A method for arranging thermocouples on a crystallizer copper plate

By arranging thermocouples in a rectangular grid on the copper plate of the crystallizer and using Lagrange interpolation to draw temperature cloud maps, the problems of unreasonable measurement point arrangement and complex data processing in the existing technology are solved, and real-time visualization and efficient monitoring of the temperature of the copper plate of the crystallizer are realized.

CN116773032BActive Publication Date: 2026-06-30SHANGHAI MEISHAN IRON & STEEL CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI MEISHAN IRON & STEEL CO LTD
Filing Date
2022-03-07
Publication Date
2026-06-30

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Abstract

This invention relates to a method for arranging thermocouples on a crystallizer copper plate. The method includes the following steps: Step 1, arranging thermocouples within the crystallizer copper plate in a specific manner; Step 2, collecting and storing temperature data from all thermocouples within the crystallizer copper plate; Step 3, processing the thermocouple temperature data and drawing temperature contour lines within the area enclosed by the thermocouples; Step 4, filling the area with color according to a pre-set temperature and color mapping relationship to draw a temperature cloud map of the crystallizer copper plate. This arrangement method is reasonably designed, simple in principle, low in temperature measurement cost, and highly reliable in measurement results. It helps to comprehensively and effectively measure the temperature of the crystallizer copper plate and can also detect the temperature distribution and changes of the crystallizer copper plate in real time, improving the efficiency of steel leakage detection.
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Description

Technical Field

[0001] This invention relates to an arrangement method, specifically a method for arranging thermocouples on copper plates in a crystallizer, belonging to the field of metallurgical continuous casting technology. Background Technology

[0002] In continuous casting, the crystallizer, as the core component of the continuous casting machine, directly affects the quality of the cast billet and the production efficiency of the continuous casting machine. Therefore, real-time and effective monitoring of the crystallizer is particularly important in the metallurgical process. Currently, the main method involves arranging thermocouple measuring points on the copper plate of the crystallizer in a specific pattern. By measuring the temperature of the thermocouples and combining this with visualization methods, a thermal image of the entire copper plate of the crystallizer is generated. This image effectively reflects the characteristics of the internal temperature field of the crystallizer under normal and abnormal casting conditions, and is an important means of realizing crystallizer process visualization and assisting in steel leakage prediction technology.

[0003] Online thermal imaging of a crystallizer is a dynamic temperature contour map, requiring a fast and efficient method for its creation. Currently, commonly used methods include contour area filling, scan line filling, and scan pixel filling. Scan line filling and scan pixel filling are similar, both being pixel-based contour map filling methods. In practical applications, contour area filling is generally preferred.

[0004] The basic idea of ​​the contour line filling method is to first draw contour lines, and then fill the area between two adjacent contour lines with a specific color to form a contour map. Drawing contour lines is the key step. The contour line generation process can be divided into three steps: 1. Gridding of discrete data; 2. Contour line search; 3. Contour map display. The principle is as follows: first, the data points are gridded, that is, interpolation is performed based on discrete points to form regular rectangular grid data; then, the contour points on each edge are calculated based on the attribute values ​​of the two endpoints of each edge on the grid; and finally, the contour lines are traced and searched for. The regular rectangular grid method can be used for isopleth generation and rendering. The basic steps of its algorithm are as follows: using the collected discrete data points, a surface model on a regular area that approximates the geographic surface is established. Within the obtained model, the discrete point data is interpolated using an interpolation algorithm to obtain the attribute values ​​of each grid point. This process is the gridding of discrete data, which can form regular rectangular grid data. Then, based on the attribute values ​​of the adjacent points on the edge of each cell in each rectangular grid, the positions of all isopleth points on the edge of each cell are obtained through linear interpolation. Finally, according to the tracking principle of the rectangular grid method, any isopleth point of all isopleth lines is searched out to form a smooth curve.

[0005] The invention application CN201010285828.8, "A method for real-time display of crystallizer thermal images based on the measured temperature of multiple rows of thermocouples," has too many measurement points for the thermocouples and does not consider adding measurement points at the center of the thermocouple grid to improve the accuracy of the measurement, thus failing to guarantee the real-time performance and accuracy of the crystallizer thermal images.

