A sinter- blast furnace collaborative production control method and system under the condition of no finished sinter buffer facility

Abstract

The application discloses a kind of sintering- blast furnace collaborative production control method and system under the condition of no finished sinter buffer facility, belong to steel smelting process control technical field.The virtual buffer system with blast furnace stock as dynamic buffer core is constructed, through real-time monitoring stock data, trigger hierarchical decision logic, dynamically link and adjust blast furnace sinter ore ratio, sintering machine basicity, machine speed and maintenance plan and other key parameters, and innovatively introduce lump ore / limestone as basicity balancing regulator, by establishing the mathematical mapping relationship between sinter ore ratio adjustment amount ΔP and basicity balancing regulator addition amount Q, realize the rapid, accurate decoupling control of material balance and chemical balance.The application also relates to the control system for realizing the method, including data acquisition, intelligent decision and instruction issuing module.The method completely overcomes the production balance problem under the condition of no yard / silo, realizes the dual goal of production stability and cost reduction.

Description

Technical Field

[0001] This invention relates to the field of steel metallurgical process manufacturing and automatic control technology, and in particular to an organization and control method for maintaining continuous, stable and efficient collaborative production between the sintering process and the blast furnace process under conditions where large buffer facilities such as finished sinter stockpiles or silos are lacking, as well as a system for implementing this method. Background Technology

[0002] In traditional large-scale integrated steel enterprises, sintered ore is the main raw material for blast furnace ironmaking, and its stable supply is crucial for the smooth operation of the blast furnace. To ensure coordinated production between the two major processes of sintering and blast furnace, the industry generally sets up large finished sintered ore stockpiles or silos after the sintering machine and before the blast furnace. This buffer facility effectively resolves the mismatch between the production rhythms of the two processes. When the sintering machine undergoes planned maintenance or experiences a temporary malfunction, the blast furnace can draw material from the stockpile to ensure continuous production; conversely, when the blast furnace's demand decreases, excess sintered ore can be stored in the stockpile, thereby ensuring the stable operation of the sintering machine.

[0003] However, as the steel industry moves towards intensification and large-scale production, upgrading outdated equipment has become an inevitable choice to improve efficiency, reduce energy consumption, and decrease emissions. Modern steel enterprises, facing multiple challenges such as environmental pressures, urban land constraints, technological upgrades, and cost reduction and efficiency improvement, have also led to the shutdown of previously large-scale finished sinter stockpiles. Consequently, the sintering-blast furnace production system has shifted from a traditional "buffered connection" to a direct "rigid connection." This means that any abnormal fluctuations in either side—whether a temporary sintering machine malfunction, changes in blast furnace demand, or planned maintenance—will directly impact the stability of the other, significantly increasing the vulnerability of the entire production system. The lack of buffer facilities makes maintaining a dynamic balance between sintering and blast furnace extremely difficult, rendering traditional stockpile-based scheduling experience ineffective.

[0004] Faced with this new challenge, while existing technologies offer localized improvements such as blast furnace trough management and sintering machine parameter optimization, they all lack a systemic approach and cannot fundamentally solve the system balance problem under "rigid connection" conditions. Therefore, the industry urgently needs an innovative and systematic production organization and control system that can ensure the continuous, stable, and efficient coordinated operation of the two main processes—sintering and blast furnace—under extreme conditions where there are no finished sinter buffer facilities. Summary of the Invention

[0005] The purpose of this invention is to overcome the technical defects of existing technologies, such as poor system stability, delayed fluctuation response, and difficulty in coordinating and controlling material balance and chemical balance due to the rigid connection between sintering and blast furnace processes under the condition of no finished sinter buffer facilities. The invention provides a hierarchical adaptive control method and system that can realize sintering-blast furnace collaborative production with blast furnace storage as the dynamic buffer core.

