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

Abstract

The invention relates to a multi-scene self-adaptive intelligent bottom argon blowing control method and system. The method comprises the steps that after a steel ladle reaches a working position, the air permeability is determined, a ladle setting signal is received, argon blowing is started, an infrared thermal imager is started to monitor a picture to judge the liquid steel level, and the liquid level area of the whole steel ladle is completely filled; pLC (Programmable Logic Controller) of all equipment in the whole refining process is intelligently linked, the bottom blowing stirring power is determined, the bottom blowing gas pressure and the bottom blowing gas flow are calculated, and relevant parameters such as the exposed area and the exposed edge slag layer height of molten steel in a continuous video stream are tracked and calculated in real time according to the metallurgical purpose of different stages, so that the bottom blowing control is further optimized; and a flow data instruction is issued to a bottom blowing PLC to control the pressure and flow of bottom blowing gas. According to the requirements of field production, video images of molten steel in the argon blowing state are automatically and continuously received in a zero-delay mode, the argon flow and pressure are automatically distributed through intelligent bottom blowing control, it is guaranteed that each furnace achieves the good bottom blowing stirring effect, field production is guided, and the production labor intensity is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of steel smelting, and specifically relates to a multi-scenario adaptive intelligent bottom blowing argon control method and system. Background Art

[0002] In the entire steelmaking section, the bottom blowing system alone or in combination with top blowing to form top and bottom combined blowing effectively improves the stirring efficiency of the molten pool and the working efficiency of the steelmaking process. Common bottom blowing gases are argon and nitrogen. Except for high-nitrogen steel grades, most steel grades choose argon as the bottom blowing gas. Bottom blowing 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 mills, the upgrade of existing equipment and installation of new equipment in steel mills are common. Therefore, the obstruction of argon blowing observation screen caused by the limitation of the installation position of the original equipment, the obstruction caused by manual operation during the refining operation, and the obstruction caused by the new equipment are common problems on site. In addition, most of the bottom blowing of the ladle is manually adjusted by the on-site operators through visual observation of the stirring conditions in the ladle. The equipment and process conditions of different ladles will lead to different bottom blowing intensities of the ladle, and the different experiences of different operators behind the furnace will also lead to different bottom blowing intensities of the ladle. Therefore, it is of great significance to develop, research and optimize the bottom blowing stirring system of a specific ladle. Summary of the invention

[0004] In order to overcome the above problems existing in the prior art, the present invention provides a multi-scenario adaptive intelligent bottom blowing argon control method and system, which are used to solve the above problems existing in the prior art.

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

[0006] S1. Obtain the corresponding furnace number and identify and confirm the ladle number, and automatically determine the ladle permeability state according to the ladle number;

[0007] S2. After the ladle reaches the working position, it receives the ladle sitting signal, starts blowing argon and monitors the steel liquid level at the same time;

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

[0009] S4. Divide the ladle bottom blowing process stage, determine the bottom blowing stirring power at different stages, determine the bottom blowing argon pressure and / or bottom blowing argon flow rate according to the power;

[0010] S5. At the same time, the infrared imager continuously monitors the exposed area of ​​the molten steel and the height of the exposed edge slag layer in the video stream of the ladle bottom blowing process, and obtains the slag-metal ratio according to the exposed area of ​​the molten steel and the total exposed area, and adjusts the bottom blowing stirring power and the bottom blowing gas pressure and the bottom blowing gas flow rate according to the slag-metal ratio;

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

[0012] According to the above aspects and any possible implementation, an implementation is further provided, wherein the furnace number in S1 is automatically obtained from the production plan, and the ladle number is obtained based on the monitoring video installed in the factory where the ladle refining furnace is located.

[0013] According to the above aspects and any possible implementation, there is further provided an implementation, wherein the monitoring of the ladle liquid level in S2 is performed using an infrared imager installed in the factory where the ladle refining furnace is located.

[0014] According to the above aspects and any possible implementation, there is further provided an implementation, wherein the S4 division is performed based on a PLC signal collected by a PLC controller provided in the entire ladle refining furnace equipment.

