CN104915746A - Purchase before ironmaking and molten iron cost integration management system - Google Patents
Purchase before ironmaking and molten iron cost integration management system Download PDFInfo
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Abstract
The invention discloses a purchase before ironmaking and molten iron cost integration management system. The system comprises an original fuel evaluation expert system and an optimal before ironmaking molten iron cost-target molten iron cost management expert system. The original fuel evaluation expert system comprises a pellet evaluation module, a lump ore evaluation module, a concentrate powder evaluation module, a rich ore powder evaluation module, a fat coal evaluation module, a lean coal evaluation module, a 1/3 coking coal evaluation module, a gas coal evaluation module, a coking coal evaluation module and a ironmaking fuel evaluation module. The optimal before ironmaking molten iron cost-target molten iron cost management expert system comprises an optimal molten iron cost-target molten iron cost expert system. By using the system of the invention, the purchase before ironmaking system is scientific and reasonable; ironmaking production, raw material purchase, transportation and distributed plan unification management are realized; the system is conducive to purchase, logistics, coking, ironmaking production material information feedback and information sharing; and a management flow of ironmaking logistics ratio plan making is simplified.
Description
Technical field
The present invention relates to technical field of ferrous metallurgy, purchase and molten iron cost integrated management system before relating to a kind of iron in particular.
Background technology
In recent years, along with national economic development is slowed down, whole steel industry production capacity is seriously superfluous, Downstream Market demand reduces, the impact of the factor such as to hold at high price of crude fuel, whole nation steel industry is in loss edge substantially, before adding iron and steel enterprise's iron, system cost accounts for about the 65%-70% of steel cost, before a lot of iron and steel enterprise has carried out iron, system cost efficiency is movable, part iron enterprise is not through scientific and reasonable evaluation raw material cost performance, before optimization iron and steel iron when system architecture and scientific analysis market, buy low-grade in a large number, the coal dust of high harmful element and iron ore, the purchase cost of crude fuel is reduction of outwardly, but system (coking before causing iron, pelletizing, sintering, blast furnace) etc. operation production frequent fluctuation, coke quality, sinter quality, molten steel quality significantly glides, not only do not reduce the production cost of system before iron, but also have impact on organization of production balance, even threaten coke oven, the serviceable life of blast furnace, steel product quality is also a greater impact.
Therefore, how to solve the series of problems that system cost efficiency exists before iron, and to need to set up scientific and reasonable, comprehensive " before iron the integrated managing and control system of buying-molten iron cost " be the problem that those skilled in the art need solution badly.
Summary of the invention
In view of this, purchase and molten iron cost integrated management system before the invention provides a kind of iron, the series of problems that before not only solving iron, system cost efficiency exists, and establish scientific and reasonable, comprehensive " before iron buying-molten iron cost integration managing and control system ".
Buying and molten iron cost integrated management system before a kind of iron, comprising: optimum molten iron cost-target molten iron cost managerial expert system before crude fuel evaluation expert system and iron; Wherein, described crude fuel evaluation expert system comprises: pellet evaluation module, lump ore evaluation module, fine ore evaluation module, rich ore powder evaluation module, rich coal evaluation module, lean coal evaluation module, 1/3 coking coal evaluation module, bottle coal evaluation module, coking coal evaluation module, iron-smelting fuel evaluation module; Optimum molten iron cost before described iron-target molten iron cost managerial expert system comprises: optimum molten iron cost-target molten iron cost expert system.
Preferably, before above-mentioned iron buying and molten iron cost integrated management system in, operation (coking, pelletizing, sintering, blast furnace) all kinds of consumption before described crude fuel evaluates that Data In Expert System typing mainly comprises the chemical composition of crude fuel (comprise benchmark crude fuel and evaluate crude fuel), physical property (granularity), metallurgical performance, price, contract are withholdd project, iron, and technical economical index, the auxiliary material price of steel-making part, the empirical data of each operation before iron.
