CN115976293A - Coking and coal blending method and system for reducing blast furnace ton iron coke cost and storage medium - Google Patents

Coking and coal blending method and system for reducing blast furnace ton iron coke cost and storage medium Download PDF

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CN115976293A
CN115976293A CN202211571808.6A CN202211571808A CN115976293A CN 115976293 A CN115976293 A CN 115976293A CN 202211571808 A CN202211571808 A CN 202211571808A CN 115976293 A CN115976293 A CN 115976293A
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coal
coke
standard
dry
formula
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张明星
杜屏
程宝泉
田停
雷鸣
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Jiangsu Shagang Group Co Ltd
Zhangjiagang Hongchang Steel Plate Co Ltd
Jiangsu Shagang Iron and Steel Research Institute Co Ltd
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Jiangsu Shagang Group Co Ltd
Zhangjiagang Hongchang Steel Plate Co Ltd
Jiangsu Shagang Iron and Steel Research Institute Co Ltd
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Abstract

The invention provides a coking and coal blending method, a coking and coal blending system and a storage medium for reducing the cost of blast-furnace ton iron coke.

Description

Coking and coal blending method and system for reducing blast furnace ton iron coke cost and storage medium
Technical Field
The invention relates to the field of coking and coal blending, in particular to a coking and coal blending method, a coking and coal blending system and a storage medium for reducing the cost of blast furnace ton iron coke.
Background
The skeleton action of the coke in the blast furnace has irreplaceability, the improvement of the coke quality is beneficial to improving the process index of the blast furnace, but the coking cost is also increased because more high-price high-quality coking coal needs to be added in the coal blending. Steel enterprises often form respective quality control standards of the blended coal in the process of coal blending and coking, and qualified coke is produced by finely adjusting ash content, volatile components, sulfur content, cohesiveness index, thickness of a colloid layer and the price of the blended coal on the basis of the quality control standards to meet the production requirements of a blast furnace.
The traditional coking and coal blending method usually optimizes coal blending by taking the lowest cost of the blended coal as a target on the basis of a coke quality plant control standard, and the actual coke consumption cost of molten iron is not necessarily the lowest because the method neglects the influence of ash content and sulfur content on the coke ratio of a blast furnace under the same indexes of M40 and CSR.
Disclosure of Invention
The invention aims to provide a coking and coal blending method, a coking and coal blending system and a storage medium for reducing the cost of blast furnace ton iron coke.
The invention provides a coking and coal blending method for reducing the cost of blast furnace ton iron coke, which comprises the following steps:
measuring performance index data of the single coking coal, wherein the performance index data comprises dry-based ash content and dry-based sulfur content of the single coking coal, and acquiring real-time price of the single coking coal;
formulating standard blended coal according to historical data, and taking the standard blended coal as a quality reference standard;
under the condition that the coking coal performance index data meet the quality reference standard, respectively calculating to obtain a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content;
respectively calculating coke indexes of the blended coal formula with the lowest price, the blended coal formula with the lowest dry-based ash content and the blended coal formula with the lowest dry-based sulfur content, and respectively calculating blast furnace ton iron-coke ratios of the three and standard blended coal;
and calculating the cost of the ton iron coke fuel of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content based on the coke index and the blast furnace ton iron coke ratio, and selecting the lowest cost of the ton iron coke fuel among the three as the optimal blending coal formula.
As a further improvement of the invention, the measuring of the performance index data of the single coking coal specifically comprises the following steps:
and measuring dry-based ash content, dry-based volatile components, dry-based sulfur content, caking index and colloid layer thickness of the single coking coal as performance index data, and recording the real-time price of the single coking coal.
As a further improvement of the invention, the standard blending coal is formulated according to historical data and used as a quality reference standard, and the method specifically comprises the following steps:
and selecting standard dry basis ash content, standard dry basis volatile matter, standard dry basis sulfur content, standard caking property index, standard colloid layer thickness and standard price, standard coking coal proportion and standard fat coal proportion of the blended coal as quality reference standards according to historical data.
