Blast furnace injection medium energy efficiency utilization evaluation method, system and equipment and medium

Abstract

The invention provides a blast furnace injection medium energy efficiency utilization evaluation method, system and equipment and a medium, and the method comprises the steps: obtaining a first all-day feeding parameter, a target process monitoring node parameter and an injection medium monitoring parameter of a target blast furnace, and determining the daily iron yield of the target blast furnace according to the first all-day feeding parameter; calculating a total blowing medium heat value according to the blowing medium monitoring parameters and the target blast furnace daily iron yield, determining a target blast furnace heat value according to the heat change value of the target process monitoring node parameters, and determining a blast furnace heat total change quantity according to the target blast furnace heat value and a preset comparison blast furnace heat value, determining the energy efficiency coefficient of the injection medium according to the ratio of the total heat value of the injection medium to the total heat variation of the blast furnace; according to the method, the energy efficiency coefficient of the injection medium in the low-carbon blast furnace smelting process under the multi-medium injection working condition can be obtained, an operator is helped to judge the utilization efficiency of the injection medium, and a guiding direction is provided for optimizing blast furnace operation.

Description

Technical Field

[0001] The present application relates to the field of production control, and in particular to a method, system, equipment and medium for evaluating the energy efficiency of blast furnace injection medium. Background Art

[0002] Low-carbon blast furnace technology is a key technology aimed at reducing carbon dioxide emissions during steel production. Its core lies in the multi-media injection strategy, which has become a key driving force for the steel industry to achieve its carbon dioxide emission reduction goals. At present, steel companies around the world are actively engaged in industrial experiments on gas injection. The experimental media widely cover natural gas, coke oven gas, mixed gas rich in hydrogen and carbon monoxide, chemical process tail gas and pure hydrogen. These practices not only enrich the practical cases of low-carbon blast furnace technology, but also pave a solid road for its in-depth development. When the injection medium is introduced into the blast furnace, it will have a significant reshaping effect on the temperature field and gas flow pattern in the furnace, thereby affecting the reduction process and efficiency of the ore in the furnace. It is worth noting that the utilization efficiency of the injection medium shows significant differences under different operating parameter configurations: when the injection medium is used efficiently, it can replace more traditional solid fuels such as coke and coal powder, and promote energy conservation and emission reduction; while the inefficient use of the injection medium may lead to waste of energy resources and weaken the carbon reduction effect.

[0003] Therefore, it is particularly important to conduct a scientific and reasonable evaluation of the energy efficiency of the injection medium. By constructing an energy efficiency utilization evaluation system, operators can accurately adjust the blast furnace operation strategy based on the specific energy efficiency utilization coefficient, optimize the utilization efficiency of the injection medium, and thus maximize the carbon reduction potential of the blast furnace. This process not only helps steel companies achieve green transformation, but is also a key step in promoting the entire industry to move towards a low-carbon and environmentally friendly direction. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a method, system, equipment and medium for evaluating the energy efficiency utilization of blast furnace injection medium to solve the above-mentioned technical problems.

[0005] The present invention provides a method for evaluating the energy efficiency utilization of blast furnace injection medium, the method comprising: obtaining a first all-day charging parameter of a target blast furnace, a target process monitoring node parameter and an injection medium monitoring parameter, the target process monitoring node parameter being used to characterize a heat zone smelting parameter of heat change statistics of a target blast furnace smelting process, the target process monitoring node parameter including monitoring parameters of at least one target process monitoring node; determining a target blast furnace daily iron production according to the first all-day charging parameter, and determining a target blast furnace daily iron production according to the injection medium monitoring parameter and the target blast furnace daily iron production The calorific value of the injection medium is calculated to obtain the total calorific value of the injection medium; the heat change value of each target process monitoring node is calculated according to the target process monitoring node parameters, and the target blast furnace total heat value is determined according to the heat change value of each target process monitoring node, and the heat change value of each target process monitoring node includes at least one of sensible heat, chemical heat and marginal heat load; the total change of blast furnace heat is determined according to the target blast furnace total heat value and the preset comparison blast furnace total heat value, so as to determine the energy efficiency coefficient of the injection medium according to the ratio of the total heat value of the injection medium to the total change of blast furnace heat.

[0006] In one embodiment of the present invention, the acquisition of the preset total heat value of the comparison blast furnace includes: acquiring the second full-day charging parameters and comparison process monitoring node parameters of the comparison blast furnace, the comparison process monitoring node parameters are used to characterize the heat zone smelting parameters of the heat change statistics of the comparison blast furnace smelting process, the comparison process monitoring node parameters include at least one monitoring parameter of the comparison process monitoring node, and the comparison blast furnace smelting process is without medium blowing; determining the daily iron output of the comparison blast furnace according to the second full-day charging parameters; calculating the heat change value of each comparison process monitoring node based on the daily iron output of the comparison blast furnace and the comparison process monitoring node parameters, and determining the total heat value of the comparison blast furnace according to the heat change value of each comparison process monitoring node, the heat change value of the comparison process monitoring node includes at least one of sensible heat, chemical heat and edge heat load.

[0007] In one embodiment of the present invention, the first all-day loading parameters include the all-day target number of loading batches, the target batch weight and the target charge grade, and determining the target blast furnace daily iron production based on the first all-day loading parameters includes: determining the target blast furnace daily iron production based on the product of the all-day target number of loading batches, the target batch weight and the target charge grade.

