Converter fire observation temperature measurement method, system and readable storage medium

Abstract

The application discloses a converter flame observation temperature measurement method and system and a readable storage medium. The method comprises the following steps: acquiring a flame image in a converter and a time value corresponding to the flame image; querying a preset temperature control table according to the time value of the flame image to obtain a temperature control range corresponding to the time when the flame image is captured; sending the flame image in the converter to a preset AI analysis program to obtain a temperature prediction value corresponding to the flame image; judging whether the temperature prediction value of the flame image is in the temperature control range corresponding to the time when the flame image is captured; if yes, the temperature of the converter is normal; if no, a temperature abnormality prompt information is triggered; and the temperature abnormality prompt information is sent to a preset management end for display. The application solves the pain points that an operator cannot know the real-time temperature in the converter, component control, smelting operation and safety hazards at all times, allows the operator to adjust a gun position in real time, controls oxygen blowing and the like, and reduces smelting loss and production cost.

Description

Technical Field

[0001] This invention relates to the field of image data processing technology, and more specifically, to a converter firing and temperature measurement method, system, and readable storage medium. Background Technology

[0002] Currently, most steel mills in China rely on glass observation windows to monitor flame changes during converter smelting operations to assess the furnace reaction. However, when adding scrap steel or molten iron, the explosion-proof doors of the observation windows must be closed for safety reasons to prevent production accidents. Failure to close these doors during production poses significant safety hazards, including the risk of broken glass and personnel injury due to delayed door closure.

[0003] Therefore, existing technologies have shortcomings and urgently need improvement. Summary of the Invention

[0004] In view of the above problems, the purpose of this invention is to provide a converter fire monitoring and temperature measurement method, system and readable storage medium that can improve the safety performance during smelting and reduce smelting losses and production costs.

[0005] The first aspect of this invention provides a method for observing and measuring the temperature of a converter, comprising:

[0006] Acquire flame images inside the converter and the corresponding time values ​​of the flame image capture;

[0007] The temperature control range corresponding to the time when the flame image was captured is obtained by looking up the preset temperature control table based on the time value of the flame image capture.

[0008] The flame image inside the converter is sent to a preset AI analysis program to obtain the temperature prediction value of the corresponding flame image;

[0009] Determine whether the predicted temperature value of the flame image is within the temperature control range when the corresponding flame image was captured. If yes, the corresponding converter temperature is normal; otherwise, trigger an abnormal temperature warning message.

[0010] The abnormal temperature alert is sent to a preset management terminal for display.

[0011] In this solution, after triggering the abnormal temperature warning message (if not), the following steps are included:

[0012] Based on a preset first time period, the number of times the abnormal temperature warning message is triggered is obtained;

[0013] Determine if the number of times the abnormal temperature prompt message is triggered is greater than a preset threshold. If so, extract the predicted temperature value of the abnormal temperature within the preset first time period.

[0014] When the predicted temperature value for triggering abnormal temperature within the preset first time period is less than the temperature control range when the corresponding flame image is captured, the minimum value in the temperature control range when the corresponding flame image is captured is subtracted from the predicted temperature value for triggering abnormal temperature within the preset first time period to obtain the first temperature difference.

[0015] The first temperature adjustment value is obtained by averaging the first temperature difference.

[0016] When the predicted temperature value for triggering abnormal temperature within the preset first time period is greater than the temperature control range when the corresponding flame image is captured, the predicted temperature value for triggering abnormal temperature within the preset first time period is subtracted from the maximum value in the temperature control range when the corresponding flame image is captured to obtain the second temperature difference.

[0017] The second temperature difference is averaged to obtain the second temperature adjustment value;

[0018] The flame temperature inside the converter is adjusted accordingly based on the first or second temperature adjustment value.

[0019] This plan also includes:

[0020] When the predicted temperature value that triggers abnormal temperature within the preset first time period is both greater than the temperature control range when the corresponding flame image was taken and less than the temperature control range when the corresponding flame image was taken, a gun position warning message is triggered.

[0021] Based on the gun position warning information, obtain the real-time feeding type and corresponding content value of the gun position;

[0022] Subtract the preset theoretical content value of the corresponding feed type from the real-time content value of the feed type at the gun position to obtain the content difference of the feed type.

[0023] Determine whether the content difference of the added ingredients is greater than a preset content difference threshold. If so, adjust the content value of the current added ingredient based on the content difference of the added ingredients.

[0024] In this solution, the step of obtaining the predicted temperature value of the corresponding flame image specifically includes:

[0025] Extract the flame color value from the flame image;

[0026] By comparing and analyzing the flame color value with a preset flame color temperature comparison table, the temperature value corresponding to the flame color value is obtained.

[0027] Arrange the temperature values ​​corresponding to the flame color values ​​in ascending order, and extract the maximum temperature value;

[0028] Set the maximum temperature value as the predicted temperature value for the corresponding flame image.

[0029] This plan also includes:

[0030] The flame image is divided into multiple flame image grids according to a preset grid size;

[0031] Extract predicted temperature values ​​from the flame image raster;

[0032] The difference between the predicted temperature value in the flame image grid and the predicted temperature value in the corresponding flame image is calculated to obtain the third temperature difference value.

