Dynamic control method and system for the "one package to the end" operation mode of the iron and steel interface

Abstract

The present invention discloses a dynamic control method and system for the "one ladle to the end" operation mode of the iron-steel interface. The method collects the molten iron production on the blast furnace side and the molten iron consumption on the steelmaking side of the iron-steel interface, as well as the number of ladles in operation, calculates the thrust and pull of the iron-steel interface, and converts them into the input rate and output rate of the interface system operation, constructs a kinetic model of the ferrous material flow and a molten iron ladle turnover model; calculates the production operation rhythm of the blast furnace side and the steelmaking side through the ferrous material flow kinetic model, determines the relationship between the molten iron ladle input and output rates and the dynamic control of the interface molten iron ladle; calculates the difference between the actual molten iron ladle operation input rate and output rate through the molten iron ladle turnover model, estimates the number of molten iron ladles in interface operation and distribution changes in the future, and adjusts the number of molten iron ladles in online operation according to the set upper and lower limits of empty ladles, so that the interface operation is more matched. Using this technical solution, the model quantitatively describes the dynamic characteristics of multi-input-multi-output ferrous material flow and molten iron ladle turnover, and optimizes the dynamic operation mechanism of the iron-steel interface.

Description

Technical Field

[0001] The present invention belongs to the technical field of steelmaking steel interface control, and specifically relates to a dynamic control method and system for an iron-steel interface "one-package-through" operation mode. Background Art

[0002] The steel industry, a typical process manufacturing industry, has two types of process manufacturing methods: the blast furnace-converter long process and the electric furnace short process. China's steel manufacturing is primarily based on the long process, which accounts for over 90% of crude steel production and is the primary source of CO2 emissions within the industry.

[0003] Applying process engineering concepts to optimize the material flow operation in the blast furnace-converter section, i.e., the iron-steel interface, is an important means for steel companies to save energy, reduce carbon emissions, and lower costs and increase efficiency. Optimizing the operation of the iron-steel interface can reduce the temperature loss of molten iron during transportation, preserve the heat of the high-temperature molten iron currently obtained by carbon metallurgy as much as possible, and facilitate the large-scale consumption of scrap steel by the converter, which is of great significance to reducing carbon emissions.

[0004] As an efficient "iron-steel interface" technology, the "one-ladle-through" model has been adopted by many newly built steel companies. This model uses the same molten iron ladle to complete multiple operations such as blast furnace iron tapping, molten iron transportation, molten iron desulfurization, and converter iron addition, effectively reducing the molten iron temperature loss of the traditional ladle-turning model. Existing research focuses on the "one-ladle-through" model and has formed a relatively systematic method in terms of interface layout optimization design, molten iron temperature drop law analysis and prediction. It also provides a theoretical basis for improving interface operation efficiency in the fields of macroscopic operation analysis and simulation optimization of ferrous material flow, interface transportation, and steel plant scheduling. However, existing research mostly focuses on macroscopic or static analysis, and lacks a systematic revelation of the dynamic matching relationship between the input and output of ferrous material flow in the ironmaking-steelmaking process. In addition, since some steel companies use multiple types of ladles, existing results still have certain limitations in actual production.

[0005] At present, the dynamic management of interface ladles mainly includes two situations:

[0006] One is offline operation when the ladle needs maintenance;

[0007] Secondly, when the steelmaking process fails or the pouring is stopped, temporary buffering of the molten iron can be achieved by baking the molten iron ladle in the on-line masonry room.

[0008] However, current management strategies do not fully consider the need for material flow matching and lack a systematic mechanism for regulating the number of ladles. This deficiency not only limits further improvements in interface efficiency but also wastes energy due to the continuous baking of ladles. Summary of the Invention

[0009] The purpose of the present invention is to provide a dynamic control method and system for the "one-package-through" operation mode of the iron-steel interface, so as to optimize the dynamic operation mechanism of the iron-steel interface.

[0010] In order to achieve the above-mentioned object, the basic scheme of the present invention is: a dynamic control method for the "one-stop" operation mode of the iron-steel interface, comprising the following steps:

[0011] Collect data on the blast furnace side of the iron-steel interface, including the number of hot metal tappings and output, the number of hot metal heats and consumption on the steelmaking side, and the number of hot metal ladle operations at the interface. Calculate the thrust and pull forces at the iron-steel interface, and use system dynamics methods to convert the thrust into the input rate of the iron-steel interface system operation, and the pull into the output rate of the iron-steel interface system operation.

[0012] Construct a kinetic model of ferrite material flow and a ladle turnover model;

[0013] The ferrite material flow dynamics model is used to calculate the production operation rhythm of the blast furnace and steelmaking sides, and to determine the dynamic control relationship between the input rate and output rate of the molten iron ladle and the number of molten iron ladles at the interface;

[0014] Through the ladle turnover model, the number and distribution changes of ladles in the future interface are calculated under the condition of the actual difference between the input and output rates of the ladles. Combined with the operating status of the ladles, the number of empty ladles on the upper and lower lines of the ladles are adjusted according to the set upper and lower limits of the empty ladles to make the interface operation match.

