Molten steel vacuum dehydrogenation prediction method and device

By obtaining the weight of the molten steel, the initial hydrogen content and the target hydrogen content, and using the waste gas flow and hydrogen content to generate a real-time hydrogen content model, the problem of hydrogen content control in RH vacuum refining is solved, and the accurate dehydrogenation time and hydrogen content control is achieved, which reduces the Production cost.

CN119132437APending Publication Date: 2024-12-13MCC CAPITAL ENGINEERING & RESEARCH INC LTD
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Patent Information

Application Number
CN202411218976.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-02
Publication Date
2024-12-13

AI Technical Summary

Technical Problem

The existing RH vacuum refining process cannot detect the hydrogen content of molten steel in real time, resulting in too long dehydrogenation time or increased cost. The existing analysis methods have low accuracy and cannot effectively control the hydrogen content of molten steel.

Method used

By obtaining the weight of the molten steel, the initial hydrogen content and the target hydrogen content, using the waste gas flow and hydrogen content to generate real-time hydrogen content, constructing and correcting the hydrogen content model, determining whether the dehydrogenation treatment is stopped, and accurate control is achieved.

Benefits of technology

The vacuum treatment cycle is shortened, production costs are reduced, and the accuracy of hydrogen content control is improved, avoiding the problem of inaccurate dehydrogenation rate caused by variable factors.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a molten steel vacuum dehydrogenation prediction method and device which can be used in the technical field of steelmaking, and the method comprises the steps that the molten steel weight, the initial molten steel hydrogen content and the target molten steel hydrogen content are obtained, and the waste gas flow and the waste gas hydrogen content are obtained after vacuum dehydrogenation treatment is started; according to the molten steel weight, the initial molten steel hydrogen content, the waste gas flow and the waste gas hydrogen content, the real-time molten steel hydrogen content is generated; and whether vacuum dehydrogenation treatment is stopped or not is judged according to the real-time molten steel hydrogen content and the target molten steel hydrogen content. According to the molten steel vacuum dehydrogenation prediction method and device, the vacuum dehydrogenation time and the hydrogen content of the molten steel are accurately controlled, the vacuum treatment period is shortened, and the production cost is reduced.
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Description

Technical Field

[0001] The present application relates to the technical field of steelmaking, and in particular to a method and device for predicting vacuum dehydrogenation of molten steel. Background Art

[0002] The RH method is a vacuum cycle degassing method. The degassing treatment of RH vacuum refining can significantly reduce the hydrogen content of molten steel and improve the quality of molten steel. It is suitable for the production of ultra-pure steels such as pipeline steel and bearing steel. During the RH vacuum refining process, since it is impossible to detect the hydrogen content in real time, in order to control the final hydrogen content of molten steel to meet the product target requirements, the RH vacuum dehydrogenation time of general steel mills is much longer than the actual dehydrogenation time required, or a hydrogen meter is used to measure the hydrogen content of molten steel during the dehydrogenation process, and the cost of measuring the hydrogen content of molten steel by a hydrogen meter is relatively high. Therefore, the above operation method will increase production costs, or the production rhythm requirements cannot be met due to the long processing time.

[0003] In the prior art, vacuum dehydrogenation is analyzed in the following two ways:

[0004] One is to quantitatively evaluate the relationship between the hydrogen content of molten steel and the RH process time by studying the process factors that affect the vacuum dehydrogenation effect of the RH refining furnace, such as the gas flow rate and the insertion depth of the immersion tube. The calculation model is derived from experimental data and theoretical formulas. However, the dehydrogenation process in actual production is affected by many factors, and the influencing factors are complex and changeable. At the same time, other factors (such as molten steel temperature, composition and vacuum pressure, etc.) cannot be evaluated, resulting in low actual prediction accuracy.

[0005] The other method is to predict the gas and other components in the molten steel. The theoretical formula is used to calculate the hydrogen content during the dehydrogenation process, and the parameters of the hydrogen surface renewal rate and mass transfer coefficient are cited. However, it is also subject to the accuracy of the theoretical formula and the variability of the factors affecting dehydrogenation, which can easily lead to low accuracy in calculating the real-time hydrogen content in the molten steel. Summary of the invention

[0006] In view of the problems in the prior art, the embodiments of the present application provide a method and device for predicting vacuum dehydrogenation of molten steel, which can at least partially solve the problems in the prior art.