[0033] Determine whether the third temperature difference is greater than a preset third temperature difference threshold. If so, generate temperature adjustment information for the corresponding flame image grid.

[0034] The temperature of the corresponding area inside the converter is adjusted locally based on the temperature adjustment information of the flame image grid.

[0035] In this solution, the step of generating temperature adjustment information corresponding to the flame image grid specifically includes:

[0036] Obtain the position information of the flame image raster within the flame image;

[0037] The flame image grid is numbered and associated with the position of the corresponding flame image grid in the flame image to obtain the flame image grid number and the position of the corresponding number;

[0038] Obtain the current nozzle angle and the preset nozzle angle of the corresponding numbered flame image grid;

[0039] Subtract the current nozzle angle from the preset nozzle angle of the corresponding numbered flame image grid to obtain the nozzle angle adjustment value;

[0040] The type of material to be added and its weight or volume can be obtained by querying the preset temperature adjustment feeding table based on the third temperature difference.

[0041] The temperature adjustment information of the corresponding flame image grid includes the adjustment value of the nozzle angle, the type of feed corresponding to the third temperature difference, and the weight or volume of the corresponding type of feed.

[0042] A second aspect of the present invention provides a converter firing and temperature measurement system, comprising a memory and a processor. The memory stores a converter firing and temperature measurement method program, which, when executed by the processor, performs the following steps:

[0043] Acquire flame images inside the converter and the corresponding time values ​​of the flame image capture;

[0044] The temperature control range corresponding to the time when the flame image was captured is obtained by looking up the preset temperature control table based on the time value of the flame image capture.

[0045] The flame image inside the converter is sent to a preset AI analysis program to obtain the temperature prediction value of the corresponding flame image;

[0046] Determine whether the predicted temperature value of the flame image is within the temperature control range when the corresponding flame image was captured. If yes, the corresponding converter temperature is normal; otherwise, trigger an abnormal temperature warning message.

[0047] The abnormal temperature alert is sent to a preset management terminal for display.

[0048] In this solution, after triggering the abnormal temperature warning message (if not), the following steps are included:

[0049] Based on a preset first time period, the number of times the abnormal temperature warning message is triggered is obtained;

[0050] Determine if the number of times the abnormal temperature prompt message is triggered is greater than a preset threshold. If so, extract the predicted temperature value of the abnormal temperature within the preset first time period.

[0051] When the predicted temperature value for triggering abnormal temperature within the preset first time period is less than the temperature control range when the corresponding flame image is captured, the minimum value in the temperature control range when the corresponding flame image is captured is subtracted from the predicted temperature value for triggering abnormal temperature within the preset first time period to obtain the first temperature difference.

[0052] The first temperature adjustment value is obtained by averaging the first temperature difference.

[0053] When the predicted temperature value for triggering abnormal temperature within the preset first time period is greater than the temperature control range when the corresponding flame image is captured, the predicted temperature value for triggering abnormal temperature within the preset first time period is subtracted from the maximum value in the temperature control range when the corresponding flame image is captured to obtain the second temperature difference.

[0054] The second temperature difference is averaged to obtain the second temperature adjustment value;

[0055] The flame temperature inside the converter is adjusted accordingly based on the first or second temperature adjustment value.

[0056] This plan also includes:

[0057] When the predicted temperature value that triggers abnormal temperature within the preset first time period is both greater than the temperature control range when the corresponding flame image was taken and less than the temperature control range when the corresponding flame image was taken, a gun position warning message is triggered.

[0058] Based on the gun position warning information, obtain the real-time feeding type and corresponding content value of the gun position;

[0059] Subtract the preset theoretical content value of the corresponding feed type from the real-time content value of the feed type at the gun position to obtain the content difference of the feed type.

[0060] Determine whether the content difference of the added ingredients is greater than a preset content difference threshold. If so, adjust the content value of the current added ingredient based on the content difference of the added ingredients.

[0061] In this solution, the step of obtaining the predicted temperature value of the corresponding flame image specifically includes:

[0062] Extract the flame color value from the flame image;

[0063] By comparing and analyzing the flame color value with a preset flame color temperature comparison table, the temperature value corresponding to the flame color value is obtained.

[0064] Arrange the temperature values ​​corresponding to the flame color values ​​in ascending order, and extract the maximum temperature value;

[0065] Set the maximum temperature value as the predicted temperature value for the corresponding flame image.

[0066] This plan also includes:

[0067] The flame image is divided into multiple flame image grids according to a preset grid size;

[0068] Extract predicted temperature values ​​from the flame image raster;

[0069] The difference between the predicted temperature value in the flame image grid and the predicted temperature value in the corresponding flame image is calculated to obtain the third temperature difference value.

[0070] Determine whether the third temperature difference is greater than a preset third temperature difference threshold. If so, generate temperature adjustment information for the corresponding flame image grid.

[0071] The temperature of the corresponding area inside the converter is adjusted locally based on the temperature adjustment information of the flame image grid.

[0072] In this solution, the step of generating temperature adjustment information corresponding to the flame image grid specifically includes:

[0073] Obtain the position information of the flame image raster within the flame image;

[0074] The flame image grid is numbered and associated with the position of the corresponding flame image grid in the flame image to obtain the flame image grid number and the position of the corresponding number;

[0075] Obtain the current nozzle angle and the preset nozzle angle of the corresponding numbered flame image grid;

[0076] Subtract the current nozzle angle from the preset nozzle angle of the corresponding numbered flame image grid to obtain the nozzle angle adjustment value;

[0077] Based on the third temperature difference, the type of material to be added and the weight or volume of the corresponding material can be obtained by querying the preset temperature adjustment feeding table.