[0015] The working principle and beneficial effects of this basic scheme are: the system dynamics model of this technical scheme calculates the future distribution of the number of ladles based on the rate difference between the molten iron input on the blast furnace side and the output on the steelmaking side at the iron-steel interface, and determines the increase or decrease in the amount of molten iron in transit (the number of heavy ladles) at the interface based on the ladle turnover model to adjust the number of ladles on and off the line.

[0016] Since the total amount of ladles on the interface remains stable over a period of time, the increase or decrease in the number of heavy ladles will affect the change in the number of empty ladles. The number of ladles on the upper and lower lines is determined by comparing the current number of empty ladles with the set upper and lower limits of the empty ladle operation.

[0017] Based on the qualitative analysis of the interface operation rules, combined with the state and quantity distribution of the ladles and the rate changes on the blast furnace side and the steelmaking side, the ladles are quantitatively operated on the upper and lower lines based on the flow rate difference and the set upper and lower limits of the ladles to optimize the interface operation. Furthermore, the iron output of the blast furnace is the thrust source of the material flow operation, and the blast furnace iron production serves as the thrust; the continuous casting tension is achieved by the furnaces corresponding to the continuous casting pouring plan. The tension source of the iron-steel interface is converted into the steel output corresponding to the furnace of the steelmaking tapping plan to represent it. The thrust and tension of the iron-steel interface are calculated as:

[0018]

[0019]

[0020] in, For thrust, is the pulling force; V is the effective volume of the blast furnace; I is the number of blast furnaces; η i is the utilization coefficient of the i-th blast furnace; t BF is the blast furnace working time domain; t i and t i ′ are the start and end time of the i-th blast furnace working time domain respectively; dτ is the time differential; J is the total number of steel plants; j is the steel plant number; B is the total number of converters; b is the converter number; Q lalde The amount of iron added in this furnace; t BOF is the converter working time domain; t b and t ′ b are the start time and end time of the working time domain of the b-th converter respectively; dτ is the time differential.

[0021] Furthermore, the system dynamics method is used to construct a dynamic model of ferrous material flow, and its level equation is described as:

[0022]

[0023] Among them, t i,m,start represents the start time of the mth iron production of the i-th blast furnace; t i,m,end Indicates the end time of the mth iron batch of the i blast furnace; Q end Q is the amount of molten iron in transit at the interface at the end of the iron run; start is the amount of molten iron in transit at the interface at the start of the iron run; R in (τ) represents the total rate of iron tapping into the interface from i blast furnaces; R out (τ) represents the sum of the iron addition rates of the converters in J steel plants; dτ is the time differential;

[0024] The input rate of each blast furnace is derived from the ferrous material flow mass produced during the iron-batch time of the blast furnace, the iron-batch time, or the type and number of iron ladles received; the output rate of each steelmaking process is derived from the ferrous material flow mass or the number of hot metal ladles consumed by multiple heats of several converters in the steelmaking process during the iron-batch time period, specifically:

[0025]

[0026]

[0027] in, is the first iron receiving mass of the k-type ladle in the m-th tapping of the i-th blast furnace; is the second iron connection quality when the k-type ladle is the last ladle in the m-th tapping; t i,m,start is the start time of the iron round; t i,m,end is the iron run end time, and its difference is the blast furnace iron run time; is the molten iron quality of the k-type ladle at the n-th iron addition of the b-type converter in the j-steelworks within the corresponding iron-addition time period, i is the blast furnace number, m is the number of iron tappings, k is the number of the ladle type, j is the steelworks number, b is the converter number, n is the number of iron additions, I is the total number of blast furnaces, M is the total number of iron tappings, K is the total number of ladle types, J is the total number of steelworks, B is the total number of converters, and N is the total number of iron additions.

[0028] In some steel enterprises, the iron-steel interface presents a typical multi-input-multi-output system structure, which comprehensively obtains the push and pull forces and more realistically reflects the dynamic characteristics of the system.

[0029] The system dynamics model constructed from the perspective of ferrous material flow provides a reference for optimizing interface operation and adjusting the rhythm of steelmaking production.

[0030] further,

[0031] Construct a ladle turnover model, calculate the production operation rhythm of the blast furnace side and the steelmaking side through the ferrite material flow dynamics model, and determine the relationship between the ladle input and output rate and the dynamic control of the interface ladle:

[0032] The ladle turnover model distinguishes the type and state of the ladle, and the mathematical description of the number of heavy ladles is:

[0033]

[0034] The mathematical description of the number of empty packets is:

[0035]

[0036] Among them, t i,m,start is the start time of the iron round; t i,m,end is the end time of the iron run, and the difference is the blast furnace iron run time. is the number of K-type repacks at the end of the iron cycle, The number of k-type repacks at the beginning of the iron cycle; is the number of k type empty packets at the end, N is the number of k-type empty packets at the beginning; ladle,end is the total amount of k-type ladles at the end; is the k-type heavy bag generation rate on the blast furnace side during the iron-bearing time, is the consumption rate of k-type heavy ladle on the steelmaking side during the iron-making time; is the k-type empty packet generation rate within the iron time, is the k-type empty packet consumption rate within the iron time;

[0037] t end Total amount of molten iron ladle for:

[0038]

[0039] Through statistical analysis and system dynamics methods, the level equation for dynamic analysis of the iron-steel interface is clarified, providing a quantitative guidance method for the operation of the ladle on and off the line.