Preferably, before above-mentioned iron buying and molten iron cost integrated management system in, described pelletizing evaluation module, described lump ore evaluation module, described rich ore powder evaluation module and described fine ore evaluation module are all according to iron ore Pu Shi index, using PB block/PB powder as benchmark ore; And computing method are: often kind of iron ore is by element conservation principle, based on the pig iron output entering blast furnace by independent one ton of iron ore and blast-furnace slag quaternary basicity, adopt the methods such as linear, non-linear, calculate the highest procurement price of this iron ore and benchmark iron ore Performance comparision and this iron ore.
Preferably, before above-mentioned iron buying and molten iron cost integrated management system in, described lean coal evaluation module, described 1/3 coking coal evaluation module and described bottle coal evaluation module are with ash content, volatile matter, sulphur content, moisture, property index based on granularity, key evaluation G value, Y value, standard variance, coal petrography mirror matter reflectivity CRI, CSR index, its computing method are according to coking coal evaluation index and score value weight, by indices compared with reference index, and adopt linear, the combination property of non-linear multiple method evaluation coking coal, wherein 1/3 coking coal, bottle coal and lean coal are 100 points, calculate the cost performance of this kind of coking coal and benchmark coal and the highest procurement price.
Preferably, before above-mentioned iron buying and molten iron cost integrated management system in, described coking coal evaluation module and described rich coal evaluation module are with ash content, volatile matter, sulphur content, moisture, property index based on granularity, key evaluation index is G value, Y value, standard variance, coal petrography mirror matter reflectivity, CRI, CSR index, its computing method are according to coking coal evaluation index and score value weight, by indices compared with reference index, and adopt linear, the combination property of non-linear multiple method evaluation coking coal, wherein coking coal, rich coal is all 130 points, calculate the cost performance of this kind of coking coal and benchmark coal and the highest procurement price.
Preferably, before above-mentioned iron buying and molten iron cost integrated management system in, described iron-smelting fuel evaluation module comprises stone coal, bituminous coal evaluation module and coke powder, sintering coal evaluation module; Described iron-smelting fuel evaluation module is property index based on calorific capacity, fixed carbon, ash content, volatile matter, sulphur content, moisture, the high-temperature behavior of this coal of key evaluation, as: explosivity, ash fusion point, kindling point, coefficient, combustion rate, transportation performance, K+Na total quantity index can be ground; Its computing method are according to iron-smelting fuel evaluation index and score value weight, by indices compared with reference index, and adopt linear, non-linear multiple method, science evaluates the combination property of coking coal all sidedly, calculates the highest procurement price of cost performance that this coal dust compares with benchmark Fine coal performance and this kind of coal dust.
Preferably, before above-mentioned iron buying and molten iron cost integrated management system in, described optimum molten iron cost-target molten iron cost expert system is on the basis that described crude fuel evaluates expert system, according to the condition of production of reality, introduce the Automatic coal blending being core with optimum molten iron cost and target molten iron cost, join ore deposit expert system, and with coking, pelletizing, sintering, blast fumance is stablized smoothly, by constrained condition and utilize linear programming, nonlinear programming, BP neural network, the multiple mathematics of genetic algorithm sets up molten iron cost optimal objective function to production run and coal blending, join ore deposit and carry out Automatic Optimal, before making iron, each operation of system is when ensureing product quality and administration measure, complete molten iron cost optimum, end product quality is best, the target that economic benefit is maximum.