[0007] In a first aspect, the present application provides a method for predicting molten steel vacuum dehydrogenation, comprising:

[0008] Obtaining the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel and obtaining the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment;

[0009] Generate a real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0010] Whether to stop the vacuum dehydrogenation treatment is determined according to the real-time molten steel hydrogen content and the target molten steel hydrogen content.

[0011] Further, the generating of the real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content includes:

[0012] Constructing a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0013] The real-time molten steel hydrogen content is calculated using the molten steel hydrogen content generation model.

[0014] Further, the generating of the real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content includes:

[0015] Constructing a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0016] Correcting the molten steel hydrogen content generation model using a pre-generated correction coefficient;

[0017] The real-time molten steel hydrogen content is calculated using the revised molten steel hydrogen content generation model.

[0018] Further, the step of pre-generating the correction coefficient includes:

[0019] Obtaining historical heat data; the historical heat data includes the number of historical heats, the measured value of hydrogen content in molten steel, and the generated value of hydrogen content in molten steel;

[0020] The correction coefficient is generated according to the number of historical furnaces, the measured value of the hydrogen content in the molten steel and the generated value of the hydrogen content in the molten steel.

[0021] Further, judging whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content includes:

[0022] When the real-time molten steel hydrogen content is not greater than the target molten steel hydrogen content, it is determined to stop the vacuum dehydrogenation process.

[0023] In a second aspect, the present application provides a molten steel vacuum dehydrogenation prediction device, comprising:

[0024] A data acquisition unit, used to acquire the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel and to acquire the waste gas flow rate and the waste gas hydrogen content after the vacuum dehydrogenation treatment begins;

[0025] A hydrogen content generating unit, used for generating a real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0026] A condition judgment unit is used to judge whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content.

[0027] Further, the hydrogen content generating unit comprises:

[0028] A first model generation module is used to construct a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0029] The first hydrogen content calculation module is used to calculate the real-time molten steel hydrogen content by using the molten steel hydrogen content generation model.

[0030] Further, the hydrogen content generating unit comprises:

[0031] A second model generation module is used to construct a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0032] A model correction module, used to correct the molten steel hydrogen content generation model using a pre-generated correction coefficient;

[0033] The second hydrogen content calculation module is used to calculate the real-time molten steel hydrogen content by using the revised molten steel hydrogen content generation model.

[0034] Furthermore, it also includes:

[0035] A historical data acquisition unit, used to acquire historical heat data; the historical heat data includes the number of historical heats, the measured value of the hydrogen content in the molten steel, and the generated value of the hydrogen content in the molten steel;

[0036] A correction coefficient generating unit is used to generate the correction coefficient according to the number of historical furnaces, the measured value of the hydrogen content in the molten steel and the generated value of the hydrogen content in the molten steel.

[0037] Furthermore, the condition judgment unit includes:

[0038] The condition judgment module is used to determine to stop the vacuum dehydrogenation treatment when the real-time molten steel hydrogen content is not greater than the target molten steel hydrogen content.

[0039] In a third aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any one of the above embodiments when executing the computer program.

[0040] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any of the above embodiments is implemented.

[0041] In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a computer program, and when the computer program is executed by a processor, the method described in any of the above embodiments is implemented.

[0042] The method and device for predicting the vacuum dehydrogenation of molten steel provided by the present application obtain the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel, and obtain the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment; generate the real-time hydrogen content of molten steel according to the weight of molten steel, the initial hydrogen content of molten steel, the waste gas flow rate and the waste gas hydrogen content; determine whether to stop the vacuum dehydrogenation treatment according to the real-time hydrogen content of molten steel and the target hydrogen content of molten steel, thereby achieving accurate control of the vacuum dehydrogenation time and the hydrogen content of molten steel, shortening the vacuum treatment cycle and reducing production costs. Among them, by generating the real-time hydrogen content of molten steel according to the weight of molten steel, the initial hydrogen content of molten steel, the waste gas flow rate and the waste gas hydrogen content, the problem of inaccurate dehydrogenation rate caused by uncontrollable factors affecting dehydrogenation can be avoided; by using the pre-generated correction coefficient to correct the molten steel hydrogen content generation model, the generation result can be made more accurate, which is conducive to accurately controlling the vacuum dehydrogenation time and the hydrogen content of molten steel. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 It is a schematic flow chart of a method for predicting vacuum dehydrogenation of molten steel provided in one embodiment of the present application;