[0008] In one embodiment of the present invention, the blowing medium monitoring parameters include blowing medium specific heat capacity, blowing medium volume, blowing medium temperature, blowing medium concentration and blowing medium calorific value parameters. Calculating the calorific value of the blowing medium based on the blowing medium monitoring parameters and the target blast furnace daily iron production includes: determining the sensible heat of the target blowing medium required to smelt each ton of molten iron based on the blowing medium specific heat capacity, blowing medium volume, blowing medium temperature and the target blast furnace daily iron production; determining the chemical heat of the target blowing medium required to smelt each ton of molten iron based on the blowing medium concentration, blowing medium calorific value parameters and the target blast furnace daily iron production; determining the sum of the heat of the blowing medium required to smelt each ton of molten iron based on the numerical sum of the sensible heat and chemical heat of the target blowing medium required to smelt each ton of molten iron, and determining the sum of the heat of the blowing medium required to smelt each ton of molten iron as the calorific value of the blowing medium.

[0009] In one embodiment of the present invention, the target process monitoring nodes include a top gas node, a blast node, a slag iron node, a coke and coal powder node, and a soft water and industrial water node.

[0010] In one embodiment of the present invention, the target process monitoring node parameters include top gas parameters, blast parameters, slag iron parameters, coke and coal powder parameters, and soft water and industrial water parameters. The heat change values ​​of each target process monitoring node are calculated according to the target process monitoring node parameters and the target blast furnace daily iron production, including: calculating the sensible heat and chemical heat of the top gas according to the top gas parameters, the top gas parameters include top gas specific heat capacity, top gas volume, top gas temperature, top gas component concentration and top gas component calorific value; calculating the blast sensible heat according to the blast parameters, the blast parameters include blast specific heat capacity, blast volume accumulation, blast temperature; calculate the slag iron sensible heat according to the slag iron parameters, the slag iron parameters include molten iron specific heat capacity, molten iron temperature, and the amount of slag iron per ton of iron smelting process; calculate the average chemical heat of coke and pulverized coal according to the coke and pulverized coal parameters, the coke and pulverized coal parameters include coke component proportion, coke component calorific value, pulverized coal component proportion and pulverized coal component calorific value; calculate the marginal heat load according to the soft water and industrial water parameters, the marginal heat load is the sum of the soft water sensible heat and the industrial water sensible heat, the soft water and industrial water parameters include soft water specific heat capacity, soft water volume flow rate, soft water inlet and outlet temperature difference, industrial water specific heat capacity, industrial water volume flow rate and industrial water inlet and outlet temperature difference.

[0011] In one embodiment of the present invention, determining the target blast furnace total heat value based on the heat change values ​​of each target process monitoring node and the target blast furnace daily iron production includes: determining the sensible heat and chemical heat of the top gas, the blast sensible heat, the slag sensible heat, the average chemical heat of coke and pulverized coal, and the heat change values ​​of the marginal heat load per ton of the target process monitoring node according to the target blast furnace daily iron production; and determining the sum of the values ​​of the sensible heat and chemical heat of the top gas, the blast sensible heat, the slag sensible heat, the average chemical heat of coke and pulverized coal, and the heat change values ​​of the marginal heat load per ton of the target process monitoring node as the target blast furnace total heat value.

[0012] The embodiment of the present invention also provides a blast furnace blowing medium energy efficiency utilization evaluation system, the blast furnace blowing medium energy efficiency utilization evaluation system includes: a blast furnace data acquisition module, used to obtain the first full-day charging parameters of the target blast furnace, the target process monitoring node parameters and the blowing medium monitoring parameters, the target process monitoring node parameters are used to characterize the heat area smelting parameters of the heat change statistics of the target blast furnace smelting process, and the target process monitoring node parameters include at least one target process monitoring node monitoring parameters; a blast furnace heat data calculation module, used to determine the target blast furnace daily iron production according to the first full-day charging parameters, and according to the blowing medium monitoring parameters and the target The calorific value of the injection medium is calculated according to the daily iron production of the target blast furnace to obtain the total calorific value of the injection medium; the heat change value of each target process monitoring node is calculated according to the target process monitoring node parameters, and the target blast furnace total calorific value is determined according to the heat change value of each target process monitoring node, and the heat change value of each target process monitoring node includes at least one of sensible heat, chemical heat and marginal heat load; an injection medium energy efficiency utilization evaluation module is used to determine the total change of blast furnace heat according to the target blast furnace total calorific value and the preset comparison blast furnace total calorific value, so as to determine the injection medium energy efficiency coefficient according to the ratio of the injection medium total calorific value to the blast furnace total calorific value.

[0013] An embodiment of 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 a method for evaluating energy efficiency utilization of blast furnace injection medium as described in any one of the above embodiments.

[0014] An embodiment of 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 executes a method for evaluating energy efficiency utilization of blast furnace injection medium as described in any one of the above embodiments.

[0015] The present invention provides a method, system, equipment and medium for evaluating the energy efficiency utilization of blast furnace injection medium. The method obtains the first full-day charging parameters, target process monitoring node parameters and injection medium monitoring parameters of the target blast furnace, determines the target blast furnace daily iron production according to the first full-day charging parameters, calculates the injection medium calorific value according to the injection medium monitoring parameters and the target blast furnace daily iron production, obtains the injection medium total calorific value, calculates the calorific value of each target process monitoring node according to the target process monitoring node parameters, determines the target blast furnace total calorific value according to the calorific value of each target process monitoring node, determines the total calorific value of the blast furnace according to the target blast furnace total calorific value and the preset comparison blast furnace total calorific value, and determines the injection medium energy efficiency coefficient according to the ratio of the injection medium total calorific value to the blast furnace total calorific value. The method can obtain the energy efficiency coefficient of the injection medium in the low-carbon blast furnace smelting process under multi-medium injection conditions, helps the operator judge the utilization efficiency of the injection medium, and provides guidance for optimizing blast furnace operation.