Known via above-mentioned technical scheme, compared with prior art, crude fuel of the present invention evaluates expert system by setting up single iron ore Evaluating Models, as long as make crude fuel procurement staff according to system evaluation result, the crude fuel of buying cost performance optimum that not only can be scientific and reasonable, but also new crude fuel resource supplier can be developed, reduce purchase cost to greatest extent, optimization purchases flow process, to reduction iron before system cost, improve the quality of products, production efficiency and iron and steel enterprise's competitive power significant;
Simultaneously before iron, optimum molten iron cost-target molten iron cost systems specialists system carrys out Automatic Optimal coking from more wide visual field, pelletizing, sintering, internal relation between blast furnace operation, find more excellent proportioning, thus saved ironmaking production cost, achieve ironmaking production, the purchasing of raw materials, transport, the management that adapted plan is unitized, be conducive to buying, logistics, coking, ironmaking production material information feedback and information sharing, simplify the management process of ironmaking logistics proportioning plan, the administrative authority of iron and steel enterprise can be made to grasp the overall situation of ironmaking resource requirement before ironmaking, follow the change of iron ore resource supply and demand environment, in real time, make corresponding strategical reajustment in time, simultaneously also for purchasing department provides decision support.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
Fig. 1 accompanying drawing is structural representation of the present invention.
Fig. 2 accompanying drawing is pellet evaluation module structural representation of the present invention.
Fig. 3 accompanying drawing is fine ore evaluation module structural representation of the present invention.
Fig. 4 accompanying drawing is rich coal evaluation module structural representation of the present invention.
Fig. 5 accompanying drawing is 1/3 coking coal evaluation module structural representation of the present invention.
Fig. 6 accompanying drawing is rich ore powder evaluation module structural representation of the present invention.
Fig. 7 accompanying drawing is bottle coal evaluation module structural representation of the present invention.
Fig. 8 accompanying drawing is lump ore evaluation module structural representation of the present invention.
Fig. 9 accompanying drawing is coking coal evaluation module structural representation of the present invention.
Figure 10 accompanying drawing is lean coal evaluation module structural representation of the present invention.
Figure 11 accompanying drawing is stone coal of the present invention, bituminous coal evaluation module structural representation.
Figure 12 accompanying drawing is coke powder of the present invention, sintering coal evaluation module structural representation.
Figure 13 accompanying drawing is optimum molten iron cost-target molten iron cost expert system structure schematic diagram.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Purchase and molten iron cost integrated management system before the embodiment of the invention discloses a kind of iron, the series of problems that before not only solving iron, system cost efficiency exists, and establish scientific and reasonable, comprehensive " before iron buying-molten iron cost integration managing and control system ".
Buying and molten iron cost integrated management system before a kind of iron, comprising: optimum molten iron cost-target molten iron cost managerial expert system before crude fuel evaluation expert system and iron; Wherein, crude fuel evaluation expert system comprises: pellet evaluation module, lump ore evaluation module, fine ore evaluation module, rich ore powder evaluation module, rich coal evaluation module, lean coal evaluation module, 1/3 coking coal evaluation module, bottle coal evaluation module, coking coal evaluation module, iron-smelting fuel evaluation module; Optimum molten iron cost before iron-target molten iron cost managerial expert system comprises: optimum molten iron cost-target molten iron cost expert system.
In order to optimize technique scheme further, crude fuel has taken into full account the chemical composition of crude fuel when evaluating Expert System Design, physical property (granularity), metallurgical performance, price and this kind of crude fuel are to system coking before iron, pelletizing, sintering, the impact that the process such as blast furnace control, therefore the data introduced mainly comprise the chemical composition of crude fuel (comprise benchmark crude fuel and evaluate crude fuel), physical property (granularity), metallurgical performance, price, contract is withholdd project, the coking of operation before iron, pelletizing, sintering, all kinds of consumption of blast furnace, and the technical economical index of iron each operation front, the auxiliary material price of steel-making part, empirical data etc.