As a further improvement of the present invention, under the condition that the coking coal performance index data meets the quality reference standard, the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content are respectively calculated, and specifically include:
based on a linear programming method, limiting the performance index data of each coking coal in the blended coal according to the following conditions:
the coking coal dry-based ash content is less than or equal to the standard dry-based ash content, the coking coal dry-based volatile matter is less than or equal to the standard dry-based volatile matter, the dry-based sulfur content is less than or equal to the standard dry-based sulfur content, the coking coal caking index is greater than or equal to the standard caking index, the coking coal colloidal layer thickness is greater than or equal to the standard colloidal layer thickness, the coking coal market grid is less than or equal to the standard price, the coking coal proportion in the blended coal is greater than or equal to the standard coking coal proportion, and the fat coal proportion in the blended coal is greater than or equal to the standard fat coal proportion;
under the condition of meeting the limiting standard, calculating to obtain a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content, and calculating formula dry-based ash content, formula dry-based sulfur content, formula dry-based volatile matter and formula cost of the blending coals of the standards of the three blending coal formulas.
As a further improvement of the invention, the coke indexes of the three and standard blended coal are calculated respectively, and the method specifically comprises the following steps:
respectively calculating the coke cost, the coke ash content and the coke sulfur content of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content, the blending coal formula with the lowest dry-based sulfur content and the standard blending coal according to the following formulas:
p focal = P distribution × 100/(101-Vd distribution)
Ad Focus = Ad with × 100/(101-Vd with)
St, d-focus = St, d-mix × 0.9
Wherein, the coke P is the coke cost, the coke P is the formula cost, the Vd is the formula dry-based volatile component, the coke Ad is the coke ash content, the coke Ad is the formula ash content, the Vd is the formula dry-based volatile component, st, the coke d is the coke sulfur content, st, d are the formula sulfur content.
As a further improvement of the present invention, the calculating the blast furnace ton coke ratio of the three blast furnaces respectively specifically includes:
acquiring a standard blast furnace ton iron-coke ratio corresponding to standard blended coal production coke;
calculating the blast furnace ton iron-coke ratio of the coke cost of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content, the blending coal formula with the lowest dry-based sulfur content and the standard blending coal according to the following formulas:
CR true = CR mark x (1- (St, d Joule. Mark-St, d Joule) × 0.2- (Ad Joule. Mark-Ad Joule) × 0.023)
Wherein, the actual CR is the actual iron-coke ratio per ton of the blast furnace of the formula, the CR is marked by the iron-coke ratio per ton of the standard blast furnace, st and d coke are marked by the sulfur content of standard matched coal coke, st and d coke are marked by the sulfur content of the formula coke, ad coke is marked by the ash content of the standard matched coal coke, and Ad coke is the ash content of the formula coke.
As a further improvement of the present invention, the cost of per ton of iron coke fuel for calculating the lowest-priced blended coal formula, the lowest dry-based ash blended coal formula and the lowest dry-based sulfur content blended coal formula based on the coke index and the blast furnace per ton of iron coke ratio specifically includes:
the cost per ton of iron coke fuel of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content is calculated according to the following formula:
p fuel = P coke x CR practice
Wherein, the P fuel is the cost of the iron coke fuel per ton of the formula.
As a further improvement of the invention, the standard blast furnace ton iron-coke ratio is empirical data calculated according to production conditions.
The invention also provides a coking and coal blending system for reducing the cost of blast furnace ton iron coke, which comprises:
the data storage module is configured for storing the measured performance index data of the single coking coal, wherein the performance index data comprises dry-based ash and dry-based sulfur of the single coking coal, and the real-time price of the single coking coal is obtained;
the standard formulating module is configured for formulating standard blended coal according to historical data and taking the standard blended coal as a quality reference standard;
the calculation module is configured for respectively calculating a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content under the condition that the coking coal performance index data meet the quality reference standard;
respectively calculating coke indexes of the three blended coals and the standard blended coal according to the blended coal formula with the lowest price, the blended coal formula with the lowest dry-based ash content and the blended coal formula with the lowest dry-based sulfur content, and respectively calculating the blast-furnace-ton iron-coke ratio of the three blended coals;
and calculating the cost of the ton iron coke fuel of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content based on the coke index and the blast furnace ton iron coke ratio, and selecting the iron coke fuel with the lowest cost of the ton iron coke fuel as the optimal blending coal formula.
