A method for controlling a hot-rolled strip coiling temperature and related equipment

Abstract

The application discloses a hot-rolled strip coiling temperature control method and related equipment, and relates to the technical field of hot rolling. The method comprises the following steps: acquiring temperature data in the width direction of the strip; normalizing and polynomial fitting the temperature data to calculate a center point temperature value of the width of the strip; and adjusting the opening and closing state of a cooling zone valve based on the center point temperature value to control the coiling temperature of the strip. The application can more accurately reflect the actual temperature condition of the strip, effectively overcomes the problem that the traditional point-type pyrometer measurement is easily affected by the shape and surface of the strip and is distorted, and thus improves the mechanical properties and organizational properties of the strip and guarantees the product quality.

Description

Technical Field

[0001] This application relates to the field of hot rolling technology, and in particular to a method and related equipment for controlling the coiling temperature of hot-rolled strip steel. Background Technology

[0002] In the production of hot-rolled strip steel, coiling temperature is one of the key parameters affecting the mechanical and microstructure properties of the product. Traditional coiling temperature control methods typically use a point-type pyrometer to measure the temperature at the center point of the strip and use this as a feedback signal to adjust the opening and closing of the cooling zone valves. However, when the strip exhibits poor shape (such as waviness or misalignment) or surface scale, the temperature values ​​measured by the point-type pyrometer are often distorted, causing the control system to be unable to accurately adjust the cooling intensity, leading to quality problems such as coiling temperature fluctuations and substandard performance. Therefore, there is an urgent need for a new method for controlling the coiling temperature of hot-rolled strip steel to solve the control inaccuracies caused by measurement distortion in existing technologies. Summary of the Invention

[0003] The summary section introduces a series of simplified concepts, which will be further explained in detail in the detailed description section. This summary section is not intended to limit the key and essential technical features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0004] In a first aspect, this application provides a method for controlling the coiling temperature of hot-rolled strip steel, including:

[0005] Obtain temperature data in the width direction of the strip;

[0006] The temperature data is normalized and polynomial fitted to calculate the temperature value at the center point of the strip width.

[0007] Based on the center point temperature value, the opening and closing status of the cooling zone valves is adjusted to control the coiling temperature of the strip steel.

[0008] In some embodiments, the specific steps for acquiring temperature data in the strip width direction include:

[0009] A cross-sectional scanning pyrometer is used to scan the strip width direction to obtain temperature data. The cross-sectional scanning pyrometer is set at the coiler inlet. The scanning frequency of the cross-sectional scanning pyrometer is 10Hz to 150Hz, the step size is a preset amplitude, and the number of sampling points for each scanning line is greater than or equal to 1000.

[0010] In some implementations, the temperature data is normalized and polynomial fitted to calculate the temperature value at the center point of the strip width, including:

[0011] The acquired temperature data in the width direction of the strip is normalized according to the horizontal axis.

[0012] The normalized temperature data were fitted using a polynomial to obtain the fitting results;

[0013] Based on the fitting results, the center point temperature value of the strip width is determined.

[0014] In some implementations, the normalization of temperature data is determined based on the following formula, expressed as:

[0015]

[0016] Where, x i Let x' be the x-coordinate of the i-th point along the width direction, 0 ≤ xi ≤ w, where w is the width of the strip, and x'' is the x-coordinate of the i-th point. i Let x' be the normalized x-coordinate, -1 ≤ x' i ≤1.

[0017] In some implementations, the polynomial fit is determined based on the following formula, expressed as:

[0018]

[0019] Wherein t(x′) i (x′) is the normalized x-coordinate. i The corresponding actual measured temperature values, k0 is the temperature value at the center point of the strip width, k1, k2, ... k n The fitting coefficients are denoted as .