[0040] Furthermore, the ladle upper and lower limits are controlled based on the difference between the ladle input rate and the ladle output rate and the number of ladles on the current interface and the set ladle upper and lower limits;

[0041] According to the difference between the actual ladle input rate and the ladle output rate, as well as the ratio of empty and heavy ladles on the interface, the ladle up and down lines and ladle turnover are adjusted, and the ladle input-output rate within the specified time range is calculated in real time.

[0042] The operation of the hot metal ladle on and off the line is not dynamically controlled based on the matching degree of the interface material flow, but mainly due to the need for maintenance of the hot metal ladle. Dynamically adjust the appropriate number of hot metal ladles at the iron and steel interface to improve the interface operation efficiency.

[0043] Furthermore, the heavy ladle turnover process consists of the generation and consumption of heavy ladle. The generation rate of heavy ladle is described as the actual number of hot metal ladles that receive the ferrous material flow of the blast furnace:

[0044]

[0045] in, Represents the number of iron ladles of type k in blast furnace i;

[0046] The heavy ladle consumption rate is described as the number of iron ladles on the steelmaking side in the same period.

[0047]

[0048] in, represents the number of k-type iron ladles in converter b of steel plant j;

[0049] The empty ladle turnover process consists of empty ladle generation and empty ladle consumption. In contrast to the life cycle of heavy ladle, the empty ladle generation rate is described as the number of empty ladle formed by heavy ladle ironing in the converter and the number of empty ladle unloaded from the masonry room within the iron-making time.

[0050]

[0051] in, represents the number of k-type iron ladles in converter b of steel plant j; Indicates the number of k-type ladles on the line in the masonry room;

[0052] The consumption rate of empty ladles is described as the number of heavy ladles formed after the empty ladles are connected to the blast furnace and the number of empty ladles unloaded from the masonry room, which is:

[0053]

[0054] in, Represents the number of iron ladles of type k in blast furnace i; Indicates the number of k-type ladles offline in the masonry room.

[0055] The system input rate and system output rate are obtained from the perspective of ladle turnover, revealing the dynamic relationship between multi-input and multi-output ferrous material flow and ladle turnover, achieving dynamic matching of the number of ladles and production rhythm, improving interface operation efficiency and providing new ideas for interface operation optimization and regulation.

[0056] Furthermore, the ladle turnover model is used to determine the appropriate steelmaking output rate based on the blast furnace input rate. The number of ladles in the future interface is calculated under the actual rate difference. The upper and lower limits of the empty ladle are adjusted according to the set upper and lower limits of the empty ladle to match the interface operation. The specific steps are as follows:

[0057] S1, read the performance data of the blast furnace side and the converter side and the distribution of the number of ladles on the interface during the iron run period;

[0058] S2, calculate the blast furnace input rate and steel output rate during this iron period through the kinetic model of ferrite mass flow;

[0059] S3, calculating the number distribution of ladles in the next period based on the difference between the ladle input and ladle output consumption rates and the ladle turnover model;

[0060] S4, comparing the distribution of the number of empty ladles in the calculated number of ladles with the set upper and lower limits of the number of empty ladles;

[0061] S5, by comparing with the upper and lower limits of the empty ladle, determine the upper and lower limits of the molten iron ladle to be adjusted. The upper and lower limits are set according to the safe iron receiving quantity of the enterprise's blast furnace and the long-term operating conditions.

[0062] Adjust the upper and lower lines of the molten iron ladle according to the set upper and lower limits of the empty ladle to match the interface operation and realize dynamic regulation of the iron-steel interface.

[0063] The present invention also provides a dynamic control system for the iron-steel interface based on the "one ladle to the end" mode, comprising a data acquisition module and a processing module, wherein the data acquisition module is used to collect the turnover operation quantity and turnover efficiency of the molten iron ladle at the iron-steel interface, and the output end of the data acquisition module is connected to the input end of the processing module;

[0064] The processing module executes the method of the present invention to perform dynamic regulation of the iron-steel interface.

[0065] The system has a simple structure and builds a dynamic model of molten iron input-output and ladle turnover to dynamically control the iron-steel interface. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a flow chart of the dynamic control method of the present invention for the "one-package-through" operation mode at the iron-steel interface;

[0067] Figure 2 It is a system dynamics flow chart of the dynamic control method of the present invention for the "one-package-through" operation mode of the iron-steel interface. DETAILED DESCRIPTION

[0068] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention and are not to be construed as limiting the present invention.

[0069] In the description of the present invention, it should be understood that the terms "longitudinal", "transverse", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention.

