KR101665070B1 - Method and apparatus for blending plan making - Google Patents
Method and apparatus for blending plan making Download PDFInfo
- Publication number
- KR101665070B1 KR101665070B1 KR1020150035948A KR20150035948A KR101665070B1 KR 101665070 B1 KR101665070 B1 KR 101665070B1 KR 1020150035948 A KR1020150035948 A KR 1020150035948A KR 20150035948 A KR20150035948 A KR 20150035948A KR 101665070 B1 KR101665070 B1 KR 101665070B1
- Authority
- KR
- South Korea
- Prior art keywords
- coking coal
- blending
- coke
- ratio
- mixing
- Prior art date
Links
- 238000002156 mixing Methods 0.000 title claims abstract description 333
- 238000000034 method Methods 0.000 title claims abstract description 39
- 239000003245 coal Substances 0.000 claims abstract description 338
- 238000004939 coking Methods 0.000 claims abstract description 321
- 239000000571 coke Substances 0.000 claims abstract description 170
- 239000002994 raw material Substances 0.000 claims abstract description 34
- 238000013461 design Methods 0.000 claims abstract description 27
- 239000000203 mixture Substances 0.000 claims description 72
- 238000013329 compounding Methods 0.000 claims description 63
- 238000009472 formulation Methods 0.000 claims description 24
- 239000006063 cullet Substances 0.000 claims description 23
- 238000004364 calculation method Methods 0.000 claims description 20
- 230000014509 gene expression Effects 0.000 claims description 11
- 238000013500 data storage Methods 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 claims description 7
- 238000012423 maintenance Methods 0.000 claims description 5
- 230000006866 deterioration Effects 0.000 abstract description 5
- JMANVNJQNLATNU-UHFFFAOYSA-N oxalonitrile Chemical class N#CC#N JMANVNJQNLATNU-UHFFFAOYSA-N 0.000 description 9
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 6
- 229910052799 carbon Inorganic materials 0.000 description 6
- 238000003763 carbonization Methods 0.000 description 6
- XFXPMWWXUTWYJX-UHFFFAOYSA-N Cyanide Chemical compound N#[C-] XFXPMWWXUTWYJX-UHFFFAOYSA-N 0.000 description 4
- 238000012417 linear regression Methods 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 239000000295 fuel oil Substances 0.000 description 3
- 229910052717 sulfur Inorganic materials 0.000 description 3
- 239000011593 sulfur Substances 0.000 description 3
- 239000004568 cement Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 229910052571 earthenware Inorganic materials 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000009835 boiling Methods 0.000 description 1
- 239000011280 coal tar Substances 0.000 description 1
- 230000002542 deteriorative effect Effects 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 239000000975 dye Substances 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 238000007429 general method Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000002310 reflectometry Methods 0.000 description 1
- 238000000611 regression analysis Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 230000008961 swelling Effects 0.000 description 1
- 239000004079 vitrinite Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10B—DESTRUCTIVE DISTILLATION OF CARBONACEOUS MATERIALS FOR PRODUCTION OF GAS, COKE, TAR, OR SIMILAR MATERIALS
- C10B37/00—Mechanical treatments of coal charges in the oven
- C10B37/02—Levelling charges, e.g. with bars
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Materials Engineering (AREA)
- Oil, Petroleum & Natural Gas (AREA)
- Organic Chemistry (AREA)
- Coke Industry (AREA)
Abstract
A method for designing a blending scheme for blending a plurality of raw coke as a raw material for producing coke within a period for designing a blending scheme, the method comprising the steps of: applying a unit price of each of a plurality of coke bins while satisfying a plurality of constraint conditions; And the mixing ratio of each of the plurality of raw materials is adjusted so that the sum of the mixing rates per plan day is minimized and the mixing ratio of each of the plurality of the raw materials is adjusted so that the mixing ratio is adjusted Design.
According to the embodiment of the present invention, the blending scheme can be designed so that the sum of blending unit prices per day is minimized. In addition, it is possible to design a blending scheme that satisfies the target coke quality with the current yard coking stock quantity and the inventory quantity to be received in the future, and it is possible to establish a long blending scheme. Therefore, it is possible to prevent the quality deterioration due to lack of inventory of the coking coal, to stabilize the operation and to prevent the problems such as the sudden purchase of the specific coking coal to normalize the quality of the coke, You can block. In addition, it is possible to predict the inventory status of the coking coal from the initial inventory, arrival, and blending plan results during the blending planning period, so that it can be used as data for determining the future direction of purchase.
Description
The present invention relates to a method of designing a mixing ratio of a coking coal and a mixing scheme designing apparatus and more particularly to a mixing scheme designing method for designing a mixing mixing scheme for a plurality of coking coals so as to minimize a sum of daily mixing rates for the plurality of coking coals And a mixing plan designing apparatus.
A general method for producing metallurgical coke is as follows. First, a plurality of coking coal is loaded on the yard by the seeds, and crushed by a crusher as necessary. Then, a plurality of coking coal is stored for each of the different types of coal in different mixing tanks. Thereafter, the coke stored in each mixing tank is discharged and mixed according to a predetermined mixing ratio, transferred to a storage tank, and charged into a coke oven to be carbonized. The compounded coal in which a plurality of cokes are blended is extruded from a coke furnace at a high temperature for a certain period of time, extruded, and then extruded and then extruded into a coke by a wet or dry method. Here, in order to produce a coke of constant quality, a blending ratio for blending coking coal for each type of coal must be designed, and each coking coal is blended according to the designed blending ratio.
On the other hand, for stable operation in the blast furnace, the quality of the coke used as the fuel must be higher than a certain level, and it is necessary that the quality is kept unchanged at each operation. Generally, when high quality coking coal is used as a raw material of coke as a raw material, a high quality coke can be produced. However, high-quality coking coal is limited in reserves, is in high demand worldwide and is not easy to secure as much as necessary.
Therefore, a coke is produced by mixing various cokes so as to produce a coke of suitable quality while lowering the unit cost. In this case, a technique of designing the mixing ratio of the coke is important. This is because various coke to be used as raw materials for coke are transported from all over the world and settled in the yards of steel mills. Since they are supplied according to the international price of each type of coal and the production conditions of mountain regions, Therefore, when one of the coking coal is difficult to supply, the other coking coal in the range of the coking coal similar to the coking coal is supplied and used. Accordingly, the mixing design is irregularly changed in accordance with the availability of available or replaceable coking coal. However, at the time of changing the blending ratio, it is difficult to change the blending design because the quality of the coke to be produced should be kept as constant as possible considering the future supply and demand situation of the raw coke and the unit price of the raw coke.
In order to solve such a problem of mixing design, methods using a mathematical programming method have been attempted. However, to date, most of the design schemes using mathematical programming have focused on deriving short-term combinations from the point of change of formulation to the point of change of the next formulation. This method of mixing design considers the present state of the coking coal, but since the long-term supply and demand situation of each coking coal is overlooked, there arises a problem that the necessary coking coal is exhausted prematurely. And this problem becomes a factor that makes it impossible to mix in order to maintain the target quality of the coke later.
The present invention provides a mixing scheme designing method and mixing scheme designing apparatus capable of minimizing the manufacturing cost while maintaining the quality of coke while maintaining the supply and demand of a plurality of coking coal.
Further, the present invention provides a mixing scheme designing method and mixing scheme designing apparatus capable of designing a mixing ratio plan of a coking coal without damaging and changing the composition of the coking coal.
Further, the present invention provides a method of designing a mixing ratio of coking coal and a mixing scheme designing device which considers the supply and demand state of the raw coking coal within the planned time period, the future purchase direction of each coking coal, and the operating conditions.