[0020] In some implementations, the opening and closing state of the cooling zone valves is adjusted based on the center point temperature value to control the coiling temperature of the strip, including:

[0021] Compare the calculated center point temperature value with the target winding temperature;

[0022] Based on the comparison results, the opening and closing combinations and opening and closing times of the cooling zone valves are determined to adjust the cooling rate of the strip steel and make the coiling temperature of the strip steel approach the target coiling temperature. Specifically, when the center point temperature is greater than the target coiling temperature, the number of valves opened in the cooling zone is increased or the valve opening time is extended; when the center point temperature is less than the target coiling temperature, the number of valves opened in the cooling zone is reduced or the valve opening time is shortened.

[0023] In some implementations, it also includes:

[0024] When the temperature at the center point is greater than the first preset temperature range; or,

[0025] If the temperature at the center point is less than the second preset temperature range, the strip is marked as an unqualified coil. The first preset temperature range is the target coiling temperature plus a first preset temperature, and the second preset temperature range is the target coiling temperature minus a first preset temperature.

[0026] Secondly, this application proposes a device for controlling the coiling temperature of hot-rolled strip steel, comprising:

[0027] Width temperature acquisition unit is used to acquire temperature data in the width direction of the strip.

[0028] The center temperature calculation unit is used to normalize and perform polynomial fitting on temperature data to calculate the center point temperature value of the strip width.

[0029] The coiling temperature control unit is used to adjust the opening and closing status of the cooling zone valves based on the center point temperature value in order to control the coiling temperature of the strip.

[0030] Thirdly, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program stored in the memory to implement the steps of the hot-rolled strip coiling temperature control method of any of the first aspects.

[0031] Fourthly, this application also proposes a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for controlling the coiling temperature of hot-rolled strip steel according to any one of the first aspects.

[0032] In summary, this application introduces a cross-sectional scanning pyrometer to obtain temperature distribution data along the width of the strip, and combines normalization processing and polynomial fitting methods to accurately calculate the temperature value at the center point of the strip width, replacing the measurement results of traditional point-type pyrometers. This effectively solves the problem of temperature measurement distortion caused by poor strip shape or surface scale. Simultaneously, precise adjustment of the cooling zone valve opening and closing status based on the center point temperature value can effectively control the strip coiling temperature, thereby improving the temperature control accuracy of the strip, reducing quality fluctuations caused by measurement distortion, and ensuring the quality stability and consistency of the strip.

[0033] The method for controlling the coiling temperature of hot-rolled strip steel proposed in this application, along with other advantages, objectives, and features of this application, will be partly apparent from the following description and partly understood by those skilled in the art through study and practice of this application. Attached Figure Description

[0034] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit this specification. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0035] Figure 1 A schematic flowchart of a method for controlling the coiling temperature of hot-rolled strip steel provided in this application embodiment;

[0036] Figure 2 This is a first schematic diagram showing the comparison results between a scanning pyrometer and a point pyrometer provided in an embodiment of this application;

[0037] Figure 3 A second schematic diagram showing the comparison results between a scanning pyrometer and a point pyrometer provided in an embodiment of this application;

[0038] Figure 4 A schematic diagram of a device for controlling the coiling temperature of hot-rolled strip steel provided in this application embodiment;

[0039] Figure 5 This is a schematic diagram of an electronic device for controlling the coiling temperature of hot-rolled strip steel, provided in an embodiment of this application. Detailed Implementation

[0040] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus. The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them.

[0041] Please see Figure 1 This is a schematic flowchart of a method for controlling the coiling temperature of hot-rolled strip steel according to an embodiment of this application, which may specifically include:

[0042] S110, Obtain temperature data in the width direction of the strip;

[0043] For example, in the production of hot-rolled strip steel, acquiring temperature data along the width of the strip is fundamental to coiling temperature control. Traditional point-type pyrometers can only measure the temperature at the center point of the strip and cannot reflect the temperature distribution differences along the width, especially when the strip has problems such as poor shape or surface scale, the measurement results are prone to distortion. To solve this problem, this application uses a cross-sectional scanning pyrometer to scan and measure the width of the strip. This high-precision temperature data acquisition method provides high-quality input data for subsequent normalization processing and polynomial fitting.

[0044] S120. Normalize and perform polynomial fitting on the temperature data to calculate the temperature value at the center point of the strip width.