The invention also provides a storage medium which stores executable instructions, and is characterized in that the executable instructions are executed by a processor to implement the method for coking and blending coal by using blast furnace ton iron coke.
The invention has the beneficial effects that: the invention prolongs the process of accounting and calculating the coal blending and coking cost to the blast furnace ironmaking process, increases the influence of the ash content and the sulfur content of the coke on the iron-coke ratio of the blast furnace ton, and takes the influence of the coke index and the coke consumption of the blast furnace on the cost into overall consideration, thereby further reducing the coke cost for the iron consumption of the blast furnace ton.
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FIG. 1 is a schematic diagram showing the steps of a method for blending coking coals to reduce the cost of blast furnace ton of iron coke according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and completely with reference to the following detailed description of the invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention and are not to be construed as limiting the present invention.
Compared with the traditional coking and coal blending method which takes the lowest coal blending cost as the target to optimize the coal blending, the method prolongs the coking and coal blending cost accounting process to the blast furnace ironmaking process, increases the influence of the change of ash content and sulfur content of the coke on the blast furnace iron-coke ratio, and takes the influence of the coke index and the blast furnace coke consumption on the cost into overall consideration, thereby further reducing the cost of the coke for the blast furnace iron consumption.
As shown in FIG. 1, the method for coking and blending blast furnace ton of iron coke comprises the following steps:
s1: and measuring the performance index data of the single coking coal, wherein the performance index data comprises dry-based ash content and dry-based sulfur content of the single coking coal, and acquiring the real-time price of the single coking coal.
S2: and (5) formulating standard blended coal according to historical data, and taking the standard blended coal as a quality reference standard.
S3: and respectively calculating a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content under the condition that the coking coal performance index data meet the quality reference standard.
S4: and respectively calculating coke indexes of the blended coal with the lowest price, the blended coal with the lowest dry-based ash content and the blended coal with the lowest dry-based sulfur content and the standard blended coal, and respectively calculating the blast furnace ton iron-coke ratio of the three.
S5: and calculating the cost of the ton iron coke fuel of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content based on the coke indexes and the blast furnace ton iron coke ratio, and selecting the lowest cost of the ton iron coke fuel among the three as the optimal blending coal formula.
In step S1, it specifically includes:
and measuring dry-based ash content, dry-based volatile components, dry-based sulfur content, caking index and colloid layer thickness of the single coking coal as performance index data, and recording the real-time price of the single coking coal.
The coking coal is raw material coal which is commercially available for producing coke with certain quality under the coking condition of a coking furnace, and after performance indexes of the raw material coal are measured, the performance indexes are recorded in a database as reference standards for subsequent price calculation. The ash content is the residual slag amount left after the coal is completely combusted, the volatile component is the mass loss of the coal after the coal is isolated from air and heated under specified conditions for moisture correction, the sulfur component is the sulfur content of various sulfur-containing compounds contained in the coal after being finally converted into elemental sulfur, the caking property index is a caking property index for representing the capability of the bituminous coal to bind the special anthracite after being heated under the specified conditions, and the thickness of the colloidal layer is the thickness of the colloidal layer continuously formed in the coking process of the bituminous coal.
In addition to the above performance indicators, in other embodiments of the present invention, other performance indicators such as crush strength, reactivity, etc. may be measured as needed to determine the quality of the coal.
In step S2, it specifically includes:
and selecting standard dry basis ash content, standard dry basis volatile matter, standard dry basis sulfur content, standard caking property index, standard colloid layer thickness and standard price, standard coking coal proportion and standard fat coal proportion of the blended coal as quality reference standards according to historical data.
By analyzing the history data, a quality reference standard for the corresponding data is made based on the performance index data measured in step S1. According to actual production needs and market changes, the quality reference standard and the coal type proportion can be adaptively adjusted at any time.
In step S3, it specifically includes:
based on a linear programming method, limiting the performance index data of each coking coal in the blended coal according to the following conditions:
the coking coal dry-based ash content is less than or equal to the standard dry-based ash content, the coking coal dry-based volatile matter is less than or equal to the standard dry-based volatile matter, the dry-based sulfur content is less than or equal to the standard dry-based sulfur content, the coking coal caking index is greater than or equal to the standard caking index, the coking coal colloidal layer thickness is greater than or equal to the standard colloidal layer thickness, the coking coal market grid is less than or equal to the standard price, the coking coal proportion in the blended coal is greater than or equal to the standard coking coal proportion, and the fat coal proportion in the blended coal is greater than or equal to the standard fat coal proportion.
