KR20220087300A - Apparatus for designning to produce slab of thick plate and computer-readable storage medium in which program programemd to operate apparatus for designning to produce slab of thick plate are stored - Google Patents

Abstract

The present invention determines the width of the slab to maximize the amount of order in the process of designing an intermediate product of charge and cast from the slab, which is a given order, and to minimize the number of casts, which are units that produce slabs at a time in the casting machine A heavy plate slab production design device and a computer readable storage medium storing a program programmed to operate the thick plate slab production design device is to be provided The computer-readable storage medium storing the program classifies the ordered slabs according to the pre-set heterogeneity relationship, and a data pre-processing unit that combines them into a plurality of slab groups according to the pre-set width candidates of the cast, pre-set formulas and constraints and , a cast frame generating unit generating a cast frame in which the plurality of slab groups are disposed according to a mixed integer programming method having a predetermined objective expression and additional constraint conditions, and the plurality of slabs by the cast frame generating unit It may include a slab arranging unit for arranging slabs in units of slabs in a cast frame manufactured based on groups.

Description

A computer-readable storage medium in which the heavy plate slab production design device and the program programmed to operate the heavy plate slab production design device are stored PRODUCE SLAB OF THICK PLATE ARE STORED}

The present invention relates to a heavy plate slab production design device for designing slab production of a steel product, and a computer readable storage medium in which a program programmed to operate the thick plate slab production design device is stored.

In general, the process of producing a steel plate product in the steel industry is largely composed of four steps: iron making, steel making, casting, and rolling. The ironmaking process is a step in which iron ore is melted together with coke in a blast furnace to produce “molten iron,” iron containing impurities. The steelmaking process is the process of transferring the molten iron from the ironmaking process to a converter and then making it into “molten steel” from which impurities have been removed. In this process, the fine composition of iron according to the order is also adjusted. Casting process is an abbreviation for continuous casting process, and it is a step in which refined molten steel is put into a mold inside a continuous casting machine, which is then pushed into a “slab”, an intermediate production unit. Lastly, rolling is a step in which a slab is placed between several rotating rolls to make it thin and to make a blade plate. The thick plate cut into small units becomes the final product.

The unit of molten steel boiled in one converter used during the steelmaking process is called a charge, and one charge of molten steel played in the subsequent process, Yeongi, is sent along two different paths from the caster. It is called a strand. At this time, in order to increase productivity, several charges are continuously played on the player, this continuous performance is called a performance performance, and the arrangement of several charges is called a cast. Charges in the cast are played in sequence. While one charge is being played, the other charge stands by in the tundish, the middle part between the caster and the charge, to control the speed of the molten steel. The tundish is replaced after going through one stage of playing, but production cannot be performed during the replacement, and the replacement cost is high, so the utility of the tundish is directly related to productivity. And, due to the lifespan of the tundish itself, the amount of charge that one tundish can handle is limited. Therefore, in order to reduce replacement, it is necessary to organize as many charges as possible in one cast.

In order to make a cast, which is a performance unit with charges, two conditions must be satisfied. First, the composition of iron in the steelmaking process is called a steel grade, and the charges must be made of the same steel grade. However, in one cast, charges having similar steel grade components may be mixed. At this time, the part where two charges of different steel grades are mixed is called a mixed cast slab, and the relationship between steel types that can be mixed because the size of this mixed cast slab is small is called a two-steel-type relationship (hereinafter referred to as a two-steel-type relationship). referred to). Second, the width of the charges and the slabs in the cast should be the same. The term width refers to the width of the strand as the molten steel descends from the caster along the mold to the strand. There is a range of possible widths for producing the slab according to the internal product order configuration for each slab. That is, in order to produce a slab, the width of the strand must be within the range of the production possible width of the slab. At this time, since the width of the strand cannot be changed while producing one cast, the width of the charge and the slab produced through the same strand in the cast is determined to be the same width. In addition, the width can be different for each strand, and assuming that the speed between the molten steel flowing into each strand is constant, the length can be calculated according to the strand width according to the slab configuration assigned to each strand, and the length of the slab between both strands for each cast The length difference should be within a certain range.