[0006] In a first aspect, the present invention provides a sintering-blast furnace coordinated production control system under conditions of no finished sinter buffer facility, comprising: The data acquisition module is used to collect sinter ore bin storage data of the blast furnace group in real time; The intelligent decision-making module is connected to the data acquisition module. The intelligent decision-making module has a preset storage safety range and generates hierarchical control instructions based on the deviation of the storage data from the storage safety range. An instruction issuing module connected to the intelligent decision-making module is used to send the graded control instruction to the blast furnace batching system and / or the sintering machine control system; The intelligent decision-making module includes a material-alkalinity decoupling control unit. This control unit stores a mathematical mapping relationship model Q = f(ΔP, R0) between the sinter ratio adjustment amount ΔP and the alkalinity balance regulator addition amount Q, where R0 is the target slag alkalinity. When the graded control instruction involves adjusting the blast furnace sinter ratio, the material-alkalinity decoupling control unit calculates the alkalinity balance regulator addition amount Q based on the sinter ratio adjustment amount ΔP and the target slag alkalinity R0, and generates an instruction to synchronously adjust the alkalinity balance regulator.

[0007] In some instances, the intelligent decision-making module also includes a maintenance matching unit, which is used to establish a blast furnace-sintering machine maintenance matching model based on the capacity and maintenance duration of the sintering machine and the blast furnace, and generate collaborative maintenance plan instructions.

[0008] In some instances, the intelligent decision-making module further includes a capacity limit tapping unit, which generates instructions to perform enhanced operations on non-maintenance sintering machines during sintering machine maintenance. The enhanced operations include at least one of the following: switching to full coke powder combustion, increasing quicklime consumption, temporarily discontinuing sintering dust removal on the day of maintenance, increasing the return ore storage 24 hours before maintenance, and increasing the return ore ratio during maintenance.

[0009] In some instances, the mathematical mapping relationship model Q = f(ΔP, R0) is a dynamic model established based on regression analysis or thermodynamic calculations of historical production data, and the intelligent decision-making module is also used to periodically obtain the latest production data to verify and update the parameters of the mathematical mapping relationship model.

[0010] Secondly, the present invention provides a method for controlling the coordinated production of sintering and blast furnace under conditions of no finished sinter buffer facility, comprising: Real-time acquisition of sinter bin storage data from blast furnace groups; Determine whether the stored data deviates from the preset safe storage range; When the stored data deviates from the safe range of the stored data, a graded control strategy is triggered according to the direction and degree of deviation. In the aforementioned graded control strategy, if it is necessary to adjust the blast furnace sinter ratio, material-basicity decoupling control is executed simultaneously: based on the preset mathematical mapping relationship model Q = f(ΔP, R0), the amount of basicity balance regulator added Q is calculated from the sinter ratio adjustment amount ΔP and the target slag basicity R0, and instructions to adjust the sinter ratio and add basicity balance regulator are issued simultaneously.

[0011] In some instances, the safe storage range for blast furnaces is set at 85% to 95% of the total full storage capacity of the blast furnace group.

[0012] In some instances, the graded control strategy includes: when the blast furnace sintering data is higher than the upper limit of the safe range, a primary response is triggered: the proportion of blast furnace sintering is increased, and acidic lump ore is added simultaneously as an alkalinity balance regulator according to the mathematical mapping relationship model; if the blast furnace sintering data continues to be higher than the upper limit of the safe range for more than a first preset time, a secondary response is triggered: the target value of the sintering alkalinity center value is lowered. When the blast furnace sinter inventory data falls below the lower limit of the safe range, a primary response is triggered: the proportion of blast furnace sinter is reduced, and alkaline flux is added simultaneously as an alkalinity balance regulator according to the mathematical mapping relationship model. If the blast furnace sinter inventory data continues to fall below the lower limit of the safe range for more than the second preset time, a secondary response is triggered: the target value of the sinter alkalinity center value is increased.