[0078] The temperature adjustment information of the corresponding flame image grid includes the adjustment value of the nozzle angle, the type of feed corresponding to the third temperature difference, and the weight or volume of the corresponding type of feed.

[0079] A third aspect of the present invention provides a computer-readable storage medium storing a converter firing and temperature measurement method program, wherein when the converter firing and temperature measurement method program is executed by a processor, it implements the steps of the converter firing and temperature measurement method as described in any one of the above descriptions.

[0080] This invention discloses a converter furnace observation and temperature measurement method, system, and readable storage medium, which solves the pain point that operators cannot know the real-time temperature, composition control, smelting operation, and safety hazards in the furnace throughout the entire process. It allows operators to adjust the gun position and control oxygen blowing in real time, thereby reducing smelting losses and production costs. Attached Figure Description

[0081] Figure 1 A flowchart of a converter observation and temperature measurement method according to the present invention is shown;

[0082] Figure 2 A block diagram of a converter fire monitoring and temperature measurement system according to the present invention is shown. Detailed Implementation

[0083] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0084] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0085] Figure 1A flowchart of a converter observation and temperature measurement method according to the present invention is shown.

[0086] like Figure 1 As shown, this invention discloses a method for measuring the temperature of a converter during firing, comprising:

[0087] S101, acquire the flame image inside the converter and the corresponding time value of the flame image capture;

[0088] S102: Based on the time value of the flame image capture, look up the preset temperature control table to obtain the temperature control range corresponding to the flame image capture time;

[0089] S103, the flame image inside the converter is sent to the preset AI analysis program to obtain the temperature prediction value of the corresponding flame image;

[0090] S104, determine whether the predicted temperature value of the flame image is within the temperature control range when the corresponding flame image was captured; if yes, the corresponding converter temperature is normal; if no, trigger an abnormal temperature warning message.

[0091] S105, the abnormal temperature warning message is sent to the preset management terminal for display.

[0092] According to an embodiment of the present invention, the time value of the flame image capture is the corresponding time point of the flame image capture, such as 10:00 AM; the preset temperature control table stores the temperature control range corresponding to different time stages during converter smelting. For example, when the time value of converter smelting is 10:00 AM, the corresponding temperature control range is set to [1450, 1500]. Then, when the time value of the flame image capture is 10:00 AM, the temperature prediction value of the corresponding flame image is within the range of [1450, 1500], which is normal. Otherwise, the temperature prediction value of the flame image is abnormal, and an abnormal temperature prompt message is triggered.

[0093] According to an embodiment of the present invention, after triggering the abnormal temperature warning message (if not), the following steps are included:

[0094] Based on a preset first time period, the number of times the abnormal temperature warning message is triggered is obtained;

[0095] Determine if the number of times the abnormal temperature prompt message is triggered is greater than a preset threshold. If so, extract the predicted temperature value of the abnormal temperature within the preset first time period.

[0096] When the predicted temperature value for triggering abnormal temperature within the preset first time period is less than the temperature control range when the corresponding flame image is captured, the minimum value in the temperature control range when the corresponding flame image is captured is subtracted from the predicted temperature value for triggering abnormal temperature within the preset first time period to obtain the first temperature difference.

[0097] The first temperature adjustment value is obtained by averaging the first temperature difference.

[0098] When the predicted temperature value for triggering abnormal temperature within the preset first time period is greater than the temperature control range when the corresponding flame image is captured, the predicted temperature value for triggering abnormal temperature within the preset first time period is subtracted from the maximum value in the temperature control range when the corresponding flame image is captured to obtain the second temperature difference.

[0099] The second temperature difference is averaged to obtain the second temperature adjustment value;

[0100] The flame temperature inside the converter is adjusted accordingly based on the first or second temperature adjustment value.

[0101] It should be noted that, for example, if the preset first time period is 10 seconds, then the number of times the abnormal temperature warning message is triggered within 10 seconds is obtained. For example, if the preset threshold for the number of triggers is 3, then if the number of times the abnormal temperature warning message is triggered is greater than 3, it means that the temperature prediction value of the corresponding flame image is abnormal, which is not accidental. The flame temperature inside the converter is not within the temperature control range. Therefore, the flame temperature value inside the converter is adjusted accordingly by temperature adjustment values. The temperature adjustment values ​​include a first temperature adjustment value and a second temperature adjustment value. If it is the first temperature adjustment value, the flame temperature inside the converter is increased according to the first temperature adjustment value; if it is the second temperature adjustment value, the flame temperature inside the converter is decreased according to the second temperature adjustment value.

[0102] According to an embodiment of the present invention, it further includes:

[0103] When the predicted temperature value that triggers abnormal temperature within the preset first time period is both greater than the temperature control range when the corresponding flame image was taken and less than the temperature control range when the corresponding flame image was taken, a gun position warning message is triggered.