[0015] According to the aspects described above and any possible implementation method, an implementation method is further provided, wherein the PLC signal includes a molten steel weighing signal, a molten steel temperature measurement signal, the type of alloy and auxiliary materials in the refining process and the corresponding silo closing state signal, an electrode heating power and arc length signal and / or a refining feeding wire type and speed signal.

[0016] According to the aspects and any possible implementation methods described above, an implementation method is further provided, wherein the different stages include: deoxidation and removal of inclusions, slag making and desulfurization of molten steel, mixing of molten steel after alloying, heating and raising the temperature of molten steel, and wire feeding and stirring stages.

[0017] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein the slag-to-metal ratio is inversely proportional to the stirring power.

[0018] According to the aspects described above and any possible implementation method, an implementation method is further provided, wherein the bottom blowing argon flow rate is related to the weight of the molten steel and the gravitational acceleration, stirring power, molten steel temperature, argon temperature, ladle bottom pressure and top slag metal liquid surface pressure.

[0019] According to the aspects described above and any possible implementation method, an implementation method is further provided, wherein the real-time processing and analysis of the continuous video stream includes: sequentially performing dehazing and grayscale processing on the original high-definition infrared image and recoloring the grayscale processed image.

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

[0021] An acquisition module is used to acquire the corresponding furnace number and identify and confirm the ladle number, and automatically determine the ladle permeability state according to 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 steel liquid level at the same time;

[0023] A judgment module is used to judge whether it is a local molten steel page or the entire liquid surface, and to fill the entire ladle liquid surface area;

[0024] A division module is used to divide the ladle bottom blowing process stages, determine the bottom blowing stirring power at different stages, and determine the bottom blowing argon pressure and / or the bottom blowing argon flow rate according to the power;

[0025] An 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 continuous infrared imager monitoring video stream of the ladle bottom blowing process, and obtain the slag-metal ratio according to 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 according to the slag-metal ratio;

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

[0027] Beneficial Effects of the Invention

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

[0029] The present invention designs and builds an online intelligent control method for ladle bottom blowing and stirring based on thermal imaging image recognition technology, which combines thermal imaging technology, multi-parameter ladle bottom blowing flow prediction and actual production experience, ensures the standardization of the process, realizes the intelligent control of the ladle bottom blowing after the furnace, and achieves a better bottom blowing and stirring effect. The present invention designs and develops a multi-scenario adaptive ladle bottom blowing online intelligent control method based on thermal imaging temperature measurement technology, which can automatically and continuously receive video images of molten steel in the argon blowing state with zero delay according to the needs of on-site production, and automatically fills in the movement of the entire liquid surface area during the argon blowing process using an algorithm, and uses intelligent bottom blowing control to automatically distribute argon flow and pressure, ensuring a better bottom blowing and stirring effect in the smelting pool, providing on-site production guidance, and reducing production labor intensity. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0031] Figure 2Schematic diagram of the use effect of the method of the present invention, wherein (a) is the stop blowing state; (b) is the soft blowing state; (c) is the strong blowing state;

[0032] Figure 3 It is a schematic diagram of the bottom blowing flow curve of the present invention and the actual bottom blowing flow curve. DETAILED DESCRIPTION

[0033] In order to better understand the technical solution of the present invention, the content of the present invention includes but is not limited to the specific implementation methods below, and similar technologies and methods should be considered within the scope of protection of the present invention. In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0034] It should be clear that the embodiments described in the present invention are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0036] A multi-scenario adaptive intelligent bottom blowing argon control method of the present invention comprises:

[0037] S1. Obtain the corresponding furnace number and identify and confirm the ladle number, and automatically determine the ladle permeability state according to the ladle number;

[0038] S2. After the ladle reaches the working position, it receives the ladle sitting signal, starts blowing argon and monitors the steel liquid level at the same time;

[0039] S3. Determine whether it is a local molten steel page or the overall liquid surface, and use it to fill the entire ladle liquid surface area;

[0040] S4. Divide the ladle bottom blowing process stage, determine the bottom blowing stirring power at different stages, determine the bottom blowing argon pressure and / or bottom blowing argon flow rate according to the power;

