CN110491454B - Blast furnace smelting cost management method and system and computer-storable medium - Google Patents
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Abstract
The invention provides a blast furnace smelting cost management method, a blast furnace smelting cost management system and a computer-storable medium, wherein the method comprises the following steps: providing coking coal, obtaining parameters and proportion of the coking coal, providing ore, and obtaining parameters and proportion of the ore; respectively carrying out coking experiments according to the parameter and the proportion grouping of the coking coal, and respectively carrying out sintering experiments according to the parameter and the proportion grouping of the ore; acquiring coke parameters and sintering parameters; and establishing a mapping relation between coke parameters and a coking coal ratio and between sintering parameters and an ore ratio, and determining a relation between the cost of the iron raw material per ton and the coking coal ratio and the ore ratio. According to a series of relations determined in the foregoing, with the performance requirements of blast furnace smelting on coke and sinter as constraints and the cost per ton of iron consumption as a target, a coking coal blending scheme and a sinter ore blending scheme meeting the cost requirements are calculated by utilizing an optimization technology. The system and the method can guide coking coal blending and sinter blending; can realize low-cost smelting of each blast furnace under respective raw material conditions at any time according to market fluctuation.
Description
Technical Field
The invention relates to the field of metallurgical industry, in particular to a blast furnace smelting cost management method, a blast furnace smelting cost management system and a computer-storable medium.
Background
Low-cost smelting is always the pursued goal of blast furnace ironmaking. The main cost of blast furnace smelting is ore and coke, the key point of cost reduction is on raw materials, and because the price of the raw materials fluctuates with time, the scheme for iron making with low cost, including (ore consumption, coke ratio, blending of sintered ore and blending of coked coal) is also constantly changed, therefore, to realize low-cost smelting of blast furnace, a set of system and method should be provided, which can optimize the blast furnace smelting scheme at any time according to the change of raw material conditions and price, for example, from the perspective of material balance, the iron ore blending ratio is reversely deduced from the composition, however, the method does not pay attention to the requirement of blast furnace smelting on the performance index of sintered ore, does not study the quantitative influence of blending on the performance of sintered ore, and supposes that the practical application of the method has great limitation.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention provides a blast furnace smelting cost management method, system and computer-readable storage medium, which are used to solve the problem that the blast furnace smelting cost is not convenient to manage and optimize in the prior art.
In order to achieve the above objects and other related objects, the present invention provides a blast furnace smelting cost management method, including: providing coking coal, obtaining parameters and proportion of the coking coal, providing ore, and obtaining parameters and proportion of the ore; respectively carrying out coking experiments according to the parameter and the proportion grouping of the coking coal, and respectively carrying out sintering experiments according to the parameter and the proportion grouping of the ore; acquiring coke parameters and sinter parameters after an experiment; and establishing a mapping relation between coke parameters and a coking coal ratio and between sinter parameters and an ore ratio, and determining a relation between the cost of the iron raw material per ton and the coking coal ratio and the ore ratio. According to the series of relations determined in the foregoing, with the performance requirements of blast furnace smelting on coke and sintered ore as constraints and the cost per ton of iron consumption as a target, a coking coal blending scheme and a sintered ore blending scheme meeting the cost requirements are calculated by using an optimization technology. .
Optionally, the step of performing the coking experiment according to the parameter and the ratio group of the coking coal comprises: according to the parameters and the proportion of the coking coal, the coking experiments are respectively carried out by arranging, combining and grouping.
Optionally, according to the parameters of the coke and the number of the proportioning groups, enough proportioning is covered, m is the number of types of coking coal for coking,
optionally, the mathematical expression of the coking parameter is:
wherein q is c As coke parameter, f (X) i ) Is a multiple regression function of coke.
Optionally, the step of performing the sintering experiment according to the ore parameters and the ratio groups respectively comprises: and (4) carrying out permutation and combination and grouping according to the parameters and the proportion of the ores, and respectively carrying out sintering experiments.
Optionally, enough ore parameters and the number of proportioning groups are required to cover the maximum proportioning and the minimum proportioning, and n is the number of the types of the sintering ores:
optionally, the mathematical expression of the sinter parameters is:
wherein, T o As mineral parameter, g (y) j ) Is a multiple regression function of ore parameters.
Optionally, the step of calculating the cost includes setting the indexes of the coking coal and the sintering index requirements according to the smelting requirements, using the indexes as constraints, and obtaining the coke and the ore with the lowest cost according to the objective function.
