Control method and control device for hot-rolled coil shape

Abstract

The invention discloses a control method and a control device for a hot-rolled coil shape. The control method comprises the following steps: S1, real-time monitoring and data acquisition; s2, data analysis and deviation trend prediction; s3, presetting the opening degree; and S4, performing dynamic adjustment. The invention belongs to the technical field of hot-rolled plate strip production, and particularly relates to a hot-rolled coil shape control method and device.

Description

Technical Field

[0001] The invention belongs to the technical field of hot-rolled strip production, and specifically refers to a hot-rolled coil shape control method and control device. Background Art

[0002] In the hot-rolled strip production line, a width measuring instrument is installed at the exit side of the last rolling mill of the finishing mill group. The width measuring instrument can measure the centerline deviation and width of the hot-rolled plate in real time. After leaving the rolling mill, the hot-rolled coil passes through the laminar cooling section, then enters the coiling inlet side guide plate, and then reaches the coiler for coiling.

[0003] Since the head of the plate and strip is an unstable section during hot rolling, the deviation of the center line of the head of the plate and strip near the center line of the rolling line is very irregular, and before the head section of the plate and strip enters the guide plate on the coiling entrance side, the tension between the coiler and the last rolling mill has not been established. Therefore, the head of the plate and strip is the area with the largest fluctuation in deviation from the center line of the rolling line in the whole coil, and the rolling process control of each coil of plate and strip is different, so the deviation trend of the head of the plate and strip is different. Therefore, the control of the stability of the head of the plate and strip is particularly critical to the successful coiling of the plate and strip.

[0004] The existing opening control of the guide plate on the inlet side of the coiler does not take into account the impact of the unstable area at the head of the plate and strip coil. A fixed opening control scheme is adopted for all coils of the same specification and variety: that is, the width of the plate and strip is added with a compensation amount. This results in the opening control of the guide plate on the inlet side of the coiler being either too large or too small, and no accurate and flexible control is performed in combination with the differentiated factors in the hot rolling process of each coil. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a hot-rolled coil shape control method and control device that can accurately and flexibly control the opening degree of the guide plate on the inlet side of the coiler by combining the differentiated factors in the hot rolling process of each coil.

[0006] In order to achieve the above functions, the technical solution adopted by the present invention is as follows: A method for controlling the shape of a hot-rolled coil comprises the following steps:

[0007] S1. Real-time monitoring and data collection: During the production process of hot-rolled strips, width measuring instruments, temperature sensors, speed sensors and other equipment are used to monitor the width, centerline deviation, temperature, speed and other parameters of the strips in real time, and the data is transmitted to the control system to collect a large number of different strip parameters (such as width, thickness, material, temperature, rolling speed, etc.) and the corresponding data on the opening degree of the guide plate on the coiling inlet side and the coiling effect;

[0008] S2. Data analysis and deviation trend prediction: The control system analyzes the collected data, combines historical rolling data with plate and strip material, specifications, hot rolling process and other factors, and uses intelligent algorithms such as neural network algorithms (such as BP neural network, convolutional neural network, etc.) and genetic algorithms to predict the deviation trend of the plate and coil head. These algorithms can process a large amount of complex data and accurately capture the dynamic change characteristics of the plate and strip head, thereby improving the accuracy of deviation trend prediction and finding the potential relationship between plate and strip parameters and opening degree;

[0009] S3. Preset opening degree: According to the predicted deviation trend, the optimal preset opening degree of the side guide plate at the coiling entrance is calculated. The opening degree should be able to adapt to the unstable state of the strip head and ensure that the strip enters the side guide plate smoothly and improve the coiling success rate. According to the results of data analysis, a mathematical model is established to predict the appropriate opening degree according to the strip parameters;

[0010] For example: opening degree = A*strip width + B*strip thickness + C*material parameters + D*strip temperature + E*rolling speed + F;

[0011] Among them: A, B, C, D, E are the strip width coefficient, thickness coefficient, material coefficient, temperature coefficient, and speed coefficient respectively. These coefficients need to be determined by regression analysis of a large amount of actual production data; material parameters can be assigned values ​​according to different materials, such as 1 for common materials and 2 for special materials; F is the compensation value, which can be determined by statistically analyzing the differences between various situations in actual production and theoretical calculations.

[0012] S4. Dynamic adjustment: After the strip enters the side guide plate, the position change of the strip is continuously monitored, and the opening degree of the side guide plate is dynamically adjusted according to the real-time data to ensure that the strip is always in the correct position.

