CN103008358A - Optimization device, optimization method, and optimization program - Google Patents

Optimization device, optimization method, and optimization program Download PDF

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Publication number
CN103008358A
CN103008358A CN2011104138290A CN201110413829A CN103008358A CN 103008358 A CN103008358 A CN 103008358A CN 2011104138290 A CN2011104138290 A CN 2011104138290A CN 201110413829 A CN201110413829 A CN 201110413829A CN 103008358 A CN103008358 A CN 103008358A
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optimization
rolling
stocking
setting value
calculation procedure
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CN103008358B (en
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木原美怜
今成宏幸
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Toshiba Mitsubishi Electric Industrial Systems Corp
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Toshiba Mitsubishi Electric Industrial Systems Corp
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass

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Abstract

The optimization apparatus of the present invention optimizes the control of a rolling device so as to ensure the quality of rolled products, and minimizes optimization index needed to be minimized. The optimization apparatus comprises a setting calculation portion calculating the control set point used by a rolling device rolling rolled material, a material prediction calculation unit predicting the material of the rolled material rolled by the rolling device based on the setting control values calculated by the setting calculation unit, an optimizing index amount calculation portion which calculates the amount of optimized index of the rolled material rolled by the rolling device as an optimized index amount based on the setting of the control unit calculates the set value, and an optimizing portion. By the optimizing portion, the setting calculation portion calculates a following control setting value. The control value is set so that the material of the predicted estimation calculation section material meet the requirements of the external input range of the material, so that by the optimization index calculation unit calculates the minimum amount of optimization targets.

Description

Optimization device, optimization method, and optimizer
Technical field
The present invention relates in rolling equipment when stocking is rolled that control to rolling equipment is optimized so that not only guaranteed stocking product quality, but also make the optimization device of optimizing index amount minimum, optimization method, and optimizer.
Background technology
As the rolling equipment of rolled metal material, comprise the rolling equipment of the rolling equipment of rolling of sectional iron equipment, bar steel, wire rod of the thin plate equipment of hot rolling of making steel plate (hereinafter referred to as steel plate), heavy plate rolling equipment, cold-rolling equipment, iron and steel and aluminium, copper.
For example, the thin plate equipment of hot rolling is heated to about 1200 ℃ with the ferrous materials that heating furnace 101 will be called as the cuboid of slab, and by utilizing roughing mill to implement roughing, is web about 30～40mm thereby obtain thickness.At this moment, sometimes also utilize the web heater that web is heated up.Afterwards, the thin plate equipment of hot rolling will be rolled into through the web of roughing thickness 1.2～12mm in finishing mill.Then, the thin plate equipment of hot rolling is utilizing after water cooling unit is cooled to about 500～700 ℃, finally winds with as coiled material with winder winding.Here, when passing through each rolling operation, the call of slab can become web, coiled material etc. at every turn, but below, unify with the address that stocking is such.
Like this, the thin plate equipment of hot rolling transmits stocking on one side, heat with predetermined temperature with heating furnace on one side, and make it that larger distortion occur with milling train, thereby can guarantee certain quality, namely as the material of target, but in order to ensure higher quality, need to predict the material of product, and decide each controlling value in the thin plate equipment of hot rolling based on this prediction.
For example, in patent documentation 1, the material forecast Control Algorithm of following steel plate has been proposed: according to the steel actual sets score value before rolling and rolling after steel size (thickness, width, length) and steel material guarantee value (hot strength, yield point, toughness), obtain heating, rolling, the predetermined process conditions cooled off.
In addition, require high-quality on the one hand, on the other hand, if heat with high temperature, the energy that then consumes also can increase, still, consider that in the thin plate equipment of hot rolling, also strong hope can reduce energy consumption for the concern of the environmental problem of world today's property and the energy situation of Japan etc.
Thereby, for example, as conservation measures, generally be implemented in time of being rolled without milling train, be the power-economizing method that reduces the roller rotating speed in so-called idle running (idle) time.In addition, owing in milling train, having used the oil of a large amount of cooling waters, hydraulic system and the air of pressure fan, therefore, in the number of units of the pump that water, oil, air are provided to milling train was controlled or started, stops to control, general well-known existence tried hard to realize energy-conservation power-economizing method.
For example, in patent documentation 2, following milling method has been proposed: extract temperature to reaching heating furnace more than the AR3 transformation temperature corresponding with stocking chemical analysis separately, reduce the exit thickness in each path of roughing of power cost and the outlet temperature of the finishing mill more than the AR3 transformation temperature is set.
Patent documentation 1: No. 2509481 communique of Japanese Patent Laid
Patent documentation 2: the clear 58-119404 communique of Japanese Patent Laid-Open
Yet, in the milling method that patent documentation 2 is put down in writing, reach the above heating furnace extraction temperature of AR3 transformation temperature even utilize fine finishining outlet side temperature to be set as, in the situation that except phase transformation, has the key element of final material about other, sometimes also can't guarantee final material.
As the key element of final material about except phase transformation other, such as the recrystallization ratio in each path that has pair ultimate size to impact, in micro alloyed steel the solid solution element amount and separate out amount of element, and the metal structures such as size of precipitate change.Because these metal structures change the impact of the past experience till being subject to from heating furnace to the fine finishining outlet side, therefore, in order to ensure final material, need to consider that metal structure changes to set rolling condition.
Summary of the invention
The present invention finishes in view of the above problems, its purpose is, provides a kind of control to rolling equipment to be optimized so that can guarantee the product quality of stocking, can make the optimization device of wanting the optimization index amount minimum that is optimized, optimization method, and optimizer again.
In order to achieve the above object, the First Characteristic of optimization device involved in the present invention is, comprising: set calculating part, this setting calculating part calculates the control setting value that the rolling device rolling in-process stock is used; The material prediction section, this material prediction section is based on the control setting value that is calculated by described setting calculating part, to predicting through the material of the rolling stocking of described rolling device; Optimize index amount calculating part, this optimizations index amount calculating part is based on the control setting value that is calculated by described setting calculating part, and the amount that calculates the index that is optimized for the rolling described stocking of described rolling device is with as optimization index amount; And Optimization Dept., this Optimization Dept. makes described setting calculating part calculate following described control setting value, this control setting value is so that in the material of being predicted by described material prediction section satisfies the scope that requires material of outside input, make the optimization index amount that is calculated by described optimization index amount calculating part minimum.
In order to achieve the above object, the Second Characteristic of optimization device involved in the present invention is, described optimization index amount calculating part is based on the control setting value that is calculated by described setting calculating part, calculate the required energy of the rolling described stocking of described rolling device and namely use energy, with as optimizing the index amount.
In order to achieve the above object, the 3rd of optimization device involved in the present invention is characterised in that, described Optimization Dept. makes described setting calculating part calculate following described control setting value, this control setting value is so that satisfy the treating capacity that requires of outside input in the treating capacity by the rolling stocking of described rolling device, and the material of all stockings that are equivalent to described treating capacity of being predicted by described material prediction section satisfies in the scope that requires material of outside input, makes the stocking to being equivalent to described treating capacity that is calculated by described optimization index amount calculating part be rolled required optimization index amount minimum.
