Air volume distribution prediction method, device, electronic device and storage medium

Abstract

A method, device, electronic device and storage medium for predicting air volume distribution in the embodiment of the present invention determine the resistance of the small sleeve pipeline through the current input air volume, the number of small sleeves, the type of small sleeve, and the preset small sleeve type-characteristic cross-section mapping relationship during the operation of the blast furnace, and determine the operating density, the operating single tuyere air volume and the operating total air volume according to the operating small sleeve type and the number of operating small sleeves after the small sleeve is replaced, adjust and obtain a new initial single tuyere air volume until the difference degree reaches a preset degree threshold, and perform air volume distribution prediction based on the adjusted corresponding air volume data. This method directly obtains the corresponding air volume data according to the small sleeve type based on the pre-established small sleeve type mapping relationship, reduces the workload and time consumed by numerical simulation calculations, can promptly perform relevant calculations based on the acquired real-time data, improves timeliness, and after determining the air volume related data, performs data adjustment and iterative calculations based on the degree of numerical difference to ensure numerical accuracy.

Description

Technical Field

[0001] The present application relates to the field of blast furnace smelting, and in particular to an air volume distribution prediction method, device, electronic equipment and storage medium. Background Art

[0002] The uniformity of blast furnace tuyere and the adjustment of blast parameters are crucial to the longevity, high efficiency, energy conservation and emission reduction of blast furnace. Uneven tuyere will lead to inconsistent activity of the furnace in the circumferential direction of the blast furnace, and affect the quality of pig iron in the blast furnace. Therefore, the adjustment of blast parameters is an important part of the daily operation of the blast furnace. Predicting the blast furnace air volume based on relevant theoretical foundations and the blast furnace operation status can effectively reduce the workload of adjusting the blast furnace air volume and replacing blast furnace components.

[0003] Due to the complexity of the on-site blast furnace air supply system and the difficulty of detection, the uniformity of the blast furnace tuyere and the blast parameters cannot be directly obtained. Generally, the method of calculating the air volume using the observable numerical values ​​of the blast furnace is used to determine the adjustment of the blast furnace tuyere uniformity and blast parameters. However, the air supply system pipelines are complex, and the numerical calculation consumes a lot of computing resources and time. It is impossible to efficiently determine the uniformity of the blast furnace tuyere and the subsequent adjustment amount of the blast furnace blast parameters. Moreover, after replacing the relevant blast furnace tuyere components, there are defects such as large workload and low timeliness in calculating the relevant air volume distribution. Secondly, after determining the relevant blast furnace tuyere uniformity and the adjustment amount of the blast parameters, the accuracy of the blast furnace air volume prediction cannot be guaranteed. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide an air volume distribution prediction method, device, electronic device and storage medium to solve the problems of large workload and low timeliness of air volume distribution calculation and uncertainty of the accuracy of blast furnace air volume prediction.

[0005] The present invention provides a method for predicting air volume distribution, the method comprising: obtaining the current input air volume, the current number of tuyere sets, and the current type of tuyere sets during the operation of a blast furnace; determining the initial single tuyere air volume according to the current input air volume and the current number of tuyere sets, and determining the characteristic cross-section data corresponding to each current tuyere set type according to a preset tuyere set type-characteristic cross-section mapping relationship; determining the initial tuyere density data of a target tuyere set based on the input air volume and the characteristic cross-section data, and determining the initial flow rate based on the initial single tuyere air volume and the initial tuyere density data; determining the tuyere set pipeline resistance based on the preset equivalent resistance coefficient corresponding to the set type of the target tuyere set, the tuyere density data, and the initial flow rate; obtaining the operating tuyere set type and the number of operating tuyere sets after the set is replaced, and determining the initial flow rate based on the preset tuyere set type-characteristic cross-section mapping relationship Determine the operating characteristic cross-sectional data corresponding to each replaced air outlet sleeve type, and determine the operating air outlet density data of the target air outlet sleeve based on the input air supply volume and the operating characteristic cross-sectional data; determine the operating single air outlet air volume and the operating total air volume according to the operating characteristic cross-sectional data, the operating air outlet density data and the air outlet sleeve pipeline resistance; adjust the initial single air outlet air volume according to the difference between the operating total air volume and the current input air supply volume to obtain a new initial single air outlet air volume to determine a new initial flow rate and a new air outlet sleeve pipeline resistance; determine a new single air outlet air volume and a new operating total air volume based on the new air outlet sleeve pipeline resistance, operating characteristic cross-sectional data and operating density, until the difference between the operating total air volume and the input total air volume reaches a preset degree threshold, and perform air volume distribution prediction according to the new single air outlet air volume and the operating density.

[0006] In one embodiment of the present invention, after obtaining the input air supply volume, the number of air outlet sleeves, and the type of air outlet sleeves, the air volume distribution prediction method also includes: obtaining the reference air volume, reference air outlet flow rate and cross-sectional size data of the pre-selected characteristic section; classifying the reference air volume, reference air outlet flow rate and cross-sectional size data of the characteristic section according to the air outlet sleeve type, and generating a reference data set of different air outlet sleeve types; generating an air outlet sleeve type-characteristic cross-sectional mapping relationship data set based on the reference data sets of the different air outlet sleeve types, and determining a preset air outlet sleeve type-characteristic cross-sectional mapping relationship based on the air outlet sleeve type-characteristic cross-sectional mapping relationship data set.

[0007] In one embodiment of the present invention, the determination of the preselected characteristic section includes: taking the center of the blast furnace as the center, drawing a circle with a preset first characteristic section radius, and taking the section intersecting with each hot blast branch pipe as the first characteristic section; selecting any section in the area from the first characteristic section to the air outlet of the tuyere pipe as the second characteristic section, and the second characteristic section does not overlap with the first characteristic section; determining the first characteristic section and the second characteristic section as the preselected characteristic sections.

[0008] In one embodiment of the present invention, obtaining the reference air volume of a preselected characteristic section includes: obtaining the initial air supply volume data of a blast furnace; determining the air volume range of the initial air supply volume data according to the maximum air volume fluctuation of the initial air supply volume data of the blast furnace and a preset air volume fluctuation range expansion coefficient; selecting a preset number of air volume values ​​in the air volume range of the initial air supply volume data, and determining the selected air volume values ​​as the reference air volume of the preset characteristic section.

