Method and System for Controlling the Edge of IF Steel Soft Material Disc Shearing

Abstract

This application provides a method and system for controlling the edge trimming of IF steel soft stock using a disc shearing technique, belonging to the field of cold-rolled strip steel control technology. The method includes: determining the initial disc shear gap and initial disc shear overlap based on strip thickness, initial strip tension, and initial strip temperature; controlling the disc shear based on the initial disc shear gap and initial disc shear overlap to trim the edge of the IF steel soft stock after pickling and continuous rolling; determining strip data fluctuation values ​​based on strip tension data, strip temperature data, initial strip tension, and initial strip temperature; if the strip data fluctuation value exceeds a preset strip fluctuation threshold, updating the initial disc shear gap and initial disc shear overlap based on the strip tension data and strip temperature data respectively to obtain target disc shear gap and target disc shear overlap; and controlling the disc shear based on the target disc shear gap and target disc shear overlap. This application can improve the edge trimming quality of IF steel soft stock.

Description

Technical Field

[0001] This application belongs to the field of cold-rolled strip steel control technology, and more specifically, relates to a method and system for controlling the edge shearing of soft IF steel discs. Background Technology

[0002] Interstitial-free (IF) steel is a type of cold-rolled strip steel that achieves stable carbides and nitrides through precise control of carbon and nitrogen interstitial atom content and the use of microalloying elements such as titanium and niobium. IF steel is often used as a core raw material in fields with extremely high requirements for forming precision, such as automotive outer panels and home appliance panels.

[0003] In the pickling and rolling production line, disc shearing is a key process for soft IF steel (rolled unaged product with better plasticity). Its core purpose is to remove defects such as edge cracks, oxide edges, and roll marks generated during the rolling process, and to accurately control the width of the finished strip, which directly determines the final performance of IF steel and its suitability for subsequent processing.

[0004] Existing disc shearing technology is primarily designed for ordinary low-carbon steel or high-strength steel. Its core process parameters rely solely on the strip thickness or use empirical parameter ranges for ordinary steel, failing to adapt to the unique material properties of IF steel. Furthermore, these parameters are often fixed after being set, unable to respond to changes in operating conditions. In actual production, the incompatibility and rigidity of parameters in traditional technologies frequently lead to quality problems such as edge tearing and excessive burrs when shearing IF steel, failing to meet the requirements of high-end products. Summary of the Invention

[0005] The purpose of this application is to provide a method and system for controlling the edge cutting of IF steel soft material by disc shearing, so as to improve the edge cutting quality of IF steel soft material.

[0006] A first aspect of this application provides a method for controlling the shearing edge of an IF steel soft material disc, comprising: The thickness, initial tension, and initial temperature of the IF steel soft material after pickling and continuous rolling at the strip inlet are obtained. The IF steel soft material after pickling and continuous rolling is the strip to be trimmed. The IF steel soft material is conveyed to the disc shear through the strip inlet at a preset conveying speed. The initial disc shear gap is determined based on the strip thickness, initial strip tension, and initial strip temperature; the initial disc shear overlap is determined based on the strip thickness, initial strip tension, and initial strip temperature. The disc shear is controlled based on the initial disc shear gap and the initial disc shear overlap, so that the disc shear cuts the edges of the pickled and continuously rolled IF steel soft material according to the initial disc shear gap and the initial disc shear overlap. Obtain strip tension and temperature data of IF steel soft material after pickling and continuous rolling at the strip entrance, and determine the strip data fluctuation value based on the strip tension data, strip temperature data, initial strip tension and initial strip temperature; If the strip steel data fluctuation value is greater than the preset strip steel fluctuation threshold, the initial disc shear gap and the initial disc shear overlap are updated based on the strip steel tension data and the strip steel temperature data, respectively, to obtain the target disc shear gap and the target disc shear overlap. The disc shear is controlled based on the target disc shear gap and the target disc shear overlap.

[0007] A second aspect of this application provides an IF steel soft material disc shearing edge control system, comprising: The initial strip data acquisition module is used to acquire the strip thickness, initial strip tension and initial strip temperature of the IF steel soft material after pickling and continuous rolling at the strip inlet; the IF steel soft material after pickling and continuous rolling is the strip to be trimmed, and the IF steel soft material is conveyed to the disc shear through the strip inlet at a preset conveying speed. The disc shear parameter calculation module is used to determine the initial disc shear gap based on the strip thickness, initial strip tension, and initial strip temperature, and to determine the initial disc shear overlap based on the strip thickness, initial strip tension, and initial strip temperature. The first edge-cutting control module is used to control the disc shear based on the initial disc shear gap and the initial disc shear overlap, so that the disc shear cuts the edge of the pickled and continuously rolled IF steel soft material according to the initial disc shear gap and the initial disc shear overlap. The strip fluctuation analysis module is used to acquire strip tension data and strip temperature data of IF steel soft material after pickling and continuous rolling at the strip entrance, and to determine the strip data fluctuation value based on the strip tension data, strip temperature data, initial strip tension and initial strip temperature. The disc shear parameter update module is used to update the initial disc shear gap and initial disc shear overlap based on the strip tension data and strip temperature data if the strip data fluctuation value is greater than the preset strip fluctuation threshold, so as to obtain the target disc shear gap and target disc shear overlap respectively. The second cutting edge control module is used to control the disc shear based on the target disc shear gap and the target disc shear overlap.

[0008] A third aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the above-described IF steel soft material disc shearing edge control method.

[0009] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described IF steel soft material disc shearing edge control method.

[0010] The beneficial effects of the IF steel soft material disc shearing edge control method and system provided in this application embodiment are as follows: This application embodiment can solve the shearing edge quality problem caused by parameter mismatch, and effectively cope with changes in working conditions to ensure production stability.

[0011] This application embodiment combines strip thickness, initial strip tension, and initial strip temperature to determine the initial shearing parameters. Tension directly affects the tightness of the strip, and temperature determines the hardness of the soft material. The coordinated setting of these three factors allows the blade gap and overlap to accurately match the actual state of the IF steel soft material, avoiding edge tearing and excessive burrs caused by parameter mismatch, and ensuring that the cutting quality meets the stringent requirements of high-end products.

[0012] Traditional technical parameters are fixed after being set, and cannot adapt to the natural fluctuations in tension and temperature during production. The embodiments of this application monitor tension and temperature data in real time, calculate the fluctuation value, and automatically update the shearing parameters when they exceed the threshold, always maintaining the optimal shearing state, avoiding edge defects caused by changes in working conditions, reducing the risk of strip scrap and equipment jamming and downtime, and significantly improving production continuity and stability.

[0013] The embodiments of this application realize automated and precise control and dynamic optimization of shearing parameters. At the same time, precise parameter matching reduces raw material waste, extends equipment service life, and improves yield while ensuring edge cutting quality. Attached Figure Description

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

[0015] Figure 1 A flowchart illustrating the method for controlling the shearing edge of IF steel soft material discs according to an embodiment of this application; Figure 2 This is a structural block diagram of an IF steel soft material disc shearing edge control system provided in an embodiment of this application; Figure 3 This is a schematic block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0016] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0017] It is understood that in the embodiments of this application, data such as user information are involved. When the embodiments of this application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of related data must comply with relevant laws, regulations and standards.

[0018] It should be noted that the terms "first," "second," etc., used in the specification, claims, and 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 use of data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in sequences other than those illustrated or described herein.

[0019] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a method for controlling the shearing edge of IF steel soft material disc according to an embodiment of this application. The method can be executed by an electronic device, and specifically, the method may include S101 to S106.

[0020] S101: Obtain the strip thickness, initial strip tension, and initial strip temperature of the IF steel soft material after pickling and continuous rolling at the strip inlet; the IF steel soft material after pickling and continuous rolling is the strip to be trimmed, and the IF steel soft material is conveyed to the disc shear through the strip inlet at a preset conveying speed.

[0021] In this embodiment, the application scenario is the edge trimming of IF steel soft material in a pickling and rolling production line to achieve mass production of IF steel soft material. The complete edge trimming process includes: (1) Strip pretreatment: After the oxide scale is removed by pickling, the IF steel soft material is rolled to the target strip thickness by a continuous rolling mill and then conveyed to the disc shear. (2) Inlet parameter acquisition: When the strip arrives at the strip inlet, the strip thickness, initial strip tension and initial strip temperature are collected and conveyed synchronously at the preset transport speed. (3) Shear parameter setting: In this embodiment, the initial disc shear gap and overlap are calculated based on the three collected parameters. (4) Edge trimming execution: The pickled and continuously rolled IF steel soft strip passes through the disc shear at the set speed to complete the edge trimming operation. (5) Working condition monitoring: In this embodiment, the strip tension and temperature data are collected in real time during the edge trimming process to determine whether the fluctuation exceeds the standard. (6) Parameter adjustment: If the fluctuation exceeds the standard, the shear parameters are updated and continuously controlled. (7) Finished product output: After the strip is trimmed, it is transported to the next process after quality inspection. The waste generated by trimming is poured into a set of edge material collection device for centralized treatment to prevent it from scattering. (8) Online monitoring of the strip width and edge quality after trimming to ensure that the burr height is less than 0.3mm.

