Multi-scene adaptive intelligent argon bottom blowing control method and system

Abstract

The present application relates to a kind of multi-scene adaptive intelligent bottom argon blowing control method and system, comprising: the ladle reaches working position after determining gas permeability, receives the signal of sitting ladle, starts blowing argon, infrared thermal imager is opened to monitor picture and determine molten steel surface, fills complete all ladle liquid level area;Intelligent link all refining equipment PLC, according to different stages of metallurgical purpose, determine the bottom blowing stirring power, calculate the bottom blowing gas pressure, bottom blowing gas flow, the naked area of molten steel in continuous video stream, naked edge slag layer height and other related parameters are tracked and calculated in real time, further optimize bottom blowing control;Flow data instruction is issued to bottom blowing PLC, control the pressure and flow size of bottom blowing gas.The present application automatically receives argon blowing state molten steel video image continuously according to the need of on-site production, uses intelligent bottom blowing control to automatically distribute argon flow and pressure, ensure that each furnace reaches better bottom blowing stirring effect, give on-site production guidance, reduce production labor intensity.

Description

Technical Field

[0001] This invention belongs to the field of iron and steel smelting technology, specifically relating to a multi-scenario adaptive intelligent bottom-blowing argon gas control method and system. Background Technology

[0002] Throughout the steelmaking section, bottom blowing, either alone or in combination with top blowing, effectively improves the stirring efficiency of the molten pool and enhances the overall efficiency of the steelmaking process. Common bottom blowing gases are argon and nitrogen; except for high-nitrogen steel grades, argon is chosen as the bottom blowing gas for the vast majority of steel grades. Bottom-blown argon is widely used in key metallurgical equipment such as argon blowing stations, AOD furnaces, ladle refining furnaces, and RH furnaces.

[0003] With the development of full automation and intelligence in steel plants, upgrades to existing equipment and the installation of new equipment are frequent occurrences. Consequently, obstructions to the argon blowing observation screen due to limitations in the original equipment installation location, obstructions caused by manual operation during refining, and obstructions introduced by new equipment are common problems on-site. Furthermore, bottom blowing in most ladles is manually adjusted by on-site operators based on visual observation of the stirring within the ladle. Different equipment and process conditions in different ladles lead to variations in bottom blowing intensity, as do the different experiences of post-furnace operators. Therefore, the development, research, and optimization of bottom blowing and stirring systems for specific ladles are of great significance. Summary of the Invention

[0004] To overcome the aforementioned problems in the existing technology, the present invention provides a multi-scenario adaptive intelligent bottom-blowing argon control method and system to solve the aforementioned problems in the existing technology.

[0005] A multi-scenario adaptive intelligent bottom-blowing argon gas control method, the method comprising:

[0006] S1. Obtain the corresponding furnace number and identify the ladle number, and automatically determine the ladle permeability status based on the ladle number;

[0007] S2. After the ladle reaches the working position, receive the ladle setting signal, start blowing argon gas and monitor the molten steel level at the same time;

[0008] S3. Determine whether it is a local molten steel surface or the entire molten steel surface, and use a filling method to make it the entire molten steel ladle surface area;

[0009] S4. Divide the bottom blowing process of the ladle into stages, determine the bottom blowing stirring power for different stages, and determine the bottom blowing argon pressure and / or bottom blowing argon flow rate based on the power;

[0010] S5. Simultaneously monitor the exposed area of ​​molten steel and the height of the slag layer at the exposed edge in the video stream of all continuous infrared imager monitoring during the bottom blowing process of the ladle, and obtain the slag-to-metal ratio based on the exposed area of ​​molten steel and the total exposed area, and adjust the bottom blowing stirring power, bottom blowing gas pressure and bottom blowing gas flow rate based on the slag-to-metal ratio.

[0011] S6. After the composition and temperature of the molten steel meet the conditions for the next process, stop argon blowing and the refining process is completed.

[0012] In addition to the aspects and any possible implementations described above, a further implementation is provided in which the furnace number in S1 is automatically obtained from the production plan, and the ladle number is obtained from the monitoring video installed at the plant where the ladle refining furnace is located.