[0070] In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a mechanical connection or an electrical connection, or it can be the internal communication between two components. It can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to the specific circumstances.

[0071] The present invention discloses a dynamic control method for the "one package to the end" operation mode of the iron-steel interface, such as Figure 1 As shown, the following steps are included:

[0072] Collect the molten iron production on the blast furnace side of the iron-steel interface, the molten iron consumption on the steelmaking side, and the number of molten iron ladle operations (specifically, the number of molten iron tappings and molten iron production on the blast furnace side, the number of molten iron addition heats on the steelmaking side, the molten iron consumption on the steelmaking side, the number of molten iron ladle operations, time, ladle type, ladle times, and other information as well as parameter information required in the calculation process of the present invention can be obtained from the enterprise's production information system database, and the blast furnace side iron connection and steelmaking side iron addition data can be obtained through the molten iron ladle tracking system), calculate the thrust and pull of the iron-steel interface, and use the system dynamics method to convert the thrust into the input rate of the iron-steel interface system operation, and convert the pull into the output rate of the iron-steel interface system operation;

[0073] Construct a kinetic model of ferrite material flow and a ladle turnover process model;

[0074] The production operation rhythm of the blast furnace side and the steelmaking side is calculated through the ferrite material flow dynamics model, and the input rate and output rate of the molten iron ladle, as well as the dynamic control relationship with the number of molten iron ladles on the interface are determined. Specifically, the respective production rhythms are determined through the distribution of the blast furnace input rate and the steelmaking output rate, and the input rate-output rate is calculated, and its image distribution is plotted.

[0075] Through the ladle turnover model, the number and distribution changes of ladles at the future iron-steel interface are calculated under the condition of the actual difference between the input and output rates of the ladle. Combined with the operating status of the ladle, the number of empty ladles on the upper and lower lines of the ladle is adjusted according to the set upper and lower limits of the empty ladles to make the interface operation match.

[0076] Through the ladle turnover model, the appropriate steelmaking side output rate is determined according to the blast furnace input rate (in this embodiment, the appropriate steelmaking side output rate is equal to the blast furnace input rate - the steelmaking output rate, that is, the blast furnace input rate - the steelmaking output rate match each other or the difference is within the preset range and the difference is positive or negative, otherwise it will lead to a continuous increase in the number of heavy or empty ladles, making the interface ladles heavy and empty ratio unbalanced), and calculate the future interface ladle number distribution under the actual ladle input and output rate difference (according to the interface rate difference, the number of ladles running on the interface is regulated by the upper and lower line ladles according to the upper and lower line ladles), combined with the ladle operation status, and adjust the number of empty ladles on the upper and lower lines of the ladle according to the set upper and lower limits of the empty ladle, so that the interface operation matches, wherein the upper and lower limits are set according to the number of safe iron connections in the enterprise's blast furnace and the long-term operation status, so that the interface input and output match.

[0077] In this embodiment, the number of ladles is calculated using a dynamic model of ladle turnover, and the specific process is as follows:

[0078] ① The number of heavy ladles at the current moment is determined based on the number of heavy ladles entering the blast furnace and the number of heavy ladles output from the steelmaking process during the same period. ② The number of empty ladles at the next moment is determined based on the number of empty ladles at the current moment, the number of empty ladles entering the masonry shop and the steelmaking process during the same period, the number of empty ladles output from the blast furnace, and the number of empty ladles removed from the masonry shop. If the number of empty ladles is insufficient, ladles are added to the masonry shop; if the number of empty ladles is excessive, ladles are removed from the masonry shop.

[0079] Since blast furnace and converter production are both rigid links, the steelmaking output rate (production operation rhythm) is adjusted by calculating and analyzing the production status of the blast furnace, understanding the future arrival of molten iron for steelmaking, and analyzing the rate difference at both ends to adjust the number of ladles at the interface (calculated through the ladle turnover model).

[0080] The essence of the dynamic system at the iron-steel interface can be summarized as the input of hot metal to the blast furnace and the output of hot metal to the steelmaking side, with the amount of hot metal in transit being regulated by the input-output rate. In the "one-ladle-to-the-bottom" mode, the dynamic model of the ferrous material flow can be further transformed into the corresponding ladle state and quantity changes. The interface operating state is regulated by the dynamic on- and off-line operation of the ladle.

[0081] In a preferred embodiment of the present invention, the ladle upper and lower lines are controlled based on the difference between the ladle input rate and the ladle output rate and the number of ladles on the current interface and the set ladle upper and lower limits;

[0082] According to the difference in actual ladle input rate, ladle output rate, and the ratio of empty ladle to heavy ladle on the interface, the ladle upper and lower lines and ladle turnover are adjusted, and the input-output rate within the specified time range is calculated in real time, which can be accurate to a smaller time range and more precise for dynamic regulation.

