel on the strip shape detection.
[0009] For each of the detection channels, the strip shape of the detected strip is corrected based on the stress influence degree of the detection channel to obtain the corrected strip shape of the detection channel;
[0010] The operating parameters of the cold rolling mill are adjusted based on the strip shape of each of the detection channels.
[0011] In some embodiments of this application, based on the foregoing scheme, determining the stress influence degree of the strip in the detection channel based on the second temperature value, the strip parameters, and each first temperature value for each detection channel includes: determining the stress influence degree of each detection channel using a plate shape temperature model based on the second temperature value, the strip parameters, and each first temperature value, wherein the plate shape temperature model establishes a correlation between the strip parameters and the target correction coefficient of the strip, and the plate shape temperature model is used to determine the stress influence degree of each detection channel based on the second temperature value, the target correction coefficient, and each first temperature value.
[0012] In some embodiments of this application, based on the foregoing scheme, the strip temperature model determines the stress influence degree of each detection channel based on the second temperature value, the target correction coefficient, and each first temperature value in the following manner: For each detection channel, the temperature deviation value of the second temperature value and the first temperature value of the detection channel are corrected based on the first correction coefficient to obtain an approximate temperature value of the strip in the detection channel, wherein the temperature deviation value is the deviation value of the second temperature value relative to each first temperature value, the target correction coefficient includes the first correction coefficient, and the first correction coefficient is the weighting coefficient of the detection channel; For each detection channel, the stress influence degree of the strip at the approximate temperature value of the detection channel is determined based on the second correction coefficient of the strip, wherein the target correction coefficient includes the second correction coefficient, and the second correction coefficient includes the linear expansion coefficient, elastic modulus, and unit tension of the strip.
[0013] In some embodiments of this application, based on the foregoing scheme, determining the stress influence degree of the strip steel under the approximate temperature value in the detection channel based on the second correction coefficient of the strip steel includes: calculating the product of the linear expansion coefficient, the elastic modulus of the strip steel, and the approximate temperature value as the reference strip steel stress in the detection channel, wherein the reference strip steel stress is the internal stress of the strip steel after being affected by the temperature of the cold rolling mill; and calculating the ratio of the reference strip steel stress to the unit tension of the strip steel as the stress influence degree.
[0014] In some embodiments of this application, based on the foregoing scheme, a piezoelectric sensor is deployed in each detection channel of the strip shape measuring roller. The step of correcting the detected strip shape based on the stress influence degree of the detection channel to obtain the corrected strip shape of the detection channel includes: determining the detected strip shape of the strip through the piezoelectric sensor deployed in the detection channel; determining the corrected strip shape based on the detected strip shape and the stress influence degree, wherein the corrected strip shape is the strip shape of the detected strip after eliminating the stress influence degree.
[0015] In some embodiments of this application, based on the foregoing scheme, adjusting the operating parameters of the cold rolling mill based on the corrected strip shape of each detection channel includes at least one of the following: for each detection channel, determining the emulsion flow rate of the detection channel based on the corrected strip shape of the detection channel, wherein the operating parameters include the emulsion flow rate; determining the target equipment parameters of the target unit equipment included in the cold rolling mill based on the corrected strip shape of each detection channel.
[0016] In some embodiments of this application, based on the foregoing scheme, the strip shaper roller is deployed between the first frame and the second frame, a temperature sensor is deployed on each detection channel, and an infrared thermometer is deployed between the strip shaper roller and the second frame. The step of obtaining the first temperature value of the first detection position of the strip at each detection channel and the second temperature value of the strip at the second detection position at the current moment includes: for each detection channel, obtaining the first temperature value of the first detection position at the current moment through the temperature sensor deployed on the detection channel; and obtaining the second temperature value of the second detection position at the current moment through the infrared thermometer.
[0017] According to a second aspect of the embodiments of this application, a parameter adjustment device for a cold rolling mill is provided. The cold rolling mill includes a shape gauge roll, and the shape gauge roll is divided into multiple detection channels along the vertical direction of its length. The device includes:
[0018] The acquisition module is used to acquire the first temperature value of the first detection position of the strip at each of the detection channels at the current moment, and the second temperature value of the second detection position of the strip, wherein the second detection position is the position of the strip after being transmitted by the shaper roller;
[0019] The determination module is used to determine the stress influence degree of the strip in the detection channel for each detection channel based on the second temperature value, the strip parameters of the strip, and each first temperature value, wherein the stress influence degree is used to characterize the degree of interference of the channel temperature of the detection channel on the strip shape detection.
[0020] A correction module is used to correct the strip shape of the strip for each detection channel based on the stress influence degree of the detection channel to obtain the corrected strip shape of the detection channel.
[0021] An adjustment module is used to adjust the operating parameters of the cold rolling mill based on the shape of the corrected strip in each of the detection channels.
[0022] According to a third aspect of the embodiments of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing at least one computer program instruction, the at least one computer program instruction being loaded and executed by a processor to perform the operation as described in any of the first aspects above.
