CN114936686A - Optimized ore blending method and device, electronic equipment and readable storage medium - Google Patents

Optimized ore blending method and device, electronic equipment and readable storage medium Download PDF

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CN114936686A
CN114936686A CN202210518922.6A CN202210518922A CN114936686A CN 114936686 A CN114936686 A CN 114936686A CN 202210518922 A CN202210518922 A CN 202210518922A CN 114936686 A CN114936686 A CN 114936686A
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李扬
赵宏博
李永杰
吴建
霍守锋
刘伟
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Beijing Zhiye Internet Technology Co ltd
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Abstract

The embodiment of the application provides an optimized ore blending method, an optimized ore blending device, electronic equipment and a readable storage medium, and relates to the technical field of iron-making production, wherein the method comprises the following steps: constructing a pre-iron comprehensive profit model, wherein the pre-iron comprehensive profit model represents a mapping relation between pre-iron comprehensive profits and raw material proportioning relations between pre-iron comprehensive profits; setting a constraint condition of the pre-iron comprehensive profit model; and obtaining a first raw material proportioning relation by taking the highest daily comprehensive profit as an optimization target according to the pre-iron comprehensive profit model and the constraint conditions. The method and the device can solve the problem that the scheme of optimizing ore blending is not achieved by considering raw material inventory requirements, sintering production requirements and/or blast furnace production requirements at present and obtaining larger economic benefits, and achieve the effects of considering raw material inventory requirements, sintering production requirements and/or blast furnace production requirements in the process of optimizing ore blending and obtaining larger economic benefits.

Description

Optimized ore blending method and device, electronic equipment and readable storage medium
Technical Field
The embodiment of the application relates to the technical field of ironmaking production, in particular to an optimized ore blending method, an optimized ore blending device, electronic equipment and a readable storage medium.
Background
The method for optimizing ore blending is a method for reasonably utilizing raw material resources of enterprises and markets, ensuring smooth production, reducing raw material cost and improving enterprise profits. In practical production application, on one hand, due to resource limitation, the types and prices of ore resources and purchasable ores in enterprises frequently change, so that the aim of optimizing ore blending is difficult to achieve by the current optimizing ore blending method; on the other hand, the quality of raw materials is required to be stable in the production of iron, so that the aim of optimizing ore blending is difficult to achieve by the current optimizing ore blending method.
In the process of implementing the invention, the inventor finds that no scheme for optimizing ore blending is provided by taking into account the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement and obtaining greater economic benefit.
Disclosure of Invention
The embodiment of the application provides an optimization ore blending method, an optimization ore blending device, electronic equipment and a readable storage medium, which can solve the problem that no scheme for optimizing ore blending is provided by considering raw material inventory requirements, sintering production requirements and/or blast furnace production requirements and obtaining greater economic benefits at present.
In a first aspect of the present application, there is provided a method for optimizing ore blending, comprising:
constructing a pre-iron comprehensive profit model, wherein the pre-iron comprehensive profit model represents a mapping relation between pre-iron comprehensive profits and raw material proportioning relations between pre-iron comprehensive profits;
setting a constraint condition of the pre-iron comprehensive profit model;
according to the pre-iron comprehensive profit model and the constraint conditions, taking the highest daily pre-iron comprehensive profit as an optimization target to obtain a first raw material proportioning relation; the first raw material proportioning relationship comprises a proportional relationship among raw materials in uniformly mixed raw materials, a proportional relationship among raw materials in sintered raw materials and/or a proportional relationship among raw materials in blast furnace raw materials.
By adopting the technical scheme, a pre-iron comprehensive profit model is constructed, and constraint conditions of the pre-iron comprehensive profit model are set; according to the pre-iron comprehensive profit model and the constraint conditions, the highest daily pre-iron comprehensive profit is taken as an optimization target to obtain a first raw material proportioning relation; in conclusion, based on the comprehensive profit model and the constraint conditions before iron, the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement can be considered, the optimal ore blending is carried out with the highest comprehensive profit before iron as an optimization target, the maximum economic benefit can be obtained as a target, the problem that the scheme of optimizing the ore blending is carried out without considering the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement at present and with larger economic benefit can be solved, and the effects of considering the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement and with larger economic benefit in the process of optimizing the ore blending are achieved.