In addition to this, since the charge has minimum and maximum weight restrictions, the sum of the weights of the slabs in one charge must be in between. If the sum of the weights of the slabs to be produced is less than the minimum charge weight, there are cases where additional slabs without orders can be created and produced at the charge. Slabs without this order are called media slabs.

In summary, in order to make a cast, which is a unit of performance with charges, slabs of the same type of steel having a range of width are placed in a charge according to the weight and length conditions between strands, and a cast is made with these placed charges, but the slab- The strand width between the charge and the cast must be the same, and in the order of the charge in the cast, the steel grades between adjacent charges must satisfy the condition that the two-steel grade relationship is satisfied.

Accordingly, it is important to appropriately select the width of the slab in the material design (lot grouping) for organizing the charge and the cast in the slab.

Republic of Korea Patent Publication No. 10-0660226

According to an embodiment of the present invention, in the process of designing an intermediate product of charge and cast from the slab, which is a given order, to maximize the amount of order formation, and to minimize the number of casts, which are units that produce slabs at a time in the casting machine A computer-readable storage medium storing a program programmed to operate a heavy plate slab production design device and a heavy plate slab production design device for determining the width of the slab is provided.

In order to solve the above-described problem of the present invention, a computer-readable storage medium storing a program programmed to operate a heavy plate slab production design device and a heavy plate slab production design device according to an embodiment of the present invention is pre-ordered slabs A data pre-processing unit that classifies according to the established heterogeneous relationship and combines them into a plurality of slab groups according to the preset cast width candidates, a mixed integer programming method with preset formulas and constraints, and preset objective expressions and additional constraints A cast frame generating unit that generates a cast frame in which the plurality of slab groups are arranged according to the It may include a slab arrangement that is.

According to an embodiment of the present invention, there is an effect of knitting a cast and a charge having excellent productivity.

1 is a schematic configuration diagram of a heavy plate slab production design apparatus according to an embodiment of the present invention.
2 is a view showing the operating principle of the classification unit 111 in the heavy plate slab production design apparatus according to an embodiment of the present invention.
Figure 3 is a view showing the combination of a plurality of slabs into a slab group in the heavy plate slab production design apparatus according to an embodiment of the present invention.
Figure 4 is a table showing the conditions of the first to third data set to show the technical effect of the heavy plate slab production design apparatus according to an embodiment of the present invention.
5 is a diagram illustrating an exemplary computing environment in which a heavy plate slab production design apparatus according to an embodiment of the present invention can be implemented.

Hereinafter, preferred embodiments will be described in detail so that those of ordinary skill in the art can easily practice the present invention with reference to the accompanying drawings.

Determining the width of the thick plate slab is related to the problem of designing slabs with different width ranges and steel grades as charge and cast. First, the cast width candidates are given as input. In this case, the charge may have two strands and have different widths for each strand. In addition, when the width of the slab is determined, the length of the slab is calculated by Equation 1.

(Formula 1)

Slab Length = Slab Weight / (Slab Width * Slab Thickness * Slab Density)

In Equation 1, the thickness of the slab and the density of the slab have the same value for all slabs, and the weight of the slab is determined according to the internal order configuration for each slab. That is, when the width of the slab is determined, the length of the slab is automatically determined.

Therefore, when the width of the slab is determined and the slab is placed on both strands of the charge while satisfying the minimum and maximum weight ranges of the charge, the length difference between the two strands is determined, and the length difference cannot exceed a certain value. In addition, when forming a cast using a charge whose width is determined in this way, the steel type relationship between adjacent charges within the cast must be satisfied, the width of each strand of the charges must be the same, and the entire cast must also be constrained by the length difference between the strands. must be satisfied

Theoretically, the width of the slab can be created with any width within the range between the minimum and maximum possible widths of the slab. However, due to technical or administrative limitations of the player, in reality, the width can only be made with a few candidates. Therefore, in the actual performance process, candidates for width are given, and the width of the slab is determined by one of these given widths.

Charges and casts organized in this way are evaluated according to several conditions, and the items are as follows.

