CN101791631A - Integrated control method and device of production operations of heating furnace and hot rolling of iron and steel enterprise - Google Patents

Abstract

The invention relates to an integrated control method and a device of production operations of a heating furnace and hot rolling of an iron and steel enterprise, belonging to the technical field of iron and steel metallurgy. The integrated control method comprises the following steps: firstly establishing a production operation model of hot rolling and the production operation model of the heating furnace, and utilizing the intelligent optimization algorithm to determine the initial production operations; evaluating and analyzing the obtained production operation schemes; carrying out feedback on the evaluation and analysis results through the closed loop control strategy, amending the production operation schemes, and finally determining the integrated control scheme complying with the conditions of the production operations of the heating furnace and hot rolling process step. The integrated control method adopts the closed loop control strategy for integrating the heating furnace and the hot rolling process step, thereby being capable of avoiding the constrain that the existing method is easy to cause the local optimization to a great extent, also effectively solving the outstanding conflicts and problems in the current actual production and realizing the integrated control and the optimization of production operation plans of the heating furnace and the hot rolling.

Description

A kind of iron and steel enterprise heating furnace and hot rolling production operation integrated control method and device

Technical field

The invention belongs to the technical field of Ferrous Metallurgy, particularly a kind of iron and steel enterprise heating furnace and hot rolling production operation integrated control method and device.

Background technology

Hot-strip is most important steel products, accounts for the over half of whole steel products, is to weigh the key factor that a national iron and steel is produced flourishing level.Heating furnace and hot rolling production play an important role in the whole production flow process of iron and steel enterprise, and the hot rolled coil that hot-rolled process is produced can directly be sold as finished product on the one hand, supplies raw materials for each production process in downstream fine process segment again on the other hand.

The technological process of production of iron and steel enterprise's hot rolling mill in the actual production, can be deposited more than 100 slab buttress as shown in Figure 1 usually in the slab storehouse, in each slab buttress nearly 10 blocks of slabs are arranged, and every block of slab all has technic indexs such as different specifications and weight.When a certain slab was incorporated into production operation, operating personnel utilized loop wheel machine with taking out in its slave plate hack, are put on the roller-way, send into heating furnace then and heat.In order to guarantee the continuous production of hot rolling unit, having a plurality of heating furnaces usually is a hot rolling unit feed.Each heating furnace generally can heat nearly 30 blocks of slabs simultaneously, but requiring adjacent slab must be that specification is close with heating process.When heating furnace is filled, have only that new slab just can enter after first block of slab in the stove come out of the stove.Because each slab just can be come out of the stove after must being heated to the temperature of regulation, if the slab of front do not come out of the stove, even so the slab of back to the temperature of regulation can not come out of the stove, cause the slab burning.Must produce sequence consensus with the slab that the hot rolling unit is worked out from the slab order that each heating furnace comes out.At the hot rolling unit, the slab after coming out of the stove at first is rolled on roughing mill, and then rolling by finish rolling system unit, after obtain coiled sheet or steel sheet product after shearing.In order to guarantee the ordinary production of hot rolling unit, the specification between the adjacent slab is switched must be within limits.

Though operating personnel have tired out considerable experience at the establishment and the controlling party area of production operation, also obtained very big effect, but owing to there is numerous production technology constraints in the production of heating furnace and hot rolling, and characteristics such as have in batches less, description is many, varied in thickness is frequent, the tapping temperature excursion is big, the establishment of its production operation and control very complexity.Mainly there are following problem in current production operation establishment and control method:

(1) is difficult between heating furnace and the hot-rolled process coordinate;

The manual method that hot rolling mill generally adopts at present is to regard heating furnace and hot rolling as two separate operations carry out the establishment and the control of production operation respectively substantially, this method is core with the hot-rolled process, at first formulate the production operation and the control scheme of hot rolling, the heating furnace producers by the scene distribute slab to each heating furnace according to the rolling order of the determined slab of this scheme successively according to heat (batch) number then.With 6 slab { s ₁, s ₂..., s ₆Hot rolling unit production operation scheme and 3 supporting heating furnaces 1#, 2#, 3#} are example, the assigning process of this manual method is followed successively by: s ₁-1#, s ₂-2#, s ₃-3#, s ₄-1#, s ₅-2#, s ₆-3#.Though this method can guarantee to continue to the hot-rolling mill group requirement of supply slab substantially, but this method is mechanical, passive type, though in the establishment of hot rolling production operation and control procedure, also considered the technology and the control requirement of some heating furnaces, but heating furnace is different with the production control target with the production technology constraint of hot rolling, thereby the currently used method that with the hot rolling is core is ignored heating furnace causes the rhythm of production between these two operations to be difficult to coupling through regular meeting, and then cause existing between these two operations than the long stand-by period, the average furnace temperature of heating furnace is higher, energy resource consumption is serious, and the wherein said stand-by period comprises that the stand-by period of milling train wait heating furnace discharging and the slab that can come out of the stove just are incubated the stand-by period of causing at rolling other slab because of milling train in heating furnace;

(2) heating furnace will become " bottleneck " operation;

Though in the actual production normally by many heating furnaces to a hot rolling unit feed, but because wide in variety, the varied in thickness of heating slab excursion frequent, tapping temperature is big, thereby the production capacity of heating furnace will be far below its designed productive capacity in actual production, thereby the rhythm of production that causes heating furnace does not catch up with the rhythm of production of hot-rolling mill, becomes " bottleneck " operation that serious restriction hot rolling mill production capacity improves;

(3) production cost and control target are numerous and conflicting, are difficult to make overall plans;

In the establishment of heating furnace and hot rolling production operation and control, need to consider numerous production costs, specification as slab is switched cost, Energy Consumption Cost, the collapse of setting cost, back order cost etc., wherein said specification is switched cost and is comprised that width and thickness jump, in addition, also need to consider numerous production control targets, logistics balance as each unit of milling train back, slab is at the way of stacking of middle database, the charging mode of heating furnace, usage ratio of equipment, deliver goods on schedule etc., and be conflicting and conflict between these targets, therefore, the manual method of current employing can only be conceived to important production cost of minority and control target, often attend to one thing and lose sight of another, can't realize the optimal control on the overall level;

For the establishment of heating furnace operation and hot-rolled process production operation and control method had a lot of documents carried out relevant research (Cowling P.A flexible decision support system for steel hot rolling mill scheduling[J], Computers; Industrial Engineering, 2003,45 (2): 307-321; Broughton JS.Optimized schedulingand control of a continuous walking beam reheat furnace via the use of computational intelligence.PhD thesis, Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield (UK), 2003; Broughton JS, MahfoufM, Linkens DA.A paradigm for the scheduling ofa continuous walking beam reheat furnace using a modified genetic algorithm[J], Materials andManufacturing Processes, 2007,22:607-614), but these methods only all are at heating furnace operation or hot-rolled process, or anthropomorphic dummy's construction method regards them as two separate systems be optimized respectively and control, thereby these methods can not be used for solving the subject matter that current actual production exists.