The present invention is a method of designing a blending scheme for blending a plurality of raw coke as a raw material for producing coke within a period of time for designing a blending scheme, wherein a unit price of each of a plurality of raw coke is applied while satisfying a plurality of constraint conditions, The mixing ratio of each coking coal is varied to calculate the mixing unit cost per plan day according to the unit price and the mixing ratio and to adjust the blending ratio and mixing ratio of each of the plurality of coking coal so that the sum of the mixing cost per plan day is minimized Designing a formulation plan,
The plurality of constraints include a grade constraint condition for predicting grade characteristics of the coke to be produced so that the predicted coke grade grade satisfies predetermined grading characteristics; Today's inventory constraint to ensure that the final inventory of each coking coal today meets a predetermined inventory criterion; A mixing ratio difference constraint for minimizing the difference between the blending ratio of the previous day and the blending ratio of the present day for each coking coal; A plurality of coking coal groups are set so that a plurality of coking coal is contained in each of the plurality of coking coal, a target compounding ratio is set for each of the coking coal groups, and a design value of the mixing ratio for each coking coal contained in the coking coal group Grouping ratio constraint condition that the sum satisfies the target compounding ratio; And for the raw coke that has begun participating in the formulation, the use and maintenance constraints of the coke to keep it used until the stock is exhausted; .
Wherein the plurality of constraint conditions include a total formulation ratio constraint condition such that the sum of the mixture ratios of the respective cyanogen compounds used in the compounding is 100%; A total inventory constraint that inventory for each coking coal at each batch planning date should not be negative (-) over the entire planning period; The upper limit of the mixing ratio is such that the compounding ratio of each coking coal is equal to or less than the maximum value of the reference compounding ratio of each coking coal; And the number of seeds to be used in the formulation satisfies the prescribed seed number standard.
In the case of designing a blending scheme for a plurality of coking coal so as to minimize the sum of the daily compounding unit prices for the plurality of coke omens, the following formula (1) and a plurality of constraint expressions Mixed integer programming model is used.
[Equation 1]
a: unit price
a i : i Unit price of coking coal
i: any one of a plurality of cullet (i = any one of the first cullet, the second cullet, and the third cullet)
X: compounding ratio
X ij : the mixing ratio of the jth planned day of the ith coking coal
j: One of the planned days in the planning period (j = any of the first planned day, the second planned day, and the third planned day ...)
W 1 : Weight (constant)
W 2 : Weight (constant)
d + ij , d - ij , S + lj , S - lj : a positive real number greater than or equal to zero
Wherein the constraint formula is a formula (2) in which the predicted grade of coke quality is estimated by predicting the grade characteristics of the coke to be produced, and the sum of the blending ratios of the coke to be used in the mixture is 100% (5), which limits the mixing ratio of each coking coal so that the mixing ratio of each coking coal is equal to or less than the maximum value of the reference mixture ratio of each coking coal, and (5) ≪ / RTI >
&Quot; (2) "
(k = first quality characteristic, second quality characteristic, third quality characteristic ...) among the plurality of quality characteristics for the coke,
F k : Estimation of the predicted kth grade property
QLB k : lower limit of reference quality characteristic value of kth quality characteristic
QUB k : Upper limit of reference quality characteristic value of kth quality characteristic
&Quot; (4) "
&Quot; (5) "
UBX i : Upper limit of blending ratio of i coking coal
&Quot; (6) "
I: Inventory
I ij : Inventory for the j-th planned date of the i-th coals
j-1: a day before the j-th planned date
I ij -1 : i Inventory amount of the day before the j-th planned date of the coking coal
P ij : Stock amount of the i-th planned date of the i-th coals
C: Amount of total coking coal usage per plan day
C · X ij : the usage amount of the jth planned day of the ith coking coal
The plurality of constraints include Equation (7), which constrains the number of cullet used in the combination to satisfy the predetermined seed volume standard.
&Quot; (7) "
G ij : 1 or 0
LBX i : the minimum mixing ratio
LBG: Minimum number of coking coal used in compounding
UBG: The upper limit of the number of coking coal used in the formulation
Wherein the plurality of constraints include Equation (8) for limiting the difference between the blending ratio of the previous day and the blending ratio of the day for each coking coal, and a mathematical expression (8) for constraining the continuous use of the coking coal,
&Quot; (8) "
d + ij , d - ij : A float whose positive numeric value is greater than or equal to 0
&Quot; (10) "
G ij : 0 or 1
LBX i : Minimum blending ratio of i- th coals
C · LBX i : Minimum use of i cement by plan day
M: constant
E 1ij , E 2ij ,
The plurality of constraints include Equation (11) that constrains the sum of the designed values of the blending ratios for each coke contained in the coke groups to satisfy the target blending ratio.
&Quot; (11) "
l: any one of the coking coal groups (l = O coking coal group, T coking coal group, V coking coal group ...)
i∈l: i coking coal of l coal group
S +; lj , S - lj : A float whose positive numeric value is greater than or equal to 0
B l : Target mixture ratio of the raw material group
The apparatus for designing a mixing schedule according to the present invention is characterized in that the composition, quality and cost of each of the plurality of coke bins, the current inventory amount of each of the plurality of coke bins, the arrival schedule and the quantity of each of the plurality of coke bins, An input unit in which data of respective blending ratios of previous days are stored; The unit price of each of the plurality of coking coal is applied, the mixing ratio of each coking coal is varied, the mixing unit cost per plan day is calculated according to the unit price and the mixing ratio, A calculation unit for designing a blending scheme for adjusting the blending ratio and the blending ratio of each of the plurality of raw materials so as to be minimum; And an output unit for displaying the mixing ratio of each coking coal according to the mixing schedule calculated by the calculation unit, the quality characteristics for each characteristic of the predicted coke, and the stock prediction amount of each coking oven so that the operator can monitor the mixing ratio,
The plurality of constraints include a grade constraint condition for predicting grade characteristics of the coke to be produced so that the predicted coke grade grade satisfies predetermined grading characteristics; Today's inventory constraint to ensure that the final inventory of each coking coal today meets a predetermined inventory criterion; A mixing ratio difference constraint for minimizing the difference between the blending ratio of the previous day and the blending ratio of the present day for each coking coal; A plurality of coking coal groups are set so that a plurality of coking coal is contained in each of the plurality of coking coal, a target compounding ratio is set for each of the coking coal groups, and a design value of the mixing ratio for each coking coal contained in the coking coal group Grouping ratio constraint condition that the sum satisfies the target compounding ratio; And the use and maintenance constraints of the coking coal that has begun participating in the formulation, such that the coking coal is continuously used until the stock is exhausted.
Wherein the plurality of constraint conditions include a total formulation ratio constraint condition such that the sum of the mixture ratios of the respective cyanogen compounds used in the compounding is 100%; A total inventory constraint that inventory for each coking coal at each batch planning date should not be negative (-) over the entire planning period; The upper limit of the mixing ratio is such that the compounding ratio of each coking coal is equal to or less than the maximum value of the reference compounding ratio of each coking coal; And the number of seeds to be used in the formulation satisfies the prescribed seed number standard.
And a plurality of constraints expressing each of the plurality of constraint conditions expressed by a mathematical expression is included in designing a blend scheme for a plurality of coking coal so as to minimize the sum of the daily compounding costs for the plurality of coking coal .
[Equation 1]
a: unit price
a i : i Unit price of coking coal
i: any one of a plurality of cullet (i = any one of the first cullet, the second cullet, and the third cullet)
X: compounding ratio
X ij : the mixing ratio of the jth planned day of the ith coking coal
j: One of the planned days in the planning period (j = any of the first planned day, the second planned day, and the third planned day ...)