The utility model provides a blast furnace smelting cost management system, blast furnace smelting cost management system includes backstage processing system and client system, backstage processing system includes raw materials supply source data acquisition abrasive material, experimental design module, experimental data analysis processing module, material and heat balance calculation module and optimization calculation module, client system includes raw materials input module, experimental conditions input module, experiment result input module, data analysis output module and display module, client system with backstage processing module signal connection.
A computer-readable storage medium having stored therein instructions that, when executed on a computer, cause the computer to perform the blast furnace smelting cost management method.
As mentioned above, the blast furnace smelting cost management method, the blast furnace smelting cost management system and the computer-storable medium have the following beneficial effects: the system and the method can guide coking coal blending and sinter blending; the low-cost smelting of each blast furnace under the condition of respective raw materials can be realized at any time according to market fluctuation.
Drawings
FIG. 1 is a schematic flow chart showing a blast furnace smelting cost management method in example 1 of the present invention.
FIG. 2 is a schematic flow chart showing a blast furnace smelting cost management method in example 2 of the present invention.
FIG. 3 shows a blast furnace smelting cost management system provided in embodiment 3 of the present invention
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
Please refer to fig. 1 to 3. It should be noted that the drawings provided in the present embodiment are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated. The structures, proportions, sizes, and other dimensions shown in the drawings and described in the specification are for understanding and reading the present disclosure, and are not intended to limit the scope of the present disclosure, which is defined in the claims, and are not essential to the art, and any structural modifications, changes in proportions, or adjustments in size, which do not affect the efficacy and attainment of the same are intended to fall within the scope of the present disclosure. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
In the implementation process, the maximum proportioning ratio of each coking coal resource provided for a coking plant is investigated, and the maximum proportioning ratio of each ore resource provided for a sintering plant is investigated;
in the range of the maximum mixture ratio, designing enough groups of coking and sintering experiments respectively, testing the performance indexes of the experimental coke and the experimental sinter to determine the matching relationship between the coke performance index and the coking coal and the matching relationship between the sinter performance index and the ore;
determining the relationship between coke and coke indexes and sinter indexes of iron loss per ton and the relationship between sinter and sinter indexes of iron loss per ton according to material balance calculation and heat balance;
determining the cost relation between the coke coal and the ore per ton of iron consumption according to the quantity of the coke and the sinter per ton of iron consumption, the ratio of the coke to the coke coal and the ratio of the sinter to the ore;
according to the series of relations determined in the foregoing, with the performance requirements of blast furnace smelting on coke and sintered ore as constraints and the cost per ton of iron consumption as a target, a coking coal blending scheme and a sintered ore blending scheme meeting the cost requirements are calculated by using an optimization technology.
Embodiment 1 provides a blast furnace smelting cost management method, including:
s1: providing coking coal, obtaining parameters and proportion of the coking coal, providing ore, and obtaining parameters and proportion of the ore;
s2: respectively carrying out coking experiments according to the parameter and the proportion grouping of the coking coal, and respectively carrying out sintering experiments according to the parameter and the proportion grouping of the ore;
s3: acquiring coke parameters and sinter parameters after an experiment;
s4: and establishing a mapping relation between coke parameters and the ratio of coking coal and between sintering parameters and the ratio of ore.
And S5, determining the relationship among the cost of the iron raw materials per ton, the coke-coal ratio and the ore ratio according to the material balance and the heat balance.
S6, calculating a coking coal blending scheme and a sinter ore blending scheme meeting the cost requirements by using the performance requirements of blast furnace smelting on coke and sinter ore as constraints and ton iron consumption cost as a target and utilizing an optimization technology
The procedure for carrying out the coking experiments included: establishing the relationship between coking coal resources and the cost of iron per ton, providing m kinds of coking coal, providing the maximum proportioning ratio X for the coking coal i i In coking experiments and cost management optimization calculations, x i For the proportion of coking coal, the mathematical expression of the constraint conditions of the coking experiment is as follows:
the steps of performing the sintering experiment included: establishing the relation between ore resources and the cost of per ton of iron, providing n ore sources, and providing the maximum proportioning ratio Y by the ore source j j In sintering experiments and cost management optimization calculations, y j For the mixture ratio of ore species j, the following steps are carried out
The constraint condition for the sintering experiment is mathematically expressed as:
coking is carried outThe steps of the experiment further include: the relationship between the metallurgical performance index of the coke and the proportion of the coking coal is established, namely, enough multiple groups of coking experiments are designed and various performance indexes q of the coke after the experiments are measured c To determine the relationship between the coke performance index and the coking coal ratio
m is the number of coal types, f (x) i ) The ratio x of coke performance index to coal type i i Multiple regression function relationship of (1).