1. You must organize as many slabs as possible into casts. (hereinafter referred to as the amount of formation)

2. To increase the usability of the tundish, as many charges as possible must be put in one cast. That is, the number of organized casts should be minimized. (the number of casts below)

3. A cast composed of less than a certain number of charges is called a single cast, and in order to increase the workability of the tundish, the number of these casts should be minimized. (hereinafter the number of performances by far)

4. In addition to slabs for making custom orders, it is possible to make charges including media slabs that can have any width. However, since the media slab is not a slab that contains actual spells, the organization should be minimized. (hereinafter referred to as the amount of filter media) In addition, the amount of media slabs in one charge cannot exceed the given media ratio.

Defining the problem of determining the width of the thick plate slab in the environment described above is as follows.

Input: common slab information (common slab thickness, common slab density, common slab minimum and maximum length), slab information (steel grade, weight, width range), different steel grade performance information, restrictions (charge minimum, maximum weight limit, charge maximum) possible length difference, maximum possible cast length difference), width candidates, maximum number of charges in cast, possible mediation ratio

Goal: Maximize the amount of formation, minimize the number of casts, minimize the number of performances, minimize the amount of media

Output: list of casts with a fixed width (charge and slab information are stored inside)

In order to solve the above-mentioned problem, in the present invention, Mixed Integer Programming (MIP), which is a mathematical model, is used.

In other words, it is one of the methods of modeling a decision-making problem using formulas, and it is to create a mathematical model by substituting a mathematical decision variable for a decision to be made. When a decision variable has continuous values such as weight and time, it is called a continuous variable, and when it has discrete values such as number and use, it is called an integer variable. Mixed integer programming refers to a mathematical model in which two types of decision variables are mixed.

The mixed integer programming method is largely composed of four types: parameter, decision variable, objective expression, and constraint expression. A parameter is specific information given to solve a mixed integer programming method, and examples in this problem include the minimum weight of one charge. The decision variable is information obtained by solving the mixed integer programming method and corresponds to the output. In the case of an objective expression, it is a goal to be achieved by using the mixed integer programming method. In the case of the objective expression, maximization and minimization are possible. In the case of the objective expression in the present invention, the target to be maximized and the target to be minimized are reflected using a linear combination. Lastly, in the case of the constraint, the conditions that must be satisfied by the created solution include the range of the amount of charge and the difference in length between the strands.

The advantages of the above-described mathematical model are that it is easy to implement and it is convenient to consider several objective expressions at the same time. In order to overcome this disadvantage, the present invention decided to make a new type of solution.

As described above, it is a characteristic of mixed integer programming that some of the decision variables are integers, and in the above disadvantage, the larger the number of decision variables that are integers among the number of inputs, the slower the resolution speed becomes. For example, in this problem, if the slab i represents the information placed on the cast n-charged m strand s as a binary integer variable x _inms , which is an integer variable that can only have values 0 and 1, the number of this integer variable is the number of slabs. x the number of charges x the number of casts x 2 (the number of strands). Also, it is known that the problem solving time increases exponentially with the total number of integer variables. In other words, it takes a lot of time to solve the problem.

In the present invention, in order to solve the problem of the integer variable described above, and also for the problem of determining the width of the charge and the cast, the problem of determining the width of the charge and the cast by looking at the shape of the distributed width range of the slab, and the actual charge and the cast I separated the whole problem into two parts of the problem of placing the slabs. In addition, the mixed integer programming method was used as a method of combining slabs in a unit called slab group and clustering steel types that can be played with different types of steel.

A heavy plate slab production design apparatus according to an embodiment of the present invention is as follows.

1 is a schematic configuration diagram of a heavy plate slab production design apparatus according to an embodiment of the present invention.

Referring to FIG. 1 , the apparatus 100 for designing thick plate slabs according to an embodiment of the present invention may include a preprocessing unit 110 , a cast frame generating unit 120 , and a slab arranging unit 130 .

The pre-processing unit 110 may include a classifying unit 111 and a coupling unit 112 . That is, the classification unit 111 classifies the slabs having the actual width range in the input slab orders using the heterogeneous relationship, and the coupling unit 112 can cluster the slabs having the same width range and the same steel type into a slab group. have.