[0022] In this embodiment, the disc shear can use carbide disc blades with a hardness of not less than HRC58. During operation, this embodiment can precisely adjust the top surface height of the lower disc shear plate to match the elevation of the unit's operating line through an eccentric adjustment mechanism. A deviation correction device and an anti-sag device are installed after the strip inlet and in front of the disc shear inlet. The deviation correction device can monitor and adjust the strip position in real time to prevent deviation. The anti-sag device is used to support the strip edge, preventing edge jamming caused by the weight of thin, soft strip. The strip inlet refers to the feeding area before the disc shear that receives pickled and continuously rolled strip. Pickling and continuous rolling refers to the pretreatment process of removing the oxide scale from the strip before continuous rolling. IF steel is a rolled, unaged product of interstitial atomic steel with excellent plasticity. Strip thickness refers to the cross-sectional thickness of the IF steel. Initial strip tension refers to the initial tensile stress of the strip before entering the disc shear. Initial strip temperature refers to the temperature of the strip before entering the disc shear. The preset transport speed refers to the fixed speed at which the strip steel is transported to the disc shear.

[0023] Considering that the low strength and high ductility of IF steel soft material are sensitive to working conditions, and that thickness, tension and temperature directly affect the shearing quality, this embodiment obtains three core parameters to lay the foundation for the subsequent accurate setting of shearing parameters.

[0024] For example, in this embodiment, the corresponding parameters can be obtained by using a laser thickness gauge pre-installed 1.5m upstream of the strip inlet, a tension sensor installed at the inlet tension roller, and an infrared thermometer deployed next to the sensor.

[0025] After pickling and continuous rolling, the soft IF steel stock is conveyed to the strip inlet. In this embodiment, the strip thickness data can be collected every 0.5 seconds using a laser thickness gauge, and the average of 10 consecutive data collections is taken as the final strip thickness. In this embodiment, the tensile stress of the strip can be collected in real time using a tension sensor, and the average value within 5 seconds after the strip stably enters the inlet section is taken as the initial strip tension. In this embodiment, the surface temperature of the strip can be collected synchronously using an infrared thermometer, and the average value after removing outliers is taken as the initial strip temperature.

[0026] In this embodiment, the conveying speed can be set according to the thickness of the IF steel soft material (1.0-6.0mm), and the speed is locked by the frequency of the conveyor roller motor. The conveying speed is related to the cutting speed, and in this embodiment, the conveying speed can also be derived by using a preset target cutting speed.

[0027] S102: Determine the initial disc shear gap based on the strip thickness, initial strip tension, and initial strip temperature; determine the initial disc shear overlap based on the strip thickness, initial strip tension, and initial strip temperature.

[0028] In this embodiment, the initial disc shear gap is determined based on the strip thickness, initial strip tension, and initial strip temperature; the initial disc shear overlap is determined based on the strip thickness, initial strip tension, and initial strip temperature, including: Determine the optimal disc shear gap, optimal disc shear overlap, gap control model, and overlap control model corresponding to the strip thickness; The initial disc shear gap is calculated based on the initial strip tension, initial strip temperature, and optimal disc shear gap using a gap control model. Based on the initial strip tension, initial strip temperature, and optimal disc shear overlap, the initial disc shear overlap is calculated using an overlap control model. The gap control model is as follows:

[0029] in, This is the initial disc shear gap. This refers to the upper limit of the allowable gap between the disc shears. This is the lower limit of the allowable gap for the disc shear. and All are weighting coefficients. , To achieve the optimal disc shear gap, The first tension dependence coefficient, The initial strip tension, The preset reference strip tension, The first temperature dependence coefficient, The initial strip temperature, The preset reference strip temperature; The overlap control model is as follows:

[0030] in, This represents the initial disk shear overlap. This refers to the upper limit of the allowable gap between the disc shears. A and are the lower limit of the allowable shear gap of the disc. All are weighting coefficients. , To achieve the optimal disc shear gap, The second tension dependence coefficient, This is the second temperature dependence coefficient; The first tension dependence coefficient, the second tension dependence coefficient, the first temperature dependence coefficient, and the second temperature dependence coefficient are all obtained based on multiple historical edge trimming data samples of IF steel soft material with the same strip thickness; each historical edge trimming data sample includes historical strip tension, historical disc shear gap, historical disc shear overlap, and historical strip edge trimming quality score; the historical strip edge trimming quality score is obtained based on the analysis of the strip edge data after trimming.

[0031] In this embodiment, the optimal disc shear gap is the ideal gap value for achieving the required edge trimming quality under the corresponding strip thickness, and this value is derived from historical edge trimming data. The optimal disc shear overlap is the best blade overlap degree adapted to the strip thickness, and this value is derived from historical edge trimming data. The gap control model is a calculation model that quantifies the influence of initial strip tension and initial strip temperature on the optimal disc shear gap. The overlap control model is a calculation model that quantifies the influence of initial strip tension and initial strip temperature on the optimal disc shear overlap. The weighting coefficient is a coefficient that balances the degree of influence of tension and temperature. The first tension dependence coefficient is a parameter reflecting the degree of influence of tension on the gap. The reference strip tension is a preset standard tension reference value. The first temperature dependence coefficient is a parameter reflecting the degree of influence of temperature on the gap. The reference strip temperature is a preset standard temperature reference value. The second tension dependence coefficient is a parameter reflecting the degree of influence of tension on the overlap. The second temperature dependence coefficient is a parameter reflecting the degree of influence of temperature on the overlap. The historical edge trimming data sample is a record of relevant data from past edge trimming of soft IF steel. The historical strip edge quality score is a quality evaluation result based on the past condition of the strip edge.

[0032] Considering the sensitivity of IF steel's low strength and high ductility to shearing parameters, relying solely on strip thickness is insufficient for precise parameter setting. Furthermore, considering that initial strip tension affects strip tightness, and initial strip temperature alters material hardness, both of which impact edge trimming quality, two parameters are introduced for collaborative optimization. This embodiment balances the influence of these two parameters through weighting coefficients, ensuring adaptability based on historical data for each dependency coefficient. Boundary constraints prevent parameters from exceeding equipment limits. Finally, accurate and feasible initial shearing parameters are obtained through model calculation, ensuring both edge trimming quality and equipment safety.

[0033] In this embodiment, the gap control model uses the optimal gap based on strip thickness matching, tension-temperature dynamic correction, and boundary safety constraints as its core logic to accurately calculate the initial disc shear gap adapted to IF steel soft material. The process is as follows: (1) Based on the strip thickness of the soft IF steel to be cut, the corresponding optimal disc shear gap (i.e., the ideal gap benchmark for the cutting quality to meet the standard under this thickness), gap control model associated parameters, first tension dependence coefficient, first temperature dependence coefficient, and preset benchmark strip tension and benchmark strip temperature (the conventional working condition benchmark value for cutting soft IF steel in the industry) are called from the preset parameter library.

[0034] (2) Obtain the tension relative deviation by (initial strip tension - reference strip tension) / reference strip tension, and then multiply it by the first tension dependence coefficient and weight α to obtain the gap correction ratio in the tension dimension; obtain the temperature relative deviation by (initial strip temperature - reference strip temperature) / reference strip temperature, and then multiply it by the first temperature dependence coefficient and weight β to obtain the gap correction ratio in the temperature dimension; add 1 to the two correction ratios to obtain the total correction coefficient, and then multiply it by the optimal disc shear gap to obtain the preliminary gap calculation value.

[0035] (3) Call the inherent upper and lower limits of the clearance of the disc shear equipment. By first taking the larger value between the preliminary calculated value and the lower limit of the clearance, and then taking the smaller value between the result and the upper limit of the clearance, the initial disc shear clearance is finally determined to ensure that the parameters are both adapted to the low strength and high ductility characteristics of IF steel soft material and do not exceed the operating limits of the equipment.