[0013] In addition to the aspects and any possible implementations described above, a further implementation is provided in which the monitoring of the ladle liquid level in S2 is performed using an infrared imager installed at the plant where the ladle refining furnace is located.

[0014] In addition to the aspects and any possible implementations described above, a further implementation is provided in which the S4 division is performed based on PLC signals acquired by the PLC controller set up in the entire ladle refining furnace equipment.

[0015] In addition to the aspects and any possible implementations described above, a further implementation is provided in which the PLC signals include molten steel weighing signals, molten steel temperature measurement signals, alloy and auxiliary material types and corresponding silo closure status signals in the refining process, electrode heating power and arc length signals, and / or refining wire feeding type and speed signals.

[0016] In addition to the aspects and any possible implementations described above, an implementation is further provided in which the different stages include: deoxidation and removal of inclusions, slag formation and desulfurization of molten steel, mixing of molten steel after alloying, and heating and stirring of molten steel before wire feeding.

[0017] In addition to the aspects described above and any possible implementations, a further implementation is provided in which the slag-to-metal ratio is inversely proportional to the stirring power.

[0018] In addition to the aspects described above and any possible implementation, a further implementation is provided in which the bottom-blown argon flow rate is related to the weight of the molten steel and gravitational acceleration, stirring power, molten steel temperature, argon temperature, bottom pressure of the ladle, and top slag-gold surface pressure.

[0019] In addition to the aspects and any possible implementations described above, a further implementation is provided in which the real-time processing and analysis of the continuous video stream includes: sequentially performing dehazing, grayscale processing, and recoloring on the original high-definition infrared image.

[0020] The present invention also provides a multi-scenario adaptive intelligent bottom-blowing argon control system, the system being used to implement the method described above, the system comprising:

[0021] The acquisition module is used to acquire the corresponding heat number and identify the ladle number, and automatically determine the ladle permeability status based on the ladle number;

[0022] The monitoring module is used to receive the ladle sitting signal after the ladle reaches the working position, start blowing argon gas and monitor the molten steel level at the same time.

[0023] The judgment module is used to determine whether it is a local molten steel surface or the entire molten steel surface, and to fill the entire molten steel surface area completely.

[0024] The segmentation module is used to segment the bottom blowing process of the ladle, determine the bottom blowing stirring power of different stages, and determine the bottom blowing argon pressure and / or bottom blowing argon flow rate based on the power.

[0025] The adjustment module is used to monitor the exposed area of ​​molten steel and the height of the slag layer at the exposed edge in the video stream of the entire monitoring screen of the infrared imager during the bottom blowing process of the ladle. The slag-to-metal ratio is obtained based on the exposed area of ​​molten steel and the total exposed area. The bottom blowing stirring power, bottom blowing gas pressure and bottom blowing gas flow rate are adjusted according to the slag-to-metal ratio.

[0026] The termination module is used to stop argon blowing and end refining once the composition and temperature of the molten steel meet the conditions for the next process.

[0027] Beneficial effects of the present invention

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] This invention designs and builds an online intelligent control method for ladle bottom blowing agitation based on thermal imaging image recognition technology. It combines thermal imaging technology, multi-parameter ladle bottom blowing flow prediction, and practical production experience to ensure process standardization, achieve intelligent control of ladle bottom blowing after the furnace, and achieve better bottom blowing agitation results. This invention also designs and develops a multi-scenario adaptive online intelligent control method for ladle bottom blowing based on thermal imaging temperature measurement technology. It can automatically and continuously receive video images of molten steel under argon blowing conditions with zero delay according to on-site production needs, and automatically fill in the movement of the entire liquid surface area during the argon blowing process using algorithms. Intelligent bottom blowing control automatically distributes argon flow and pressure, ensuring better bottom blowing agitation results in the molten pool, providing on-site production guidance, and reducing production labor intensity. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the method flow of the present invention;

[0031] Figure 2This is a schematic diagram illustrating the effect of using the method of the present invention, wherein (a) is the stopped blowing state; (b) is the soft blowing state; and (c) is the strong blowing state.