In one possible implementation, the constructing a pre-iron integrated profit model includes:
and constructing a pre-iron comprehensive profit model according to the ton iron market price, the daily output proportion of the improvement of the comprehensive in-furnace grade every 1 percent, the comprehensive in-furnace grade reference value, the Fe content in pig iron, the sintering raw material proportion, the sintering raw material price, the ton firing manufacturing cost, the sintering ore proportion during the blast furnace burdening, the pellet proportion during the blast furnace burdening, the lump ore proportion during the blast furnace burdening, other ore proportions during the blast furnace burdening, the pellet price, the lump ore price, other ore prices, the coke ratio, the coal ratio, the coke ratio, the pulverized coal price, the coke price, the fixed cost of ton iron, the standard period ton iron daily manufacturing cost and/or the ton iron recovery cost.
In one possible implementation, the setting of the constraint condition of the pre-iron comprehensive profit model includes:
and setting the constraint condition according to the blending raw material ratio, the available stock of the blending raw materials and/or the stockpiling quantity of the blending raw materials.
In one possible implementation, the setting of the constraint condition of the pre-iron integrated profit model includes:
according to the MgO mass percentage of the sinter, the alkalinity of the sinter, the grade of the sinter and the S of the sinter i O 2 And setting the constraint conditions according to the mass percentage, an iron ore powder sintering characteristic database, an iron ore powder sintering characteristic, a limonite powder ratio, a magnetite ratio and/or a concentrate powder ratio.
In one possible implementation, the setting of the constraint condition of the pre-iron integrated profit model includes:
and setting the constraint conditions according to blast furnace slag components, blast furnace molten iron harmful components, blast furnace charging harmful element loads, pellet ore use proportion range, lump ore use proportion range, sinter ore use proportion and/or comprehensive charging grade limit.
In one possible implementation manner, the method further includes:
obtaining an actual value of the comprehensive furnace entering grade according to the first raw material proportioning relation and the comprehensive furnace entering grade model;
and generating a second raw material proportioning relation according to a preset comprehensive initial furnace-entering grade value, the comprehensive actual furnace-entering grade value and the pre-iron comprehensive profit model based on a deviation threshold or an iteration threshold.
In one possible implementation manner, the method for constructing the integrated furnace inlet grade model comprises the following steps:
and constructing the comprehensive furnace-entering grade model according to the iron content of the sintering raw material, the iron content of the pellet, the iron content of the lump ore, the iron content of other ores, the proportion of the sintering raw material, the proportion of the sintering ore during blast furnace proportioning, the proportion of the pellet during blast furnace proportioning, the proportion of the lump ore during blast furnace proportioning and/or the proportion of other ores during blast furnace proportioning.
In a second aspect of the present application, there is provided an optimized ore blending apparatus comprising:
the system comprises a construction module, a pre-iron comprehensive profit model and a pre-iron comprehensive profit model, wherein the construction module is used for constructing the pre-iron comprehensive profit model which represents the mapping relation between the pre-iron comprehensive profit and the pre-iron raw material proportioning relation;
the setting module is used for setting the constraint conditions of the pre-iron comprehensive profit model;
the obtaining module is used for obtaining a first raw material proportioning relation by taking the highest daily comprehensive profit as an optimization target according to the pre-iron comprehensive profit model and the constraint condition; the first raw material proportioning relationship comprises a proportional relationship among raw materials in uniformly mixed raw materials, a proportional relationship among raw materials in sintered raw materials and/or a proportional relationship among raw materials in blast furnace raw materials.
In a third aspect of the present application, an electronic device is provided. The electronic device includes: a memory having a computer program stored thereon and a processor implementing the method as described above when executing the computer program.
In a fourth aspect of the application, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method.
It should be understood that what is described in this summary section is not intended to limit key or critical features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present application will become apparent from the following description.
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The above and other features, advantages and aspects of various embodiments of the present application will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:
FIG. 1 shows a flow chart of an optimized ore blending method in an embodiment of the present application;
FIG. 2 is a block diagram of an optimized ore blending device in the embodiment of the application;
fig. 3 shows a schematic structural diagram of an electronic device suitable for implementing embodiments of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless otherwise defined, technical or scientific terms referred to herein should have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to only those steps or elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but rather can include electrical connections, whether direct or indirect. Reference herein to "a plurality" means greater than or equal to two. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
The method, the device, the electronic equipment and the readable storage medium for optimizing ore blending provided by the embodiment of the application can be applied to the technical field of iron-making production.