W 1 : Weight (constant)
W 2 : Weight (constant)
d + ij , d - ij , S + lj , S - lj : a positive real number greater than or equal to zero
Wherein the constraint formula is a formula (2) in which the predicted grade of coke quality is estimated by predicting the grade characteristics of the coke to be produced, and the sum of the blending ratios of the coke to be used in the mixture is 100% (5), which limits the mixing ratio of each coking coal so that the mixing ratio of each coking coal is equal to or less than the maximum value of the reference mixture ratio of each coking coal, and (5) ≪ / RTI >
&Quot; (2) "
(k = first quality characteristic, second quality characteristic, third quality characteristic ...) among the plurality of quality characteristics for the coke,
F k : Estimation of the predicted kth grade property
QLB k : lower limit of reference quality characteristic value of kth quality characteristic
QUB k : Upper limit of reference quality characteristic value of kth quality characteristic
&Quot; (4) "
&Quot; (5) "
UBX i : Upper limit of blending ratio of i coking coal
&Quot; (6) "
I: Inventory
I ij : Inventory for the j-th planned date of the i-th coals
j-1: a day before the j-th planned date
I ij -1 : i Inventory amount of the day before the j-th planned date of the coking coal
P ij : Stock amount of the i-th planned date of the i-th coals
C: Total coking coal consumption per plan day
C · X ij : the usage amount of the jth planned day of the ith coking coal
The plurality of constraints include Equation (7), which constrains the number of cullet used in the combination to satisfy the predetermined seed volume standard.
&Quot; (7) "
G ij : 1 or 0
LBX i : the minimum mixing ratio
Wherein the plurality of constraints include Equation (8) for limiting the difference between the blending ratio of the previous day and the blending ratio of the day for each coking coal, and a mathematical expression (8) for constraining the continuous use of the coking coal,
&Quot; (8) "
d+ ij, d- ij : A float whose positive numeric value is greater than or equal to 0
&Quot; (10) "
G ij : 0 or 1
LBX i : Minimum blending ratio of i- th coals
C · LBXi: Minimum daily usage of i coking coal by plan day
M: constant
E 1ij , E 2ij ,
(11) for limiting the sum of the design values of the blending ratios for each coke contained in the coke group to satisfy the target blending ratio.
&Quot; (11) "
l: any one of the coking coal groups (l = O coking coal group, T coking coal group, V coking coal group ...)
i∈l: i coking coal of l coal group
S +; lj , S - lj : A float whose positive numeric value is greater than or equal to 0
B l : Target mixture ratio of the raw material group
The blending scheme designing method and apparatus according to the present invention can design the blending scheme so that the sum of the blending unit prices per day is minimized. In addition, it is possible to design a blending scheme that satisfies the target coke quality with the current yard coking stock quantity and the inventory quantity to be received in the future, and it is possible to establish a long blending scheme. Therefore, it is possible to prevent the quality deterioration due to lack of inventory of the coking coal and to stabilize the operation, and it is possible to prevent the problems such as the sudden purchase of the specific coking coal to normalize the quality of the coke, You can block. In addition, it is possible to predict the inventory status of the coking coal from the initial inventory, arrival, and blending plan results during the blending planning period, so that it can be used as data for determining the future direction of purchase.
According to the present invention, a blend scheme is designed to limit the use of coking coal, which has been started to be used in blending, continuously until the stock is exhausted. Therefore, if the amount of the raw coal is changed to other cokes before the stock is exhausted, the remaining amount of the cokes is used to occupy the reserved space of the yard, thereby obstructing the stacking of new cokes newly received, The occurrence of the problem can be minimized. In addition, it is possible to minimize the problem of component change due to the volatilization of coking coal, and the problem of deterioration of quality due to increased moisture content in rainy weather.
1 is a flow chart showing a general coke production method in order;
Fig. 2 is a table showing an example of the arrival plan of a plurality of cyanide fires per plan day
Fig. 3 is a table showing an example of the compounding ratio and compounding unit price of a plurality of cyanogen compounds per plan day
4 is a block diagram schematically showing a mixing scheme designing apparatus according to an embodiment of the present invention.
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but is capable of other various forms of implementation, and that these embodiments are provided so that this disclosure will be thorough and complete, It is provided to let you know completely.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a flowchart showing a general coke making method in order.
As shown in Fig. 1, a general coke manufacturing method includes a step S10 of charging a plurality of raw coke as a raw material for coke, a step S20 of raking each coke, a step S30 of crushing each of the plurality of raw coke, (S40) of charging a plurality of coke ovens of the coke oven (S50), charging the blend containing the plurality of coke ovens into the coke oven (S50), charging the blended coke in the coke oven for a predetermined time (S60) Or a dry process to produce a coke (S70), and a process (S80) to store the produced coke.
Here, the plurality of coking coal means each coking coal having different composition and composition, that is, not the same.
The present invention relates to a method and a method for designing a mixing plan for planning a mixing condition for each of a plurality of coking coal during a mixing schedule period, ≪ / RTI > At this time, in the present invention, a plurality of cokes are mixed so that the sum of the compounding unit prices per plan days for the plurality of cokes is minimized. In other words, the unit price of each of the plurality of coking coal is applied, the mixing ratio of each coking coal is varied, the mixing unit price per plan day is calculated according to the unit price and the mixing ratio, And the blending ratio of each of the raw materials is designed. At this time, the blending ratio of each coking coal satisfying a plurality of constraint conditions to be described later and having a minimum sum of mixing costs per planning day is designed.
Fig. 2 is a table showing an example of an arrival plan of a plurality of cyanide fires per plan day. Fig. 3 is a table showing an example of mixing ratios and compounding ratios of a plurality of cyanogen blends per plan day.
Coking coal, which is a raw material for coke, is divided into high carbon, heavy oil, low carbon, low carbon and low carbon, depending on the characteristics such as carbonization degree and fluidity. Here, the coking coal having the best grade of carbonization and fluidity, the best grade coking coal is the earthenware, and the coking coal having the worst grade and the poor degree of carbonization and fluidity is not good. And it has dignity between the uniquely Dongtan and the unstable shot, and the order from the order of good order to the bad order is middle eastern coal, low korean coal, low quality coal,
If each of the plurality of cullerenes is grouped according to the degree of carbonization and the degree of fluidity, it can be expressed as shown in FIG. 2 and FIG. For example, when there are 60 types of coking coal, and when they are separated into carbonization degree and fluidity degree, the first coking coal, the second coking coal, the third coking coal and the like are classified as earthenware, and the 14th coking coal and the 15th coking coal are classified as middle eastern carbon 26th coking coal, 27th coking coal, and the like are classified as low-perm easting coal, 38th coking coal, 39th coking coal and the like are classified as low-grade coal, and 45th coking coal to 50th coking coal and the like are classified as nonpointing coking coal.
Hereinafter, the method and the apparatus for designing a mixing schedule according to the present invention will be described in detail.
FIG. 4 is a block diagram of a mixing scheme designing apparatus according to an embodiment of the present invention. Referring to FIG.
As described above, in the present invention, in blending a plurality of coke ovens (S40), the blending ratios of the plurality of coke ovens are designed and blended such that the sum of blending unit prices per plan day for the plurality of coke ovens is minimized. At this time, the formulation plan is designed so that the sum of the mixing unit prices per plan day is minimized while satisfying a plurality of constraint conditions.