[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 It is a flow chart of a method for evaluating energy efficiency utilization of blast furnace injection medium shown in an exemplary embodiment of the present application;

[0020] Figure 3 It is a schematic flow chart of a specific blast furnace injection medium energy efficiency utilization evaluation method shown in an exemplary embodiment of the present application;

[0021] Figure 4 It is a schematic diagram of a blast furnace injection medium energy efficiency utilization evaluation system shown in an exemplary embodiment of the present application;

[0022] Figure 5 It is a structural diagram of a computer system of an electronic device shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] Figure 1 It is a schematic diagram of an exemplary system architecture shown in an exemplary embodiment of the present application.

[0028] Reference Figure 1As shown, the system architecture may include a blast furnace monitoring device 110 and a computer device 120. The computer device 120 obtains the first full-day charging parameter, the target process monitoring node parameter and the injection medium monitoring parameter of the target blast furnace through the blast furnace monitoring device 110, determines the target blast furnace daily iron production according to the first full-day charging parameter, calculates the injection medium calorific value according to the injection medium monitoring parameter and the target blast furnace daily iron production, obtains the injection medium total calorific value, calculates the calorific value of each target process monitoring node according to the target process monitoring node parameter, determines the target blast furnace total calorific value according to the calorific value of each target process monitoring node, determines the blast furnace total calorific value according to the target blast furnace total calorific value and the preset comparison blast furnace total calorific value, and determines the injection medium energy efficiency coefficient according to the ratio of the injection medium total calorific value to the blast furnace total calorific value. The above-mentioned computer equipment 120 can be at least one of a microcomputer, an embedded computer, a network computer, a single-chip microcomputer, etc.; the above-mentioned blast furnace monitoring equipment 110 refers to a device used to collect and obtain the status information of the blast furnace operation process and convert it into digital or analog signals for processing, transmission, storage or display, usually equipped with a sensor device, a data conversion device, a data storage device and a communication module, etc.

[0029] Illustratively, the computer device 120 obtains the first full-day charging parameters, target process monitoring node parameters and injection medium monitoring parameters of the target blast furnace through the blast furnace monitoring device 110, determines the target blast furnace daily iron production according to the first full-day charging parameters, calculates the total heat value of the injection medium according to the injection medium monitoring parameters and the target blast furnace daily iron production, determines the target blast furnace total heat value according to the heat change value of the target process monitoring node parameters, determines the total change in blast furnace heat according to the target blast furnace total heat value and the preset comparison blast furnace total heat value, and determines the injection medium energy efficiency coefficient according to the ratio of the injection medium total heat value and the total change in blast furnace heat; this method can obtain the energy efficiency coefficient of the injection medium in the low-carbon blast furnace smelting process under multi-medium injection conditions, help operators judge the utilization efficiency of the injection medium, and provide guidance for optimizing blast furnace operations.

[0030] Figure 2 is a flowchart of a method for evaluating the energy efficiency of blast furnace injection medium according to an exemplary embodiment of the present application. The method for evaluating the energy efficiency of blast furnace injection medium can be Figure 1 The implementation environment may be implemented in other implementation environments, and the above implementation environments are not specifically limited here. Figure 2 As shown, the flowchart of the blast furnace injection medium energy efficiency utilization evaluation method includes at least steps S210 to S240, which are described in detail as follows:

[0031] In step S210, the first full-day charging parameters, target process monitoring node parameters and injection medium monitoring parameters of the target blast furnace are obtained.

[0032] In one embodiment of the present application, the target process monitoring node parameters are used to characterize the heat zone smelting parameters of the heat change statistics of the target blast furnace smelting process, and the target process monitoring node parameters include monitoring parameters of at least one target process monitoring node.

[0033] In one embodiment of the present application, the first full-day feeding parameter is obtained according to the production record and the monitoring feeding process of the actual production process. In some other embodiments, data can also be obtained according to the daily production plan. The target process monitoring node parameters and the injection medium monitoring parameters are collected and converted by the monitoring device and the sensor detection device set in the blast furnace.

[0034] In one embodiment of the present application, after the target process monitoring node parameters and the injection medium monitoring parameters are acquired, data preprocessing operations such as invalid value detection and elimination, and interpolation processing are also included to improve the application reliability of the data.

[0035] In step S220, the target blast furnace daily iron production is determined according to the first full-day charging parameter, and the calorific value of the injection medium is calculated according to the injection medium monitoring parameters and the target blast furnace daily iron production to obtain the total calorific value of the injection medium.

[0036] In one embodiment of the present application, the first all-day charging parameter includes the target number of all-day charging batches, the target batch weight and the target charge grade. The target daily iron production of the blast furnace is determined according to the product of the target number of all-day charging batches, the target batch weight and the target charge grade, which can be specifically represented as P = N·M b ·T Fe , where P is the target daily iron output of the blast furnace, N is the target number of batches of material, and M is b is the target batch weight, T Fe is the target charge grade.

[0037] In one embodiment of the present application, the sensible heat amount is calculated by multiplying the temperature of the corresponding medium by the heat capacity of the corresponding medium and the volume of the corresponding medium.

[0038] In one embodiment of the present application, the above-mentioned spraying medium monitoring parameters include spraying medium specific heat capacity, spraying medium volume, spraying medium temperature, spraying medium concentration and spraying medium calorific value parameters.