Under the condition of meeting the limiting standards, calculating to obtain a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content, and calculating formula dry-based ash content, formula dry-based sulfur content, formula dry-based volatile matter and formula cost of the blending coals of the standards of the three blending coal formulas.
The method is based on a linear programming method, namely a method for solving the maximum value or the minimum value of the linear objective function under the constraint condition of the inequality. And respectively calculating a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content by defining intervals meeting the limit standards, and performing subsequent price comparison by taking the blending coal formulas as three candidate blending coal formulas.
In step S4, the coke indexes of the three and the standard blended coal are calculated respectively, specifically including:
respectively calculating the coke cost, the coke ash content and the coke sulfur content of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content, the blending coal formula with the lowest dry-based sulfur content and the standard blending coal according to the following formulas:
p focal = P distribution × 100/(101-Vd distribution)
Ad Job = Ad match × 100/(101-Vd match)
St, d-focus = St, d-mix × 0.9
Wherein, the coke P is the coke cost, the coke P is the formula cost, the Vd is the formula dry-basis volatile component, the coke Ad is the coke ash content, the formula ash content is Ad, the Vd is the formula dry-basis volatile component, st, the coke d is the coke sulfur content, st, d are the formula sulfur content.
Further, in step S4, the blast furnace ton coke ratio of the three blast furnaces is calculated respectively, and the method specifically includes:
and obtaining the standard blast furnace ton iron-coke ratio corresponding to the standard blended coal produced coke.
Calculating the blast furnace ton iron-coke ratio of the coke cost of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content, the blending coal formula with the lowest dry-based sulfur content and the standard blending coal according to the following formulas:
CR true = CR mark x (1- (St, d Joule. Mark-St, d Joule) × 0.2- (Ad Joule. Mark-Ad Joule) × 0.023)
Wherein, the actual CR is the actual blast furnace per ton iron-coke ratio of the formula, the CR is marked as the standard blast furnace per ton iron-coke ratio, st, d coke is marked as the sulfur content of the standard matched coal coke, st, d coke is the sulfur content of the formula coke, ad coke is marked as the ash content of the standard matched coal coke, and Ad coke is the ash content of the formula coke.
The standard blast furnace ton iron-coke ratio is empirical data calculated according to production conditions.
In step S5, it specifically includes:
the cost per ton of iron coke fuel of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content is calculated according to the following formula:
p fuel = P coke × CR practice
Wherein, the P fuel is the cost of the iron coke fuel per ton of the formula.
Through the steps S4 and S5, when the coal blending index of the coke M40 and the CSR is considered, the influence of the ash content and the sulfur content of the coke on the quantity of the coke consumed by the blast furnace is further added. In the existing coal blending process, although the scheme formulated according to the index of blended coal can meet the production requirement of a blast furnace, the reduction of the production cost of coke after blending low-price high-sulfur and high-ash coking coal is accompanied with the increase of the dosage of blast furnace ton iron coke, so that the formula is as follows: in this case, the lowest cost of the system as a whole can be actually achieved by considering the changes of the coke index and the amount of the blast furnace coke as a whole.
Based on the same invention concept, the embodiment further provides a coking and coal blending system for reducing the cost of blast furnace ton iron coke, which comprises:
the data storage module is configured for storing the measured performance index data of the single coking coal, wherein the performance index data comprises dry-based ash content and dry-based sulfur content of the single coking coal, and the real-time price of the single coking coal is obtained;
the standard formulating module is configured for formulating standard blended coal according to historical data and taking the standard blended coal as a quality reference standard;
the calculation module is configured for respectively calculating a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content under the condition that the coking coal performance index data meet the quality reference standard;
respectively calculating coke indexes of the blended coal with the lowest price, the blended coal with the lowest dry-based ash content and the blended coal with the lowest dry-based sulfur content, and respectively calculating blast furnace ton iron-coke ratios of the three and standard blended coal;
and calculating the cost of the ton iron coke fuel of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content based on the coke index and the blast furnace ton iron coke ratio, and selecting the iron coke fuel with the lowest cost of the ton iron coke fuel as the optimal blending coal formula.
