Method for controlling coiling temperature of hot-rolled strip steel and related equipment

Abstract

The invention discloses a hot-rolled strip steel coiling temperature control method and related equipment, and relates to the technical field of hot rolling. The method comprises the steps that temperature data of strip steel in the width direction is obtained; performing normalization and polynomial fitting on the temperature data, and calculating a central point temperature value of the strip steel width; and on the basis of the central point temperature value, the opening and closing state of a cooling area valve is adjusted so as to control the coiling temperature of the strip steel. The actual temperature condition of the strip steel can be reflected more accurately, and the problem that a traditional point type pyrometer is prone to being affected by plate shape and surface problems to cause distortion is effectively solved, so that the mechanical property and the structure property of the strip steel are improved, and the product quality is guaranteed.

Description

Technical Field

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

[0002] In the production process of hot-rolled strip, coiling temperature is one of the key parameters that affect the mechanical properties and organizational properties of the product. The traditional coiling temperature control method usually uses a point pyrometer to measure the center point temperature of the strip, and uses this as a feedback signal to adjust the opening and closing state of the cooling zone valve. However, when the strip has problems such as poor plate shape (such as wave shape, deviation) or surface iron scale, the temperature value measured by the point pyrometer is often distorted, resulting in the control system being unable to accurately adjust the cooling intensity, which in turn causes quality problems such as coiling temperature fluctuations and unqualified performance. Therefore, a method for controlling the coiling temperature of hot-rolled strip is urgently needed to solve the problem of control inaccuracy caused by measurement distortion in the prior art. Summary of the invention

[0003] A series of simplified concepts are introduced in the Summary of the Invention section, which will be further described in detail in the Detailed Description of the Invention section. The Summary of the Invention section of this application does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

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

[0005] Obtain temperature data along the width of the strip;

[0006] Normalize and polynomially fit the temperature data to calculate the center temperature value of the strip width;

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

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

[0009] A cross-sectional scanning pyrometer is used to scan the width direction of the strip to obtain temperature data, wherein the cross-sectional scanning pyrometer is set at the entrance of the coiler, 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 embodiments, normalizing and polynomial fitting the temperature data to calculate the center point temperature value of the strip width includes:

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

[0012] The normalized temperature data is fitted using a polynomial to obtain a fitting result;

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

[0014] In some embodiments, the temperature data is normalized based on the following formula:

[0015]

[0016] Among them, x i is the horizontal coordinate of the i-th point along the width direction, 0≤xi≤w, w is the strip width, x′ i is the normalized horizontal coordinate, -1≤x′ i ≤1.

[0017] In some embodiments, the polynomial fit is determined based on the following formula, represented by:

[0018]

[0019] Among them, t(x′ i ) is the normalized horizontal coordinate x′ i The corresponding actual measured temperature value, k0 is the temperature value at the center of the strip width, k1, k2, ....k n is the fitting coefficient.

[0020] In some embodiments, based on the center point temperature value, adjusting the opening and closing state of the cooling zone valve to control the coiling temperature of the strip steel includes:

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

[0022] Based on the comparison results, the opening and closing combination and opening and closing time of the cooling zone valves are determined to adjust the cooling speed of the strip so that the coiling temperature of the strip approaches the target coiling temperature. When the center point temperature value is greater than the target coiling temperature, the number of open valves in the cooling zone is increased or the valve opening time is extended; when the center point temperature value is less than the target coiling temperature, the number of open valves in the cooling zone is reduced or the valve opening time is shortened.

[0023] In some embodiments, it further comprises:

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

[0025] When the center point temperature value is less than the second preset temperature range, the strip is marked as an unqualified coil, wherein the first preset temperature range is the target coiling temperature plus the first preset temperature, and the second preset temperature range is the target coiling temperature minus the first preset temperature.