[0013] In some instances, the mathematical mapping model Q = f(ΔP, R0) is specifically expressed as: Q = k × |ΔP| × (R0 - R i ) + b, where |ΔP| is the absolute value of the sinter proportion adjustment, R i denoted as the predicted alkalinity of the current slag, k is the proportionality coefficient related to the type of regulator, and b is the correction term.

[0014] In some instances, when the sinter ratio adjustment amount ΔP is positive, the alkalinity balance regulator is acidic lump ore, and the proportionality coefficient k in the mathematical mapping relationship model is negative; when the sinter ratio adjustment amount ΔP is negative, the alkalinity balance regulator is alkaline flux, and the proportionality coefficient k in the mathematical mapping relationship model is positive.

[0015] In some instances, the method further includes a maintenance coordination control step: when the sintering machine is scheduled for maintenance, a blast furnace matching the capacity of the sintering machine to be maintained is selected for synchronous maintenance according to the blast furnace-sintering machine maintenance matching model; and a capacity limit tapping operation is initiated for the non-maintenance sintering machine, the capacity limit tapping operation including at least one of the following: switching to full coke powder combustion, increasing quicklime consumption, temporarily stopping the use of sintering dust removal ash on the day of maintenance, increasing the return ore storage 24 hours before maintenance, and increasing the return ore ratio during maintenance.

[0016] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects: The technical solution of this invention produces significant beneficial effects by constructing a hierarchical adaptive method system. First, by establishing a dynamic buffer layer centered on the blast furnace storage tank, the traditional static buffering model relying on physical stockpiles is transformed into a distributed, dynamically adjustable virtual buffer system, greatly enhancing the resilience of the production system to short-term fluctuations and gaining a critical time window for handling sudden failures. Second, an innovative material-alkalinity decoupling control mechanism is introduced, achieving synchronous linkage between proportion adjustment and alkalinity balance through a preset mathematical mapping function. This fundamentally solves the industry problem of chemical composition fluctuations caused by changes in material flow, transforming the traditional lagging, passive adjustment mode into rapid, precise, and proactive control, significantly improving the stability of blast furnace operation. Finally, by establishing a blast furnace-sintering machine maintenance matching model and a corresponding capacity limit technology package, the core contradiction of difficulty in balancing maintenance under conditions without buffer facilities is systematically resolved. This not only ensures the safe implementation of planned maintenance but also maximizes the capacity of existing equipment through temporary reinforcement measures. This invention achieves stable operation of the sintering-blast furnace system while effectively reducing the costs and dust emissions caused by the construction and maintenance of the stockpile. It promotes the development of steel production towards intensification, greening, and intelligence, and has important reference value for similar process industries. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of another method provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the system structure provided in an embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] In the following description, specific embodiments of the invention will be illustrated with reference to steps and symbols performed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be referred to several times as being performed by a computer, and computer execution as referred to herein includes operations by a computer processing unit representing electronic signals of data in a structured format. This operation transforms the data or maintains it at a location in the computer's memory system, which can be reconfigured or otherwise alter the operation of the computer in a manner well known to those skilled in the art. The data structure maintained by the data is the physical location of the memory, which has specific characteristics defined by the data format. However, the principles of the invention described above are not intended to be limiting, and those skilled in the art will understand that many of the following steps and operations can also be implemented in hardware.

[0021] The terms "module" or "unit" as used herein can be considered as software objects executing on the computing system. Different components, modules, engines, and services described herein can be considered as implementations on the computing system. The apparatus and methods described herein are preferably implemented in software, but can also be implemented in hardware, both of which are within the scope of this invention.

[0022] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in this specification means the presence of features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. It should be understood that when we say an element is “connected” or “coupled” to another element, it can be directly connected or coupled to the other element, or there may be intermediate elements. Furthermore, “connected” or “coupled” as used herein can include wireless connections or wireless coupling. The term “and / or” as used herein includes all or any units and all combinations of one or more associated listed items.