In order to achieve the above object, the First Characteristic of optimization method involved in the present invention is to have: set calculation procedure, this is set in the calculation procedure, calculates the control setting value that the rolling device rolling in-process stock is used; The material prediction steps is in this material prediction steps, based on the control setting value that is calculated by described setting calculation procedure, to predicting through the material of the rolling stocking of described rolling device; Optimize index amount calculation procedure, this is optimized in index amount calculation procedure, and based on the control setting value that is calculated by described setting calculation procedure, the amount that calculates the index that is optimized for the rolling described stocking of described rolling device is with as optimization index amount; And Optimization Steps, in this Optimization Steps, utilize described setting calculation procedure to calculate following described control setting value, this control setting value is so that in the material of being predicted by described material prediction steps satisfies the scope that requires material of outside input, make the optimization index amount that is calculated by described optimization index amount calculation procedure minimum.
In order to achieve the above object, the Second Characteristic of optimization method involved in the present invention is, in the described optimization index amount calculation procedure, based on the control setting value that is calculated by described setting calculation procedure, calculate the required energy of the rolling described stocking of described rolling device and namely use energy, with as optimizing the index amount.
In order to achieve the above object, the 3rd of optimization method involved in the present invention is characterised in that, in the described Optimization Steps, utilize described setting calculation procedure to calculate following described control setting value, this control setting value is so that satisfy the treating capacity that requires of outside input in the treating capacity by the rolling stocking of described rolling device, and the material of all stockings that are equivalent to described treating capacity of being predicted by described material prediction steps satisfies in the scope that requires material of outside input, makes the stocking to being equivalent to described treating capacity that is calculated by described optimization index amount calculation procedure be rolled required optimization index amount minimum.
In order to achieve the above object, the First Characteristic of optimizer involved in the present invention is, makes computer carry out following steps: set calculation procedure, this is set in the calculation procedure, calculates the control setting value that the rolling device rolling in-process stock is used; The material prediction steps is in this material prediction steps, based on the control setting value that is calculated by described setting calculation procedure, to predicting through the material of the rolling stocking of described rolling device; Optimize index amount calculation procedure, this is optimized in index amount calculation procedure, and based on the control setting value that is calculated by described setting calculation procedure, the amount that calculates the index that is optimized for the rolling described stocking of described rolling device is with as optimization index amount; And Optimization Steps, in this Optimization Steps, utilize described setting calculation procedure to calculate following described control setting value, this control setting value is so that in the material of being predicted by described material prediction steps satisfies the scope that requires material of outside input, make the optimization index amount that is calculated by described optimization index amount calculation procedure minimum.
In order to achieve the above object, the Second Characteristic of optimizer involved in the present invention is, in the described optimization index amount calculation procedure, based on the control setting value that is calculated by described setting calculation procedure, calculate the required energy of the rolling described stocking of described rolling device and namely use energy, with as optimizing the index amount.
In order to achieve the above object, the 3rd of optimizer involved in the present invention is characterised in that, in the described Optimization Steps, utilize described setting calculation procedure to calculate following described control setting value, this control setting value is so that satisfy the treating capacity that requires of outside input in the treating capacity by the rolling stocking of described rolling device, and the material of all stockings that are equivalent to described treating capacity of being predicted by described material prediction steps satisfies in the scope that requires material of outside input, makes the stocking to being equivalent to described treating capacity that is calculated by described optimization index amount calculation procedure be rolled required optimization index amount minimum.
According to optimization device of the present invention, optimization method and optimizer, can make the control of rolling equipment realize optimizing, so that both guaranteed the product quality of stocking, make again the optimization index amount of wanting to optimize become minimum.
Description of drawings
Fig. 1 is the structure chart of the structure of the expression hot rolling system of using the related optimization device of the first embodiment of the present invention.
Fig. 2 is the structure chart of the structure of the included CPU of the related optimization device of expression the first embodiment of the present invention.
Fig. 3 is a figure that example describes of energy that stocking is consumed.
Fig. 4 is the figure that an example of the energy that each equipment consumes is distinguished in expression.
Fig. 5 is the flow chart of the flow process of the processing undertaken by the related optimization device of the first embodiment of the present invention of expression.
Fig. 6 is the structure chart of the structure of the included CPU of the related optimization device of expression the second embodiment of the present invention.
Fig. 7 is the flow chart of the flow process of the processing undertaken by the related optimization device of the second embodiment of the present invention of expression.
Fig. 8 is illustrated in the figure that in the related optimization device of the second embodiment of the present invention each is optimized the example that the end that computes repeatedly in the situation that index selects, that be used for being optimized judges.
Fig. 9 is the flow chart of the expression handling process of being undertaken by the related optimization device of the 3rd embodiment of the present invention.
Label declaration
1,1A, 1B optimization device
31 set calculating part
32 material prediction and calculation sections (material prediction section)
33 energy calculating parts
34 Optimization Dept.s
35 optimize the index selection portion
36 optimize index amount calculating part
100 hot-rolling arrangements
101 heating furnaces
103 one-level descale machines
105 thick edging mills
107 roughing mills
The wide meter of 109 roughing outlet side plate
110 web heaters
111 roughing outlet side thermometers
113 fine finishining entrance side thermometers
115 cropping machines
117 secondary descale machines
119 finishing mills
121 fine finishining outlet side thickness of slab meters
123 multimeters
125 fine finishining outlet side thermometers
127 flatness meters
129 runout tables
131 up-coiler entrance side thermometers
The wide meter of 133 up-coiler entrance side plates
135 up-coilers
150 stockings
200 control device
300 hot rolling systems
The specific embodiment
Below, the embodiment of optimization device involved in the present invention is described with reference to accompanying drawing.
The＜the first embodiment 〉
＜＜structure〉〉
Fig. 1 is the structure chart of the structure of the expression hot rolling system of using the related optimization device of the first embodiment of the present invention.
As shown in Figure 1, hot rolling system 300 comprises the related optimization device of the first embodiment 1, stocking is carried out the hot-rolling arrangement 100 of hot rolling and the control device 200 of control hot-rolling arrangement 100, and optimization device 1 is connected with control device 200.Arrow among Fig. 1 is illustrated in the direction of transfer that in the hot-rolling arrangement (hot rolling line) rolling stocking 150 is transmitted.Generally speaking, stocking 150 is also referred to as slab (slab), web (bar), coiled material in the rolling process in hot-rolling arrangement, but here, the unified stocking 150 that is called.
As shown in Figure 1, hot-rolling arrangement 100 comprises heating furnace 101, one-level descale machine 103, thick edging mill 105, roughing mill 107, the wide meter 109 of roughing outlet side plate, web heater 110, roughing outlet side thermometer 111, fine finishining entrance side thermometer 113, cropping machine 115, secondary descale machine 117, finishing mill 119, fine finishining outlet side thickness of slab meter 121, multimeter 123, fine finishining outlet side thermometer 125, flatness meter 127, runout table 129, up-coiler entrance side thermometer 131, the wide meter 133 of up-coiler entrance side plate, and up-coiler 135.
Heating furnace 101 is be used to the stove that adds hot rolling material 150.
One-level descale machine 103 removes the oxide-film that the heating because of heating furnace 101 forms on stocking 150 surfaces by the above-below direction inject high pressure water from stocking 150.
From the upper surface direction of hot rolling line, thick edging mill 105 is rolled along the width of stocking 150.