2 is a view showing the operating principle of the classification unit 111 in the heavy plate slab production design apparatus according to an embodiment of the present invention.

1 together with FIG. 2 , the classification unit 111 classifies the slabs using the two-steel type relationship, and targets the slabs exceeding (minimum charge weight) × (1-possible filter media ratio) by weight. By analyzing the relationship between them, it is possible to separate the slabs of steel types that cannot be cast in the same cast as any other steel type. Through this process, the slabs are divided into connected components in the relationship diagram.

Figure 3 is a view showing the combination of a plurality of slabs into a slab group in the heavy plate slab production design apparatus according to an embodiment of the present invention.

Referring to FIG. 3 together with FIG. 1 , the coupling part 112 may combine the slabs separated by the connection components into a slab group.

For example, given that the width candidates for a given cast are 1600mm, 1900mm, 2200mm, for one steel grade a slab that can only be 1600mm wide, a slab that can only be 1600mm to 1900mm, a slab that can be in the full width range of 1600mm to 2200mm, 1900mm It is divided into 5 different sets, such as slabs capable of only 2200mm and slabs that are only capable of 2200mm. The sum of the weights of the slabs of each set is called the slab group. If the slabs are combined into a slab group, the number of objects to be organized in the charge is reduced from the number of slabs to within the square of the number of steel types and the number of widths, simplifying the problem.

The generated Slavic group can be divided continuously.

That is, not all one slab is located in a specific cast, but only some weight of the slab is located in one cast. Under this assumption, the integer variable is turned into a continuous variable, which can speed up problem solving.

Again, referring to FIG. 1 , the cast frame generating unit 120 may create a cast frame that is a frame of charge and cast in which a width for arranging an actual slab is determined by arranging a group of virtual slabs. Although the cast frame is created for continuously made slabs, not actual slabs, it is made based on the core characteristics of actual slabs, and most of the constraints that the cast must satisfy (maximum charge in cast, cast strand) All but the difference in length) can be satisfied, and the actual slab arrangement process can be facilitated in the slab arrangement unit 130 in the future.

The following is a mathematical model representing this step.

Indices set

K: set of exponents of given widths

W={(k ₁ ,k ₂ )|k ₁ ∈K, k ₂ ∈K, k ₁ ≤ k ₂ }: Exponential set of width combinations

However, in the case of i∈W used in the slab group, it is used to mean that the width range includes k ₁ to k ₂ , and in the case of w∈W, it indicates that the widths of both strands of charge and cast are k ₁ and k ₂ , respectively.

T: set of steel grade indices

A ={(t,t’)｜t∈T,t’∈T }: set of exponentials of steel grade combinations

F(t)={t’∈T}

(t,t’ is the type of steel that can be played by Lee Kang-jong)

Parameters

L _w : width combination wfh maximum number of charges that can be made, w∈W

Q _it : Steel type t, width combination i Total weight of the slab group i∈W,t∈T

l _k : Length of slab per 1Kg (mm) k∈K when width is determined by k

C _mim ,C _max : Minimum charge weight, Maximum charge weight

)M _t : the total number of charges that can be made with the steel grade t, t∈T (

)

C' _mim : Minimum net weight of charge (minimum charge weight without filter media)

E _max : difference between charge and cast maximum length

δ _ik : a slab of width combination i can be made with width k and is 1, otherwise 0 i∈W,k∈K

N: Criteria for the most-performed cast (if the number of charges in the cast ≤ N, the most played)

Decision Variables

x _ikt : weight i∈W,k∈K,t∈T made by the slab group of steel grade t and width combination i with width k

y _kwt : Amount w∈W,k∈K,t∈T that the slab group determined by the width k in the steel grade t is sent to the charge of the width combination w

e _kwt : Amount w∈W,k∈K,t∈T that the slab group of filter media determined by width k in steel grade t is charged with width combination w

T _wt : The number of charges made from the steel grade t width combination w ∈W, t∈T

T _w : The number of charges made by the width combination w ∈ W

I _w : 1 if width combination w is used, otherwise 0

β _wt : difference in length between both strands of steel grade t width combination w