[0083] In a preferred embodiment of the present invention, the blast furnace iron output is the thrust source for material flow operation, and the blast furnace iron production serves as the thrust; the continuous casting tension is achieved by the furnaces corresponding to the continuous casting pouring schedule, and the tension source at the iron-steel interface is converted to the steel output corresponding to the furnace steelmaking tapping schedule. The thrust and tension at the iron-steel interface are calculated as:

[0084]

[0085]

[0086] in, For thrust, is the pulling force; V is the effective volume of the blast furnace; I is the number of blast furnaces; η i is the utilization coefficient of the i-th blast furnace; t BF is the blast furnace working time domain; t i and t i′ are the start and end time of the i-th blast furnace working time domain respectively; dτ is the time differential; J is the total number of steel plants; j is the steel plant number; B is the total number of converters; b is the converter number; Q lalde The amount of iron added in this furnace; t BOF is the converter working time domain; t b and t ′ b are the start time and end time of the working time domain of the b-th converter respectively; dτ is the time differential.

[0087] During the blast furnace tapping process, the system's input rate comes from the quality of the ferrous material flow in the blast furnace iron batch, the tapping time or the shape and quantity of the molten iron ladle, etc. The combination of these factors forms the "blast furnace thrust" that describes the blast furnace's tapping capacity on a macro scale.

[0088] During the converter iron addition process on the steelmaking side, the system's output rate comes from the quality of the ferrous material flow in the converter heat, the iron addition time or the number of ladles, etc. The combination of these factors constitutes the "converter pull" that describes the steelmaking iron addition capacity at a macro level.

[0089] In a preferred embodiment of the present invention, at the iron-steel interface, the amount of molten iron in transit is a key indicator for evaluating the operation of the interface, and its change is directly affected by the blast furnace iron tapping rate and the steel mill iron addition rate.

[0090] The level equation describes the dynamic change of the amount of molten iron in transit under the fluctuation of the input rate on the blast furnace side and the output rate on the steelmaking side. Using the system dynamics method, a dynamic model of the ferrous material flow is constructed, and its level equation is described as:

[0091]

[0092] Among them, t i,m,start represents the start time of the mth iron production of the i-th blast furnace; t i,m,end Indicates the end time of the mth iron batch of the i blast furnace; Q end Q is the amount of molten iron in transit at the interface at the end of the iron run; start is the amount of molten iron in transit at the interface at the start of the iron run; R in (τ) represents the total rate of iron tapping into the interface from i blast furnaces; R out (τ) represents the sum of the iron addition rates of the converters in J steel plants; dτ is the time differential;

[0093] The input rate of each blast furnace is derived from the ferrous material flow mass produced during the iron-batch time of the blast furnace, the iron-batch time, or the type and number of iron ladles received; the output rate of each steelmaking process is derived from the ferrous material flow mass or the number of hot metal ladles consumed by multiple heats of several converters in the steelmaking process during the iron-batch time period, specifically:

[0094]

[0095]

[0096] in, is the first iron receiving mass of the k-type ladle in the m-th tapping of the i-th blast furnace; is the second iron connection quality when the k-type ladle is the last ladle in the m-th tapping; t i,m,start is the start time of the iron round; t i,m,end is the iron run end time, and its difference is the blast furnace iron run time; is the molten iron quality of the k-type ladle at the n-th iron addition of the b-type converter in the j-steelworks within the corresponding iron-addition time period, i is the blast furnace number, m is the number of iron tappings, k is the number of the ladle type, j is the steelworks number, b is the converter number, n is the number of iron additions, I is the total number of blast furnaces, M is the total number of iron tappings, K is the total number of ladle types, J is the total number of steelworks, B is the total number of converters, and N is the total number of iron additions.

[0097] In a preferred embodiment of the present invention, a system dynamics model constructed from the perspective of ferrous material flow, centered on the actual input and output rates of ferrous material flow, provides an effective basis for adjusting the rhythm of steelmaking production. In the "one-ladle-to-the-end" mode, this dynamic model can be further transformed into a description of the state and quantity changes of the molten iron ladle, thereby providing a means to optimize interface control from the perspective of the molten iron ladle.

[0098] The state and quantity of the interface ladle change with the blast furnace iron tapping rate and the steel mill iron addition rate. If the input and output rates are not properly matched, the organizational structure of the interface ladle will change:

[0099] If the rate on the blast furnace side is greater than the rate on the steelmaking side, the proportion of heavy ladles on the interface increases, and the amount of molten iron in transit increases. If the number of empty ladles at this time cannot meet the blast furnace's iron demand, it is necessary to put the ladles online;

[0100] If the steelmaking rate is greater than the rate on the blast furnace side, the number of empty bags on the interface will increase, and the excess empty bags will affect the interface operation efficiency. Therefore, the steelmaking rate should be adjusted and the empty bags should be taken offline immediately.

[0101] The system dynamics model calculates the future distribution of ladles based on the rate difference between the input on the blast furnace side and the output on the steelmaking side of the iron-steel interface, and adjusts the number of ladles on and off the line based on the increase or decrease in the amount of molten iron in transit (the number of heavy ladles) at the interface based on the ladle turnover model.