[0006] Invention application CN201410498049.4 describes a "visual analysis method for the temperature field of a continuous casting crystallizer," which uses a fuzzy control method based on neural networks to achieve arbitrary visual temperature monitoring of the internal temperature field of the crystallizer. It establishes a differential temperature field model using data signals collected by a temperature acquisition system, and then analyzes the collected temperature data based on the fuzzy control method of a neural network, performing a visual analysis of the temperature field. However, this method is overly complex due to the need to build the model, and the process is time-consuming, failing to guarantee real-time visualization analysis.

[0007] Patent application CN200910304493.7 describes a method for compensating the cold junction temperature of a thermocouple using a temperature field fitting method. This method only requires measuring the temperature of three points to compensate the temperature of all channels on the plane. However, this method only compensates for the cold junction temperature and does not visualize the temperature.

[0008] CN201710681225.1 discloses a "device for automatically calibrating and verifying the temperature field of a furnace using standard thermocouples." In use, a stepper motor is controlled via a master switch, command buttons on a touchscreen, or software to drive a linear and rotary mechanism, which in turn drives the linear and rotary standard thermocouples. The measured thermoelectric potential is transmitted to a controller, which calculates the temperature at the measuring points inside the furnace and displays the temperature field on the touchscreen until the test, calibration, or verification is complete. However, this method does not specify how the furnace temperature is presented on the touchscreen, making it impossible to guarantee a direct observation of the temperature distribution.

[0009] As can be seen from the above-disclosed technical methods and devices, they mainly involve methods or automatic calibration devices for visualizing the copper plate of the crystallizer. The main points are as follows: (1) The unreasonable arrangement of thermocouple measuring points on the crystallizer leads to a decrease in accuracy; (2) The visualization method is relatively complicated and cannot guarantee real-time performance; (3) The device cannot guarantee that the temperature distribution can be observed intuitively.

[0010] As can be seen from the publicly disclosed technical methods and devices, none of these methods can guarantee the real-time visualization of temperature distribution on the copper plate of the crystallizer, nor can they guarantee the ease of operation and promotion required to meet the needs of different working conditions. It is well known that in the continuous casting process, the crystallizer, as the core component of the continuous casting machine, directly affects the quality of the continuously cast billet and the production efficiency of the continuous casting machine. High-efficiency continuous casting is a systematic and comprehensive technology that uses high casting speed as its core to produce high-quality, defect-free high-temperature billets, achieving high continuous casting rate and high operating rate. It features simple production processes, high metal yield, low energy consumption, good billet quality, multiple varieties, and a high degree of mechanization and automation in the production process. With the development of high-efficiency continuous casting technology, the heat load of the crystallizer has increased significantly, and the probability of steel leakage accidents has increased dramatically. This not only affects the normal production of the continuous casting machine and reduces the operating rate, but also damages the casting equipment. Developing a high-performance, real-time, and effective crystallizer steel leakage prediction system is the most effective means to avoid sticking steel leakage, and is of great significance for ensuring smooth continuous casting production and improving billet quality. Therefore, to meet the above requirements, it is necessary to design a method for arranging thermocouples on the copper plate of the crystallizer and a method for visualizing the temperature field. This method will help to comprehensively and effectively measure the temperature of the copper plate of the crystallizer, and can also detect the temperature distribution and changes of the copper plate of the crystallizer in real time, thereby improving the efficiency of steel leakage detection. Moreover, it is easy to operate and can be promoted in the field of continuous casting process. Summary of the Invention

[0011] This invention addresses the problems existing in the prior art by providing a method for arranging thermocouples on a crystallizer copper plate. This technical solution overcomes the problems of excessive thermocouple measuring points and long data processing time in the prior art, which cannot meet the real-time requirements for temperature measurement of crystallizer copper plate. It proposes a method for arranging thermocouples on a crystallizer copper plate and visualizing the temperature field. This arrangement method is reasonably designed, simple in principle, low in temperature measurement cost, and highly reliable in measurement results. It helps to comprehensively and effectively measure the temperature of the crystallizer copper plate and can also detect the temperature distribution and changes of the crystallizer copper plate in real time, improving the efficiency of steel leakage detection.

[0012] To achieve the above objectives, the technical solution of the present invention is as follows: a method for arranging thermocouples on a copper plate in a crystallizer, the method comprising the following steps:

[0013] Step 1: The thermocouples inside the copper plate of the crystallizer are arranged in a specific manner;

[0014] Step 2: Collect and store the temperature data of all thermocouples inside the copper plate of the crystallizer;

[0015] Step 3: Process the thermocouple temperature data and draw the temperature contour lines within the area enclosed by the thermocouple;

[0016] Step 4: Fill the area with color according to the pre-set temperature and color mapping relationship to draw the temperature cloud map of the copper plate of the crystallizer.