[0045] Figure 2 It is a schematic flow chart of a method for predicting vacuum dehydrogenation of molten steel provided in one embodiment of the present application;

[0046] Figure 3 It is a schematic flow chart of a method for predicting vacuum dehydrogenation of molten steel provided in one embodiment of the present application;

[0047] Figure 4 It is a schematic flow chart of a method for predicting vacuum dehydrogenation of molten steel provided in one embodiment of the present application;

[0048] Figure 5It is a structural schematic diagram of a molten steel vacuum dehydrogenation prediction device provided in one embodiment of the present application;

[0049] Figure 6 It is a structural schematic diagram of a molten steel vacuum dehydrogenation prediction device provided in one embodiment of the present application;

[0050] Figure 7 It is a structural schematic diagram of a molten steel vacuum dehydrogenation prediction device provided in one embodiment of the present application;

[0051] Figure 8 It is a structural schematic diagram of a molten steel vacuum dehydrogenation prediction device provided in one embodiment of the present application;

[0052] Fig. 9 It is a structural schematic diagram of a molten steel vacuum dehydrogenation prediction device provided in one embodiment of the present application;

[0053] Fig.10 is a schematic diagram of the physical structure of an electronic device provided in one embodiment of the present application;

[0054] Fig.11 It is a schematic structural diagram of an RH vacuum dehydrogenation system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. Here, the illustrative embodiments of the present application and their descriptions are used to explain the present application, but are not intended to limit the present application. It should be noted that, in the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

[0056] The following uses the server as an example of the execution subject to illustrate the specific implementation process of the molten steel vacuum dehydrogenation prediction method provided in the embodiment of the present application.

[0057] Figure 1 FIG. 1 is a flow chart of a method for predicting vacuum dehydrogenation of molten steel provided in an embodiment of the present application. Figure 1 As shown, the method for predicting molten steel vacuum dehydrogenation provided by the present application includes:

[0058] S101: obtaining the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel and obtaining the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment;

[0059] S102: generating a real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0060] S103: Determine whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content.

[0061] from Figure 1 It can be seen from the process shown that the method for predicting vacuum dehydrogenation of molten steel provided in the present application obtains the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel, and obtains the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment; generates a real-time molten steel hydrogen content according to the molten steel weight, the initial hydrogen content of molten steel, the waste gas flow rate and the waste gas hydrogen content; determines whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content, thereby achieving accurate control of the vacuum dehydrogenation time and the molten steel hydrogen content, shortening the vacuum treatment cycle, and reducing production costs.

[0062] Each step is explained in detail below.

[0063] S101: obtaining the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel and obtaining the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment;

[0064] Specifically, before the vacuum dehydrogenation treatment starts, the server obtains data such as the weight of the molten steel, the initial hydrogen content of the molten steel and the target hydrogen content of the molten steel, wherein the weight of the molten steel is pre-measured by a gravity sensor before the vacuum dehydrogenation treatment starts, and the initial hydrogen content of the molten steel is pre-measured by a hydrogen meter before the vacuum dehydrogenation treatment starts. The weight of the molten steel and the initial hydrogen content of the molten steel are used to generate the real-time hydrogen content of the molten steel; the target hydrogen content of the molten steel is pre-set and used for judgment with the real-time hydrogen content of the molten steel.

[0065] After the vacuum dehydrogenation treatment begins, the server obtains the exhaust gas flow rate and exhaust gas hydrogen content collected by the instrument in real time to generate the real-time molten steel hydrogen content.

[0066] In one embodiment, Fig.11 It is a structural diagram of the RH vacuum dehydrogenation system. Fig.11 As shown, the ladle 1 contains molten steel, the vacuum tank 2 is a reaction container for RH vacuum dehydrogenation, the exhaust gas treatment device 3 is used to treat the temperature and dust of the exhaust gas, the ultrasonic flowmeter 4 detects the exhaust gas flow rate, the mass spectrometer 5 detects the hydrogen content in the exhaust gas, and the vacuum system 6 is used to generate vacuum to extract and discharge the exhaust gas.