[0104] Based on the gun position warning information, obtain the real-time feeding type and corresponding content value of the gun position;

[0105] Subtract the preset theoretical content value of the corresponding feed type from the real-time content value of the feed type at the gun position to obtain the content difference of the feed type.

[0106] Determine whether the content difference of the added ingredients is greater than a preset content difference threshold. If so, adjust the content value of the current added ingredient based on the content difference of the added ingredients.

[0107] It should be noted that when the predicted temperature value for triggering abnormal temperature within the preset first time period is both greater than and less than the temperature control range when the corresponding flame image is captured, it indicates that there is a fault or insensitivity in the gun position control inside the corresponding converter, triggering a gun position warning message. If the content difference of the feed types is greater than the preset content difference threshold, the content value of the current feed type is adjusted according to the content difference of the corresponding feed type, such as adding oxygen. If the content difference is positive, the content value of the current feed type is reduced; if the content difference is negative, the content value of the current feed type is increased. The preset content difference threshold is set by those skilled in the art.

[0108] According to an embodiment of the present invention, the step of obtaining the temperature prediction value of the corresponding flame image specifically includes:

[0109] Extract the flame color value from the flame image;

[0110] By comparing and analyzing the flame color value with a preset flame color temperature comparison table, the temperature value corresponding to the flame color value is obtained.

[0111] Arrange the temperature values ​​corresponding to the flame color values ​​in ascending order, and extract the maximum temperature value;

[0112] Set the maximum temperature value as the predicted temperature value for the corresponding flame image.

[0113] It should be noted that the preset AI analysis program is trained using a large number of historical flame images and corresponding temperature values. The more historical flame images and corresponding temperature values ​​there are, the more accurate the preset AI analysis program will be. The preset AI analysis program performs comparative analysis on the flame images inside the converter and historical flame images to obtain similarity values. It finds the historical flame image with the largest similarity value and sets the temperature value corresponding to the historical flame image with the largest similarity value as the temperature prediction value of the flame image inside the converter. If there are multiple largest similarity values, the temperature values ​​corresponding to the historical flame images with the largest similarity values ​​are arranged in ascending order, the largest temperature value is extracted, and the largest temperature value is set as the temperature prediction value of the corresponding flame image.

[0114] According to an embodiment of the present invention, it further includes:

[0115] The flame image is divided into multiple flame image grids according to a preset grid size;

[0116] Extract predicted temperature values ​​from the flame image raster;

[0117] The difference between the predicted temperature value in the flame image grid and the predicted temperature value in the corresponding flame image is calculated to obtain the third temperature difference value.

[0118] Determine whether the third temperature difference is greater than a preset third temperature difference threshold. If so, generate temperature adjustment information for the corresponding flame image grid.

[0119] The temperature of the corresponding area inside the converter is adjusted locally based on the temperature adjustment information of the flame image grid.

[0120] It should be noted that, in order to ensure a relatively uniform temperature inside the converter, the flame image is rasterized, and the third temperature difference between the flame image raster is determined according to a preset third temperature difference threshold. If it is greater than the preset third temperature difference threshold, it indicates that the temperature inside the converter is not uniform enough, and the temperature adjustment information of the corresponding flame image raster is produced to adjust the current temperature inside the converter. The preset third temperature difference threshold is set by those skilled in the art, for example, 30 degrees Celsius.

[0121] According to an embodiment of the present invention, the step of generating temperature adjustment information corresponding to the flame image grid specifically includes:

[0122] Obtain the position information of the flame image raster within the flame image;

[0123] The flame image grid is numbered and associated with the position of the corresponding flame image grid in the flame image to obtain the flame image grid number and the position of the corresponding number;

[0124] Obtain the current nozzle angle and the preset nozzle angle of the corresponding numbered flame image grid;

[0125] Subtract the current nozzle angle from the preset nozzle angle of the corresponding numbered flame image grid to obtain the nozzle angle adjustment value;

[0126] The type of material to be added and its weight or volume can be obtained by querying the preset temperature adjustment feeding table based on the third temperature difference.

[0127] The temperature adjustment information of the corresponding flame image grid includes the adjustment value of the nozzle angle, the type of feed corresponding to the third temperature difference, and the weight or volume of the corresponding type of feed.

[0128] It should be noted that after the flame image is rasterized, each flame image grid is numbered, and the position of the flame image grid is associated with the corresponding flame image grid number. Each flame image grid has a preset nozzle angle. Based on the preset nozzle angle, the flame image grid position is fed with materials, oxygen, etc. The preset temperature adjustment feeding table stores the feeding types and corresponding weights or volumes of different third temperature difference ranges. For example, oxygen is calculated by volume. The feeding types and corresponding weights or volumes of the different third temperature difference ranges are set according to actual needs, and are specifically set by those skilled in the art.

[0129] According to an embodiment of the present invention, it further includes:

[0130] Obtain indoor light intensity information;

[0131] The difference between the indoor light intensity and the preset indoor light intensity is calculated to obtain the indoor light intensity difference;

[0132] Determine whether the indoor light intensity difference is greater than a preset light intensity difference threshold; if not, the indoor light intensity is normal.

[0133] If so, multiply the difference in indoor light intensity by the preset light conversion coefficient to obtain the preset light parameter adjustment value of the camera device;

[0134] The preset camera device is adjusted according to the preset camera device light parameter adjustment value.