[0036] The overlap control model and the gap control model share the same logical origin. They are based on the optimal overlap amount for thickness matching, tension-temperature collaborative correction, and boundary constraint protection. The initial disc shear overlap amount for adapting to soft IF steel is calculated, and the specific process is as follows: (1) Based on the strip thickness of the soft IF steel to be cut, the corresponding optimal disc shear overlap, overlap control model associated parameters, second tension dependence coefficient, second temperature dependence coefficient, and reference strip tension and reference strip temperature shared with the gap control model are called from the parameter library.

[0037] (2) Obtain the tension relative deviation by (initial strip tension - reference strip tension) / reference strip tension, multiply by the second tension dependence coefficient and weight A to obtain the overlap correction ratio of the tension dimension; obtain the temperature relative deviation by (initial strip temperature - reference strip temperature) / reference strip temperature, multiply by the second temperature dependence coefficient and weight B to obtain the overlap correction ratio of the temperature dimension; add 1 to the two correction ratios to obtain the total correction coefficient, multiply by the optimal disc shear overlap to obtain the preliminary overlap calculation value.

[0038] (3) Call the upper and lower limits of the allowable overlap of the disc shear. First, take the larger value between the preliminary calculated value and the lower limit of the allowable overlap, and then take the smaller value between the result and the upper limit of the allowable overlap to finally determine the initial disc shear overlap. This ensures that the parameters can adapt to the soft properties of IF steel and meet the safety requirements of the equipment's mechanical operation.

[0039] For example, this embodiment can pre-establish a parameter database, storing the corresponding optimal disc shear gap, optimal disc shear overlap, gap control model, overlap control model, and various coefficients according to the strip thickness range. Assume that this embodiment uses a laser thickness gauge, tension sensor, and infrared thermometer to collect data on a strip thickness of 3.0 mm, an initial strip tension of 12 kN, and an initial strip temperature of 65°C.

[0040] In this embodiment, the collected data can be substituted into the gap control model to first calculate the correction amount of tension deviation and temperature deviation on the optimal disk shear gap, and then the correction is obtained by superimposing weighting coefficients to obtain the preliminary calculated value. In this embodiment, the preliminary calculated value can be compared with the upper and lower limits of the allowable gap. If it is within the range, it is used as the initial disk shear gap; if it exceeds the range, the corresponding boundary value is taken to finally determine the initial disk shear gap. The calculation of the overlap amount is similar. In this embodiment, the data can be substituted into the overlap amount control model, and after correction and boundary constraints, the initial disk shear overlap amount is determined.

[0041] In this embodiment, the initial disc shear gap and the initial disc shear overlap can be sent to the disc shear actuator to complete the parameter setting.

[0042] This embodiment employs a multi-parameter coupled control model, ensuring that the initial shearing parameters are precisely adapted to the characteristics of soft IF steel and actual working conditions, avoiding the limitations of single-parameter settings. Boundary constraints ensure that parameters remain within the equipment's safe range, preventing damage from overtravel. Each dependency coefficient is fitted based on historical data, improving parameter adaptability. Ultimately, this effectively reduces defects such as edge tearing and excessive burrs, improves the stability of edge cutting quality, reduces blade wear, extends equipment lifespan, and reduces production losses and maintenance costs.

[0043] S103: The disc shear is controlled based on the initial disc shear gap and the initial disc shear overlap, so that the disc shear trims the soft IF steel material after pickling and continuous rolling according to the initial disc shear gap and the initial disc shear overlap.

[0044] For example, in this embodiment, the initial disc shear gap and initial disc shear overlap data can be uploaded to the disc shear PLC control system. The control system automatically verifies whether the data is within the allowable range of the equipment, and generates an execution command after confirming that there are no errors.

[0045] The control system drives the disc shear's gap adjustment motor and overlap adjustment motor. These motors rotate the eccentric shaft, gradually adjusting the gap between the upper and lower blades and the overlap between the left and right blades to the target parameters. During adjustment, a laser displacement sensor provides real-time feedback on the blade position until it matches the set value. The control system then starts the disc shear's main drive motor, causing the blade speed to reach the preset value. Simultaneously, the strip conveyor rollers are activated, feeding the pickled and continuously rolled IF steel into the disc shear. As the strip enters the disc shear's shearing area, the blades trim the strip according to the set initial disc shear gap and initial disc shear overlap. The strip conveying speed and blade operating status are monitored in real-time to ensure stable shearing.

[0046] S104: Obtain strip tension and strip temperature data of IF steel soft material after pickling and continuous rolling at the strip entrance, and determine the strip data fluctuation value based on the strip tension data, strip temperature data, initial strip tension, and initial strip temperature.

[0047] In this embodiment, the strip tension data includes multiple tension values ​​obtained based on the target data acquisition frequency, and the strip temperature data includes multiple temperature values ​​obtained based on the target data acquisition frequency. Based on strip tension data, strip temperature data, initial strip tension, and initial strip temperature, the strip data fluctuation value is determined, including: Calculate the mean tension and standard deviation of tension based on strip tension data, and calculate the absolute value of the tension difference between the mean tension and the initial strip tension; The tension fluctuation value is determined based on the absolute value of the tension difference and the standard deviation of the tension. Calculate the mean temperature and standard deviation of temperature based on strip temperature data, and calculate the absolute value of the temperature difference between the mean temperature and the initial strip temperature; Temperature fluctuation values ​​are determined based on the absolute value of the temperature difference and the standard deviation of the temperature. The strip data fluctuation value is determined based on the tension fluctuation value and the temperature fluctuation value.

[0048] In this embodiment, the target data acquisition frequency is a pre-set fixed time interval for collecting strip tension and temperature data. Multiple tension values ​​are multiple sets of strip tension records collected at the target data acquisition frequency. The tension mean is the arithmetic mean of the multiple tension values, and the tension standard deviation is a statistical indicator reflecting the dispersion of the multiple tension values. The absolute value of the tension difference is the absolute value obtained by subtracting the tension mean from the initial strip tension. The tension fluctuation value is a parameter characterizing the overall fluctuation of strip tension, combining the absolute value of the tension difference and the tension standard deviation. Multiple temperature values ​​are multiple sets of strip temperature records collected at the target data acquisition frequency. The temperature mean is the arithmetic mean of the multiple temperature values, and the temperature standard deviation is a statistical indicator reflecting the dispersion of the multiple temperature values. The absolute value of the temperature difference is the absolute value obtained by subtracting the temperature mean from the initial strip temperature. The temperature fluctuation value is a parameter characterizing the overall fluctuation of strip temperature, combining the absolute value of the temperature difference and the temperature standard deviation. The strip data fluctuation value is a parameter reflecting the combined fluctuation of strip tension and temperature.

[0049] Considering that IF steel is a soft material with low strength and high ductility, it is extremely sensitive to tension and temperature fluctuations. A single data point is easily affected by instantaneous interference (such as sensor noise and local vibration of the strip), and cannot accurately reflect the fluctuations in operating conditions. This embodiment collects multiple data points at the target frequency, reduces instantaneous errors by using the mean, and quantifies data dispersion by using the standard deviation. The combination of these two methods can comprehensively reflect the fluctuations. The mean difference reflects the overall deviation trend, and the standard deviation reflects the data stability. This embodiment calculates the tension and temperature fluctuation values ​​separately, and then combines them into the strip data fluctuation value. This avoids misjudging the overall operating conditions due to fluctuations of a single parameter, ensures the accuracy of fluctuation judgment, provides a reliable basis for subsequent shear parameter adjustments, and prevents ineffective or delayed adjustments due to misjudgments.

[0050] For example, this embodiment can combine the strip conveying speed of the pickling and rolling production line with the response characteristics of IF steel soft material under operating conditions, preset a fixed target data acquisition frequency, balance data real-time performance and redundancy, and ensure that operating condition fluctuations can be captured in a timely manner without increasing the computational load. In this embodiment, strip tension data and strip temperature data can be synchronously and continuously collected at the set target data acquisition frequency through the tension sensor and infrared thermometer at the strip inlet, obtaining multiple sets of tension values ​​and multiple sets of temperature values.

[0051] This embodiment can calculate the arithmetic mean of multiple collected tension values ​​to obtain the tension mean; then, it can calculate the tension standard deviation of multiple tension values ​​using statistical methods to quantify the degree of data dispersion; this embodiment can calculate the difference between the tension mean and the initial strip tension and take the absolute value to obtain the absolute value of the tension difference. This embodiment can also perform a weighted summation of the absolute value of the tension difference and the tension standard deviation according to preset weights to calculate the tension fluctuation value, which characterizes the overall fluctuation of the strip tension.