[0017] As an improvement of the present invention, in step 1, all thermocouples are first arranged as vertices in a rectangular grid, and the rectangular grids are numbered sequentially from left to right. Then, a thermocouple is added to the center of each rectangular grid.

[0018] As an improvement of the present invention, in step 2, the temperature of all thermocouples is measured and stored in each detection cycle of thermocouple temperature data.

[0019] As an improvement of the present invention, in step 3, one of the rectangular grids with a specification of 2a×2b is selected on the copper plate of the crystallizer. T1, T2, T3, and T4 represent the temperatures of the thermocouple measuring points at the four vertices 1, 2, 3, and 4 of the rectangular grid at a certain time t0, respectively, and T5 is the temperature of the thermocouple measuring point 5 at the center point of the rectangular grid at time t0.

[0020] Specifically as follows:

[0021] Step 3 includes the following sub-steps:

[0022] Step 31): At time t0, place points 1 and 3 on the copper plate of the crystallizer. Assume T1 is the minimum, and define the temperature at the midpoint A of the line connecting the two measuring points as T. A T A It can be calculated using Lagrange interpolation, and the specific formula (1) is as follows:

[0023]

[0024] Step 32: When the angle θ is deflected by a certain angle, point B is obtained on the line connecting points A and 5, and the temperature T at point B is... B Similarly, the temperature is calculated using Lagrange interpolation. Then, a point C is found on the line connecting measuring point 1 and point B, and its temperature is defined as T. C T C =T A And the specific position of point C on the line connecting points A and C is calculated by Lagrange interpolation, and the contour lines are used to connect points A and C.

[0025] Step 33): Set a ΔT, and find a point D with temperature T between the line connecting 1 and A. D , let T D =T A -ΔT, then find a point E on the line connecting points 1 and C with temperature T. E , let T E =T D T was calculated using Lagrange interpolation.E At the position on the line, place T D With T E Connect the two points using contour lines.

[0026] As an improvement of the present invention, in step 4, the area is filled with color according to a pre-set mapping relationship between temperature and color. Specifically, this involves first calculating T... A With T D average value T p and give T p Set a corresponding color, and set T A T C T E T D Fill the area enclosed by the four points with color, repeating step 33) until T1 and T2 are filled with color. A T B The enclosed triangular area is then filled with color.

[0027] As an improvement of this invention, in step 4, after completing the color filling process of the triangular area, the deflection angle is further increased by θ based on the original deflection. Then, steps 3 and 4 are repeated until the cloud map of the temperature distribution of the entire crystallizer copper plate is completed. Combined with a visualization method, this allows for real-time reflection of the temperature field distribution and changes of the crystallizer copper plate, improving the efficiency of determining crystallizer leakage.

[0028] Compared with the prior art, the present invention has the following advantages: 1) The technical solution can reflect the temperature field distribution and changes of the copper plate of the crystallizer in real time, improving the efficiency of crystallizer leakage detection; 2) The thermocouple arrangement method and temperature field visualization method of the copper plate of the crystallizer of the present invention have thermocouple units on the copper plate arranged in a mesh, which can comprehensively and effectively measure the temperature field distribution on the surface of the copper plate of the crystallizer; 3) The thermocouple arrangement method and temperature field visualization method of the copper plate of the crystallizer of the present invention have a reasonable arrangement design, simple principle, low temperature measurement cost, high reliability of measurement results, and broad application prospects. Attached Figure Description

[0029] Figure 1 A schematic diagram of the arrangement of thermocouples on the copper plate of the crystallizer;

[0030] Figure 2 Fill in the flow chart for the copper plate cloud diagram of the crystallizer;

[0031] Explanation of the labels in the diagram:

[0032] T1: Temperature measured by the thermocouple at vertex 1; T2: Temperature measured by the thermocouple at vertex 2; T3: Temperature measured by the thermocouple at vertex 3; T4: Temperature measured by the thermocouple at vertex 4; T5: Temperature measured by the thermocouple at the center point 5 of the rectangle; T A Temperature at location A; T B Temperature at location B; T C Temperature at location C; T D Temperature at position D; θ: deflection angle; a: length of the rectangular grid; b: width of the rectangular grid. Detailed implementation method:

[0033] To enhance understanding of the present invention, the embodiments will be described in detail below with reference to the accompanying drawings.