[0039] In one embodiment of the present application, the calculation of the calorific value of the injection medium according to the injection medium monitoring parameters and the target blast furnace daily iron production includes determining the sensible heat of the target injection medium used to smelt each ton of molten iron according to the injection medium specific heat capacity, the injection medium volume, the injection medium temperature and the target blast furnace daily iron production; determining the chemical heat of the target injection medium used to smelt each ton of molten iron according to the injection medium concentration, the injection medium calorific value parameters and the target blast furnace daily iron production; determining the heat sum of the injection medium used to smelt each ton of molten iron based on the numerical sum of the sensible heat and chemical heat of the target injection medium used to smelt each ton of molten iron, and determining the heat sum of the injection medium used to smelt each ton of molten iron as the calorific value of the injection medium. It can be characterized as calculating the sensible heat of the target injection medium Q S1 and target injection medium chemical heat Q C1 , sensible heat Q S1 =c1·V1·T1, where c1 is the specific heat capacity of the spraying medium, V1 is the volume of the spraying medium, T1 is the temperature of the spraying medium, and the calorific value in is the concentration of component A in the spraying medium, CV A is the calorific value of component A of the spraying medium.

[0040] In step S230, the heat change value of each target process monitoring node is calculated according to the target process monitoring node parameters, and the total heat value of the target blast furnace is determined according to the heat change value of each target process monitoring node and the target blast furnace daily iron production.

[0041] In one embodiment of the present application, the heat change value of each target process monitoring node includes at least one of sensible heat, chemical heat and marginal heat load.

[0042] In one embodiment of the present application, the target process monitoring nodes include a top gas node, a blast node, a slag iron node, a coke and coal powder node, and a soft water and industrial water node.

[0043] In one embodiment of the present application, the target process monitoring node parameters include top gas parameters, blast parameters, slag iron parameters, coke and coal powder parameters, and soft water and industrial water parameters.

[0044] In one embodiment of the present application, the sensible heat and chemical heat of the top gas are calculated according to the top gas parameters, which include the top gas specific heat capacity, the top gas volume, the top gas temperature, the top gas component concentration and the top gas component calorific value. The sensible heat Q of the top gas can be calculated. S2 and chemical heat Q of top gas C2 , Q S2 =c2·V2·T2, where c2 is the specific heat capacity of the top gas, V2 is the volume of the top gas, T2 is the top gas temperature, and chemical heat in is the concentration of component B in the top gas, CV B is the calorific value of component B of the top gas.

[0045] In one embodiment of the present application, the sensible heat of the blast is calculated based on the blast parameters, which include the blast specific heat capacity, blast volume, and blast temperature. The sensible heat of the blast Q can be expressed as S3 , blast sensible heat Q S3 =c3·V3·T3, where c3 is the blast specific heat capacity, V3 is the blast volume, and T3 is the blast temperature.

[0046] In one embodiment of the present application, the sensible heat of slag is calculated based on slag parameters, which include the specific heat capacity of molten iron, the temperature of molten iron, and the amount of slag per ton of iron smelting process. It can be characterized as the specific heat capacity of molten iron c4 = 0.462 kJ / (kg.K), the specific heat capacity of slag c5 = 0.276 + 1.138 × 10 -3 ×(T4-273), where T4 is the molten iron temperature, and the sensible heat of the molten iron Q S4 =c4·M4·T4, where M4 is the amount of iron per ton, and the sensible heat of the slag is Q S5 =c5·M5·T4, where M5 is the amount of slag iron per ton of iron smelting process.

[0047] In one embodiment of the present application, the average chemical heat of coke and pulverized coal is calculated according to the coke and pulverized coal parameters, and the coke and pulverized coal parameters include the proportion of coke components, the calorific value of coke components, the proportion of pulverized coal components, and the calorific value of pulverized coal components. It can be characterized as calculating the average calorific value of coke and pulverized coal used according to the coke and pulverized coal parameters, and the average chemical heat of coke Q C3 =∑(ω C ×CV C ), where ω C is the proportion of the Cth coke component, CV C is the calorific value of the Cth coke component, the average chemical heat of coal powder Q C4 =∑(ω D ×CV D ), where ω D is the proportion of the D-type coal powder component, CV D is the calorific value of the Dth type of coal powder component.

[0048] In one embodiment of the present application, the edge heat load is calculated based on the soft water and industrial water parameters, and the edge heat load is the sum of the soft water sensible heat and the industrial water sensible heat. The soft water and industrial water parameters include the soft water specific heat capacity, the soft water volume flow rate, the soft water inlet and outlet temperature difference, the industrial water specific heat capacity, the industrial water volume flow rate and the industrial water inlet and outlet temperature difference. It can be characterized as calculating the blast furnace edge heat load Q S6 , edge heat load Q S6=c6·V6·T6+c7·V7·T7, where c6 and c6 are the specific heat capacity of soft water and the specific heat capacity of industrial water respectively, V6 and V7 are the volume flow rate of soft water and the volume flow rate of industrial water respectively, T6 and T7 are the inlet and outlet temperature difference of soft water and the inlet and outlet temperature difference of industrial water respectively.

[0049] In one embodiment of the present application, determining the target blast furnace total heat value based on the heat change values ​​of each target process monitoring node and the target blast furnace daily iron production includes determining the sensible heat and chemical heat of top gas, the blast sensible heat, the slag sensible heat, the average chemical heat of coke and pulverized coal, and the heat change values ​​of the marginal heat load per ton of target process monitoring nodes involved in smelting each ton of molten iron according to the target blast furnace daily iron production, and determining the sum of the values ​​of the sensible heat and chemical heat of top gas, the blast sensible heat, the slag sensible heat, the average chemical heat of coke and pulverized coal, and the marginal heat load as the heat change values ​​of the target process monitoring nodes involved in smelting each ton of molten iron.