ρ _wtl : 1 if width combination w, steel grade t occupy the lth position, 0 otherwise, t∈T,w∈W,l∈{1.2....L _w }

D _wl : 1, otherwise 0, w∈W,l∈{1.2....L _w }

g _wl : 1 if the cast made with the width combination w is most played at the lth position, otherwise 0, w∈W,l∈{1.2....L _w }

G _w : 1 if the last cast of width combination w is dominant, 0 otherwise, w∈W

π _kwtl : amount of slabs sent to the lth charge of a frame made of steel grade t, width k to width combination w. t∈T, k∈K, w∈W,l∈{1...L _w }

λ _kwtl : Filtration amount sent to the lth charge of a mold made of steel grade t, width k to width combination w. t∈T, k∈K, w∈W,l∈{1...L _w }

dif _wl : the length of the first strand at the lth position of the width combination w - the length of the second strand. w∈W,l∈{1...L _w }

α _wl : the absolute value of the difference in length between the strands at the lth position of the width combination w. w∈W,l∈{1...L _w }

purpose

Maximize

The above-described objective expression represents the objective expression of the mixed integer programming method for the cast frame generator 120, and values from P ₁ to P ₄ indicate the weight of each objective expression. The first expression next to P ₁ indicates the amount of formation, the expression next to P ₂ indicates the number of casts, the expression next to P ₃ indicates the number of performances, and the expression next to P ₄ indicates the amount of media.

In the case of the above-mentioned objective formula, since it is set as having a better solution as it is larger, the coefficient of the objective formula has a positive value for the amount of formation and has a negative value for the number of casts, the number of performances, and the amount of mediation on the contrary. .

The constraints on the objective expression are as follows.

The cast frame that is the solution generated by the cast frame generator 120 includes the number of casts in the width combination w, the number of charges in the casts, and steel grade. The width of both strands of the charge is determined by the width combination w. In the case of the generated cast frame, all other constraints are satisfied except for the maximum number of charges in the cast and the cast length constraint.

Since the frame generated by the cast frame generating unit 120 is generated based on the slab group, it is necessary to additionally fill the already generated casts and charges in units of slabs.

Again, referring to FIG. 1 , the slab arranging unit 130 may place the actual slab inside the cast and charge frame made of the slab group. In other words, a given slab can be placed on a strand inside each charge in a state where the cast, the width and the steel grade of the charges are determined. At the end of this step, the width of each of the slabs is determined, and the cast, charge, and strand internal location of the slab is determined.

The slab arrangement unit 130 may include a cast cutout unit 131 and a slab arrangement operation unit 132 .

The cast cutting unit 131 may adjust the number of charges in the cast frame generated as a result of the cast frame generating unit 120 . The cast frame generated as a result of the cast frame generator 120 may not satisfy the limit on the maximum number of charges that one cast can contain. Accordingly, the cast cutting unit 131 serves to divide the cast that violates the number of charges so as not to be performed by far. For example, if it is assumed that the maximum number of charges in the cast is limited to 9 and the standard of performance is 3, at this time, if a frame with 10 charges in the cast is generated by the solution of the cast frame generating unit 120, the cast cutting unit ( 131) can be divided into 4 and 6 cast frames. By the above-described operation, a charge and cast frame that satisfies all conditions except for the cast length constraint is generated.

The slab arrangement calculation unit 132 may define and solve the slab arrangement mixed integer programming method to allocate the slab to the inside of the above-described cast frame.

The slab arrangement mixed integer programming method of the slab arrangement operation unit 132 is as follows.

exponent set

K: set of exponents of width

I: Slavic set of exponents

S={0,1}: set of exponents of the strand

M: set of exponents of charge

N: set of exponents of the cast

)T _n : Charge indices inside cast n∈N (

)

parameter

W _ms : Width of strand s of charge m m∈M, s∈S, W _ms ∈K

l _ik : length i∈I,k∈K when slab i is made of width k

D _ik : weight i∈I,k∈K when slab i is made of width k

C _min , C _max : Minimum charge, maximum weight

C' _min : Minimum real weight of charge

A _max : Charge max length difference (=E _max )

B _max : Cast max length difference (=E _max )