[0009] In one embodiment of the present invention, after selecting a preset number of air volume values ​​in the air volume range of the initial air supply volume data and determining the selected air volume values ​​as the reference air volume, the air volume distribution prediction method also includes: determining multiple reference equivalent resistance coefficients based on each of the reference air volumes, reference air outlet flow rates and cross-sectional size data of the preset characteristic cross-section, and determining the reference equivalent resistance coefficient as the preset equivalent resistance coefficient; if the current input air supply volume is different from the reference air volume, interpolating among each of the preset equivalent resistance coefficients to determine an equivalent resistance coefficient having a mapping relationship with the current input air supply volume.

[0010] In one embodiment of the present invention, the initial single air outlet air volume is adjusted according to the difference between the total operating air volume and the current input air supply volume, including: if the difference between the total operating air volume and the total input air volume does not reach a preset degree threshold, then the initial single air outlet air volume is adjusted according to the total operating air volume, the current input air supply volume and the initial single air outlet air volume to obtain a new initial single air outlet air volume.

[0011] In one embodiment of the present invention, the method for determining the new initial single air outlet air volume includes: Q avg_i '=Q avg_i / (Q total ' / Q total ) Among them, Q avg_i ' is the new initial single air outlet air volume, Q avg_i is the initial single air outlet air volume, Q total ' is the total air volume, Q total Input the current air supply volume.

[0012] The present invention also provides an air volume distribution prediction device, which includes: a data acquisition module, which is used to obtain the current input air supply volume, the current number of tuyere small sets, and the current tuyere small set type when the blast furnace is in operation; an initial data processing module, which is used to determine the initial single tuyere air volume according to the current input air supply volume and the current number of tuyere small sets, and determine the characteristic cross-section data corresponding to each current tuyere small set type according to a preset tuyere small set type-characteristic cross-section mapping relationship; determine the initial tuyere density data of the target tuyere small set based on the input air supply volume and the characteristic cross-section data, and determine the initial flow rate based on the initial single tuyere air volume and the initial tuyere density data; determine the tuyere small set pipeline resistance loss based on the preset equivalent resistance loss coefficient corresponding to the set type of the target tuyere small set, the tuyere density data, and the initial flow rate; an operation data processing module, which is used to obtain the operating tuyere small set type and the number of operating tuyere small sets after the set is replaced, and determine the initial flow rate based on the preset tuyere small set type-characteristic cross-section mapping relationship. The set type-characteristic cross-section mapping relationship determines the operating characteristic cross-section data corresponding to each replaced air outlet set type, and determines the operating air outlet density data of the target air outlet set based on the input air supply volume and the operating characteristic cross-section data; determines the operating single air outlet air volume and the operating total air volume based on the operating characteristic cross-section data, the operating air outlet density data and the air outlet set pipeline resistance; a prediction and verification module is used to adjust the initial single air outlet air volume according to the difference between the operating total air volume and the current input air supply volume to obtain a new initial single air outlet air volume, so as to determine a new initial flow rate and a new air outlet set pipeline resistance; determines a new single air outlet air volume based on the new air outlet set pipeline resistance, operating characteristic cross-section data and operating density, and a new operating total air volume, until the difference between the operating total air volume and the input total air volume reaches a preset degree threshold, and uses the new single air outlet air volume and the operating density to predict the air volume distribution.

[0013] The present invention also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the wind volume distribution prediction method as described in any one of the above embodiments.

[0014] The present invention also provides a computer-readable storage medium having computer-readable instructions stored thereon. When the computer-readable instructions are executed by a processor of a computer, the computer is enabled to execute the air volume distribution prediction method as described in any one of the above embodiments.

[0015] A method, device, electronic device and storage medium for predicting air volume distribution in the embodiment of the present invention determine the resistance of the small sleeve pipeline through the current input air supply volume, the number of small sleeves, the type of small sleeve, and the preset small sleeve type-characteristic cross-section mapping relationship during the operation of the blast furnace, and determine the operating density, the operating single tuyere air volume and the operating total air volume according to the operating small sleeve type and the number of operating small sleeves after the small sleeve is replaced, adjust and obtain a new initial single tuyere air volume until the difference degree reaches a preset degree threshold, and perform air volume distribution prediction based on the adjusted corresponding air volume data. This method directly obtains the corresponding air volume data according to the small sleeve type based on the pre-established small sleeve type mapping relationship, reduces the workload and time consumed by numerical simulation calculations, can promptly perform relevant calculations based on the acquired real-time data, improves timeliness, and after determining the air volume related data, performs data adjustment and iterative calculations based on the degree of numerical difference to ensure numerical accuracy.

[0016] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0018] Figure 1 is a schematic diagram of an exemplary system architecture shown in an exemplary embodiment of the present application;

[0019] Figure 2 is a flow chart of an air volume distribution prediction method shown in an exemplary embodiment of the present application;

[0020] Figure 3 It is a flowchart of a process for determining a preset tuyere sleeve type-characteristic cross-section mapping relationship shown in an exemplary embodiment of the present application;

[0021] Figure 4 is a schematic diagram of an air supply model shown in an exemplary embodiment of the present application;

[0022] Figure 5 is a flowchart of a specific air volume distribution prediction method shown in an exemplary embodiment of the present application;

[0023] Figure 6 is a schematic diagram of an air volume distribution prediction device shown in an exemplary embodiment of the present application;

[0024] Figure 7is a schematic diagram of a computer system of an electronic device according to an exemplary embodiment of the present application;

[0025] Figure 8 It is a schematic diagram of a specific air volume distribution prediction system shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0026] The following will describe the embodiments of the present invention with reference to the accompanying drawings and specific embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0027] It should be noted that the illustrations provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic manner, and thus the illustrations only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0028] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0029] The "and / or" mentioned in this application describes the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0030] Figure 1 It is a schematic diagram of an exemplary system architecture shown in an exemplary embodiment of the present application.