[0023] In this embodiment of the invention, a method for controlling the coordinated production of sintering and blast furnace under conditions of no finished sinter buffer facility is provided, such as... Figure 1 As shown, it includes the following steps: S101: Real-time acquisition of sinter ore bin storage data for blast furnace groups; S102: Determine whether the slot data deviates from the preset slot safety range; S103: When the stored data deviates from the safe range of the stored data, a graded control strategy is triggered according to the direction and degree of deviation; S104: In the graded control strategy, if it is necessary to adjust the blast furnace sinter ratio, the material-basicity decoupling control is executed simultaneously: according to the preset mathematical mapping relationship model Q = f(ΔP, R0), the amount of basicity balance regulator added Q is calculated from the sinter ratio adjustment amount ΔP and the target slag basicity R0, and instructions to adjust the sinter ratio and add basicity balance regulator are issued at the same time.

[0024] The specific implementation process is as follows: Figure 2 As shown, it includes: 1. Establishment of a dynamic buffer layer (refined management and control of blast furnace trough storage) Set a dynamic buffer target: Use the total blast furnace tank capacity as the core buffer parameter, and set its safe operating range to 85% to 95% of the full tank capacity. For example, when the total full tank capacity is about 24,000 tons, the control target is ≥21,000 tons (about 87.5%).

[0025] Real-time monitoring and early warning: The system collects real-time data on the blast furnace tank inventory through tank level gauges and calculates the total tank inventory. When the total tank inventory deviates from the safe range, the system triggers different levels of early warning and response strategies.

[0026] 2. Intelligent Decision-Making and Execution Layer (Multi-Scenario Adaptive Balancing Strategy) A material-basicity decoupling control mechanism was established and applied to achieve rapid and accurate response to production fluctuations. The core of this mechanism lies in pre-setting a mathematical mapping relationship between the sinter mix adjustment amount (ΔP) and the amount of basicity balance regulator added (Q) under different production scenarios, i.e., the function Q = f(ΔP, R0), where R0 is the target slag basicity. This function is determined through historical data regression or thermodynamic calculation models. Based on this core mechanism, the system triggers the following graded response strategies according to the blast furnace slag condition and executes decoupling control.

[0027] When the blast furnace slag basicity is too high: the system first initiates a primary response, which simultaneously increases the blast furnace sinter ratio (ΔP is a positive value, such as increasing it by 3-5%), and calculates and adds an appropriate amount of acidic lump ore (such as adding 5-15 kg of Hainan lump ore per ton of molten iron) according to the function Q = f(ΔP, R0) to neutralize the increase in slag basicity caused by the increased ratio. If this state continues for more than 24 hours, a secondary response is initiated, lowering the target central value of sinter basicity by 0.05-0.15 to achieve system balance from the source.

[0028] When blast furnace sinter inventory is low: The system first attempts to tap into the sintering machine's own capacity. If this is still insufficient, a primary response is initiated, simultaneously reducing the blast furnace sinter mix ratio (ΔP is negative, such as a reduction of 3-5%), and calculating and adding an appropriate amount of basic flux (such as 10-20 kg of limestone per ton of molten iron) based on the function Q = f(ΔP, R0) to compensate for the decrease in basicity caused by the reduced mix ratio. If this state is expected to last for more than 48 hours, a secondary response is initiated, raising the target center value of sinter basicity for long-term adjustment.

[0029] Furthermore, the theoretical foundation and construction methods of functional relations include: This method constructs a mapping model between the amount of regulator added, the amount of ratio adjustment, and alkalinity deviation by training a large amount of historical production data using multiple linear regression or machine learning, thus determining the specific form of the function f. A simplified linear regression model example is as follows: Q = k × |ΔP| × (R0- R i ) + b Variable descriptions: Q: Adjuster addition amount (kg / ton of iron); ΔP: Sinter ratio adjustment amount (%). The absolute value represents the adjustment range, which is the core influencing factor; R0: Target slag basicity (binary basicity, CaO / SiO2), which is the given target of the model; R i : Predicted basicity of the current slag. This value is calculated from the current burden structure (before adjustment) and reflects the basicity value that would result if no intervention were taken after adjusting ΔP. R0- R i This refers to the alkalinity deviation that needs to be compensated.