[0041] S5. The infrared imager continuously monitors the exposed area of ​​the molten steel and the height of the exposed edge slag layer in the video stream of the entire monitoring screen of the ladle bottom blowing process, and obtains the slag-to-metal ratio according to the exposed area of ​​the molten steel and the total exposed area, and adjusts the bottom blowing stirring power and the bottom blowing gas pressure and the bottom blowing gas flow rate according to the slag-to-metal ratio;

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

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

[0044] A multi-scenario adaptive intelligent bottom blowing argon control method of the present invention comprises:

[0045] 1). Automatically obtain the corresponding furnace number from the production plan including furnace number, steel grade information, and smelting path, and identify and confirm the ladle number again in combination with the video content collected by the factory monitoring cameras around the bottom argon blowing equipment such as argon blowing station, AOD furnace, ladle refining furnace, RH furnace, etc.;

[0046] 2). Automatically query and determine the ladle permeability status in the existing ladle maintenance information in the factory according to the ladle number;

[0047] 3). After the ladle reaches the working position, it automatically receives the ladle sitting signal through its own PLC signal sensor, starts to blow argon gas from the bottom, and starts to monitor the exposed area of ​​the open ladle for molten steel leakage with the matching infrared thermal imager;

[0048] 4). The infrared imager monitors the edge of the entire screen to see if there is an obvious difference between hot and cold images to determine whether it is a local steel liquid surface or an overall liquid surface. The local liquid surface is caused by obstruction. The infrared imager uses the liquid surface display slag eye position in the bottom argon blowing state as the center of the screen for calibration. The reasons for the obstruction include but are not limited to the screen obstruction caused by the limitation of the original equipment installation position, the artificial obstruction during the refining operation, the temporary obstruction of the infrared imager detection area by external equipment, and the equipment obstruction caused by the subsequent new equipment. These obstructions all lead to incomplete observations and deviations in the calculation of argon flow. The specific obstructed area in the local liquid surface is automatically filled with the surrounding image using the approximate image area fitting filling method, that is, the local liquid surface is filled into the overall liquid surface, thereby ensuring the integrity of the entire ladle liquid surface area;

[0049] 5). Under the condition of overall liquid level, all PLCs of the entire refining equipment are intelligently connected, and the ladle bottom blowing process stages are divided according to PLC signals. The argon blowing control model determines the bottom blowing stirring power at different stages according to the metallurgical purposes of different stages, and calculates the bottom blowing gas pressure and bottom blowing gas flow rate according to the stirring power;

[0050] 6). The bottom blowing gas pressure and bottom blowing gas flow calculated according to the stirring power are transmitted to the bottom blowing argon equipment such as the argon blowing station, AOD furnace, ladle refining furnace, RH furnace, etc. The corresponding execution equipment issues instructions to control the actual bottom blowing gas pressure and flow;

[0051] 7). The exposed area of ​​molten steel and the height of the slag layer at the exposed edge in the continuous video stream of all the continuous infrared imager monitoring screens during the ladle bottom blowing process are monitored, and the slag-to-metal ratio obtained based on the exposed area of ​​molten steel and the total exposed area is processed and analyzed in real time. A slag-to-metal ratio that is too large or too small does not meet the smelting requirements. Therefore, in order to ensure a good bottom blowing effect, the slag-to-metal ratio is fed back to the argon blowing control model. The slag-to-metal ratio is inversely proportional to the stirring power. The smaller the slag-to-metal ratio, the greater the stirring power. The stirring power needs to be appropriately increased. The argon blowing model recalculates and adjusts the bottom blowing stirring power. The bottom blowing gas pressure and bottom blowing gas flow are calculated again according to the stirring power and sent to the bottom argon blowing equipment again. The execution equipment sends instructions to adjust the actual bottom blowing gas pressure and flow rate;

[0052] 8). After the execution 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, the argon blowing is stopped, and the ladle car is moved from the working position to the ladle hanging position, and the refining is completed.