[0026] In a second aspect, the present application proposes a device for controlling the coiling temperature of a hot-rolled strip, comprising:

[0027] Width temperature acquisition unit, used to obtain temperature data in the width direction of the strip;

[0028] The center temperature calculation unit is used to normalize and fit the temperature data into a polynomial and calculate the center temperature value of the strip width;

[0029] 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 to control the coiling temperature of the strip.

[0030] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the method for controlling the coiling temperature of a hot-rolled strip according to any one of the first aspects when executing the computer program stored in the memory.

[0031] In a fourth aspect, the present application further proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for controlling the coiling temperature of a hot-rolled strip according to any one of the first aspects.

[0032] In summary, this application introduces a cross-sectional scanning pyrometer to obtain the temperature distribution data in the width direction of the strip, and combines normalization processing and polynomial fitting methods to accurately calculate the temperature value of the center point of the strip width, replacing the measurement results of the traditional point pyrometer. It effectively solves the problem of temperature measurement distortion caused by poor plate shape or surface iron sheet. At the same time, the precise adjustment of the opening and closing state of the cooling zone valve based on the center point temperature value can effectively control the coiling temperature of the strip, thereby improving the temperature control accuracy of the strip, reducing the 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 proposed in this application, and other advantages, objectives and features of this application will be partially reflected through the following description, and will also be partially understood by technical personnel in this field through research and practice of this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0035] Figure 1 A schematic flow chart of a method for controlling the coiling temperature of a hot-rolled strip provided in an embodiment of the present application;

[0036] Figure 2 A first schematic diagram of the comparison results between the scanning pyrometer and the point pyrometer provided in the embodiment of the present application;

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

[0038] Figure 4 A schematic diagram of a hot-rolled strip coiling temperature control device provided in an embodiment of the present application;

[0039] Figure 5 A schematic diagram of the structure of an electronic device for controlling the coiling temperature of a hot-rolled strip provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0041] See also Figure 1 , is a schematic flow chart of a method for controlling the coiling temperature of a hot-rolled strip provided in an embodiment of the present application, which may specifically include:

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

[0043] For example, in the production process of hot-rolled steel strip, obtaining temperature data in the width direction of the steel strip is the basis for coiling temperature control. Traditional point pyrometers can only measure the temperature at the center point of the steel strip, and cannot reflect the temperature distribution difference in the width direction. Especially when the steel strip has problems such as poor plate shape or surface iron scale, the measurement results are easily distorted. To solve this problem, the present application uses a cross-sectional scanning pyrometer to scan and measure the width direction of the steel strip. This high-precision temperature data acquisition method provides high-quality input data for subsequent normalization processing and polynomial fitting.

[0044] S120, normalizing and polynomial fitting the temperature data to calculate the center point temperature value of the strip width;

[0045] For example, the temperature data in the width direction of the strip is first normalized, and the temperature data is standardized according to the width of the strip to eliminate the influence of position differences and ensure data consistency. Then, the normalized temperature data is modeled using polynomial fitting to obtain the temperature distribution in the width direction of the strip, and the temperature value of the center point of the strip width is calculated by fitting. This processing method can accurately calculate the center point temperature, avoid measurement distortion caused by local temperature anomalies, provide accurate data support for subsequent temperature control, and ensure that the coiling temperature of the strip is stable and meets the target requirements.

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

[0047] For example, in the production of hot-rolled strip steel, the coiling temperature plays a key role in the mechanical and structural properties of the strip steel. The principle on which step S130 is based is to change the cooling rate of the strip steel by adjusting the opening and closing state of the valve in the cooling zone, thereby accurately controlling the coiling temperature. After obtaining the temperature value of the center point of the strip steel width, it is compared with the preset target coiling temperature. This comparison result is an important basis for determining how to adjust the valve.