[0050] In step S240, the total change in blast furnace heat is determined according to the target total blast furnace heat value and the preset comparison total blast furnace heat value, so as to determine the energy efficiency coefficient of the injection medium according to the ratio of the total heat value of the injection medium and the total change in blast furnace heat.

[0051] In one embodiment of the present application, the total change in blast furnace heat is determined based on the difference between the target blast furnace heat value and the preset comparison blast furnace heat value.

[0052] In one embodiment of the present application, the acquisition of the above-mentioned preset total heat value of the comparison blast furnace includes acquiring the second full-day charging parameters and the comparison process monitoring node parameters of the comparison blast furnace, wherein the comparison process monitoring node parameters are used to characterize the heat zone smelting parameters of the heat change statistics of the comparison blast furnace smelting process, and the comparison process monitoring node parameters include at least one monitoring parameter of the comparison process monitoring node, and the comparison blast furnace smelting process has no medium injection. The daily iron output of the comparison blast furnace is determined according to the second full-day charging parameters, and the heat change values ​​of each comparison process monitoring node are calculated based on the daily iron output of the comparison blast furnace and the comparison process monitoring node parameters, and the total heat value of the comparison blast furnace is determined according to the heat change values ​​of each comparison process monitoring node, and the heat change values ​​of the comparison process monitoring nodes include at least one of sensible heat, chemical heat and marginal heat load.

[0053] It should be noted that the calculation method for the daily iron production of the comparison blast furnace is consistent with the calculation method for the daily iron production of the target blast furnace in the above-mentioned embodiment. The comparison blast furnace calculates the heat change value of each comparison process monitoring node based on the daily iron production of the comparison blast furnace and the comparison process monitoring node parameters, and determines the total heat value of the comparison blast furnace according to the heat change value of each comparison process monitoring node. The calculation steps are consistent with the calculation process and calculation data type in step S230. The difference is that there is no gas medium injection in the smelting process of the comparison blast furnace, and therefore does not include the calculation process of the calorific value of the injection medium.

[0054] See also Figure 3 , Figure 3 This is a flow chart of a specific method for evaluating the energy efficiency of blast furnace injection medium according to an exemplary embodiment of the present application. Figure 3 As shown, the flowchart of the specific blast furnace injection medium energy efficiency utilization evaluation method includes at least steps S1 to S4, which are described in detail as follows:

[0055] In step S1, the production and smelting parameters of the hydrogen-rich low-carbon blast furnace are collected in real time, including charging parameters, hydrogen-rich medium injection parameters, blast parameters, furnace top parameters, soft water and industrial water parameters, slag iron parameters, and coke and coal powder parameters.

[0056] In step S2, the theoretical daily iron output of the blast furnace is calculated based on the charging parameters.

[0057] In step S3, the sensible heat and chemical heat brought by the injection medium are calculated based on the injection parameters of the injection medium; the sensible heat and chemical heat of the furnace top gas are calculated based on the furnace top parameters; the blast sensible heat is calculated based on the blast parameters; the slag specific heat capacity is obtained based on the slag parameters, and the slag sensible heat is calculated; the average chemical heat of the coke and coal powder used is calculated based on the coke and coal powder parameters; and the blast furnace edge heat load is calculated based on the soft water and industrial water parameters.

[0058] In step S4, the heat changes in the furnace before and after the hydrogen-rich injection are compared, and the energy efficiency coefficient of the hydrogen-rich coal gas medium is obtained by calculating the ratio of the total heat change in the furnace to the heat carried by the hydrogen-rich medium.

[0059] In a specific embodiment of the present application, calculations of the actual production process are performed based on the above steps.

[0060] Table 1 Record of charging parameters for conventional blast furnace without gas injection and low carbon blast furnace

[0061]

[0062]

[0063] As shown in Table 1, Table 1 is a record of charging parameters for conventional blast furnaces without gas injection and low-carbon blast furnaces. According to the number of charging batches throughout the day, charge batch weight, and average charge grade in Table 1, the daily output of the conventional blast furnace without gas injection is 8756t / day, and the daily output of the low-carbon blast furnace is 8849t / day.

[0064] Table 2 Parameter record of hydrogen-rich injection medium for low carbon blast furnace

[0065] name <![CDATA[H2]]> CO <![CDATA[CO2]]> <![CDATA[CH4]]> <![CDATA[N2]]> Gas injection volume Gas temperature unit ％ ％ ％ ％ ％ <![CDATA[Nm 3 / t]]> ℃ Numeric 39.79 27.09 1.12 13.56 18.24 31.5 40

[0066] As shown in Table 2, Table 2 is a record table of the parameters of the hydrogen-rich injection medium of the low-carbon blast furnace. According to the injection parameters in Table 2, the specific heat capacity of the coal gas at 40°C is c1=1.354 kJ / (m 3 ·K), and the sensible heat Q of the sprayed medium is calculated from this S1 =0.013GJ / t, chemical heat of coal gas

[0067] Table 3 Top gas parameter record table of conventional blast furnace without gas injection and low carbon blast furnace

[0068] name CO <![CDATA[CO2]]> <![CDATA[H2]]> <![CDATA[N2]]> Top gas temperature Top gas volume unit ％ ％ ％ ％ ℃ <![CDATA[Nm 3 / t]]> Conventional blast furnace without injection 23.90 22.22 3.50 50.38 160 - Low carbon blast furnace 25.60 23.22 5.00 46.08 145 18 less than normal

[0069] As shown in Table 3, Table 3 is a record table of the top gas parameters of conventional blast furnaces without gas injection and low-carbon blast furnaces. According to the top gas parameters in Table 3, the specific heat capacity of the top gas of conventional blast furnaces without gas injection and low-carbon blast furnaces under the corresponding top gas temperature conditions is obtained as c. 2(常规) =1.468kJ / (m 3 K) and c 2(低碳) =1.464kJ / (m 3 ·K), so the sensible heat of the top gas is Q S2(常规) =0.90GJ / t and Q S2(低碳) =0.85GJ / t, the chemical heat of gas under the two working conditions is Q C2(常规) =5.27GJ / t and Q C2(低碳) =5.4GJ / t, then the change in sensible heat of the furnace top gas ΔQ S2 =-0.05GJ / t, gas chemical heat change ΔQ C2 =0.13GJ / t.