δ _ims : 1 if it is possible for slab i to be located on charge m, strand s, or 0, i∈I, m∈M, s∈S (width range and steel grade must match)

decision variable

x _ims : 1 if slab i is located on charge m, strand s 0 otherwise

e _ms : filtration capacity made from strand s of charge m

d ^{+ m} : length of strand 0 of charge m - length of strand 1

d ^-m : length of strand 1 of charge m -length of strand 0

purpose

Maximize

In this stage, since the number of charges in the cast, the width of the strands, the charge order, and the steel type have already been determined, only the first objective formula to maximize the knitting amount and the second objective formula to minimize the filter media are configured. Like the cast frame generator 120 above, the objective coefficient of the programming amount has a positive value, and the objective coefficient of the media has a negative value.

The constraint formula of the slab batch mixed integer programming method is as follows.

It should be noted in the above constraints, first of all, the slab width range and steel grade constraints are determined only by δ _ims , which is a variable that indicates where the slab can fit into the charge. Also, since the location of the charge inside the cast is already determined, the moment the slab will enter the charge, the cast is also determined. Therefore, in the case of this slab batch mixed integer programming method, there is no need to include the cast dimension in the decision variable unnecessarily, so the number of decision variables is reduced, thus speeding up the calculation of the mixed integer programming method. In addition, due to the existence of e _ms , which is a variable indicating the amount of filtering of the strand s of the charge m, a solution that always exists (Feasible) is found.

So far, the entire process of the present invention has been described. First, a slab group is generated through data preprocessing, and cast and charge frames are generated through the three-step mixed integer programming method and three auxiliary steps described above using the slab group, and finally, the slab is placed inside the cast frame. do. Through the above-described process, the charge and slab configuration inside the cast are created before the performance stage.

As mentioned above, the present invention can organize casts and charges using a given input, the Slavic spell.

Organized casts and charges measure their productivity through the same index as the objective formula of the mixed integer programming method described above. In other words, productivity can be measured through four indicators: the amount of slab knitting, the number of casts, the number of casts, and the amount of media.

Figure 4 is a table showing the conditions of the first to third data set to show the technical effect of the heavy plate slab production design apparatus according to an embodiment of the present invention.

Referring to FIG. 4 , the effect was confirmed by comparing the existing method and the method according to the present invention with four given indices. The specific gravity between each index was confirmed by comparing the existing method and the method according to the present invention with four given indices. The weight between each index was determined through experimentation, and it was set to lose 100 tons of formation when one cast increases, and 100 tons of formation when one pole increases by far. Also, if 1 ton of filter media is used, it is set as a loss of 1 ton of fabric. The input data selected as the comparison target is the division of the charge and cast actually organized by POSCO in units of slabs, and there are a total of three test data, which are indicated as first data, second data, and third data, respectively.

The comparison results are shown in Table 1 below.

(Table 1)

Table 1 above compares the existing method for field data and the method of the present invention. In the case of the objective expression value, it is calculated as (Amount of formation) - (100 × Number of casts) - (100 × Number of casts) - (Amount of mediation).

First, in Data 1 and 2 (first data, second data), the method of the present invention showed superior results with respect to all of the composition amount, the number of casts, the number of major performances, and the amount of mediation. In the case of Data No. 3 (the third data), the method of the present invention showed superior results for all indicators except for the amount of filtration, and the objective expression value, which is a comprehensive indicator, also showed a larger value in the method of the present invention. Therefore, it can be seen from the above data set that the method of the present invention exhibits superior performance than the existing method. However, since the number of experiments was insufficient to prove that the method of the present invention is universally superior only by the above experiment, the following experiment was performed to supplement this.

The second experiment is to randomly generate 100 similar data for Data 1, 2, and 3 (hereinafter referred to as “regeneration”). As can be seen in FIG. 4, each data has different characteristics, and since the amount of slabs for each type of steel is redistributed when randomly creating data, various results can be aggregated through experiments. Therefore, it is possible to prove the universal superiority of the present invention through 300 additional experiments.

Table 2 below shows the experimental results obtained through 100 regenerated data for each data.