[0023] According to a fourth aspect of the present application, an electronic device is provided, the electronic device including one or more processors and one or more memories, the one or more memories storing at least one computer program instruction, the at least one computer program instruction being loaded and executed by the one or more processors to implement the method described in any of the embodiments of the first aspect above.
[0024] In this application, the cold rolling mill includes a shaper roll, which is divided into multiple detection channels along the vertical direction of its length. The mill acquires a first temperature value at a first detection position of the strip in each detection channel and a second temperature value at a second detection position of the strip, where the second detection position is the strip position after transmission through the shaper roll. For each detection channel, the stress influence degree of the strip in the detection channel is determined based on the second temperature value, the strip parameters, and each first temperature value. The stress influence degree characterizes the degree of interference of the channel temperature on the strip shape detection. The detected strip shape is corrected based on the stress influence degree to obtain a corrected strip shape. The operating parameters of the cold rolling mill are adjusted based on the corrected strip shape. In other words, by obtaining the first temperature value of the strip at the first detection position of the strip shaper roll in the detection channel, and the second temperature value at the second detection position after the strip shaper roll, the strip shape is corrected based on the first and second temperature values. The corrected strip shape is then used to adjust the working parameters of the cold rolling mill. Since the interference of the channel temperature of the detection channel on the strip shape detection is reduced, the accuracy of the cold rolling mill parameter adjustment is improved.
[0025] 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
[0026] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:
[0027] Figure 1 A schematic diagram of a cold rolling mill unit to which embodiments of this application can be applied is shown;
[0028] Figure 2 A flowchart of the parameter adjustment method for a cold rolling mill unit in an embodiment of this application is shown;
[0029] Figure 3 A schematic diagram of a plate shape measuring roller divided into 7 detection channels is shown in an embodiment of this application;
[0030] Figure 4 A schematic diagram of the emulsion flow control method in an embodiment of this application is shown;
[0031] Figure 5 A flowchart illustrating the parameter adjustment process of the cold rolling mill unit in an embodiment of this application is shown;
[0032] Figure 6 A block diagram of the parameter adjustment device of the cold rolling mill unit in an embodiment of this application is shown;
[0033] Figure 7 A schematic diagram of the structure of an electronic device in an embodiment of this application is shown. Detailed Implementation
[0034] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0035] 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.
[0036] 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.
[0037] 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.
[0038] 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.
[0039] It should also be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such uses of these terms can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described.
[0040] To enable those skilled in the art to better understand this application, firstly, in conjunction with Figure 1 A brief description of the application scenarios involved in this application is provided.
[0041] Achieving accurate detection and control of the strip shape at the roll gap exit has always been a challenging problem for rolling mill technicians and equipment personnel. Taking a silicon steel cold continuous rolling mill as an example... Figure 1 A schematic diagram of a cold rolling mill unit that can be applied to embodiments of this application is shown, such as... Figure 1As shown, a strip shape measuring roller is arranged at the exit of stand 1. Currently, due to the influence of internal stress in the strip, the strip shape measuring roller exhibits distortion during the detection process, with drastic changes in strip shape between adjacent scanning cycles. After increasing the emulsion flow rate, the trend of strip shape jumping is significantly improved. However, at this time, because a large amount of deformation heat is carried away by the emulsion, the strip loses the stable state of the warm rolling process and is prone to brittle fracture accidents. Therefore, skilled rolling mill operators can only manually control the strip shape based on experience. On the one hand, this increases the difficulty of operation for the workers. On the other hand, due to the differences in experience during the rolling process of different thicknesses and grades, it is impossible to summarize and solidify experience. Improving operational skills has become a bottleneck, and the stable operation of the production line is constrained.
[0042] To ensure a stable rolling process, cold continuous rolling mills typically use high reduction rates and closed-oil systems in the earlier passes to reduce strip temperature loss. However, due to the influence of factors such as changes in the relative flow rate of the emulsion at different rolling speeds, the strip temperature at the roll gap exit cannot be directly obtained. Space constraints prevent the addition of strip temperature detection devices at the roll gap exit, and the stress generated by the temperature interferes with the accuracy of shape detection, thus limiting product quality improvement and stability.
[0043] In this application, the strip steel is rolled out from the roll gap of frame 1, passes through the shape measuring roller, and enters the roll gap of frame 2. Temperature sensors are deployed on each detection channel of the shape measuring roller to detect the first temperature value of the strip steel. An infrared thermometer is independently installed downstream of the shape measuring roller (at a distance of about 0.5 to 1 m) to detect the temperature of the middle part of the strip steel (i.e., the second temperature value) in a non-contact manner. The strip steel shape is corrected based on the first and second temperature values.