[0135] It should be noted that, in order to eliminate the influence of indoor light on the flame image captured by the preset camera device, the light parameter adjustment value of the preset camera device is obtained based on the difference in indoor light intensity and the preset light conversion coefficient. If the light parameter adjustment value is positive, the corresponding preset camera device adjusts the corresponding light parameter adjustment value lower; if the light parameter adjustment value is negative, the corresponding preset camera device adjusts the corresponding light parameter adjustment value higher.

[0136] According to an embodiment of the present invention, it further includes:

[0137] Using the predicted temperature value of the flame image as the vertical y-axis index and the corresponding flame image capture time value as the horizontal x-axis index, a curve of the predicted temperature value of the flame image versus time is plotted.

[0138] The temperature prediction value-time change curve of the flame image and the abnormal temperature prompt information are sent to a preset display screen for display.

[0139] It should be noted that the preset display screen displays the temperature prediction value-time change curve of the flame image in real time and the abnormal temperature prompt information; furthermore, the preset display screen will also display the flame image, furnace number, furnace status, and molten iron temperature in the furnace at each stage of smelting in real time.

[0140] According to embodiments of the present invention, it further includes;

[0141] Obtain data information on the converter PLC smelting steps;

[0142] Based on the data information of the converter PLC smelting steps, the parameter information of the preset camera device for different smelting steps is obtained;

[0143] The preset camera device is adjusted in real time based on the parameter information of the preset camera device for different smelting steps, so that the flame shape and color achieve the best effect.

[0144] It should be noted that the temperature values ​​inside the converter are different for different smelting steps, so the colors of the flame images are also different. Therefore, the flame shape and color can be optimized by adjusting the parameters of the preset camera device for different smelting step time periods.

[0145] Figure 2 A block diagram of a converter fire monitoring and temperature measurement system according to the present invention is shown.

[0146] like Figure 2 As shown, a second aspect of the present invention provides a converter firing and temperature measurement system 2, including a memory 21 and a processor 22. The memory stores a converter firing and temperature measurement method program, which, when executed by the processor, performs the following steps:

[0147] Acquire flame images inside the converter and the corresponding time values ​​of the flame image capture;

[0148] The temperature control range corresponding to the time when the flame image was captured is obtained by looking up the preset temperature control table based on the time value of the flame image capture.

[0149] The flame image inside the converter is sent to a preset AI analysis program to obtain the temperature prediction value of the corresponding flame image;

[0150] Determine whether the predicted temperature value of the flame image is within the temperature control range when the corresponding flame image was captured. If yes, the corresponding converter temperature is normal; otherwise, trigger an abnormal temperature warning message.

[0151] The abnormal temperature warning message is sent to a preset management terminal for display.

[0152] According to an embodiment of the present invention, the time value of the flame image capture is the corresponding time point of the flame image capture, such as 10:00 AM; the preset temperature control table stores the temperature control range corresponding to different time stages during converter smelting. For example, when the time value of converter smelting is 10:00 AM, the corresponding temperature control range is set to [1450, 1500]. Then, when the time value of the flame image capture is 10:00 AM, the temperature prediction value of the corresponding flame image is within the range of [1450, 1500], which is normal. Otherwise, the temperature prediction value of the flame image is abnormal, and an abnormal temperature prompt message is triggered.

[0153] According to an embodiment of the present invention, after triggering the abnormal temperature warning message (if not), the following steps are included:

[0154] Based on a preset first time period, the number of times the abnormal temperature warning message is triggered is obtained;

[0155] Determine if the number of times the abnormal temperature prompt message is triggered is greater than a preset threshold. If so, extract the predicted temperature value of the abnormal temperature within the preset first time period.

[0156] When the predicted temperature value for triggering abnormal temperature within the preset first time period is less than the temperature control range when the corresponding flame image is captured, the minimum value in the temperature control range when the corresponding flame image is captured is subtracted from the predicted temperature value for triggering abnormal temperature within the preset first time period to obtain the first temperature difference.

[0157] The first temperature adjustment value is obtained by averaging the first temperature difference.

[0158] When the predicted temperature value for triggering abnormal temperature within the preset first time period is greater than the temperature control range when the corresponding flame image is captured, the predicted temperature value for triggering abnormal temperature within the preset first time period is subtracted from the maximum value in the temperature control range when the corresponding flame image is captured to obtain the second temperature difference.

[0159] The second temperature difference is averaged to obtain the second temperature adjustment value;

[0160] The flame temperature inside the converter is adjusted accordingly based on the first or second temperature adjustment value.

[0161] It should be noted that, for example, if the preset first time period is 10 seconds, then the number of times the abnormal temperature warning message is triggered within 10 seconds is obtained. For example, if the preset threshold for the number of triggers is 3, then if the number of times the abnormal temperature warning message is triggered is greater than 3, it means that the temperature prediction value of the corresponding flame image is abnormal, which is not accidental. The flame temperature inside the converter is not within the temperature control range. Therefore, the flame temperature value inside the converter is adjusted accordingly by temperature adjustment values. The temperature adjustment values ​​include a first temperature adjustment value and a second temperature adjustment value. If it is the first temperature adjustment value, the flame temperature inside the converter is increased according to the first temperature adjustment value; if it is the second temperature adjustment value, the flame temperature inside the converter is decreased according to the second temperature adjustment value.