The plurality of constraint conditions include a constraint condition for predicting the quality characteristics of the coke to be produced and for ensuring that the predicted coke quality characteristic satisfies predetermined quality characteristic criteria and a constraint for making the final inventory amount of each coke today satisfy the preset inventory criterion A condition for minimizing the difference between the blending ratio of the previous day and the blending ratio of the present day for each coking coal and a condition for limiting the sum of the inventory amounts of the plurality of coking coal contained in the coking coal group to the target coking coal ratio The stock limit condition of the coking coal group in which the inventory amount of the coking coal is kept to be maintained and the coking coal that has participated in the combination at least once in the planning period are continuously used until the stock is exhausted, . In addition, there are a constraint condition that the sum of the blending ratios of the respective raw materials used in the blending is 100%, a constraint condition that the blending ratio of the respective raw materials is equal to or less than a maximum value of the reference blending ratio of each raw material, And includes a constraint condition that satisfies the predetermined seed number criterion.
The method of designing the blending scheme according to the present invention is composed of an objective equation and a constraint equation in the form of equations or inequalities for the operating variables during the blending planning period. The mathematical programming model (Mixed Integer Programming Model) is used. The mixed integer planning model is a mathematical programming model in which the decision variables to be searched are a mixture of real numbers and integers. Generally, it is composed of a complex arithmetic system. After the mixed integer planning model is constructed, it can be calculated Use the program you have.
As shown in FIG. 4, the apparatus for designing the mixing ratio of a plurality of coking coal according to the embodiment of the present invention is characterized in that the composition, quality and cost of each of the plurality of coking coal, the present stock amount for each of the plurality of coking coal, , A data storage unit (100) storing data of each of a plurality of raw materials, an arrival schedule and an arrival amount for each of the plurality of raw materials, and a mixing ratio of the previous days for each of the plurality of raw materials, The unit price of each of the plurality of coking coal is applied and the mixing ratio of each coking coal is varied so as to calculate the mixing unit cost per plan day according to the unit price and the mixing ratio, A calculation unit for designing a blending scheme for adjusting the blending ratio and blending ratio of each of the plurality of raw cyanogen blend so that the sum of blending unit prices added is minimized, An output unit (200) for displaying the mixing ratio of each coking coal according to the mixing schedule calculated by the calculation unit (200), the quality characteristics for each characteristic of the predicted coke, and the stock prediction amount of each coking coal, .
The
The
In the
[Equation 1]
The description of
In designing the blending scheme, there is a constraint condition that predicts the quality characteristics of the coke to be produced from the information such as the kind of the coke to be blended and the blending ratio, so that the predicted coke quality characteristic satisfies the predetermined quality characteristic standard. In this case, the quality characteristics of the coke are as follows: cold strength (DI: Drum Index), CSR (Coke Strength after CO2 Reaction), ASH (ash) (LMF), Total Dilatation (TD), Strength Index (SI), Composition Balance Index (CBI) , Mean Reflectance of Vitrinite of Coal Texture (RM) and Total Sulfur (TS). The target reference value or reference range for each quality characteristic is shown in Table 1.
(DI)
(CSR)
(ASH)
(VM)
Flow rate
(LMF)
Amount of swelling
(TD)
(SI)
Equilibrium index
(CBI)
reflectivity
(RM)
(TS)
(± 2.0)
(± 0.3)
(± 25)
(± 0.3)
(± 0.3)
(± 0.1)
Here, the predicted grade of each of cold strength (DI), post-reaction strength (CSR), and amount of ash (ASH) can be derived from a linear regression analysis formula estimated from the composition, composition and blending amount of the coke to be compounded.
For example, the linear regression analysis equation for deriving the cold strength (DI) can be derived using
Equation 1) Cold Strength (DI) = 0.560 (SI) - 0.404 (CBI) + 84.458
Formula 2 CSR = -4.433 (LMF) + 7.808 (SI) - 2.849 (CBI) + 47.420
The linear regression equations such as the above-described
Of course, the formula for deriving the cold strength and the post-reaction strength is not limited to the above-mentioned
The linear regression analysis equation for deriving the ash amount ASH can also be derived through the test as described above.
The predicted grade such as volatilization amount, flow rate, total expansion amount, etc. can be derived by the calculation of the sum of the composition, composition and blending amount of the coking coal of the coking coal.
The constraint for constraining each quality characteristic as shown in Table 1 is expressed by Equation 2 below.
&Quot; (2) "
Where k is any one of a plurality of quality characteristics, k is any one of 1, 2, 3 to 10 (k = 1, 2, 3 ... 10 1), 1, 2, 3 to 10 each means any quality characteristic. In other words, k means a first quality characteristic, a second quality characteristic, a third quality characteristic to a tenth quality characteristic. The first quality characteristic (k = 1) is the cold strength (DI), the second quality characteristic (k = 2) is the post-reaction intensity (CSR), the third quality characteristic (k = The fourth quality characteristic (k = 4) is the volatilization amount VM, the fifth quality characteristic (k = 5) is the maximum flowability LMF, the sixth quality characteristic (k = The seventh quality characteristic (k = 7) is the intensity index (SI), the eighth quality characteristic (k = 8) is the tissue equilibrium index (CBI) 10 The quality characteristic (k = 10) may be the total sulfur content (TS).
X ij is the compounding ratio of the i-cyanide in the j-plan day, X is the mixing ratio, i is the specific coking coal, and j is the specific blending date. More specifically, j is any one of formulation planning days for designing a formulation plan, which is either the first plan day of the plan period, the second plan day, the third plan day, or the last plan day of the plan period. For example, let j be 1, 2, 3 ... , J represents the first planning day of the planning period when j is 1, the second planning day of the planning period when j is 2, and the third planning day of the planning period when j is 3. i defines one of the 60 kinds of coking coal, for example, and is any one of the first coking coal to the 60th coking coal. For example, let i be 2, 3 ... , The first coking coal in the planning period when i is 1, the second coking coal in the planning period when i is 2, and the third coking coal in the planning period when i is 3.
QLB k is the lower limit value (QLB) of the reference value of the k-quality characteristic (see Table 1), and QUB k is the upper limit value (QUB) of the reference quality characteristic value of the k-th quality characteristic. Thus, in the constraint of Equation (2), the quality characteristic (F k (X ij )) of the coke is restricted to be equal to or less than the lower limit value QLB k and the upper limit value QUB k .
As described above, in the present invention, the mixed integer planning model for designing the formulation plan is designed such that the sum of the compounding cost per plan day is minimized, and a linear planning model represented by the following equation (3) And then the mixed integer plan model is constructed.
&Quot; (3) "
&Quot; (4) "
&Quot; (5) "
Ai in Equation (3) means the unit price (a) of the i-coking coal, and the unit price of the entire plan day is minimized by Equation (3). That is, when combining the plurality of culleres having different unit prices (unit price per ton) by the blending ratio, the unit price and the blending ratio of the respective cullerenes can be used to calculate the compounding unit price of the blended cullet containing a plurality of culleries, (J) the sum of the combined unit prices of the total planned days plus the combined unit prices for each planned day shall be the minimum. At this time, since the unit price of each coking coal is fixed, whether or not each of the plurality of coking coals is blended and the blending ratio is changed, and the unit price of each coking coal is applied thereto, the blending unit price corresponding to the blending of the plurality of coking coal is calculated. Then, a plurality of blending design types are determined according to the blending ratio and the blending ratio of each of the plurality of raw materials for a plurality of planning days, and a blending design type in which the sum of blending unit prices of all the blending days is the minimum It is designed by the blending scheme of the planning period.