[0030] Parameters determined. k (proportionality coefficient): derived from regression analysis, representing the amount of adjustment required per unit change in proportion and per unit deviation in alkalinity; this coefficient is strongly correlated with the type of regulator: when using acidic lump ore to balance the increase in alkalinity caused by increasing the proportion of sinter (ΔP>0), the value of k is negative; when using limestone (alkaline) to balance the decrease in alkalinity caused by decreasing the proportion of sinter (ΔP<0), the value of k is positive; b (correction term): a constant term obtained from regression, used to correct for other subtle factors not considered in the model.

[0031] Parameters are dynamically updated. The coefficients in the model (such as k and b) are not fixed. The system periodically (e.g., monthly) verifies and updates the model using the latest production data to adapt to fluctuations in raw material composition, changes in equipment status, etc., ensuring long-term control accuracy. In more complex model versions, the function f can consider more variables: f(ΔP, R0, [Si]): considers the [Si] content of molten iron as an indicator of the blast furnace thermal state, allowing for fine-tuning of the adjustment amount. f(ΔP, R0, T): considers the temperature (T) of the sinter, as it affects the reaction efficiency of the flux.

[0032] 3. Collaborative scheduling layer (precise matching for maintenance) A blast furnace-sintering machine maintenance matching mechanism is established, which precisely matches equipment capacity with maintenance duration. For large-capacity blast furnaces (e.g., 3200m³ and above), their maintenance is matched with the scheduled maintenance cycle of a sintering machine; for smaller-capacity blast furnaces undergoing maintenance, dynamic balancing is achieved by temporarily arranging a short-term shutdown (8-24 hours) of another blast furnace, thereby ensuring a basic balance between the total supply and demand of sinter during the maintenance period.

[0033] Secondly, during the maintenance schedule, a "capacity limit technology package" for sintering will be activated to implement temporary enhancement measures on non-maintenance sintering machines in order to make up for the capacity gap to the greatest extent possible. This technology package includes, but is not limited to: 1) switching to full coke powder combustion to improve combustion efficiency; 2) temporarily increasing quicklime consumption by 0.3%-0.7% to improve the pelletizing and permeability of the mixture; 3) temporarily discontinuing the use of sintering dust collector ash on the day of maintenance to stabilize the chemical composition of the mixture; 4) increasing the return ore storage by about 20% 24 hours before maintenance and increasing the return ore ratio by 1-3% during maintenance to optimize the particle size distribution of the material layer.

[0034] In another embodiment of the present invention, a production collaborative control example is provided for a steel enterprise under conditions where there is no finished sinter stockpile. This embodiment uses a steel company as the application scenario. The plant has 3 sintering machines that supply sintered ore to 5 blast furnaces, and has no finished sintered ore stockpile or silo.

[0035] I. Dynamic Balance Control During Normal Production The system sets the dynamic safety range for the total sinter inventory in the blast furnace group to 85%-95% of the full inventory (approximately 24,000 tons), i.e., 20,400 to 22,800 tons. During normal production, the control target is no less than 21,000 tons.

[0036] One day, the system detected that the total blast furnace ore inventory had continued to rise to 23,000 tons (above the upper limit of the safe range), triggering a "high inventory" warning. The system initiated a primary response, deciding to uniformly increase the sinter ratio of each blast furnace by 4% (i.e., ΔP = +4%). While issuing the instruction to the blast furnace charging system to increase the ratio, the system automatically calculated, based on the decoupled control function Q = f(+4%, 1.18), that 12 kg of Hainan lump ore needed to be added to each ton of molten iron.