In practical production application, ore blending is carried out according to the current optimized ore blending scheme, and a plurality of problems exist. For example, if the current optimized ore blending plan does not take available inventory limit and ton iron cost into consideration, the current optimized ore blending plan is difficult to execute when ore blending is performed according to the current optimized ore blending plan, and the situation that the ton iron cost is the lowest and the profit of an enterprise is not necessarily the highest occurs. For another example, if the current optimized ore blending scheme does not consider the daily ton iron profit, an enterprise cannot guarantee to obtain a large economic benefit when blending according to the current optimized ore blending scheme.
Therefore, how to reasonably and comprehensively plan available ore blending stock, sintering production requirements and blast furnace production requirements and obtain greater economic benefits is increasingly prominent in iron-making production. In order to solve the technical problem, the embodiment of the application provides an optimized ore blending method. In some embodiments, the optimized ore-blending method may be performed by an electronic device.
For the sake of understanding, terms related to the embodiments of the present application will be described.
The pre-iron system is a general name of a transportation system for mine, sintering, pelletizing, coking, raw material and iron making production in the metallurgical industry.
Iron making is a production process of reducing iron ore with a reducing agent to obtain pig iron at a high temperature. The main raw materials for iron making are iron ore, coke, limestone and air. The iron ore includes hematite, magnetite, etc. The iron content of the iron ore is called grade, the grade of the iron ore is improved by removing other impurities through ore dressing before smelting, and then the iron ore can be sent into a blast furnace for smelting through crushing, grinding and sintering.
Sintering is the process of heating the powder or powder compact to a temperature below the melting point of the essential components therein and then cooling to room temperature at a certain rate and method.
Blast furnace iron making, a method for continuously producing liquid pig iron in a vertical reactor, namely a blast furnace by using coke, iron-containing ore (natural rich lump ore, sintered ore and pellet ore) and flux (limestone and dolomite).
Fig. 1 shows a flowchart of an optimization ore blending method in the embodiment of the present application. Referring to fig. 1, the method for optimizing ore blending in the present embodiment includes:
step S101: and constructing a pre-iron comprehensive profit model which represents a mapping relation between the pre-iron comprehensive profit and the pre-iron raw material proportioning relation.
Step S102: and setting the constraint conditions of the pre-iron comprehensive profit model.
Step S103: according to the pre-iron comprehensive profit model and the constraint conditions, taking the highest daily pre-iron comprehensive profit as an optimization target to obtain a first raw material proportioning relation; the first raw material proportioning relationship comprises a proportional relationship among raw materials in uniformly mixed raw materials, a proportional relationship among raw materials in sintered raw materials and/or a proportional relationship among raw materials in blast furnace raw materials.
By adopting the technical scheme, a pre-iron comprehensive profit model is constructed, and constraint conditions of the pre-iron comprehensive profit model are set; according to the pre-iron comprehensive profit model and the constraint conditions, the highest daily pre-iron comprehensive profit is taken as an optimization target to obtain a first raw material proportioning relation; in conclusion, based on the comprehensive profit model and the constraint conditions before iron, the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement can be considered, the optimal ore blending is carried out with the highest comprehensive profit before iron as an optimization target, the maximum economic benefit can be obtained as a target, the problem that the scheme of optimizing the ore blending is carried out without considering the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement at present and with larger economic benefit can be solved, and the effects of considering the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement and with larger economic benefit in the process of optimizing the ore blending are achieved.
In step S101, a comprehensive profit model before iron is constructed for the available stock demand, sintering production demand, and/or blast furnace production demand of the pre-iron blending raw materials based on the solution idea of the mathematical programming method in the operational research.
Table 1 shows a field stock condition table in the embodiment of the present application. Referring to table 1, the blending stock available inventory requirements include on-site stock available, stock price, and stock composition information. For example, the raw materials include ore powder 1, ore powder 2, ore powder 3, ore powder 4, ore powder 5, ore powder 6, and/or ore concentrate 1 and/or ore concentrate 2, and the inventory, cost, and component information of the raw materials are mixed.