Roughing mill 107 comprises single or multiple frames, is rolled along the above-below direction of stocking 150.In addition, from preventing the viewpoint of drop in temperature etc., roughing mill 107 needs to shorten the production line length, and need to utilize mulitpath (back and forth movement on direction of transfer) to be rolled, and consists of thereby mostly comprise reversible mill.In addition, roughing mill 107 comprise for to as half-finished stocking 150 inject high pressure water to remove the descale machine of oxide-film on surface.Owing at high temperature being rolled, therefore easily form oxide-film, need suitably to use the device that is used for removing this oxide-film.
109 pairs of wide mensuration of plate as the half-finished stocking 150 in rolling of the roughing outlet wide meter of side plate.
110 pairs of the web heaters stocking 150 after roughing mill 107 is rolling is heated.
111 pairs of surface temperatures as the half-finished stocking 150 in rolling of roughing outlet side thermometer are measured.
Because the distance between roughing mill 107 and the finishing mill 119 is longer, therefore, 113 pairs in fine finishining entrance side thermometer is positioned at the surface temperature of stocking 150 of the porch of finishing mill 119 and measures.
Cropping machine 115 cuts off the end, front and back of stocking 150.
Because the distance between roughing mill 107 and the finishing mill 119 is longer, therefore, secondary descale machine 117 is arranged on the entrance of finishing mill 119, in order to improve the surface characteristic of the stocking 150 after the finish rolling, remove the oxide-film that forms by stocking 150 surfaces after the roughing by the above-below direction inject high pressure water from stocking 150.
Finishing mill 119 adopts and is provided with the tandem that multiple row is called as the roll of frame, is rolled along the vertical direction by utilizing a plurality of rolls, thereby can obtains the stocking 150 of target thickness of slab.Form in order to suppress oxide-film, and in order to carry out temperature control, between the frame of this finishing mill 119 and frame, include injector.
The thickness of slab of the stocking 150 after 121 pairs of fine finishining outlet side thickness of slab meters are rolling by finishing mill 119 is measured.
As a kind of multimeter (Multi-Channel Gauge) the 123rd of X ray analyzer, following compound analyzer: adopt the mode that the detector of X ray is arranged along the width of stocking 150, the thickness of slab that can measure on the width distributes, thereby can utilize an analyzer to measure the kinds of processes values such as thickness of slab, convexity (crown), plate be wide.
The surface temperature of the stocking 150 after 125 pairs in fine finishining outlet side thermometer is rolling by finishing mill 119 is measured.Formation and the material of the temperature of stocking 150 and the metal structure of product are closely related, need management to reach suitable temperature.
The flatness by stocking 150 after 127 pairs of flatness meters are rolling by finishing mill 119 is measured.In addition, flatness meter 127 comprises a plurality of ccd video cameras, and the plate that can also measure stocking 150 is wide.
Runout table 129 is to utilize cooling water stocking 150 to be cooled off to control the device of the temperature of stocking 150.To this, except common runout table cooling device, sometimes also comprise forced cooling device in front and back.
131 pairs of surface temperatures by runout table 129 cooled stockings 150 of up-coiler entrance side thermometer are measured.Formation and the material of the temperature of stocking 150 and the metal structure of rolled products are closely related, need management to reach suitable temperature.
133 pairs of wide mensuration of plate by runout table 129 cooled stockings 150 of the wide meter of up-coiler entrance side plate.Common rolling in because the stocking 150 that is heated to the austenitic area becomes the tissues such as ferrite, pearlite mutually in runout table 129, therefore, the plate of measuring after the phase transformation is wide.In addition, owing to being about about 860 ℃ at finishing mill 119 outlet sides, being about about 600 ℃, therefore at up-coiler 135 entrance sides, by more measuring under the state near room temperature, thus can be wide in assay plate under that cause because of linear expansion and the less state of error room temperature.
Up-coiler 135 reels to transmit stocking 150.
200 pairs of stockings of control device 150 carry out the control of size Control and temperature, with as the quality control for the quality of the stocking 150 of guaranteeing to become product.
Control device 200 is controlled the flatness control of stretching, extension of the width of the wide wide control of plate of thickness of slab control, the control panel of thickness of slab of width central portion of stocking 150, strip crown control that control width thickness of slab distributes, control stocking 150, with as size Control.
In addition, control device 200 is controlled the fine finishining outlet temperature control of fine finishining milling train 119 outlet temperatures and the coiling temperature control of the temperature before the control up-coiler 135, to control as temperature.
When determining the product quality of stocking 150, importantly calculate setting calculating and the quality control of control setting value.In setting calculating, for example, before stocking 150 is nipped roughing mill 107 and finishing mill 119, in initial calculation, calculate in advance roll gap, the roller speed of roll, guarantee thus stable logical plate.Need to suitably carry out in advance initial setting and the temperature controlled initial setting of reeling of the cooling water of finishing mill 119.
For example, in the wide control of plate, the external disturbance as hindering the thickness of slab precision to improve has the temperature change of stocking 150.Stocking 150 by heating furnace 101 heating the such low temperature part of slideway black mark (skid mark) occurs because of the structure of heating furnace 101 sometimes.Because this low temperature part hardening, so the thickness of slab thickening, and plate is wide also changes.
Here, the temperature of stocking 150 and the relation of quality are described.If in heating furnace 101, stocking 150 is not fully heated, then slideway black mark can obviously appear, and on the direction of transfer of stocking 150 cycle with slideway black mark thickness deviation appears.
Particularly, use micro alloyed steel with the situation as the material of stocking 150 under, can worry because the variation of the extraction temperature of extracting from heating furnace 101, and the effect of the microalloy that can't obtain to expect.Micro alloyed steel is to add the microalloy take niobium and vanadium as representative and make the steel of organizing after the miniaturization.Intensity, toughness, weldability, processability that the slab that uses in take boats and ships and pipeline as main purposes and hot-strip are had relatively high expectations.
For taking into account this intensity and low-temperature flexibility, it is effective making and organizing miniaturization, and use TMCP (Thermo-Mechanical Control Process: also be effective heat engine tool control technique), this TMCP is by adopting suitable hot-rolled condition to adjust austenitic state (controlled rolling), and after the controlled rolling in austenitic iron oxysome phase transition temperature zone chilling (control cooling), thereby make ferrite organize miniaturization.
Microalloy take niobium and vanadium as representative increases the effect of TMCP.Have as its effect is known, such as in the heating process of heating furnace 101 grades, utilize pinning (pinning) effect of precipitate can suppress the growth of crystal grain.In addition, in the rolling process of roughing mill 107 and finishing mill 119 etc., because the pinning effect that utilizes the solute of solid solution element to pull the precipitate of (solute drag) effect, processing suppresses to recover and recrystallization, therefore can promote ferritic intragranular to separate out, can make the miniaturization of ferrite grain.And, in the refrigerating work procedure of runout table 129 grades, utilize the precipitation strength of precipitate, improve the intensity of final products etc.
Like this, although be widely used micro alloyed steel, can worry in the situation that fully heating, can't fully obtain the solid solution capacity of microalloy, the solute drageffect of solid solution microalloy reduces; And after extracting, rolling in and the amount of separating out in the cooling reduce, the pinning effect of precipitate reduces.