Based on the same inventive concept, the present embodiment further provides a storage medium storing executable instructions, wherein the executable instructions, when executed by a processor, implement the above method for coking and blending coal with blast-furnace ton of iron coke.
The method for blending coking coal to reduce the cost of blast furnace ton of iron coke is further described by a specific embodiment.
The real-time market price P of the single coal is obtained by measuring the dry-based ash Ad, the dry-based volatile matter Vd, the dry-based sulfur St, d, the cohesiveness index G and the colloidal layer thickness Y of the single coking coal commonly used in the market, and the result is shown in Table 1.
Coal kind Ad/% Vd/% St,d/% G Y/mm P/element/t
Coking coal 1 9.3 20.86 0.35 75 13 2450
Coking coal 2 10.49 19.73 0.64 92 18 2500
Coking coal 3 10.2 22.90 1.35 91 20 2398
Coking coal 4 10.6 18.42 1.7 79 14 2200
Coking coal 5 10.3 18.84 1.7 82 13 2300
Fat coal 1 10.3 28.26 1.7 92 23 2271
Fat coal 2 10 26.55 0.76 92 23.5 2447
Fat coal 3 10.69 29.19 1.63 91 21.5 2200
1/3 coking coal 1 8.8 33.74 0.65 76 13 1800
1/3 coking coal 2 8.1 33.27 0.65 78 13 2021
Lean coking coal 1 10.7 16.07 0.2 75 8 2150
Lean coking coal 2 9.5 16.29 0.6 55 8 1989
TABLE 1
Selecting a reference standard of the quality of the blended coal according to historical data: standard dry basis ash content Ad standard, standard dry basis volatile component Vd standard, standard dry basis sulfur content St, d standard, standard cohesiveness index G standard, standard colloid layer thickness Y standard, standard price P standard, standard coking coal proportion a standard and standard fat coal proportion b standard, and the results are shown in Table 2.
Ad mark/% Vd bid/% St, d mark/%) G mark Y standard/mm P mark/element/t a mark/% b mark/%)
9.85 23.8 1.08 81.7 15.6 2222 49 20
TABLE 2
Based on a linear programming method, limiting the performance index data of each coking coal in the blended coal according to the following conditions:
the coking coal dry-based ash content is less than or equal to the standard dry-based ash content, the coking coal dry-based volatile matter is less than or equal to the standard dry-based volatile matter, the dry-based sulfur content is less than or equal to the standard dry-based sulfur content, the coking coal caking index is greater than or equal to the standard caking index, the coking coal colloidal layer thickness is greater than or equal to the standard colloidal layer thickness, the coking coal market grid is less than or equal to the standard price, the coking coal proportion in the blended coal is greater than or equal to the standard coking coal proportion, and the fat coal proportion in the blended coal is greater than or equal to the standard fat coal proportion.
Under the condition of meeting the limiting standards, the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content are obtained through calculation, the formula dry-based ash content AD distribution, the formula dry-based sulfur content Vd distribution, the formula dry-based volatile matter St and d distribution and the formula cost Pdistribution of the blending coals of the three types of standard blending coal formulas are calculated, and the calculation results are shown in a table 3.
Scheme(s) Ad mix/%) Vd mix/% St, d mix/%) P is/Yuan/t
Lowest cost of mixed coal 9.8 23.8 1.06 2208
Minimum ash content 9.74 23.8 1.06 2222
Minimum sulfur content 9.8 23.8 0.92 2222
TABLE 3
The coke indexes corresponding to the three schemes and the standard blending coal are respectively calculated, and the calculation results are shown in table 4.
Scheme(s) Pj/yuan/t Ad Job% St, d Joule/%)
Standard blended coal 2878 12.76 0.97
Lowest cost of mixed coal 2860 12.69 0.95
Minimum ash content 2878 12.62 0.95
Minimum sulfur content 2878 12.69 0.83
TABLE 4
And (3) acquiring a blast furnace ton iron-coke ratio CR standard corresponding to standard blended coal production coke, calculating the blast furnace ton iron-coke ratio CR true under different coke ash contents and sulfur contents of the three schemes, and calculating results as shown in Table 5.