[0013] Preferably, the data in step S1 may come from records, sensor measurements and experimental tests in the actual production process.

[0014] Preferably, the data collected in step S2 is preprocessed by removing outliers and normalizing the data.

[0015] The present invention provides a hot-rolled coil shape control device, comprising:

[0016] Acquisition module, which is used to monitor various parameters of the hot rolling process in real time through thickness sensors, width sensors, temperature sensors, speed sensors, etc.;

[0017] The control system is used to receive parameter information transmitted by the sensor module, use the built-in intelligent algorithm to make predictions and calculations, and output control signals to the control module;

[0018] A control module, used to control the coiling of the hot-rolled strip according to the preset opening of the side guide plate at the coiling inlet, and adjust the opening of the side guide plate according to the signal of the control system;

[0019] The database module stores historical rolling data and provides data support for intelligent algorithms to continuously optimize prediction and control effects.

[0020] The present invention adopts the above structure to achieve the following beneficial effects:

[0021] 1. By accurately presetting the opening degree of the guide plate on the coiling entrance side, the position of the plate strip head can be effectively controlled, the influence of the head deviation on the coiling process can be reduced, and the coiling success rate of the plate coil can be improved.

[0022] 2. Real-time monitoring and adjustment of the side guide opening to adapt to the head deviation trend of different plates and strips, improve the stability and reliability of hot rolling production, and combine the differentiated factors in the hot rolling process of each coil of plates and strips to perform accurate and flexible control, reduce production interruptions and adjustment time caused by unstable head position of plates and strips, and improve production efficiency.

[0023] 3. The intelligent algorithm can be adjusted according to different plate and strip materials, specifications and hot rolling processes to adapt to various production conditions. DETAILED DESCRIPTION

[0024] The technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Example

[0026] A method for controlling hot rolled coil shape, comprising the following steps:

[0027] S1. Real-time monitoring and data collection: During the production process of hot-rolled strips, width measuring instruments, temperature sensors, speed sensors and other equipment are used to monitor the width, centerline deviation, temperature, speed and other parameters of the strips in real time, and the data is transmitted to the control system to collect a large number of different strip parameters (such as width, thickness, material, temperature, rolling speed, etc.) and the corresponding data on the opening degree of the guide plate on the coiling inlet side and the coiling effect;

[0028] S2. Data analysis and deviation trend prediction: The control system analyzes the collected data, combines historical rolling data with plate and strip material, specifications, hot rolling process and other factors, and uses intelligent algorithms such as neural network algorithms (such as BP neural network, convolutional neural network, etc.) and genetic algorithms to predict the deviation trend of the plate and coil head. These algorithms can process a large amount of complex data and accurately capture the dynamic change characteristics of the plate and strip head, thereby improving the accuracy of deviation trend prediction and finding the potential relationship between plate and strip parameters and opening degree;

[0029] S3. Preset opening degree: According to the predicted deviation trend, the optimal preset opening degree of the side guide plate at the coiling entrance is calculated. The opening degree should be able to adapt to the unstable state of the strip head and ensure that the strip enters the side guide plate smoothly and improve the coiling success rate. According to the results of data analysis, a mathematical model is established to predict the appropriate opening degree according to the strip parameters;

[0030] For example: opening degree = A*strip width + B*strip thickness + C*material parameters + D*strip temperature + E*rolling speed + F;

[0031] Among them: A, B, C, D, E are respectively the strip width coefficient, thickness coefficient, material coefficient, temperature coefficient, and speed coefficient. These coefficients need to be determined by regression analysis of a large amount of actual production data; material parameters can be assigned values ​​according to different materials, such as 1 for common materials and 2 for special materials; F is the compensation value, which can be determined by statistically analyzing the differences between various situations in actual production and theoretical calculations;

[0032] For a certain hot-rolled strip production situation, the coefficients are determined by data analysis as follows: A = 1.2, B = 0.5, C = 0.8 (assuming that the material parameter is 1), D = 0.3, E = 0.2, F = 10. If the strip width is 1000mm, the thickness is 10mm, the temperature is 500℃, and the rolling speed is 10m / s, then the opening is calculated as follows:

[0033] Opening degree = 1.2 × 1000 + 0.5 × 10 + 0.8 × 1 + 0.3 × 500 + 0.2 × 10 + 10 = 1200 + 5 + 0.8 + 150 + 2 + 10 = 1367.8 mm;

[0034] It should be noted that this formula is only a preliminary example. In actual applications, it needs to be continuously adjusted and optimized based on more actual data to improve the accuracy of the prediction. Different materials, thickness ranges, temperature ranges, and speed ranges may require different coefficients to be determined separately.