In addition, in the situation that the stocking 150 to low temperature is rolled, owing to be that hard material is rolled, so the rolling power of roughing mill 107 and finishing mill 119 need to be larger, the energy consumption that drives the drive unit of roughing mill 107 and finishing mill 119 increases.
And in recent years, on the one hand the client is more strict to the desired standard of the rolled products of stocking 150, especially except the size shape of rolled products, the engineering properties such as intensity and ductility is in the permissible range on the other hand.Take iron and steel in main metal material, the engineering properties such as intensity (yield stress, tolerance, hardness etc.), toughness (brittle transition temperature etc.), formability (r value etc.) not only change according to its alloy compositions, but also according to heating condition, processing conditions, and cooling condition change.The adjustment of alloy compositions is to be undertaken by the addition of controlling component element, but when adjusting component, use the adjustment of formula stove of the molten steel about can keeping such as 100 tons etc., the unit of such batch is larger, and it is very difficult that each products of each products of about 15 tons is changed addition.Thereby, in order to make the product of desired material, importantly make material with suitable heating condition, processing conditions and cooling condition, namely realize the materials such as engineering properties as target.
On the other hand, consider for concern and the day by day raising of care of the environmental problem of world today's property, reduce (to be designated as CO with carbon dioxide 2) for the greenhouse gases of representative also very important.
As mentioned above, as energy-conservation practical step, for example to be included in the time that roughing mill 107 and finishing mill 119 be not rolled be in so-called idle running (idle) time, reduce the roller rotating speed to save the method for electric energy.In addition, owing to using a large amount of cooling waters, the oil of hydraulic system, the air of pressure fan in roughing mill 107 and the finishing mill 119, therefore in the number of units control of the pump that water, oil, air are provided to roughing mill 107 and finishing mill 119 with start, stop in the control, also consider to try hard to energy-conservation.
In addition, in the hot-rolling arrangement 100 employed energy, fuel energy accounts for 60%, compares greatly with 34% of electric energy.Therefore, be effective for the energy-conservation gross energy for consuming in the hot-rolling arrangement 100 that carries out fuel energy energy-conservation.Fuel energy mainly consumes in heating furnace 101.Therefore, in order to try hard to realize fuel energy energy-conservation in the heating furnace 101, be conceived to the effect that heating furnace 101 controls larger.
Therefore, the related optimization device 1 of the first embodiment is connected with the control device 200 of control hot-rolling arrangement 100, the control that this optimization device 1 carries out 200 pairs of hot-rolling arrangements of control device 100 realizes optimizing, so that both can guarantee the product quality of the stocking 150 after rolling by hot-rolling arrangement 100, make again centered by heating furnace 101 the use energy in hot-rolling arrangement 100 minimum.
As shown in Figure 1, optimization device 1 comprises CPU11, ROM12, RAM13, input part 14, display part 15 and hard disk 16, connects via bus 20 respectively.
ROM12 is made of nonvolatile semiconductor etc., stores the performed operating system of CPU11 and optimizer.
RAM13 is made of volatile semiconductor etc., temporarily stores CPU11 and carries out the required data of various processing.
Hard disk 16 stores CPU11 and carries out the required information of optimizer.
CPU11 is optimized the pass key control of device 1.
Fig. 2 is the structure chart of the structure of the included CPU11 of the related optimization device of expression the first embodiment of the present invention 1.
As shown in Figure 2, CPU11 carries out optimizer, thereby comprises setting calculating part 31, material prediction and calculation section 32, energy calculating part 33 and Optimization Dept. 34 in its function.
Setting 31 pairs of calculating parts is used for control setting value stable and accurately rolling in-process stock 150, is that rolling job parameter etc. after heating furnace condition and heating furnace extract is calculated.
For example, set in the calculating part 31, size and the weight of the stocking 150 under the outside input normal temperature are in the situation that with its heating furnace 101 and rise to desirable extraction temperature of packing into, carry out heating furnace and set and calculate, namely calculate should be in the atmosphere temperature in several years in stove several hours.
In addition, set calculating part 31 and carry out setting calculating.For example, set calculating part 31 according to size and the temperature of the stocking 150 that extracts from heating furnace 101, the rolling model that use is set up by mathematical expression predicts rolling load, deformation drag, rolling torque, rolling power etc., to calculate the fine finishining outlet side mill speed setting value that sets value as the control that is used for stable rolling, roll gap setting value etc.
And, set the calculated value of the acceleration and deceleration of calculating part 31 and stocking 150 long according to the stocking material, from heating furnace 101 beginnings until with the coiling end of up-coiler 135, the position of the imaginary stocking in each moment is predicted.Then, setting calculating part 31 uses and has considered with the heating in the radiation of surrounding atmosphere, cross-ventilation, cooling water convection current, phase transformation, the processing of the thermal balance of stocking 150, to the temperature model of the heat transfer of roller etc., and according to heating furnace extraction temperature and fine finishining outlet side target temperature and coiling target temperature, set one-level descale machine 103, secondary descale machine 117, finishing mill 119, reach the injector of runout table 129, and calculate the temperature of the stocking 150 at each place, place.
32 pairs of utilizations of material prediction and calculation section are predicted by the material of setting the stockings such as engineering properties 150 such as yield stress in the situation that control setting value that calculating part 31 calculates is rolled, after reeling and hot strength.For example, material prediction and calculation section 32 is according to metal structure information and chemical constituent, to predicting take engineering properties such as yield stress and hot strength etc. as the material of representative.As an example, to some extent record in the P125 of the 173rd, 174 Western Hills souvenir technology lecture " the tissue variation of hot-strip and the prediction of material " ((company) Japanese iron and steel institute periodical).
In the metal structure behind the coiling, comprise each phase volume rate of ferrite particle diameter, ferrite, pearlite, bainite, martensite etc., comprise austenite particle diameter etc. as intermediate data.Therefore, material prediction and calculation section 32 is according to predicted values such as the chemical constituent of stocking and the temperature when setting rolling that calculating part 31 calculates, load, and uses the model with metallurgical phenomenon formulism, predicts the variation of metal structure.
In this model with metallurgical phenomenon formulism, proposed various schemes, well-known is the model that is made of the mathematical expression group that represents static recovery, static recrystallization, dynamically recovery, dynamic recrystallization, grain growth etc.As an example, in Technology of Plastic Processing series 7 plates rolling (corona company) P198～229, disclosed an example.Thus, can grasp particle diameter, ferrite, pearlite, bainite, martensitic volume fraction etc.
Energy calculating part 33 is according to the result of calculation of setting calculating part 31, and the stocking 150 that calculates calculating object is rolled required energy.
Fig. 3 is a figure that example describes of energy that stocking 150 is consumed.
As shown in Figure 3, the energy 201 that stocking 150 is consumed is divided into heat energy 202, machining energy 203, transmits energy 204, sprays energy 205.
Heat energy 202 comprise when utilizing 101 pairs of stockings 150 of heating furnace to heat the heating consumed energy 206 that consumes and one-level descale machine 103, secondary descale machine 117, finishing mill 119, and runout table 129 in the cooling consumed energy 207 that consumes when stocking 150 carried out air cooling and utilize injector to carry out water-cooled.Stocking 150 be rolled and the process cooled off in energy in the situation that the inside of stocking 150 undergoes phase transition be also contained in the heat energy 202.In addition, the energy in the situation that web heater 110 grades heat stocking 150 that midway utilizes at rolling line is also contained in the heat energy 202.