At this time, the constraint condition (Equation (4)) that the total sum of the quality characteristic constraint condition according to the above-described Equation (2) and the mixture ratio per plan day should be 100% as the constraint condition and the specific mixture ratio of the specific coking coal are excessively large, , The composition ratio of each coking coal constitutes a constraint condition (Equation (5)) that is equal to or less than the upper limit value of the reference compounding ratio. In Equation (5), UBX i is the upper limit of the mixing ratio of the i-coking coal.
The purpose of the blending scheme of the coking coal is to design the blend so that there is no problem in manufacturing the coke of the target quality within the blending planning period designated by the operator. In order to achieve this, the initial inventory status of each coking coal, the supply of the coking coal, and the amount of coking coal to be used for each planned date are determined. Based on the calculated amount of coking coal, If stock is exhausted, design constraints related to inventory should be designed so that the formulation change is automatically made to replaceable coking coal that can be used.
That is, a constraint is required that the inventory state for each coke in each planning day should not be negative (-) over the entire planning period.
&Quot; (6) "
Here, I ij is the stock of the j-th planning work that is, today, (j) of the i-coking coal, I ij - 1 is a stock of day the day before (j-1) of an j-th program of the i-coking coal (today) (I) to be. And C is the amount of total coking coal used per plan day, C · X ij Is the usage amount of the jth plan day of the ith coking coal, that is, the present day (j).
According to the equation (6), the stock amount (P ij ) of the present day (j th planned date) is added to the stock amount (I ij -1 ) of the day before the present day of the i- ) of the raw carbon amount (CX ij) for subtracting one for today (j-th plan yl) final inventory (I ij) is equal to 0 or a positive (+) across the planning period (that is, negative (-) to avoid a) the pharmaceutical do. From Equation (6), it is forced to change the blend ratio of the coking coal at that time when the inventory of the specific coking coal is exhausted. In addition, the total composition ratio of the day is changed by the constraint of the above-mentioned equation (4) that the sum of the mixture ratios per planned day should be 100%. Therefore, Equation (6) is added to Equation (3).
When mixing a plurality of coke at a coke plant, the number of used hoppers is usually 20 or less, and one coke may be stored in one hopper, or a heavy coke may be stored in two hoppers . In each hopper, the raw coke is discharged according to the specified mixing ratio, and the discharged coke is mixed and transferred to the coke oven. On the other hand, when the number of cullet to be mixed, that is, the number of seeds to be added, is low, the operator's convenience of operation is reduced. Therefore, the cullet is generally limited to 8 to 14 seeds. Therefore, in designing the combination of coking coal for each planned date, it is necessary to limit the number of coking coal to be compounded, that is, the number of seeds, and the constraint is expressed by Equation (7) below.
&Quot; (7) "
In Equation (7), G ij is a binary integer variable, and G ij has a value of 1 when it is used for compounding, and G ij has a value of 0 when it is not used for compounding. Also, M is a constant called Big-M, commonly used in mathematical programming, which means a fairly large number that is not normally scoped. And, LBG is the minimum value of the number of coke to be used in the compounding, and UBG is the maximum value of the number of coke to be used in the compounding.
the mixing ratio X ij of the i-th planned date of the i-th raw coal should be 100% or less, so that M is preferably a constant of 100 or more in the equation (7).
For example, when i-coking coal is used for the j-th planning date, G ij is 1, and the blending ratio of i-coking coal is not less than the minimum blending ratio (LBX i ) in the reference blending ratio of i-coking coal. Since G ij is 1 for each of a plurality of cyanide coke when a plurality of cyanogen dyes are used, adding a plurality of "1" s to the number of seeds to be used in combination and limiting the number of seeds to LBG or more and UBG or less Equation (7) is expressed. Each of the LBG and UBG may be variously changed according to the number of the hoppers, etc. For example, LBG may be 8 and UBG may be 14. The linear programming model of Equation (3), which adds Equation (7) to the binary integer type variable G ij used to construct the constraint of Equation (7), is changed to a mixed integer programming model.
For a coke oven, if there is a large deviation between blending ratios according to the planned dates, the quality characteristics of the coke are not constant, inconveniencing the operation, and cause additional costs. Therefore, even if there are enough coking coals loaded in the yard during the mixing period, it is necessary to limit the variation in the mixing ratio of the coking coals per day. That is, it is constrained that the difference in the blending ratio between the previous day and the present day of one coke is minimized.
&Quot; (8) "
Where X ij -1 is the blending ratio of the day before day i of the i-th planned day of the i-th raw coal, and X ij is the blending ratio of the j-th planned day of the i-th coal. And d + ij , d - ij Each is a slack or dummy value used in goal programming. It is a real number with a positive numerical value greater than or equal to 0, and is a variable indicating the difference between the blending ratio of the day before and the day of the coking coal. This expression (8) means that the difference between the blending ratio of the day of the i-th coal and the previous day is restricted to be close to zero or minimized. If the constraint of Equation (8) is added to Equation (3), the Equation (3) becomes the objective expression of Equation (9).
&Quot; (9) "
In the objective expression of Equation (9), W 1 represents a weight, and the higher the value, the stronger the forcing to minimize the difference in the blending ratio between the previous day and the present day. However, W 1 is If the value is set to an excessively high value, the influences on the objective formula become large, and unlike the original purpose of designing with the minimum mixing unit price, although the possibility of unit price drop is opened, the blend design You should be careful because it is possible. Conversely, if the weight W 1 is set to an excessively small value, the forcing to maintain the existing compounding ratio becomes small, which increases the possibility of causing a frequent change of the compounding ratio, thereby making the operation unstable. It is therefore necessary to set it to a suitable value for the weight W 1 , which can be obtained from the operator through a plurality of tests.
On the other hand, even if a suitable value for W 1 is found, there is a risk that the compounding ratio can not be completely controlled only by Equations (8) and (9). Therefore, it is necessary to add Equation (8) and Equation (9) so as to further increase the selection range of W 1 by adding a certain constraint to the constraint condition added to the actual operation.
If the remaining amount of the above-mentioned coking coal is changed due to the change of the composition of the coking coal to the other coking coal before the inventory is exhausted, it may cause a risk of interfering with the stacking of the coking coal newly occupied by occupying the reserved space of the yard, . In addition, since the coking coal contains volatile matter, when the remaining amount is in the yard, the composition of the coking coal may change, and the water content may increase during rainy weather, thereby deteriorating the quality. Therefore, it is preferable to continuously use the raw coke to be used in the mixing until the stock is exhausted. By constructing it with a constraint formula (Equation 10), it is possible to describe the actual operating situation and to obtain
Equation (10) is a constraint constraint that is used to continuously use the raw coke to be used in the formulation until the stock is exhausted.
&Quot; (10) "
Here, Eij , E2ij , E3ij Is a binary integer of 0 or 1.
(I-1) i coking coal is used (G ij -1 = 1) and the stock quantity (i ij -1 + P ij ) of the i-coking coal that can be used today is i If it is larger than the minimum use amount (C · LBX ij ) for each day of the coking coal, it means to use the above coking coal for the mixing of the present day. To express these conditions as mathematical expressions, binary integer variables E 1ij , E 2ij , and E 3ij are applied.
For example, when the previous day i coking coal is used (G ij -1 = 1), the inventory amount (i ij -1 + P ij ) of the i-th coal that can be used today is larger than the minimum use amount (C · LBX ij ) (I ij -1 + P ij -C · LBX ij > 0), E 1ij = 1E 2ij = 1E 3ij = 0, and G ij becomes 1, so that the i- do. As another example, if the previous day (j-1) i coking coal is used (G ij -1 = 1) but the present day i stocks of the coking coal are not exhausted, According to
Thus, Equation (10) can limit the coking coal used for compounding to be continuously used for compounding as long as the stock remains in the yard.