[0031] Reference Figure 1As shown, the system architecture may include a blast furnace 101 and a computer device 102. The blast furnace 101 is used to obtain the current input air supply volume, the current number of tuyere sets, and the current tuyere set type when the blast furnace is running, and provide them to the computer device 102 for processing. The computer device 102 may be at least one of a microcomputer, an embedded computer, a network computer, and all computer devices that can implement the method described in this embodiment. Relevant technical personnel can implement on the computer device 102 determining the initial single air outlet air volume according to the current input air supply volume and the current number of air outlet small sets, and determining the characteristic cross-section data corresponding to each current air outlet small set type according to the preset air outlet small set type-characteristic cross-section mapping relationship; determining the initial air outlet density data of the target air outlet small set based on the input air supply volume and the said characteristic cross-section data, and determining the initial flow rate based on the initial single air outlet air volume and the initial air outlet density data; determining the air outlet small set pipeline resistance based on the preset equivalent resistance coefficient corresponding to the small set type of the target air outlet small set, the air outlet density data, and the initial flow rate; obtaining the operating air outlet small set type and the number of operating air outlet small sets after replacing the small set, and determining the corresponding air outlet small set type of each replaced air outlet small set based on the preset air outlet small set type-characteristic cross-section mapping relationship. Corresponding operating characteristic section data, and operating air outlet density data of the target air outlet small set determined based on the input air supply volume and the operating characteristic section data; determining the operating single air outlet air volume and the operating total air volume according to the operating characteristic section data, the operating air outlet density data and the air outlet small set pipeline resistance; adjusting the initial single air outlet air volume according to the difference between the operating total air volume and the current input air supply volume, to obtain a new initial single air outlet air volume, so as to determine a new initial flow velocity and a new air outlet small set pipeline resistance; determining a new single air outlet air volume and a new operating total air volume based on the new air outlet small set pipeline resistance, operating characteristic section data and operating density, until the difference between the operating total air volume and the input total air volume reaches a preset degree threshold, and making an air volume distribution prediction according to the new single air outlet air volume and operating density.

[0032] Schematically, the computer device 102 obtains the current input air supply volume, number of small sets, type of small sets, and preset small set type-characteristic cross-section mapping relationship of the blast furnace 101 to determine the resistance of the small set pipeline, and determines the operating density, operating single tuyere air volume and operating total air volume according to the operating small set type and the number of operating small sets after the small set is replaced, adjusts and obtains a new initial single tuyere air volume until the difference degree reaches a preset degree threshold, and performs air volume distribution prediction based on the adjusted corresponding air volume data. This method directly obtains the corresponding air volume data according to the small set type based on the pre-established small set type mapping relationship, reduces the workload and time consumed in numerical simulation calculations, can promptly perform relevant calculations based on the acquired real-time data, improves timeliness, and after determining the air volume related data, performs data adjustment and iterative calculations based on the degree of numerical difference to ensure numerical accuracy.

[0033] Figure 2 is a flowchart of an exemplary embodiment of the present invention showing a method for predicting air volume distribution. The method for predicting air volume distribution can be executed by a computing and processing device. The computing and processing device can be Figure 1 The computer device 102 shown in FIG. Figure 2 As shown, the flowchart of the blast furnace status monitoring method includes at least steps S210 to S280, which are described in detail as follows:

[0034] In step S210, the current input air supply volume, the current number of tuyere small sets, and the current type of tuyere small sets during the operation of the blast furnace are obtained.

[0035] In one embodiment of the present application, the acquisition of the current tuyere sleeve type needs to first determine the tuyere sleeve diameter type and the tuyere sleeve length type of the tuyere sleeve, combine the tuyere sleeve diameter type and the tuyere sleeve length type, determine all types of the tuyere sleeve diameter-length combination, and each combination type maps to a corresponding tuyere sleeve type. For example, the tuyere sleeve diameter has four types of 110mm, 115mm, 120mm and 130mm, and the sleeve length is 600mm. When the steel plant replaces the sleeve, the possible sleeve size combinations are D110L600, D115L600, D120L600 and D130L600, which correspond to four types of sleeve types: D110L600, D115L600, D120L600 and D130L600.

[0036] In one embodiment of the present application, after determining the type of the tuyere sleeve, a tuyere sleeve geometric model with a mapping relationship can be established according to the tuyere sleeve type to perform offline calculations on the data of the tuyere sleeve, and load the corresponding model boundary conditions based on the tuyere sleeve geometric model. The model boundary conditions are determined based on the selected reference air volume value, and a preset number of related air volume parameters are calculated offline in different tuyere sleeve types. The setting of the preset number of related air volume parameters is set according to the prediction value accuracy requirements and the data acquisition value interval, and can be adjusted according to the actual application requirements, and the determination of this number is not limited here.

[0037] In one embodiment of the present application, after obtaining the input air supply volume, the number of air outlet sets, and the type of air outlet sets, the air volume distribution prediction method also needs to determine the preset air outlet set type-characteristic cross-section mapping relationship. The determination process of the preset air outlet set type-characteristic cross-section mapping relationship can be performed in Figure 3 The process of determining the preset tuyere sleeve type-characteristic cross-section mapping relationship is performed in a flowchart of an exemplary embodiment shown in FIG. Figure 3 As shown, the following steps are included:

[0038] In step S310, the reference air volume, reference air outlet flow rate and cross-sectional dimension data of the pre-selected characteristic cross section are obtained.

[0039] In one embodiment of the present application, the determination of the preselected characteristic section requires taking the center of the blast furnace as the center of the circle, drawing a circle with a preset first characteristic section radius, and taking the section intersecting with each hot blast branch pipe as the first characteristic section, and selecting any section in the area from the first characteristic section to the air outlet of the tuyere pipe as the second characteristic section, wherein the second characteristic section does not overlap with the first characteristic section, and the first characteristic section and the second characteristic section are determined as the preselected characteristic sections.

[0040] Figure 4 is a schematic diagram of an air supply model shown in an exemplary embodiment of the present application, such as Figure 4 As shown, the hot blast enters the enclosure pipe A2 from the interface between the hot blast main pipe A1 and the hot blast enclosure pipe A2, and then is distributed to each hot blast branch pipe A3 one by one, and then passes through the straight blowing pipe, the tuyere small sleeve A4, and finally is sent to the blast furnace bosh through the tuyere, and forms a tuyere raceway A5 at the front end of the tuyere. With the center of the blast furnace as the center of the circle, a circle is drawn with a preset first characteristic section radius, and the section A6 intersecting with each hot blast branch pipe A3 is used as the first characteristic section of the corresponding tuyere, and the tuyere pipeline is divided into the front area of ​​the small sleeve and the rear area of ​​the small sleeve by the first characteristic section, and the inner section A7 of the tuyere small sleeve outlet is selected as the second characteristic section in the rear area of ​​the small sleeve.

[0041] In one embodiment of the present application, in addition to the selection of characteristic sections, it is also necessary to obtain the tuyere vortex zone data, wherein the tuyere vortex zone refers to the tuyere hot air vortex area formed at the front end of the tuyere when the hot air is sent into the blast furnace bosh through the tuyere.

[0042] In step S320, the reference air volume, reference air outlet velocity and cross-sectional dimension data of the characteristic cross section are classified according to the type of the air outlet sleeve, and reference data sets of different air outlet sleeve types are generated.