[0067] In one embodiment, an ultrasonic flowmeter is used to detect the exhaust gas flow rate, and a mass spectrometer is used to detect the hydrogen content in the exhaust gas. To ensure the accuracy of the exhaust gas flow rate and the hydrogen content in the exhaust gas, the ultrasonic flowmeter and the mass spectrometer need to be installed in front of the vacuum pump close to the vacuum tank side, and the temperature and dust of the exhaust gas need to be processed in front of the ultrasonic flowmeter and the mass spectrometer.

[0068] S102: generating a real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0069] Specifically, the removal of hydrogen from molten steel during RH vacuum refining follows the Siewitz square root law, which states that the hydrogen content in the molten steel is proportional to the square root of the hydrogen partial pressure:

[0070]

[0071] Where [H%] represents the concentration of hydrogen in molten steel, K H represents the Siewitz constant, which is a constant related to temperature and metal type and is used to describe the solubility of hydrogen in metals under specific conditions. Indicates the partial pressure of hydrogen.

[0072] The dehydrogenation rate during vacuum refining is determined by the following formula:

[0073]

[0074] Where A represents the gas-molten steel interfacial area, V represents the volume of molten steel, c represents the concentration of gas in molten steel, c1 represents the concentration of gas in the vacuum chamber, K' represents the mass transfer coefficient, and t represents time.

[0075] Although the parameters in formula (2) such as the gas-molten steel interface area A, the volume V of the molten steel, the concentration c of the gas in the molten steel, and the mass transfer coefficient K' can be calculated theoretically, they are difficult to measure in the actual production process, so it is also difficult to calculate the accurate dehydrogenation rate. Nevertheless, it can be concluded from formula (2) that for the dehydrogenation reaction in the vacuum chamber, the generated H2 enters the exhaust gas, which obeys the law of conservation of mass. Therefore, the server obtains the exhaust gas flow and exhaust gas composition of the RH dehydrogenation reaction, and subtracts the mass of hydrogen carried away by the exhaust gas from the initial hydrogen content value in the molten steel. The remaining hydrogen content in the molten steel is quantitatively calculated using the law of conservation of mass, thereby accurately controlling the RH dehydrogenation time and the final hydrogen content of the molten steel, shortening the vacuum treatment cycle, and reducing production costs.

[0076] Figure 2 FIG. 1 is a flow chart of a method for predicting vacuum dehydrogenation of molten steel provided in an embodiment of the present application. Figure 2 As shown, S102 includes:

[0077] S201: constructing a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0078] Specifically, the steel liquid hydrogen content generation model constructed by the server is expressed as follows:

[0079]

[0080] In the formula, [H] t represents the hydrogen content of molten steel at time t, [H]0 represents the initial hydrogen content of molten steel, and H gasIt represents the hydrogen content in the exhaust gas at time t, F represents the exhaust gas flow rate at time t, and W represents the weight of molten steel.

[0081] S202: Calculate the real-time molten steel hydrogen content using the molten steel hydrogen content generation model.

[0082] Specifically, the server generates real-time molten steel hydrogen content based on the molten steel weight and initial molten steel hydrogen content obtained before vacuum dehydrogenation treatment and the exhaust gas flow and exhaust gas hydrogen content obtained in real time during vacuum dehydrogenation treatment, that is, the server calculates the real-time molten steel hydrogen content using the constructed molten steel hydrogen content generation model.

[0083] Figure 3 FIG. 1 is a flow chart of a method for predicting vacuum dehydrogenation of molten steel provided in an embodiment of the present application. Figure 3 As shown, S102 includes:

[0084] S301: constructing a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0085] Specifically, the steel liquid hydrogen content generation model constructed by the server is expressed as follows:

[0086]

[0087] In the formula, [H] t represents the hydrogen content of molten steel at time t, [H]0 represents the initial hydrogen content of molten steel, and H gas It represents the hydrogen content in the exhaust gas at time t, F represents the exhaust gas flow rate at time t, and W represents the weight of molten steel.