If each of the plural cullet is grouped according to the degree of carbonization and the degree of fluidity, it can be classified into a plurality of cullet groups such as O group, T group, V group, Y group and Z group as shown in FIG. 2 and FIG. Here, the O group includes the first coking coal, the second coking coal and the third coking coal, and the T group includes the heavy oil coking coal, the 14th coking coal and the 15th coking coal, And the group Y includes low-grade coking coal including the 38th coking coal and the 39th coking coal, and the Z group includes the 45th coking coal to the 50th coking coal as the low-boiling coking coal, .
On the other hand, when coking coal is classified into O group, T group, V group, Y group, and Z group according to the characteristics, the operator determines the blending ratio for each group in consideration of the characteristics and unit price of each coking coal at the beginning of the year, To purchase and import the coking coal contained in the group. That is, when purchasing a plurality of coking coal, when the purchase amount of the plurality of coking coal groups is 100, the purchasing ratio of each coking coal group is determined, which is determined according to the characteristics and the unit price of each coking coal. Since the coking coal is purchased and supplied with the purchase ratio of each coking coal group, the purchase ratio of each coking coal group becomes the ratio of the amount of coking coal of each coking coal group. In the present invention, in designing the blend ratio of each coking coal during the blending design period, the blending ratio of each coking coal for each group is designed to be maintained as a ratio of the coking coal amount of the corresponding group. In other words, for each group, the sum of the blend ratios of the designed coking coal should be the ratio of the coking coal amount of the coking coal group to the maximum. Thus, the ratio of the amount of the raw material coal in each group can otherwise mean the target compounding ratio of each group.
For example, when the target compounding ratio of the V group is determined to be 20%, the sum of the target compounding ratios designed for each of the plurality of cullerenes contained in the V group is maintained at 20%.
Thus, the constraint on the target compounding ratio per group is to limit the sum of the ratios of the cokes belonging to the group as closely as possible to the target compounding ratio for each group classified by the characteristics of the coke when designing the compounding ratio for each plan day. This constraint can be expressed by the following equation (11). According to Equation (11), it is possible to limit the target compounding ratio for each group to the maximum, which also acts as a constraint to be reflected in the purchase direction of each coking coal.
&Quot; (11) "
Here, "i? L " means the i-cul tile of the l coal tar group, l is the group of coking coal, for example, l is any one of O, T, V, Y and Z , Z). The O group may be a high-purity coke, the T group may be a heavy oil coke, the V group may be a low flow coke, the Y group may be a low grade coke, and the Z group may be a low grade coke. Therefore, when l is 0, it means the i-coke contained in the O group. B l is the target compounding ratio of the l coal group.
S + 1j , S - 1j Each is a slack or dummy value used in goal programming, which is a real number with a positive numerical value greater than or equal to 0, and is a variable indicating the difference between the total compounding ratio of the group and the target compounding ratio.
If the constraint of Equation (11) is added to Equation (9), the Equation (9) becomes the objective equation of Equation (1).
In the objective expression of Equation (1), W 2 represents a weight as W 1, and the higher the value, the stronger the forcing to minimize the difference in the blending ratio between the previous day and the present day. As the value increases, the compounding ratio of each group represented by the sum of the grouping amounts per the planned days is limited to the target grouping ratio.
Hereinafter, with reference to FIGS. 1 to 4, a method of manufacturing a coke by mixing a plurality of coke blends according to a blending scheme designed through a blending scheme designing method according to an embodiment of the present invention will be briefly described.
First, the blending ratio for each group is determined in advance or at the beginning of the year in consideration of the characteristics and unit price of each coking coal. After that, according to the determined blending ratio for each group, the coking coal contained in the group is purchased and received, so that the crayons are collected in the yard. At this time, the inventory amount of the coking coal for each group is maintained so that the target compounding ratio for each group determined during the year is maintained or the deviation is minimized. Then, each coked coal is crushed to have a particle size of not more than a certain size.
And during the blending period, the crushed coke is blended according to the blending scheme designed by the method according to the present invention. To this end, the
In the
The blending ratio of each coking coal is determined for each planned date in the designed blending scheme, and each coking coal is blended with the determined blending ratio, and the designed blending scheme is designed so that the sum of the blending rates per day is minimized.
Therefore, each coking coal is blended according to the blending scheme designed in the blending scheme designing apparatus, and the blending coal is charged into the coke oven to be carbonized and then digested into coke. The produced coke is stored in a separate reservoir.
On the other hand, the
As described above, the blending scheme designing method and apparatus according to the present invention can design the blending scheme so that the sum of the blending unit prices per day is minimized. In addition, it is possible to design a blending scheme that satisfies the target coke quality with the current yard coking stock quantity and the inventory quantity to be received in the future, and it is possible to establish a long blending scheme. Therefore, it is possible to prevent the quality deterioration due to lack of inventory of the coking coal, to stabilize the operation and to prevent the problems such as the sudden purchase of the specific coking coal to normalize the quality of the coke, You can block. In addition, it is possible to predict the inventory status of the coking coal from the initial inventory, arrival, and blending plan results during the blending planning period, so that it can be used as data for determining the future direction of purchase.
And, according to the present invention, a blending scheme is designed so as to limit the continuous use of the raw cyanide that has started to be used in blending until the stock is exhausted. Therefore, if the amount of the raw coal is changed to other cokes before the stock is exhausted, the remaining amount of the cokes is used to occupy the reserved space of the yard, thereby obstructing the stacking of new cokes newly received, The occurrence of the problem can be minimized. In addition, it is possible to minimize the problem of component change due to the volatilization of coking coal, and the problem of deterioration of quality due to increased moisture content in rainy weather.
100: data storage unit 200: calculation unit
210: Constraint condition input unit 220:
300: output unit
Claims (14)
The data storage unit stores the composition, quality characteristics and unit price for each of the coke, the present stock amount for each of the plurality of coke bins, the arrival schedule for each of the plurality of coke bins, and the amount of stock, Storing the data of each of the (previous) day compounding ratios;
Wherein the unit price of each of the plurality of coke ovens stored in the data storage unit is applied while satisfying a plurality of constraint conditions by using the calculation unit and the mixing ratio of each coke is varied, And designing a blending scheme for adjusting the blending ratio and blending ratio of each of the plurality of raw materials so that the sum of blending unit prices per blending day is minimized,
Wherein the plurality of constraint conditions are stored in the calculation unit,
The plurality of constraint conditions may include:
A dignity constraint to predict the coke quality of the coke to be produced and to ensure that the predicted coke quality characteristics meet the predetermined durability criteria;
Today's inventory constraint to ensure that the final inventory of each coking coal today meets a predetermined inventory criterion;
A mixing ratio difference constraint for minimizing the difference between the blending ratio of the previous day and the blending ratio of the present day for each coking coal;
A plurality of coking coal groups are set so that a plurality of coking coal is contained in each of the plurality of coking coal, a target compounding ratio is set for each of the coking coal groups, and a design value of the mixing ratio for each coking coal contained in the coking coal group Grouping ratio constraint condition that the sum satisfies the target compounding ratio; And
For the raw coke that has begun participating in the formulation, the use and maintenance constraints of the coking coal to ensure that it remains in use until the stock is exhausted;
The number of seeds to be used in the formulation satisfies the prescribed seed number standard;
/ RTI >
Wherein the seedling number constraint condition includes Equation (7).