[0043] In one embodiment of the present application, to obtain the reference air volume of a preselected characteristic section, it is necessary to first obtain the initial air supply volume data of the blast furnace, and then determine the air volume range of the initial air supply volume data based on the maximum air volume fluctuation of the initial air supply volume data of the blast furnace and a preset air volume fluctuation range expansion coefficient, select a preset number of air volume values ​​within the air volume range of the initial air supply volume data, and determine the selected air volume value as the reference air volume of the preset characteristic section.

[0044] In one embodiment of the present application, different from the above-mentioned embodiments, after determining the air volume range of the initial air supply volume data, the implementation scheme can select the air volume data of each branch pipe of the blast furnace in the initial state as the reference air volume data, and perform subsequent numerical calculations based on the air volume data of each branch pipe. The reference air volume determination method based on the branch pipe air volume data as the reference air volume data is an optimization scheme of the above-mentioned reference air volume determination method, and a numerical reference is made based on the uneven branch pipe air volume data in the initial state, so that the solution of the small set of related data is more in line with the actual production status, thereby improving the data calculation accuracy.

[0045] It should be noted that the method for determining the reference air volume can be adjusted according to different requirements for data accuracy in actual production applications, and the specific method for determining the reference air volume is not limited here.

[0046] In one embodiment of the present application, the air volume range of the initial air volume data of the blast furnace is determined according to the maximum air volume fluctuation value and the preset air volume fluctuation range expansion coefficient. The preset air volume fluctuation range expansion coefficient can be set according to the actual production needs and air volume coverage requirements. For example, the original air volume fluctuation range is [Q1, Q2], and the upper and lower limits can be adjusted by 20%, that is, the upper limit coefficient of the air volume fluctuation range expansion coefficient is 1.2, and the lower limit coefficient is 0.8, and the air volume range of the initial air volume data is [0.8Q1, 1.2Q2]. Among them, the setting of the preset air volume fluctuation range expansion coefficient can be set according to the production plan, or it can be set manually by relevant staff according to production experience, or it can be calculated according to historical data. The setting method of the preset air volume fluctuation range expansion coefficient is not limited here.

[0047] In one embodiment of the present application, after a preset number of air volume values ​​are selected in the air volume range of the initial air supply volume data and the selected air volume values ​​are determined as the reference air volume, the air volume distribution prediction method also includes: determining multiple reference equivalent resistance coefficients based on each reference air volume of a preset characteristic cross-section, a reference air outlet flow rate and cross-sectional dimension data, and determining the reference equivalent resistance coefficient as the preset equivalent resistance coefficient; if the current input air supply volume is different from the reference air volume, interpolating among each preset equivalent resistance coefficient to determine an equivalent resistance coefficient having a mapping relationship with the current input air supply volume.

[0048] In one embodiment of the present application, after determining the preset equivalent resistance coefficient, the preset equivalent resistance coefficient can be classified according to the type of tuyere sleeve, and the preset tuyere sleeve type-preset equivalent resistance coefficient mapping relationship can be determined based on the preset equivalent resistance coefficient corresponding to different tuyere sleeve types.

[0049] In one embodiment of the present application, after obtaining the current input air supply volume, the current number of tuyere small sets, and the current tuyere small set type during the operation of the blast furnace, it is necessary to perform parameter preprocessing on the values ​​of the current input air supply volume, the current number of tuyere small sets, and the current tuyere small set type, wherein the parameter preprocessing includes at least one of the following operations: invalid value determination, outlier removal, parameter fitting, and interpolation filling. The parameters are preliminarily screened, errors and invalid data are removed, and fitting processing is performed to ensure the validity and accuracy of the data.

[0050] In step S330, a tuyere sleeve type-characteristic cross-section mapping relationship data set is generated based on reference data sets of different tuyere sleeve types, and a preset tuyere sleeve type-characteristic cross-section mapping relationship is determined based on the tuyere sleeve type-characteristic cross-section mapping relationship data set.

[0051] In one embodiment of the present application, after determining the preset air outlet sleeve type-characteristic cross-section mapping relationship, it also includes determining the reference air outlet density according to the reference air volume and cross-sectional size data corresponding to the air outlet sleeve type, and generating a reference air outlet density data set for different air outlet sleeve types based on the reference air outlet density; then, based on the reference air outlet density data sets for different air outlet sleeve types, an air outlet sleeve type-characteristic cross-section air volume density mapping relationship data set is generated, and the preset air outlet sleeve type-characteristic cross-section air volume density mapping relationship is determined based on the air outlet sleeve type-characteristic cross-section air volume density mapping relationship data set.

[0052] In one embodiment of the present application, an air outlet small sleeve type mapping relationship database is constructed based on the preset air outlet small sleeve type-preset equivalent resistance coefficient mapping relationship, the preset air outlet small sleeve type-characteristic cross-section mapping relationship, and the preset air outlet small sleeve type-characteristic cross-section air volume density mapping relationship. During the air volume prediction process, data acquisition can be performed based on the air outlet small sleeve type mapping relationship database to reduce the amount of data acquisition and some repeated data calculation steps, thereby effectively reducing the workload.

[0053] In step S220, the initial single tuyere air volume is determined according to the current input air volume and the current number of tuyere sets, and the characteristic cross-section data corresponding to each current tuyere set type is determined according to the preset tuyere set type-characteristic cross-section mapping relationship;

[0054] In step S230, the initial air outlet density data of the target air outlet small set is determined based on the input air supply volume and the characteristic cross-section data, and the initial flow rate is determined based on the initial single air outlet air volume and the initial air outlet density data;

[0055] In one embodiment of the present application, before determining the characteristic cross-section data corresponding to each current tuyere sleeve type according to the preset tuyere sleeve type-characteristic cross-section mapping relationship, the tuyere sleeve data with the largest number of tuyere sleeve types is determined as the reference tuyere sleeve, and at this time, all tuyere sleeve related parameters are defined to be consistent.

[0056] In one embodiment of the present application, the characteristic cross-sectional data at least includes data such as characteristic cross-sectional area, characteristic cross-sectional air volume, characteristic cross-sectional wind pressure, etc. Furthermore, the characteristic cross-sectional area also includes a first characteristic cross-sectional area and a second characteristic cross-sectional area.

[0057] In one embodiment of the present application, the initial air outlet density data of the target air outlet sleeve determined based on the input air supply volume and characteristic cross-section data can be obtained by real-time calculation based on the input air supply volume and characteristic cross-section data, or it can be obtained by interpolation based on the preset air outlet sleeve type-characteristic cross-section air volume density mapping relationship established in the above embodiment.