In order to optimize technique scheme further, consider when crude fuel evaluates Expert System Design that some trace elements and high-temperature behavior also can to sintering, blast fumance causes very large impact, thus the chemical composition of various breeze is not only considered when developing, physical property, metallurgical performance, sintering basic characteristic, the basic property indexs such as single fire performance, but also consider this kind of ore physicochemical property to sintering, blast furnace, the impact of steel-smelting technology economic target, based on this, pelletizing evaluation module, lump ore evaluation module, rich ore powder evaluation module and fine ore evaluation module are all according to iron ore Pu Shi index, using PB block/PB powder as benchmark ore, and computing method are: often kind of iron ore is by element conservation principle, based on the pig iron output entering blast furnace by independent one ton of iron ore and blast-furnace slag quaternary basicity, adopt the methods such as linear, non-linear, calculate the highest procurement price of this iron ore and benchmark iron ore Performance comparision and this iron ore.
In order to optimize technique scheme further, because coking coal and iron ore have the difference of essence, therefore coking coal system at design and development time need the mutual difference of quality index considering Coal rank, comparability in use procedure, thus for each coal has formulated one group of benchmark ature of coal figureofmerit, and property index based on ash content, volatile matter, sulphur content, moisture, granularity, be G value, Y value, standard variance, coal petrography mirror matter reflectivity, CRI, CSR index to the key evaluation index of coking coal evaluation module, rich coal evaluation module evaluation module, to lean coal evaluation module, 1/3 coking coal evaluate mould, bottle coal evaluation module block key evaluation index be G value, Y value, standard variance, coal petrography mirror matter reflectivity, CRI, CSR index, rich coal evaluation module simultaneously, bottle coal evaluation module, coking coal evaluation module, the computing method of lean coal evaluation module and 1/3 coking coal evaluation module are all according to coking coal evaluation index and score value weight, by indices compared with reference index, and adopt linear, the combination property of non-linear multiple method evaluation coking coal, wherein coking coal, rich coal is all 130 points, 1/3 coking coal, bottle coal, lean coal is 100 points, calculate the cost performance of this kind of coking coal and benchmark coal and the highest procurement price, consider coking coal price, water is poor, missing-ton and due to ash content, sulphur content, what volatile matter and coking behavior thereof caused withholds, determine the economic worth of often kind of coal.
In order to optimize technique scheme further, iron-smelting fuel and iron ore, coking coal have certain difference, its Main Function is exactly for blast furnace provides heat, therefore iron-smelting fuel system mainly considers property index based on calorific capacity, fixed carbon, ash content, volatile matter, sulphur content, moisture etc. when design and development; To pulverized coal injection into blast furna because its Main Function replaces blast-furnace coke exactly, thus when designing the high-temperature behavior of high spot reviews this coal, such as: explosivity, ash fusion point, kindling point, the indexs such as coefficient, combustion rate, transportation performance, K+Na total amount can be ground; To sintering fuel (coke powder, sintering coal) except above-mentioned basic index, also need to investigate its physical property.Method for designing: according to iron-smelting fuel evaluation index and score value weight, by indices compared with reference index, and adopt linear, non-linear multiple method, science evaluates the combination property of coking coal all sidedly, system not only considers the impact of injection coal physicochemical property on self-value, but also considers the impact of this kind of injection coal on blast-furnace technique economic target.The coal dust resource provided according to Trade business is provided, calculates the highest procurement price of cost performance that this coal dust compares with benchmark Fine coal performance and this kind of coal dust.
In order to optimize technique scheme further, before iron system produce be a more complicated production run, relate to Coal Chemical Industry, mineral processing, metallurgical engineering three specialties, management difficulty and production technology level require higher, not only and each operation is separate unit, but also is complementary entirety, the basis that system obtains good economic and technical norms is the stable operation of each operation and produces the product meeting subsequent processing and require, all by blast furnace produce centered by Service Principle.Therefore before design iron, the core concept of optimum molten iron cost-target molten iron cost managerial expert system is with blast furnace administration measure direct motion center, in strict accordance with the requirement that each process quality is served, produce in each operation, in stay-in-grade situation by Optimized Coal Blending, join the target that ore deposit scheme realizes optimum molten iron cost and target molten iron cost.