Summary of the invention

For overcoming the deficiency of said method, the present invention takes all factors into consideration the production technology constraint between hot rolling production and the heating furnace, providing a kind of integrates hot rolling and heating furnace production operation, adopt the closed-loop control strategy, the heating furnace set up and the production operation model of hot rolling are carried out iterative feedback modifiers, realize the integrated control and the optimization method of heating furnace and hot rolling production operation, thereby guarantee coordination and stable operation that heating furnace and hot rolling are produced, improve the quality of products, improve the unit equipment utilization rate, eliminate the bottleneck operation, improve the unit production capacity, reduce production costs, and realize energy-saving and cost-reducing.

The technical solution used in the present invention is:

A kind of iron and steel enterprise heating furnace and hot rolling production operation integrated control method may further comprise the steps:

Step 1: determine the control target of hot rolling unit production run, and set up the needed process constraint condition of the normal operation of unit self;

For determining control target and constraints, set up hot rolling production operation model, the production operation system of hot rolling unit is described;

It is described that to set up the production operation model as follows: be provided with 1 hot rolling unit, and the current milled sheet base set N={1 that treats, 2 ..., n}, the hot rolling production operation model description of foundation is as follows:

$\min \mathrm{imize}\underset{i=1}{\overset{n-1}{\mathrm{\Σ}}}{c}_{x_i{x}_{i+1}}---\left(1\right)$

s.t.

In the formula, x _iBe decision variable, come the slab number of the slab of i position in the rolling order of expression hot rolling unit, i.e. x _i∈ N, i=1,2 ..., n; Represent that specification and technology between the adjacent slab switches pairing production cost, the specification between the wherein adjacent slab comprises width, thickness, hardness, the rolling temperature of slab;

Represent total hot rolling production cost;

The constraints of model is as follows:

$|w_{x_i}-w_{x_{i+1}}|\≤W_{\max },i=1,...,n-1---\left(2\right)$

$|g_{x_i}-g_{x_{i+1}}|\≤G_{\max },i=1,...,n-1---\left(3\right)$

$p_{x_i}^{\min }\≤i\≤p_{x_i}^{\max },i=1,...,n---\left(4\right)$

$\left|\mathrm{CU}{T}_{x_i}\right|\≤q_{x_i},i=1,...,n-1---\left(5\right)$

$\left|H_{x_i}\right|\≤h,i=1,...,n-1---\left(6\right)$

x _i∈N，i＝1，...，n (7)

In the formula, constraint (2) and (3) is the technology and the production run constraints of system self, guarantees that respectively the width of adjacent slab and thickness jump in allowed limits,

With

Represent slab x respectively _iRolling width and thickness, W _MaxAnd G _MaxThe maximum of representing adjacent slab respectively allows width and thickness to jump; Constraint (4) guarantees slab x _iMust layout in the rolling position scope of regulation, p _i ^MinAnd p _i ^MaxRepresent slab x respectively _iMinimum in rolling unit and the maximum layout position that allows; The continuous layout amount of slab that constraint (5) guarantees to have identical type of cut can not surpass the maximum permissible value of the type defined

Wherein Be illustrated in slab x _iBefore continuous rolling and with slab x _iThe set of the identical slab of type of cut; Constraint (6) guarantees that thickness can not surpass the maximum permissible value h that stipulates than the continuous layout amount of sheet slab, wherein

Be illustrated in slab x _iBefore continuous rolling and with slab x _iBelong to the slab set of thickness than sheet slab; Constraint (7) is decision variable x _iSpan;

Step 2: determine the control target of heating furnace operation production run, and set up the needed process constraint condition of the normal operation of heating furnace self;

According to the determined hot rolling production operation of step 1 scheme, set up heating furnace production operation model, the production operation system of heating furnace operation is described;

Described heating furnace production operation model is as follows: establishing given hot rolling production operation is S={s ₁, s ₂...., s _n, s wherein _iThe slab of the slab that is rolled i position of layout number in the expression rolling unit is established the individual identical parallel heating furnace of total M, and heating furnace operation production operation model description is as follows:

$\min \mathrm{imize}{w}_1\underset{i=1}{\overset{n}{\mathrm{\Σ}}}(e_i-b_i{-h}_i)+w_2\underset{i=2}{\overset{n}{\mathrm{\Σ}}}{(e_i-e_{i-1}-r_{i-1})}^{+}+w_3(e_n-b_1)---\left(8\right)$

s.t.

In the formula, w _iRepresent the weight of each sub-goal in object function (8); First Be the burning time of all slabs, wherein b _i, e _i, h _iRepresent the slab s of layout respectively i position _iThe minimum of going into stove time, the time of coming out of the stove and needing in the stove heating furnace time; Second

Be that the hot rolling unit is waited for total stand-by period that heating furnace goes out slab, wherein r _iThe expression layout is at the slab s of i position _iRolling time; The 3rd w ₃(e _n-b ₁) expression heating furnace net cycle time;

The constraints of model is as follows:

$\underset{m=1}{\overset{M}{\mathrm{\Σ}}}{x}_{\mathrm{im}}=1,i=1,...,n;m=1,...,M---\left(9\right)$

y _ij＝0，i，j＝1，...，n?and?i＞j (10)

|g _i-g _j|≤G′ _max+Q(1-y _ij)，i，j＝1，...，n (11)

b _i+t≤b _j+Q(1-y _ij)，i，j＝0，...，n (12)

e _i+t≤e _j+Q(1-y _ij)，i，j＝0，...，n (13)

b _j≥e _i+Q(z _ij-1)，i，j＝0，...，n (14)

e _i≥b _i+h _i，i＝2，...，n (15)

e _i≥e _i-1+r _i-1，i＝2，...，n (16)

x _im，y _ij，z _ij∈{0，1}，i，j＝0，...，n；m＝1，...，M (17)

b _i，e _i≥0，i＝0，...，n (18)

In the formula, constraint (9) guarantees each slab energy and can only be assigned to a heating furnace to heat, wherein x _ImExpression slab s _iThe shove charge scheme, if promptly with slab s _iM# heating furnace, x so pack into _Im=1, otherwise x _Im=0; The heating sequence of slab will be obeyed the slab hot rolling order that has woven, wherein y in constraint (10) the assurance heating furnace _IjExpression slab s _iAnd s _jNeighbouring relations in heating furnace are if i.e. slab s in heating furnace _jBe adjacent to slab s _iAfterwards, y so _Ij=1, otherwise y _Ij=0; Constraint (11) guarantees that the thickness of slab adjacent in the same heating furnace jumps at the permitted maximum range G ' of regulation _MaxIn, wherein Q is an enough big number, g _iAnd g _jRepresent slab s respectively _iAnd s _jThickness; Constraint (12) and (13) is the time relationship of adjacent slab turnover heating furnace, guarantees that heating furnace is first in first out when the heating slab, and wherein t is the slab turnover needed adjustment time of heating furnace; Constraint (14) is the self-operating constraint of heating furnace, guarantees that the maximum that heating furnace can heat simultaneously is L at stove slab number _m(m=1,2 .., M), z wherein _Ij=1 slab that is illustrated in same heating furnace heats slab s in the sequence _iAt slab s _jL before _mOn the individual position; Constraint (15) is the heating process requirement of slab self, guarantees just can come out of the stove each slab must be heated to required time in heating furnace after; Constraint (16) is the nothing buffering technological requirement between heating furnace and the hot rolling, guarantees to have only when hot rolling is idle next piece to want rolling slab to come out from heating furnace; Constraint (17) and (18) is decision variable b _iAnd e _iSpan constraint;