[0044] Figure 2 A flowchart illustrating a parameter adjustment method for a cold rolling mill according to an embodiment of this application is shown. The cold rolling mill includes a shape gauge roll, which is divided into multiple detection channels along the vertical direction of its length. This parameter adjustment method for the cold rolling mill can be executed by a device with computational processing capabilities. (Refer to...) Figure 2 As shown, the parameter adjustment method for this cold rolling mill unit includes:
[0045] Step 201: Obtain the first temperature value of the first detection position of the strip at each of the detection channels at the current moment, and the second temperature value of the second detection position of the strip, wherein the second detection position is the position of the strip after being transmitted by the shaper roller;
[0046] Step 202: For each detection channel, the stress influence degree of the strip in the detection channel is determined based on the second temperature value, the strip parameters of the strip, and each first temperature value, wherein the stress influence degree is used to characterize the degree of interference of the channel temperature of the detection channel on the strip shape detection.
[0047] Step 203: For each detection channel, the strip shape of the detected strip is corrected based on the stress influence degree of the detection channel to obtain the corrected strip shape of the detection channel;
[0048] Step 204: Adjust the operating parameters of the cold rolling mill based on the corrected strip shape of each detection channel.
[0049] Through the above steps, by obtaining the first temperature value of the strip at the first detection position in the detection channel of the strip shaper roll, and the second temperature value at the second detection position after the strip shaper roll, the strip shape is corrected based on the first and second temperature values. The corrected strip shape is then used to adjust the working parameters of the cold rolling mill. Since the interference of the channel temperature of the detection channel on the strip shape detection is reduced, the accuracy of the cold rolling mill parameter adjustment is improved.
[0050] Optionally, in this embodiment, since the strip tension is high in the first pass of silicon steel rolling, iron powder, rolling oil and other substances attached to the strip surface will be squeezed to the roll gap connection of the shaper roller under high tension. Therefore, the roll surface of the shaper roller needs to be integrated. However, in order to meet the detection requirements of the shaper roller in the strip width direction, the piezoelectric sensor inside the shaper roller needs to be arranged in segments according to the strip width. Figure 3 A schematic diagram of a plate shape measuring roller divided into 7 detection channels is shown in an embodiment of this application, as follows: Figure 3 As shown, seven temperature sensors are arranged in the shape measuring roller according to the width specifications, with one set in the middle of the roller and the rest arranged at 200mm intervals in the transverse direction.
[0051] Temperature detection signals and shaper roller detection signals are synchronously transmitted to the shaper control system via a conversion unit, and then transmitted to the production line automation system via a network.
[0052] Optionally, in this embodiment, the above-mentioned cold rolling mill is a rolling equipment consisting of multiple stands (usually 3 to 6 stands) connected in series, used to continuously roll metal strips (such as silicon steel, stainless steel, aluminum strip, etc.) at room temperature or low temperature (warm rolling process) to achieve thickness reduction, shape control and performance optimization.
[0053] Optionally, in this embodiment, the aforementioned strip shape measuring roller is a measuring roller installed between the frames, used to detect the thickness distribution and strip shape (flatness) of the strip in the transverse (width direction) direction in real time.
[0054] Optionally, in this embodiment, the detection channel is formed by dividing the shape measuring roller along the axial direction (width direction) into multiple independent detection zones, each zone corresponding to one detection channel. The detection channels can be uniformly distributed or non-uniformly distributed (e.g., denser at the edges). The embodiment in this application uses a 200mm equal spacing.
[0055] In the embodiment provided in step 201, the aforementioned "current moment" refers to a specific point in time during the rolling process when the system collects and controls data. It is typically recorded with millisecond-level precision, for example, data is collected in 100ms cycles. At the end of each cycle, the shape gauge roll records the temperature across 7 channels, and the infrared thermometer records the temperature at the center. This "current moment" can be used, but is not limited to, to synchronize temperature, shape, and other data at different positions of the strip, ensuring time alignment (e.g., data matching between the shape gauge roll and the infrared thermometer).
[0056] Optionally, in this embodiment, the strip steel is a metal strip processed by a cold rolling mill, which may include, but is not limited to, silicon steel.
[0057] Optionally, in this embodiment, the first detection position is the area where the shaper roller contacts the strip. The first temperature value is obtained by detecting the surface temperature of the strip using the built-in temperature sensor of the shaper roller. That is, the first temperature value is the temperature of the strip at various points in the transverse direction measured at the first detection position.
[0058] Optionally, in this embodiment, the second detection position is the strip position detected by the infrared thermometer. It can, but is not limited to, form a "dual temperature measuring point" with the first detection position to correct the temperature hysteresis error of the shape measuring roller.
[0059] Optionally, in this embodiment, the second temperature value is the actual temperature of the middle part of the strip measured by an infrared thermometer at the second detection position.
[0060] In one embodiment of this application, the strip shaper roller is deployed between a first frame and a second frame. A temperature sensor is deployed on each detection channel, and an infrared thermometer is deployed between the strip shaper roller and the second frame. The first temperature value of the first detection position of the strip at each detection channel and the second temperature value of the strip at the second detection position at the current moment can be obtained, but are not limited to, by the following methods: for each detection channel, the first temperature value of the first detection position at the current moment is obtained by the temperature sensor deployed on the detection channel; the second temperature value of the second detection position at the current moment is obtained by the infrared thermometer.