[0162] According to an embodiment of the present invention, it further includes:

[0163] When the predicted temperature value that triggers abnormal temperature within the preset first time period is both greater than the temperature control range when the corresponding flame image was taken and less than the temperature control range when the corresponding flame image was taken, a gun position warning message is triggered.

[0164] Based on the gun position warning information, obtain the real-time feeding type and corresponding content value of the gun position;

[0165] Subtract the preset theoretical content value of the corresponding feed type from the real-time content value of the feed type at the gun position to obtain the content difference of the feed type.

[0166] Determine whether the content difference of the added ingredients is greater than a preset content difference threshold. If so, adjust the content value of the current added ingredient based on the content difference of the added ingredients.

[0167] It should be noted that when the predicted temperature value for triggering abnormal temperature within the preset first time period is both greater than and less than the temperature control range when the corresponding flame image is captured, it indicates that there is a fault or insensitivity in the gun position control inside the corresponding converter, triggering a gun position warning message. If the content difference of the feed types is greater than the preset content difference threshold, the content value of the current feed type is adjusted according to the content difference of the corresponding feed type, such as adding oxygen. If the content difference is positive, the content value of the current feed type is reduced; if the content difference is negative, the content value of the current feed type is increased. The preset content difference threshold is set by those skilled in the art.

[0168] According to an embodiment of the present invention, the step of obtaining the temperature prediction value of the corresponding flame image specifically includes:

[0169] Extract the flame color value from the flame image;

[0170] By comparing and analyzing the flame color value with a preset flame color temperature comparison table, the temperature value corresponding to the flame color value is obtained.

[0171] Arrange the temperature values ​​corresponding to the flame color values ​​in ascending order, and extract the maximum temperature value;

[0172] Set the maximum temperature value as the predicted temperature value for the corresponding flame image.

[0173] It should be noted that the preset AI analysis program is trained using a large number of historical flame images and corresponding temperature values. The more historical flame images and corresponding temperature values ​​there are, the more accurate the preset AI analysis program will be. The preset AI analysis program performs comparative analysis on the flame images inside the converter and historical flame images to obtain similarity values. It finds the historical flame image with the largest similarity value and sets the temperature value corresponding to the historical flame image with the largest similarity value as the temperature prediction value of the flame image inside the converter. If there are multiple largest similarity values, the temperature values ​​corresponding to the historical flame images with the largest similarity values ​​are arranged in ascending order, the largest temperature value is extracted, and the largest temperature value is set as the temperature prediction value of the corresponding flame image.

[0174] According to an embodiment of the present invention, it further includes:

[0175] The flame image is divided into multiple flame image grids according to a preset grid size;

[0176] Extract predicted temperature values ​​from the flame image raster;

[0177] The difference between the predicted temperature value in the flame image grid and the predicted temperature value in the corresponding flame image is calculated to obtain the third temperature difference value.

[0178] Determine whether the third temperature difference is greater than a preset third temperature difference threshold. If so, generate temperature adjustment information for the corresponding flame image grid.

[0179] The temperature of the corresponding area inside the converter is adjusted locally based on the temperature adjustment information of the flame image grid.

[0180] It should be noted that, in order to ensure a relatively uniform temperature inside the converter, the flame image is rasterized, and the third temperature difference between the flame image raster is determined according to a preset third temperature difference threshold. If it is greater than the preset third temperature difference threshold, it indicates that the temperature inside the converter is not uniform enough, and the temperature adjustment information of the corresponding flame image raster is produced to adjust the current temperature inside the converter. The preset third temperature difference threshold is set by those skilled in the art, for example, 30 degrees Celsius.

[0181] According to an embodiment of the present invention, the step of generating temperature adjustment information corresponding to the flame image grid specifically includes:

[0182] Obtain the position information of the flame image raster within the flame image;

[0183] The flame image grid is numbered and associated with the position of the corresponding flame image grid in the flame image to obtain the flame image grid number and the position of the corresponding number;

[0184] Obtain the current nozzle angle and the preset nozzle angle of the corresponding numbered flame image grid;

[0185] Subtract the current nozzle angle from the preset nozzle angle of the corresponding numbered flame image grid to obtain the nozzle angle adjustment value;

[0186] The type of material to be added and its weight or volume can be obtained by querying the preset temperature adjustment feeding table based on the third temperature difference.

[0187] The temperature adjustment information of the corresponding flame image grid includes the adjustment value of the nozzle angle, the type of feed corresponding to the third temperature difference, and the weight or volume of the corresponding type of feed.

[0188] It should be noted that after the flame image is rasterized, each flame image grid is numbered, and the position of the flame image grid is associated with the corresponding flame image grid number. Each flame image grid has a preset nozzle angle. Based on the preset nozzle angle, the flame image grid position is fed with materials, oxygen, etc. The preset temperature adjustment feeding table stores the feeding types and corresponding weights or volumes of different third temperature difference ranges. For example, oxygen is calculated by volume. The feeding types and corresponding weights or volumes of the different third temperature difference ranges are set according to actual needs, and are specifically set by those skilled in the art.