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

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

[0050] A cross-sectional scanning pyrometer is used to scan the width direction of the strip to obtain temperature data, wherein the cross-sectional scanning pyrometer is set at the entrance of the coiler, 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, the cross-sectional scanning pyrometer uses non-contact infrared temperature measurement technology to quickly scan along the width of the strip and obtain high-precision temperature distribution data in real time. The device is installed at the entrance of the coiler, and its scanning frequency can be adjusted from 10Hz to 150Hz, and each scanning line can collect more than 1000 temperature points. This design can adapt to the needs of different production speeds: low-frequency scanning is used under low-speed conditions to reduce data redundancy, and the scanning frequency is increased during high-speed rolling to ensure the real-time and integrity of the temperature data. The high number of sampling points (≥1000 points) of each scanning line covers the entire width of the strip, providing a high-resolution temperature distribution curve, thereby accurately capturing the temperature gradient changes from the edge to the center of the strip.

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

[0053] In practical applications, the advantage of cross-sectional scanning pyrometers lies in their adaptability to abnormal working conditions. When the strip has poor plate shapes such as single-sided waves and middle waves, its surface in the width direction may fluctuate or shift. Traditional point pyrometers cannot accurately capture the true temperature due to fixed measurement positions. Scanning pyrometers can effectively filter out edge interference and ensure the representativeness of the center point temperature by dynamically covering the central area of ​​47%-53% of the strip width. In addition, its high-speed detector (response time ≤1.0μs) avoids the data lag problem of traditional ms-level detectors, making the temperature data highly synchronized with the actual state of the strip, providing a reliable data basis for subsequent temperature fitting, real-time control and quality judgment.

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

[0055] The temperature data obtained in the width direction of the strip is normalized according to the horizontal axis. The normalization is determined based on the following formula and is expressed as:

[0056]

[0057] Among them, x i is the horizontal coordinate of the i-th point along the width direction, 0≤x i ≤w, w is the strip width, x′ i is the normalized horizontal coordinate, -1≤x′ i ≤1.

[0058] The normalized temperature data is fitted using a polynomial to obtain a fitting result;

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

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

[0061]

[0062] Among them, t(x′ i ) is the normalized horizontal coordinate x′ i The corresponding actual measured temperature value, k0 is the temperature value at the center of the strip width, k1, k2, ....k n is the fitting coefficient.

[0063] For example, in the production process of hot-rolled steel strip, after obtaining the temperature data in the width direction of the steel strip, it is necessary to first perform normalization. Due to the difference in the width of the steel strip, the physical positions represented by the horizontal coordinates of the measurement points of different steel strips are different. If the original horizontal coordinate data is directly used to process the temperature data, the data benchmark will be inconsistent and effective unified analysis cannot be performed. The normalization formula used in this application converts the horizontal coordinate x of each measurement point in the width direction of the steel strip into a normalized value. i , according to the actual width w of the strip, the normalized horizontal coordinate x′ is obtained i The advantage of this is that no matter what the actual width of the strip is, after normalization, all position information in the width direction of the strip is mapped to the range of -1 to 1, so that the temperature data of different strips can be subsequently analyzed under the same standard, eliminating the impact of strip width differences on the calculation, and laying the foundation for more accurate analysis of temperature distribution laws.

[0064] After normalization, a polynomial is needed to fit these data. Because the temperature data actually measured are discrete points, it is difficult to intuitively determine the temperature value at the center of the strip width. Polynomial fitting can use a mathematical expression to approximately describe the temperature change trend presented by these discrete points. Through the above polynomial formula, mathematical methods such as the least squares method are used to calculate the appropriate fitting coefficients. When these coefficients are determined, a polynomial function that can better approximate the actual temperature data distribution is obtained. This function is like a smooth curve that connects those discrete temperature data points, so that the continuous change of temperature in the width direction of the strip can be more clearly shown, and it also provides a powerful tool for accurately calculating the center point temperature value.