[0053] Preferably, the PLC signal is specifically: a molten steel weighing signal, a molten steel temperature measurement signal, a type of alloy and auxiliary material in the refining process and a corresponding silo closing state signal, an electrode heating power and arc length signal, and a refining wire feeding type and speed signal;

[0054] Preferably, the approximate image area fitting filling is specifically that after the ladle enters the working position and receives the ladle sitting signal, the matching infrared thermal imager is turned on and starts to monitor the exposed area of ​​the open ladle steel liquid. The infrared imager uses the slag eye position displayed on the liquid surface when the bottom argon blowing is turned on as the center of the screen. By monitoring the slag-to-metal ratio in the video stream of all monitoring screens of the infrared imager, the bottom blowing stirring power is dynamically adjusted to ensure reasonable argon pressure and flow. The screen occlusion caused by the limitation of the equipment installation position, the occlusion caused by the artificial occlusion during the refining operation, the temporary occlusion of the infrared imager detection area by external equipment, and the equipment occlusion caused by the subsequent new equipment will all lead to incomplete observation, the appearance of local liquid surface and the deviation of argon flow calculation. At this time, the focal length of the imager is automatically adjusted and the specific occluded area is automatically filled with the surrounding image by using the approximate image area fitting filling algorithm to ensure that the entire ladle liquid surface area is complete.

[0055] Preferably, the ladle bottom blowing process is divided into the following stages: deoxidation and removal of inclusions, slag making and desulfurization of molten steel, mixing of molten steel after alloying, heating of molten steel and stirring of wire feeding. The bottom blowing argon flow rate is controlled in real time. The calculation formula for the bottom blowing argon flow rate at each stage is:

[0056]

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

[0058] Preferably, the real-time processing and analysis of the continuous video stream includes the following contents: original high-definition infrared image, defogging of the original image, grayscale processing of the defogging 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 metal area under different conditions. For example, in the stop blowing state shown in (a), the bottom blowing argon gas flow rate is 0, the surface is completely covered with slag layers, and there is no exposed molten steel area. This state generally corresponds to the beginning or end of smelting; in the soft blowing state shown in (b), the bottom blowing argon gas flow rate is less than 100NL / min, and a small part of the molten steel can be seen exposed on the surface, and the metal exposed area / total monitoring area is <20%. In this state, the calcium wire and aluminum wire feeding equipment are generally used to feed the alloy wire to melt quickly into the molten steel; in the strong blowing state shown in (c), the exposed area is the largest, and the metal can be seen tumbling. In this state, the stirring energy is convenient for the molten steel temperature and composition to be mixed evenly;

[0060] like Figure 3 As shown, the actual bottom blowing flow rate on site is continuously plotted into a bottom blowing flow rate curve and a bottom blowing flow rate curve obtained by adjusting the present invention according to the real-time slag-metal area situation. The improvement of the bottom blowing argon system is achieved according to the slag-metal area ratio and the specific functions. The actual bottom argon blowing stage includes deoxidation and removal of inclusions, slag making and molten steel desulfurization, molten steel mixing after alloying, molten steel heating and temperature uniformization, and wire feeding and stirring. After using the aforementioned formula (1), it is lower than the original actual value of argon blowing, which meets the requirements of bottom blowing and stirring, and the bottom blowing flow rate calculated by formula (1) and the actual bottom blowing flow rate set on site have little deviation, which proves to be applicable. The slag-metal ratio calculated according to the real-time bottom blowing status of the ladle in combination with thermal imaging ladle monitoring can meet the on-site operation requirements and truly realize the online intelligent control of the ladle bottom blowing.

[0061] As an embodiment disclosed in the present invention, the present invention also provides a multi-scenario adaptive intelligent bottom blowing argon control system, the system is used to implement the method, the system includes:

[0062] An acquisition module is used to acquire the corresponding furnace number and identify and confirm the ladle number, and automatically determine the ladle permeability state according to 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 steel liquid level at the same time;

[0064] A judgment module is used to judge whether it is a local molten steel page or the entire liquid surface, and to fill the entire ladle liquid surface area;

[0065] A division module is used to divide the ladle bottom blowing process stages, determine the bottom blowing stirring power at different stages, and determine the bottom blowing argon pressure and / or the bottom blowing argon flow rate according to the power;

[0066] An 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 continuous infrared imager monitoring video stream of the ladle bottom blowing process, and obtain the slag-metal ratio according to 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 according to the slag-metal ratio;

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

[0068] The above description shows and describes several preferred embodiments of the present invention, but as mentioned above, it should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the application concept described herein through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art shall not depart from the spirit and scope of the present invention, and shall be within the scope of protection of the claims attached to the present invention.