Step 3: utilize heuritic approach to determine the initial production operation: according to the hot rolling production operation model of step 1, determine the initial production operation of hot-rolled process, according to the heating furnace production operation model of step 2, utilize the initial production operation of determining the heating furnace operation corresponding based on the heuritic approach of decision tree with the initial production operation of hot-rolled process;

Step 4: utilize intelligent optimization algorithm that initial hot-rolled process and heating furnace operation production operation Integrated Solution are optimized and improve;

Step 5: improved hot-rolled process and the production operation of heating furnace operation are estimated and analyzed: according to the production of heating furnace operation and hot-rolled process and operational procedure, production cost economic indicator, the heating furnace operation production operation after determine improving and the inharmonious factor of hot-rolled process production operation comprise the burning degree of slab in whether slick and sly in specification or technologic switching between the adjacent slab in coordination degree, hot rolling and the heating furnace of rhythm of production between hot rolling and the heating furnace, the heating furnace;

Step 6: will estimate with analysis result and feed back, and utilize Heuristics and heuristic in the expert system that corresponding modification and adjustment are carried out in production operation;

Step 7:, then be handed down to hot rolling unit and heating furnace and carry out if revise and the realistic manufacturing technique requirent of adjusted production operation; Otherwise, as input, forward this production operation to step 4.

Intelligent optimization algorithm described in the step 4 of the present invention comprises scatter searching algorithm, simulated annealing and change neighborhood search algorithm, and wherein, the scatter searching algorithm comprises the steps:

Step 1. is provided with the maximum running time T of algorithm with current hot rolling production operation, preferably separate as history _Max, population size N _Pop, the big or small N of reference set _Ref, the quantity N of subclass _Sub, and i=1 is set, the candidate solution set is for empty;

Step 2. is the basis with current preferably separating, and it is imposed at random move, and as the slab that exchanges two positions at random, with the slab deletion of a random site and to be inserted into other random site first-class, obtains new separating, and the mode by repeatedly operation obtains N _Pop-1 RANDOM SOLUTION stores them in the population into current preferably separating then, and candidate solution set is set separates in the population all;

If Step is 3. iterations i=1, i=i+1 is set, and changes Step 4; Otherwise if new reference set is identical with original reference set or algorithm reaches maximum running time, the hot rolling production operation after output is optimized stops;

Step 4. selects N from the candidate solution set _Ref/ 2 top-quality separating, and other are stored in the reference set, and then from the candidate solution set, select one with reference set in the separating of all minimum range maximums of separating, and other are inserted in the reference set, repeat this process up to N is arranged again _RefSeparate for/2 and be stored in the reference set;

Step 5. gets 2 at random and separates subclass of formation from reference set, repeat this process up to generating N _Sub/ 2 subclass, and then from reference set, get 3 at random and separate subclass of formation, this process repeated up to generating N again _Sub/ 2 subclass, thus N obtained altogether _SubIndividual subclass;

Step 6. is at each subclass, and separating wherein synthesized a new explanation, can obtain N altogether _SubIndividual new explanation;

Step 7. uses the neighborhood search algorithm and makes improvements for each new explanation, and employed neighborhood type has two kinds: Inner-relocation is about to certain locational slab and is inserted into other position; Swap promptly exchanges two slabs on the diverse location;

Be better than currently preferably separating if having in the new explanation after Step 8. improves, then upgrade and currently preferably separate;

Separating as new candidate solution set in new explanation after Step 9. improves these and the former reference set forwards Step 3 to;

Described simulated annealing comprises the steps:

Step 1. preferably separates current hot rolling production operation S as history, and initial temperature T is set ₀=500, final temperature T _f=20, cooling coefficient a=0.97 is provided with iterations k=1, and makes T _k=T ₀, what neighborhood type that Inner-relocation moves was used in definition is numbered 1, is about to certain locational slab and is inserted into other position; That uses neighborhood type that Swap moves is numbered 2, promptly exchanges two slabs on the diverse location;

If Step is 2. T _k＜T _f, the resulting best production operation of output algorithm, and withdraw from; Otherwise, change Step3;

Step 3. 1, produce a random number r among the 2}, it is the scale of r kind neighborhood that N (r) is set, the number of times i=0 of circulation in being provided with, and the current S of separating is set ₀=S;

Step 4. is for S ₀, in its neighborhood r, produce a neighborhood at random and separate S ', promptly to S ₀Use moving at random of a r neighborhood type, and i=i+1 is set, the variation delta f=f of calculating target function (S ')-f (S ₀), if Δ f＜0 makes S ₀=S ' changes Step4; Otherwise in [0,1], produce one and obey equally distributed random number ε, if exp (Δ f/T _k)＞ε then makes S ₀=S ', and change Step5;

If Step were 5. i＞N (r), would change Step 6; Otherwise, change Step 4;

If Step is 6. f (S ₀)＜f (S) then upgrades S=S ₀, make k=k+1, T _k=T _k* a changes Step 2;

Described change neighborhood search algorithm comprises the steps:

Step 1. preferably separates current hot rolling production operation S as history, iterations i=0 is set, maximum iteration time I _Max=100, what neighborhood type that Inner-relocation moves was used in definition is numbered 1, is about to certain locational slab and is inserted into other position; That uses neighborhood type that Swap moves is numbered 2, promptly exchanges two slabs on the diverse location;

If Step were 2. i＞I _Max, the resulting best production operation of output algorithm, and withdraw from; Otherwise, i=i+1 is set, and current neighborhood type k=1 is set, and change Step3;

If Step is 3. k＞and 4, change Step 2; Otherwise, change Step 4;

Step 4. produces a neighborhood at random and separates S ' for S in its k neighborhood type, promptly S is used moving at random of a k neighborhood type; And the best neighborhood of searching for S ' in being numbered the neighborhood of k separates, and is designated as S "; If f (S ")＜f (S) puts S=S ", and k=1 is set; Otherwise k=k+1 is set, changes Step 3.