[0058] In one embodiment of the present application, the method for determining the initial single air outlet air volume according to the current input air supply volume and the current number of air outlet small sets includes:

[0059]

[0060] Among them, Q avg_i is the initial single air outlet air volume, unit is kg / s, Q total is the current input air supply volume, in kg / s, and N is the number of current air outlet sets.

[0061] In one embodiment of the present application, the initial flow velocity is determined based on the initial single air outlet air volume and the initial air outlet density data, and it is necessary to solve them separately according to the number of characteristic sections. In the above embodiment, the first characteristic section and the second characteristic section are determined, so in the subsequent air volume solution, the characteristic section quantity needs to be solved separately for the first characteristic section and the second characteristic section.

[0062] In one embodiment of the present application, determining the initial flow velocity based on the initial single tuyere air volume and the initial tuyere density data includes determining the first characteristic cross-sectional flow velocity:

[0063]

[0064] And the determination of the flow velocity of the second characteristic section:

[0065]

[0066] Among them, V i1 is the velocity of the first characteristic section, in m / s, ρ i1 is the initial air outlet density data of the first characteristic section, in kg / m 3 , Ai1 is the first characteristic cross-sectional area, in m 2 , V i2 is the flow velocity of the second characteristic section, in m / s, ρ i2 is the initial air outlet density data of the second characteristic section, in kg / m 3 , A i2 is the second characteristic cross-sectional area, in m 2 , Q avg_i It is the initial single air outlet air volume, unit is kg / s.

[0067] In step S240, the resistance of the tuyere sleeve pipeline is determined based on the preset equivalent resistance coefficient corresponding to the sleeve type of the target tuyere sleeve, the tuyere density data, and the initial flow rate.

[0068] In one embodiment of the present application, the first characteristic cross-section equivalent loss coefficient and the second characteristic cross-section equivalent loss coefficient need to be determined based on a preset equivalent loss coefficient corresponding to the type of the target tuyere sleeve.

[0069] In one embodiment of the present application, the determination of the resistance loss of the tuyere sleeve pipeline includes:

[0070]

[0071] Where ΔP is the resistance loss of the small casing of the tuyere, unit is Pa, ΔP i1 is the first characteristic section pipeline resistance loss, ΔP i2 is the pipeline resistance loss of the second characteristic section, ξ j1 is the equivalent resistance loss coefficient of the first operating characteristic section, ξ j2 is the equivalent resistance loss coefficient of the second operating characteristic section, V i1 is the velocity of the first characteristic section, in m / s, ρ i1 is the initial air outlet density data of the first characteristic section, in kg / m 3 , V i2 is the flow velocity of the second characteristic section, in m / s, ρ i2 is the initial air outlet density data of the second characteristic section, in kg / m 3 .

[0072] In step S250, the type and number of operating air outlet small sets after the small set is replaced are obtained, and the operating characteristic cross-section data corresponding to each replaced air outlet small set type is determined based on the preset air outlet small set type-characteristic cross-section mapping relationship, and the operating air outlet density data of the target air outlet small set is determined based on the input air supply volume and the operating characteristic cross-section data.

[0073] In step S260, the air volume of a single tuyere and the total air volume are determined based on the operating characteristic cross-section data, the operating tuyere density data and the tuyere sleeve pipe resistance.

[0074] In one embodiment of the present application, in determining the air volume of a single air outlet and the total air volume according to the running characteristic cross-sectional data, the running air outlet density data and the air outlet small sleeve pipe resistance, it is necessary to first determine the running flow rate of the characteristic cross-sectional data according to the running characteristic cross-sectional data, the running air outlet density data and the air outlet small sleeve pipe resistance, and then determine the running air volume of a single air outlet and the total air volume based on the running flow rate of the characteristic cross-sectional data, the running characteristic cross-sectional data and the running air outlet density data. Among them, the running characteristic cross-sectional data includes the first running characteristic cross-sectional area and the second running characteristic cross-sectional area, and the running air outlet density data is divided into the first running characteristic cross-sectional running air outlet density and the second running characteristic cross-sectional running air outlet density.

[0075] In one embodiment of the present application, the determination of the characteristic cross-section running flow rate includes the determination of the first characteristic cross-section running flow rate and the first characteristic cross-section running flow rate, and the determination of the first running characteristic cross-section running flow rate includes:

[0076]

[0077] The determination of the running flow velocity of the second running characteristic section includes:

[0078]

[0079] Among them, Q avg_i is the initial single air outlet air volume, V j1 is the running flow velocity of the first running characteristic section, in m / s, V j2 is the running flow velocity of the second running characteristic section, in m / s, ρ j1 The density of the air outlet of the first operating characteristic section, kg / m 3 , ρ j2 The second operating characteristic section operating air outlet density, kg / m 3 , ΔP is the resistance loss of the small casing of the tuyere, unit Pa, A j1 is the first running characteristic cross-sectional area, unit: m 2 ,ξ j1 is the equivalent resistance loss coefficient of the first operating characteristic section, ξ j2 is the equivalent resistance loss coefficient of the second operating characteristic section.

[0080] In one embodiment of the present application, the air volume of a single air outlet of the small set type before replacement includes:

[0081] Q i =ρ i2 V i2 A i2 Formula (7);

[0082] The air volume of a single air outlet of the replaced small set type includes:

[0083] Q j =ρ j2 V j2 A j2 Formula (8);

[0084] Among them, Q j The air volume of a single air outlet of the small set type before replacement, in kg / s, Q i The air volume of a single air outlet of the small set type before replacement, in kg / s, V j2 is the running flow velocity of the second running characteristic section, in m / s, ρ j2 The second operating characteristic section operating air outlet density, kg / m 3 , A i2 is the second characteristic cross-sectional area, in m 2 , A j2 is the characteristic cross-sectional area of ​​the second operation, in m 2 .

[0085] The determination of the total operating air volume includes:

[0086]

[0087] Among them, Q j The air volume of a single air outlet of the small set type before replacement, in kg / s, Q i The air volume of a single air outlet of the small set type before replacement, in kg / s, Q total ' is the current input air supply volume,

[0088] In step S270, the initial single air outlet air volume is adjusted according to the difference between the total operating air volume and the current input air supply volume to obtain a new initial single air outlet air volume to determine a new initial flow rate and a new air outlet small sleeve pipe resistance.

[0089] In one embodiment of the present application, during the process of adjusting the initial single air outlet air volume according to the difference between the total operating air volume and the current input air supply volume, if the difference between the total operating air volume and the total input air volume does not reach a preset degree threshold, the initial single air outlet air volume is adjusted according to the total operating air volume, the current input air supply volume and the initial single air outlet air volume to obtain a new initial single air outlet air volume.