[0070] Table 4 Blast parameter record table of conventional blast furnace without gas injection and low carbon blast furnace

[0071] name Blast volume (oxygen) Blast air temperature Blast humidity Oxygen enrichment unit <![CDATA[Nm 3 / min]]> ℃ ％ ％ Conventional blast furnace without injection 5280 1200 1.618％ 5.3％ Low carbon blast furnace 5250 1200 1.02％ 5.8％

[0072] As shown in Table 4, Table 4 is a record of blast parameters of conventional blast furnaces without gas injection and low-carbon blast furnaces. According to the blast parameters in Table 4, the specific heat capacities of hot air under the two working conditions at 1200°C are c3(常规) =1.546kJ / (m 3 K) and c 3(低碳) =1.547kJ / (m 3 ·K), the sensible heat of hot air is Q S3(常规) =1.981GJ / t and Q S3(低碳) =1.978GJ / t, then the sensible heat reduction of hot air is ΔQ S3 =0.002GJ / t.

[0073] Table 5 Slag and iron parameter record table of low carbon blast furnace

[0074] name Molten iron temperature Slag volume Low carbon blast furnace 15℃ higher than normal 4kg / t less than normal

[0075] As shown in Table 5, Table 5 is a record table of slag parameters of low-carbon blast furnace. According to the slag parameters in Table 5, the specific heat capacity c of blast furnace slag under two working conditions is obtained. 5(常规) =1.686 kJ / (kg·K) and c 5(低碳) =1.704 kJ / (kg·K), the sensible heat of molten iron is Q S4(常规) =0.70GJ / t and Q S4(低碳) =0.71GJ / t, the sensible heat of slag is Q S5(常规) =0.84GJ / t and Q S5(低碳) =0.85GJ / t, then the change in sensible heat of molten iron is ΔQ S4 =0.01GJ / t, the change in sensible heat of slag is ΔQ S5 =0.01GJ / t.

[0076] Table 6 Coke and pulverized coal parameter record table for low carbon blast furnace

[0077] name Coke usage Coke calorific value Coal powder dosage Calorific value of pulverized coal Low carbon blast furnace 5kg / t less than normal 7300kcal / kg 9.1kg / t less than normal 7000kcal / kg

[0078] As shown in Table 6, Table 6 is a record table of coke and pulverized coal parameters for a low-carbon blast furnace. Based on the coke and pulverized coal parameters in Table 6, the chemical heat reduction of solid fuel ΔQ is obtained. C3 +ΔQ C4 =0.42GJ / t.

[0079] Table 7 Soft water and industrial water parameter record table for conventional blast furnaces without gas injection and low carbon blast furnaces

[0080]

[0081] As shown in Table 7, Table 7 is a record table of soft water and industrial water parameters for conventional blast furnaces without gas injection and low-carbon blast furnaces. According to the soft water and industrial water parameters in Table 7, the marginal heat loads under the two working conditions are Q S6(常规) =0.260GJ / t and Q S6(低碳)=0.261GJ / t, then the edge heat load change is ΔQ S6 =0.001GJ / t.

[0082] Based on the specific heat calculations in Tables 1 to 7 above, the total heat value in the low-carbon blast furnace is calculated as Q1 = ΔQ S2 +ΔQ C2 +ΔQ S3 +ΔQ S4 +ΔQ S5 +ΔQ C3 +ΔQ C4 +ΔQ S6 =0.523GJ / t, the total heat value carried by the injection medium is Q2 = Q S1 +Q C1 =0.413GJ / t, then the energy efficiency coefficient of the injection medium η=Q1 / Q2=126.6%.

[0083] The present invention provides a method, system, equipment and medium for evaluating the energy efficiency utilization of blast furnace injection medium. The method obtains the first full-day charging parameters, target process monitoring node parameters and injection medium monitoring parameters of the target blast furnace, determines the target blast furnace daily iron production according to the first full-day charging parameters, calculates the injection medium calorific value according to the injection medium monitoring parameters and the target blast furnace daily iron production, obtains the injection medium total calorific value, calculates the calorific value of each target process monitoring node according to the target process monitoring node parameters, determines the target blast furnace total calorific value according to the calorific value of each target process monitoring node, determines the total calorific value of the blast furnace according to the target blast furnace total calorific value and the preset comparison blast furnace total calorific value, and determines the injection medium energy efficiency coefficient according to the ratio of the injection medium total calorific value to the blast furnace total calorific value. The method can obtain the energy efficiency coefficient of the injection medium in the low-carbon blast furnace smelting process under multi-medium injection conditions, helps the operator judge the utilization efficiency of the injection medium, and provides guidance for optimizing blast furnace operation.

[0084] The following introduces the system embodiment of the present application, which can be used to execute the blast furnace injection medium energy efficiency utilization evaluation 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 embodiment of the blast furnace injection medium energy efficiency utilization evaluation method in the above embodiment of the present application.