[0037] While increasing the amount of sinter used in the blast furnace, the slag basicity remained stable within the target range of 1.18±0.02 due to the simultaneous addition of acidic lump ore. This effectively digested the excess sinter and avoided production fluctuations.

[0038] II. Coordination and capacity maximization during planned maintenance periods A 48-hour scheduled overhaul is planned for a 660m² sintering machine.

[0039] According to the "Blast Furnace-Sintering Machine Maintenance Matching Model," a 3200m³ blast furnace and the 660m² sintering machine were selected for scheduled maintenance simultaneously. 24 hours before the maintenance began, the system instructed the following actions: switch the fuel of the operating 550m² sintering machine to all coke powder; temporarily increase the quicklime consumption of the 550m² sintering machine from 4.0% to 4.5%; and increase the return ore storage by 20% in advance to prepare for increasing the return ore ratio during the maintenance period.

[0040] Maintenance process control: The 660m² sintering machine and its matching blast furnace were shut down for maintenance as planned. The 550m² sintering machine, which was in operation, saw its daily output increase by approximately 5% under the "capacity limit technology package." The system balanced supply and demand by consuming the remaining blast furnace's sintering tank inventory. The total sintering tank inventory slowly decreased from 22,000 tons before the maintenance, but remained above the warning line of 19,000 tons, resulting in stable production.

[0041] III. Emergency Response and Decoupling Control under Sudden Failures During the maintenance of the aforementioned 660m² sintering machine, another 550m² sintering machine experienced a sudden equipment failure and is expected to be shut down for 3 hours.

[0042] The system detected a shortage in sinter supply and a risk of a rapid decline in total blast furnace inventory, immediately triggering a "low inventory" emergency response. After assessment, the system decided to temporarily reduce the sinter mix ratio of the affected 4117m³ blast furnace by 5% (i.e., ΔP = -5%). Simultaneously with issuing the reduction instruction, the system calculated, based on the function Q = f(-5%, 1.20), that 18 kg / ton of limestone needed to be added to the blast furnace at the same time.

[0043] After the blast furnace burden structure was changed, the slag basicity was successfully stabilized near the target value of 1.20 due to the timely replenishment of alkaline flux limestone, and the blast furnace operation was not significantly affected. The fault was resolved 3 hours later, and the system restored the original proportion and limestone addition amount according to the reverse logic.

[0044] Through the application of this embodiment, the steel plant successfully coped with multiple challenges such as daily fluctuations, planned maintenance, and sudden failures after completely eliminating the finished sinter stockpile. The blast furnace shutdown rate was reduced to below 0.5%, production stability was significantly improved, and the operating costs and land resources of the stockpile were saved, achieving the production goals of safety, stability, and low cost.

[0045] In another embodiment of the present invention, to facilitate better implementation of the method provided in the embodiments of the present invention, the present invention also provides a system based on the above method. The meanings of the terms are the same as in the above method, and specific implementation details can be found in the description of the method embodiments.

[0046] Please see Figure 3 , Figure 3 This is a schematic diagram of the system provided in an embodiment of the present invention. The system may include a data acquisition module 301, an intelligent decision-making module 302 connected to the data acquisition module 301, and an instruction issuing module 303 connected to the intelligent decision-making module 302, wherein: Data acquisition module 301 is used to collect sinter ore bin storage data of blast furnace group in real time; The intelligent decision-making module 302 has a preset safe range for the storage slots, and generates hierarchical control instructions based on the deviation of the storage data from the safe range. The instruction issuing module 303 is used to send the graded control instructions to the blast furnace batching system and / or the sintering machine control system; The intelligent decision-making module 302 includes a material-alkalinity decoupling control unit. The material-alkalinity decoupling control unit stores a mathematical mapping relationship model Q = f(ΔP, R0) between the sinter ratio adjustment amount ΔP and the alkalinity balance regulator addition amount Q, where R0 is the target slag alkalinity. When the graded control command involves adjusting the blast furnace sinter ratio, the material-alkalinity decoupling control unit calculates the alkalinity balance regulator addition amount Q based on the sinter ratio adjustment amount ΔP and the target slag alkalinity R0, and generates a command to synchronously adjust the alkalinity balance regulator.