[0035] S4. Dynamic adjustment: After the strip enters the side guide plate, the position change of the strip is continuously monitored, and the opening degree of the side guide plate is dynamically adjusted according to the real-time data to ensure that the strip is always in the correct position.

[0036] A hot-rolled coil shape control device monitors various parameters in the hot-rolling process in real time through an acquisition module, a control system receives parameter information transmitted by a sensor module, uses a built-in intelligent algorithm to perform prediction and calculation, and outputs a control signal to a control module; the control module controls the coiling of the hot-rolled plate and strip according to the preset opening degree of the side guide plate at the coiling entrance, and adjusts the opening degree of the side guide plate according to the signal of the control system; a database module stores historical rolling data and provides data support for the intelligent algorithm so as to continuously optimize the prediction and control effects.

[0037] The present invention and its implementation methods are described above, and such description is not restrictive. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design structures and embodiments similar to the technical solution without creativity, which should all fall within the protection scope of the present invention.

Claims

1. A method for controlling the shape of a hot rolled coil, characterized in that: The steps include: S1. Real-time monitoring and data collection: During the hot-rolled strip production process, the width measuring instrument, temperature sensor, speed sensor and other equipment are used to monitor the width, centerline deviation, temperature, speed and other parameters of the strip in real time, and the data is transmitted to the control system to collect a large number of different strip parameters (such as width, thickness, material, temperature, rolling speed, etc.) and the corresponding data on the opening degree of the guide plate on the coiling inlet side and the coiling effect; S2. Data analysis and deviation trend prediction: The control system analyzes the collected data, combines historical rolling data with plate and strip material, specifications, hot rolling process and other factors, and uses intelligent algorithms such as neural network algorithms (such as BP neural network, convolutional neural network, etc.) and genetic algorithms to predict the deviation trend of the plate and coil head. These algorithms can process a large amount of complex data and accurately capture the dynamic change characteristics of the plate and strip head, thereby improving the accuracy of deviation trend prediction and finding the potential relationship between plate and strip parameters and opening degree; S3. Preset opening degree: According to the predicted deviation trend, the optimal preset opening degree of the side guide plate at the coiling entrance is calculated. The opening degree should be able to adapt to the unstable state of the strip head and ensure that the strip enters the side guide plate smoothly and improve the coiling success rate. According to the results of data analysis, a mathematical model is established to predict the appropriate opening degree according to the strip parameters; For example: opening degree = A*plate width + B*plate thickness + C*material parameters + D*plate temperature + E*rolling speed + F; Among them: A, B, C, D, E are the strip width coefficient, thickness coefficient, material coefficient, temperature coefficient, and speed coefficient respectively. These coefficients need to be determined by regression analysis of a large amount of actual production data; material parameters can be assigned values ​​according to different materials, such as 1 for common materials and 2 for special materials; F is the compensation value, which can be determined by statistically analyzing the differences between various situations in actual production and theoretical calculations; S4. Dynamic adjustment: After the strip enters the side guide plate, the position change of the strip is continuously monitored, and the opening degree of the side guide plate is dynamically adjusted according to the real-time data to ensure that the strip is always in the correct position.

2. A method for controlling hot rolled coil shape according to claim 1, characterized in that: The data in step S1 comes from records, sensor measurements and experimental tests in the actual production process.

3. A method for controlling hot rolled coil shape according to claim 1, characterized in that: The data collected in step S2 is preprocessed by removing outliers and normalizing the data.

4. A hot rolled coil shape control device, characterized in that: include: Acquisition module, which is used to monitor various parameters of the hot rolling process in real time through thickness sensors, width sensors, temperature sensors, speed sensors, etc.; The control system is used to receive parameter information transmitted by the sensor module, use the built-in intelligent algorithm to make predictions and calculations, and output control signals to the control module; A control module, used to control the coiling of the hot-rolled strip according to the preset opening of the side guide plate at the coiling inlet, and adjust the opening of the side guide plate according to the signal of the control system; The database module stores historical rolling data and provides data support for intelligent algorithms to continuously optimize prediction and control effects.