In the embodiment of the application, the sintering production requirements comprise available stock of sintering raw materials, price of the sintering raw materials and composition information of the sintering raw materials required by the sintering production. For example, the raw materials such as the blending ore, dolomite powder, quicklime powder and/or coke breeze in the sintering raw material have the inventory, cost and component information.
In the embodiment of the application, the blast furnace production requirement comprises available inventory of blast furnace raw materials required by blast furnace production, blast furnace raw material price and blast furnace raw material component information. For example, the inventory, cost and composition information of each raw material such as sintered ore, lump ore and/or pellet ore among blast furnace raw materials.
Table 1: on-site inventory condition table
Figure BDA0003642466410000081
Figure BDA0003642466410000091
In step S102, after the pre-iron comprehensive profit model is constructed, constraint conditions of the pre-iron comprehensive profit model are set according to practical application conditions and actual blending raw material available inventory limit, sintering quality limit and/or blast furnace smelting demand of an enterprise.
The constraint conditions include, but are not limited to, current inventory, expected composition of sintered ore, raw material ratio limitation, iron ore powder sintering characteristics, blast furnace slag composition, harmful blast furnace molten iron composition, harmful blast furnace charging element load, pellet ore use ratio range, lump ore use ratio range, comprehensive charging grade limitation, limonite ratio limitation and/or concentrate powder ratio limitation.
In step S103, the daily pre-iron comprehensive profit is used as an objective function, and the proportioning relationship of the raw materials of the pre-iron blending ore, the sintering ore and/or the blast furnace is obtained through iterative calculation, so as to achieve the purpose of the highest daily pre-iron comprehensive profit on the premise of meeting the requirements of inventory, sintering and/or the blast furnace.
In some embodiments, step S101 comprises: step a 1.
Step A1: and constructing a pre-iron comprehensive profit model according to the ton iron market price, the daily output proportion of the improvement of the comprehensive in-furnace grade every 1 percent, the comprehensive in-furnace grade reference value, the Fe content in pig iron, the sintering raw material proportion, the sintering raw material price, the ton firing manufacturing cost, the sintering ore proportion during the blast furnace burdening, the pellet proportion during the blast furnace burdening, the lump ore proportion during the blast furnace burdening, other ore proportions during the blast furnace burdening, the pellet price, the lump ore price, other ore prices, the coke ratio, the coal ratio, the coke ratio, the pulverized coal price, the coke price, the fixed cost of ton iron, the standard period ton iron daily manufacturing cost and/or the ton iron recovery cost.
In the embodiment of the present application, the pre-iron comprehensive profit model is:
P＝{T-{[(∑X i ×P i +M1)×K1+Q×K2+L×K3+T×K4]×(Fe 1 ÷Fe)+J×W2÷1000+R×W3÷1000+D×W4÷1000+F1+F2÷[1+N×(Fe-Fe 0 )]-F3}}×[1+N×(Fe-Fe 0 )]
wherein P represents the comprehensive profit before iron, T represents the market price of ton iron, N represents the daily yield ratio of the improvement of the comprehensive furnace inlet grade every 1%, Fe represents the comprehensive furnace inlet grade, and Fe 0 Represents the reference value of the comprehensive charged grade and Fe 1 Represents Fe content, X in pig iron i Represents the sintering raw material ratio, P i The raw material price of sintering, M1 ton-fired manufacturing cost, K1 blast furnace burden-time sintered ore mix ratio, K2 blast furnace burden-time pellet mix ratio, K3 blast furnace burden-time lump ore mix ratio, K4 blast furnace burden-time other ore mix ratio, Q pellet price, L lump ore price, T other ore price, W2 coke ratio, W3 coal ratio, W4 coke ratio, R coal powder price, J coke price, D coke price, F1 ton-iron fixed cost, F2 standard-term ton-iron-day manufacturing cost, and F3 ton-iron recovery cost.
Wherein P is in units of element/T, T is in units of element/T, N is 0.02, Fe is in units of%, Fe 0 In% M1, in units of element/T, in units of Q, in units of element/T, in units of L, in units of element/T, in units of T, in units of W2, in units of kg/T, in units of W3, in units of W4, in units of element/T, in units of R, J, in units of element/T, in units of D, in units of element/T of F1 (values not affected by yield), in units of element/T of F2 (values decreasing with increasing daily yield), and in units of F3, in units of element/T.