[0088] S302: Correcting the molten steel hydrogen content generation model using a pre-generated correction coefficient;

[0089] Specifically, the server introduces a pre-generated correction coefficient to correct and improve the constructed molten steel hydrogen content generation model, and the correction coefficient is generated based on historical furnace data.

[0090] The server generates a model for hydrogen content in molten steel after using the correction factor as shown below:

[0091]

[0092] In the formula, [H] T represents the corrected real-time hydrogen content of molten steel, [H]0 represents the initial hydrogen content of molten steel, H gas represents the hydrogen content in the exhaust gas at time t, F represents the exhaust gas flow rate at time t, W represents the weight of molten steel, and α represents the correction coefficient.

[0093] Figure 4FIG. 1 is a flow chart of a method for predicting vacuum dehydrogenation of molten steel provided in an embodiment of the present application. Figure 4 As shown, the steps of pre-generating the correction coefficient include:

[0094] S401: Acquire historical heat data; the historical heat data includes the number of historical heats, the measured value of hydrogen content in molten steel, and the generated value of hydrogen content in molten steel;

[0095] Specifically, the server uses a pre-generated correction coefficient to correct the constructed molten steel hydrogen content generation model, and the correction coefficient is pre-generated based on historical heat data. The server obtains historical heat data including the number of historical heats, the measured value of the molten steel hydrogen content, and the generated value of the molten steel hydrogen content to generate the correction coefficient.

[0096] S402: Generate the correction coefficient according to the number of historical furnaces, the measured value of the hydrogen content in the molten steel and the generated value of the hydrogen content in the molten steel.

[0097] Specifically, the server generates a correction coefficient based on historical heat data, which includes the number of historical heats, the measured value of hydrogen content in molten steel, and the generated value of hydrogen content in molten steel. The correction coefficient α is expressed as follows:

[0098]

[0099] Wherein, [H]m represents the measured value of hydrogen content in molten steel in historical heats, [H]c represents the generated value of hydrogen content in molten steel in historical heats, and x represents the number of historical heats.

[0100] At this time, the server generates a model for the hydrogen content of molten steel corrected by the correction coefficient as follows:

[0101]

[0102] In the formula, [H] T represents the corrected real-time hydrogen content of molten steel, [H]0 represents the initial hydrogen content of molten steel, H gas represents the hydrogen content in the exhaust gas at time t, F represents the exhaust gas flow rate at time t, W represents the weight of molten steel, α represents the correction coefficient, [H]m represents the measured value of the hydrogen content in molten steel in historical furnaces, [H]c represents the generated value of the hydrogen content in molten steel in historical furnaces, and x represents the number of historical furnaces.

[0103] S303: Calculate the real-time molten steel hydrogen content using the revised molten steel hydrogen content generation model.

[0104] Specifically, the server generates the real-time molten steel hydrogen content based on the molten steel weight and initial molten steel hydrogen content obtained before vacuum dehydrogenation treatment, the exhaust gas flow rate and exhaust gas hydrogen content obtained in real time during vacuum dehydrogenation treatment, the number of historical furnaces, the molten steel hydrogen content measurement value and the molten steel hydrogen content generation value, that is, the server calculates the real-time molten steel hydrogen content using the revised molten steel hydrogen content generation model.

[0105] S103: Determine whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content.

[0106] Specifically, the server judges the real-time hydrogen content of the molten steel and the target hydrogen content of the molten steel, and determines whether to stop the vacuum dehydrogenation process according to the judgment result.

[0107] In one embodiment, S103 includes:

[0108] When the real-time molten steel hydrogen content is not greater than the target molten steel hydrogen content, it is determined to stop the vacuum dehydrogenation process.

[0109] Specifically, the server determines the real-time molten steel hydrogen content and the target molten steel hydrogen content, and determines that the RH vacuum dehydrogenation system stops the vacuum dehydrogenation process when the real-time molten steel hydrogen content is not greater than the target molten steel hydrogen content.