[0102] Construct a ladle turnover model, calculate the production operation rhythm of the blast furnace side and the steelmaking side through the ferrite material flow dynamics model, and determine the relationship between the ladle input and output rate and the dynamic control of the interface ladle:

[0103] The ladle turnover model distinguishes the type and state of the ladle, and the mathematical description of the number of heavy ladles is:

[0104]

[0105] The mathematical description of the number of empty packets is:

[0106]

[0107] Among them, t i,m,start is the start time of the iron round; t i,m,end is the end time of the iron run, and the difference is the blast furnace iron run time. is the number of K-type repacks at the end of the iron cycle, The number of k-type repacks at the beginning of the iron cycle; is the number of k type empty packets at the end, is the number of k-type empty packets at the beginning; N ladle,end is the total amount of k-type ladles at the end; is the k-type heavy bag generation rate on the blast furnace side during the iron-bearing time, is the consumption rate of k-type heavy ladle on the steelmaking side during the iron-time; is the k-type empty packet generation rate within the iron time, is the k-type empty packet consumption rate within the iron time;

[0108] t end Total amount of molten iron ladle for:

[0109]

[0110] In a preferred embodiment of the present invention, the heavy ladle turnover process consists of the generation and consumption of heavy ladle. The generation rate of heavy ladle is described as the actual number of ladles that receive the ferrous material flow of the blast furnace:

[0111]

[0112] in, Represents the number of iron ladles of type k in blast furnace i;

[0113] The heavy ladle consumption rate is described as the number of iron ladles on the steelmaking side in the same period.

[0114]

[0115] in, represents the number of k-type iron ladles in converter b of steel plant j;

[0116] The empty ladle turnover process consists of empty ladle generation and empty ladle consumption. In contrast to the life cycle of heavy ladle, the empty ladle generation rate is described as the number of empty ladle formed by heavy ladle ironing in the converter and the number of empty ladle unloaded from the masonry room within the iron-making time.

[0117]

[0118] in, represents the number of k-type iron ladles in converter b of steel plant j; Indicates the number of k-type ladles on the line in the masonry room;

[0119] The consumption rate of empty ladles is described as the number of heavy ladles formed after the empty ladles are connected to the blast furnace and the number of empty ladles unloaded from the masonry room, which is:

[0120]

[0121] in, Represents the number of iron ladles of type k in blast furnace i; Indicates the number of k-type ladles offline in the masonry room.

[0122] In a preferred embodiment of the present invention, a ladle turnover model is used to determine a suitable steelmaking output rate based on the blast furnace input rate, and the number of ladles in the future interface is calculated under the condition of the difference between the actual ladle input and output rates. The upper and lower limits of the ladle are adjusted according to the set upper and lower limits of the empty ladle to match the interface operation. The specific steps are as follows:

[0123] S1, read the performance data of the blast furnace side and the converter side and the distribution of the number of hot metal ladles on the interface during the iron-making period (which can be obtained from the enterprise's production information system database);

[0124] S2, calculate the blast furnace input rate and steel output rate during this iron period through the kinetic model of ferrite mass flow;

[0125] S3, calculating the number distribution of ladles in the next period based on the difference between the ladle input and ladle output rates and the ladle turnover model;

[0126] S4, comparing the distribution of the number of empty ladles in the calculated number of ladles with the set upper and lower limits of the number of empty ladles;

[0127] S5, by comparing with the upper and lower limits of the empty ladle, determine the upper and lower limits of the molten iron ladle to be adjusted. The upper and lower limits are set according to the safe iron receiving quantity of the enterprise's blast furnace and the long-term operating conditions.

[0128] The core characteristics of the dynamic system at the iron-steel interface can be summarized as the molten iron input to the blast furnace and the molten iron output to the steelmaking process, as well as the amount of molten iron in transit at the interface, which is affected by the input and output. In the "one-ladle-to-the-end" model, the dynamic characteristics of the ferrous material flow can be specifically manifested in the distribution and quantity of empty and heavy ladles.

[0129] By analyzing the dynamic changes of the ladle, the operating behavior and characteristics of the iron-steel interface dynamic system can be intuitively revealed and predicted. According to the system operation logic, a system dynamic flow diagram can be constructed, such as Figure 2 shown.

[0130] Based on the difference in input-output rates and the change in the ratio of empty ladles to heavy ladles at the interface, consider whether the ladle needs to be brought online or offline.

[0131] When the rates are matched, the number and ratio of interface ladles are relatively stable and do not require frequent intervention;

[0132] When the number of empty ladles is insufficient or the amount of molten iron in transit reaches a critical value, empty ladles should be put online in time to meet the blast furnace's iron demand;

[0133] When there are too many empty ladles, the excess ladles can be taken off the line appropriately to reduce unnecessary space pressure and increase the daily turnover rate of the ladles; at the same time, the steelmaking production rhythm can be adjusted to achieve rate matching on both sides.

[0134] The present invention also provides a dynamic control system for the iron-steel interface based on a "ladle-to-the-bottom" model, comprising a data acquisition module and a processing module. The data acquisition module is used to collect the number of ladle turnovers and the turnover efficiency at the iron-steel interface. The output of the data acquisition module is electrically connected to the input of the processing module. The processing module executes the method described in the present invention to dynamically control the iron-steel interface.