The step of performing the sintering experiment further comprises: the relation between the sintered ore metallurgical performance index and the ore proportion is established, namely, enough multiple groups of sintering experiments are designed, and various performance indexes To of the sintered ore after the experiments are measured To determine the relation between the sintered ore performance index and the ore proportion
n is the number of ore species, g (y) j ) Is the ratio y of the performance index of the sinter to the mineral variety j j Multiple regression function relationship of (1). The relation between various ores consumed by the ton of iron and the indexes of the sintered ore is established, namely the relation between the sintered ore consumed by the ton of iron and the indexes of the sintered ore is determined according to material balance calculation, and further the relation between the consumption of various ores consumed by the ton of iron is established. The method establishes the relationship between various coking coals consumed by the iron per ton and coke indexes, namely, the relationship between the coke consumed by the iron per ton, the coke indexes and sinter ore indexes is determined according to material balance calculation and heat balance, and further establishes the relationship between various coking coals consumed by the iron per ton. The step of calculating the cost comprises: and setting the indexes of the coking coal and the sintering index requirements according to the smelting requirements, using the indexes as constraints, and obtaining coke and ore with the lowest cost according to an objective function.
Referring to FIG. 2, embodiment 2 provides a blast furnace smelting cost management method
According to the coking and sintering raw material condition of a certain iron-making plant:
first, there are 4 coal sources in a coke plant of a certain iron and steel company, the maximum supply ratios of the coal sources to the coke plant are X1=0.4, X2=0.5, X3=0.6, X4=0.2, and the maximum supply ratios of the coal sources to the ore sources of the sintering plant are X1= 0.3, Y2=0.45, and Y3=0.7, respectively, for the sintering plant
Next, coking and sintering experiments were designed
The coking experiment is to determine the relationship between the quality index of coke and the ratio of coking coal, and design 20 groups (covering various ratios of each coal source as much as possible) of coking coal blending experiments, wherein each group satisfies
And (3) coking the prepared 20 groups of coking coal samples according to the normal process of a coking plant to obtain cokes, and measuring the indexes of carbon content, sulfur content, ash content, M40, M10, CRI, CSR, coking yield and the like of each group of cokes. The relationship between these indices and the coal ratio is obtained by multiple regression methods, e.g.
The sintering experiment is to determine the relation between the quality index of the sintered ore and the ore proportion, and design 15 groups (covering various proportions of each ore source as much as possible) of sintering ore proportioning experiments, wherein each group satisfies
The low-cost smelting of the blast furnace is converted into an optimization problem which takes the lowest cost of ton iron as a target and satisfies the coke and indexes of the blast furnace smelting as constraint conditions.
1) Constraint conditions
The coke indexes of blast furnace smelting are met, such as CSR is more than or equal to 65 percent, CRI is less than or equal to 26 percent, and ash content is less than or equal to 11 percent
The requirements of the finishing blast furnace smelting on the indexes of the sinter are that TI is more than or equal to 82 percent, RDI is less than or equal to 40 percent, and TFe is more than or equal to 60 percent
Coking coal ratio
2) Objective function
The cost is lowest, namely the sum of the coke cost per unit pig iron and the ore cost is lowest.
3) Calculation process
The calculation actually needs to calculate the coking coal blending and sintering ore blending scheme which can meet the indexes of coke and sintering ore for blast furnace smelting. Is realized by program calculation, and the calculation flow is shown in figure 2.
Referring to fig. 3, embodiment 3 provides a blast furnace smelting cost management system, which includes a background processing system and a client system, wherein the background processing system includes a raw material supply source data acquisition abrasive, an experiment design module, an experiment data analysis processing module, a material and heat balance calculation module and an optimization calculation module, the client system includes a raw material input module, an experiment condition input module, an experiment result input module, a data analysis output module and a display module, and the client system is in signal connection with the background processing module.
Embodiments of the present invention also provide a computer program product comprising instructions which, when executed by a computer, cause the computer to perform the functions of the blast furnace smelting cost management method performed.
All or part of the above embodiments may be implemented by software, hardware, firmware, or any combination thereof. When implemented using a software program, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the application, in whole or in part, result when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium.