A kind of iron and steel enterprise heating furnace and hot rolling production operation integrated control device comprise data server, data acquisition unit, data processor, memory, optimized processor, production operation uploader, heating furnace Production Controller, hot rolling Production Controller, hot rolling unit and heating furnace;

Data server is connected by the TCP/IP network with data acquisition unit, heating furnace Production Controller, hot rolling Production Controller, production operation uploader, data acquisition unit is connected with memory with data processor respectively, data processor is connected with memory, memory is connected with optimized processor, optimized processor is connected with the production operation uploader with display respectively, the heating furnace Production Controller is connected with heating furnace, and the hot rolling Production Controller is connected with the hot rolling unit;

The real-time production information of heating furnace and hot rolling unit sends it to data processor in the data acquisition unit detection data server; Data acquisition unit is downloaded in the data server slab information to be processed in the slab storehouse simultaneously, and it is saved in the memory; Data processor to slab information to be processed in the real-time production information of heating furnace and hot rolling unit and the slab storehouse classify, format conversion, and it is saved in the memory; Optimized processor improves initial heating furnaceman preface production operation and hot-rolled process production operation, and production operation of initial heating furnaceman's preface and hot-rolled process production operation after improving are passed to data server by the production operation uploader; Data server passes to heating furnace Production Controller and hot rolling Production Controller respectively with production operation of improved heating furnace operation and hot-rolled process production operation; The work of heating furnace Production Controller control heating furnace; The work of hot rolling Production Controller control hot rolling unit.

Beneficial effect: the present invention adopts the closed-loop control strategy, heating furnace and hot-rolled process are integrated, can avoid existing method to be absorbed in the limitation of local optimum easily to a great extent, and effectively solve the conspicuous contradiction problem that exists in the current actual production, realize the integrated control and the optimization of heating furnace and hot rolling production operation establishment; Use the needed time of this process about a few minutes, be far smaller than the employed time of manual method; Control method of the present invention can realize coordination and the stable operation that heating furnace and hot rolling are produced, and improves the quality of products, and improves the unit equipment utilization rate, reduces production costs, and realizes energy-saving and cost-reducing.

Description of drawings

Fig. 1 is technological process of production figure of the present invention;

Fig. 2 is heating furnace of the present invention and hot rolling production operation integrated control method block diagram;

Fig. 3 is heating furnace of the present invention and hot rolling production operation integrated control method flow chart;

Fig. 4 is the schematic diagram that the present invention is based on the heuritic approach of decision tree;

Fig. 5 is M=2 of the present invention, under the d=2 situation based on the comparison schematic diagram of heuritic approach and the manual method of decision tree;

Fig. 6 is a hot rolling production operation scheme scatter searching algorithm flow chart of the present invention;

Fig. 7 is heating furnace of the present invention and hot rolling production operation integrated control device and workflow block diagram thereof;

Fig. 8 is a hot rolling production operation program simulation annealing algorithm flow chart of the present invention;

Fig. 9 becomes the neighborhood search algorithm flow chart for hot rolling production operation scheme of the present invention;

Figure 10 compares schematic diagram for the average result that uses the manual method that adopts in iron and steel enterprise's heating furnace proposed by the invention and hot rolling production operation integrated control method and the actual production.

The specific embodiment

The invention will be further described below in conjunction with drawings and Examples.

Fig. 2 is heating furnace of the present invention and hot rolling production operation integrated control method block diagram, at first heating furnace and hot rolling production operation establishment and control problem are decomposed into two subproblems, take all factors into consideration interactional production technology constraint between heating furnace and the hot-rolled process, set up hot rolling production operation model earlier, set up heating furnace production operation model according to this model again; Utilize intelligent optimization algorithm to find the solution these two models then and obtain heating furnace and hot-rolled process production operation scheme; Then resulting production operation scheme is estimated and analyzed; The result that will estimate and analyze by the closed-loop control strategy feeds back at last, thereby resulting production operation scheme is revised, because closed loop control method proposed by the invention is an iterative process, its end condition is to obtain qualified heating furnace and the integrated control scheme of hot-rolled process production operation, therefore can solve existing conspicuous contradiction problem in the present actual production.

Embodiment 1:

Fig. 3 is heating furnace of the present invention and hot rolling production operation integrated control method flow chart, and the concrete steps of this control method are as follows:

Step 1: determine the control target of hot rolling unit production run, and set up the needed process constraint condition of the normal operation of unit self;

For determining control target and constraints, set up hot rolling production operation model, the production operation system of hot rolling unit is described;

Be provided with 1 hot rolling unit, the current milled sheet base set N={1 that treats, 2 ..., n}, the hot rolling production operation model description of foundation is as follows:

$\min \mathrm{imize}\underset{i=1}{\overset{n-1}{\mathrm{\Σ}}}{c}_{x_i{x}_{i+1}}---\left(1\right)$

s.t.

In the formula, x _iBe decision variable, come the slab number of the slab of i position in the rolling order of expression hot rolling unit, i.e. x _i∈ N, i=1,2 ..., n;

Represent that specification and technology between the adjacent slab switches pairing production cost, the specification between the wherein adjacent slab comprises width, thickness, hardness, the rolling temperature of slab;

Represent total hot rolling production cost;

The constraints of model is as follows:

$|w_{x_i}-w_{x_{i+1}}|\≤W_{\max },i=1,...,n-1---\left(2\right)$

$|g_{x_i}-g_{x_{i+1}}|\≤G_{\max },i=1,...,n-1---\left(3\right)$

$p_{x_i}^{\min }\≤i\≤p_{x_i}^{\max },i=1,...,n---\left(4\right)$

$\left|\mathrm{CU}{T}_{x_i}\right|\≤q_{x_i},i=1,...,n-1---\left(5\right)$

$\left|H_{x_i}\right|\≤h,i=1,...,n-1---\left(6\right)$

x _i∈N，i＝1，...，n (7)

In the formula, constraint (2) and (3) is the technology and the production run constraints of system self, guarantees that respectively the width of adjacent slab and thickness jump in allowed limits,

With

Represent slab x respectively _iRolling width and thickness, W _MaxAnd G _MaxThe maximum of representing adjacent slab respectively allows width and thickness to jump; Constraint (4) guarantees slab x _iMust layout in the rolling position scope of regulation, p _i ^MinAnd p _i ^MaxRepresent slab x respectively _iMinimum in rolling unit and the maximum layout position that allows; The continuous layout amount of slab that constraint (5) guarantees to have identical type of cut can not surpass the maximum permissible value of the type defined

Wherein

Be illustrated in slab x _iBefore continuous rolling and with slab x _iThe set of the identical slab of type of cut; Constraint (6) guarantees that thickness can not surpass the maximum permissible value h that stipulates than the continuous layout amount of sheet slab, wherein Be illustrated in slab x _iBefore continuous rolling and with slab x _iBelong to the slab set of thickness than sheet slab; Constraint (7) is decision variable x _iSpan;

Step 2: determine the control target of heating furnace operation production run, and set up the needed process constraint condition of the normal operation of heating furnace self;

According to the determined hot rolling production operation of step 1 scheme, set up heating furnace production operation model, the production operation system of heating furnace operation is described;

Described heating furnace production operation model is as follows:

If given hot rolling production operation is S={s ₁, s ₂...., s _n, s wherein _iThe slab of the slab that is rolled i position of layout number in the expression rolling unit is established the individual identical parallel heating furnace of total M, and heating furnace operation production operation model description is as follows:

$\mathrm{<figure-callout\; id="1"\; label="min\; imize\; w"\; filenames="HSA00000029129100032.png,HSA00000029129100041.png"\; state="\{\{state\}\}">min</figure-callout>}\mathrm{imize}{w}_{}{}_1\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}(e_i-b_i-h_i)+w_2\underset{i=2}{\overset{n}{\mathrm{\&Sigma;}}}{(e_i-e_{i-1}-r_{i-1})}^{+}+w_3(e_n-b_1)---\left(8\right)$

s.t.