Claims

1. A multi-scenario adaptive intelligent bottom blowing argon control method, characterized in that: The method comprises: S1. Obtain the corresponding furnace number and identify and confirm the ladle number, and automatically determine the ladle permeability state according to the ladle number; S2. After the ladle reaches the working position, it receives the ladle sitting signal, starts blowing argon and monitors the steel liquid level at the same time; S3. Determine whether it is a local molten steel surface or an overall liquid surface, and adopt a filling method to make it the entire ladle liquid surface area; S4. Divide the ladle bottom blowing process stage, determine the bottom blowing stirring power at different stages, determine the bottom blowing argon pressure and / or bottom blowing argon flow rate according to the power; S5. The infrared imager continuously monitors the exposed area of ​​the molten steel and the height of the exposed edge slag layer in the video stream of the entire monitoring screen of the ladle bottom blowing process, and obtains the slag-to-metal ratio according to the exposed area of ​​the molten steel and the total exposed area, and adjusts the bottom blowing stirring power and the bottom blowing gas pressure and the bottom blowing gas flow rate according to the slag-to-metal ratio; S6. After the composition and temperature of the molten steel meet the conditions for the next process, stop blowing argon and the refining is completed.

2. The multi-scenario adaptive intelligent bottom blowing argon control method according to claim 1 is characterized in that: The furnace number in S1 is automatically obtained from the production plan, and the ladle number is obtained based on 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 is characterized in that: The monitoring of the ladle liquid level in S2 is performed by using an infrared imager installed in the factory where the ladle refining furnace is located.

4. The multi-scenario adaptive intelligent bottom blowing argon control method according to claim 1 is characterized in that: The S4 division is performed according to the PLC signal collected by the PLC controller provided in the entire ladle refining furnace equipment.

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

6. The multi-scenario adaptive intelligent bottom blowing argon control method according to claim 1 is characterized in that: The different stages include: deoxidation and removal of inclusions, slag making and desulfurization of molten steel, mixing of molten steel after alloying, heating and raising the temperature of molten steel, and feeding and stirring stages.

7. The multi-scenario adaptive intelligent bottom blowing argon control method according to claim 1 is characterized in that: The slag-to-metal ratio is inversely proportional to the stirring power.

8. The multi-scenario adaptive intelligent bottom blowing argon control method according to claim 1 is characterized in that: The bottom blowing argon flow rate is related to the weight of the molten steel and the acceleration of gravity, the stirring power, the temperature of the molten steel, the temperature of the argon, the pressure at the bottom of the ladle and the pressure of the slag metal surface at the top.

9. The multi-scenario adaptive intelligent bottom blowing argon control method according to claim 1, characterized in that: The real-time processing and analysis of the continuous video stream includes: sequentially performing defogging and grayscale processing on the original high-definition infrared image and recoloring the grayscale processed image.

10. A multi-scenario adaptive intelligent bottom blowing argon control system, characterized in that: The system is used to implement the method according to any one of claims 1 to 9, and the system comprises: An acquisition module is used to acquire the corresponding furnace number and identify and confirm the ladle number, and automatically determine the ladle permeability state according to 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 steel liquid level at the same time; A judgment module is used to judge whether it is a local molten steel page or the entire liquid surface, and to fill the entire ladle liquid surface area; A division module is used to divide the ladle bottom blowing process stages, determine the bottom blowing stirring power at different stages, and determine the bottom blowing argon pressure and / or the bottom blowing argon flow rate according to the power; An 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 continuous infrared imager monitoring video stream of the ladle bottom blowing process, and obtain the slag-metal ratio according to 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 according to the slag-metal ratio; The end module is used to stop blowing argon and end refining after the composition and temperature of the molten steel meet the conditions of the next process.

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