[0065] Finally, the temperature value of the center point of the strip width is determined based on the result of the polynomial fitting. In the obtained fitting polynomial, the center point of the strip width corresponds to a specific normalized horizontal coordinate value (the normalized horizontal coordinate of the center position of the strip width is set to 0). Substituting this specific horizontal coordinate value into the fitting polynomial, the result obtained after calculation is the temperature value of the center point of the strip width. This temperature value comprehensively considers the temperature information of each measuring point in the width direction of the strip. Compared with the temperature value simply measured by a point pyrometer in the traditional method, it more accurately and comprehensively reflects the true center temperature condition of the strip. In the subsequent production process, this accurate center point temperature value is used to accurately control the opening and closing state of the cooling zone valve to ensure that the coiling temperature of the strip meets the predetermined process requirements, thereby ensuring the quality of the strip product and meeting the needs of industrial production.

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

[0067] In some examples, based on the center point temperature value, the opening and closing state of the valve in the cooling zone is adjusted to control the coiling temperature of the strip, including:

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

[0069] Based on the comparison results, the opening and closing combination and opening and closing time of the cooling zone valves are determined to adjust the cooling speed of the strip so that the coiling temperature of the strip approaches the target coiling temperature. When the center point temperature value is greater than the target coiling temperature, the number of open valves in the cooling zone is increased or the valve opening time is extended; when the center point temperature value is less than the target coiling temperature, the number of open valves in the cooling zone is reduced or the valve opening time is shortened.

[0070] For example, after obtaining the temperature value of the center point of the strip width, it is necessary to compare it with the preset target coiling temperature to determine the adjustment strategy of the cooling zone valve. The target coiling temperature is a key parameter of the process requirements and directly affects the microstructure and mechanical properties of the strip. If the center point temperature value 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 open valves in the cooling zone or extending the valve opening time; conversely, if the center point temperature value is lower than the target temperature, it is necessary to reduce the number of open valves or shorten the valve opening time to avoid excessive cooling. This adjustment process is based on the principle of closed-loop feedback control, which ensures that the coiling temperature is stable and close to the target value by dynamically balancing the cooling intensity and the rate of change of strip temperature.

[0071] The adjustment of the cooling zone valves specifically relies on the synergy of the front ultra-fast cooling (UFC) valves and laminar cooling valves. The front ultra-fast cooling valves use high-pressure water to quickly reduce the surface temperature of the strip to form a preliminary temperature gradient; the laminar cooling valves further adjust the overall temperature through evenly distributed laminar water. For example, when the center point temperature is higher than the target value, the system will give priority to opening the front ultra-fast cooling valves, using their high cooling rate to quickly reduce the temperature; at the same time, the number of laminar cooling valves opened will be gradually increased to maintain temperature uniformity. If the temperature is still too high, the duration of all open valves will be extended to ensure sufficient cooling water. On the contrary, if the temperature is too low, the system will first close some of the front ultra-fast cooling valves to reduce the risk of local overcooling, and at the same time shorten the opening time of the laminar cooling valves to avoid excessive drop in the overall temperature of the strip. This staged and regional adjustment method not only ensures cooling efficiency, but also avoids temperature fluctuations caused by frequent valve switching.

[0072] In practical applications, the adjustment of the cooling zone valves needs to be dynamically optimized in combination with the strip running speed and the layout of the cooling equipment. For example, during high-speed rolling, the strip passes through the cooling zone for a short time, and the insufficient cooling time needs to be compensated by increasing the valve response speed (such as shortening the opening and closing delay) and increasing the number of openings; while under low-speed conditions, precise temperature control can be achieved by extending the valve opening time. In addition, valve adjustment needs to consider the temperature uniformity in the width direction of the strip. If the scanning pyrometer detects a large temperature difference on both sides of the width, the system can adjust the opening and closing state of the cooling valve in the corresponding area in a targeted manner to balance the temperature distribution. Through the above strategy, real-time feedback control based on the center point temperature value can not only solve the control deviation caused by measurement distortion of traditional point pyrometers, but also effectively deal with complex working conditions such as poor plate shape and surface iron sheet, and ultimately achieve high-precision control of the coiling temperature, improving product quality and production efficiency.