In the formula, w _iRepresent the weight of each sub-goal in object function (8); First

Be the burning time of all slabs, wherein b _i, e _i, h _iRepresent the slab s of layout respectively i position _iThe minimum of going into stove time, the time of coming out of the stove and needing in the stove heating furnace time; Second Be that the hot rolling unit is waited for total stand-by period that heating furnace goes out slab, wherein r _iThe expression layout is at the slab s of i position _iRolling time; The 3rd w ₃(e _n-b ₁) expression heating furnace net cycle time;

The constraints of model is as follows:

$\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}{x}_{\mathrm{im}}=1,i=1,...,n;m=1,...,M---\left(9\right)$

y _ij＝0，i，j＝1，...，n?and?i＞j (10)

|g _i-g _j|≤G′ _max+Q(1-y _ij)，i，j＝1，...，n (11)

b _i+t≤b _j+Q(1-y _ij)，i，j＝0，...，n (12)

e _i+t≤e _j+Q(1-y _ij)，i，j＝0，...，n (13)

b _j≥e _i+Q(z _ij-1)，i，j?0，...，n (14)

e _i≥b _i+h _i，i＝2，...，n (15)

e _i≥e _i-1+r _i-1，i＝2，...，n (16)

x _im，y _ij，z _ij∈{0，1}，i，j＝0，...，n；m＝1，...，M (17)

b _i，e _i≥0，i＝0，...，n (18)

In the formula, constraint (9) guarantees each slab energy and can only be assigned to a heating furnace to heat; The heating sequence of slab will be obeyed the slab hot rolling order that has woven, wherein y in constraint (10) the assurance heating furnace _IjExpression slab s _iAnd s _jNeighbouring relations in heating furnace are if i.e. slab s in heating furnace _jBe adjacent to slab s _iAfterwards, y so _Ij=1, otherwise y _Ij=0; Constraint (11) guarantees that the thickness of slab adjacent in the same heating furnace jumps at the permitted maximum range G ' of regulation _MaxIn, wherein Q is an enough big number, g _iAnd g _jRepresent slab s respectively _iAnd s _jThickness; Constraint (12) and (13) is the time relationship of adjacent slab turnover heating furnace, guarantees that heating furnace is first in first out when the heating slab, and wherein t is the slab turnover needed adjustment time of heating furnace; Constraint (14) is the self-operating constraint of heating furnace, guarantees that the maximum that heating furnace can heat simultaneously is L at stove slab number _m(m=1,2 .., M), z wherein _Ij=1 slab that is illustrated in same heating furnace heats slab s in the sequence _iAt slab s _jL before _mOn the individual position; Constraint (15) is the heating process requirement of slab self, guarantees just can come out of the stove each slab must be heated to required time in heating furnace after; Constraint (16) is the nothing buffering technological requirement between heating furnace and the hot rolling, guarantees to have only when hot rolling is idle next piece to want rolling slab to come out from heating furnace; Constraint (17) and (18) is decision variable b _iAnd e _iSpan constraint;

Step 3: utilize heuritic approach to determine the initial production operation: according to the hot rolling production operation model of step 1, determine the initial production operation of hot-rolled process, according to the heating furnace production operation model of step 2, utilize the initial production operation of determining the heating furnace operation corresponding based on the heuritic approach of decision tree with the initial production operation of hot-rolled process;

For given hot-rolled process production operation scheme S={s ₁, s ₂...., s _nAnd the utilizable heating furnace of M platform, the degree of depth of supposing decision tree is d, based on the heuritic approach of decision tree as shown in Figure 4, can be described as:

Step 1. copies S to an interim production operation S ', and current M platform heating furnace is set at sky, does not promptly comprise any slab in each stove, then the current heating furnace production operation that does not comprise any slab is set at the starting point of decision tree;

Step 2. chooses preceding d piece slab s from S ' ₁..., s _dIf (| S ' |＜d, then choose all slabs), suppose to have only in the current problem this d piece slab, thereby use full enumeration methodology to find best slab shove charge Decision of Allocation point, then with this d piece slab deletion from S ';

If Step 3. S ' are empty, stop; Otherwise, forward Step 2 to the starting point of current best decision point as next iteration;

Fig. 5 has provided and has used above method at M=2, the example under the d=2 situation, and wherein the time of can utilizing the earliest of 1# heating furnace and 2# heating furnace is respectively 5 and 5.5 (chronomere in this example be hour), slab s _I-2And s _I-1The time of coming out of the stove be respectively 6.5 and 6.9, the rolling time of slab is 0.1, slab s _iAnd s _I+1Minimum need heat time heating time and be respectively 2 and 2.6, slab s _iRolling time be 0.05, Fig. 5 (a) is that iron and steel enterprise uses current manual method (promptly the rolling order according to hot-rolled process sequentially adds slab in each heating furnace) resulting result, wherein slab s _iThe time of coming out of the stove be max{6.9+0.1,5+2}=7, slab s _I+1The time of coming out of the stove be max{7+0.05,5.5+2.6}=8.1, then the value that is at the sub-goal weighted value under 1 the situation at the object function (8) of these two slabs is (7-5-2)+(8.1-5.5-2.6)+(7-6.9-0.1)+(8.1-7-0.05)+(8.1-6.9)=2.25, wherein slab s _I+1The time of coming out of the stove be 8.1 and the time of can utilizing the earliest of hot rolling unit is 7+0.05=7.05, so the hot rolling unit will be because of waiting for slab s _I+1The invalid stand-by period of coming out of the stove and causing is 8.1-7.05=1.05, and this will cause the production capacity of whole production line to reduce greatly, and waste energy.Fig. 5 (b) is to use based on the resulting result of the heuritic approach of decision tree, wherein slab s _iBe assigned to the 2# heating furnace, and slab s _I+1Be assigned to the 1# heating furnace, can obtain slab s by calculating _iAnd s _I+1The time of coming out of the stove be respectively 7.5 and 7.6, then the value at the object function (8) of these two slabs is (7.5-5.5-2)+(7.6-5.0-2.6)+(7.5-6.9-0.1)+(7.6-7.5-0.05)+(7.6-6.9)=1.25, and this will be significantly smaller than the result 2.25 among Fig. 5 (a); In addition, slab s _I+1The time of coming out of the stove be 7.6 and the time of can utilizing the earliest of hot rolling unit is 7.5+0.05=7.55, so the hot rolling unit will be because of waiting for slab s _I+1The invalid stand-by period of coming out of the stove and causing is 7.6-7.55=0.05, obviously 1.05 in the invalid stand-by period between hot rolling and the heating furnace and the original manual method compared and will be reduced greatly in this case, therefore, heuritic approach based on decision tree will obviously be better than the manual method that present steel enterprise adopts, and can realize the production coordination control between heating furnace and the hot-rolled process;