[0045] For example, the temperature data along the strip width is first normalized to eliminate the influence of positional differences and ensure data consistency. Then, multinomial fitting is used to model the normalized temperature data, obtaining the temperature distribution along the strip width. The temperature value at the center point of the strip width is then calculated through fitting. This method accurately calculates the center point temperature, avoiding measurement distortion caused by localized temperature anomalies, providing accurate data support for subsequent temperature control, and ensuring that the strip coiling temperature is stable and meets target requirements.

[0046] S130. Based on the center point temperature value, adjust the opening and closing state of the cooling zone valve to control the coiling temperature of the strip steel.

[0047] For example, in the production of hot-rolled strip steel, the coiling temperature plays a crucial role in the mechanical and microstructure properties of the strip. Step S130 is based on the principle of precisely controlling the coiling temperature by adjusting the opening and closing state of the cooling zone valves to change the cooling rate of the strip. Once the center-point temperature value of the strip width is obtained, it is compared with a pre-set target coiling temperature; this comparison is a crucial basis for determining how to adjust the valves.

[0048] In summary, this application introduces a cross-sectional scanning pyrometer to obtain temperature distribution data along the width of the strip, and combines normalization processing and polynomial fitting methods to accurately calculate the temperature value at the center point of the strip width, replacing the measurement results of traditional point-type pyrometers. This effectively solves the problem of temperature measurement distortion caused by poor strip shape or surface scale. Simultaneously, precise adjustment of the cooling zone valve opening and closing status based on the center point temperature value can effectively control the strip coiling temperature, thereby improving the temperature control accuracy of the strip, reducing quality fluctuations caused by measurement distortion, and ensuring the quality stability and consistency of the strip.

[0049] In some examples, the specific steps for obtaining temperature data in the strip width direction include:

[0050] A cross-sectional scanning pyrometer is used to scan the strip width direction to obtain temperature data. The cross-sectional scanning pyrometer is set at the coiler inlet. The scanning frequency of the cross-sectional scanning pyrometer is 10Hz to 150Hz, the step size is a preset amplitude, and the number of sampling points for each scanning line is greater than or equal to 1000.

[0051] For example, a cross-sectional scanning pyrometer uses non-contact infrared thermometry to rapidly scan along the width of the strip, acquiring high-precision temperature distribution data in real time. Installed at the coiler inlet, the device's scanning frequency is adjustable from 10Hz to 150Hz, and each scan line can collect over 1000 temperature points. This design adapts to different production speeds: low-frequency scanning is used at low speeds to reduce data redundancy, while the scanning frequency is increased during high-speed rolling to ensure the real-time nature and completeness of temperature data. The high number of sampling points (≥1000 points) per scan line covers the entire width of the strip, providing a high-resolution temperature distribution curve, thereby accurately capturing the temperature gradient changes from the strip's edge to its center.

[0052] The measurement principle of the cross-sectional scanning pyrometer is based on the synergy of dynamic scanning and high-speed data acquisition. Its scanning step size is preset, and adjusting the step size optimizes the balance between scanning accuracy and efficiency. For example, when the strip width is large, appropriately increasing the step size can reduce the single scan time while still ensuring the detailed integrity of the temperature data through a high number of sampling points. The raw temperature data acquired by the scan is transmitted to the process control system in real time via messages (such as TCP / IP protocol). The standardized message encapsulation format ensures the stability and compatibility of data transmission. This design avoids the local distortion problem caused by the fixed measurement position of traditional point-type pyrometers, and is particularly suitable for complex working conditions such as strip waviness, deviation, or surface scale.

[0053] In practical applications, the advantages of cross-sectional scanning pyrometers lie in their adaptability to abnormal operating conditions. When strip steel exhibits poor shape, such as single-sided or central waviness, its surface in the width direction may undulate or shift. Traditional point-type pyrometers, due to their fixed measurement positions, cannot accurately capture the true temperature. However, scanning pyrometers, by dynamically covering the central area of ​​47%-53% of the strip width, can effectively filter edge interference and ensure the representativeness of the temperature at the center point. Furthermore, its high-speed detector (response time ≤ 1.0 μs) avoids the data lag problem of traditional millisecond-level detectors, ensuring that the temperature data is highly synchronized with the actual state of the strip, providing a reliable data foundation for subsequent temperature fitting, real-time control, and quality assessment.