By adopting the technical scheme, the comprehensive profit model before iron is constructed according to the available inventory requirement, sintering production requirement and/or blast furnace production requirement of the uniformly mixed raw materials before iron, so that the effect of considering the inventory requirement of the raw materials, the sintering production requirement and/or the blast furnace production requirement in the optimization ore blending process is achieved.
In some embodiments, step S102 includes: and step B1.
Step B1: and setting the constraint condition according to the blending raw material ratio, the available stock of the blending raw materials and/or the stockpiling quantity of the blending raw materials.
In the present embodiment, the constraints include inventory constraints, which are set by blending stock available inventory limits.
Wherein the available inventory limit for the blending stock is represented by the following formula:
0≤X i ≤w i /w×100
wherein, X i The blending ratio of the uniformly mixed raw materials is expressed in unit; w is a i The available stock of the blending raw materials is represented, and the unit is t; w represents the amount of the kneaded material pile in t.
By adopting the technical scheme, the restriction of the available inventory of the uniformly mixed raw materials in the enterprise reality is realized, the constraint condition of the comprehensive profit model before iron is set, and the effect of obtaining larger economic benefit in the process of optimizing ore blending can be achieved.
In some embodiments, step S102 includes: step C1.
Step C1: according to the MgO mass percentage of the sinter, the alkalinity of the sinter, the grade of the sinter and the S of the sinter i O 2 And setting the constraint conditions according to the mass percentage, the iron ore powder sintering characteristic database, the iron ore powder sintering characteristic, the limonite powder ratio, the magnetite ratio and/or the concentrate powder ratio.
In the embodiment of the present application, the constraint condition includes a sintering constraint condition, and the sintering constraint condition is set by a sintering quality limit.
The sintering quality limit comprises the expected composition limit of the sintered ore, the raw material ratio limit and/or the sintering characteristic limit of the iron ore powder.
Wherein the sinter expected composition limits include: the MgO mass percentage range of the sintered ore is not more than 2.00 percent; basicity of sintered oreIn the range of 1.85 to 2.15; the grade value range of the sinter is more than 55 percent; s of sinter i O 2 The mass percentage range is 4.8-5.3%, and the component setting can be adjusted according to different enterprise requirements.
The raw material ratio limitation comprises: and setting the proportion range of each raw material according to expert experience values or experimental values in an iron ore powder sintering characteristic database.
In order to ensure good granulation and guarantee the air permeability of the material layer, the sintering characteristic limits of the iron ore powder comprise: the liquid phase fluidity ranges from 0.7 to 1.6; the assimilation temperature ranges from 1275 ℃ to 1315 ℃; the proportion of the adhering powder ranges from 40% to-50%.
In addition, the range of the mixture ratio of the limonite powder is 20-40%; the magnetite proportion ranges from 10% to 30%; the proportion of the concentrate powder ranges from 10% to 25%.
By adopting the technical scheme, the constraint condition of the pre-iron comprehensive profit model is set according to the actual sintering quality limit of enterprises, and the effect of obtaining greater economic benefit in the optimized ore blending process can be achieved.
In some embodiments, step S102 includes: and D1.
Step D1: and setting the constraint conditions according to blast furnace slag components, blast furnace molten iron harmful components, blast furnace charging harmful element loads, pellet ore use proportion range, lump ore use proportion range, sinter ore use proportion and/or comprehensive charging grade limit.
In the embodiment of the application, the constraint conditions comprise blast furnace constraint conditions, and the blast furnace constraint conditions are set through blast furnace smelting requirement limitation.
Blast furnace smelting demand limitations include: the method comprises the following steps of blast furnace slag component limitation, blast furnace molten iron harmful component limitation, blast furnace charging harmful element load limitation, pellet ore use proportion range limitation, lump ore use proportion range limitation, sinter ore use proportion limitation and/or comprehensive charging grade limitation.
Wherein the blast furnace slag composition limitation includes: the ratio of magnesium to aluminum ranges from 0.55% to 0.65%; the binary basicity range is 1.1 to 1.2; al in slag 2 O 3 Mass fraction range ofOver 16%.