[0135] This invention optimizes the iron-steel interface, utilizing the heat resources of the blast furnace's carbon metallurgy to achieve a higher proportion of scrap steel. The number of ladles is dynamically controlled by the push-pull forces at both ends of the interface. While overall operation is relatively stable, variations in the blast furnace's tapping rate and the converter's iron addition rhythm can cause fluctuations in the amount of molten iron in transit. By dynamically adjusting the number of ladles, ladle turnover efficiency is improved, effectively reducing the temperature drop of the molten iron.

[0136] The core of optimizing the dynamic system of the iron-steel interface lies in achieving a dynamic balance between hot metal input to the blast furnace and hot metal output to the steelmaking process. The essence of the dynamic system can be summarized as hot metal input to the blast furnace and hot metal output to the steelmaking process, with its level being expressed as the amount of hot metal in transit. A system dynamics model constructed from the perspective of ferrous material flow provides a reference for optimizing interface operation and adjusting the pace of steelmaking production. In the "one-ladle-to-the-end" mode, this dynamic model is further transformed into a description of the state and quantity changes of the hot metal ladle, expanding the possibilities for interface regulation from the ladle perspective.

[0137] Through statistical analysis and system dynamics methods, the level equation for the dynamic analysis of the iron-steel interface, as well as the calculation formula for the input rate of iron to the blast furnace and the output rate of iron to the converter, are clarified. The model reveals the dynamic relationship between the multi-input and multi-output ferrous material flow and the turnover of the molten iron ladle, providing a quantitative guidance method for the online and offline operations of the molten iron ladle.

[0138] The system dynamics model can effectively improve the operating efficiency of ladles. Compared with traditional manual experience-based control, the model realizes the dynamic matching of the number of ladles and the production rhythm, improves the interface operation efficiency and provides new ideas for the optimization and control of interface operation.

[0139] The quantitative analysis of the dynamic operation of the iron-steel interface can provide important data support and theoretical basis for the optimization of blast furnace under-furnace bagging, interface locomotive scheduling optimization, iron-steel interface material flow matching and coordination of steel plant production rhythm.

[0140] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0141] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the claims and their equivalents.

Claims

1. A dynamic control method for the "one-stop" operation mode of the iron-steel interface, characterized in that: The steps include: Collect data on the blast furnace side of the iron-steel interface, including the number of hot metal tappings and output, the number of hot metal heats and consumption on the steelmaking side, and the number of hot metal ladle operations at the interface. Calculate the thrust and pull forces at the iron-steel interface, and use system dynamics methods to convert the thrust into the input rate of the iron-steel interface system operation, and the pull into the output rate of the iron-steel interface system operation. Construct a kinetic model of ferrite material flow and a ladle turnover model; The ferrite material flow dynamics model is used to calculate the production operation rhythm of the blast furnace and steelmaking sides, and to determine the dynamic control relationship between the input rate and output rate of the molten iron ladle and the number of molten iron ladles at the interface; The ladle turnover model is used to calculate the number and distribution of ladles at the iron-steel interface under the actual difference between the ladle input and output rates. Based on the ladle's operating status and the set upper and lower limits of empty ladles, the number of empty ladles at the upper and lower lines of the ladle is adjusted to ensure interface operation matching. A ladle turnover model was constructed, and the production operation rhythm of the blast furnace and steelmaking sides was calculated using the ferrite material flow dynamics model. The input and output rates of the ladle were determined, as well as their dynamic control relationship with the number of ladles at the interface: The ladle turnover model distinguishes the type and state of the ladle, and the mathematical description of the number of heavy ladles is: The mathematical description of the number of empty packets is: Among them, t i,m,start is the start time of the iron round; t i,m,end is the iron run end time, and its difference is the blast furnace iron run time; is the number of K-type repacks at the end of the iron cycle, The number of k-type repacks at the beginning of the iron cycle; is the number of k type empty packets at the end, N is the number of k-type empty packets at the beginning; ladle,end is the total amount of k-type ladles at the end; is the k-type heavy bag generation rate on the blast furnace side during the iron-bearing time, is the consumption rate of k-type heavy ladle on the steelmaking side during the iron-making time; is the k-type empty packet generation rate within the iron time, is the k-type empty packet consumption rate within the iron time; t end The total amount of molten iron ladle N ladle,tend for: The ladle upper and lower limits are controlled based on the difference between the ladle input rate and the ladle output rate and the number of ladles on the current interface and the set ladle upper and lower limits; According to the difference between the actual ladle input rate and the ladle output rate, as well as the ratio of empty and heavy ladles on the interface, the ladle upper and lower lines and ladle turnover are adjusted, and the ladle input and output rate within the designated time range is calculated in real time; The heavy ladle turnover process consists of the generation and consumption of heavy ladle. The generation rate of heavy ladle is described as the actual number of ladles that receive the ferrous material flow from the blast furnace: in, represents the number of ladle types k in blast furnace i; I is the number of blast furnaces; K is the total number of ladle types, and M is the total number of tapping times; The heavy ladle consumption rate is described as the number of iron ladles on the steelmaking side in the same period. in, represents the number of k-type iron ladles in converter b of steel plant j; J is the total number of steel plants, and B is the total number of converters; The empty ladle turnover process consists of empty ladle generation and empty ladle consumption. In contrast to the life cycle of heavy ladle, the empty ladle generation rate is described as the number of empty ladle formed by heavy ladle ironing in the converter and the number of empty ladle unloaded from the masonry room within the iron-making time. in, represents the number of k-type iron ladles in converter b of steel plant j; Indicates the number of k-type ladles on the line in the masonry room; The consumption rate of empty ladles is described as the number of heavy ladles formed after the empty ladles are connected to the blast furnace and the number of empty ladles unloaded from the masonry room, which is: in, Represents the number of iron ladles of type k in blast furnace i; Indicates the number of k-type ladles offline in the masonry room.