[0054] In some instances, temperature data is normalized and polynomial fitted to calculate the center-point temperature value of the strip width, including:

[0055] The acquired temperature data along the width of the strip is normalized according to the horizontal axis. The normalization process is determined based on the following formula, expressed as:

[0056]

[0057] Where, x i Let x be the x-coordinate of the i-th point along the width direction, 0 ≤ x i ≤w, where w is the strip width, x′ i Let x' be the normalized x-coordinate, -1 ≤ x' i ≤1.

[0058] The normalized temperature data were fitted using a polynomial to obtain the fitting results;

[0059] Based on the fitting results, the center point temperature value of the strip width is determined;

[0060] The polynomial fitting is determined based on the following formula, expressed as:

[0061]

[0062] Wherein t(x′) i (x′) is the normalized x-coordinate. i The corresponding actual measured temperature values, k0 is the temperature value at the center point of the strip width, k1, k2, ... k n The fitting coefficients are denoted as .

[0063] For example, in the production process of hot-rolled strip steel, after acquiring the temperature data in the width direction of the strip steel, it must first be normalized. Because the width of the strip steel varies, the actual physical location represented by the x-coordinate of the measurement points differs for different strip steels. If the original x-coordinate data is directly used to process the temperature data, it will lead to inconsistent data benchmarks, making effective unified analysis impossible. The normalization formula used in this application normalizes the x-coordinate of each measurement point in the width direction of the strip steel. i The normalized x' is obtained by converting the actual width w of the strip. i The advantage of this approach is that, regardless of the actual width of the strip, after normalization, the positional information along the width direction of all strips is mapped to the range of -1 to 1. This allows for subsequent analysis of temperature data from different strips under the same standard, eliminating the impact of strip width differences on the calculation and laying the foundation for a more accurate analysis of temperature distribution patterns.

[0064] After normalization, these data need to be fitted using a polynomial. Because the actual measured temperature data are discrete points, it's difficult to intuitively determine the temperature value at the center point of the strip width. Polynomial fitting can approximate the temperature change trend of these discrete points using a mathematical expression. Using the aforementioned polynomial formula and mathematical methods such as the least squares method, suitable fitting coefficients are calculated. Once these coefficients are determined, a polynomial function that closely approximates the actual temperature data distribution is obtained. This function acts like a smooth curve, connecting the discrete temperature data points, thus more clearly showing the continuous temperature change along the strip width and providing a powerful tool for accurately calculating the center point temperature value.

[0065] Finally, the temperature value at the center point of the strip width is determined based on the polynomial fitting results. In the obtained fitting polynomial, the center point of the strip width corresponds to a specific normalized abscissa value (the normalized abscissa of the center position of the strip width is set to 0). Substituting this specific abscissa value into the fitting polynomial, the calculated result is the temperature value at the center point of the strip width. This temperature value comprehensively considers the temperature information of various measurement points along the strip width, and compared to the temperature value measured by simply using a point pyrometer in the traditional method, it more accurately and comprehensively reflects the true center temperature of the strip. In subsequent production processes, this accurate center point temperature value is used to precisely control the opening and closing state of the cooling zone valves, ensuring that the coiling temperature of the strip meets the predetermined process requirements, thereby guaranteeing the quality of the strip products and meeting the needs of industrial production.

[0066] It should be noted that, in this embodiment of the application, it can be set to 6.

[0067] In some instances, the opening and closing status of cooling zone valves is adjusted based on the center point temperature value to control the coiling temperature of the strip, including:

[0068] Compare the calculated center point temperature value with the target winding temperature;

[0069] Based on the comparison results, the opening and closing combinations and opening and closing times of the cooling zone valves are determined to adjust the cooling rate of the strip steel and make the coiling temperature of the strip steel approach the target coiling temperature. Specifically, when the center point temperature is greater than the target coiling temperature, the number of valves opened in the cooling zone is increased or the valve opening time is extended; when the center point temperature is less than the target coiling temperature, the number of valves opened in the cooling zone is reduced or the valve opening time is shortened.