Step 4: utilize intelligent optimization algorithm that initial hot-rolled process and heating furnace operation production operation Integrated Solution are optimized and improve;

Based on initial heating furnace and hot-rolled process production operation, utilize the scatter searching algorithm that it is optimized and improves, with the burning time of further reduction hot rolling production cost, slab, the stand-by period of hot rolling and total working time of heating furnace etc.Hot-rolled process production operation optimization determines because the production operation of heating furnace operation is based on, so this optimization Algorithm object is the hot rolling production operation, its flow process as shown in Figure 6, concrete steps are:

Step 1. preferably separates current hot rolling production operation scheme as history, and the maximum running time T of algorithm is set _Max, population size N _Pop, the big or small N of reference set _Ref, the quantity N of subclass _Sub, and i=1 is set;

Step 2. is the basis with current preferably separating, and it is carried out at random moving, and as the slab that exchanges two positions at random, with the slab deletion of a random site and to be inserted into other random site first-class, obtains new separating, and the mode by repeatedly operation obtains N _Pop-1 RANDOM SOLUTION stores them in the population into current preferably separating then, and candidate solution set is set separates in the population all;

If Step is 3. iterations i=1, i=i+1 is set, and changes Step 4; Otherwise if new reference set is identical with original reference set or algorithm reaches maximum running time, the hot rolling production operation scheme after output is optimized stops;

Step 4. selects N from the candidate solution set _Ref/ 2 top-quality separating, and other are stored in the reference set, and then from the candidate solution set, select one with reference set in the separating of all minimum range maximums of separating, and other are inserted in the reference set, repeat this process up to N is arranged again _RefSeparate for/2 and be stored in the reference set;

Step 5. gets 2 at random and separates subclass of formation from reference set, repeat this process up to generating N _Sub/ 2 subclass, and then from reference set, get 3 at random and separate subclass of formation, this process repeated up to generating N again _Sub/ 2 subclass, thus N obtained altogether _SubIndividual subclass;

Step 6. is at each subclass, and separating wherein synthesized a new explanation, can obtain N altogether _SubIndividual new explanation;

Step 7. uses the neighborhood search algorithm and makes improvements for each new explanation, and employed neighborhood type has two kinds: Inner-relocation is about to certain locational slab and is inserted into other position; Swap promptly exchanges two slabs on the diverse location;

Be better than currently preferably separating if having in the new explanation after Step 8. improves, then upgrade and currently preferably separate;

Separating as new candidate solution set in new explanation after Step 9. improves these and the former reference set forwards Step 3 to;

Step 5: improved hot-rolled process and the production operation of heating furnace operation are estimated and analyzed: according to the production of heating furnace operation and hot-rolled process and operational procedure, production cost economic indicator, the heating furnace operation production operation after determine improving and the inharmonious factor of hot-rolled process production operation comprise the burning degree of slab in whether slick and sly in specification or technologic switching between the adjacent slab in coordination degree, hot rolling and the heating furnace of rhythm of production between hot rolling and the heating furnace, the heating furnace;

Step 6: will estimate with analysis result and feed back, utilize Heuristics and heuristic in the expert system that corresponding modification and adjustment are carried out in production operation, as: if the specification between the adjacent slab or technologic switching are bigger in the heating furnace, then attempt the slab in a certain slab and other heating furnace exchange, and the rolling order of slab in the corresponding modification hot rolling production operation scheme; When if the burning overlong time of a certain slab will influence its rolling quality, trial is arranged into forward position in the heating furnace with this slab, reducing its burning time, and its rolling order in hot rolling production operation scheme of corresponding modification;

Step 7:, then be handed down to hot rolling unit and heating furnace and carry out if revise and the realistic manufacturing technique requirent of adjusted production operation; Otherwise, as input, forward this production operation to step 4.

Use heating furnace proposed by the invention and hot rolling production operation integrated control method, if iron and steel enterprise's hot rolling mill has 4 heating furnaces to a hot rolling unit feeding plate base, have 14 groups of representative actual production data that from actual production, obtain, and the scale of every group of data (being the slab number that is comprised) difference, table 1～table 4 has provided under the actual production data of these the 14 groups of different scales target weight situation different with 4 groups, with the comparative result after the resulting normalization as a result of the manual method in the actual production, Man represents presently used manual method in the table, and Alg represents integrated control method proposed by the invention.With the average result in the table 1 relatively is example, adopts after the integrated control method proposed by the invention: the hot rolling production cost only is original 0.3296, has reduced by 67.04%; The invalid stand-by period between hot rolling and the heating furnace only is original 0.5671, has reduced by 43.29%; Energy Consumption Cost only is original 0.8655, reduced by 13.45%, therefore, from the result as can be seen, heating furnace proposed by the invention and hot-rolled process production operation integrated control method on every evaluation index, all to obviously be better than present steel enterprise the manual method that generally adopts.

Table 1.W ₁The comparative result of manual method in integrated control method proposed by the invention and the actual production under the situation of=(1,1,1):

Table 2.W ₁The comparative result of manual method in integrated control method proposed by the invention and the actual production under the situation of=(1,2,1)

Table 3.W ₁The comparative result of manual method in integrated control method proposed by the invention and the actual production under the situation of=(1,2,2):

Table 4.W ₁The comparative result of manual method in integrated control method proposed by the invention and the actual production under the situation of=(1,1,2):

Heating furnace of the present invention and hot rolling production operation integrated control device and workflow thereof comprise following assembly as shown in Figure 7:

(1) the business data server 1, is used for storing the integrated control scheme of production operation of slab information to be processed, heating furnace and the real-time production information of hot rolling, heating furnace and hot rolling unit;

(2) TCP/IP network 2 is used for carrying out the data communication between the data server 1, data acquisition unit 3 of enterprise and production operation control scheme uploader 8, heating furnace Production Controller 9, the hot rolling Production Controller 10;

(3) data acquisition unit 3, are used for detecting and download in the business data server 1 the real-time production information with heating furnace and hot rolling unit, and are sent to data processor 4; Download slab information to be processed in the slab storehouse simultaneously, and it is saved in memory 5;

(4) data processor 4, are used in the real-time production information of heating furnace that data collector 3 is downloaded and hot rolling unit and the slab storehouse that slab information to be processed is classified, format conversion, and it is saved in the memory 5;

(5) memory 5, are used for preserving slab information to be processed in the real-time production information of heating furnace after handling through data processor 4 and hot rolling unit and the slab storehouse;

(6) optimized processor 6, wherein embedded heating furnace and hot-rolled process production operation integrated control method;

(7) based on the touch-screen display 7 of LCD, be used for showing the software system interface that embeds in this device, and with form and figure dual mode display optimization processor 6 resulting heating furnaces and the integrated control scheme of hot-rolled process production operation;

(8) production operation scheme uploader 8 is used for issuing execution by it then with uploading to the data server 1 of enterprise by the resulting heating furnace of optimized processor and the integrated control scheme of hot-rolled process production operation by TCP/IP network 2;

(9) the heating furnace Production Controller 9, are used for carrying out the heating furnace production operation control scheme of being assigned from the business data server, comprise shove charge allocative decision, shove charge order and shove charge time, heat protocol and heat time heating time, the time of coming out of the stove etc. of each slab.