[0061] Optionally, in this embodiment, taking the division of the strip shaper roller into 7 detection channels along the vertical direction of the strip shaper roller length as an example, infrared thermometers are deployed in the 7 detection channels respectively. The infrared thermometers detect the first temperature value of the first detection position corresponding to the strip to obtain 7 first temperature values; and the infrared thermometers are used to obtain the second temperature value of the second detection position of the strip.
[0062] In the embodiment provided in step 202, the stress influence degree is a dimensionless parameter that quantifies the degree of interference of thermal stress generated by temperature gradient during the rolling process of strip steel on the plate shape detection.
[0063] In one embodiment of this application, the stress influence of the strip in each detection channel can be determined, but is not limited to, in the following manner, based on the second temperature value, the strip parameters, and each first temperature value: the stress influence of each detection channel is determined by a plate shape temperature model based on the second temperature value, the strip parameters, and each first temperature value, wherein the plate shape temperature model establishes a correlation between the strip parameters and the target correction coefficient of the strip, and the plate shape temperature model is used to determine the stress influence of each detection channel based on the second temperature value, the target correction coefficient, and each first temperature value.
[0064] Optionally, in this embodiment, the training process of the above-mentioned strip temperature model includes: acquiring sample temperature values, sample strip parameters, and sample strip parameters, wherein the sample temperature values include the first sample temperature at the first detection position and the second sample temperature at the second detection position; performing at least one training operation based on the sample temperature values, sample strip parameters, and sample strip parameters until the training termination condition is met; and using the model that meets the training condition as the strip temperature model; wherein the training operation includes: inputting the sample temperature values, sample strip parameters, and sample strip parameters into the initial model to obtain the predicted influence degree; determining the difference information between the predicted influence degree and the sample influence degree; adjusting the parameters of the initial model based on the difference information; and using the initial model with adjusted parameters as the initial model corresponding to the next training operation.
[0065] It should be noted that the above-mentioned strip temperature model can be a mathematical model that allows the determination of the stress influence of the strip in the detection channel based on the second temperature value, the strip parameters, and each of the first temperature values, or it can be a network model with the above-mentioned functions.
[0066] In one embodiment of this application, the strip temperature model can, but is not limited to, determine the stress influence degree of each detection channel based on the second temperature value, the target correction coefficient, and each of the first temperature values in the following manner: For each detection channel, the temperature deviation value of the second temperature value and the first temperature value of the detection channel are corrected based on the first correction coefficient to obtain an approximate temperature value of the strip in the detection channel, wherein the temperature deviation value is the deviation value of the second temperature value relative to each of the first temperature values, the target correction coefficient includes the first correction coefficient, and the first correction coefficient is a weighting coefficient of the detection channel; For each detection channel, the stress influence degree of the strip at the approximate temperature value of the detection channel is determined based on the second correction coefficient of the strip, wherein the target correction coefficient includes the second correction coefficient, and the second correction coefficient includes the linear expansion coefficient, elastic modulus, and unit tension of the strip.
[0067] Optionally, in this embodiment, the temperature deviation value of the second temperature value can be calculated in the following ways, but not limited to: determining the temperature value detected by the middle channel of the plate shaper roller as the above-mentioned reference temperature value; and determining the temperature deviation value of the second temperature value based on the reference temperature value.
[0068] Alternatively, the average of each first temperature value is calculated as a reference temperature value; the temperature deviation value of the second temperature value is determined based on the reference temperature value.
[0069] Optionally, in this embodiment, the approximate temperature of the strip in the detection channel is obtained by correcting the temperature deviation of the second temperature value and the first temperature value of the detection channel based on the first correction coefficient, including: calculating a first product of the first correction coefficient and the temperature deviation value, and calculating a second product of the first correction coefficient and the first temperature value; and calculating the sum of the first product and the second product as the approximate temperature value.
[0070] Optionally, in this embodiment, the first correction coefficient can be determined based on strip parameters combined with experimental calibration and online adaptive methods, but not limited to.
[0071] In one embodiment of this application, the stress influence degree of the strip at the approximate temperature in the detection channel can be determined, but is not limited to, based on a second correction coefficient of the strip, by: calculating the product of the linear expansion coefficient, the elastic modulus of the strip, and the approximate temperature as a reference strip stress in the detection channel, wherein the reference strip stress is the internal stress of the strip after being affected by the temperature of the cold rolling mill; and calculating the ratio of the reference strip stress to the unit tension of the strip as the stress influence degree.