In order to optimize technique scheme further, optimum molten iron cost before iron-target molten iron cost managerial expert system is in order to carry out scientific and reasonable evaluation to crude fuel, the chemical composition of crude fuel has been taken into full account during system, physical property (granularity), metallurgical performance, price and this kind of crude fuel are to coking, pelletizing, sintering, the impact of blast furnace process control, therefore data entry system mainly comprises the chemical composition of crude fuel, physical property (granularity), metallurgical performance, price and master data (inventory resource, each operation expertise constrained condition, cost data etc.
In order to optimize technique scheme further, optimum molten iron cost-target molten iron cost expert system comprises Coking Coal Blending subsystem, pelletizing joins ore deposit subsystem, mixture structure subsystem, Iron Ore Matching in Sintering subsystem, blast furnace blowing coal blending subsystem, blast furnace join ore deposit subsystem, inventory resource and (demand, buying) project management system, molten iron cost ADMINISTRATION SUBSYSTEM (optimum molten iron cost, target molten iron cost, in conjunction with the actual molten iron of stock).
In order to optimize technique scheme further, Coking Coal Blending subsystem comprises coke making and coal blending subsystem and ironmaking coal blending subsystem; Coke making and coal blending subsystem: coke making and coal blending expert system is based on prediction of coke quality module, a kind of based on Interval Programming and fuzzy programming by setting up, and with the minimum and expertise of coal blending cost for restrictive condition obtains coke cost optimum solution and optimal objective function, when ensureing that coke quality meets blast furnace completely, the cheap coal that polygamy index is relatively poor and utilize existing coal resources to open up the measures such as new coking coal resource to carry out optimizing blending plan, reach the target of coke cost optimum; Ironmaking coal blending subsystem: blast furnace Coal Blending Expert System is based on the quality index of blast furnace blowing Mixture Density Networks (base values and high temperature index), by setting up the mathematical methods such as linear, nonlinear programming, and combine with blast furnace expertise restrictive condition and obtain injecting mixed coal Optimum cost solution and optimal objective function.
In order to optimize technique scheme further, it is based on the chemical composition, quality index, high temperature metallurgical properties etc. that meet blending ore physical property, chemical composition, basic property of high temperature and sintering deposit, pelletizing that mixture structure subsystem, Iron Ore Matching in Sintering subsystem, pelletizing join ore deposit subsystem, set some constrained conditions by expertise and utilize linear programming, nonlinear programming, genetic algorithm etc. to set up meet mixing, sintering, pelletizing process cost optimum objective function realizes sintering, pelletizing cost is minimum joins ore deposit scheme.
In order to optimize technique scheme further, ore deposit subsystem joined by blast furnace: blast furnace ore blending system is on the basis of coking coal blending system and sintering, pelletizing ore blending system, based on the indexs such as various blast furnace feeding crude fuel chemical composition, high-temperature behavior, set some constrained conditions (slag composition, hot metal composition, harmful element load) by expertise, and the objective function utilizing linear programming, nonlinear programming, genetic algorithm etc. to set up to meet blast-melted Optimum cost to the minimum coal blending of system molten iron cost before realizing iron, join ore deposit scheme.