[0090] In one embodiment of the present application, the method of determining the new initial single tuyere air volume includes:

[0091] Q avg_i '=Q avg_i / (Q total ' / Q total ) formula (10);

[0092] Among them, Q avg_i' is the new initial single air outlet air volume, Q avg_i is the initial single air outlet air volume, Q total ' is the total air volume, Q total Input the current air supply volume.

[0093] In step S280, the new single air outlet air volume and the new operating total air volume are determined based on the new air outlet small sleeve pipeline resistance, operating characteristic cross-section data and operating density, until the difference between the operating total air volume and the input total air volume reaches a preset degree threshold, and the air volume distribution is predicted based on the new single air outlet air volume and operating density.

[0094] In one embodiment of the present application, until the difference between the running total air volume and the input total air volume reaches a preset degree threshold, the difference between the running total air volume and the input total air volume can be determined based on the numerical difference between the two values, the convergence amount, the regression amount, etc. In an exemplary embodiment of the present application, the convergence degree of the running total air volume and the input total air volume is calculated for determination, and the determination of the convergence degree includes:

[0095]

[0096] Among them, X is the convergence degree of the total operating air volume and the total input air volume, Q total ' is the total air volume, Q total Input the current air supply volume.

[0097] In one embodiment of the present application, until the difference between the total operating air volume and the total input air volume reaches a preset degree threshold, the preset degree threshold needs to be determined based on the accuracy requirement for air volume distribution prediction in actual production applications.

[0098] See also Figure 5 , Figure 5 is a flowchart of a specific air volume distribution prediction method shown in an exemplary embodiment of the present application. The method can be applied to Figure 2 The implementation environment shown in FIG. 1 is specifically implemented by the blast furnace 101 and / or the computer device 102 in the implementation environment. It should be understood that the method can also be applied to other exemplary implementation environments and be specifically implemented by devices in other implementation environments. This embodiment does not limit the implementation environment to which the method is applicable.

[0099] As shown in FIG. 5 , in an exemplary embodiment, the air volume distribution prediction method includes at least steps S11 to S13, which are described in detail as follows:

[0100] In step S11, on-site operation data is received and processed.

[0101] In an exemplary specific embodiment of the present application, only valid data types required for subsequent steps of the present invention are received, namely, hot air duct air supply data, air outlet vortex area data, and air outlet small sleeve data, wherein: the hot air duct air supply data include the air volume, air temperature, and air pressure of the appropriate position of the hot air main pipe; the air outlet vortex area data include the shape and size of the air outlet vortex area and the air outlet vortex area pressure; the air outlet small sleeve data include the air outlet small sleeve diameter, air outlet small sleeve length, and air outlet small sleeve angle corresponding to each air outlet.

[0102] In an exemplary specific embodiment of the present application, judgment rules are formulated in advance based on the actual measured data on site and combined with process experience. According to the judgment rules, it is determined whether the received data is correct and reasonable, and the original data is screened and filtered to remove incorrect and unreasonable data. For the filtered data, the corresponding method is selected according to different data for appropriate processing. For example, the air volume data may need to be processed by time-average processing. After the corresponding data is processed, it is saved in the corresponding database for calculation and solution in subsequent steps.

[0103] In step S12, multiple working conditions are numerically calculated offline, and an air volume distribution query database is established.

[0104] In an exemplary specific embodiment of the present application, the fluctuation range of the air supply volume is calculated based on the on-site operation data, and the size of the air outlet sleeve replaced on-site is calculated based on the on-site operation data, including the sleeve diameter, sleeve length, and sleeve angle. A geometric model is established for the above-mentioned sleeve types. In each set of geometric models, all air outlets use the same sleeve type, and the geometric model is meshed, the corresponding boundary conditions are loaded, and the flow numerical calculation of the offline working condition is performed.

[0105] In an exemplary specific embodiment of the present application, after completing the flow numerical calculations of all offline working conditions, it is necessary to perform batch post-processing on the calculation results and establish a corresponding air volume distribution query database.

[0106] The hot air main inlet section, characteristic section and outlet section of the tuyere whirlpool area are statistically analyzed, and the corresponding air volume, velocity, density and pressure values ​​are analyzed. At the same time, the flow resistance of the front area and the rear area of ​​the small set corresponding to each tuyere is solved, and the corresponding equivalent resistance coefficient is calculated. According to the above offline calculation results, the corresponding query database is finally formed, including: small set type-air volume condition characteristic section density database, small set type-air volume condition characteristic section velocity database, small set type-air volume condition regional equivalent resistance coefficient database.

[0107] In step S13, the dynamic distribution of air volume and the distribution of kinetic energy of air blowing are predicted online by querying the database and solving iteratively.

[0108] In an exemplary specific embodiment of the present application, the state of the small set of the current blast furnace operation state is identified, the type of small set is determined, and matched with the established database, and then the total pipeline resistance and the total air volume are calculated according to the database data. Finally, it is determined whether the calculated total air volume is the same as the actual air supply volume, that is, whether the iterative calculation converges. If it does not reach the convergence standard, it is necessary to correct the assumed average air volume before the small set is replaced, and iterate and solve according to the above steps until it is determined to converge. When the iterative solution converges, the solved tuyere air volume is the dynamic distribution of the air volume of the current on-site operating conditions, and the kinetic energy distribution of the corresponding tuyere can be predicted based on the parameters such as the air volume and characteristic flow velocity at this time.

[0109] It should be noted that the calculated total air volume in this exemplary specific embodiment is consistent with the operating total air volume in the first embodiment, and the total pipeline resistance in this exemplary specific embodiment is consistent with the air outlet small sleeve pipeline resistance in the first embodiment.

[0110] The following describes an apparatus embodiment of the present application, which can be used to execute the decision control model simulation data generation method in the above embodiment of the present application. For details not disclosed in the system embodiment of the present application, please refer to the above embodiment of the decision control model simulation data generation method of the present application.

[0111] Figure 6 is a schematic diagram of an air volume distribution prediction device shown in an exemplary embodiment of the present application. The device can be applied to Figure 2 The implementation environment shown in the figure is specifically configured in the computer device 102. The device can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applied.

[0112] like Figure 6 As shown, the exemplary air volume distribution prediction device includes: a data acquisition module 601 , an initial data processing module 602 , an operation data processing module 603 , and a prediction verification module 604 .