[0070] For example, after obtaining the temperature value at the center point of the strip width, it needs to be compared with the preset target coiling temperature to determine the adjustment strategy for the cooling zone valves. The target coiling temperature is a key parameter of the process requirements, directly affecting the microstructure and mechanical properties of the strip. If the center point temperature is higher than the target temperature, it indicates that the current cooling intensity is insufficient, and the cooling efficiency needs to be improved by increasing the number of valves opened in the cooling zone or extending the valve opening time; conversely, if the center point temperature is lower than the target temperature, the number of valves opened needs to be reduced or the valve opening time shortened to avoid over-cooling. This adjustment process is based on the closed-loop feedback control principle, which ensures that the coiling temperature stably approaches the target value by dynamically balancing the cooling intensity and the rate of change of the strip temperature.

[0071] The regulation of the cooling zone valves relies on the synergistic effect of the pre-cooling ultra-fast cooling (UFC) valves and the laminar flow cooling valves. The pre-cooling ultra-fast cooling valves rapidly reduce the surface temperature of the strip using high-pressure water, creating an initial temperature gradient; the laminar flow cooling valves further regulate the overall temperature using evenly distributed laminar water. For example, when the center point temperature is higher than the target value, the system prioritizes opening the pre-cooling ultra-fast cooling valves, utilizing their high cooling rate to quickly reduce the temperature; simultaneously, the number of laminar flow cooling valves opened is gradually increased to maintain temperature uniformity. If the temperature is still too high, the duration of all open valves is extended to ensure sufficient cooling water flow. Conversely, if the temperature is too low, the system first closes some pre-cooling ultra-fast cooling valves to reduce the risk of localized overcooling, while shortening the opening time of the laminar flow cooling valves to prevent excessive drop in the overall strip temperature. This phased, zoned regulation method ensures cooling efficiency while avoiding temperature fluctuations caused by frequent valve opening and closing.

[0072] In practical applications, the adjustment of cooling zone valves needs to be dynamically optimized in conjunction with the strip running speed and the layout of cooling equipment. For example, during high-speed rolling, the strip spends less time in the cooling zone, requiring compensation for insufficient cooling time by increasing valve response speed (e.g., shortening opening and closing delay) and increasing the number of valves opened. Conversely, under low-speed conditions, precise temperature control can be achieved by extending the valve opening time. Furthermore, valve adjustment must consider the temperature uniformity along the strip width. If a scanning pyrometer detects a significant temperature difference on both sides of the width, the system can adjust the opening and closing status of the corresponding cooling valves to balance the temperature distribution. Through these strategies, real-time feedback control based on the center point temperature value not only solves the control deviation caused by measurement distortion in traditional point-type pyrometers but also effectively addresses complex conditions such as poor strip shape and surface scale, ultimately achieving high-precision control of coiling temperature and improving product quality and production efficiency.

[0073] In some implementations, it also includes:

[0074] When the temperature at the center point is greater than the first preset temperature range; or,

[0075] If the temperature at the center point is less than the second preset temperature range, the strip is marked as an unqualified coil. The first preset temperature range is the target coiling temperature plus a first preset temperature, and the second preset temperature range is the target coiling temperature minus a first preset temperature.

[0076] For example, in the production of hot-rolled strip steel, the target coiling temperature is a key factor determining product quality. The precision of strip steel coiling temperature control is directly related to the microstructure of the product. When the coiling temperature is too high or too low, it will change the internal crystal structure and microstructure distribution of the strip steel. For example, too high a temperature may lead to coarse grains, reducing the strength and toughness of the strip steel; too low a temperature may cause residual stress inside the strip steel, affecting its processing performance and stability during use. These changes in microstructure will further significantly affect the mechanical properties of the strip steel, such as tensile strength, yield strength, and hardness, as well as its performance characteristics, such as formability in subsequent processing and corrosion resistance in practical applications. Therefore, strictly controlling the coiling temperature within a reasonable range is crucial for ensuring strip steel quality, which is the fundamental reason for setting target coiling temperatures and corresponding quality control standards.