&Quot; (7) "
X ij : mixing ratio of the jth mixing schedule day of the ith coking coal
G ij : i When using a coking coal for the jth mixing schedule, Gij does not use 1 or i coking coal for the jth mixing schedule, Gij is 0
LBX i : the minimum mixing ratio
LBG: Minimum number of coking coal used in compounding
UBG: The upper limit of the number of coking coal used in the formulation
M: constant greater than or equal to 100
Wherein the plurality of constraint conditions stored in the calculation unit includes:
A total mixing ratio constraint condition in which the sum of the blending ratios of the respective raw materials used in the blending is 100%;
A total inventory constraint that inventory for each coking coal at each batch planning date should not be negative (-) over the entire planning period;
The upper limit of the mixing ratio is such that the compounding ratio of each coking coal is equal to or less than the maximum value of the reference compounding ratio of each coking coal;
The method comprising the steps of:
Wherein, in designing a blending scheme for a plurality of coking coal so as to minimize the sum of blending unit prices per blending schedule for the plurality of coking coal, the calculation unit calculates a target blending ratio A Method of Designing Mixed Plans Using Mixed Integer Plan Model Including Multiple Constraints.
[Equation 1]
a: unit price
a i : i Unit price of coking coal
i: any one of a plurality of cullet (i = any one of the first cullet, the second cullet, and the third cullet)
X: compounding ratio
X ij : mixing ratio of the jth mixing schedule day of the ith coking coal
j: one of the days of the blending plan during the planning period (j = one of the blending days, the second blending day, and the third blending day)
W 1 : Weight (constant)
W 2 : Weight (constant)
d + ij , d - ij , S + lj , S - lj : a positive real number greater than or equal to zero
The plurality of constraints
(2) which constrains the predicted coke quality characteristic of the coke to be produced to satisfy the predetermined quality characteristic criterion by predicting the quality characteristic of the coke to be produced,
(4) in which the sum of the blending ratios of the respective raw materials used in the blending is limited to 100%
(5) in which the mixing ratio of each coking coal is limited to be equal to or less than the maximum value of the reference mixture ratio of each coking coal,
(6) constraining stocks for each coking coal at each batch planning date from being negative (-) throughout the batch planning period.
&Quot; (2) "
(k = first quality characteristic, second quality characteristic, third quality characteristic ...) among the plurality of quality characteristics for the coke,
F k : Estimation of the predicted kth grade property
QLB k : lower limit of reference quality characteristic value of kth quality characteristic
QUB k : Upper limit of reference quality characteristic value of kth quality characteristic
&Quot; (4) "
&Quot; (5) "
UBX i : Upper limit of blending ratio of i coking coal
&Quot; (6) "
I: Inventory
I ij : Inventory quantity at the jth mixing schedule of the i coking coal
j-1: The day before the j-th planning day
I ij-1 : Inventory amount of the day before the jth mixing schedule day of the i raw material
P ij : Stock amount of the i th mixing schedule day of the i coking coal
C: Amount of total coking coal usage per day
C · X ij : the amount of i coking coal used for the jth mixing schedule day
The plurality of constraints may include:
(8) for limiting the difference between the blending ratio of the previous day and the blending ratio of the present day to minimize the difference between the blending ratio of the previous day and the blending ratio of the present day,
The method of designing a blending scheme as recited in claim 10, wherein for the raw coke that has begun participating in the blending, it is constrained to be continuously used until the stock is exhausted.
&Quot; (8) "
d + ij , d - ij : a positive real number value greater than or equal to 0
&Quot; (10) "
X ij : the blending ratio of the day before the j-th planned date of the ith coking coal
G ij : i When using a coking coal for the jth mixing schedule, Gij is 0 or i when no coking coal is used for the jth mixing schedule, Gij is 1
LBX i : Minimum blending ratio of i- th coals
C · LBXi: Mixing plan of i coking coal Minimum daily usage
M: constant greater than or equal to 100
E 1ij , E 2ij , E 3ij: 0 or 1
Wherein the plurality of constraints include Equation (11) that constrains the sum of the designed values of the mixing ratios for each coke contained in the coke groups to satisfy the target mixing ratio.
&Quot; (11) "
l: any one of the coking coal groups (l = O coking coal group, T coking coal group, V coking coal group ...)
i∈l: i coking coal of l coal group
S +; lj , S - lj : A float whose positive numeric value is greater than or equal to 0
B l : Target mixture ratio of the raw material group
The present invention is characterized in that the composition, quality characteristics and unit price of each of the plurality of coke bins, the current inventory amount of each of the plurality of coke bins, the arrival schedule and the quantity of each of the plurality of coke bins, ) ≪ SEP > data < SEP >
The mixing ratio of each of the plurality of coking coal is applied while varying the mixing ratio of each of the plurality of coking coal while satisfying a plurality of constraint conditions to calculate the mixing unit cost per mixing plan day according to the unit price and the mixing ratio, A calculation unit for designing a blending scheme for adjusting the blending ratio and mixing blending ratio of each of the plurality of raw cyan fines so that the sum is minimized;
An output unit for displaying the mixing ratio of each coking coal according to the mixing schedule calculated by the calculation unit, the quality characteristics for each characteristic of the predicted coke, and the stock prediction amount of each coking oven so that the operator can monitor the mixing ratio;
/ RTI >
The plurality of constraint conditions may include:
A dignity constraint to predict the coke quality of the coke to be produced and to ensure that the predicted coke quality characteristics meet the predetermined durability criteria;
Today's inventory constraint to ensure that the final inventory of each coking coal today meets a predetermined inventory criterion;
A mixing ratio difference constraint for minimizing the difference between the blending ratio of the previous day and the blending ratio of the present day for each coking coal;
A plurality of coking coal groups are set so that a plurality of coking coal is contained in each of the plurality of coking coal, a target compounding ratio is set for each of the coking coal groups, and a design value of the mixing ratio for each coking coal contained in the coking coal group Grouping ratio constraint condition that the sum satisfies the target compounding ratio;
For the raw coke that has begun participating in the formulation, the use and maintenance constraints of the coking coal to ensure that it remains in use until the stock is exhausted; And
The number of seeds to be used in the formulation satisfies the prescribed seed number standard;
/ RTI >
The number of seeding-number-of-addition constraint conditions includes Equation (7) Blending plan designing device.
&Quot; (7) "
X ij : mixing ratio of the jth mixing schedule day of the ith coking coal
G ij : i When using a coking coal for the jth mixing schedule, Gij does not use 1 or i coking coal for the jth mixing schedule, Gij is 0
LBX i : the minimum mixing ratio
LBG: Minimum number of coking coal used in compounding
UBG: The upper limit of the number of coking coal used in the formulation
M: constant greater than or equal to 100
The plurality of constraint conditions may include:
A total mixing ratio constraint condition in which the sum of the blending ratios of the respective raw materials used in the blending is 100%;
A total inventory constraint that inventory for each coking coal at each batch planning date should not be negative (-) over the entire planning period;
The upper limit of the mixing ratio is such that the compounding ratio of each coking coal is equal to or less than the maximum value of the reference compounding ratio of each coking coal;
Wherein the apparatus further comprises:
In the case of designing a blending scheme for a plurality of coking coal so as to minimize the sum of the daily compounding unit prices for the plurality of coke omens, the following formula (1) and a plurality of constraint expressions Mixture plan planning system using mixed integer planning model.