(Table 2)

In the case of the results reproduced with Data 1, 2, and 3, it can be confirmed that the method of the present invention is superior to all indicators on average.

Therefore, if the methodology of the present invention is applied, it is possible to knit casts and charges that are superior in productivity to the existing invention. In particular, it can be seen that the indicators for the number of casts and the number of performances, which are the most important in maximizing the usability of the tundish, which is the object of the present invention, are significantly improved compared to the existing ones.

5 is a diagram illustrating an exemplary computing environment in which a heavy plate slab production design apparatus according to an embodiment of the present invention can be implemented.

Referring to FIG. 5 , an example of a system 1000 including a computing device 1100 configured to be implemented by the above-described apparatus for designing a heavy plate slab is shown. For example, computing device 1100 may be a personal computer, server computer, handheld or laptop device, mobile device (mobile phone, PDA, media player, etc.), multiprocessor system, consumer electronics, minicomputer, mainframe computer, distributed computing environments including any of the aforementioned systems or devices, and the like.

The computing device 1100 may include at least one processing unit 1110 and a memory 1120 . Here, the processing unit 1110 may include, for example, a central processing unit (CPU), a graphic processing unit (GPU), a microprocessor, an Application Specific Integrated Circuit (ASIC), Field Programmable Gate Arrays (FPGA), etc. and may have a plurality of cores. The memory 1120 may be a volatile memory (eg, RAM, etc.), a non-volatile memory (eg, ROM, flash memory, etc.), or a combination thereof.

Additionally, computing device 1100 may include additional storage 1130 . Storage 1130 includes, but is not limited to, magnetic storage, optical storage, and the like. The storage 1130 may store computer readable instructions for implementing one or more embodiments disclosed herein, and other computer readable instructions for implementing an operating system, an application program, and the like. Computer readable instructions stored in storage 1130 may be loaded into memory 1120 for execution by processing unit 1110 .

Computing device 1100 may also include input device(s) 1140 and output device(s) 1150 . Here, the input device(s) 1140 may include, for example, a keyboard, mouse, pen, voice input device, touch input device, infrared camera, video input device, or any other input device, or the like. Further, the output device(s) 1150 may include, for example, one or more displays, speakers, printers, or any other output device, or the like. Also, the computing device 1100 may use an input device or an output device included in another computing device as the input device(s) 1140 or the output device(s) 1150 .

In addition, the computing device 1100 may include communication connection(s) 1160 that enable it to communicate with another device (eg, the computing device 1300 ) over the network 1200 . Here, communication connection(s) 1160 may be a modem, network interface card (NIC), integrated network interface, radio frequency transmitter/receiver, infrared port, USB connection, or other for connecting computing device 1100 to another computing device. It may include interfaces. Also, the communication connection(s) 1160 may include a wired connection or a wireless connection.

Each component of the above-described computing device 1100 may be connected by various interconnections such as a bus (eg, peripheral component interconnection (PCI), USB, firmware (IEEE 1394), optical bus structure, etc.) and may be interconnected by a network.

As used herein, terms such as "preprocessor", "classifying unit", "joining unit", "cast frame generating unit", "slab arrangement unit", "cast cutting unit", "slab arrangement calculating unit", etc. are generally refers to a computer-related entity that is hardware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. For example, both an application running on a controller and a controller may be a component. One or more components may reside within a process and/or thread of execution, and a component may be localized on one computer or distributed between two or more computers.

The present invention described above is not limited by the above-described embodiments and the accompanying drawings, but is limited by the claims described below, and the configuration of the present invention may vary within the scope without departing from the technical spirit of the present invention. Those of ordinary skill in the art to which the present invention pertains can easily recognize that it can be changed and modified.