In order to optimize technique scheme further, molten iron cost ADMINISTRATION SUBSYSTEM comprises optimum molten iron cost and target molten iron cost, optimum molten iron cost; When given crude fuel composition, price, quantity, before meeting iron system each operation chemical composition, physical property, basic characteristic, high temperature metallurgical properties, quality index and the some constrained conditions of expertise basis on, by the coal blending of each operation of system before setting up linear programming, nonlinear programming, genetic algorithm optimization iron, join ore deposit scheme, the objective function of system molten iron cost optimum before iron is realized with this, thus aims of systems molten iron cost before realizing iron; Target molten iron cost: when given crude fuel composition, price, quantity, before meeting iron system each operation chemical composition, physical property, basic characteristic, high temperature metallurgical properties, quality index and the some constrained conditions of expertise basis on, by the coal blending of each operation of system before setting up linear programming, nonlinear programming, genetic algorithm etc. and optimizing iron, join ore deposit scheme, the objective function of system molten iron cost optimum before iron is realized with this, thus aims of systems molten iron cost before realizing iron; Stock's real cost: according in the composition of inventory resource in market resource and factory, price, quantity situation, before meeting iron system each operation chemical composition, physical property, basic characteristic, high temperature metallurgical properties, quality index and the some constrained conditions of expertise basis on, by the coal blending of each operation of system before setting up linear programming, nonlinear programming, genetic algorithm etc. and optimizing iron, join ore deposit scheme, the objective function of system molten iron cost optimum before iron is realized with this, thus aims of systems molten iron cost before realizing iron.
In order to optimize technique scheme further, crude fuel resource (stock, plan of needs, procurement plan) ADMINISTRATION SUBSYSTEM comprises inventory management system, plan of needs management system and management of purchasing plan; Wherein inventory management system: by coal blending, join ore deposit expert system to each operation ratio optimization situation, and according to production schedule demand, set some restrictive conditions (wherein principal item is less than February, secondary kind is less than 1.5 months, non-mainstream kind is less than January, set safety stock value, stock's upper limit), maintenance management is carried out to the quantity of inventory resource in the contract resource of each operation of system before iron crude fuel, resource in transit, factory; Plan of needs management system: according to the system production schedule before iron and coal blending, join ore deposit Expert System Optimization result, utilizes mathematical method automatically to calculate the quantity required of the various crude fuel of system before iron every month; Management of purchasing plan: according to the optimum results of optimum molten iron cost-target molten iron cost expert system before crude fuel evaluation expert system and iron, and in conjunction with inventory management system and plan of needs management system, utilize mathematical method automatically to produce the purchase quantity of the various crude fuel of system before iron.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.For device disclosed in embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates see method part.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (7)
1. buying and a molten iron cost integrated management system before iron, is characterized in that, comprising: optimum molten iron cost-target molten iron cost managerial expert system before crude fuel evaluation expert system and iron; Wherein, described crude fuel evaluation expert system comprises: pellet evaluation module, lump ore evaluation module, fine ore evaluation module, rich ore powder evaluation module, rich coal evaluation module, lean coal evaluation module, 1/3 coking coal evaluation module, bottle coal evaluation module, coking coal evaluation module, iron-smelting fuel evaluation module; Optimum molten iron cost before described iron-target molten iron cost managerial expert system comprises: optimum molten iron cost-target molten iron cost expert system.
2. buying and molten iron cost integrated management system before iron according to claim 1, it is characterized in that, operation (coking, pelletizing, sintering, blast furnace) all kinds of consumption before described crude fuel evaluates that Data In Expert System typing mainly comprises the chemical composition of crude fuel (comprise benchmark crude fuel and evaluate crude fuel), physical property (granularity), metallurgical performance, price, contract are withholdd project, iron, and technical economical index, the auxiliary material price of steel-making part, the empirical data of each operation before iron.
3. buying and molten iron cost integrated management system before iron according to claim 1, it is characterized in that, described pelletizing evaluation module, described lump ore evaluation module, described rich ore powder evaluation module and described fine ore evaluation module are all according to iron ore Pu Shi index, using PB block/PB powder as benchmark ore; And computing method are: often kind of iron ore is by element conservation principle, based on the pig iron output entering blast furnace by independent one ton of iron ore and blast-furnace slag quaternary basicity, adopt the methods such as linear, non-linear, calculate the highest procurement price of this iron ore and benchmark iron ore Performance comparision and this iron ore.