[0189] According to an embodiment of the present invention, it further includes:

[0190] Obtain indoor light intensity information;

[0191] The difference between the indoor light intensity and the preset indoor light intensity is calculated to obtain the indoor light intensity difference;

[0192] Determine whether the indoor light intensity difference is greater than a preset light intensity difference threshold; if not, the indoor light intensity is normal.

[0193] If so, multiply the difference in indoor light intensity by the preset light conversion coefficient to obtain the preset light parameter adjustment value of the camera device;

[0194] The preset camera device is adjusted according to the preset camera device light parameter adjustment value.

[0195] It should be noted that, in order to eliminate the influence of indoor light on the flame image captured by the preset camera device, the light parameter adjustment value of the preset camera device is obtained based on the difference in indoor light intensity and the preset light conversion coefficient. If the light parameter adjustment value is positive, the corresponding preset camera device adjusts the corresponding light parameter adjustment value lower; if the light parameter adjustment value is negative, the corresponding preset camera device adjusts the corresponding light parameter adjustment value higher.

[0196] According to an embodiment of the present invention, it further includes:

[0197] Using the predicted temperature value of the flame image as the vertical y-axis index and the corresponding flame image capture time value as the horizontal x-axis index, a curve of the predicted temperature value of the flame image versus time is plotted.

[0198] The temperature prediction value-time change curve of the flame image and the abnormal temperature prompt information are sent to a preset display screen for display.

[0199] It should be noted that the preset display screen displays the temperature prediction value-time change curve of the flame image in real time and the abnormal temperature prompt information; furthermore, the preset display screen will also display the flame image, furnace number, furnace status, and molten iron temperature in the furnace at each stage of smelting in real time.

[0200] According to embodiments of the present invention, it further includes;

[0201] Obtain data information on the converter PLC smelting steps;

[0202] Based on the data information of the converter PLC smelting steps, the parameter information of the preset camera device for different smelting steps is obtained;

[0203] The preset camera device is adjusted in real time based on the parameter information of the preset camera device for different smelting steps, so that the flame shape and color achieve the best effect.

[0204] It should be noted that the temperature values ​​inside the converter are different for different smelting steps, so the colors of the flame images are also different. Therefore, the flame shape and color can be optimized by adjusting the parameters of the preset camera device for different smelting step time periods.

[0205] A third aspect of the present invention provides a computer-readable storage medium storing a converter firing and temperature measurement method program, wherein when the converter firing and temperature measurement method program is executed by a processor, it implements the steps of the converter firing and temperature measurement method as described in any one of the above descriptions.

[0206] This invention discloses a method, system, and readable storage medium for measuring the temperature of a converter fire. The method includes: acquiring an image of the flame inside the converter and the corresponding time value of the flame image capture; querying a preset temperature control table based on the flame image capture time value to obtain the temperature control range at the time the flame image was captured; sending the flame image inside the converter to a preset AI analysis program to obtain a predicted temperature value for the corresponding flame image; determining whether the predicted temperature value of the flame image is within the temperature control range at the time the flame image was captured; if so, the corresponding converter temperature is normal; if not, triggering a temperature abnormality warning message; and sending the temperature abnormality warning message to a preset management terminal for display. This solves the pain point that operators cannot know the real-time temperature, composition control, smelting operation, and safety hazards inside the furnace throughout the entire process, allowing operators to adjust the gun position and control oxygen blowing in real time, reducing smelting losses and production costs.

[0207] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0208] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0209] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0210] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0211] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, 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 methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A method for observing and measuring the temperature of a converter, characterized in that, include: Acquire flame images inside the converter and the corresponding time values ​​of the flame image capture; The temperature control range corresponding to the time when the flame image was captured is obtained by looking up the preset temperature control table based on the time value of the flame image capture. The flame image inside the converter is sent to a preset AI analysis program to obtain the temperature prediction value of the corresponding flame image; Determine whether the predicted temperature value of the flame image is within the temperature control range when the corresponding flame image was captured. If yes, the corresponding converter temperature is normal; otherwise, trigger an abnormal temperature warning message. The abnormal temperature alert message is sent to a preset management terminal for display. If not, after triggering the abnormal temperature warning message, the following will be included: Based on a preset first time period, the number of times the abnormal temperature warning message is triggered is obtained; Determine if the number of times the abnormal temperature prompt message is triggered is greater than a preset threshold. If so, extract the predicted temperature value of the abnormal temperature within the preset first time period. When the predicted temperature value for triggering abnormal temperature within the preset first time period is less than the temperature control range when the corresponding flame image is captured, the minimum value in the temperature control range when the corresponding flame image is captured is subtracted from the predicted temperature value for triggering abnormal temperature within the preset first time period to obtain the first temperature difference. The first temperature adjustment value is obtained by averaging the first temperature difference. When the predicted temperature value for triggering abnormal temperature within the preset first time period is greater than the temperature control range when the corresponding flame image is captured, the predicted temperature value for triggering abnormal temperature within the preset first time period is subtracted from the maximum value in the temperature control range when the corresponding flame image is captured to obtain the second temperature difference. The second temperature difference is averaged to obtain the second temperature adjustment value; The flame temperature inside the converter is adjusted accordingly based on the first or second temperature adjustment value.