[0072] Optionally, in this embodiment, taking the division of the shape gauge roller into 7 detection channels as an example, the shape temperature model can determine the stress influence degree in the following ways, but is not limited to:
[0073] Through formula T n '=a n *(T n +T Φ ) and formula T Φ =T 0C -T0 determines the approximate temperature of the strip at point 7 on the cross section of the strip shaper roll, where T Φ T represents the temperature deviation between the mid-infrared thermometer and the built-in central temperature sensor. 0C T0 is the temperature detected by the built-in central temperature sensor (i.e., the first temperature value), and T0 is the temperature detected by the infrared thermometer (i.e., the second temperature value). n 'a' represents the approximate temperature of the strip at the cross-section of the strip forming roller. n T is the correction factor for the temperature sensor of the plate shaper roller (i.e., the first correction factor). n The real-time detection value of the built-in temperature sensor (i.e., the first temperature value) is denoted by n, which is the detection channel number (3W, 2W, 1W, 0C, 1D, 2D, 3D).
[0074] Based on σ n =β*E*ΔT≈β*E*T n ', and formula Ψ n =σ n / T tension Determine the influence factor Ψ of internal stress in strip steel under the above approximate temperature values. n (i.e., stress influence), where σ n Where β is the thermal stress of the strip, β is the coefficient of linear expansion (the effect of expansion in the thickness direction is ignored here), E is the elastic modulus of the strip, and T is the thermal stress of the strip. tension To obtain the real-time strip shape after temperature compensation correction, the strip shape is corrected by combining the internal stress influence factor with the unit tension of the strip at the stand exit.
[0075] It should be noted that the reflectivity σ varies depending on the type of rolled steel, with a classic value of 0.4.
[0076] Furthermore, the above formula is modified to include the ideal thermal stress value (β*E*T). n ') Reduced by about 5% to make it closer to the real physical situation, that is, through the formula σ n =β*E*ΔT / 1.05≈β*E*T n ' / 1.05 determines σ n .
[0077] In the embodiment provided in step 203, the core of strip shape detection is to measure the tension distribution difference or thickness change of the strip in the width direction and convert it into strip shape indicators (such as I-unit, stress difference, etc.) through mechanical or geometric signals.
[0078] In one embodiment of this application, a piezoelectric sensor is deployed in each detection channel of the strip shape measuring roller. The corrected strip shape of the detection channel can be obtained by correcting the detected strip shape based on the stress influence degree of the detection channel in the following manner, but not limited to: determining the detected strip shape of the strip by the piezoelectric sensor deployed in the detection channel; determining the corrected strip shape based on the detected strip shape and the stress influence degree, wherein the corrected strip shape is the strip shape of the detected strip after eliminating the stress influence degree.
[0079] Optionally, in this embodiment, taking the arrangement of multiple sets of piezoelectric sensors (e.g., 7 channels, spaced 200mm apart) along the axial direction (width direction) of the strip shaper roller, with each sensor corresponding to a detection area (e.g., channel 3W detects the left side of the strip) as an example, the strip shape can be determined by the piezoelectric sensors deployed in the detection channels in the following manner, but not limited to: when the strip wraps around the strip shaper roller, local pressure acts on the piezoelectric sensors, generating an electrical signal (voltage V). n Based on the pre-established pressure-tension relationship, the tension value corresponding to the voltage is determined as the shape of the steel strip to be detected.
[0080] Optionally, in this embodiment, determining the corrected strip shape based on the detected strip shape and the stress influence degree may include, but is not limited to: if the stress influence degree increases the strip shape, then the difference between the detected strip shape and the stress influence degree is calculated as the corrected strip shape; or, if the stress influence degree decreases the strip shape, then the sum of the detected strip shape and the stress influence degree is calculated as the corrected strip shape.
[0081] In the embodiment provided in step 204, the operating parameters of the above-mentioned cold rolling mill may include, but are not limited to, the emulsion flow rate of the edge channel, the tilt of the work roll, etc.
[0082] In one embodiment of this application, the operating parameters of the cold rolling mill can be adjusted based on at least one of the following methods, but not limited to: for each detection channel, determining the emulsion flow rate of the detection channel based on the corrected strip shape of the detection channel, wherein the operating parameters include the emulsion flow rate; and determining the target equipment parameters of the target unit equipment included in the cold rolling mill based on each corrected strip shape.
[0083] Optionally, in this embodiment, a strip shape and emulsion flow rate with a corresponding relationship can be pre-constructed, and the emulsion flow rate after the detection channel adjustment can be determined based on the corrected strip shape. Additionally, a strip shape, unit equipment, and equipment parameters with a corresponding relationship can be pre-constructed, and the target unit equipment to be adjusted and the adjusted target equipment parameters can be determined based on the corrected strip shape.
[0084] It should be noted that the aforementioned target unit equipment may include, but is not limited to, the work rolls. The aforementioned target equipment parameters may include, but are not limited to, the work roll inclination.