Machining energy 203 is the energy that consume when in thick edging mill 105, roughing mill 107, finishing mill 119 stocking 150 being deformed.
Transmitting energy 204 is the energy that utilize transfer roller to consume when rolling line transmits stocking 150.
Energy when spraying energy 205 and be the water that utilizes in the descale machines such as one-level descale machine 103, secondary descale machine 117 and spraying to remove oxide skin.
Fig. 4 is the figure that an example of the energy that each equipment consumes is distinguished in expression.
Among Fig. 4, the energy that the energy that consumes with rolling directly related equipment in the rolling line and the drive unit that drives this equipment consume is distinguished to illustrate.
As shown in Figure 4, in the heating furnace 101, the fossil fuels such as most combusting heavy oil and natural gas, consume fuel energy 310.In the web heater 110, utilize eddy-current heating to heat, consume electric energy 311.In the runout table 129, the water-cooled that the cooling water that carrying out air cooling and utilization provides from header tank carries out.Mostly use recirculated water for cooling water, the water conservancy of using in the cooling reclaims with pit, through the process of filtering and cooling off, again uses in cooling.Use pump to draw water to header tank from chilled water tank.Therefore, in the descale machines such as the injector of runout table 129, finishing mill 119 etc., one-level descale machine 103, secondary descale machine 117, comprise pump drive motor 301, the pump that carries out for pump drive motor 301 drives and the consumption electric energy.
In roughing mill 107 and the finishing mill 119, owing to utilizing milling train drive motor 302 to drive roller, therefore consume electric energy.
Also need electric power when transmitting stocking 150, driving transmission with in the roller-way drive motor 303 of roller-way, consume electric energy.
Energy calculating part 33 calculates rolling required energy as following.
At first, the energy that as following stocking is consumed in heating furnace 101 calculates.For example, be warming up to 1230 ℃ if establish the stocking 150 of 15 tons of weight from normal temperature (30 ℃), if the specific heat of iron and steel is made as 0.5kJ/kg/K, then this stocking 150 is subject to the heat energy of 9,000,000kJ (=0.5 * 1,200 * 15,000).
Energy calculating part 33 calculates the direct required energy of the intensification of stocking 150 according to specific heat, initial temperature, final temperature, weight.In the situation that the stocking 150 in the heating furnace 101 is heated, atmosphere temperature is risen, owing to the decrease in efficiency that exists heat to cause from wall escape etc., the energy that therefore directly consumes except the intensification that comprises stocking 150 also comprises indirectly required energy in addition.Many stockings 150 are arranged in the heating furnace 101, and required energy is the energy relevant with all these stockings indirectly.
Therefore, energy calculating part 33 will be taken into account at stove radical, the size of plate blank of stocking 150, time inside furnace, to each root of the stocking 150 of a certain calculating object indirectly required energy calculate.In the heating furnace 101 required energy be with the intensification of above-mentioned stocking 150 directly required fuel energy and stocking 150 each root indirectly required fuel energy carry out energy after the addition.
Similar with the heat energy that consumes in the heating furnace 101, energy calculating part 33 is according to specific heat, initial temperature, final temperature, weight, and the energy that stocking 150 is consumed in web heater 110 calculates.The consumption of the electric energy that the conversion efficiency from electric energy to heat energy is taken into account is the required energy of eddy-current heating the web heater 110.
Next, for example as following, the energy required to the cooling in the runout table 129 calculates energy calculating part 33.
Cooling in the runout table 129 is by carrying out with the water that temporarily is stored in the header tank.This header tank is arranged on the top of the position that is provided with rolling line, utilizes this alternate position spike to provide water to each injector.Therefore, must use pump etc. temporarily water to be extracted into header tank.
If what energy calculating part 33 will set that calculating part 31 calculates is made as C in each injector quantity [radical] of constantly setting opening for, with the cooling water flow [m of each injector ejection 3/ H] be made as FS, then according to C and FS, use following (mathematical expression 1), calculate the total amount FT[m of the cooling water that uses in the runout table 129 3].
FT=∫ (the dt (mathematical expression 1) of C * FS)
Then, energy calculating part 33 is according to the total amount FT[m of the cooling water that calculates 3], the stocking 150 of calculating object and as before chilling room between the stocking 150 of the front stocking that just transmitted every T[H] and the cooling of front stocking when finishing in case the remaining water yield [m 3], calculate the speed of the drawing water [m of pump 3/ s].The electric energy that consume this moment in motor can go out according to the property calculation of pump and motor, and this namely is the required energy of cooling in the runout table 129.
Energy calculating part 33 is for example in each situation of the pump operation the when pump operation when spraying and idle running, and the electric energy that calculating motor consumes by with its addition, thereby calculates descale machine and the required energy of injector.
Next, the energy of the machining of 33 pairs of stockings 150 of energy calculating part need calculates.The processing of stocking 150 and be out of shape required energy and mainly in rolling-mill housing, consume.Phenomenon in the rolling-mill housing is explained by the rolling die pattern of setting in the calculating part 31.That is, energy calculating part 33 is according to characteristic and the material temperature of stocking 150, and the calculated deformation resistance calculates rolling load according to deformation drag, comes the required rolling torque of distortion of Calculating material according to rolling load.The torque that motor will be exported becomes rolling torque is added value after loss torque and the accelerating torque.
Energy calculating part 33 uses following (mathematical expression 2) and (mathematical expression 3) to calculate the required electric energy E (J) of motor.Here, power is made as P[W], torque is made as T[Nm], rotating speed is made as V[rad/s], will the time be made as t[H].
P=T * V (mathematical expression 2)
E=P * t (mathematical expression 3)
And the rolling required torque of 33 pairs of stockings 150 of energy calculating part is predicted, determines fine finishining outlet side mill speed, calculates rolling time according to the length of stocking 150 on direction of transfer.Then, energy calculating part 33 is according to the electric energy E[J that calculates] and rolling time, calculate the rolling required electric energy [during kJ=kW] of stocking 150, the energy that needs with the machining as stocking 150.
Next, the required electric energy of transmission of 33 pairs of stockings 150 of energy calculating part calculates.Because stocking 150 is shared by multiple motors and being transmitted, so energy calculating part 33 calculates torque for 1 motor according to the weighing scale of the stocking 150 of sharing, and calculates the delivery time according to length and the transfer rate of stocking 150.Then, energy calculating part 33 is according to this torque and delivery time, and uses above-mentioned (mathematical expression 2) and (mathematical expression 3), calculates the required electric energy [kJ] of transmission of stocking 150.In addition, also to add at the required electric energy of the interior transmission stocking of heating furnace 101 150 the required electric energy of the transmission of stocking 150.
Then, energy calculating part 33 calculates required fuel energy in each above-mentioned equipment is added energy behind the electric energy, with the rolling required gross energy as stocking 150.
Rolling job parameter after 34 pairs of heating furnace conditions of Optimization Dept. and heating furnace extract is optimized, and has both guaranteed final material, reduces again energy consumption.Particularly, Optimization Dept. 34 makes and sets the following control setting value that calculating part 31 calculates hot-rolling arrangement 100, this control setting value is so that in the material of being predicted by material prediction and calculation section 32 satisfies the scope that requires material of outside input, and the rolling required gross energy of the stocking 150 that is calculated by energy calculating part 33 is minimum.