[0052] This embodiment can employ the same logic as the tension parameter calculation, calculating the mean temperature and standard deviation of multiple collected temperature values, then calculating the difference between the mean temperature and the initial strip temperature and taking the absolute value to obtain the absolute value of the temperature difference. This embodiment can also perform a weighted summation of the merged absolute value of the temperature difference and the standard deviation of the temperature according to preset weights to calculate the temperature fluctuation value, which characterizes the overall degree of temperature fluctuation in the strip.

[0053] In this embodiment, based on the weight difference of the influence of tension and temperature on the edge trimming of IF steel soft material, a corresponding weight coefficient is set, and the tension fluctuation value and temperature fluctuation value are superimposed according to the weight to finally obtain the strip data fluctuation value that reflects the comprehensive fluctuation of tension and temperature of the strip.

[0054] S105: If the strip steel data fluctuation value is greater than the preset strip steel fluctuation threshold, the initial disc shear gap and the initial disc shear overlap are updated based on the strip steel tension data and the strip steel temperature data, respectively, to obtain the target disc shear gap and the target disc shear overlap.

[0055] In this embodiment, the initial disc shear gap and initial disc shear overlap are updated based on strip tension data and strip temperature data, respectively, to obtain the target disc shear gap and target disc shear overlap, including: The target strip tension is predicted based on strip tension data, and the target strip temperature is predicted based on strip temperature data. The initial disc shear gap is updated based on the target strip tension, initial strip tension, initial strip temperature, and target strip temperature to obtain the target disc shear gap; The initial disc shear overlap is updated based on the target strip tension, initial strip tension, initial strip temperature, and target strip temperature to obtain the target disc shear overlap.

[0056] In this embodiment, the preset strip fluctuation threshold is a critical value pre-set based on the edge trimming quality requirements of IF steel soft material and the adaptability of equipment operation. It is used to determine whether the combined fluctuation of strip tension and temperature reaches a level requiring adjustment of shearing parameters. The target strip tension is the tension value that the strip may maintain during subsequent shearing, obtained by analyzing the tension change pattern through a predictive model based on the collected strip tension data. The target strip temperature is the temperature value that the strip may maintain during subsequent shearing, obtained by analyzing the temperature change pattern through a predictive model based on the collected strip temperature data. Updating the initial disc shear gap refers to adjusting the initial gap to adapt to the fluctuating working conditions by combining the target and initial parameters; similarly, updating the initial disc shear overlap amount adjusts the initial overlap amount to adapt to the new working conditions.

[0057] IF steel, being a soft material with low strength and high ductility, directly determines the edge cutting quality based on the compatibility of shearing parameters with the operating conditions. If strip data fluctuates beyond the threshold without adjusting parameters, problems such as excessive burrs and edge tearing can easily occur. Adjusting only based on current tension and temperature data will result in parameter lag due to the time difference in strip feeding to the disc shear, failing to adapt to actual shearing conditions. Predicting the target strip tension and temperature allows for advance forecasting of subsequent operating conditions, making parameter updates more forward-looking. Updating the initial disc shear gap and overlap separately is necessary because these two parameters have different sensitivities to tension and temperature (e.g., gap has a more significant impact on tension, while overlap has a more obvious response to temperature). Targeted adjustments can accurately match the characteristics of IF steel, avoiding parameter mismatch caused by a single adjustment.

[0058] In this embodiment, the initial disc shear gap is updated based on the target strip tension, initial strip tension, initial strip temperature, and target strip temperature to obtain the target disc shear gap, specifically including: Calculate the tension difference between the target strip tension and the initial strip tension, and calculate the temperature difference between the target strip temperature and the initial strip temperature; The gap update direction is determined based on the tension difference and temperature difference; The initial disc shear gap is updated based on the gap update direction and the preset gap adjustment step size to obtain the target disc shear gap.

[0059] In this embodiment, the initial disc shear overlap is updated based on the target strip tension, initial strip tension, initial strip temperature, and target strip temperature to obtain the target disc shear overlap, specifically including: The direction of overlap update is determined based on the tension difference and temperature difference; The initial disk shear overlap is updated based on the overlap update direction and the preset overlap adjustment step size to obtain the target disk shear overlap.

[0060] For example, in this embodiment, strip fluctuation thresholds can be preset according to strip thickness ranges (such as 1.0-2.0mm, 2.0-4.0mm, and 4.0-6.0mm). The threshold settings are based on historical edge trimming data to ensure that they are neither too low, causing frequent adjustments (increasing equipment wear), nor too high, leading to edge trimming defects (such as excessive burrs).

[0061] This embodiment can retrieve the calculated strip data fluctuation value in real time and compare it with the preset strip data fluctuation threshold for the corresponding thickness range. If the strip data fluctuation value is greater than the preset threshold, the initial disc shear gap and overlap amount update process is automatically triggered; if it is less than or equal to the threshold, the initial parameters are maintained and shearing continues.

[0062] This embodiment can call a preset time series prediction model (this model is trained based on historical tension data of soft IF steel of the same thickness) and input continuously collected strip tension data into the model. The model analyzes the trend of tension data changes (such as whether it is rising steadily, falling, or fluctuating), and combines the strip conveying speed and the production line process rhythm to output the target strip tension that the strip may maintain during the subsequent shearing process.

[0063] This embodiment can employ the same logic as the target strip tension prediction, calling the corresponding temperature prediction model and inputting continuously collected strip temperature data into the model. The model analyzes the variation pattern of the temperature data (such as whether it changes gradient due to the influence of the cooling section), and, combined with the stability of the production line ambient temperature, outputs the target strip temperature that the strip may maintain during subsequent shearing.

[0064] This embodiment allows for preset gap adjustment step size and overlap adjustment step size. The step size setting needs to be adapted to the thickness characteristics of IF steel soft material (e.g., when the strip thickness is 1.0~2.0mm, the gap adjustment step size is 0.005mm and the overlap adjustment step size is 0.01mm; when the thickness is 2.0~4.0mm, the gap adjustment step size is 0.01mm and the overlap adjustment step size is 0.015mm) to ensure that the adjustment range can adapt to the fluctuation of working conditions and avoid sudden changes in parameters.

[0065] This embodiment can obtain the tension difference by calculating "target strip tension - initial strip tension", which is used to characterize the amplitude and direction of tension fluctuation; and obtain the temperature difference by calculating "target strip temperature - initial strip temperature", which is used to characterize the amplitude and direction of temperature fluctuation; the positive and negative signs of the difference are recorded simultaneously during the calculation process to provide a basis for subsequent direction judgment.

[0066] This embodiment combines the mechanical properties and shearing mechanism of IF steel (low strength, high ductility) to determine the gap update direction according to preset rules: If the tension difference is positive (target tension > initial tension), the strip tension increases, making it prone to sticking due to shearing and compression, so the gap update direction needs to be set to increase; if the tension difference is negative (target tension < initial tension), the strip relaxes, making it prone to tearing due to insufficient shearing force, so the gap update direction needs to be set to decrease; if the temperature difference is positive (target temperature > initial temperature), the material plasticity increases, making it prone to edge deformation, so the gap update direction needs to be set to increase; if the temperature difference is negative (target temperature < initial temperature), the material rigidity increases, so the gap update direction needs to be set to decrease. When the tension and temperature difference point in the same direction, that direction is directly determined as the final gap update direction; if they point in opposite directions, the direction corresponding to the tension difference is given priority (because tension has a more significant impact on the edge clearance of soft IF steel).

[0067] This embodiment can perform updates in conjunction with a preset gap adjustment step size. If the update direction is to increase, the target disk shear gap = initial disk shear gap + gap adjustment step size; if the update direction is to decrease, the target disk shear gap = initial disk shear gap - gap adjustment step size. Only one step size is executed per adjustment to avoid over-adjustment due to the superposition of multiple steps. If a larger adjustment is required, the difference and direction must be recalculated in the next cycle before execution.

[0068] This embodiment can determine the overlap update direction according to preset rules based on the matching logic between the waste edge separation requirement of IF steel soft material and the overlap amount: If the tension difference is positive (target tension > initial tension), the lateral stability of the strip is improved, and the overlap amount can be appropriately reduced to avoid edge crushing, so the update direction is set to decrease; if the tension difference is negative (target tension < initial tension), the strip is prone to deviation, and the overlap amount needs to be increased to ensure waste edge separation, so the update direction is set to increase; if the temperature difference is positive (target temperature > initial temperature), the material is prone to adhesion, and the overlap amount needs to be reduced to reduce extrusion, so the update direction is set to decrease; if the temperature difference is negative (target temperature < initial temperature), the difficulty of material separation increases, and the overlap amount needs to be increased to strengthen shearing, so the update direction is set to increase. When the direction of tension and temperature difference are in the same direction, the direction is determined directly; if they are opposite, the direction corresponding to the temperature difference is taken as the standard (because temperature has a more critical effect on the separation of soft scrap edges of IF steel).