[Equation 1]
a: unit price
a i : i Unit price of coking coal
i: any one of a plurality of cullet (i = any one of the first cullet, the second cullet, and the third cullet)
X: compounding ratio
X ij : mixing ratio of the jth mixing schedule day of the ith coking coal
j: one of the days of the blending plan during the planning period (j = one of the blending days, the second blending day, and the third blending day)
W 1 : Weight (constant)
W 2 : Weight (constant)
d + ij , d - ij , S + lj , S - lj : a positive real number greater than or equal to zero
The plurality of constraints
(2) which constrains the predicted coke quality characteristic of the coke to be produced to satisfy the predetermined quality characteristic criterion by predicting the quality characteristic of the coke to be produced,
(4) in which the sum of the blending ratios of the respective raw materials used in the blending is limited to 100%
(5) in which the mixing ratio of each coking coal is limited to be equal to or less than the maximum value of the reference mixture ratio of each coking coal,
(6) constraining the stock for each coking coal at each batch planning date from being negative (-) throughout the batch planning period.
&Quot; (2) "
(k = first quality characteristic, second quality characteristic, third quality characteristic ...) among the plurality of quality characteristics for the coke,
F k : Estimation of the predicted kth grade property
QLB k : lower limit of reference quality characteristic value of kth quality characteristic
QUB k : Upper limit of reference quality characteristic value of kth quality characteristic
&Quot; (4) "
&Quot; (5) "
UBX i : Upper limit of blending ratio of i coking coal
&Quot; (6) "
I: Inventory
I ij : i Inventory amount of the j th blending schedule of the coking coal \
j-1: The day before the j-th planning day
I ij-1 : Inventory amount of the day before the jth mixing schedule day of the i raw material
P ij : Stock amount of the i th mixing schedule day of the i coking coal
C: Total amount of coking coal used per day
C · X ij : the amount of i coking coal used for the jth mixing schedule day
Wherein the plurality of constraints include Equation (8) for limiting the difference between the blending ratio of the previous day and the blending ratio of the present day for each coking coal,
(10) for constraining the continued use and maintenance of the coking coal that has begun participating in the mixing process until the stock is exhausted.
&Quot; (8) "
d + ij , d - ij : a positive real number value greater than or equal to 0
&Quot; (10) "
X ij : the blending ratio of the day before the j-th planned date of the ith coking coal
G ij : i When using a coking coal for the jth mixing schedule, Gij is 0 or i when no coking coal is used for the jth mixing schedule, Gij is 1
LBXi: Minimum mixing ratio of i-coking coal
C · LBX i : Mixing plan of the i- th coal Minimum daily usage
M: constant greater than or equal to 100
E 1ij , E 2ij , E 3ij: 0 or 1
(11) for limiting the sum of the design values of the blend ratios for each coke contained in the coke group to satisfy the target blending ratio.
&Quot; (11) "
l: any one of the coke groups (l = O coke group, T coke group, V coke group ...)
i∈l: i coking coal of l coal group
S +; lj , S - lj : A float whose positive numeric value is greater than or equal to 0
B l : Target mixture ratio of the raw material group
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020150035948A KR101665070B1 (en) | 2015-03-16 | 2015-03-16 | Method and apparatus for blending plan making |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020150035948A KR101665070B1 (en) | 2015-03-16 | 2015-03-16 | Method and apparatus for blending plan making |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| KR20160111158A KR20160111158A (en) | 2016-09-26 |
| KR101665070B1 true KR101665070B1 (en) | 2016-10-12 |
Family
ID=57068404
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020150035948A KR101665070B1 (en) | 2015-03-16 | 2015-03-16 | Method and apparatus for blending plan making |
Country Status (1)
| Country | Link |
|---|---|
| KR (1) | KR101665070B1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110319455A (en) * | 2019-07-18 | 2019-10-11 | 国网山东省电力公司电力科学研究院 | A kind of boiler mixed coal blending |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428144B (en) * | 2019-07-09 | 2022-08-16 | 华能汕头海门发电有限责任公司 | Fire coal purchasing and power generation index prediction processing system and method suitable for power plant |
| CN112596455B (en) * | 2020-11-26 | 2021-11-26 | 华能国际电力股份有限公司南通电厂 | Remote intelligent material piling and taking control method for coal conveying of power plant |
| CN115161046B (en) * | 2022-06-27 | 2023-10-24 | 重庆钢铁股份有限公司 | Automatic tracking method for silo discharging |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2637608B2 (en) * | 1990-06-26 | 1997-08-06 | 新日本製鐵株式会社 | Coal blending planning control system |
| JP3385912B2 (en) * | 1997-05-27 | 2003-03-10 | 日本鋼管株式会社 | Coal blending plan optimization system |
| KR100454364B1 (en) | 1999-12-24 | 2004-10-26 | 주식회사 포스코 | A Blending Method of Coals for Making Coke |
| CN101918904B (en) * | 2008-01-18 | 2013-08-14 | 新日铁住金株式会社 | Composition plan making-out device, method, program and recording medium |
-
2015
- 2015-03-16 KR KR1020150035948A patent/KR101665070B1/en active IP Right Grant
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110319455A (en) * | 2019-07-18 | 2019-10-11 | 国网山东省电力公司电力科学研究院 | A kind of boiler mixed coal blending |
| CN110319455B (en) * | 2019-07-18 | 2020-10-16 | 国网山东省电力公司电力科学研究院 | Boiler coal blending method |
Also Published As
| Publication number | Publication date |
|---|---|
| KR20160111158A (en) | 2016-09-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101665070B1 (en) | Method and apparatus for blending plan making | |
| CN102559227B (en) | Method for coal blending coking through utilizing Gieseler fluidity index | |
| CN110724813B (en) | Online adjusting system and method for alkalinity of sinter | |
| KR101649672B1 (en) | Method for sample quality prediction and Method for forecasting CSR(Coke Strength Reaction) | |
| KR101705051B1 (en) | Method and apparatus for blending plan making | |
| KR100454364B1 (en) | A Blending Method of Coals for Making Coke | |
| KR101100537B1 (en) | Method for predicting of drum index of cokes | |
| KR20110108968A (en) | Method for predicting of drum index of cokes | |
| Todoschuk et al. | Development of coke strength after reaction (CSR) at Dofasco | |
| CN115392561A (en) | Coal blending method and system | |
| KR102299553B1 (en) | Prediction method for cold strength of coke | |
| CN115305774A (en) | Cold-throw type plant-mixed hot recycled asphalt concrete production method | |
| KR101466475B1 (en) | Method for ash predicting of cokes | |
| KR101100589B1 (en) | Method for predicting of coke strength after reaction | |
| RU2608524C1 (en) | Method of forming mixture for production of metallurgical coke with specified index of hot csr strength | |
| CN103756699A (en) | Blended coal for producing foundry coke and production method of foundry coke | |
| Ünsal | Investigation of factors affecting coke strength after reaction (CSR) and developing a statistical model for CSR prediction | |
| Ghosh et al. | Understanding the impact of coal blend properties on the coke strength | |
| KR101205026B1 (en) | Method for predicting of coke strength after reaction | |
| Lyalyuk et al. | Coke quality and optimization of batch composition | |
| KR101277955B1 (en) | Estimation method of caloric value of fine coal for blast furnace injecting | |
| KR20110022327A (en) | Method for predicting of cokes reactivity index | |
| de Cordova et al. | Review on modeling of coal blends for prediction of coke quality | |
| Lyalyuk et al. | IMPROVING THE TECHNOLOGY OF PREPARING COAL FOR THE PRODUCTION OF BLAST-FURNACE COKE UNDER THE CONDITIONS OF MULTI-BASIN RAW MATERIAL BASE. MESSAGE 1. OPTIMIZING THE COMPOSITION OF COAL BATCH BY MEANS OF PETROGRAPHIC CHARACTERISTICS. | |
| RU2788687C1 (en) | Method for preparing the filling mixture of a given consistency (options) |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A201 | Request for examination | ||
| E902 | Notification of reason for refusal | ||
| E701 | Decision to grant or registration of patent right | ||
| GRNT | Written decision to grant |