[0077] In actual production, to ensure product quality, the production line uses a quality monitoring and judgment software system to monitor various quality indicators of each coil of steel in real time, with coiling temperature being one of the key monitored indicators. Here, the concepts of a first preset temperature range and a second preset temperature range are introduced, which are obtained by adding or subtracting the first preset temperature from the target coiling temperature, respectively. When the center point temperature value exceeds these preset ranges, it indicates that the coiling temperature of the strip steel has experienced abnormal fluctuations.

[0078] Once the center point temperature exceeds the first preset temperature range or falls below the second preset temperature range, the software system automatically marks the strip steel as a non-conforming coil. This marking operation is crucial, as it triggers subsequent quality control processes. Strip steel marked as non-conforming will then undergo processing such as cutting. In this way, potentially defective strip steel can be promptly separated from the qualified product stream, preventing it from entering subsequent processing stages or the market. This not only reduces the risk of product quality incidents due to the use of non-conforming strip steel but also effectively controls production costs, avoiding excessive resource allocation to non-conforming products in subsequent processing, thereby ensuring the efficiency of the entire production process and the stability of product quality.

[0079] It should be noted that in this embodiment, the first preset temperature is +30 / 20℃ and the second preset temperature is -30 / 20℃. In actual hot-rolled strip steel production, there is a distinction between 30℃ and 20℃ in the coiling temperature quality control standard. Different materials of strip steel have different sensitivities to temperature. Ordinary carbon steel strip steel allows for a large fluctuation range, while special alloy strip steel requires stricter control. Different product applications also vary. General-purpose products can accept larger temperature fluctuations, while products used in the automotive, aerospace, and other fields have higher requirements. The maturity and control precision of the production process also differ. When the process is advanced and the control is precise, a stricter 20℃ standard can be adopted, while the standard can be relaxed to 30℃ if the process is limited.

[0080] In some instances, to ensure high precision in temperature and performance control of hot-rolled strip steel, modern hot-rolling production lines are typically equipped with basic automation and process automation control systems. The process automation control system performs pre-calculation and real-time calculations using a configured process model, issuing specific control commands. These commands are executed by the basic automation system to achieve precise control of the production process. To further improve control accuracy, pyrometers and other detection devices are installed at key physical locations to measure and collect the actual temperature data of the strip steel in real time. This data is then sent to the process control model to correct deviations in the model's calculations, thereby ensuring the accuracy of strip steel temperature control.

[0081] A cross-sectional scanning pyrometer is installed at the coiler inlet, performing high-resolution temperature scans along the strip width at frequencies ranging from 10Hz to 150Hz, with each scan line capable of collecting over 1000 temperature points. This raw temperature data is encapsulated into messages via TCP / IP protocol, undergoing four sequential steps: data acquisition, message generation, transmission, and model reception and processing. First, the pyrometer acquires temperature data in real time; then, this data is encapsulated into a standardized message format; next, it is transmitted to the process control model via the network; finally, the process control model receives and parses this data, using normalization and polynomial fitting methods to calculate the temperature value at the center point of the strip width. This process ensures accurate and reliable temperature information even under complex operating conditions (such as poor strip shape or surface scale).

[0082] Based on the calculated center point temperature value, the process control model further adjusts the opening and closing states of the cooling zone valves to precisely control the strip coiling temperature. This closed-loop feedback control mechanism not only improves the accuracy of temperature control but also reduces quality problems caused by temperature fluctuations, ensuring that the microstructure and mechanical properties of the strip meet the expected standards. Throughout the entire process, from data acquisition to the execution of final control commands, it is achieved through a highly integrated basic automation and process automation control system, ensuring high production efficiency and stability.