[0032] Figure 3 This is a schematic diagram of the bottom blowing flow rate curve of the present invention and the actual bottom blowing flow rate curve. Detailed Implementation

[0033] To better understand the technical solution of this invention, the content of this invention includes, but is not limited to, the specific embodiments described below. Similar technologies and methods should be considered within the scope of protection of this invention. To make the technical problems to be solved, the technical solutions, and advantages of this invention clearer, a detailed description will be provided below in conjunction with the accompanying drawings and specific embodiments.

[0034] It should be understood that the embodiments described in this invention are merely some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without inventive effort are within the scope of protection of this invention.

[0035] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0036] The present invention provides a multi-scenario adaptive intelligent bottom-blowing argon control method, the method comprising:

[0037] S1. Obtain the corresponding furnace number and identify the ladle number, and automatically determine the ladle permeability status based on the ladle number;

[0038] S2. After the ladle reaches the working position, receive the ladle setting signal, start blowing argon gas and monitor the molten steel level at the same time;

[0039] S3. Determine whether it is a local molten steel surface or the entire molten steel surface, and use the method of filling the entire molten steel ladle surface area;

[0040] S4. Divide the bottom blowing process of the ladle into stages, determine the bottom blowing stirring power for different stages, and determine the bottom blowing argon pressure and / or bottom blowing argon flow rate based on the power;

[0041] S5. Monitor the exposed area of ​​molten steel and the height of the slag layer at the exposed edge in the video stream of the continuous infrared imager during the bottom blowing process of the ladle, and obtain the slag-to-metal ratio based on the exposed area of ​​molten steel and the total exposed area, and adjust the bottom blowing stirring power, bottom blowing gas pressure and bottom blowing gas flow rate based on the slag-to-metal ratio.

[0042] S6. After the composition and temperature of the molten steel meet the conditions for the next process, stop argon blowing and the refining process is completed.

[0043] Specifically, such as Figure 1 As shown, the implementation process of this invention is as follows:

[0044] The present invention provides a multi-scenario adaptive intelligent bottom-blowing argon control method, the method comprising:

[0045] 1) Automatically obtain the corresponding furnace number from the production plan containing furnace number, steel type information, and smelting path, and further identify and confirm the ladle number by combining video content collected by factory monitoring cameras around bottom blowing argon equipment such as argon blowing station, AOD furnace, ladle refining furnace, and RH furnace;

[0046] 2) The ladle's air permeability status is automatically determined by querying the existing ladle maintenance information in the factory based on the ladle number;

[0047] 3) After the ladle arrives at the working position, it automatically receives the ladle sitting signal through its own PLC signal sensor, starts bottom blowing argon gas, and the matching infrared thermal imager is turned on and begins to monitor the exposed steel leakage area of ​​the open ladle.

[0048] 4) By using an infrared imager to monitor the edges of the entire image, it is determined whether the molten steel surface is localized or the entire surface. Localized molten steel surfaces are caused by obstructions. The infrared imager uses the position of the slag hole on the surface when the bottom-blown argon is on as the center of the image. The reasons for obstruction include, but are not limited to, image obstruction caused by the original equipment installation location, obstruction caused by human intervention during the refining process, temporary obstruction of the infrared imager's detection area by external equipment, and equipment obstruction caused by subsequent additions. All of these obstructions lead to incomplete observations and deviations in the calculation of argon flow rate. The approximate image region fitting and filling method is used to automatically fill the specific obstructed area in the localized molten steel surface using the surrounding image, that is, the localized molten steel surface is filled into the entire surface, thereby ensuring the integrity of the entire ladle molten steel surface area.

[0049] 5) Under the condition of overall liquid level, the PLC of all refining equipment is connected to the intelligent system. The bottom blowing process of the ladle is divided into stages according to the PLC signals. The argon blowing control model determines the bottom blowing stirring power of different stages according to the metallurgical purpose of different stages, and calculates the bottom blowing gas pressure and bottom blowing gas flow rate based on the stirring power.