[0085] Figure 4 This is a schematic diagram of a blast furnace injection medium energy efficiency evaluation system shown in an exemplary embodiment of the present application. The system can be applied to Figure 2 The method implementation process shown in the figure can be based on Figure 1 The system is executed in the implementation environment shown in the figure, and may also be applicable to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the system is applicable.

[0086] like Figure 4 As shown, the exemplary blast furnace injection medium energy efficiency utilization evaluation system includes: a blast furnace data acquisition module 401, a blast furnace heat data calculation module 402 and a injection medium energy efficiency utilization evaluation module 403.

[0087] Among them, the blast furnace data acquisition module 401 is used to obtain the first full-day charging parameters, target process monitoring node parameters and injection medium monitoring parameters of the target blast furnace, the target process monitoring node parameters are used to characterize the heat zone smelting parameters of the heat change statistics of the target blast furnace smelting process, and the target process monitoring node parameters include at least one monitoring parameter of the target process monitoring node; the blast furnace heat data calculation module 402 is used to determine the target blast furnace daily iron production according to the first full-day charging parameters, and calculate the injection medium heat value according to the injection medium monitoring parameters and the target blast furnace daily iron production, and obtain the injection medium heat value. The total heat value of the blowing medium; the heat change value of each target process monitoring node is calculated according to the target process monitoring node parameters, and the target blast furnace total heat value is determined according to the heat change value of each target process monitoring node, and the heat change value of each target process monitoring node includes at least one of sensible heat, chemical heat and marginal heat load; the blowing medium energy efficiency utilization evaluation module 403 is used to determine the total change of blast furnace heat according to the target blast furnace total heat value and the preset comparison blast furnace total heat value, so as to determine the blowing medium energy efficiency coefficient according to the ratio of the blowing medium total heat value and the blast furnace total heat change.

[0088] The above-mentioned blast furnace injection medium energy efficiency utilization evaluation system also includes a phase database for collecting and storing the specific heat capacity of various gases, liquids and slag iron.

[0089] 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, and when the one or more programs are executed by one or more processors, the electronic device implements the blast furnace injection medium energy efficiency utilization evaluation method provided in the above-mentioned embodiments.

[0090] Figure 5 is a schematic diagram of the structure of a computer system of an electronic device according to an exemplary embodiment of the present application. It should be noted that: Figure 5 The computer system 500 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.

[0091] like Figure 5As shown, computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to the program stored in read-only memory (ROM) 502 or the program loaded from the storage part to random access memory (RAM) 503, such as executing the method in the above embodiment. In RAM 503, various programs and data required for system operation are also stored. CPU 501, ROM 502 and RAM 503 are connected to each other through a bus. Input / output (I / O) interface 505 is also connected to bus 504.

[0092] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 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 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed so that a computer program read therefrom is installed into the storage section 508 as needed.

[0093] 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 509, and / or installed from a removable medium 511. When the computer program is executed by a central processing unit (CPU) 501, various functions defined in the system of the present application are executed.

[0094] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may 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 may 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 may 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.

[0095] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. Among them, 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.

[0096] 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 (constituent_signalpath) 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.

[0097] 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.

[0098] Another aspect of the present application further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above method 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.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] 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.

[0103] It should be understood that the above content of the present application is only a preferred exemplary embodiment of the present application and is not intended to limit the implementation scheme of the present application. Ordinary technicians in this field 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 evaluating the energy efficiency of blast furnace injection medium. It is characterized in that The blast furnace injection medium energy efficiency utilization assessment method comprises: Obtaining the first full-day charging parameters, target process monitoring node parameters and injection medium monitoring parameters of the target blast furnace, wherein the target process monitoring node parameters are used to characterize the heat zone smelting parameters of the heat change statistics of the target blast furnace smelting process, and the target process monitoring node parameters include monitoring parameters of at least one target process monitoring node; Determine the target blast furnace daily iron production according to the first all-day feeding parameter, and calculate the injection medium calorific value according to the injection medium monitoring parameter and the target blast furnace daily iron production to obtain the total calorific value of the injection medium; Calculating the heat change value of each target process monitoring node according to the target process monitoring node parameters, and determining the target blast furnace heat value according to the heat change value of each target process monitoring node, wherein the heat change value of each target process monitoring node includes at least one of sensible heat, chemical heat and marginal heat load; The total change in blast furnace heat is determined according to the target total blast furnace heat value and the preset comparison total blast furnace heat value, so as to determine the energy efficiency coefficient of the injection medium according to the ratio of the total heat value of the injection medium to the total change in blast furnace heat.

2. The method for evaluating the energy efficiency of blast furnace injection medium according to claim 1, It is characterized in that The acquisition of the preset comparison blast furnace total heat value includes: Obtaining the second full-day charging parameters and the comparison process monitoring node parameters of the comparison blast furnace, wherein the comparison process monitoring node parameters are used to characterize the heat zone smelting parameters of the heat change statistics of the comparison blast furnace smelting process, and the comparison process monitoring node parameters include monitoring parameters of at least one comparison process monitoring node, and the comparison blast furnace smelting process has no gas medium injection; Determine the daily iron production of the comparison blast furnace according to the second full-day feeding parameter; Based on the daily iron production of the comparison blast furnace and the comparison process monitoring node parameters, the heat change value of each comparison process monitoring node is calculated respectively, and the total heat value of the comparison blast furnace is determined according to the heat change value of each comparison process monitoring node. The heat change value of the comparison process monitoring node includes at least one of sensible heat, chemical heat and marginal heat load.