2. The converter observation and temperature measurement method according to claim 1, characterized in that, Also includes: When the predicted temperature value that triggers abnormal temperature within the preset first time period is both greater than the temperature control range when the corresponding flame image was taken and less than the temperature control range when the corresponding flame image was taken, a gun position warning message is triggered. Based on the gun position warning information, obtain the real-time feeding type and corresponding content value of the gun position; Subtract the preset theoretical content value of the corresponding feed type from the real-time content value of the feed type at the gun position to obtain the content difference of the feed type. Determine whether the content difference of the added ingredients is greater than a preset content difference threshold. If so, adjust the content value of the current added ingredient based on the content difference of the added ingredients.

3. The converter observation and temperature measurement method according to claim 1, characterized in that, The step of obtaining the predicted temperature value of the corresponding flame image specifically includes: Extract the flame color value from the flame image; By comparing and analyzing the flame color value with a preset flame color temperature comparison table, the temperature value corresponding to the flame color value is obtained. Arrange the temperature values ​​corresponding to the flame color values ​​in ascending order, and extract the maximum temperature value; Set the maximum temperature value as the predicted temperature value for the corresponding flame image.

4. The converter observation and temperature measurement method according to claim 3, characterized in that, Also includes: The flame image is divided into multiple flame image grids according to a preset grid size; Extract predicted temperature values ​​from the flame image raster; The difference between the predicted temperature value in the flame image grid and the predicted temperature value in the corresponding flame image is calculated to obtain the third temperature difference value. Determine whether the third temperature difference is greater than a preset third temperature difference threshold. If so, generate temperature adjustment information for the corresponding flame image grid. The temperature of the corresponding area inside the converter is adjusted locally based on the temperature adjustment information of the flame image grid.

5. The converter observation and temperature measurement method according to claim 4, characterized in that, The step of generating temperature adjustment information for the corresponding flame image raster specifically includes: Obtain the position information of the flame image raster within the flame image; The flame image grid is numbered and associated with the position of the corresponding flame image grid in the flame image to obtain the flame image grid number and the position of the corresponding number; Obtain the current nozzle angle and the preset nozzle angle of the corresponding numbered flame image grid; Subtract the current nozzle angle from the preset nozzle angle of the corresponding numbered flame image grid to obtain the nozzle angle adjustment value; Based on the third temperature difference, the type of material to be added and the weight or volume of the corresponding material can be obtained by querying the preset temperature adjustment feeding table. The temperature adjustment information of the corresponding flame image grid includes the adjustment value of the nozzle angle, the type of feed corresponding to the third temperature difference, and the weight or volume of the corresponding type of feed.

6. A converter firing and temperature measurement system, characterized in that, The system includes a memory and a processor. The memory stores a program for a converter firing and temperature measurement method. When the processor executes the program, the converter firing and temperature measurement method performs the following steps: Acquire flame images inside the converter and the corresponding time values ​​of the flame image capture; The temperature control range corresponding to the time when the flame image was captured is obtained by looking up the preset temperature control table based on the time value of the flame image capture. The flame image inside the converter is sent to a preset AI analysis program to obtain the temperature prediction value of the corresponding flame image; Determine whether the predicted temperature value of the flame image is within the temperature control range when the corresponding flame image was captured. If yes, the corresponding converter temperature is normal; otherwise, trigger an abnormal temperature warning message. The abnormal temperature alert message is sent to a preset management terminal for display. If not, after triggering the abnormal temperature warning message, the following will be included: Based on a preset first time period, the number of times the abnormal temperature warning message is triggered is obtained; Determine if the number of times the abnormal temperature prompt message is triggered is greater than a preset threshold. If so, extract the predicted temperature value of the abnormal temperature within the preset first time period. When the predicted temperature value for triggering abnormal temperature within the preset first time period is less than the temperature control range when the corresponding flame image is captured, the minimum value in the temperature control range when the corresponding flame image is captured is subtracted from the predicted temperature value for triggering abnormal temperature within the preset first time period to obtain the first temperature difference. The first temperature adjustment value is obtained by averaging the first temperature difference. When the predicted temperature value for triggering abnormal temperature within the preset first time period is greater than the temperature control range when the corresponding flame image is captured, the predicted temperature value for triggering abnormal temperature within the preset first time period is subtracted from the maximum value in the temperature control range when the corresponding flame image is captured to obtain the second temperature difference. The second temperature difference is averaged to obtain the second temperature adjustment value; The flame temperature inside the converter is adjusted accordingly based on the first or second temperature adjustment value.

7. A converter firing and temperature measurement system according to claim 6, characterized in that, Also includes: When the predicted temperature value that triggers abnormal temperature within the preset first time period is both greater than the temperature control range when the corresponding flame image was taken and less than the temperature control range when the corresponding flame image was taken, a gun position warning message is triggered. Based on the gun position warning information, obtain the real-time feeding type and corresponding content value of the gun position; Subtract the preset theoretical content value of the corresponding feed type from the real-time content value of the feed type at the gun position to obtain the content difference of the feed type. Determine whether the content difference of the added ingredients is greater than a preset content difference threshold. If so, adjust the content value of the current added ingredient based on the content difference of the added ingredients.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a converter fire monitoring and temperature measurement method program. When the converter fire monitoring and temperature measurement method program is executed by a processor, it implements the steps of the converter fire monitoring and temperature measurement method as described in any one of claims 1 to 5.

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