[0110] In one embodiment, in combination with actual production needs, the server pre-sets the minimum dehydrogenation time and the maximum dehydrogenation time for different steel grades or steel grade groups. The vacuum dehydrogenation treatment can be stopped only when the real-time molten steel hydrogen content is not greater than the target molten steel hydrogen content and the vacuum treatment time is not less than the minimum dehydrogenation time; when the vacuum treatment time is not less than the maximum dehydrogenation time, the vacuum dehydrogenation treatment is stopped immediately.

[0111] In one embodiment, a steel plant uses a 130tRH vacuum refining device to smelt bearing steel. The initial hydrogen content of the molten steel obtained before vacuum treatment is 5.3ppm, the weight of the molten steel is 135.2t, the target hydrogen content of the molten steel is 1.5ppm, the minimum dehydrogenation time of this type of steel is preset to be 12min, and the maximum dehydrogenation time is preset to be 25min.

[0112] After the vacuum treatment started, the exhaust gas flow rate value collected by the ultrasonic exhaust gas flowmeter was between 3831 and 502 kg / h, and the hydrogen content collected by the mass spectrometer was between 0.5 and 0.06%. According to the revised molten steel hydrogen content generation model, when the vacuum treatment time t = 14.7 min, the calculated real-time molten steel hydrogen content was not greater than the target molten steel hydrogen content, and the dehydrogenation time met the requirements and was not less than the minimum dehydrogenation time, and the vacuum dehydrogenation treatment was completed. At the end, the hydrogen content in the molten steel was measured using a Hercules hydrogen meter, and the measured value was 1.48 ppm. The error between the hydrogen content calculated by the molten steel hydrogen content generation model and the measured molten steel hydrogen content was 0.02 ppm, which met the requirements.

[0113] The present application provides a method for predicting vacuum dehydrogenation of molten steel, which obtains the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel, and obtains the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment; generates the real-time hydrogen content of molten steel according to the weight of molten steel, the initial hydrogen content of molten steel, the waste gas flow rate and the waste gas hydrogen content; determines whether to stop the vacuum dehydrogenation treatment according to the real-time hydrogen content of molten steel and the target hydrogen content of molten steel, thereby achieving accurate control of the vacuum dehydrogenation time and the hydrogen content of molten steel, shortening the vacuum treatment cycle and reducing production costs. Among them, by generating the real-time hydrogen content of molten steel according to the weight of molten steel, the initial hydrogen content of molten steel, the waste gas flow rate and the waste gas hydrogen content, the problem of inaccurate dehydrogenation rate caused by uncontrollable factors affecting dehydrogenation can be avoided; by using the pre-generated correction coefficient to correct the molten steel hydrogen content generation model, the generated result can be made more accurate, which is conducive to accurately controlling the vacuum dehydrogenation time and the hydrogen content of molten steel.

[0114] Based on the same inventive concept, the embodiments of the present application also provide a device for predicting vacuum dehydrogenation of molten steel, which can be used to implement the method described in the above embodiments, as described in the following embodiments. Since the principle of solving the problem by the device for predicting vacuum dehydrogenation of molten steel is similar to that of the method for predicting vacuum dehydrogenation of molten steel, the implementation of the device for predicting vacuum dehydrogenation of molten steel can refer to the implementation of the method for determining the software performance benchmark, and the repeated parts will not be repeated. As used below, the terms "unit" or "module" can be a combination of software and / or hardware that implements predetermined functions. Although the system described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0115] Figure 5 : is a schematic diagram of the structure of a molten steel vacuum dehydrogenation prediction device provided in an embodiment of the present application, such as Figure 5 As shown, the device comprises:

[0116] The data acquisition unit 501 is used to acquire the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel and to acquire the waste gas flow rate and the waste gas hydrogen content after the vacuum dehydrogenation treatment is started;

[0117] A hydrogen content generating unit 502, configured to generate a real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0118] The condition judgment unit 503 is used to judge whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content.

[0119] Figure 6 is a schematic diagram of the structure of a molten steel vacuum dehydrogenation prediction device provided in an embodiment of the present application. Figure 5Based on the embodiment, further, Figure 6 As shown, the molten steel vacuum dehydrogenation prediction device provided by the present application also includes:

[0120] A first model generation module 601 is used to construct a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0121] The first hydrogen content calculation module 602 is used to calculate the real-time molten steel hydrogen content by using the molten steel hydrogen content generation model.