[0050] 6) The bottom-blown gas pressure and flow rate calculated based on the stirring power are transmitted to the bottom-blown argon station, AOD furnace, ladle refining furnace, RH furnace and other bottom-blown argon equipment, and the corresponding execution equipment issues instructions to control the actual pressure and flow rate of the bottom-blown gas;

[0051] 7) Monitor the exposed area of ​​molten steel and the height of the slag layer at the exposed edge in the continuous video stream of all monitored images from the infrared imager during the bottom blowing process of the ladle. Analyze the slag-to-gold ratio obtained from the exposed area of ​​the molten steel and the total exposed area in real time. A slag-to-gold ratio that is too high or too low will not meet smelting requirements. Therefore, to ensure good bottom blowing effect, the slag-to-gold ratio is fed back to the argon blowing control model. The slag-to-gold ratio is inversely proportional to the stirring power; the lower the slag-to-gold ratio, the higher the stirring power, requiring an appropriate increase in stirring power. The argon blowing model recalculates and adjusts the bottom blowing stirring power, recalculates the bottom blowing gas pressure and flow rate based on the stirring power, and sends the data back to the bottom blowing argon equipment. The equipment then executes the instructions to adjust the actual pressure and flow rate of the bottom blowing gas.

[0052] 8) After the equipment receives the actual composition and temperature of the molten steel in the furnace and determines that the conditions for the next process are met, argon blowing is stopped, and the ladle car is moved from the working position to the ladle position, thus completing the refining process.

[0053] Preferably, the PLC signals are: molten steel weighing signal, molten steel temperature measurement signal, alloy and auxiliary material type and corresponding silo closure status signal in the refining process, electrode heating power and arc length signal, and refining wire feeding type and speed signal;

[0054] Preferably, the approximate image region fitting and filling specifically involves the following steps: after the ladle enters the working position and receives the ladle-sitting signal, the accompanying infrared thermal imager is activated and begins monitoring the exposed area of ​​the molten steel in the open ladle. The infrared imager uses the location of the slag hole on the liquid surface when bottom blowing argon is on as the center of the image. By monitoring the slag-to-gold ratio in the video stream of the entire monitored image from the infrared imager, the bottom blowing stirring power is dynamically adjusted to ensure reasonable argon pressure and flow rate. Obstructions caused by equipment installation location limitations, human intervention during refining operations, temporary obstruction of the infrared imager's detection area by external equipment, and obstruction caused by subsequent additions of equipment can all lead to incomplete observation, resulting in localized liquid surface areas and deviations in argon flow rate calculations. In such cases, the imager's focal length is automatically adjusted, and the approximate image region fitting and filling algorithm is used to automatically fill the specific obstructed area using surrounding images, ensuring the integrity of the entire ladle liquid surface area.

[0055] Preferably, the bottom blowing process of the ladle is divided into the following stages: deoxidation and inclusion removal, slag formation and molten steel desulfurization, mixing of molten steel after alloying, heating of molten steel and stirring of wire feeding. The formula for calculating the bottom blowing argon flow rate at each stage is as follows:

[0056]

[0057] Where, m steel ε is the weight of the molten steel in the ladle (kg); ε is the stirring power; g is the acceleration due to gravity (9.8 m / s²). 2 ;Tsteel It is the temperature of the molten steel in °C, T Ar It is the temperature of argon gas in °C. P bottom The pressure at the bottom of the ladle is Pa, P top It is the pressure at the top of the gold slag liquid surface (Pa).

[0058] Preferably, the real-time processing and analysis of the continuous video stream includes the following: original high-definition infrared image, original image dehazing, grayscale processing of the dehazed image, and recoloring of the grayscale processed image.

[0059] like Figure 2 As shown, the method of the present invention can accurately identify the slag-gold area under different conditions. For example, in the state of (a) when the blowing is stopped, the bottom blowing argon flow rate is 0, the surface is completely covered by slag, and there is no exposed molten steel area. This state generally corresponds to the start or end of smelting. In the state of (b) when the blowing is soft, the bottom blowing argon flow rate is less than 100 NL / min, and a small part of the molten steel can be seen exposed on the surface. The exposed metal area / total monitored area is <20%. In this state, it is generally used in conjunction with the feeding of calcium wire and aluminum wire to facilitate the rapid melting of the alloy wire into the molten steel. In the state of (c) when the blowing is strong, the exposed area is the largest, and the metal can be seen churning. In this state, the stirring energy is strong, which facilitates the uniform mixing of the temperature and composition of the molten steel.