[0034] Example 1: See Figure 1 , Figure 2 This embodiment of a method for arranging thermocouples on a crystallizer copper plate and visualizing the temperature field includes the following steps:

[0035] Step 1: The thermocouples inside the copper plate of the crystallizer are arranged in a specific manner;

[0036] First, arrange all thermocouples as vertices in a rectangular grid, and number the rectangular grids from left to right. Then, add a thermocouple at the center of each rectangular grid.

[0037] Step 2: Collect and store the temperature data of all thermocouples inside the copper plate of the crystallizer;

[0038] In each detection cycle of thermocouple temperature data, the temperature of all thermocouples is measured and stored.

[0039] Step 3: Process the thermocouple temperature data and draw the temperature contour lines within the area enclosed by the thermocouple;

[0040] like( Figure 1 ), which is a schematic diagram of a rectangular grid with a specification of 2a×2b for one of the thermocouples on the copper plate of the crystallizer. T1, T2, T3, T4 represent the temperatures of the thermocouple measuring points at the four vertices 1, 2, 3, and 4 of the rectangular grid at a certain time t0, respectively, and T5 is the temperature of the thermocouple measuring point 5 at the center point of the rectangular grid at time t0.

[0041] In step 31), at time t0, the temperature at point A, the midpoint of the line connecting the two measuring points 1 and 3 (assuming T1 is the minimum) on the copper plate of the crystallizer, is defined as T. A T A It can be calculated using Lagrange interpolation, and the specific formula (1) is as follows:

[0042]

[0043] In step 32), when the deflection angle is a certain angle θ, point B is obtained on the line connecting points A and 5, and the temperature at point B is T. B Similarly, the temperature is calculated using Lagrange interpolation. Then, a point C is found on the line connecting measuring point 1 and point B, and its temperature is defined as T. C T C =T A And the specific position of point C on the line connecting points A and C is calculated by Lagrange interpolation, and the contour lines are used to connect points A and C.

[0044] Step 33): Set a ΔT, and find a point D with temperature T between the line connecting 1 and A. D , let T D =T A -ΔT, then find a point E on the line connecting points 1 and C with temperature T. E , let T E =T D T was calculated using Lagrange interpolation. E At the position on the line, place T D With T E Connect the two points using contour lines;

[0045] Step 4: Fill the area with color according to the pre-set temperature and color mapping relationship to draw the temperature cloud map of the copper plate in the crystallizer.

[0046] The area is filled with color according to a pre-defined mapping relationship between temperature and color. Specifically, the relationship between temperature (T) and color (T0) is calculated first. D The average value Tp is calculated, and a corresponding color is assigned to Tp. A T C T E T D Fill the area enclosed by the four points with color, repeating step 3) until T1 and T2 are filled. A T B The enclosed triangular area is then filled with color.

[0047] After completing the color filling process of the triangular area, continue to deflect by an angle θ based on the original deflection, and then repeat steps 3 and 4 until the cloud map of the temperature distribution of the entire crystallizer copper plate is completed.

[0048] like Figure 1As shown, this embodiment of a crystallizer copper plate thermocouple arrangement and temperature field visualization method includes first arranging all thermocouples as vertices in a rectangular grid and numbering them 1, 2, 3, and 4, and then adding a thermocouple numbered 5 at the center of each rectangular grid. The thermocouple units on the copper plate are arranged in a mesh pattern, which can comprehensively and effectively measure the temperature field distribution on the surface of the crystallizer copper plate. Figure 1 As shown, in this embodiment, the temperature of all thermocouples is measured and stored within each detection cycle of the thermocouple temperature data on the copper plate of the crystallizer. The thermocouple temperature data is then processed to draw temperature contour lines within the area enclosed by the thermocouples. The specific operations are as follows:

[0049] 1. At time t0, the temperature at point A, the midpoint of the line connecting points 1 and 3 (assuming T1 is the minimum) on the copper plate of the crystallizer, is defined as T. A T A It can be calculated using Lagrange interpolation, and the specific formula (1) is as follows:

[0050]

[0051] 2. When the deflection angle is a certain angle θ, point B is obtained on the line connecting points A and 5, and the temperature T at point B is... B Similarly, the temperature is calculated using Lagrange interpolation. Then, a point C is found on the line connecting measuring point 1 and point B, and its temperature is defined as T. C T C =T A And the specific position of point C on the line connecting points A and C is calculated by Lagrange interpolation, and the contour lines are used to connect points A and C.