[0085] Optionally, in this embodiment, Figure 4 A schematic diagram of the emulsion flow control method in an embodiment of this application is shown, such as... Figure 4 As shown, the strip shape detected by the strip shape roller is corrected by combining the internal stress influence factor to obtain the real-time strip shape after temperature compensation correction. The spray beam for cooling the roll gap at the front of the stand is modified. Compared with the arrangement of the built-in temperature sensor of the strip shape measuring roller, the spray beam is segmented. To reduce equipment investment, 3W and 3D, 2W and 2D, and 1W and 1D can be combined for control respectively. Therefore, the spray beam can be controlled in a 7-segment, 4-independent control mode. Through practice, it was found that the control effect of 1W and 1D in the middle is minimal. Therefore, the spray beam is set to a 5-segment, 3-independent control mode. The flow rate of the emulsion in the 5 segments is controlled in a closed loop by the strip shape under stress relief, thereby realizing the coupled control of strip temperature and strip shape.
[0086] To help those skilled in the art better understand the parameter adjustment methods for the aforementioned cold rolling mill, the following will be combined with... Figure 5 To explain,
[0087] Figure 5 A flowchart illustrating the parameter adjustment process of the cold rolling mill unit in an embodiment of this application is shown, as follows: Figure 5 As shown, the parameter adjustment process for the cold rolling mill can be performed through, but is not limited to, the following steps:
[0088] Step 501: Obtain real-time detection data (first temperature value) of strip shape and temperature of the strip, as well as temperature detection data (second temperature value);
[0089] Step 502: Based on real-time plate temperature detection data and temperature detection data, obtain the strip temperature at the stand exit (approximate temperature value) through the plate shape temperature model;
[0090] Step 503: Determine the stress influence degree based on the strip temperature at the rack exit using a plate temperature model;
[0091] Step 504: After coupling the stress influence degree and the temperature of the detected strip shape, the actual strip shape is obtained (corrected strip shape);
[0092] Step 505: Call the ASC plate shape control logic to control the bending roll, the shifting roll, and the 5-segment 3-independent emulsion cooling.
[0093] The technical solution proposed in this application achieves high-precision strip shape control in the cold continuous rolling process of silicon steel by embedding a temperature sensor within the strip shaper roll and establishing a temperature-stress-strip shape coupling correction model. This method first calculates the temperature deviation using multi-channel temperature detection and infrared thermography data, then performs dual correction on the detected values using a first correction coefficient and a second correction coefficient to obtain an accurate strip temperature field and thermal stress distribution. Next, it combines internal stress influence factors to perform real-time compensation on the strip shape detection signal, eliminating thermal stress interference. Finally, based on the corrected actual strip shape, closed-loop control is achieved through segmented cooling and dynamic adjustment of rolling force. This enables real-time detection of accurate strip shape during the silicon steel warm rolling process and avoids the emulsion being squeezed into the gap between the strip shaper roll rings under high tension, causing channel adhesion and measurement distortion.
[0094] The following describes an embodiment of the apparatus described in this application, which can be used to execute the parameter adjustment method for the cold rolling mill 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 parameter adjustment method for the cold rolling mill described above in this application.
[0095] See Figure 6 The diagram shows a block diagram of the parameter adjustment device for a cold rolling mill in an embodiment of this application.
[0096] like Figure 6 As shown, according to an embodiment of this application, a parameter adjustment device (600) for a cold rolling mill includes a shape gauge roll, which is divided into multiple detection channels along the vertical direction of its length, including:
[0097] The module includes the acquisition module 601, the determination module 602, the correction module 603, and the adjustment module 604.
[0098] The system includes: an acquisition module for acquiring the first temperature value of the first detection position of the strip in each detection channel at the current moment, and the second temperature value of the second detection position of the strip, wherein the second detection position is the position of the strip after being transported by the shape measuring roller; a determination module for determining the stress influence degree of the strip in each detection channel based on the second temperature value, the strip parameters, and each first temperature value, wherein the stress influence degree characterizes the degree of interference of the channel temperature of the detection channel on the strip shape detection; a correction module for correcting the strip shape of the detected strip in each detection channel based on the stress influence degree of the detection channel to obtain the corrected strip shape of the detection channel; and an adjustment module for adjusting the operating parameters of the cold rolling mill based on the corrected strip shape of each detection channel.
[0099] In some embodiments of this application, based on the foregoing scheme, the determining module is further configured to: determine the stress influence degree of each detection channel based on the second temperature value, the strip parameters, and each of the first temperature values, using a plate shape temperature model, wherein the plate shape temperature model constructs a correlation between the strip parameters and the target correction coefficient of the strip, and the plate shape temperature model is used to determine the stress influence degree of each detection channel based on the second temperature value, the target correction coefficient, and each of the first temperature values.
[0100] In some embodiments of this application, based on the foregoing scheme, the determining module is further configured to: for each detection channel, correct the temperature deviation value of the second temperature value and the first temperature value of the detection channel based on a first correction coefficient to obtain an approximate temperature value of the strip steel in the detection channel, wherein the temperature deviation value is the deviation value of the second temperature value relative to each of the first temperature values, the target correction coefficient includes the first correction coefficient, and the first correction coefficient is a weighting coefficient of the detection channel; for each detection channel, determine the stress influence degree of the strip steel under the approximate temperature value of the detection channel based on a second correction coefficient of the strip steel, wherein the target correction coefficient includes the second correction coefficient, and the second correction coefficient includes the linear expansion coefficient, elastic modulus, and unit tension of the strip steel.