4. buying and molten iron cost integrated management system before iron according to claim 1, it is characterized in that, described lean coal evaluation module, described 1/3 coking coal evaluation module and described bottle coal evaluation module are with ash content, volatile matter, sulphur content, moisture, property index based on granularity, key evaluation G value, Y value, standard variance, coal petrography mirror matter reflectivity CRI, CSR index index, its computing method are according to coking coal evaluation index and score value weight, by indices compared with reference index, and adopt linear, the combination property of non-linear multiple method evaluation coking coal, wherein 1/3 coking coal and lean coal, bottle coal is 100 points, calculate the cost performance of this kind of coking coal and benchmark coal and the highest procurement price.
5. buying and molten iron cost integrated management system before iron according to claim 1, it is characterized in that, described coking coal evaluation module and described rich coal evaluation module are with ash content, volatile matter, sulphur content, moisture, property index based on granularity, key evaluation index is G value, Y value, standard variance, coal petrography mirror matter reflectivity, CRI, CSR index, its computing method are according to coking coal evaluation index and score value weight, by indices compared with reference index, and adopt linear, the combination property of non-linear multiple method evaluation coking coal, wherein coking coal, rich coal is all 130 points, calculate the cost performance of this kind of coking coal and benchmark coal and the highest procurement price.
6. buying and molten iron cost integrated management system before iron according to claim 1, it is characterized in that, described iron-smelting fuel evaluation module comprises stone coal, bituminous coal evaluation module and coke powder, sintering coal evaluation module; Described iron-smelting fuel evaluation module is property index based on calorific capacity, fixed carbon, ash content, volatile matter, sulphur content, moisture, the high-temperature behavior of this coal of key evaluation, as: explosivity, ash fusion point, kindling point, coefficient, combustion rate, transportation performance, K+Na total quantity index can be ground; Its computing method are according to iron-smelting fuel evaluation index and score value weight, by indices compared with reference index, and adopt linear, non-linear multiple method, science evaluates the combination property of coking coal all sidedly, calculates the highest procurement price of cost performance that this coal dust compares with benchmark Fine coal performance and this kind of coal dust.
7. buying and molten iron cost integrated management system before iron according to claim 1, it is characterized in that, described optimum molten iron cost-target molten iron cost expert system is on the basis that described crude fuel evaluates expert system, according to the condition of production of reality, introduce the Automatic coal blending being core with optimum molten iron cost and target molten iron cost, join ore deposit expert system, and with coking, pelletizing, sintering, blast fumance is stablized smoothly, by constrained condition and utilize linear programming, nonlinear programming, BP neural network, the multiple mathematics of genetic algorithm sets up molten iron cost optimal objective function to production run and coal blending, join ore deposit and carry out Automatic Optimal, before making iron, each operation of system is when ensureing product quality and administration measure, complete molten iron cost optimum, end product quality is best, the target that economic benefit is maximum.
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| CN105734276A (en) * | 2016-05-12 | 2016-07-06 | 玉溪大红山矿业有限公司 | Comprehensive assessment method and comprehensive assessment system for economical efficiency of iron ores for blast furnace process |
| CN107641675A (en) * | 2017-08-11 | 2018-01-30 | 武汉科技大学 | A kind of method for drafting of COREX gasification furnaces fuel metallurgical performance evolution |
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| CN112734499A (en) * | 2021-01-26 | 2021-04-30 | 建龙阿城钢铁有限公司 | Molten iron reduction cost analysis model |
| CN113313281A (en) * | 2021-04-06 | 2021-08-27 | 华电电力科学研究院有限公司 | Thermal power enterprise multi-coal cost optimization method and system based on electric power market |
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| CN118280475A (en) * | 2024-05-31 | 2024-07-02 | 中国检验认证集团山东有限公司 | Iron ore evaluation method and system based on artificial intelligence |
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| CN103276125A (en) * | 2013-06-20 | 2013-09-04 | 经文波 | Iron-making furnace charge total cost comprehensive optimization |
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Application publication date: 20150916 |