＜＜effect〉〉
Effect to the related optimization device 1 of the first embodiment of the present invention describes.
Fig. 5 is the flow chart of the flow process of the processing carried out of expression the first embodiment of the present invention related optimization device 1.
As shown in Figure 5, at first, set calculating part 31 and determine whether the initial value (step S101) that heating furnace condition and rolling job parameter are provided from the outside.Here, as an example, enumerating provides heating furnace to extract temperature to describe as example as heating furnace condition, situation that the rolling job parameter of fine finishining outlet side mill speed after to extract as heating furnace be provided.In addition, the initial value that extracts temperature and fine finishining outlet side mill speed also can adopt following method to obtain: such as the form stores that will be distinguished by steel grade and fine finishining target thickness of slab etc. in advance in ROM12, set calculating part 31 according to ROM12, the heating furnace corresponding with the steel grade that provides from the outside and fine finishining target thickness of slab is provided extracts temperature and fine finishining outlet side mill speed.
Next, set calculating part 31 and carry out heating furnace setting calculating (step S102).Particularly, set calculating part 31 according to size and the weight of the stocking 150 under the normal temperature, calculate for stocking 150 is heated to heating furnace extract temperature, should be in heating furnace 101 in stove several hours.
Then, set calculating part 31 and carry out setting calculating (step S103).Particularly, set other rolling conditions such as roll gap setting value that calculating part 31 calculates stable rolling, so that in the situation that the initial value that temperature and fine finishining outlet side mill speed are provided with the heating furnace that provided is rolled, reach stocking 150 the thickness as target, width, fine finishining outlet side temperature, and up-coiler before temperature.In addition, set calculating part 31 according to the calculated value of the acceleration and deceleration of stocking material length and stocking, from heating furnace 101 beginnings until with the coiling end of up-coiler 135 position of each imaginary stocking is constantly predicted, use has been considered the radiation towards surrounding atmosphere of the thermal balance of stocking 150, cross-ventilation, the cooling water convection current, phase transformation, heating in the processing, temperature model to heat transfer of roller etc., and according to heating furnace extraction temperature and fine finishining outlet side target temperature and coiling target temperature, set one-level descale machine 103, secondary descale machine 117, finishing mill 119, reach the injector of runout table 129, and calculate the temperature of the stocking 150 at each place, place.
Next, material prediction and calculation section 32 carries out material prediction and calculation (step S105).Particularly, 32 pairs of utilizations of material prediction and calculation section are predicted by the material of setting the stockings such as engineering properties 150 such as yield stress in the situation that control setting value that calculating part 31 calculates is rolled, after reeling and hot strength.Here, as material, enumerate the hot strength (TS after prediction is reeled Cal) describe for example.
The materials material (step S107) that whether meets the demands is judged by Optimization Dept. 34.Particularly, the predicted value (TS of the hot strength that calculates judges in Optimization Dept. 34 Cal) whether be the predetermined material (TS that requires Th) more than.
Among the step S107, in the situation that be judged to be the material that do not meet the demands (no situation), Optimization Dept. 34 determines whether to be in and computes repeatedly limited number of times with interior (step S109).This is computed repeatedly limited number of times presets as counting arbitrarily.
Among the step S109, compute repeatedly limited number of times with interior (situation that is) in the situation that be judged to be to be in, Optimization Dept. 34 will change as the fine finishining outlet side mill speed of rolling job parameter the size (step S111) of Δ Vm/s.
On the other hand, compute repeatedly limited number of times (no situation) in the situation that be judged to be to have surpassed, Optimization Dept. 34 will extract as the heating furnace of heating furnace condition the size (step S113) of T ℃ of temperature change Δ.
Like this, setting calculating part 31, material prediction and calculation section 32, Optimization Dept. 34 change Δ V and Δ T on one side, compute repeatedly on one side, thus offhand decision as the heating furnace of heating furnace condition extract temperature, as the fine finishining outlet side mill speed of rolling job parameter.
On the other hand, among the step S107, in the situation that be judged to be the material material (situation that is) that meets the demands, energy calculating part 33 extracts temperature, fine finishining outlet side mill speed, reaches the rolling condition that calculates by setting calculating part 31 according to the heating furnace target, calculates the gross energy (step S115) that consumes in the hot-rolling arrangement 100.
Next, Optimization Dept. 34 reduction whether enough little (step S117) of judging the gross energy that is calculated by energy calculating part 33.Particularly, the energy requirement last computation result of institute [kJ] is made as En-1, institute's this result of calculation of energy requirement [kJ] is made as En, and establishes threshold epsilon, determine whether and satisfy following (mathematical expression 4).Here, threshold epsilon is preseted for example become 0.01.
| En-1-En |/En＜threshold epsilon (mathematical expression 4)
Among the step S117, not that Optimization Dept. 34 determines whether to be in and computes repeatedly limited number of times with interior (step S119) in the enough little situation (no situation) in the reduction that is judged to be the gross energy that is calculated by energy calculating part 33.
Among the step S119, compute repeatedly limited number of times with interior (situation that is) in the situation that be judged to be to be in, Optimization Dept. 34 will change as the fine finishining outlet side mill speed of rolling job parameter the size (step S121) of Δ V m/s.
On the other hand, among the step S117, in the enough little situation of the reduction that is judged to be the gross energy that is calculated by energy calculating part 33 (situation that is), whether the reduction that the gross energy that is calculated by energy calculating part 33 is further judged by Optimization Dept. 34 enough little (step S123), not that Optimization Dept. 34 determines whether to be in and computes repeatedly limited number of times with interior (step S125) in the enough little situation (no situation) in the reduction that is judged to be the gross energy that is calculated by energy calculating part 33.
Among the step S125, compute repeatedly limited number of times with interior (situation that is) in the situation that be judged to be to be in, Optimization Dept. 34 will extract as the heating furnace of heating furnace condition the size (step S127) of T ℃ of temperature change Δ.
On the other hand, among the step S125, compute repeatedly limited number of times (no situation) in the situation that be judged to be to have surpassed, Optimization Dept. 34 select to meet the demands heating furnace condition and the rolling job parameter (step S129) of material and energy input minimum.
As mentioned above, the optimization device 1 that first embodiment of the invention is related, owing to setting calculating part 31, material prediction and calculation section 32, energy calculating part 33, Optimization Dept. 34 changes Δ V and Δ T on one side, compute repeatedly on one side, thereby make setting calculating part 31 calculate following control setting value, this control setting value is so that in the material of being predicted by material prediction and calculation section 32 satisfies the scope that requires material of outside input, make the gross energy that calculated by energy calculating part 33 minimum, therefore can determine guarantee stocking 150 require material in, make the rolling condition of the gross energy minimum of consumption.