[0073] In some embodiments, it further comprises:

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

[0075] When the center point temperature value is less than the second preset temperature range, the strip is marked as an unqualified coil, wherein the first preset temperature range is the target coiling temperature plus the first preset temperature, and the second preset temperature range is the target coiling temperature minus the first preset temperature.

[0076] For example, in the production process of hot-rolled strip steel, the target coiling temperature is a key factor in determining product quality. The coiling temperature control accuracy of the strip steel is directly related to the microstructure morphology of the product. When the coiling temperature is too high or too low, the crystal structure and tissue distribution inside the strip steel will change. For example, too high a temperature may cause coarse grains and reduce 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 have a significant impact on the mechanical properties of the strip steel, such as tensile strength, yield strength, hardness, etc., as well as its performance, such as formability in subsequent processing and corrosion resistance in practical applications. Therefore, strictly controlling the coiling temperature within a reasonable range is crucial to ensuring the quality of the strip steel, which is also the fundamental reason for setting the target coiling temperature and the corresponding quality control standards.

[0077] In actual production, in order to ensure product quality, the production line uses a quality monitoring and judgment software system to monitor the quality indicators of each coil of steel in real time, and the coiling temperature is one of the key indicators to be monitored. The concepts of the first preset temperature range and the second preset temperature range are introduced here, which are obtained by increasing or decreasing the first preset temperature based on the target coiling temperature. When the center point temperature value exceeds these preset ranges, it indicates that the coiling temperature of the strip has fluctuated abnormally.

[0078] Once the center point temperature value is greater than the first preset temperature range, or less than the second preset temperature range, the software system will automatically mark the strip as a defective coil. This marking operation is of great significance, as it is the trigger point for the subsequent quality control process. Strips marked as defective coils will be arranged for removal and other treatments. In this way, strips that may have quality problems can be separated from the qualified product flow in a timely manner to prevent them from entering the subsequent processing links or flowing into the market. This not only reduces the risk of product quality accidents that may arise from the use of unqualified strips, but also effectively controls production costs and avoids investing too many resources in defective products in the subsequent processing process, thereby ensuring the efficiency of the entire production process and the stability of product quality.

[0079] It should be noted that in the embodiment of the present application, the first preset temperature is +30 / 20°C, and the second preset temperature is -30 / 20°C. In the actual production of hot-rolled strip steel, the coiling temperature quality control standard is distinguished between 30°C and 20°C. Strip steel of different materials has different temperature sensitivity. Ordinary carbon steel strip steel allows a wide fluctuation range, while special alloy strip steel requires stricter control. The uses of products are different. General-purpose products can accept large temperature fluctuations, while products used in the automotive, aerospace and other fields have higher requirements. The maturity and control accuracy of the production process are different. When the process is advanced and the control is precise, a stricter 20°C standard can be adopted, and when the process is limited, it can be relaxed to 30°C.

[0080] In some instances, in order to ensure high precision in the temperature and performance control of hot-rolled strip, modern hot rolling production lines are usually equipped with basic automation and process automation control systems. Among them, the process automation control system performs pre-calculation and real-time calculation through the configured process model, and issues specific control instructions. These instructions are executed by the basic automation system to achieve precise control of the production process. In order to further improve the control accuracy, pyrometers and other detection equipment are installed at key physical locations to measure and collect the actual temperature data of the strip in real time, and send these data to the process control model to correct the deviations in the model calculation, thereby ensuring the accuracy of the strip temperature control.

[0081] The cross-sectional scanning pyrometer is installed at the entrance of the coiler, and performs high-resolution temperature scanning on the width direction of the strip at a frequency of 10Hz to 150Hz. Each scanning line can collect more than 1,000 temperature points. These raw temperature data are encapsulated into message form through the TCP / IP protocol, and go through four steps of data acquisition, message generation, transmission and model reception processing in sequence. First, the pyrometer collects temperature data in real time; then, these data are encapsulated into a standardized message format; then, they are transmitted to the process control model through the network; finally, the process control model receives and parses these data, and uses normalization and polynomial fitting methods to calculate the temperature value of the center point of the strip width. This process ensures that accurate and reliable temperature information can be obtained even under complex working conditions (such as poor plate shape or surface iron scale).