The blast furnace molten iron harmful ingredient limitation comprises the following steps: the mass fraction range of P is not more than 0.120%; the mass fraction range of Cr is not more than 0.10%.
The load limitation of harmful elements in the blast furnace comprises the following steps: the range of alkali metal is not more than 3 Kg/t; pb is in the range of not more than 0.15 Kg/t; the Zn range is not more than 0.15 Kg/t.
The limitation of the pellet ore use ratio range comprises the following steps: the proportion of the pellet is 10-15%.
The limitation of the use proportion range of the lump ore comprises the following steps: the use ratio of the lump ore ranges from 10% to 15%.
The limitation of the use ratio of the sinter includes: the sintered ore is used in a proportion range of 70% to 80%.
The comprehensive furnace charging grade limitation comprises the following steps: the comprehensive furnace feeding grade range is more than 57 percent.
Through adopting above technical scheme to the metallurgical demand reality of blast furnace of enterprise reality sets up the constraint condition of comprehensive profit model before the iron, can reach and obtain great economic benefits's effect at the optimization ore blending in-process.
It should be noted that step S102 includes step B1, step C1 and step D1, and step S102 includes step B1, step C1 and/or step D1.
Through adopting above technical scheme to the actual mixing raw materials of enterprise can use inventory restriction, sintering quality restriction and/or the reality of blast furnace smelting demand, sets up the restraint condition of comprehensive profit model before the iron, can reach the effect that obtains great economic benefits in optimizing ore blending process.
In some embodiments, the method further comprises: step S104-step S105.
Step S104: and obtaining an actual value of the comprehensive furnace entering grade according to the first raw material proportioning relation and the comprehensive furnace entering grade model.
Step S105: and generating a second raw material proportioning relation according to a preset comprehensive initial furnace-entering grade value, the comprehensive actual furnace-entering grade value and the pre-iron comprehensive profit model based on a deviation threshold or an iteration threshold.
In the embodiment of the present application, the initial value of the integrated charge level in the pre-iron integrated profit model (i.e., the initial value of the preset integrated charge level) is set to any one value between 55 and 60. For example, the initial value of the total furnace inlet grade can be set to 57.3.
In the embodiment of the application, after the optimization is completed, the first raw material proportioning relation is substituted into the comprehensive furnace entering grade model, and the actual value of the comprehensive furnace entering grade is calculated.
In the embodiment of the present application, the deviation threshold may be set to 0.001, and the iteration threshold may be set to 1000,. Comparing the deviation between the preset comprehensive furnace entering grade initial value and the comprehensive furnace entering grade actual value with the deviation threshold value, and ending iterative calculation if the deviation is smaller than the deviation threshold value (the deviation is smaller than 0.001, namely | the preset comprehensive furnace entering grade initial value-the comprehensive furnace entering grade actual value | is smaller than the deviation threshold value); and if not, automatically assigning the initial value of the preset comprehensive furnace entering grade to be an intermediate value between the initial value of the preset comprehensive furnace entering grade and the actual value of the comprehensive furnace entering grade, recalculating until the deviation meets or the iteration times reach the iteration threshold value, and ending the iterative computation.
And after the iterative computation is finished, substituting the initial value of the preset comprehensive furnace feeding grade subjected to the iterative computation into a pre-iron comprehensive profit model to obtain a more accurate raw material proportioning relation (namely a second raw material proportioning relation). The second raw material proportion comprises a blending raw material proportion, a sintering raw material proportion and/or a blast furnace raw material proportion.
For example, specific data of the blend raw material ratio, the sintering raw material ratio, and the blast furnace raw material ratio calculated from the on-site inventory conditions in table 1 are shown in tables 2, 3, and 4.
Table 2 shows the blending ratio of the raw materials in the examples of the present application
Figure BDA0003642466410000151
Table 3 shows the sintering material ratios in the examples of the present application
Variety of (IV) C Blending ore Dolomite powder Quicklime powder Coke breeze
Ratio (%) 83 5.3 7.2 4.5
Table 4 shows the raw material ratio of the blast furnace in the example of the present application
Variety of (IV) C Sintered ore Lump ore Pellet ore
Ratio (%) 76 14 10
By adopting the technical scheme, the first raw material proportioning relation is substituted into a comprehensive charging grade model, and a comprehensive charging grade actual value is calculated; and then generating a second raw material proportioning relation according to a preset comprehensive furnace-entering grade initial value, a comprehensive furnace-entering grade actual value and a pre-iron comprehensive profit model based on a deviation threshold or an iteration threshold, so that the effects of reducing calculation errors and obtaining a raw material proportioning relation with higher accuracy can be achieved.