[0069] This embodiment can update according to the determined overlap amount update direction, combined with a preset overlap amount adjustment step size: if the update direction is increasing, then the target disk shear overlap amount = initial disk shear overlap amount + overlap amount adjustment step size; if the update direction is decreasing, then the target disk shear overlap amount = initial disk shear overlap amount - overlap amount adjustment step size. Similar to the gap update logic, only one step size is executed at a time, ensuring smooth overlap amount adjustment.

[0070] This embodiment can perform dual verification of the calculated target disc shear gap and target disc shear overlap. The first verification compares the target parameters to the equipment's mechanical limits (allowable upper and lower limits for gap and overlap). If the target parameters exceed these limits, the corresponding limit value is automatically taken as the final target parameter. The second verification compares the target parameters to the minimum reasonable parameters for IF soft steel to ensure the parameters are compatible with the material properties. After successful verification, this embodiment can send the target disc shear gap and target disc shear overlap to the disc shear position adjustment actuator. The drive motor then adjusts the cutter position according to the target parameters, providing real-time feedback of the cutter position signal during the adjustment process until it matches the target parameters.

[0071] S106: Control the disc shear based on the target disc shear gap and the target disc shear overlap.

[0072] In this embodiment, before controlling the disc shear based on the initial disc shear gap and the initial disc shear overlap, the following steps are also included: Obtain the strip position of the IF steel soft material after pickling and continuous rolling at the strip entrance; If the strip position is not equal to the preset target position, the strip correction device is controlled based on the difference between the strip position and the preset target position so that the strip correction device adjusts the strip in transportation to the preset target position.

[0073] In this embodiment, the method for controlling the shearing edge of IF steel soft material discs further includes: Obtain the strip edge image after trimming, and extract burr features and edge flatness features from the strip edge image; The first quality score is determined based on burr features, and the second quality score is determined based on edge smoothness features. Obtain the image of the blade edge of the disc shear after trimming, extract the area of ​​steel adhering to the blade edge from the image, and determine the third quality score based on the area of ​​steel adhering to the blade edge. The strip edge trimming quality score is determined based on the first quality score, the second quality score, and the third quality score.

[0074] In this embodiment, the strip position refers to the lateral offset of the strip at the strip inlet, used to characterize whether the strip is directly facing the shearing area of ​​the disc shear. The preset target position is a pre-set ideal position that aligns the centerline of the strip with the shearing centerline of the disc shear, ensuring accurate shearing position. The strip alignment device is a device installed at the strip inlet to adjust the lateral position of the strip, typically including side guide rollers or a pushing mechanism. Burr features are discrete protrusions on the strip edge, and edge flatness features are the smoothness of the strip edge contour. The cutting edge image is an image of the cutting edge area of ​​the disc shear blade, and the cutting edge adhesion area is the area of ​​soft IF steel debris adhering to the cutting edge surface.

[0075] Considering that IF steel, especially thin-gauge products, has low edge stiffness and is prone to lateral deviation during conveying due to tension fluctuations and roller system deviations, direct shearing without correction can lead to offset cutting edge, uneven waste edge width, and even edge jamming. This embodiment first detects and adjusts the strip position to ensure the strip is aligned with the shearing area, laying the foundation for precise cutting. Cutting quality must consider both the finished strip condition and the cutting tool condition. Burrs and flatness directly determine the strip's performance, while steel adhering to the cutting edge accelerates blade wear and scratches subsequent strip. A comprehensive evaluation of all three factors reflects the cutting quality and equipment condition.

[0076] For example, multiple sets of laser alignment sensors are deployed along the width direction of the strip at the strip entry section. The sensors are parallel to the strip conveying path and cover the edge areas on both sides of the strip, collecting the lateral coordinate data of the strip edges in real time. The centerline position of the strip, i.e., the strip position, is calculated through the coordinates. A strip correction device is installed immediately downstream of the sensors. This device is equipped with symmetrical side guide roller assemblies and servo drive mechanisms, and establishes a real-time signal interaction link with the laser alignment sensors.

[0077] This embodiment can obtain a preset target position (i.e., a reference position where the center line of the strip needs to be aligned with the shearing center line of the disc shear), and compare the real-time collected strip position with the preset target position. If the deviation between the two exceeds the allowable range, this embodiment can send an adjustment command to the strip correction device. According to the direction of the deviation, the servo mechanism on the corresponding side is driven to push the side guide roller to move slightly. Through the gentle clamping and guidance of the strip edge by the side guide roller, the lateral position of the strip is gradually adjusted. During the adjustment process, the strip position data fed back by the sensor is continuously received until the deviation between the strip position and the preset target position falls within the allowable range, and the correction action stops.

[0078] After the strip position is adjusted to be within acceptable limits, this embodiment can retrieve the target disc shear gap and target disc shear overlap data, convert them into control signals recognizable by the actuator, and send them to the disc shear gap adjustment unit and overlap adjustment unit respectively. The gap adjustment unit can adopt a servo motor driven eccentric shaft structure. The motor rotation drives the eccentric shaft to shift, thereby adjusting the distance between the upper and lower disc blades until the target disc shear gap is achieved. Similarly, the overlap adjustment unit drives the blade holder to move laterally via a servo motor, changing the relative overlap of the left and right disc blades to match the target disc shear overlap. Throughout the adjustment process, the laser displacement sensor installed on the disc shear holder collects blade position data in real time. This embodiment can compare the collected data with the target parameters to ensure accurate blade position adjustment. After that, the main drive motor of the disc shear is started to begin the edge cutting operation on the strip.

[0079] An industrial line scan camera is installed along the strip conveying path downstream of the disc shear outlet. The camera lens is vertically aimed at the edge area of ​​the strip, and the lens's field of view covers the edge of the strip after trimming and a certain surrounding area. To eliminate the impact of surface reflection on the metal strip on image quality, a strip diffused light source is placed next to the camera. The direction of the light source is at a preset angle to the camera lens to ensure uniform illumination of the strip edge area.

[0080] The camera continuously acquires images of the strip edge at a set frequency. In this embodiment, the original image can be converted to grayscale to simplify data processing. In this embodiment, Gaussian filtering algorithm can be used to filter industrial environmental noise (such as pixel interference caused by dust and vibration) in the image. In this embodiment, the Canny edge detection algorithm can be used to extract the strip edge contour, locate the burr area and extract the burr features. At the same time, the ideal flat straight line of the strip edge is fitted by the least squares method, and the deviation between the actual edge and the ideal straight line is calculated to obtain the edge flatness features.

[0081] During the gap between the end of each strip cutting roll and the start of the next roll, an industrial camera mounted at the observation window of the disc cutter captures images of the working area of ​​the cutting edge, ensuring clear capture of the cutting edge surface condition. In this embodiment, the cutting edge image can first undergo binarization segmentation, using an adaptive threshold algorithm to distinguish between the metal body of the cutting edge and the area of ​​adhered steel (where the grayscale values ​​of the adhered steel area differ significantly from the cutting edge body). This embodiment can then use a region contour extraction algorithm to delineate the boundaries of the adhered steel area, count the number of pixels corresponding to the adhered steel area, and combine this with image calibration parameters to calculate the actual area of ​​adhered steel on the cutting edge, thus completing feature extraction.

[0082] This embodiment can call a preset quality scoring standard to calculate a first quality score based on the extracted burr features (the more prominent the burrs, the lower the score), a second quality score based on the edge flatness features (the greater the flatness deviation, the lower the score), and a third quality score based on the area of ​​steel adhering to the cutting edge (the larger the area of ​​steel adhering, the lower the score). This embodiment can superimpose the first, second, and third quality scores according to preset weights to obtain the strip cutting edge quality score.

[0083] As can be seen from the above, the embodiments of this application can solve the problem of edge cutting quality caused by parameter mismatch, and effectively cope with changes in working conditions to ensure production stability.

[0084] This embodiment combines strip thickness, initial strip tension, and initial strip temperature to determine the initial shearing parameters. Tension directly affects the tightness of the strip, and temperature determines the hardness of the soft material. The coordinated setting of these three factors allows the blade gap and overlap to accurately match the actual state of the IF steel soft material, avoiding edge tearing and excessive burrs caused by parameter mismatch, and ensuring that the cutting quality meets the stringent requirements of high-end products.