[0047] Furthermore, the intelligent decision-making module 302 also includes a maintenance matching unit, which is used to establish a blast furnace-sintering machine maintenance matching model based on the capacity and maintenance duration of the sintering machine and the blast furnace, and generate collaborative maintenance plan instructions.

[0048] Furthermore, the intelligent decision-making module 302 also includes a capacity limit tapping unit, which is used to generate instructions for performing enhanced operations on non-maintenance sintering machines during sintering machine maintenance. The enhanced operations include at least one of the following: switching to full coke powder combustion, increasing quicklime consumption, temporarily stopping the use of sintering dust removal ash on the day of maintenance, increasing the return ore storage 24 hours before maintenance, and increasing the return ore ratio during maintenance.

[0049] Furthermore, the mathematical mapping relationship model Q = f(ΔP, R0) is a dynamic model established based on regression analysis or thermodynamic calculations of historical production data, and the intelligent decision module 302 is also used to periodically obtain the latest production data to verify and update the parameters of the mathematical mapping relationship model.

[0050] Furthermore, the graded control strategy indicated by the graded control command includes: when the blast furnace sintering data is higher than the upper limit of the safe range, a primary response is triggered: the proportion of blast furnace sintering is increased, and acidic lump ore is added simultaneously as an alkalinity balance regulator according to the mathematical mapping relationship model; if the blast furnace sintering data continues to be higher than the upper limit of the safe range for more than the first preset time, a secondary response is triggered: the target value of the sintering alkalinity center value is lowered. When the blast furnace sinter inventory data falls below the lower limit of the safe range, a primary response is triggered: the proportion of blast furnace sinter is reduced, and alkaline flux is added simultaneously as an alkalinity balance regulator according to the mathematical mapping relationship model; if the blast furnace sinter inventory data continues to fall below the lower limit of the safe range for more than the second preset time, a secondary response is triggered: the target value of the sinter alkalinity center value is increased.

[0051] The foregoing has provided a detailed description of a sintering-blast furnace co-production control method and system under conditions of no finished sinter buffer facility provided by the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for controlling the coordinated production of sintering and blast furnace under conditions of no finished sinter buffer facility, characterized in that, include: Real-time acquisition of sinter bin storage data from blast furnace groups; Determine whether the stored data deviates from the preset safe storage range; When the stored data deviates from the safe range of the stored data, a graded control strategy is triggered according to the direction and degree of deviation. In the aforementioned graded control strategy, if it is necessary to adjust the blast furnace sinter ratio, material-basicity decoupling control is executed simultaneously: based on the preset mathematical mapping relationship model Q = f(ΔP, R0), the amount of basicity balance regulator added Q is calculated from the sinter ratio adjustment amount ΔP and the target slag basicity R0, and instructions to adjust the sinter ratio and add basicity balance regulator are issued simultaneously.

2. The method according to claim 1, characterized in that, The safe storage range for blast furnaces is set at 85% to 95% of the total full storage capacity of the blast furnace group.

3. The method according to claim 1, characterized in that, The graded control strategy includes: when the blast furnace sintering data is higher than the upper limit of the safe range, a primary response is triggered: the proportion of blast furnace sintering is increased, and acidic lump ore is added simultaneously as an alkalinity balance regulator according to the mathematical mapping relationship model; if the blast furnace sintering data continues to be higher than the upper limit of the safe range for more than a first preset time, a secondary response is triggered: the target value of the sintering alkalinity center value is lowered. When the blast furnace sinter inventory data falls below the lower limit of the safe range, a primary response is triggered: the proportion of blast furnace sinter is reduced, and alkaline flux is added simultaneously as an alkalinity balance regulator according to the mathematical mapping relationship model. If the blast furnace sinter inventory data continues to fall below the lower limit of the safe range for more than the second preset time, a secondary response is triggered: the target value of the sinter alkalinity center value is increased.