For example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, digital subscriber line DSL), or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more available media. The usable medium may be a magnetic medium, such as a floppy disk, hard disk, magnetic tape, optical medium (e.g., DVD), or semiconductor medium (e.g., solid State Disk (SSD)), among others.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. A blast furnace smelting cost management method is characterized by comprising the following steps:
providing coking coal, obtaining parameters and proportion of the coking coal, providing ore, and obtaining parameters and proportion of the ore; respectively carrying out coking experiments according to the parameter and the proportion grouping of the coking coal, and respectively carrying out sintering experiments according to the parameter and the proportion grouping of the ore;
acquiring coke parameters and sinter parameters after an experiment;
establishing a mapping relation between coke parameters and a coking coal ratio and between sintering parameters and an ore ratio, and calculating the cost; the procedure for carrying out the coking experiments included: establishing the relationship between coking coal resources and the cost of iron per ton, providing m kinds of coking coal, providing the maximum proportioning ratio X for the coking coal i i In coking experiments and cost management optimization calculations, x i The mathematical expression of the constraint conditions of the coking experiment is as follows:
the steps of performing the sintering experiment included: establishing the relation between ore resources and the cost of per ton of iron, providing n ore sources, and providing the maximum proportioning ratio Y of the ore sources j j In sintering experiments and cost management optimization calculations, y j For the mixture ratio of ore species j, the following steps are carried out
The constraint condition for the sintering experiment is mathematically expressed as:
2. the blast furnace smelting cost management method according to claim 1, wherein the step of performing coking experiments respectively according to the parameter and the proportion group of the coking coal comprises: according to the parameters and the proportion of the coking coal, the coking experiments are respectively carried out by arranging, combining and grouping.
3. The blast furnace smelting cost management method of claim 1, wherein the step of conducting a coking test further comprises: the relationship between the metallurgical performance index of the coke and the proportion of the coking coal is established, namely, enough multiple groups of coking experiments are designed and various performance indexes q of the coke after the experiments are measured c To determine the relationship between the coke performance index and the coking coal ratio
m is the number of coal types, f (x) i ) The ratio x of coke performance index to coal type i i Multiple regression function relationship of (1).
4. The blast furnace smelting cost management method according to claim 1, wherein the step of performing a sintering experiment further includes: the relation between the sintered ore metallurgical performance index and the ore proportion is established, namely, enough multiple groups of sintering experiments are designed, and various performance indexes To of the sintered ore after the experiments are measured To determine the relation between the sintered ore performance index and the ore proportion
n is the number of ore species, g (y) j ) Is the ratio y of the performance index of the sinter to the mineral variety j j Multiple regression function relationship of (1).
5. The blast furnace smelting cost management method according to claim 1, wherein a relationship between the various ores consumed by the ton of iron and the indexes of the sintered ore is established, that is, the relationship between the indexes of the sintered ore consumed by the ton of iron and the indexes of the sintered ore is determined according to material balance calculation, and further the relationship between the consumption of the various ores consumed by the ton of iron is established.
6. The blast furnace smelting cost management method according to claim 1, wherein a relationship between each of the coke coals consumed by each ton of iron and the coke index is established, that is, a relationship between each of the coke consumed by each ton of iron and the coke index and the sinter ore index is determined according to material balance calculation and heat balance, and a relationship between each of the coke coals consumed by each ton of iron is established.
7. The blast furnace smelting cost management system is characterized by comprising a background processing system and a client system, wherein the background processing system comprises a raw material supply source data acquisition module, an experiment design module, an experiment data analysis processing module, a material and heat balance calculation module and an optimization calculation module; the experimental design module is used for respectively designing enough multiple groups of coking and sintering experiments within the range of the maximum proportioning ratio and testing the performance indexes of experimental coke and experimental sinter;
the experimental data analysis processing module is used for establishing a mapping relation between coke parameters and a coking coal ratio and between sintering parameters and an ore ratio;
the material and heat balance calculation module is used for determining the relationship between the per ton iron consumption coke and coke indexes and the sinter indexes and the relationship between the per ton iron consumption sinter and the sinter indexes according to material balance calculation and heat balance;
the optimization calculation module is used for calculating a coking coal blending scheme and a sinter blending scheme which meet the cost requirement by using the optimization technology and taking the performance requirement of blast furnace smelting on coke and sinter as constraint and the ton iron consumption cost as a target.
8. A computer-readable storage medium having stored therein instructions that, when executed on a computer, cause the computer to perform the blast furnace smelting cost management method of any one of claims 1 to 6.
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