Scheme(s) Standard blended coal Lowest cost of mixed coal Minimum ash content Minimum sulfur content
Coke ratio CR/kg/t 360 358 357 349
TABLE 5
And calculating the cost P of the blast furnace ton iron coke fuel by using a reference standard scheme and three optimization schemes, wherein the calculation result is shown in table 6, and the lowest sulfur scheme is selected as the optimal coal blending scheme according to the lowest value of the P fuel.
Scheme(s) Standard blended coal Lowest cost of mixed coal Minimum ash content Minimum sulfur content
Cost of per ton iron coke P/yuan/t 1036 1024 1027 1004
TABLE 6
In summary, in the embodiment, the calculation process of the coal blending and coking cost is extended to the blast furnace ironmaking process, the influence of the ash content and the sulfur content of the coke on the blast furnace ton iron-coke ratio is increased, and the influence of the coke index and the blast furnace coke usage on the cost is considered overall, so that the cost of the coke for the blast furnace ton iron consumption is further reduced.
It should be understood that although the specification describes embodiments, not every embodiment includes only a single embodiment, and such description is for clarity purposes only, and it will be appreciated by those skilled in the art that the specification as a whole may be appropriately combined to form other embodiments as will be apparent to those skilled in the art.
The above-listed detailed description is merely a detailed description of possible embodiments of the present invention and is not intended to limit the scope of the invention, which is intended to include within the scope of the invention all equivalent embodiments or modifications that do not depart from the technical spirit of the present invention.

Claims (10)

1. A coking and coal blending method for reducing the cost of blast furnace ton iron coke is characterized by comprising the following steps:
measuring performance index data of the single coking coal, wherein the performance index data comprises dry-based ash content and dry-based sulfur content of the single coking coal, and acquiring real-time price of the single coking coal;
making standard blended coal according to historical data, and taking the standard blended coal as a quality reference standard;
under the condition that the coking coal performance index data meet the quality reference standard, respectively calculating to obtain a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content;
respectively calculating coke indexes of the blended coal formula with the lowest price, the blended coal formula with the lowest dry-based ash content and the blended coal formula with the lowest dry-based sulfur content, and respectively calculating blast furnace ton iron-coke ratios of the three and standard blended coal;
and calculating the cost of the ton iron coke fuel of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content based on the coke index and the blast furnace ton iron coke ratio, and selecting the lowest cost of the ton iron coke fuel among the three as the optimal blending coal formula.
2. The method for coking and blending coal to reduce the cost of blast furnace ton of iron coke according to claim 1, wherein the measuring the performance index data of the single coking coal specifically comprises:
and (3) measuring dry-based ash content, dry-based volatile component, dry-based sulfur content, caking index and colloidal layer thickness of the single coking coal as performance index data, and recording the real-time price of the single coking coal.
3. The method for coking and blending coal to reduce the cost of blast furnace ton iron coke according to claim 2, wherein the standard blending coal is made according to historical data and used as a quality reference standard, and the method specifically comprises the following steps:
and selecting standard dry basis ash content, standard dry basis volatile matter, standard dry basis sulfur content, standard caking property index, standard colloid layer thickness and standard price, standard coking coal proportion and standard fat coal proportion of the blended coal as quality reference standards according to historical data.
4. The coking and coal blending method for reducing the cost of blast furnace ton iron coke according to claim 3, wherein the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content are respectively calculated under the condition that the coking coal performance index data meet the quality reference standard, and the method specifically comprises the following steps:
based on a linear programming method, limiting the performance index data of each coking coal in the blended coal according to the following conditions:
the coking coal dry-based ash content is less than or equal to the standard dry-based ash content, the coking coal dry-based volatile matter is less than or equal to the standard dry-based volatile matter, the dry-based sulfur content is less than or equal to the standard dry-based sulfur content, the coking coal caking index is greater than or equal to the standard caking index, the coking coal colloidal layer thickness is greater than or equal to the standard colloidal layer thickness, the coking coal market grid is less than or equal to the standard price, the coking coal proportion in the blended coal is greater than or equal to the standard coking coal proportion, and the fat coal proportion in the blended coal is greater than or equal to the standard fat coal proportion;
under the condition of meeting the limiting standard, calculating to obtain a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content, and calculating formula dry-based ash content, formula dry-based sulfur content, formula dry-based volatile matter and formula cost of the blending coals of the standards of the three blending coal formulas.