[0060] like Figure 3 As shown, the actual bottom blowing flow rate on site is continuously plotted as a bottom blowing flow rate curve and the bottom blowing flow rate curve adjusted according to the real-time slag-gold area of ​​the present invention. The bottom blowing argon system is improved according to the slag-gold area ratio and specific functions. The actual bottom blowing argon stage includes deoxidation and removal of inclusions, slag formation and desulfurization of molten steel, mixing of molten steel after alloying, uniformization of molten steel heating temperature, and wire feeding stirring. After using the aforementioned formula (1), the actual value of argon blowing is lower than that of the original, which meets the requirements of bottom blowing stirring, and the deviation between the bottom blowing flow rate calculated by formula (1) and the actual bottom blowing flow rate set on site is not large, proving that it is usable. Subsequently, combined with the thermal imaging ladle monitoring, the slag-gold ratio calculated according to the real-time bottom blowing status of the ladle can meet the on-site operation requirements and truly realize the online intelligent control of ladle bottom blowing.

[0061] As an embodiment of the present invention, the present invention also provides a multi-scenario adaptive intelligent bottom-blowing argon gas control system, the system being used to implement the method described, the system comprising:

[0062] The acquisition module is used to acquire the corresponding heat number and identify the ladle number, and automatically determine the ladle permeability status based on the ladle number;

[0063] The monitoring module is used to receive the ladle sitting signal after the ladle reaches the working position, start blowing argon gas and monitor the molten steel level at the same time.

[0064] The judgment module is used to determine whether it is a local molten steel surface or the entire molten steel surface, and to fill the entire molten steel surface area completely.

[0065] The segmentation module is used to segment the bottom blowing process of the ladle, determine the bottom blowing stirring power of different stages, and determine the bottom blowing argon pressure and / or bottom blowing argon flow rate based on the power.

[0066] The adjustment module is used to monitor the exposed area of ​​molten steel and the height of the slag layer at the exposed edge in the video stream of the entire monitoring screen of the infrared imager during the bottom blowing process of the ladle. The slag-to-metal ratio is obtained based on the exposed area of ​​molten steel and the total exposed area. The bottom blowing stirring power, bottom blowing gas pressure and bottom blowing gas flow rate are adjusted according to the slag-to-metal ratio.

[0067] The termination module is used to stop argon blowing and end refining once the composition and temperature of the molten steel meet the conditions for the next process.