[0122] Figure 7 is a schematic diagram of the structure of a molten steel vacuum dehydrogenation prediction device provided in an embodiment of the present application. Figure 5 Based on the embodiment, further, Figure 7 As shown, the molten steel vacuum dehydrogenation prediction device provided by the present application also includes:

[0123] A second model generation module 701 is used to construct a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content;

[0124] A model correction module 702, used to correct the molten steel hydrogen content generation model using a pre-generated correction coefficient;

[0125] The second hydrogen content calculation module 703 is used to calculate the real-time molten steel hydrogen content by using the revised molten steel hydrogen content generation model.

[0126] Figure 8 is a schematic diagram of the structure of a molten steel vacuum dehydrogenation prediction device provided in an embodiment of the present application. Figure 7 Based on the embodiment, further, Figure 8 As shown, the molten steel vacuum dehydrogenation prediction device provided by the present application also includes:

[0127] The historical data acquisition unit 801 is used to acquire historical heat data; the historical heat data includes the number of historical heats, the measured value of the hydrogen content in molten steel, and the generated value of the hydrogen content in molten steel;

[0128] The correction coefficient generating unit 802 is used to generate the correction coefficient according to the number of historical heats, the measured value of the hydrogen content in the molten steel and the generated value of the hydrogen content in the molten steel.

[0129] Fig. 9 is a schematic diagram of the structure of a molten steel vacuum dehydrogenation prediction device provided in an embodiment of the present application. Figure 5 Based on the embodiment, further, Fig. 9 As shown, the molten steel vacuum dehydrogenation prediction device provided by the present application also includes:

[0130] The condition judgment module 901 is used to determine to stop the vacuum dehydrogenation treatment when the real-time molten steel hydrogen content is not greater than the target molten steel hydrogen content.

[0131] The present application provides a method and device for predicting vacuum dehydrogenation of molten steel, which obtains the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel, and obtains the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment; generates the real-time hydrogen content of molten steel according to the weight of molten steel, the initial hydrogen content of molten steel, the waste gas flow rate and the waste gas hydrogen content; determines whether to stop the vacuum dehydrogenation treatment according to the real-time hydrogen content of molten steel and the target hydrogen content of molten steel, thereby achieving accurate control of the vacuum dehydrogenation time and the hydrogen content of molten steel, shortening the vacuum treatment cycle and reducing production costs. Among them, by generating the real-time hydrogen content of molten steel according to the weight of molten steel, the initial hydrogen content of molten steel, the waste gas flow rate and the waste gas hydrogen content, the problem of inaccurate dehydrogenation rate caused by uncontrollable factors affecting dehydrogenation can be avoided; by using the pre-generated correction coefficient to correct the molten steel hydrogen content generation model, the generation result can be made more accurate, which is conducive to accurately controlling the vacuum dehydrogenation time and the hydrogen content of molten steel.

[0132] Fig.10 is a schematic diagram of the physical structure of an electronic device provided in an embodiment of the present application, such as Fig.10 As shown, the electronic device may include: a processor 1001, a communication interface 1002, a memory 1003 and a communication bus 1004, wherein the processor 1001, the communication interface 1002 and the memory 1003 communicate with each other through the communication bus 1004. The processor 1001 may call the logic instructions in the memory 1003 to execute the following method: obtaining the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel, and obtaining the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment; generating the real-time hydrogen content of molten steel according to the weight of molten steel, the initial hydrogen content of molten steel, the waste gas flow rate and the waste gas hydrogen content; judging whether to stop the vacuum dehydrogenation treatment according to the real-time hydrogen content of molten steel and the target hydrogen content of molten steel.

[0133] In addition, the logic instructions in the above-mentioned memory 1003 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on such an understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0134] The present embodiment discloses a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided by the above-mentioned method embodiments, for example, including: obtaining the weight of molten steel, the initial molten steel hydrogen content and the target molten steel hydrogen content and obtaining the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment; generating a real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the waste gas flow rate and the waste gas hydrogen content; and judging whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content.