[0113] Among them, the data acquisition module 601 is used to obtain the current input air supply volume, the current number of tuyere sets, and the current tuyere set type during the operation of the blast furnace; the initial data processing module 602 is used to determine the initial single tuyere air volume according to the current input air supply volume and the current number of tuyere sets, and determine the characteristic cross-section data corresponding to each current tuyere set type according to the preset tuyere set type-characteristic cross-section mapping relationship; determine the initial tuyere density data of the target tuyere set based on the input air supply volume and the said characteristic cross-section data, and determine the initial flow rate based on the initial single tuyere air volume and the initial tuyere density data; determine the tuyere set pipeline resistance based on the preset equivalent resistance coefficient corresponding to the set type of the target tuyere set, the tuyere density data, and the initial flow rate; the operation data processing module 603 is used to obtain the operating tuyere set type and the number of operating tuyere sets after the set is replaced, and based on the preset tuyere set type -The characteristic cross-section mapping relationship determines the operating characteristic cross-section data corresponding to each replaced air outlet sleeve type, and determines the operating air outlet density data of the target air outlet sleeve based on the input air supply volume and the operating characteristic cross-section data; determines the operating single air outlet air volume and the operating total air volume based on the operating characteristic cross-section data, the operating air outlet density data and the air outlet sleeve pipeline resistance; the prediction and verification module 604 is used to adjust the initial single air outlet air volume according to the difference between the operating total air volume and the current input air supply volume, and obtain a new initial single air outlet air volume to determine the new initial flow rate and the new air outlet sleeve pipeline resistance; determines the new single air outlet air volume and the new operating total air volume based on the new air outlet sleeve pipeline resistance, the operating characteristic cross-section data and the operating density, until the difference between the operating total air volume and the input total air volume reaches the preset degree threshold, and the air volume distribution is predicted based on the new single air outlet air volume and the operating density.

[0114] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by one or more processors, the electronic device implements the air volume distribution prediction method provided in the above-mentioned embodiments.

[0115] Figure 8 is a schematic diagram of a specific air volume distribution prediction system shown in an exemplary embodiment of the present application. The system can be specifically applied to realize Figure 5 The specific air volume distribution prediction method shown can also be applied to Figure 2 The implementation environment shown in the figure is specifically configured in the computer device 102. The system can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment applicable to the system.

[0116] like Figure 8As shown, the exemplary specific air volume distribution prediction system includes a field data acquisition system, a data receiving and processing module, an offline numerical calculation and query database establishment module, an operation status identification and matching module, an air volume dynamic distribution and a blowing kinetic energy distribution online prediction module, a data processing and sending module, and a front-end display module.

[0117] Among them, the field data acquisition system is used to collect field operation data, including hot air duct air supply data, air outlet vortex area data, and air outlet small set data; the data receiving and processing module is used to select and receive the field operation data required for calculation, including hot air duct air supply data, air outlet vortex area data, and air outlet small set data, and perform corresponding screening and processing on the received data, and then save it to the database; the offline numerical calculation and query database establishment module is used to perform offline numerical calculations of multiple working conditions according to the field air supply air volume and small set type, and establish a corresponding query database according to the calculation results; the operation status recognition and matching module is used to identify The current operating status is identified, including the air supply volume, the diameter type of each air outlet small sleeve and the length type of the small sleeve, and they are matched one by one with the corresponding small sleeve type in the database; the online prediction module of air volume dynamic distribution and blast kinetic energy distribution is used to solve the air volume of each air outlet by querying the database according to the real-time operation status on site, and realize the online prediction of the current air volume dynamic distribution and blast kinetic energy distribution of the air outlet; the data processing and sending module processes the calculated air volume data and blast kinetic energy data of each air outlet in the corresponding format and sends them to the display end; the front-end display module is used to present the online prediction results of air volume dynamic distribution and blast kinetic energy distribution.

[0118] Figure 7 The structure diagram of the computer system suitable for implementing the electronic device of the embodiment of the present application is shown. It should be noted that: Figure 7 The computer system 700 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0119] like Figure 7 As shown, computer system 700 includes a central processing unit (CPU) 701, which can perform various appropriate actions and processes according to the program stored in a read-only memory (ROM) 702 or the program loaded from the storage part to a random access memory (RAM) 703, such as executing the method in the above embodiment. In RAM 703, various programs and data required for system operation are also stored. CPU 701, ROM 702 and RAM 703 are connected to each other through a bus. Input / output (I / O) interface 705 is also connected to bus 704.

[0120] The following components are connected to the I / O interface 705: an input section 706 including a keyboard, a mouse, etc.; an output section 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 708 including a hard disk, etc.; and a communication section 709 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 710 as needed so that a computer program read therefrom is installed into the storage section 708 as needed.

[0121] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 709, and / or installed from a removable medium 711. When the computer program is executed by a central processing unit (CPU) 701, various functions defined in the system of the present application are executed.

[0122] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. This propagated data signal can take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0123] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0124] In the corresponding drawings of the above embodiments, connecting lines may indicate the connection relationship between the various components to indicate more constituent signal paths and / or one or more ends of some lines may have arrows to indicate the main information flow direction. Connecting lines, as a mark, are not a limitation to the scheme itself, but the use of these lines in combination with one or more exemplary embodiments helps to connect circuits or logic units more easily. Any represented signal (determined by design requirements or preferences) may actually include one or more signals that can be transmitted in either direction and implemented with any appropriate type of signal scheme.

[0125] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0126] Another aspect of the present application also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the page test method as described above is implemented. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0127] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0128] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0129] It should be noted that the present application can be used in many general or special computing system environments or configurations, such as personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0130] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0131] It should be understood that the above content is only a preferred exemplary embodiment of the present application and is not intended to limit the implementation scheme of the present application. A person skilled in the art can easily make corresponding changes or modifications based on the main concept and spirit of the present application. Therefore, the scope of protection of the present application should be the scope of protection required by the claims.