[0082] Based on the calculated center point temperature value, the process control model further adjusts the opening and closing state of the cooling zone valve to accurately control the coiling temperature of the strip. 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. The entire process, from data acquisition to the execution of the final control instructions, is achieved through a highly integrated basic automation and process automation control system, ensuring the efficiency and stability of production.

[0083] The technical solution of the present application is further described in detail below through specific embodiments. Figure 2 and Figure 3 , which is a schematic diagram of the comparison results between the scanning pyrometer and the point pyrometer of this embodiment.

[0084] like Figure 2 The figure shows the comparison of the measurement between the scanning 8-channel pyrometer and the PY13 spot pyrometer. The 8 channels of the scanning pyrometer are set in the central area of ​​47% to 53% of the strip width to measure the temperature in this area. Figure 2 It can be seen that the temperature of channels 7 and 8 on the DS (transmission side of the strip) side is normal, and there is no temperature drop problem. This shows that in the measurement area, the temperature detected by these two channels is in a stable state, which can more accurately reflect the actual temperature of the corresponding position in the center area of ​​the strip. However, a temperature drop of about 10 to 15°C appeared in channel 6, and a temperature drop of about 20 to 25°C appeared in the PY13 point pyrometer and the other 5 channels. The temperature drop here refers to a significant drop in temperature in a short period of time. This large temperature drop phenomenon of the PY13 point pyrometer indicates that its measurement results are greatly affected by certain factors and have poor reliability. Because in actual production, the temperature of the strip will not change so much in a local area instantly, so it is not enough to represent the actual temperature of the strip. The temperature changes of different channels of the scanning pyrometer are different, which also reflects that it can capture the temperature distribution of the central area in the width direction of the strip more carefully.

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

[0086] like Figure 3 As shown in the figure, this figure also compares the measurements of the scanning pyrometer and the PY13 point pyrometer. Figure 3It can be seen that PY13 and channel 6 experienced a sudden temperature drop of about 40°C. This large temperature change is not in line with the temperature change law of the strip under normal circumstances, which further illustrates the instability and unreliability of the PY13 point pyrometer measurement. Channels 4 and 5 basically have no temperature drop problem, while channels 1, 2, 3, 7, and 8 have a temperature drop of about 10 to 15°C. This shows that there are differences in the temperature changes measured by different channels of the scanning pyrometer, reflecting its advantages of multi-channel measurement, which can reflect the temperature conditions in the center area of ​​the strip from different angles. By comparison, it can be found that compared with the PY13 point pyrometer, the scanning pyrometer can provide richer and more accurate temperature information when measuring the temperature in the center area of ​​the strip, and can better reflect the actual temperature distribution of the strip, thereby providing more reliable data support for the precise control of the coiling temperature of the hot-rolled strip.

[0087] See also Figure 4 , is a schematic structural diagram of a hot-rolled strip coiling temperature control device provided in an embodiment of the present application, comprising:

[0088] The width temperature acquisition unit 21 is used to obtain the temperature data of the strip in the width direction;

[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 to control the coiling temperature of the strip.

[0091] See also Figure 5 The embodiment of the present 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, the steps of any method of the device for controlling the coiling temperature of hot-rolled strip are implemented.

[0092] Since the electronic device introduced in this embodiment is a device used to implement a hot-rolled strip coiling temperature control device in the embodiment of the present application, based on the method introduced in the embodiment of the present application, the technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by the technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0093] During the specific implementation process, when the computer program 311 is executed by a processor, any implementation method in the embodiments corresponding to the first aspect can be implemented.