100: heavy plate slab production design device
110: preprocessor
111: classification unit
112: coupling part
120: cast frame generator
130: slab arrangement unit
131: cast cutout
132: slab placement operation unit

Claims (8)

A data pre-processing unit for classifying ordered slabs according to a pre-set heterogeneous relationship and combining them into a plurality of slab groups according to a pre-set width candidate for a cast;
a cast frame generator for generating a cast frame in which the plurality of slab groups are disposed according to a mixed integer programming method having a preset formula and constraint conditions and a preset objective formula and additional constraints; and
A slab arrangement unit for arranging slabs in units of slabs in a cast frame produced based on the plurality of slab groups by the cast frame generating unit
A heavy plate slab production design device comprising a.
According to claim 1,
The data preprocessor
According to the product of the preset minimum charge weight and the value obtained by subtracting the filtration rate of the ratio of slabs not included in the order by '1', for slabs that exceed the weight, Classification unit for classifying the Slavs; and
A coupling unit for combining the slabs classified according to the connection component by the classifying unit into the slab group
A heavy plate slab production design device comprising a.
The method of claim 1,
The cast frame generating unit includes a set of the width and steel type index of the slab, the steel type and width information of the slab, information about the weight of the charge included in the cast, and the parameters having the cast and charge-specific strand length information, the steel type of the slab and the weight of the slab group having a width set by the width combination, the amount of the slab group sent to the charge, the amount of the filter media slab group sent to the charge, the formula based on the determining variables having the number of charges and the constraint conditions A heavy plate slab production design device for generating the cast frame and the frame of the charge.
According to claim 1,
The slab arrangement part
a cast trimming unit for adjusting the number of charges in the cast frame generated by the cast frame generating unit; and
The slab, the width of the slab, the cast, the charge, the exponential set of strands, the width of the charge, the length and weight according to the width of the slab, the minimum and maximum weight of the charge, the maximum length difference between the strands of the charge, the cast determined according to the difference in the maximum length between the strands of the charge, a parameter determined according to the slab position of the strands of the charge, whether the charge strands are located in the slabs, the amount of filtrate made from the strands of the charge, and the length difference between the strands of the charge A slab arrangement calculating unit that calculates the arrangement of slabs in the cast frame with an objective expression based on a decision variable
A heavy plate slab production design device comprising a.
A data pre-processing unit for classifying ordered slabs according to a pre-set heterogeneous relationship and combining them into a plurality of slab groups according to a pre-set width candidate for a cast;
a cast frame generator for generating a cast frame in which the plurality of slab groups are disposed according to a mixed integer programming method having a preset formula and constraint conditions and a preset objective formula and additional constraints; and
A slab arrangement unit for arranging slabs in units of slabs in a cast frame produced based on the plurality of slab groups by the cast frame generating unit
A computer-readable storage medium storing a program programmed to operate a heavy plate slab production design device comprising a.
6. The method of claim 5,
The data preprocessor
According to the product of the preset minimum charge weight and the value obtained by subtracting the filtration rate of the ratio of slabs not included in the order by '1', for slabs that exceed the weight, Classification unit for classifying the Slavs; and
A coupling unit for combining the slabs classified according to the connection component by the classifying unit into the slab group
A computer-readable storage medium storing a program programmed to operate a heavy plate slab production design device comprising a.
6. The method of claim 5,
The cast frame generation unit includes a set of the width and steel type index of the slab, the steel type and width information of the slab, information about the weight of the charge included in the cast, and the cast and charge parameters having strand length information, the steel type of the slab and the weight of the slab group having a width set by the width combination, the amount of the slab group sent to the charge, the amount of the media slab group sent to the charge, the formula based on the determining variables having the number of charges and the constraint conditions A computer-readable storage medium storing a program programmed to operate a heavy plate slab production design device for generating the cast frame and the frame of the charge.
6. The method of claim 5,
The slab arrangement part
a cast trimming unit for adjusting the number of charges in the cast frame generated by the cast frame generating unit; and
The slab, the width of the slab, the cast, the charge, the exponential set of strands, the width of the charge, the length and weight according to the width of the slab, the minimum and maximum weight of the charge, the maximum length difference between the strands of the charge, the cast determined according to the difference in the maximum length between the strands of the charge, a parameter determined according to the slab position of the strands of the charge, whether the charge strands are located in the slabs, the amount of filtrate made from the strands of the charge, and the length difference between the strands of the charge A slab arrangement calculating unit that calculates the arrangement of slabs in the cast frame with an objective expression based on a decision variable
A computer-readable storage medium storing a program programmed to operate a heavy plate slab production design device comprising a.

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