Claims

1. A method for predicting air volume distribution, characterized in that: The method comprises: Get the current input air supply volume, the current number of tuyere sets, and the current tuyere set type when the blast furnace is running; Determine the initial single tuyere air volume according to the current input air supply volume and the current number of tuyere small sets, and determine the characteristic cross-section data corresponding to each current tuyere small set type according to a preset tuyere small set type-characteristic cross-section mapping relationship; Determine the initial air outlet density data of the target air outlet small set based on the input air supply volume and the characteristic cross-section data, and determine the initial flow rate based on the initial single air outlet air volume and the initial air outlet density data; Determine the pipeline resistance of the tuyere small sleeve based on the preset equivalent resistance coefficient corresponding to the small sleeve type of the target tuyere small sleeve, tuyere density data, and initial flow velocity; Obtain the type and number of operating air outlet small sets after the small set is replaced, and determine the operating characteristic cross-section data corresponding to each replaced air outlet small set type based on a preset air outlet small set type-characteristic cross-section mapping relationship, and determine the operating air outlet density data of the target air outlet small set based on the input air supply volume and the operating characteristic cross-section data; Determine the air volume of a single tuyere and the total air volume according to the operating characteristic cross-section data, the operating tuyere density data and the resistance loss of the tuyere small sleeve pipeline; According to the difference between the total operating air volume and the current input air volume, the initial single air outlet air volume is adjusted to obtain a new initial single air outlet air volume, so as to determine a new initial flow rate and a new air outlet small sleeve pipe resistance; Based on the new air outlet small sleeve pipeline resistance, operating characteristic cross-sectional data and operating density, a new single air outlet air volume and a new operating total air volume are determined until the difference between the operating total air volume and the input total air volume reaches a preset degree threshold, and the air volume distribution is predicted based on the new single air outlet air volume and the operating density.

2. The air volume distribution prediction method according to claim 1, characterized in that: After obtaining the input air supply volume, the number of air outlet sets, and the type of air outlet sets, the air volume distribution prediction method further includes: Obtain reference air volume, reference air outlet velocity and cross-sectional dimension data of a pre-selected characteristic cross section; Classifying the reference air volume, reference air outlet velocity and cross-sectional dimension data of the characteristic cross-section according to the type of the air outlet sleeve, and generating reference data sets of different air outlet sleeve types; A tuyere sleeve type-characteristic cross-section mapping relationship data set is generated based on the reference data sets of the different tuyere sleeve types, and a preset tuyere sleeve type-characteristic cross-section mapping relationship is determined based on the tuyere sleeve type-characteristic cross-section mapping relationship data set.

3. The air volume distribution prediction method according to claim 2, characterized in that: The determination of the preselected characteristic cross section includes: A circle is drawn with the center of the blast furnace as the center and the radius of the preset first characteristic section, and the section intersecting with each hot blast branch pipe is taken as the first characteristic section; Select any section in the area from the first characteristic section to the air outlet of the air outlet pipe as the second characteristic section, and the second characteristic section does not overlap with the first characteristic section; The first characteristic cross section and the second characteristic cross section are determined as pre-selected characteristic cross sections.

4. The air volume distribution prediction method according to claim 2, characterized in that: Obtaining the reference air volume of the pre-selected characteristic section includes: Obtain the initial air volume data of the blast furnace; Determining the air volume range of the initial air supply air volume data according to the maximum air volume fluctuation value of the initial air supply air volume data of the blast furnace and a preset air volume fluctuation range expansion coefficient; A preset number of air volume values ​​are selected within the air volume range of the initial air supply air volume data, and the selected preset number of air volume values ​​are determined as reference air volumes of the preselected characteristic cross-section.

5. The air volume distribution prediction method according to claim 4, characterized in that: After selecting a preset number of air volume values ​​in the air volume range of the initial air supply air volume data and determining the selected air volume values ​​as reference air volumes, the air volume distribution prediction method further includes: Determine a plurality of reference equivalent resistance coefficients based on the reference air volume, reference air outlet flow rate and cross-sectional dimension data of each of the preselected characteristic cross sections, and determine the reference equivalent resistance coefficients as preset equivalent resistance coefficients; If the current input air volume is different from the reference air volume, interpolation is performed among the preset equivalent resistance coefficients to determine an equivalent resistance coefficient having a mapping relationship with the current input air volume.

6. The air volume distribution prediction method according to claim 1, characterized in that: Adjusting the initial single air outlet air volume according to the difference between the total operating air volume and the current input air supply volume includes: If the difference between the total operating air volume and the total input air volume does not reach the preset threshold, the initial single air outlet air volume is adjusted according to the total operating air volume, the current input air supply volume and the initial single air outlet air volume to obtain a new initial single air outlet air volume.

7. The air volume distribution prediction method according to any one of claims 1 to 6, characterized in that: The method for determining the new initial single air outlet air volume includes: Q avg_i '=Q avg_i / (Q total ' / Q total ) Among them, Q avg_i ' is the new initial single air outlet air volume, Q avg_i is the initial single air outlet air volume, Q total ' is the total air volume, Q total Input the current air supply volume.

8. An air volume distribution prediction device, characterized in that: The device comprises: The data acquisition module is used to obtain the current input air supply volume, the current number of tuyere sets, and the current tuyere set type when the blast furnace is running; An initial data processing module is used to determine the initial single air outlet air volume according to the current input air supply volume and the current number of air outlet small sets, and determine the characteristic cross-section data corresponding to each current air outlet small set type according to a preset air outlet small set type-characteristic cross-section mapping relationship; determine the initial air outlet density data of the target air outlet small set based on the input air supply volume and the characteristic cross-section data, and determine the initial flow rate based on the initial single air outlet air volume and the initial air outlet density data; determine the air outlet small set pipeline resistance based on the preset equivalent resistance coefficient corresponding to the small set type of the target air outlet small set, the air outlet density data, and the initial flow rate; An operation data processing module is used to obtain the type and number of the operating air outlet small sets after the small sets are replaced, and determine the operation characteristic cross-section data corresponding to each replaced air outlet small set type based on a preset air outlet small set type-characteristic cross-section mapping relationship, and determine the operation air outlet density data of the target air outlet small set based on the input air supply volume and the operation characteristic cross-section data; determine the single air outlet air volume and the total air volume according to the operation characteristic cross-section data, the operation air outlet density data and the air outlet small set pipeline resistance loss; A prediction and verification module is used to adjust the initial single air outlet air volume according to the difference between the operating total air volume and the current input air supply volume to obtain a new initial single air outlet air volume to determine a new initial flow rate and a new air outlet small sleeve pipeline resistance; based on the new air outlet small sleeve pipeline resistance, operating characteristic cross-sectional data and operating density, a new single air outlet air volume and a new operating total air volume are determined until the difference between the operating total air volume and the input total air volume reaches a preset degree threshold, and the air volume distribution is predicted based on the new single air outlet air volume and the operating density.

9. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the electronic device to implement the wind volume distribution prediction method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Computer-readable instructions are stored thereon, and when the computer-readable instructions are executed by a processor of a computer, the computer is enabled to execute the air volume distribution prediction method according to any one of claims 1 to 7.

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