3. The method for evaluating the energy efficiency of blast furnace injection medium according to claim 1, It is characterized in that The first all-day feeding parameter includes the target number of feeding batches, the target batch weight and the target charge grade for the day, and the target daily iron output of the blast furnace is determined according to the first all-day feeding parameter. The target daily iron production of the blast furnace is determined according to the product of the target number of batches of material to be charged throughout the day, the target batch weight and the target grade of the charge.

4. The method for evaluating the energy efficiency of blast furnace injection medium according to claim 1, It is characterized in that The injection medium monitoring parameters include injection medium specific heat capacity, injection medium volume, injection medium temperature, injection medium concentration and injection medium calorific value parameters. The injection medium calorific value is calculated based on the injection medium monitoring parameters and the target blast furnace daily iron production, including: Determine the target sensible heat amount of the injection medium required for smelting each ton of molten iron according to the specific heat capacity of the injection medium, the volume of the injection medium, the temperature of the injection medium and the target daily iron production of the blast furnace; Determine the target chemical heat of the injection medium required for smelting each ton of molten iron according to the injection medium concentration, the injection medium calorific value parameter and the target blast furnace daily iron production; The target calorific value of the injection medium is determined based on the numerical sum of the sensible heat of the target injection medium required to smelt each ton of molten iron and the chemical heat of the target injection medium required to smelt each ton of molten iron, and the target calorific value of the injection medium is determined as the calorific value of the injection medium.

5. The method for evaluating the energy efficiency of blast furnace injection medium according to claim 1, It is characterized in that The target process monitoring nodes include a furnace top gas node, a blast node, a slag iron node, a coke and coal powder node, and a soft water and industrial water node.

6. The method for evaluating the energy efficiency of blast furnace injection medium according to claim 5, It is characterized in that The target process monitoring node parameters include top gas parameters, blast parameters, slag iron parameters, coke and pulverized coal parameters, and soft water and industrial water parameters. The heat change values ​​of each target process monitoring node are calculated based on the target process monitoring node parameters and the target blast furnace daily iron production, including: Calculating the sensible heat and chemical heat of the top gas according to the top gas parameters, wherein the top gas parameters include top gas specific heat capacity, top gas volume, top gas temperature, top gas component concentration and top gas component calorific value; Calculating blast sensible heat according to the blast parameters, wherein the blast parameters include blast specific heat capacity, blast volume, and blast temperature; Calculating the sensible heat of slag iron according to the slag iron parameters, wherein the slag iron parameters include the specific heat capacity of molten iron, the molten iron temperature, and the amount of slag iron per ton of iron smelting process; Calculating the average chemical heat of coke and pulverized coal according to the coke and pulverized coal parameters, wherein the coke and pulverized coal parameters include the proportion of coke components, the calorific value of coke components, the proportion of pulverized coal components, and the calorific value of pulverized coal components; The edge heat load is calculated according to the soft water and industrial water parameters, and the edge heat load is the sum of the sensible heat of soft water and the sensible heat of industrial water. The soft water and industrial water parameters include soft water specific heat capacity, soft water volume flow rate, soft water inlet and outlet temperature difference, industrial water specific heat capacity, industrial water volume flow rate and industrial water inlet and outlet temperature difference.

7. The method for evaluating the energy efficiency of blast furnace injection medium according to claim 6, It is characterized in that Determining the target blast furnace total heat value according to the heat change values ​​of each target process monitoring node and the target blast furnace daily iron production includes: According to the target blast furnace daily iron production, the sensible heat and chemical heat of the top gas, the blast sensible heat, the slag iron sensible heat, the average chemical heat of coke and pulverized coal, and the heat change value of the target process monitoring node for smelting per ton of molten iron of the marginal heat load are determined respectively; The sum of the sensible heat and chemical heat of the top gas, the blast sensible heat, the slag sensible heat, the average chemical heat of coke and pulverized coal, and the heat change value of the target process monitoring node for smelting per ton of molten iron at the marginal heat load is determined as the target blast furnace total heat value.

8. A blast furnace injection medium energy efficiency evaluation system, It is characterized in that The blast furnace injection medium energy efficiency utilization evaluation system comprises: A blast furnace data acquisition module, used to acquire the first full-day charging parameters, target process monitoring node parameters and injection medium monitoring parameters of the target blast furnace, wherein the target process monitoring node parameters are used to characterize the heat zone smelting parameters of the heat change statistics of the target blast furnace smelting process, and the target process monitoring node parameters include monitoring parameters of at least one target process monitoring node; A blast furnace heat data calculation module, used to determine the target blast furnace daily iron production according to the first all-day feeding parameter, and calculate the injection medium heat value according to the injection medium monitoring parameter and the target blast furnace daily iron production, to obtain the total heat value of the injection medium; calculate the heat change value of each target process monitoring node according to the target process monitoring node parameter, and determine the target blast furnace total heat value according to the heat change value of each target process monitoring node, wherein the heat change value of each target process monitoring node includes at least one of sensible heat, chemical heat and marginal heat load; The injection medium energy efficiency utilization evaluation module is used to determine the total change in blast furnace heat according to the target blast furnace total heat value and the preset comparison blast furnace total heat value, so as to determine the injection medium energy efficiency coefficient according to the ratio of the injection medium total heat value and the total change in blast furnace heat.

9. An electronic device, It is characterized in that include: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the electronic device to implement the blast furnace injection medium energy efficiency utilization assessment method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, It is 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 caused to execute the method for evaluating energy efficiency utilization of blast furnace injection medium as described in any one of claims 1 to 7.

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