[0085] Traditional technical parameters are fixed after being set, and cannot adapt to the natural fluctuations in tension and temperature during production. The embodiments of this application monitor tension and temperature data in real time, calculate the fluctuation value, and automatically update the shearing parameters when they exceed the threshold, always maintaining the optimal shearing state, avoiding edge defects caused by changes in working conditions, reducing the risk of strip scrap and equipment jamming and downtime, and significantly improving production continuity and stability.

[0086] This embodiment achieves automated and precise control and dynamic optimization of shearing parameters. At the same time, precise parameter matching reduces raw material waste, extends equipment life, and improves yield while ensuring edge cutting quality.

[0087] In one embodiment of this application, the first tension dependence coefficient is obtained based on multiple historical edge cutting data samples of IF steel soft material with the same strip thickness, and is obtained in the following way: The target historical cutting edge sample set is selected from multiple historical cutting edge data samples of IF steel soft material with the same strip thickness. The historical strip cutting edge quality scores of the samples in the target historical cutting edge sample set are all higher than the quality score threshold. Based on the historical disk shear overlap, all samples in the target historical cutting edge sample set are classified to obtain multiple sample subsets; the historical disk shear overlap of the samples in each sample subset belongs to a disk shear overlap interval, and the disk shear overlap intervals corresponding to each sample subset do not overlap. Determine the mean quality score of the samples in each sample subset, and calculate the dependence coefficient between tension and disc shear gap in each sample subset; The weight coefficient matrix is ​​determined based on the mean quality score of the samples in each sample subset; the weight coefficient matrix includes the weight coefficients corresponding to each sample subset, and the weight coefficients are positively correlated with the mean quality score of the samples; The first tension dependence coefficient is obtained by weighting and summing the dependence coefficients of tension and disc shear gap in each sample subset based on the weight coefficient matrix.

[0088] In this embodiment, the second tension dependence coefficient, the first temperature dependence coefficient, and the second temperature dependence coefficient are obtained in the same way as the first tension dependence coefficient.

[0089] In this embodiment, the mean quality score is the arithmetic mean of the historical strip edge quality scores of all samples in a single sample subset, reflecting the overall edge quality level of the subset. The tension-disc shear gap dependence coefficient is a parameter characterizing the degree of correlation between historical strip tension changes and historical disc shear gap changes in a single sample subset. The weighting coefficient is used to calculate the first tension dependence coefficient, and its magnitude is determined by the mean quality score of the corresponding sample subset.

[0090] The first tension dependence coefficient needs to accurately reflect the impact of tension on the disc shear gap. Therefore, a target historical trimming sample set that meets quality standards is selected first to eliminate interference from inferior samples and ensure that the calculation basis meets the requirements of high-quality trimming. Under the same strip thickness, different disc shear overlap amounts may lead to differences in the correlation between tension and gap. The overlap amount affects the lateral force during strip shearing, thus changing the sensitivity of tension to gap. By classifying samples into intervals based on overlap amount, the dependence coefficients of each interval can be calculated specifically to avoid cross-interference from different overlap amount conditions. The sample subset with the higher the average quality score, the closer its tension-gap correlation is to the requirements of high-quality trimming. Setting a positive correlation weight based on the average value allows the pattern of high-quality samples to account for a higher proportion in the final coefficient, further improving the reliability and adaptability of the first tension dependence coefficient and ensuring the accuracy of subsequent gap calculations.

[0091] For example, this embodiment can determine the thickness of the IF steel strip corresponding to the first tension dependence coefficient to be calculated, and retrieve all historical edge cutting data samples at that thickness from the production line historical database. This embodiment can call a preset quality scoring threshold, and use data traversal and filtering technology to retain samples with historical strip edge cutting quality scores higher than the threshold, and remove samples with substandard scores to form a target historical edge cutting sample set, ensuring that the samples all come from high-quality edge cutting conditions and eliminating interference from inferior data.

[0092] This embodiment employs statistical analysis techniques to analyze the historical disk shear overlap distribution range of all samples in the target historical edge cutting sample set, dividing this range into multiple non-overlapping disk shear overlap intervals at uniform intervals. This embodiment can also use a sample classification algorithm to extract the historical disk shear overlap of each sample, determine its corresponding interval, and assign it to the corresponding sample subset, ensuring that each sample belongs to only one subset and that there are no overlapping samples between subsets, thus avoiding interference from different overlap conditions in subsequent calculations.

[0093] For each sample subset, the arithmetic mean algorithm is used to calculate the historical strip steel edge trimming quality score for all samples, obtaining the mean quality score for each subset, which reflects the overall edge trimming quality level of the subset. For each subset, historical strip steel tension and historical disc shear gap data are extracted. Linear fitting technology is used, with historical strip steel tension as the independent variable and historical disc shear gap as the dependent variable, to perform fitting analysis. The slope of the fitted line is calculated to obtain the dependence coefficient between tension and disc shear gap for that subset, characterizing the degree of correlation between the two.

[0094] This embodiment allows for the setting of weight calculation rules. Based on the average quality score of each sample subset, the weight coefficient of each subset is calculated according to the ratio of "mean quality score of subset / sum of the average quality scores of all subsets" (the weight is positively correlated with the average quality score). This embodiment can arrange the weight coefficients of each subset in order of the disk shear overlap range to construct a weight coefficient matrix, ensuring a one-to-one correspondence between the weights and subsets, providing a basis for subsequent weighted calculations.

[0095] This embodiment can call the dependency coefficient and weight coefficient matrices of each sample subset, and use a weighted summation algorithm to perform calculations to obtain the first tension dependency coefficient. This embodiment can select historical samples of soft IF steel of the same thickness that were not included in the calculation, substitute this coefficient into the gap control model for verification. If the sample edge quality scores all meet the standards, the coefficient is valid; if not, the disk shear overlap interval division or weight calculation rules are readjusted, and the above steps are repeated until the coefficient verification is successful.

[0096] This embodiment selects high-quality samples to form a target historical cutting edge sample set, eliminating the interference of inferior samples on coefficient calculation and ensuring that the calculation basis meets the requirements of high-quality cutting edges. This reduces the risk of coefficient deviation from the source and avoids subsequent cutting edge defects caused by inaccurate coefficients. This embodiment calculates the dependency coefficients according to the overlap range of the disc shear, eliminating the interference of different overlap conditions on the tension-gap correlation law. This makes the dependency coefficients of each interval more closely match the actual shear stress state, improving the coefficients' relevance to specific working conditions and avoiding insufficient adaptability. The weighting coefficient is positively correlated with the mean quality score, allowing the dependency coefficients of the high-quality sample subset to account for a higher proportion in the final result, strengthening the dominant role of the high-quality cutting edge law, and further improving the reliability and accuracy of the first tension dependency coefficient. The disc shear gap calculated in this embodiment can more accurately adapt to the tension changes of IF steel soft material under different overlap conditions, effectively reducing defects such as edge tearing and excessive burrs, and improving the cutting edge quality compliance rate. At the same time, the coefficient calculation process is based on historical samples and is traceable. Subsequent optimization can be achieved by adding new high-quality samples, enhancing process adaptability and sustainability, and reducing equipment maintenance costs and raw material losses.

[0097] Corresponding to the IF steel soft material disk shearing edge control method in the above embodiment, Figure 2 This is a structural block diagram of an IF steel soft material disc shearing edge control system provided according to an embodiment of this application. For ease of explanation, only the parts relevant to the embodiment of this application are shown. References Figure 2 The IF steel soft material disc shearing edge control system 20 includes: an initial strip data acquisition module 21, a disc shearing parameter calculation module 22, a first edge cutting control module 23, a strip fluctuation analysis module 24, a disc shearing parameter update module 25, and a second edge cutting control module 26.

[0098] The initial strip data acquisition module 21 is used to acquire the strip thickness, initial strip tension and initial strip temperature of the IF steel soft material after pickling and continuous rolling at the strip inlet; the IF steel soft material after pickling and continuous rolling is the strip to be trimmed, and the IF steel soft material is conveyed to the disc shear through the strip inlet at a preset conveying speed. The disc shear parameter calculation module 22 is used to determine the initial disc shear gap based on the strip thickness, initial strip tension and initial strip temperature, and to determine the initial disc shear overlap based on the strip thickness, initial strip tension and initial strip temperature. The first edge-cutting control module 23 is used to control the disc shear based on the initial disc shear gap and the initial disc shear overlap, so that the disc shear cuts the edge of the pickled and continuously rolled IF steel soft material according to the initial disc shear gap and the initial disc shear overlap. The strip fluctuation analysis module 24 is used to acquire strip tension data and strip temperature data of IF steel soft material after pickling and continuous rolling at the strip entrance, and to determine the strip data fluctuation value based on the strip tension data, strip temperature data, initial strip tension and initial strip temperature. The disc shear parameter update module 25 is used to update the initial disc shear gap and the initial disc shear overlap based on the strip tension data and the strip temperature data if the strip data fluctuation value is greater than the preset strip fluctuation threshold, so as to obtain the target disc shear gap and the target disc shear overlap respectively. The second cutting edge control module 26 is used to control the disc shear based on the target disc shear gap and the target disc shear overlap.