In some embodiments: step S104 includes: step E1.
Step E1: and constructing the comprehensive furnace-entering grade model according to the iron content of the sintering raw material, the iron content of the pellet, the iron content of the lump ore, the iron content of other ores, the proportion of the sintering raw material, the proportion of the sintering ore during blast furnace proportioning, the proportion of the pellet during blast furnace proportioning, the proportion of the lump ore during blast furnace proportioning and/or the proportion of other ores during blast furnace proportioning.
In the embodiment of the application, the comprehensive furnace feeding grade model is as follows:
Fe＝[(∑X i ×TFe i )×K1+TFe Q ×K2+TFe L ×K3+TFe T ×K4]/100
wherein Fe represents the comprehensive furnace feeding grade; TFe i Represents the iron content of the sintering raw material; TFe Q Representing the iron content of the pellet; TFe L Representing the iron content of the lump ore; TFe T Representing the iron content of other ores; x i Showing the proportion of sintering raw materials; k1 represents the sinter ratio during blast furnace burden; k2 represents the proportion of the pellet ore when the blast furnace is used for proportioning; k3 represents the lump ore ratio during blast furnace batching; k4 represents other ore proportioning during blast furnace batching.
By adopting the technical scheme, the comprehensive furnace entering grade model is constructed, the actual value of the comprehensive furnace entering grade is calculated, and the effects of reducing calculation errors and improving the accuracy of the raw material proportioning relation can be achieved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
The above is a description of embodiments of the method, and the embodiments of the apparatus are described further below.
Fig. 2 shows a block diagram of an optimized ore blending device according to an embodiment of the present application. Referring to fig. 2, the optimized ore proportioning device comprises a building module 201, a setting module 202 and an obtaining module 203.
The building module 201 is configured to build a pre-iron comprehensive profit model, where the pre-iron comprehensive profit model represents a mapping relationship between pre-iron comprehensive profits and raw material proportioning relations between pre-iron profits.
And the setting module 202 is used for setting the constraint conditions of the pre-iron comprehensive profit model.
An obtaining module 203, configured to obtain a first raw material proportioning relationship by taking the highest daily pre-iron comprehensive profit as an optimization objective according to the pre-iron comprehensive profit model and the constraint condition; the first raw material proportioning relationship comprises a proportional relationship among raw materials in uniformly mixed raw materials, a proportional relationship among raw materials in sintered raw materials and/or a proportional relationship among raw materials in blast furnace raw materials.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the described module may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
Fig. 3 shows a schematic structural diagram of an electronic device suitable for implementing embodiments of the present application. As shown in fig. 3, the electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The Processor 301 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
Bus 302 may include a path that transfers information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 3, but this does not mean only one bus or one type of bus.
The Memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the aspects illustrated in the foregoing method embodiments.
Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the use range of the embodiments of the present application.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the prior art, in the embodiment of the application, the pre-iron comprehensive profit model is constructed, and the constraint conditions of the pre-iron comprehensive profit model are set; then according to the pre-iron comprehensive profit model and the constraint conditions, taking the highest daily pre-iron comprehensive profit as an optimization target to obtain a first raw material proportioning relation; in conclusion, based on the comprehensive profit model and the constraint conditions before iron, the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement can be considered, the optimal ore blending is carried out with the highest comprehensive profit before iron as an optimization target, the maximum economic benefit can be obtained as a target, the problem that the scheme of optimizing the ore blending is carried out without considering the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement at present and with larger economic benefit can be solved, and the effects of considering the raw material inventory requirement, the sintering production requirement and/or the blast furnace production requirement and with larger economic benefit in the process of optimizing the ore blending are achieved.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a few embodiments of the present application and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present application, and that these improvements and modifications should also be considered as the protection scope of the present application.