(10) the hot rolling Production Controller 10, are used for carrying out the hot rolling production operation control scheme of being assigned from the business data server, comprise the rolling order of slab, by the roll-force of determined each slab of empirical equation, mill speed etc.

Data server is connected by the TCP/IP network with data acquisition unit, heating furnace Production Controller, hot rolling Production Controller, production operation uploader, data acquisition unit is connected with memory with data processor respectively, data processor is connected with memory, memory is connected with optimized processor, optimized processor is connected with the production operation uploader with display respectively, the heating furnace Production Controller is connected with heating furnace, and the hot rolling Production Controller is connected with the hot rolling unit.

Embodiment 2:

Present embodiment and embodiment 1 are roughly the same, and difference only is that the intelligent optimization algorithm of heating furnace and hot rolling production operation integrated control method step 4 adopts simulated annealing, utilizes simulated annealing that initial production operation Integrated Solution is optimized and improves.

Based on initial heating furnace and hot rolling production operation scheme, utilize simulated annealing that it is optimized and improves, with the burning time of further reduction hot rolling production cost, slab, the stand-by period of hot rolling and total working time of heating furnace etc.The production operation scheme optimization of hot rolling determines because the production operation scheme of heating furnace is based on, so this optimization Algorithm object is hot rolling production operation scheme, its flow process as shown in Figure 8, concrete steps are:

Step 1. preferably separates current hot rolling production operation scheme S as history.Initial temperature T is set ₀=500, final temperature T _f=20, cooling coefficient a=0.97 is provided with iterations k=1, and makes T _k=T ₀, definition uses being numbered of neighborhood type of Inner-relocation 1 to move, and is about to certain locational slab and is inserted into other position; That uses neighborhood type that Swap moves is numbered 2, promptly exchanges two slabs on the diverse location;

If Step is 2. T _k＜T _f, the resulting best production operation of output algorithm, and withdraw from; Otherwise, change Step3;

Step 3. 1, produce a random number r among the 2}, it is the scale of r kind neighborhood that N (r) is set, the number of times i=0 of circulation in being provided with, and the current S of separating is set ₀=S.

Step 4. is for S ₀, in its neighborhood r, produce a neighborhood at random and separate S ', promptly to S ₀Use moving at random of a r neighborhood type, and i=i+1 is set, the variation delta f=f of calculating target function (S ')-f (S ₀), if Δ f＜0 makes S ₀=S ' changes Step4; Otherwise in [0,1], produce one and obey equally distributed random number ε, if exp (Δ f/T _k)＞ε then makes S ₀=S ', and change Step5;

If Step were 5. i＞N (r), would change Step 6; Otherwise, change Step 4;

If Step is 6. f (S ₀)＜f (S) then upgrades S=S ₀Make k=k+1, T _k=T _k* a changes Step 2.

Embodiment 3:

Present embodiment and embodiment 1 are roughly the same, difference only is that the intelligent optimization algorithm of heating furnace and hot rolling production operation integrated control method step 4 adopts change neighborhood search algorithm, utilizes change neighborhood search algorithm that initial production operation Integrated Solution is optimized and improves.

Based on initial heating furnace and hot rolling production operation scheme, utilize change neighborhood search algorithm that it is optimized and improves, with the burning time of further reduction hot rolling production cost, slab, the stand-by period of hot rolling and total working time of heating furnace etc., the production operation scheme optimization of hot rolling determines because the production operation scheme of heating furnace is based on, therefore this optimization Algorithm object is a hot rolling production operation scheme, its flow process as shown in Figure 9, concrete steps are:

Step 1. preferably separates current hot rolling production operation scheme S as history, iterations i=0 is set, maximum iteration time I _Max=100, what neighborhood type that Inner-relocation moves was used in definition is numbered 1, is about to certain locational slab and is inserted into other position; That uses neighborhood type that Swap moves is numbered 2, promptly exchanges two slabs on the diverse location;

If Step were 2. i＞I _Max, the resulting best production operation scheme of output algorithm, and withdraw from; Otherwise, i=i+1 is set, and current neighborhood type k=1 is set, and change Step3;

If Step is 3. k＞and 4, change Step 2; Otherwise, change Step 4;

Step 4. produces a neighborhood at random and separates S ' for S in its k neighborhood type, promptly S is used moving at random of a k neighborhood type; And the best neighborhood of searching for S ' in being numbered the neighborhood of k separates, and is designated as S "; If f (S ")＜f (S), put S=S ", and k=1 is set; Otherwise k=k+1 is set, changes Step 3.

Claims (2)

1. iron and steel enterprise's heating furnace and hot rolling production operation integrated control method is characterized in that: may further comprise the steps:

Step 1: determine the control target of hot rolling unit production run, and set up the needed process constraint condition of the normal operation of unit self;

For determining control target and constraints, set up hot rolling production operation model, the production operation system of hot rolling unit is described;

It is described that to set up the production operation model as follows:

Be provided with 1 hot rolling unit, the current milled sheet base set N={1 that treats, 2 ..., n}, the hot rolling production operation model description of foundation is as follows:

$\min \mathrm{imize}\underset{i=1}{\overset{n-1}{\mathrm{\&Sigma;}}}{c}_{x_i{x}_{i+1}}---\left(1\right)$

s.t.

In the formula, x _iBe decision variable, come the slab number of the slab of i position in the rolling order of expression hot rolling unit, i.e. x _i∈ N, i=1,2 ..., n;

Represent that specification and technology between the adjacent slab switches pairing production cost, the specification between the wherein adjacent slab comprises width, thickness, hardness, the rolling temperature of slab;

Represent total hot rolling production cost;

The constraints of model is as follows:

$|w_{x_i}-w_{x_{i+1}}|\&le;W_{\max },i=1,...,n-1---\left(2\right)$

$|g_{x_i}-g_{x_{i+1}}|\&le;G_{\max },i=1,...,n-1---\left(3\right)$

$p_{x_i}^{\min }\&le;i\&le;p_{x_i}^{\max },i=1,...,n---\left(4\right)$

$\left|{\mathrm{CUT}}_{x_i}\right|\&le;q_{x_i},i=1,...,n-1---\left(5\right)$

$\left|H_{x_i}\right|\&le;h,i=1,...,n-1---\left(6\right)$

x _i∈N，i＝1，...，n (7)

In the formula, constraint (2) and (3) is the technology and the production run constraints of system self, guarantees that respectively the width of adjacent slab and thickness jump in allowed limits,

With

Represent slab x respectively _iRolling width and thickness, W _MaxAnd G _MaxThe maximum of representing adjacent slab respectively allows width and thickness to jump; Constraint (4) guarantees slab x _iMust layout in the rolling position scope of regulation, p _i ^MinAnd p _i ^MaxRepresent slab x respectively _iMinimum in rolling unit and the maximum layout position that allows; The continuous layout amount of slab that constraint (5) guarantees to have identical type of cut can not surpass the maximum permissible value of the type defined Wherein Be illustrated in slab x _iBefore continuous rolling and with slab x _iThe set of the identical slab of type of cut; Constraint (6) guarantees that thickness can not surpass the maximum permissible value h that stipulates than the continuous layout amount of sheet slab, wherein