That is, the optimization device 1 that first embodiment of the invention is related, owing to comprising: set calculating part, this setting calculating part calculates the control setting value that the rolling device rolling in-process stock is used; The material prediction section, this material prediction section is based on the control setting value that is calculated by the setting calculating part, to predicting through the material of the rolling stocking of rolling device; Optimize index amount calculating part, this optimizations index amount calculating part is based on by the control setting value of setting calculating part and calculating, and the amount that calculates the index that is optimized for the rolling device rolling in-process stock is with as optimization index amount; And Optimization Dept., this Optimization Dept. makes the setting calculating part calculate following control setting value, this control setting value is so that in the material of being predicted by the material prediction section satisfies the scope that requires material of outside input, make the optimization index amount minimum that calculates by optimizing index amount calculating part, therefore can make the control of rolling equipment realize optimizing, so that both guaranteed the product quality of stocking, make again and want the optimization index amount optimized minimum.
In addition, the optimization device 1 that first embodiment of the invention is related, to extract temperature, reach the fine finishining outlet side mill speed as rolling job parameter about the heating furnace as the heating furnace condition, calculate the control setting value, so that in the scope of material that meets the demands, gross energy is minimum, but is not limited to this.
For example, as the heating furnace condition, also can be made as the heating-up temperature of web heater 110, as rolling job parameter, also can be made as at least one parameter in the thickness of slab of the load distribution in rolling number of path, each path of cooling condition, roughing mill 107 or the finishing mill 119 of runout table 129 and stocking 150.
In addition, the optimization device 1 that first embodiment of the invention is related has been enumerated hot strength as the material that requires that will satisfy, but has been not limited to this, also can be yield stress, brittle transition temperature, r value, hole expansibility etc. and their combination.
In addition, in the first embodiment, enumerating the hot rolling system 300 that comprises hot-rolling arrangement 100 is illustrated for example, but be not limited to this, also applicable to the rolling system of the rolling equipment of the rolling equipment of the rolling of sectional iron equipment that comprises thin plate equipment of hot rolling, heavy plate rolling equipment, cold-rolling equipment, iron and steel, bar steel, wire rod or aluminium, copper.
The＜the second embodiment 〉
In the first embodiment, enumerate following optimization device 1 for example is illustrated, this optimization device 1 calculates control setting value, the material so that the material of stocking 150 meets the demands, and if realizing the index of optimizing, rolling required energy namely optimizes index, so that it is minimum to optimize index.
Yet, optimize index and be not limited to energy, can be according to factory, activity duration, steel grade etc. and different.Therefore, for example also can use fuel energy, electric energy, the energy consumption per unit of output value, cost, unit output value cost, the rolling CO that discharges 2Amount, the peak power when rolling replace rolling required gross energy with as the optimization index.
In the second embodiment, enumerating following optimization device is that example describes, and this optimization device selects to optimize index, calculates the control setting value, the material so that the material of stocking 150 meets the demands, and the optimized amount of selected optimization index is optimized.
The related optimization device 1 of the optimization device 1A that the second embodiment is related and the first embodiment shown in Figure 1 is similar, is connected with the control device 200 of control hot-rolling arrangement 100.
In addition, the related optimization device 1A of the second embodiment comprises CPU11A, ROM12, RAM13, input part 14, display part 15 and hard disk 16.Wherein, for ROM12, RAM13, display part 15 and hard disk 16, because the structure that marks respectively same numeral that comprises with the related optimization device 1 of the first embodiment is identical, therefore description thereof is omitted.
Fig. 6 is the structure chart of the structure of the included CPU11A of the related optimization device 1A of expression the second embodiment of the present invention.
As shown in Figure 6, CPU11A comprises and sets calculating part 31, material prediction and calculation section 32, Optimization Dept. 34, optimizes index selection portion 35 and optimize index amount calculating part 36 on its function.Wherein, for setting calculating part 31, material prediction and calculation section 32 and Optimization Dept. 34, because the structure that marks respectively same numeral that comprises with the related optimization device 1 of the first embodiment is identical, therefore description thereof is omitted.
Optimize index selection portion 35 couples of gross energy, fuel energy, electric energy, the energy consumption per unit of output value, cost, unit output value cost, the rolling middle CO that discharge as the optimization index 2In discharge capacity, the peak power when rolling any one selected.
Optimize index amount calculating part 36 according to by the control setting value of setting calculating part 31 and calculating, calculate by the amount of optimizing the optimization index that index selection portion 35 selects with as optimization index amount.
＜＜effect〉〉
Effect to the related optimization device 1A of the second embodiment of the present invention describes.
Fig. 7 is the flow chart of the flow process of the processing carried out of expression the second embodiment of the present invention related optimization device 1A.In addition, in the treatment step of flow chart shown in Figure 7, the processing of the number of steps identical with treatment step in the flow chart shown in Figure 5 is arranged for mark, owing to being respectively same treatment, therefore description thereof is omitted.
Among the step S201, optimize index selection portion 35 couples of gross energy, fuel energy, electric energy, the energy consumption per unit of output value, cost, unit output value cost, the rolling middle CO that discharge as the optimization index 2In discharge capacity, the peak power when rolling any one selected.
Among the step S215, optimize any amount in the index amount calculating part 36 calculation optimization index amounts.In addition, about rolling required gross energy, fuel energy, electric energy, because the computational methods of the gross energy that carries out with energy calculating part 33 that the related optimization device 1 of the first embodiment of the present invention comprises, fuel energy, electric energy are identical, therefore description thereof is omitted.
Optimize index amount calculating part 36 in the situation that unit of account output value energy consumption, at first, similar with the energy calculating part 33 that the related optimization device 1 of the first embodiment of the present invention comprises, computing fuel energy usage and electric energy use amount, and use following (mathematical expression 5) to calculate the energy consumption per unit of output value.Here, the energy consumption per unit of output value is made as Es[kJ/ton], the fuel energy use amount is made as Ef[kJ], the electric energy use amount is made as Ee[kJ], output is made as S[ton].
Es=(Ef+Ee)/S (mathematical expression 5)
In addition, optimize index amount calculating part 36 and calculating CO 2In the situation of discharge capacity, use the CO2 emission coefficient to calculate.Here, the CO2 emission coefficient is the coefficient that has discharged how many carbon dioxide when consume fuel and the electric power for calculating.For example, about natural gas, determine to be 0.5526kg-C/kg (when making the 1kg combustion of natural gas, the carbon of discharging 0.5526kg) or 2.025kg-CO 2/ kg (when making the 1kg combustion of natural gas, the carbon dioxide of discharging 2.025kg).If use 1kWh electric power, then carbon dioxide is defined as 0.555kg-CO 2/ kWh.
Therefore, the energy calculating part 33 that the related optimization device 1 of optimization index amount calculating part 36 and the first embodiment of the present invention comprises is similar, computing fuel energy usage Ef and electric energy use amount Ee, and use following (mathematical expression 6) to calculate CO 2Discharge capacity.Here, establish CO 2Discharge capacity Mg[kg], for the emission factor Kf[kg-CO of fuel 2/ kg], for the emission factor Ke[kg-CO of electric power 2/ kWh].
Mg=Ef * Kf+Ee * Ke (mathematical expression 6)
In addition, optimize index amount calculating part 36 in the situation that assess the cost, at first, similar with the energy calculating part 33 that the related optimization device 1 of the first embodiment of the present invention comprises, computing fuel energy usage Ef and electric energy use amount Ee, and use following (mathematical expression 7) to calculate cost.Here, cost is made as the C[yen], the unit output value fuel cost is made as Fg[yen/kg], the unit output value electricity charge are made as Eg[yen/kWh].