[0052] 3. Set ΔT, and find a point D with temperature T between the line connecting point 1 and point A. D , let T D =T A -ΔT, then find a point E on the line connecting points 1 and C with temperature T. E , let T E =T D T was calculated using Lagrange interpolation. E At the position on the line, place T D With T E Connect the two points using contour lines.

[0053] like Figure 1 As shown, in this embodiment, the region is filled with color according to a pre-set mapping relationship between temperature and color to draw a temperature cloud map of the copper plate in the crystallizer; specifically: firstly, T is calculated. A With T D The average value Tp is calculated, and a corresponding color is assigned to Tp. AT C T E T D Fill the area enclosed by the four points with color, then repeat step 3 until T1 and T2 are filled. A T B The enclosed triangular area is then filled with color. After completing the color filling process for the triangular area, the deflection angle is increased by θ, and the process of drawing contour lines and filling the triangular area is repeated until the temperature distribution cloud map of the entire copper plate in the crystallizer is completed. In this embodiment, the deflection angle θ and the temperature difference ΔT can be determined according to actual needs. The above process can be modified according to the specific crystallizer, making it convenient for temperature detection of copper plates in various continuous casting machine crystallizers.

[0054] It should be noted that the above embodiments are not intended to limit the scope of protection of the present invention. Equivalent transformations or substitutions made based on the above technical solutions all fall within the scope of protection of the claims of the present invention.

Claims

1. A method for arranging thermocouples on copper plates in a crystallizer, characterized in that, The method includes the following steps: Step 1: The thermocouples inside the copper plate of the crystallizer are arranged in a specific manner; Step 2: Collect and store the temperature data of all thermocouples inside the copper plate of the crystallizer; Step 3: Process the thermocouple temperature data and draw the temperature contour lines within the area enclosed by the thermocouple; Step 4: Fill the area with color according to the pre-set temperature and color mapping relationship to draw the temperature cloud map of the copper plate in the crystallizer. In step 1, all thermocouples are first arranged as vertices in a rectangular grid, and the rectangular grids are numbered sequentially from left to right. Then, a thermocouple is added to the center of each rectangular grid. In step 2, the temperature of all thermocouples is measured and stored in each detection cycle of the thermocouple temperature data; In step 3, select one of the 2a×2b rectangular grids of thermocouples on the copper plate of the crystallizer. T1, T2, T3, and T4 represent the temperatures of the thermocouple measuring points at the four vertices 1, 2, 3, and 4 of the rectangular grid at a certain time t0, respectively. T5 is the temperature of the thermocouple measuring point 5 at the center point of the rectangular grid at time t0. Specifically as follows: Step 3 includes the following sub-steps: Step 31), at time t0, the temperature of the midpoint A of the line connecting the two measuring points 1, 3 on the crystallizer copper plate is defined as T A , T A can be calculated by Lagrange interpolation method, and the specific formula (1) is as follows: (1) Step 32), when the angle is deflected by a certain angle θ, point B is obtained on the line connecting points A and 5, and the temperature T at point B is... B Similarly, the temperature is calculated using Lagrange interpolation. Then, a point C is found on the line connecting measuring point 1 and point B, and its temperature is defined as T. C T C =T A And the specific position of point C on the line connecting points A and C is calculated by Lagrange interpolation, and the contour lines are used to connect points A and C. Step 33), set a ΔT, and find a point D between the line connecting 1 and A with a temperature of T. D , let T D =T A -ΔT, then find a point E on the line connecting points 1 and C with temperature T. E , let T E =T D T was calculated using Lagrange interpolation. E At the position on the line, place T D With T E Connect the two points using contour lines; In step 4, the area is filled with color according to the pre-set mapping relationship between temperature and color. Specifically, T is first calculated. A With T D The average value T p and give T p Set a corresponding color, and set T A T C T E T D Fill the area enclosed by the four points with color, repeating step 33) until T1 and T2 are filled with color. A T B The triangular area enclosed by the color is then filled.

2. The method for arranging thermocouples on the copper plate of a crystallizer according to claim 1, characterized in that, In step 4, after completing the color filling process of the triangular area, continue to deflect by an angle θ based on the original deflection, and then repeat steps 3 and 4 until the cloud map of the temperature distribution of the entire crystallizer copper plate is completed.