[0068] The foregoing description illustrates and describes several preferred embodiments of the present invention. However, as previously stated, it should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the inventive concept described herein through the foregoing teachings or techniques or knowledge in related fields. Any modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. A multi-scenario adaptive intelligent bottom-blowing argon gas control method, characterized in that, The method includes: S1. Obtain the corresponding furnace number and identify the ladle number, and automatically determine the ladle permeability status based on the ladle number; S2. After the ladle reaches the working position, receive the ladle setting signal, start blowing argon gas and monitor the molten steel level at the same time. The monitoring of the molten steel level is performed by an infrared imager installed in the factory where the ladle refining furnace is located. S3. Determine whether the molten steel surface is localized or overall. If it is localized, it is caused by obstruction. Use an approximate image region fitting and filling method to automatically fill the specific obstructed area in the localized molten steel surface with the surrounding image, that is, the localized molten steel surface is filled into the overall molten steel surface, thereby ensuring the integrity of the entire ladle molten steel surface area. The approximate image region fitting and filling method is as follows: after the ladle enters the working position and receives the ladle sitting signal, the matching infrared thermal imager is turned on and begins to monitor the exposed molten steel area of ​​the open ladle. The infrared imager uses the position of the slag hole on the molten steel surface when the bottom blowing argon is turned on as the center of the screen. By monitoring the slag-to-metal ratio in the video stream of the entire monitored screen of the infrared imager, the bottom blowing stirring power is dynamically adjusted. S4. Divide the bottom blowing process of the ladle into stages, determine the bottom blowing stirring power for different stages, and determine the bottom blowing argon pressure and / or bottom blowing argon flow rate based on the power; S5. Monitor the exposed area of ​​molten steel and the height of the slag layer at the exposed edge in the video stream of the entire monitoring screen of the infrared imager during the bottom blowing process of the ladle, and obtain the slag-to-metal ratio based on the exposed area of ​​molten steel and the total exposed area. Adjust the bottom blowing stirring power, bottom blowing gas pressure and bottom blowing gas flow rate based on the slag-to-metal ratio. The slag-to-metal ratio is inversely proportional to the stirring power. S6. After the composition and temperature of the molten steel meet the conditions for the next process, stop argon blowing and the refining process is completed; The formula for calculating the bottom-blown argon flow rate at each stage of real-time control is as follows: （1） Where, m steel The weight of the molten steel in the ladle is in kg. Stirring power; g is the acceleration due to gravity, 9.8 m / s². 2 ;T steel It is the temperature of the molten steel in °C, T Ar It is the temperature of argon gas in °C, P bottom The pressure at the bottom of the ladle is Pa, P top It is the pressure at the top of the gold slag liquid surface (Pa).

2. The multi-scenario adaptive intelligent bottom-blowing argon control method according to claim 1, characterized in that, The furnace number in S1 is automatically obtained from the production plan, and the ladle number is obtained from the monitoring video installed in the factory where the ladle refining furnace is located.

3. The multi-scenario adaptive intelligent bottom-blowing argon control method according to claim 1, characterized in that, The S4 division is based on the PLC signals collected by the PLC controller set up for the entire ladle refining furnace equipment.

4. The multi-scenario adaptive intelligent bottom-blowing argon control method according to claim 3, characterized in that, The PLC signals include molten steel weighing signals, molten steel temperature measurement signals, alloy and auxiliary material types in the refining process and corresponding silo closure status signals, electrode heating power and arc length signals, and / or refining wire feeding type and speed signals.

5. The multi-scenario adaptive intelligent bottom-blowing argon control method according to claim 1, characterized in that, The different stages include: deoxidation and removal of inclusions, slag formation and desulfurization of molten steel, mixing of molten steel after alloying, and heating and stirring of molten steel before wire feeding.

6. The multi-scenario adaptive intelligent bottom-blowing argon control method according to claim 1, characterized in that, The real-time processing and analysis of all monitored video streams from the continuous infrared imager includes: sequentially performing defogging, grayscale processing, and recoloring on the original high-definition infrared images.

7. A multi-scenario adaptive intelligent bottom-blowing argon gas control system, characterized in that, The system is used to implement the method according to any one of claims 1-6, the system comprising: The acquisition module is used to acquire the corresponding heat number and identify the ladle number, and automatically determine the ladle permeability status based on the ladle number; The monitoring module is used to receive the ladle sitting signal after the ladle reaches the working position, start blowing argon gas and monitor the molten steel level at the same time. The judgment module is used to determine whether it is a local molten steel surface or the entire molten steel surface. If it is a local molten steel surface, a filling method is used to make it become the entire molten steel ladle surface area. The segmentation module is used to segment the bottom blowing process of the ladle, determine the bottom blowing stirring power of different stages, and determine the bottom blowing argon pressure and / or bottom blowing argon flow rate based on the power. The adjustment module is used to monitor the exposed area of ​​molten steel and the height of the slag layer at the exposed edge in the video stream of the entire monitoring screen of the infrared imager during the bottom blowing process of the ladle. The slag-to-metal ratio is obtained based on the exposed area of ​​molten steel and the total exposed area. The bottom blowing stirring power, bottom blowing gas pressure and bottom blowing gas flow rate are adjusted according to the slag-to-metal ratio. The termination module is used to stop argon blowing and end refining once the composition and temperature of the molten steel meet the conditions for the next process.

Images