[0099] In one embodiment of this application, the disc shear parameter calculation module 22, when determining the initial disc shear gap based on strip thickness, initial strip tension, and initial strip temperature, and determining the initial disc shear overlap based on strip thickness, initial strip tension, and initial strip temperature, is specifically used for: Determine the optimal disc shear gap, optimal disc shear overlap, gap control model, and overlap control model corresponding to the strip thickness; The initial disc shear gap is calculated based on the initial strip tension, initial strip temperature, and optimal disc shear gap using a gap control model. Based on the initial strip tension, initial strip temperature, and optimal disc shear overlap, the initial disc shear overlap is calculated using an overlap control model. The gap control model is as follows:

[0100] in, This is the initial disc shear gap. This refers to the upper limit of the allowable gap between the disc shears. This is the lower limit of the allowable gap for the disc shear. and All are weighting coefficients. , To achieve the optimal disc shear gap, The first tension dependence coefficient, The initial strip tension, The preset reference strip tension, The first temperature dependence coefficient, The initial strip temperature, The preset reference strip temperature; The overlap control model is as follows:

[0101] in, This represents the initial disk shear overlap. This refers to the upper limit of the allowable gap between the disc shears. A and are the lower limit of the allowable shear gap of the disc. All are weighting coefficients. , To achieve the optimal disc shear gap, The second tension dependence coefficient, This is the second temperature dependence coefficient; The first tension dependence coefficient, the second tension dependence coefficient, the first temperature dependence coefficient, and the second temperature dependence coefficient are all obtained based on multiple historical edge trimming data samples of IF steel soft material with the same strip thickness; each historical edge trimming data sample includes historical strip tension, historical disc shear gap, historical disc shear overlap, and historical strip edge trimming quality score; the historical strip edge trimming quality score is obtained based on the analysis of the strip edge data after trimming.

[0102] In one embodiment of this application, the first tension dependence coefficient is obtained based on multiple historical edge cutting data samples of IF steel soft material with the same strip thickness, and is obtained in the following way: The target historical cutting edge sample set is selected from multiple historical cutting edge data samples of IF steel soft material with the same strip thickness. The historical strip cutting edge quality scores of the samples in the target historical cutting edge sample set are all higher than the quality score threshold. Based on the historical disk shear overlap, all samples in the target historical cutting edge sample set are classified to obtain multiple sample subsets; the historical disk shear overlap of the samples in each sample subset belongs to a disk shear overlap interval, and the disk shear overlap intervals corresponding to each sample subset do not overlap. Determine the mean quality score of the samples in each sample subset, and calculate the dependence coefficient between tension and disc shear gap in each sample subset; The weight coefficient matrix is ​​determined based on the mean quality score of the samples in each sample subset; the weight coefficient matrix includes the weight coefficients corresponding to each sample subset, and the weight coefficients are positively correlated with the mean quality score of the samples; The first tension dependence coefficient is obtained by weighting and summing the dependence coefficients of tension and disc shear gap in each sample subset based on the weight coefficient matrix.

[0103] In one embodiment of this application, the strip tension data includes multiple tension values ​​acquired based on the target data acquisition frequency, and the strip temperature data includes multiple temperature values ​​acquired based on the target data acquisition frequency; the strip fluctuation analysis module 24, when determining the strip data fluctuation value based on the strip tension data, strip temperature data, initial strip tension, and initial strip temperature, is specifically used for: Calculate the mean tension and standard deviation of tension based on strip tension data, and calculate the absolute value of the tension difference between the mean tension and the initial strip tension; The tension fluctuation value is determined based on the absolute value of the tension difference and the standard deviation of the tension. Calculate the mean temperature and standard deviation of temperature based on strip temperature data, and calculate the absolute value of the temperature difference between the mean temperature and the initial strip temperature; Temperature fluctuation values ​​are determined based on the absolute value of the temperature difference and the standard deviation of the temperature. The strip data fluctuation value is determined based on the tension fluctuation value and the temperature fluctuation value.

[0104] In one embodiment of this application, when the disc shear parameter update module 25 updates the initial disc shear gap and the initial disc shear overlap based on strip tension data and strip temperature data, respectively, to obtain the target disc shear gap and the target disc shear overlap, it is specifically used for: The target strip tension is predicted based on strip tension data, and the target strip temperature is predicted based on strip temperature data. The initial disc shear gap is updated based on the target strip tension, initial strip tension, initial strip temperature, and target strip temperature to obtain the target disc shear gap; The initial disc shear overlap is updated based on the target strip tension, initial strip tension, initial strip temperature, and target strip temperature to obtain the target disc shear overlap.

[0105] In one embodiment of this application, the IF steel soft material disc shearing edge control system 20 further includes: an edge trimming quality analysis module, used for: Obtain the strip edge image after trimming, and extract burr features and edge flatness features from the strip edge image; The first quality score is determined based on burr features, and the second quality score is determined based on edge smoothness features. Obtain the image of the blade edge of the disc shear after trimming, extract the area of ​​steel adhering to the blade edge from the image, and determine the third quality score based on the area of ​​steel adhering to the blade edge. The strip edge trimming quality score is determined based on the first quality score, the second quality score, and the third quality score.

[0106] In one embodiment of this application, the IF steel soft material disc shearing edge control system 20 further includes: a strip correction module, used to: obtain the strip position of the IF steel soft material after pickling and continuous rolling at the strip entry point; if the strip position is not equal to the preset target position, control the strip correction device based on the difference between the strip position and the preset target position, so that the strip correction device adjusts the strip in transportation to the preset target position.

[0107] See Figure 3 , Figure 3 This is a schematic block diagram of an electronic device provided according to an embodiment of this application. Figure 3 The electronic device 300 in this embodiment may include one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memories 304 store computer programs, including program instructions. The processors 301 execute the program instructions stored in the memories 304. Specifically, the processors 301 are configured to invoke the program instructions to perform the functions of the modules in the aforementioned device embodiments, for example... Figure 2 The functions of the initial strip data acquisition module 21, the disc shear parameter calculation module 22, the first cutting edge control module 23, the strip fluctuation analysis module 24, the disc shear parameter update module 25, and the second cutting edge control module 26 are shown.

[0108] It should be understood that, in the embodiments of this application, the processor 301 may be a central processing unit (CPU), but it may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0109] Input device 302 may include a touchpad, a fingerprint sensor (for collecting the user's fingerprint information and fingerprint orientation information), a microphone, etc., and output device 303 may include a display (LCD, etc.), a speaker, etc.

[0110] The memory 304 may include read-only memory and random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store information about IF steel soft material.

[0111] In specific implementations, the processor 301, input device 302, and output device 303 described in the embodiments of this application can execute the implementation methods described in the embodiments of the IF steel soft material disc shearing edge control method provided in the embodiments of this application, or they can execute the implementation methods of the electronic device 300 described in the embodiments of this application, which will not be repeated here.

[0112] In another embodiment of this application, a computer-readable storage medium is provided. This computer-readable storage medium stores a computer program, which includes program instructions. When executed by a processor, the program instructions implement all or part of the processes in the methods described above. Alternatively, the computer program can instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0113] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the foregoing embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD) card, flash card, etc., equipped on the electronic device. Furthermore, the computer-readable storage medium can include both internal and external storage units of the electronic device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0114] Those skilled in the art will recognize that the modules / units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0115] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the electronic devices and units described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0116] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of modules / units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules, units, or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces or modules / units, or it may be an electrical, mechanical, or other form of connection.

[0117] The modules / units described as separate components may or may not be physically separate. Similarly, the components shown as modules / units may or may not be physical modules / units; they may be located in one place or distributed across multiple network modules / units. Some or all of the modules / units can be selected to achieve the purpose of the embodiments of this application, depending on actual needs.

[0118] Furthermore, the functional modules / units in the various embodiments of this application can be integrated into one processing module / unit, or each module / unit can exist physically separately, or two or more modules / units can be integrated into one module / unit. The integrated modules / units described above can be implemented in hardware or in the form of software functional modules / units.