[0101] In some embodiments of this application, based on the foregoing scheme, the determining module is further configured to: calculate the product of the linear expansion coefficient, the elastic modulus of the strip, and the approximate temperature value as the reference strip stress of the strip in the detection channel, wherein the reference strip stress is the internal stress of the strip after being affected by the temperature of the cold rolling mill; and calculate the ratio of the reference strip stress to the unit tension of the strip as the stress influence degree.
[0102] In some embodiments of this application, based on the foregoing scheme, a piezoelectric sensor is deployed in each detection channel of the strip shape measuring roller, and the correction module is further configured to: determine the detected strip shape of the strip by means of the piezoelectric sensor deployed in the detection channel; determine the corrected strip shape based on the detected strip shape and the stress influence degree, wherein the corrected strip shape is the strip shape of the detected strip after the stress influence degree has been eliminated.
[0103] In some embodiments of this application, based on the foregoing scheme, the adjustment module is further configured to: for each detection channel, determine the emulsion flow rate of the detection channel based on the corrected strip shape of the detection channel, wherein the operating parameters include the emulsion flow rate; and determine the target equipment parameters of the target unit equipment included in the cold rolling mill based on each corrected strip shape.
[0104] In some embodiments of this application, based on the foregoing scheme, the plate shape measuring roller is deployed between the first frame and the second frame, a temperature sensor is deployed on each of the detection channels, and an infrared plate thermometer is deployed between the plate shape measuring roller and the second frame. The acquisition module is further configured to: for each detection channel, acquire the first temperature value of the first detection position at the current moment through the temperature sensor deployed on the detection channel; and acquire the second temperature value of the second detection position at the current moment through the infrared plate thermometer.
[0105] Based on the same inventive concept, embodiments of this application provide a computer-readable storage medium storing at least one computer program instruction, which is loaded and executed by a processor to perform the operations described above.
[0106] Based on the same inventive concept, this application also provides an electronic device, see reference. Figure 7 The diagram shows a schematic of the structure of an electronic device according to an embodiment of this application. The electronic device includes one or more memories 704, one or more processors 702, and at least one computer program (computer program instruction) stored in the memory 704 and executable on the processor 702. When the processor 702 executes the computer program, it implements the method described above.
[0107] Among them, Figure 7In this document, a bus architecture (represented by bus 700) is used. Bus 700 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 702 and memory represented by memory 704. Bus 700 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 705 provides an interface between bus 700 and receiver 701 and transmitter 703. Receiver 701 and transmitter 703 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 702 is responsible for managing bus 700 and general processing, while memory 704 can be used to store data used by processor 702 during operation.
[0108] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and embodiments are within the scope and spirit of this application and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or any combination thereof. Furthermore, the functional units may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit.
[0109] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.
[0110] The units described as separate components may or may not be physically separate. Similarly, the components of the control device may or may not be physical units; they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.
[0111] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing computer program instructions, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.
[0112] The above description is merely an embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for adjusting parameters of a cold continuous rolling mill, characterized in that, The cold rolling mill includes a shape gauge roll, which is divided into multiple detection channels along the vertical direction of its length. The method includes: The first temperature value of the first detection position of the strip at the current moment in each of the detection channels, and the second temperature value of the second detection position of the strip, wherein the second detection position is the position of the strip after being transported by the shaper roller; For each of the detection channels, the stress influence degree of the strip in the detection channel is determined based on the second temperature value, the strip parameters of the strip, and each first temperature value, wherein the stress influence degree is used to characterize the degree of interference of the channel temperature of the detection channel on the strip shape detection. For each of the detection channels, the strip shape of the detected strip is corrected based on the stress influence degree of the detection channel to obtain the corrected strip shape of the detection channel; The operating parameters of the cold rolling mill are adjusted based on the strip shape correction of each of the detection channels. For each of the detection channels, determining the stress influence of the strip in the detection channel based on the second temperature value, the strip parameters, and each of the first temperature values includes: Based on the second temperature value, the strip parameters, and each of the first temperature values, the stress influence degree of each of the detection channels is determined by a plate shape temperature model. The plate shape temperature model establishes a correlation between the strip parameters and the target correction coefficient of the strip. The plate shape temperature model is used to determine the stress influence degree of each of the detection channels based on the second temperature value, the target correction coefficient, and each of the first temperature values. The plate temperature model determines the stress influence of each detection channel based on the second temperature value, the target correction coefficient, and each of the first temperature values in the following manner: For each of the detection channels, an approximate temperature of the strip in the detection channel is obtained by correcting the temperature deviation of the second temperature value and the first temperature value of the detection channel based on the first correction coefficient, wherein the temperature deviation is the deviation of the second temperature value relative to each of the first temperature values, and the target correction coefficient includes the first correction coefficient, which is the weighting coefficient of the detection channel. For each detection channel, the stress influence degree of the strip at the approximate temperature of the detection channel is determined based on the second correction coefficient of the strip, wherein the target correction coefficient includes the second correction coefficient, which includes the linear expansion coefficient, elastic modulus of the strip, and unit tension of the strip; The determination of the stress influence degree of the strip at the approximate temperature of the detection channel based on the second correction factor of the strip includes: The product of the linear expansion coefficient, the elastic modulus of the strip, and the approximate temperature value is calculated as the reference strip stress of the strip in the detection channel, wherein the reference strip stress is the internal stress of the strip after being affected by the temperature of the cold rolling mill. The ratio of the reference strip stress to the unit tension of the strip is calculated as the stress influence degree.