Be illustrated in slab x _iBefore continuous rolling and with slab x _iBelong to the slab set of thickness than sheet slab; Constraint (7) is decision variable x _iSpan;

Step 2: determine the control target of heating furnace operation production run, and set up the needed process constraint condition of the normal operation of heating furnace self;

According to the determined hot rolling production operation of step 1 scheme, set up heating furnace production operation model, the production operation system of heating furnace operation is described;

Described heating furnace production operation model is as follows: establishing given hot rolling production operation is S={s ₁, s ₂...., s _n, s wherein _iThe slab of the slab that is rolled i position of layout number in the expression rolling unit is established the individual identical parallel heating furnace of total M, and heating furnace operation production operation model description is as follows:

$\min \mathrm{imize}{w}_1\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}(e_i-b_i-h_i)+w_2\underset{i=2}{\overset{n}{\mathrm{\&Sigma;}}}{(e_i-e_{i-1}-r_{i-1})}^{+}+w_3(e_n-b_1)---\left(8\right)$

s.t.

In the formula, w _iRepresent the weight of each sub-goal in object function (8); First

Be the burning time of all slabs, wherein b _i, e _i, h _iRepresent the slab s of layout respectively i position _iThe minimum of going into stove time, the time of coming out of the stove and needing in the stove heating furnace time; Second

Be that the hot rolling unit is waited for total stand-by period that heating furnace goes out slab, wherein r _iThe expression layout is at the slab s of i position _iRolling time; The 3rd w ₃(e _n-b ₁) expression heating furnace net cycle time;

The constraints of model is as follows:

$\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}{x}_{\mathrm{im}}=1,i=1,...,n;m=1,...,M---\left(9\right)$

y _ij＝0，i，j＝1，...，n?and?i＞j (10)

|g _i-g _j|≤G′ _max+Q(1-y _ij)，i，j＝1，...，n (11)

b _i+t≤b _j+Q(1-y _ij)，i，j＝0，...，n (12)

e _i+t≤e _j+Q(1-y _ij)，i，j＝0，...，n (13)

b _j≥e _i+Q(z _ij-1)，i，j＝0，...，n (14)

e _i≥b _i+h _i，i＝2，...，n (15)

e _i≥e _i-1+r _i-1，i＝2，...，n (16)

x _im，y _ij，z _ij∈{0，1}，i，j＝0，...，n；m＝1，...，M (17)

b _i，e _i≥0，i＝0，...，n (18)

In the formula, constraint (9) guarantees each slab energy and can only be assigned to a heating furnace to heat, wherein x _ImExpression slab s _iThe shove charge scheme, if promptly with slab s _iM# heating furnace, x so pack into _Im=1, otherwise x _Im=0; The heating sequence of slab will be obeyed the slab hot rolling order that has woven, wherein y in constraint (10) the assurance heating furnace _IjExpression slab s _iAnd s _jNeighbouring relations in heating furnace are if i.e. slab s in heating furnace _jBe adjacent to slab s _iAfterwards, y so _Ij=1, otherwise y _Ij=0; Constraint (11) guarantees that the thickness of slab adjacent in the same heating furnace jumps at the permitted maximum range G ' of regulation _MaxIn, wherein Q is an enough big number, g _iAnd g _jRepresent slab s respectively _iAnd s _jThickness; Constraint (12) and (13) is the time relationship of adjacent slab turnover heating furnace, guarantees that heating furnace is first in first out when the heating slab, and wherein t is the slab turnover needed adjustment time of heating furnace; Constraint (14) is the self-operating constraint of heating furnace, guarantees that the maximum that heating furnace can heat simultaneously is L at stove slab number _m(m=1,2 .., M), z wherein _Ij=1 slab that is illustrated in same heating furnace heats slab s in the sequence _iAt slab s _jL before _mOn the individual position; Constraint (15) is the heating process requirement of slab self, guarantees just can come out of the stove each slab must be heated to required time in heating furnace after; Constraint (16) is the nothing buffering technological requirement between heating furnace and the hot rolling, guarantees to have only when hot rolling is idle next piece to want rolling slab to come out from heating furnace; Constraint (17) and (18) is decision variable b _iAnd e _iSpan constraint;

Step 3: determine the initial production operation scheme of hot-rolled process and the generation operation scheme of heating process;

According to the heating furnace production operation model of step 2, utilize the initial production operation scheme of also determining the heating furnace operation corresponding based on the heuritic approach of decision tree with the initial production operation of hot-rolled process;

Step 4: utilize intelligent optimization algorithm that initial hot-rolled process and heating furnace operation production operation Integrated Solution are optimized and improve;

Step 5: improved hot-rolled process and the production operation of heating furnace operation are estimated and analyzed: according to the production of heating furnace operation and hot-rolled process and operational procedure, production cost economic indicator, the heating furnace operation production operation after determine improving and the inharmonious factor of hot-rolled process production operation comprise the burning degree of slab in whether slick and sly in specification or technologic switching between the adjacent slab in coordination degree, hot rolling and the heating furnace of rhythm of production between hot rolling and the heating furnace, the heating furnace;

Step 6: will estimate with analysis result and feed back, and corresponding modification and adjustment are carried out in production operation;

Step 7:, then be handed down to hot rolling unit and heating furnace and carry out if revise and the realistic manufacturing technique requirent of adjusted production operation; Otherwise, as input, forward this production operation to step 4.

2. iron and steel enterprise's heating furnace and hot rolling production operation integrated control device is characterized in that: comprise data server, data acquisition unit, data processor, memory, optimized processor, production operation uploader, heating furnace Production Controller, hot rolling Production Controller, hot rolling unit and heating furnace;

Data server is connected by the TCP/IP network with data acquisition unit, heating furnace Production Controller, hot rolling Production Controller, production operation uploader, data acquisition unit is connected with memory with data processor respectively, data processor is connected with memory, memory is connected with optimized processor, optimized processor is connected with the production operation uploader with display respectively, the heating furnace Production Controller is connected with heating furnace, and the hot rolling Production Controller is connected with the hot rolling unit;

The real-time production information of heating furnace and hot rolling unit sends it to data processor in the data acquisition unit detection data server; Data acquisition unit is downloaded in the data server slab information to be processed in the slab storehouse simultaneously, and it is saved in the memory; Data processor to slab information to be processed in the real-time production information of heating furnace and hot rolling unit and the slab storehouse classify, format conversion, and it is saved in the memory; Optimized processor improves initial heating furnaceman preface production operation and hot-rolled process production operation, and production operation of initial heating furnaceman's preface and hot-rolled process production operation after improving are passed to data server by the production operation uploader; Data server passes to heating furnace Production Controller and hot rolling Production Controller respectively with production operation of improved heating furnace operation and hot-rolled process production operation; The work of heating furnace Production Controller control heating furnace; The work of hot rolling Production Controller control hot rolling unit.

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