[0094] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0095] Those skilled in the art will appreciate that the embodiments of the present application may provide methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented 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] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0097] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0098] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0099] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes Figure 1A process of a method for controlling the coiling temperature of a hot-rolled strip in a corresponding embodiment.

[0100] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. 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 computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, 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 includes one or more available media integrated. Available media may be magnetic media, (e.g., floppy disk, hard disk, tape), optical media (e.g., DVD), or semiconductor media (e.g., solid state disk (SSD)), etc.

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

[0102] In the several embodiments provided in the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

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

[0104] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0105] If the integrated unit is implemented in the form of 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 the present application is essentially 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, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0106] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

[0107] Although the preferred embodiments of this specification have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of this specification.

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

Claims

1. A method for controlling the coiling temperature of a hot-rolled strip, characterized in that: The method comprises: Obtain temperature data along the width of the strip; Normalizing and polynomial fitting the temperature data to calculate the center point temperature value of the strip width; Based on the center point temperature value, the opening and closing state of the cooling zone valve is adjusted to control the coiling temperature of the strip.

2. The method according to claim 1, characterized in that The specific steps of acquiring the temperature data in the width direction of the strip steel include: A cross-sectional scanning pyrometer is used to scan the width direction of the strip to obtain the temperature data, wherein the cross-sectional scanning pyrometer is arranged at the entrance of the coiler, the scanning frequency of the cross-sectional scanning pyrometer is 10 Hz to 150 Hz, the step size is a preset amplitude, and the number of sampling points of each scanning line is greater than or equal to 1000.

3. The method according to claim 1, characterized in that The step of normalizing and polynomial fitting the temperature data to calculate the center point temperature value of the strip width includes: Normalizing the acquired temperature data in the width direction of the strip according to the horizontal axis; The normalized temperature data is fitted using a polynomial to obtain a fitting result; Based on the fitting result, the temperature value of the center point of the strip width is determined.

4. The method according to claim 3, characterized in that The normalization process for the temperature data is determined based on the following formula, which is expressed as: Among them, x i is the horizontal coordinate of the i-th point along the width direction, 0≤x i ≤w, w is the strip width, x′ i is the normalized horizontal coordinate, -1≤x′ i ≤1.

5. The method according to claim 4, characterized in that The polynomial fitting is determined based on the following formula, expressed as: t(x′ i )=k0+k1x′ i +k2x′ i 2 +...+k n x′ i n Among them, t(x′ i ) is the normalized horizontal coordinate x′ i The corresponding actual measured temperature value, k0 is the temperature value at the center of the strip width, k1, k2, ....k n is the fitting coefficient.

6. The method according to claim 1, characterized in that The step of adjusting the opening and closing state of the valve in the cooling zone based on the center point temperature value to control the coiling temperature of the strip steel comprises: comparing the calculated center point temperature value with the target coiling temperature; Based on the comparison results, the opening and closing combination and opening and closing time of the cooling zone valves are determined to adjust the cooling speed of the strip so that the coiling temperature of the strip approaches the target coiling temperature. When the center point temperature value is greater than the target coiling temperature, the number of open valves in the cooling zone is increased or the valve opening time is extended; when the center point temperature value is less than the target coiling temperature, the number of open valves in the cooling zone is reduced or the valve opening time is shortened.

7. The method according to claim 6, characterized in that Also includes: When the center point temperature value is greater than a first preset temperature range; or, When the center point temperature value is less than a second preset temperature range, the strip is marked as an unqualified coil, wherein 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.

8. A device for controlling the coiling temperature of hot rolled strip, characterized in that: include: Width temperature acquisition unit, used to obtain temperature data in the width direction of the strip; A center temperature calculation unit, used for normalizing and polynomial fitting the temperature data to calculate the center point temperature value of the strip width; 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 to control the coiling temperature of the strip.

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

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for controlling the coiling temperature of a hot-rolled steel strip according to any one of claims 1 to 7 is implemented.

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