[0083] The technical solution of this application will be further described in detail below through specific embodiments. For example... Figure 2 and Figure 3 The diagram shown is a comparison of the scanning pyrometer and the point pyrometer in this embodiment.

[0084] like Figure 2 The image shows a comparison of measurements using a scanning 8-channel pyrometer and a PY13 point-type pyrometer. The eight channels of the scanning pyrometer are all positioned in the central region, between 47% and 53% of the strip width, to measure the temperature in that area. Figure 2 As can be seen, channels 7 and 8 on the DS (strip drive side) side showed normal temperature readings without any sudden temperature drops. This indicates that the temperatures detected by these two channels within the measurement area are stable and can accurately reflect the actual temperature at the corresponding location in the strip's central region. However, channel 6 experienced a temperature drop of approximately 10 to 15°C, while the PY13 point pyrometer and five other channels experienced temperature drops of approximately 20 to 25°C. This sudden temperature drop refers to a significant decrease in temperature within a short period. This relatively large temperature drop observed in the PY13 point pyrometer indicates that its measurement results are significantly affected by certain factors, resulting in poor reliability. Because in actual production, the strip temperature does not change so drastically in a localized area, it is insufficient to represent the true actual temperature of the strip. The different temperature changes across different channels of the scanning pyrometer reflect its ability to capture the temperature distribution in the central region of the strip's width direction with greater detail.

[0085] It should be noted that the channels are different measurement units or circuits of a scanning pyrometer. Each channel can independently acquire temperature data at a specific location on the strip, just like multiple independent data acquisition lines.

[0086] like Figure 3 As shown, this figure also compares the measurements taken by a scanning pyrometer and a PY13 point pyrometer. From Figure 3It can be seen that PY13 and channel 6 experienced a temperature drop of approximately 40℃. Such a large temperature change is inconsistent with the normal temperature variation pattern of strip steel, further illustrating the instability and unreliability of the PY13 point-type pyrometer. Channels 4 and 5 showed virtually no temperature drop issues, while channels 1, 2, 3, 7, and 8 experienced temperature drops of approximately 10 to 15℃. This indicates that the temperature changes measured by different channels of the scanning pyrometer vary, demonstrating its advantage of multi-channel measurement, which can reflect the temperature status of the strip steel's central region from different angles. Through comparison, it can be found that compared to the PY13 point-type pyrometer, the scanning pyrometer provides richer and more accurate temperature information when measuring the temperature of the strip steel's central region, better reflecting the true temperature distribution of the strip steel, thus providing more reliable data support for the precise control of the hot-rolled strip steel coiling temperature.

[0087] Please see Figure 4 The diagram below illustrates a control device for the coiling temperature of hot-rolled strip steel, as provided in this embodiment of the application. The device includes:

[0088] Width temperature acquisition unit 21 is used to acquire temperature data in the width direction of the strip.

[0089] The center temperature calculation unit 22 is used to normalize and perform polynomial fitting on the temperature data to calculate the center point temperature value of the strip width.

[0090] The coiling temperature control unit 23 is used to adjust the opening and closing state of the cooling zone valve based on the center point temperature value in order to control the coiling temperature of the strip.

[0091] Please see Figure 5 This application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, it implements any of the steps of a method for controlling the coiling temperature of hot-rolled strip steel.

[0092] Since the electronic device described in this embodiment is the device used to implement the hot-rolled strip coiling temperature control device in the embodiment of this application, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in the embodiment of this application. Therefore, how the electronic device implements the method in the embodiment of this application will not be described in detail here. Any device used by those skilled in the art to implement the method in the embodiment of this application is within the scope of protection of this application.

[0093] In practice, when the computer program 311 is executed by the processor, it can implement any of the embodiments corresponding to the first aspect.

[0094] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0095] Those skilled in the art will understand that embodiments of this application can provide methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-readable program code.

[0096] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0097] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0098] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0099] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to perform... Figure 1The flowchart of a method for controlling the coiling temperature of hot-rolled strip steel in a corresponding embodiment.