[0119] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for controlling the shearing edge of IF steel soft material disc, characterized in that, include: Obtain the strip thickness, initial strip tension, and initial strip temperature of the IF steel soft stock after pickling and continuous rolling at the strip entrance; The IF steel soft material after pickling and continuous rolling is a strip steel to be trimmed. The IF steel soft material is conveyed to the disc shear through the strip steel inlet at a preset conveying speed. The initial disc shear gap is determined based on the strip thickness, the initial strip tension, and the initial strip temperature; the initial disc shear overlap is determined based on the strip thickness, the initial strip tension, and the initial strip temperature. The disc shear is controlled based on the initial disc shear gap and the initial disc shear overlap, so that the disc shear trims the soft IF steel material after pickling and continuous rolling according to the initial disc shear gap and the initial disc shear overlap. Obtain strip tension data and strip temperature data of IF steel soft material after pickling and continuous rolling at the strip entrance; determine strip data fluctuation value based on the strip tension data, the strip temperature data, the initial strip tension and the initial strip temperature; If the strip steel data fluctuation value is greater than the preset strip steel fluctuation threshold, the initial disc shear gap and the initial disc shear overlap are updated based on the strip steel tension data and the strip steel temperature data, respectively, to obtain the target disc shear gap and the target disc shear overlap. The disc shear is controlled based on the target disc shear gap and the target disc shear overlap.

2. The method for controlling the shearing edge of IF steel soft material disc as described in claim 1, characterized in that, The process of determining the initial disc shear gap based on the strip thickness, the initial strip tension, and the initial strip temperature, and determining the initial disc shear overlap based on the strip thickness, the initial strip tension, and the initial strip temperature, includes: Determine the optimal disc shear gap, optimal disc shear overlap, gap control model, and overlap control model corresponding to the strip thickness; Based on the initial strip tension, the initial strip temperature, and the optimal disc shear gap, the initial disc shear gap is calculated using a gap control model. Based on the initial strip tension, the initial strip temperature, and the optimal disc shear overlap, the initial disc shear overlap is calculated using an overlap control model. The gap control model is as follows: in, This is the initial disc shear gap. This refers to the upper limit of the allowable gap between the disc shears. This is the lower limit of the allowable gap for the disc shear. and All are weighting coefficients. , To achieve the optimal disc shear gap, The first tension dependence coefficient, The initial strip tension, The preset reference strip tension, The first temperature dependence coefficient, The initial strip temperature, The preset reference strip temperature; The overlap control model is as follows: in, This represents the initial disk shear overlap. This refers to the upper limit of the allowable gap between the disc shears. A and are the lower limit of the allowable shear gap of the disc. All are weighting coefficients. , To achieve the optimal disc shear gap, The second tension dependence coefficient, This is the second temperature dependence coefficient; The first tension dependence coefficient, the second tension dependence coefficient, the first temperature dependence coefficient, and the second temperature dependence coefficient are all obtained based on multiple historical edge trimming data samples of IF steel soft material with the same strip thickness; each historical edge trimming data sample includes historical strip tension, historical disc shear gap, historical disc shear overlap, and historical strip edge trimming quality score; the historical strip edge trimming quality score is obtained based on the analysis of the strip edge data after trimming.

3. The method for controlling the shearing edge of IF steel soft material disc as described in claim 2, characterized in that, The first tension dependence coefficient is obtained based on multiple historical edge cutting data samples of IF steel soft material with the same strip thickness, and is obtained in the following way: A target historical cutting edge sample set is selected from multiple historical cutting edge data samples of IF steel soft material with the same strip thickness, wherein the historical strip cutting edge quality scores of the samples in the target historical cutting edge sample set are all higher than the quality score threshold. Based on the historical disk shear overlap, all samples in the target historical edge cutting sample set are classified to obtain multiple sample subsets; the historical disk shear overlap of the samples in each sample subset belongs to a disk shear overlap interval, and the disk shear overlap intervals corresponding to each sample subset do not overlap with each other. Determine the mean quality score of the samples in each sample subset, and calculate the dependence coefficient between tension and disc shear gap in each sample subset; A weight coefficient matrix is ​​determined based on the mean quality score of the samples in each sample subset; the weight coefficient matrix includes the weight coefficients corresponding to each sample subset, and the weight coefficients are positively correlated with the mean quality score of the samples; The first tension dependence coefficient is obtained by weighting and summing the dependence coefficients of tension and disc shear gap in each sample subset based on the weighted coefficient matrix.

4. The method for controlling the shearing edge of IF steel soft material disc as described in claim 1, characterized in that, The strip tension data includes multiple tension values ​​obtained based on the target data acquisition frequency, and the strip temperature data includes multiple temperature values ​​obtained based on the target data acquisition frequency. The determination of strip data fluctuation values ​​based on the strip tension data, strip temperature data, initial strip tension, and initial strip temperature includes: Based on the strip tension data, calculate the mean tension and standard deviation of tension, and calculate the absolute value of the tension difference between the mean tension and the initial strip tension; The tension fluctuation value is determined based on the absolute value of the tension difference and the standard deviation of the tension. Calculate the mean temperature and standard deviation of the temperature based on the strip temperature data, and calculate the absolute value of the temperature difference between the mean temperature and the initial strip temperature; The temperature fluctuation value is determined based on the absolute value of the temperature difference and the standard deviation of the temperature. The strip data fluctuation value is determined based on the tension fluctuation value and the temperature fluctuation value.

5. The method for controlling the shearing edge of IF steel soft material disc as described in claim 1, characterized in that, The initial disc shear gap and the initial disc shear overlap are updated based on the strip tension data and the strip temperature data, respectively, to obtain the target disc shear gap and the target disc shear overlap, including: The target strip tension is predicted based on the strip tension data, and the target strip temperature is predicted based on the strip temperature data. The initial disc shear gap is updated based on the target strip tension, the initial strip tension, the initial strip temperature, and the target strip temperature to obtain the target disc shear gap; The initial disc shear overlap is updated based on the target strip tension, the initial strip tension, the initial strip temperature, and the target strip temperature to obtain the target disc shear overlap.

6. The method for controlling the shearing edge of IF steel soft material disc as described in claim 1, characterized in that, Also includes: Obtain an image of the strip edge after trimming, and extract burr features and edge flatness features from the strip edge image; A first quality score is determined based on the burr characteristics, and a second quality score is determined based on the edge smoothness characteristics. Obtain an image of the blade edge of the disc shear after trimming, extract the area of ​​steel adhering to the blade edge from the image, and determine a third quality score based on the area of ​​steel adhering to the blade edge. The strip edge trimming quality score is determined based on the first quality score, the second quality score, and the third quality score.

7. The method for controlling the shearing edge of IF steel soft material disc as described in claim 1, characterized in that, Before controlling the disc shear based on the initial disc shear gap and the initial disc shear overlap, the method further includes: Obtain the strip position of the IF steel soft material after pickling and continuous rolling at the strip entrance; If the strip position is not equal to the preset target position, the strip correction device is controlled based on the difference between the strip position and the preset target position, so that the strip correction device adjusts the strip in transportation to the preset target position.

8. A disc-based edge-shearing control system for IF steel soft material, characterized in that, include: The initial strip data acquisition module is used to acquire the strip thickness, initial strip tension, and initial strip temperature of the IF steel soft material after pickling and continuous rolling at the strip entrance. The IF steel soft material after pickling and continuous rolling is a strip steel to be trimmed. The IF steel soft material is conveyed to the disc shear through the strip steel inlet at a preset conveying speed. The disc shear parameter calculation module is used to determine the initial disc shear gap based on the strip thickness, the initial strip tension, and the initial strip temperature, and to determine the initial disc shear overlap based on the strip thickness, the initial strip tension, and the initial strip temperature. The first edge-cutting control module is used to control the disc shear based on the initial disc shear gap and the initial disc shear overlap, so that the disc shear cuts the edge of the pickled and continuously rolled IF steel material according to the initial disc shear gap and the initial disc shear overlap. The strip fluctuation analysis module is used to acquire strip tension data and strip temperature data of IF steel soft material after pickling and continuous rolling at the strip entrance, and to determine the strip data fluctuation value based on the strip tension data, the strip temperature data, the initial strip tension and the initial strip temperature; The disc shear parameter update module is used to update the initial disc shear gap and the initial disc shear overlap based on the strip tension data and the strip temperature data if the strip data fluctuation value is greater than the preset strip fluctuation threshold, so as to obtain the target disc shear gap and the target disc shear overlap respectively. The second cutting edge control module is used to control the disc shear based on the target disc shear gap and the target disc shear overlap.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 7.

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