5. The method for coking and blending coal to reduce the cost of blast furnace ton of iron coke according to claim 1, wherein the calculating the coke indexes of the three and the standard blended coal respectively comprises:
respectively calculating the coke cost, the coke ash content and the coke sulfur content of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content, the blending coal formula with the lowest dry-based sulfur content and the standard blending coal according to the following formulas:
p focal = P distribution × 100/(101-Vd distribution)
Ad Focus = Ad with × 100/(101-Vd with)
St, d-focus = St, d-mix × 0.9
Wherein, the coke P is the coke cost, the coke P is the formula cost, the Vd is the formula dry-based volatile component, the coke Ad is the coke ash content, the coke Ad is the formula ash content, the Vd is the formula dry-based volatile component, st, the coke d is the coke sulfur content, st, d are the formula sulfur content.
6. The method for coking and blending coal to reduce the cost of blast furnace ton of iron coke according to claim 5, wherein the calculating the blast furnace ton iron coke ratio of the three respectively comprises:
acquiring a standard blast furnace ton iron-coke ratio corresponding to standard blended coal production coke;
calculating the blast furnace ton iron-coke ratio of the coke cost of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content, the blending coal formula with the lowest dry-based sulfur content and the standard blending coal according to the following formulas:
CR true = CR standard x (1- (St, d coke standard-St, d coke) x 0.2- (Ad coke standard-Ad coke) x 0.023) where CR true is the actual blast furnace ton coke ratio of the recipe, CR standard blast furnace ton coke ratio, st, d coke standard blend coal coke sulfur content, st, d coke is the recipe coke sulfur content, ad coke standard blend coal coke ash content, ad coke is the recipe coke ash content.
7. The method for coking and blending coal to reduce the cost of blast furnace ton of iron coke according to claim 6, wherein the method for calculating the cost of iron coke fuel per ton of the lowest-priced blended coal formulation, the blended coal formulation with the lowest dry ash content and the blended coal formulation with the lowest dry sulfur content based on the coke index and the blast furnace ton of iron coke ratio specifically comprises:
the cost per ton of iron coke fuel of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content is calculated according to the following formula:
p fuel = P coke × CR practice
Wherein, the P fuel is the cost of the iron coke fuel per ton of the formula.
8. The method for coking and blending coal to reduce the cost of blast furnace ton of iron coke according to claim 5, wherein the standard blast furnace ton of iron coke ratio is empirical data calculated according to production conditions.
9. A coking and coal blending system for reducing the cost of blast furnace ton iron coke is characterized by comprising:
the data storage module is configured for storing the measured performance index data of the single coking coal, wherein the performance index data comprises dry-based ash content and dry-based sulfur content of the single coking coal, and the real-time price of the single coking coal is obtained;
the standard formulating module is configured for formulating standard blended coal according to historical data and taking the standard blended coal as a quality reference standard;
the calculation module is configured for respectively calculating a blending coal formula with the lowest price, a blending coal formula with the lowest dry-based ash content and a blending coal formula with the lowest dry-based sulfur content under the condition that the coking coal performance index data meet the quality reference standard;
respectively calculating coke indexes of the blended coal with the lowest price, the blended coal with the lowest dry-based ash content and the blended coal with the lowest dry-based sulfur content, and respectively calculating blast furnace ton iron-coke ratios of the three and standard blended coal;
and calculating the cost of the ton iron coke fuel of the blending coal formula with the lowest price, the blending coal formula with the lowest dry-based ash content and the blending coal formula with the lowest dry-based sulfur content based on the coke index and the blast furnace ton iron coke ratio, and selecting the lowest cost of the ton iron coke fuel among the three as the optimal blending coal formula.
10. A storage medium storing executable instructions, wherein the executable instructions when executed by a processor implement the method for coking and blending coal to reduce the cost of blast furnace ton of iron coke according to any one of claims 1 to 8.
CN202211571808.6A 2022-12-08 2022-12-08 Coking and coal blending method and system for reducing blast furnace ton iron coke cost and storage medium Pending CN115976293A (en)

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