2. The method according to claim 1, characterized in that, A piezoelectric sensor is deployed in each detection channel of the strip shape measuring roller. The process of correcting the strip shape based on the stress influence of the detection channel to obtain the corrected strip shape for that detection channel includes: The shape of the strip is determined by the piezoelectric sensor deployed in the detection channel. The corrected strip shape is determined based on the detected strip shape and the stress influence degree, wherein the corrected strip shape is the strip shape after the stress influence degree has been eliminated from the detected strip shape.
3. The method according to claim 1, characterized in that, The adjustment of the operating parameters of the cold rolling mill based on the strip shape correction of each of the detection channels includes at least one of the following: For each of the detection channels, the emulsion flow rate of the detection channel is determined based on the shape of the correction strip of the detection channel, wherein the operating parameters include the emulsion flow rate; The target equipment parameters of the target unit equipment included in the cold rolling mill are determined based on the shape of each corrected strip.
4. The method according to claim 1, characterized in that, The strip shape measuring roller is deployed between the first frame and the second frame. A temperature sensor is deployed on each of the detection channels. An infrared strip thermometer is deployed between the strip shape measuring roller and the second frame. The process of acquiring the first temperature value of the strip at the first detection position in each of the detection channels and the second temperature value of the strip at the second detection position at the current moment includes: For each of the detection channels, the first temperature value at the first detection position at the current moment is obtained by the temperature sensor deployed on the detection channel; The second temperature value at the second detection position at the current moment is obtained using the infrared thermometer.
5. A parameter adjustment device for a cold continuous rolling mill, characterized in that, The cold rolling mill includes a shape gauge roll, which is divided into multiple detection channels along the vertical direction of its length. The device includes: The acquisition module is used to acquire the first temperature value of the first detection position of the strip at each of the detection channels at the current moment, and the second temperature value of the second detection position of the strip, wherein the second detection position is the position of the strip after being transmitted by the shaper roller; The determination module is used to determine the stress influence degree of the strip in the detection channel for each detection channel based on the second temperature value, the strip parameters of the strip, and each first temperature value, wherein the stress influence degree is used to characterize the degree of interference of the channel temperature of the detection channel on the strip shape detection. The determining module is further configured to determine the stress influence degree of each detection channel based on the second temperature value, the strip parameters, and each of the first temperature values using a plate shape temperature model. The plate shape temperature model establishes a correlation between the strip parameters and the target correction coefficient of the strip. The plate shape temperature model is used to determine the stress influence degree of each detection channel based on the second temperature value, the target correction coefficient, and each of the first temperature values. For each of the detection channels, an approximate temperature of the strip in the detection channel is obtained by correcting the temperature deviation of the second temperature value and the first temperature value of the detection channel based on the first correction coefficient, wherein the temperature deviation is the deviation of the second temperature value relative to each of the first temperature values, and the target correction coefficient includes the first correction coefficient, which is the weighting coefficient of the detection channel. For each detection channel, the stress influence degree of the strip at the approximate temperature of the detection channel is determined based on the second correction coefficient of the strip, wherein the target correction coefficient includes the second correction coefficient, which includes the linear expansion coefficient, elastic modulus of the strip, and unit tension of the strip; The product of the linear expansion coefficient, the elastic modulus of the strip, and the approximate temperature value is calculated as the reference strip stress of the strip in the detection channel, wherein the reference strip stress is the internal stress of the strip after being affected by the temperature of the cold rolling mill. The ratio of the reference strip stress to the unit tension of the strip is calculated as the stress influence degree; A correction module is used to correct the strip shape of the strip for each detection channel based on the stress influence degree of the detection channel to obtain the corrected strip shape of the detection channel. An adjustment module is used to adjust the operating parameters of the cold rolling mill based on the shape of the corrected strip in each of the detection channels.
6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions that are loaded and executed by a processor to perform the operations performed by the method as described in any one of claims 1 to 4.
7. An electronic device comprising a processor and a memory, characterized in that, The memory stores computer program instructions that can be executed by the processor, and when the processor executes the computer program instructions, it implements the instructions of the method as described in any one of claims 1 to 4.