2. The dynamic control method for the "one-stop" operation mode of the iron-steel interface according to claim 1 is characterized in that: Calculate the thrust and pull at the iron-steel interface as: in, For thrust, is the pulling force; V is the effective volume of the blast furnace; I is the number of blast furnaces; η i is the utilization coefficient of the i-th blast furnace; t BF is the blast furnace working time domain; t i and t i ′ are the start and end time of the i-th blast furnace working time domain respectively; dτ is the time differential; J is the total number of steel plants; j is the steel plant number; B is the total number of converters; b is the converter number; Q lalde The amount of iron added in this furnace; t BOF is the converter working time domain; t b and t ′ b are the start time and end time of the working time domain of the b-th converter respectively; dτ is the time differential.

3. The dynamic control method for the "one-stop" operation mode of the iron-steel interface according to claim 2 is characterized in that: The system dynamics method is used to construct a dynamic model of ferrous material flow, and its level equation is described as: Among them, t i,m,start represents the start time of the mth iron production of the i-th blast furnace; t i,m,end Indicates the end time of the mth iron batch of the i blast furnace; Q end Q is the amount of molten iron in transit at the interface at the end of the iron run; start is the amount of molten iron in transit at the interface at the start of the iron run; R in (τ) represents the total rate of iron tapping into the interface from i blast furnaces; R out (τ) represents the sum of the iron addition rates of the converters in J steel plants; dτ is the time differential; The input rate of each blast furnace is derived from the ferrous material flow mass produced during the iron-batch time of the blast furnace, the iron-batch time, or the type and number of iron ladles received; the output rate of each steelmaking process is derived from the ferrous material flow mass or the number of hot metal ladles consumed by multiple heats of several converters in the steelmaking process during the iron-batch time period, specifically: in, is the first iron receiving mass of the k-type ladle in the m-th tapping of the i-th blast furnace; is the second iron connection quality when the k-type ladle is the last ladle in the m-th tapping; t i,m,start is the start time of the iron round; t i,m,end is the iron run end time, and its difference is the blast furnace iron run time; is the molten iron quality of the k-type ladle at the n-th iron addition of the b-type converter in the j-steelworks within the corresponding iron-addition time period, i is the blast furnace number, m is the number of iron tappings, k is the ladle type number, j is the steelworks number, b is the converter number, n is the number of iron additions, I is the number of blast furnaces, M is the total number of iron tappings, K is the total number of ladle types, J is the total number of steelworks, B is the total number of converters, and N is the total number of iron additions.

4. The dynamic control method for the "one-stop" operation mode of the iron-steel interface according to claim 1 is characterized in that: The ladle turnover model is used to calculate the number and distribution of ladles at the iron-steel interface under the actual difference between the ladle input and output rates. Based on the ladle's operating status and the set upper and lower limits of empty ladles, the number of empty ladles at the upper and lower lines of the ladle is adjusted to ensure interface operation matching. The specific steps are as follows: S1, read the performance data of the blast furnace side and the converter side and the distribution of the number of ladles on the interface during the iron run period; S2, calculate the blast furnace input rate and steel output rate during this iron period through the kinetic model of ferrite mass flow; S3, calculating the number distribution of ladles in the next period based on the difference between the ladle input rate and the ladle output rate and the ladle turnover model; S4, comparing the distribution of the number of empty ladles in the calculated number of ladles with the set upper and lower limits of the number of empty ladles; S5, by comparing with the upper and lower limits of the empty ladle, determine the upper and lower limits of the molten iron ladle to be adjusted. The upper and lower limits are set according to the safe iron receiving quantity of the enterprise's blast furnace and the long-term operating conditions.

5. A dynamic control system for the "one package to the end" operation mode of the iron and steel interface, characterized in that: It includes a data acquisition module and a processing module. The data acquisition module is used to collect the turnover operation quantity and turnover efficiency of the molten iron ladle at the iron-steel interface. The output end of the data acquisition module is connected to the input end of the processing module. The processing module executes the method according to any one of claims 1 to 4 to perform dynamic control of the iron-steel interface.

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