[0135] The present embodiment provides a computer-readable storage medium, which stores a computer program, and the computer program enables the computer to execute the methods provided by the above-mentioned method embodiments, for example, including: obtaining the weight of molten steel, the initial molten steel hydrogen content and the target molten steel hydrogen content and obtaining the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment; generating a real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the waste gas flow rate and the waste gas hydrogen content; and judging whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content.

[0136] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0137] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0138] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0139] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0140] In the description of this specification, the description with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0141] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the scope of protection of the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A method for predicting vacuum dehydrogenation of molten steel, characterized in that: include: Obtaining the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel and obtaining the waste gas flow rate and the waste gas hydrogen content after starting the vacuum dehydrogenation treatment; Generate a real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content; Whether to stop the vacuum dehydrogenation treatment is determined according to the real-time molten steel hydrogen content and the target molten steel hydrogen content.

2. The method for predicting molten steel vacuum dehydrogenation according to claim 1, characterized in that: The generating of the real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content comprises: Constructing a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content; The real-time molten steel hydrogen content is calculated using the molten steel hydrogen content generation model.

3. The method for predicting molten steel vacuum dehydrogenation according to claim 1, characterized in that: The generating of the real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content comprises: Constructing a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content; Correcting the molten steel hydrogen content generation model using a pre-generated correction coefficient; The real-time molten steel hydrogen content is calculated using the revised molten steel hydrogen content generation model.

4. The method for predicting molten steel vacuum dehydrogenation according to claim 3, characterized in that: The steps of pre-generating the correction coefficient include: Obtaining historical heat data; the historical heat data includes the number of historical heats, the measured value of hydrogen content in molten steel, and the generated value of hydrogen content in molten steel; The correction coefficient is generated according to the number of historical furnaces, the measured value of the hydrogen content in the molten steel and the generated value of the hydrogen content in the molten steel.

5. The method for predicting molten steel vacuum dehydrogenation according to claim 1, characterized in that: The step of judging whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content includes: When the real-time molten steel hydrogen content is not greater than the target molten steel hydrogen content, it is determined to stop the vacuum dehydrogenation process.

6. A prediction device for molten steel vacuum dehydrogenation, characterized in that: include: A data acquisition unit, used to acquire the weight of molten steel, the initial hydrogen content of molten steel and the target hydrogen content of molten steel and to acquire the waste gas flow rate and the waste gas hydrogen content after the vacuum dehydrogenation treatment begins; A hydrogen content generating unit, used for generating a real-time molten steel hydrogen content according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content; A condition judgment unit is used to judge whether to stop the vacuum dehydrogenation treatment according to the real-time molten steel hydrogen content and the target molten steel hydrogen content.

7. The device for predicting molten steel vacuum dehydrogenation according to claim 6, characterized in that: The hydrogen content generating unit comprises: A first model generation module is used to construct a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content; The first hydrogen content calculation module is used to calculate the real-time molten steel hydrogen content by using the molten steel hydrogen content generation model.

8. The device for predicting molten steel vacuum dehydrogenation according to claim 6, characterized in that: The hydrogen content generating unit comprises: A second model generation module is used to construct a molten steel hydrogen content generation model according to the molten steel weight, the initial molten steel hydrogen content, the exhaust gas flow rate and the exhaust gas hydrogen content; A model correction module, used to correct the molten steel hydrogen content generation model using a pre-generated correction coefficient; The second hydrogen content calculation module is used to calculate the real-time molten steel hydrogen content by using the revised molten steel hydrogen content generation model.

9. The device for predicting molten steel vacuum dehydrogenation according to claim 8, characterized in that: Also includes; A historical data acquisition unit, used to acquire historical heat data; the historical heat data includes the number of historical heats, the measured value of the hydrogen content in the molten steel, and the generated value of the hydrogen content in the molten steel; A correction coefficient generating unit is used to generate the correction coefficient according to the number of historical furnaces, the measured value of the hydrogen content in the molten steel and the generated value of the hydrogen content in the molten steel.

10. The device for predicting molten steel vacuum dehydrogenation according to claim 6, characterized in that: The condition judgment unit comprises: The condition judgment module is used to determine to stop the vacuum dehydrogenation treatment when the real-time molten steel hydrogen content is not greater than the target molten steel hydrogen content.

11. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

13. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

Citation Information

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