Claims (10)

1. An optimized ore blending method is characterized by comprising the following steps:
constructing a pre-iron comprehensive profit model, wherein the pre-iron comprehensive profit model represents a mapping relation between pre-iron comprehensive profits and raw material proportioning relations between pre-iron comprehensive profits;
setting a constraint condition of the pre-iron comprehensive profit model;
according to the pre-iron comprehensive profit model and the constraint conditions, taking the highest daily pre-iron comprehensive profit as an optimization target to obtain a first raw material proportioning relation; the first raw material proportioning relationship comprises a proportional relationship among raw materials in uniformly mixed raw materials, a proportional relationship among raw materials in sintered raw materials and/or a proportional relationship among raw materials in blast furnace raw materials.
2. The method of claim 1, wherein the constructing a pre-iron integrated profit model comprises:
and constructing a pre-iron comprehensive profit model according to the ton iron market price, the daily output proportion of the improvement of the comprehensive in-furnace grade every 1%, the comprehensive in-furnace grade reference value, the Fe content in pig iron, the sintering raw material proportion, the sintering raw material price, the ton firing manufacturing cost, the sintering ore proportion during the blast furnace batching, the pellet proportion during the blast furnace batching, the lump ore proportion during the blast furnace batching, other ore proportions during the blast furnace batching, the pellet price, the lump ore price, other ore prices, the coke ratio, the coal ratio, the coke ratio, the pulverized coal price, the coke ratio, the ton iron fixing cost, the ton iron daily manufacturing cost in the reference period and/or the ton iron recovery cost based on the planning solution.
3. The method of claim 1, wherein setting the constraints of the pre-iron integrated profit model comprises:
and setting the constraint condition according to the blending raw material ratio, the available stock of blending raw materials and/or the stockpiling quantity of blending raw materials.
4. The method of claim 1, wherein said setting constraints of said pre-iron integrated profit model comprises:
according to the MgO mass percentage of the sinter, the alkalinity of the sinter, the grade of the sinter and the S of the sinter i O 2 And setting the constraint conditions according to the mass percentage, an iron ore powder sintering characteristic database, an iron ore powder sintering characteristic, a limonite powder ratio, a magnetite ratio and/or a concentrate powder ratio.
5. The method of claim 1, wherein said setting constraints of said pre-iron integrated profit model comprises:
and setting the constraint conditions according to blast furnace slag components, blast furnace molten iron harmful components, blast furnace charging harmful element loads, pellet ore use proportion range, lump ore use proportion range, sinter ore use proportion and/or comprehensive charging grade limit.
6. The method of claim 2, further comprising:
obtaining an actual value of the comprehensive furnace entering grade according to the first raw material proportioning relation and the comprehensive furnace entering grade model;
and generating a second raw material proportioning relation according to a preset comprehensive initial furnace-entering grade value, the comprehensive actual furnace-entering grade value and the pre-iron comprehensive profit model based on a deviation threshold or an iteration threshold.
7. The method of claim 6, wherein the method of constructing the integrated furnace-entering grade model comprises:
and constructing the comprehensive furnace-entering grade model according to the iron content of the sintering raw material, the iron content of the pellet, the iron content of the lump ore, the iron content of other ores, the proportion of the sintering raw material, the proportion of the sintering ore during blast furnace proportioning, the proportion of the pellet during blast furnace proportioning, the proportion of the lump ore during blast furnace proportioning and/or the proportion of other ores during blast furnace proportioning.
8. An optimized ore blending device, comprising:
the system comprises a construction module, a pre-iron comprehensive profit model and a pre-iron comprehensive profit model, wherein the construction module is used for constructing the pre-iron comprehensive profit model which represents the mapping relation between the pre-iron comprehensive profit and the pre-iron raw material proportioning relation;
the setting module is used for setting the constraint conditions of the pre-iron comprehensive profit model;
the obtaining module is used for obtaining a first raw material proportioning relation by taking the highest daily comprehensive profit as an optimization target according to the pre-iron comprehensive profit model and the constraint condition; the raw material proportioning relationship comprises a proportional relationship among raw materials in uniformly mixed raw materials, a proportional relationship among raw materials in sintered raw materials and/or a proportional relationship among raw materials in blast furnace raw materials.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program, wherein the processor, when executing the computer program, implements the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202210518922.6A 2022-04-15 2022-05-13 Optimized ore blending method and device, electronic equipment and readable storage medium Pending CN114936686A (en)

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