4. The method according to any one of claims 1 to 3, characterized in that, The mathematical mapping relationship model Q = f(ΔP, R0) is specifically expressed as: Q = k × |ΔP| × (R0 - R i ) + b, where |ΔP| is the absolute value of the sinter proportion adjustment, R i denoted as the predicted alkalinity of the current slag, k is the proportionality coefficient related to the type of regulator, and b is the correction term.

5. The method according to claim 4, characterized in that, When the sinter ratio adjustment amount ΔP is positive, the alkalinity balance regulator is acidic lump ore, and the proportional coefficient k in the mathematical mapping relationship model is negative; when the sinter ratio adjustment amount ΔP is negative, the alkalinity balance regulator is alkaline flux, and the proportional coefficient k in the mathematical mapping relationship model is positive.

6. The method according to claim 5, characterized in that, The method also includes a maintenance coordination control step: when the sintering machine is scheduled for maintenance, according to the blast furnace-sintering machine maintenance matching model, a blast furnace matching the capacity of the sintering machine under maintenance is selected for synchronous maintenance; and a capacity limit tapping operation is initiated for the non-maintenance sintering machine, the capacity limit tapping operation including at least one of the following: switching to full coke powder combustion, increasing quicklime consumption, temporarily stopping the use of sintering dust removal ash on the day of maintenance, increasing the return ore storage 24 hours before maintenance, and increasing the return ore ratio during maintenance.

7. A sintering-blast furnace collaborative production control system under conditions of no finished sinter buffer facility, characterized in that, include: The data acquisition module is used to collect sinter ore bin storage data of the blast furnace group in real time; The intelligent decision-making module is connected to the data acquisition module. The intelligent decision-making module has a preset storage safety range and generates hierarchical control instructions based on the deviation of the storage data from the storage safety range. An instruction issuing module connected to the intelligent decision-making module is used to send the graded control instruction to the blast furnace batching system and / or the sintering machine control system; The intelligent decision-making module includes a material-alkalinity decoupling control unit. This control unit stores a mathematical mapping relationship model Q = f(ΔP, R0) between the sinter ratio adjustment amount ΔP and the alkalinity balance regulator addition amount Q, where R0 is the target slag alkalinity. When the graded control instruction involves adjusting the blast furnace sinter ratio, the material-alkalinity decoupling control unit calculates the alkalinity balance regulator addition amount Q based on the sinter ratio adjustment amount ΔP and the target slag alkalinity R0, and generates an instruction to synchronously adjust the alkalinity balance regulator.

8. The system according to claim 7, characterized in that, The intelligent decision-making module also includes a maintenance matching unit, which is used to establish a blast furnace-sintering machine maintenance matching model based on the capacity and maintenance duration of the sintering machine and the blast furnace, and generate collaborative maintenance plan instructions.

9. The system according to claim 8, characterized in that, The intelligent decision-making module also includes a capacity limit mining unit, which is used to generate instructions for performing enhanced operations on non-maintenance sintering machines during sintering machine maintenance. The enhanced operations include at least one of the following: switching to full coke powder combustion, increasing quicklime consumption, temporarily stopping the use of sintering dust removal ash on the day of maintenance, increasing the return ore storage 24 hours before maintenance, and increasing the return ore ratio during maintenance.

10. The system according to claim 9, characterized in that, The mathematical mapping relationship model Q = f(ΔP, R0) is a dynamic model established based on regression analysis or thermodynamic calculations of historical production data. The intelligent decision-making module is also used to periodically obtain the latest production data to verify and update the parameters of the mathematical mapping relationship model.

Images