[0100] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0101] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0102] In the several embodiments provided in this application, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0103] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0104] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0105] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0106] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

[0107] Although preferred embodiments have been described in this specification, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this specification.

[0108] Obviously, those skilled in the art can make various modifications and variations to this specification without departing from its spirit and scope. Therefore, if such modifications and variations fall within the scope of the claims and their equivalents, this specification is also intended to include such modifications and variations.

Claims

1. A method for controlling the coiling temperature of hot-rolled strip steel, characterized in that, The method includes: Obtain temperature data in the width direction of the strip, including: The cross-section scanning pyrometer is used to scan the strip width direction to obtain the temperature data. The cross-section scanning pyrometer is set at the coiler inlet. The scanning frequency of the cross-section scanning pyrometer is 10Hz to 150Hz, the step size is a preset amplitude, and the number of sampling points for each scanning line is greater than or equal to 1000. The temperature data is normalized and subjected to polynomial fitting to calculate the center point temperature value of the strip width, including: The acquired temperature data in the width direction of the strip is normalized according to the horizontal axis. The normalized temperature data were fitted using a polynomial to obtain the fitting results; Based on the fitting results, the center point temperature value of the strip width is determined, wherein the constant term in the polynomial is the center point temperature value; Based on the center point temperature value, the opening and closing state of the cooling zone valves is adjusted to control the coiling temperature of the strip steel.

2. The method according to claim 1, characterized in that, The normalization process for the temperature data is determined based on the following formula, expressed as: in, For the first part along the width direction The x-coordinates of the points , For strip width, The normalized x-axis, .

3. The method according to claim 2, characterized in that, The polynomial fitting is determined based on the following formula, expressed as: in, The normalized x-axis The corresponding actual measured temperature value, This refers to the temperature value at the center point of the strip width. The fitting coefficients are denoted as .

4. The method according to claim 1, characterized in that, The step of adjusting the opening and closing state of the cooling zone valves based on the center point temperature value to control the strip coiling temperature includes: The calculated center point temperature value is compared with the target winding temperature. Based on the comparison results, the opening and closing combinations and opening and closing durations of the cooling zone valves are determined to adjust the cooling rate of the strip steel, so that the coiling temperature of the strip steel approaches the target coiling temperature. Specifically, if the center point temperature value is greater than the target coiling temperature, the number of valves opened in the cooling zone is increased or the valve opening duration is extended; if the center point temperature value is less than the target coiling temperature, the number of valves opened in the cooling zone is reduced or the valve opening duration is shortened.

5. The method according to claim 4, characterized in that, Also includes: When the temperature value at the center point is greater than the first preset temperature range; or, If the temperature value at the center point is less than the second preset temperature range, the strip is marked as an unqualified coil. The first preset temperature range is the target coiling temperature plus a first preset temperature, and the second preset temperature range is the target coiling temperature minus a first preset temperature.

6. A device for controlling the coiling temperature of hot-rolled strip steel, characterized in that, include: A width temperature acquisition unit is used to acquire temperature data in the width direction of the strip, including: The cross-section scanning pyrometer is used to scan the strip width direction to obtain the temperature data. The cross-section scanning pyrometer is set at the coiler inlet. The scanning frequency of the cross-section scanning pyrometer is 10Hz to 150Hz, the step size is a preset amplitude, and the number of sampling points for each scanning line is greater than or equal to 1000. The center temperature calculation unit is used to normalize and perform polynomial fitting on the temperature data to calculate the center point temperature value of the strip width, including: The acquired temperature data in the width direction of the strip is normalized according to the horizontal axis. The normalized temperature data were fitted using a polynomial to obtain the fitting results; Based on the fitting results, the center point temperature value of the strip width is determined, wherein the constant term in the polynomial is the center point temperature value; The coiling temperature control unit is used to adjust the opening and closing state of the cooling zone valve based on the center point temperature value in order to control the coiling temperature of the strip.

7. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program stored in the memory, implements the steps of the method for controlling the coiling temperature of hot-rolled strip as described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the method for controlling the coiling temperature of hot-rolled strip steel as described in any one of claims 1 to 5.

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