C=Ef * Fg+Ee * Eg (mathematical expression 7)
In addition, optimize index amount calculating part 36 in the situation that the unit of account volume cost, by using cost C that (mathematical expression 7) calculate divided by output S[ton], thus calculate unit output value cost Cg.
In addition, optimize index amount calculating part 36 in the situation that calculate peak power, the use power of the position of the stocking 150 in each moment that dopes according to the calculated value of the acceleration and deceleration of setting calculating part 31 and stocking 150 long based on the stocking material and each equipment of being calculated by energy calculating part 33, and use following (mathematical expression 8), calculate the power that a certain moment t uses in rolling line.
Then, during optimizing index amount calculating part 36 monitored object being set (for example a certain stocking from heating furnace extract reel finish till, a cycle of operation is medium), in this period, monitor employed each power constantly of the rolling line that is calculated by (mathematical expression 8), will use the power Ep (t) in the prominent moment to be made as peak power.Here, the power that a certain moment t is used in rolling line is made as Ep (t) [kWh], and the power that a certain moment t is used in a certain equipment is made as Eu (t) [kWh].
Ep (t)=∑ Equipment(Eu (t)) (mathematical expression 8)
Among step S217 and the step S223, Optimization Dept. 34 determines whether that the amount to the optimization index that is calculated by optimization index amount calculating part 36 is optimized.
Fig. 8 is illustrated in the figure that among the related optimization device 1A of the second embodiment of the present invention each is optimized the example that the end that computes repeatedly in the situation that index selects, that be used for being optimized judges.
Optimization Dept. 34 is by computing repeatedly to calculate the material and optimize the rolling condition of index amount the best of meeting the demands.For example, selecting CO 2Discharge capacity is with in the situation as the optimization index, and Optimization Dept. 34 is by computing repeatedly to calculate CO 2The rolling condition of discharge capacity minimum.
Therefore, Optimization Dept. 34 carry out compute repeatedly until as shown in Figure 8, selected optimization index amount reaches to optimize to compute repeatedly and finishes benchmark.
Compute repeatedly termination condition except number of repetition being arranged restriction from the viewpoint of computing time, also the corresponding inferior optimization index amount that calculates with the middle optimization index of computing repeatedly of last time amount calculating part 36 that computes repeatedly is compared, judge whether optimize the index amount converges on the best.
For example, selecting CO 2Discharge capacity is with as in the situation of optimizing index, by with CO 2Whether the minimizing amplitude that the last computation result of discharge capacity compares is enough little judges.
As mentioned above, related second embodiment of the invention optimization device 1A, owing to making setting calculating part 31 calculate following control setting value, this control setting value is so that in the material of being predicted by material prediction and calculation section 32 satisfies the scope that requires material of outside input, make the conduct that is calculated by optimization index amount calculating part 36 optimize gross energy, fuel energy, electric energy, the energy consumption per unit of output value, cost, unit output value cost, the rolling middle CO that discharges of index amount 2Any amount in discharge capacity, the peak power when rolling is minimum, therefore can guarantee stocking 150 require material in, from various optimization indexs, select desirable optimization index, and determine to make the rolling condition of this optimization index amount minimum of selecting.
In addition, in the second embodiment of the present invention, CPU11A carries out processing shown in Figure 7 for each stocking, but is not limited to this, for example also can the single roller cycle of operation from the roll change to the roll change of milling train medium longer during in execution.
In addition, in the second embodiment of the present invention, optimize the selection that index selection portion 35 is optimized index in advance, and carried out making this optimization index to become best optimization and calculated, but be not limited to this, also can optimize index to each and be optimized calculating, so that a plurality of optimization indexs are become the best separately, and all are optimized after the calculating end, select to optimize index, and determine rolling condition.
The＜the three embodiment 〉
Then, the optimization device 1B that the 3rd embodiment of the present invention is related is described.
In the first embodiment of the present invention, enumerate optimization device 1 for example is illustrated, this optimization device 1 calculates control setting value, the material so that the material of stocking 150 meets the demands, and if realizing the index of optimizing, rolling required energy namely optimizes index, so that it is minimum to optimize index.
In the 3rd embodiment of the present invention, enumerating optimization device 1B is that example describes, this optimization device 1B calculates the control setting value, so that for the single roller from the roll change to the roll change of roughing mill 107 or finishing mill 119 in the cycle of operation (for example, if with the timing in the roll change, then be to the roll change of next time from this roll change) all stockings 150, all satisfy material and require and output (output of time per unit), and so that the total amount of the rolling required energy in the cycle of operation is minimum.
The related optimization device 1 of the optimization device 1B that the 3rd embodiment of the present invention is related and the first embodiment shown in Figure 1 is similar, is connected with the control device 200 of control hot-rolling arrangement 100.
In addition, because the related optimization device 1B of the 3rd embodiment of the present invention has the structure identical with the related optimization device of the first embodiment shown in Figure 21, therefore description thereof is omitted.
＜＜effect〉〉
Effect to the related optimization device 1B of the 3rd embodiment of the present invention describes.
Fig. 9 is the flow chart of the flow process of the processing carried out of expression the 3rd embodiment of the present invention related optimization device 1B.
As shown in Figure 9, (step S301) calculated in the optimization of the stocking 150 in the cycle of operation of the setting calculating part 31 execution roughing mills 107 of CPU11 or finishing mill 119.Particularly, CPU11 is for all stockings 150 that are rolled in the cycle of operation at roller of calculating object, carry out the identical processing of processing of carrying out with the related optimization device 1 of the first embodiment of the present invention shown in Figure 5, use and optimize the method for calculating, before the heating furnace of packing into, calculate respectively heating furnace and extract temperature and fine finishining outlet side mill speed, so that the stocking 150 of calculating object satisfies the material requirement, and the rolling required energy of each root of object stocking 150 is minimum.
Next, the setting calculating part 31 of CPU11 is carried out and is extracted spacing setting calculating (step S303).Particularly, among the step S301, for roller each stocking in the cycle of operation of calculating object, calculated best rolling job parameter.Therefore, it is known how moving on the rolling line of stocking 150 after extracting from heating furnace 101.Therefore, set the extraction spacing τ that calculating part 31 can not clash at rolling line according to this information calculations stocking 150 and the previous stocking 150 that transmits iHere, extract spacing τ iBe made as the heating furnace extraction time interval between stocking 150 and the previous stocking 150 that transmits.
Then, set calculating part 31 and judge the extraction spacing τ that calculates iWhether meet the demands output (step S305).Particularly, setting calculating part 31 determines whether and satisfies following (mathematical expression 9).
∑ iτ i≤ T MAX(mathematical expression 9)
Here, T MAXIt is the rolling maximum time that can expend from all stockings 150 of roller cycle of operation of the viewpoint that requires output, calculating object.About extracting spacing τ iInitial value, the shorter spacing in the shortest extraction interval of for example selecting stocking 150 can not clash.
Utilize the treatment step of step S303 and S305, set calculating part 31 and can calculate the extraction spacing that meets the demands output and between stocking on the rolling line 150, can not clash.
Next, set calculating part 31 according to the extraction target temperature of each stocking 150 and extract spacing τ i, carry out furnace temperature and set calculating (step S307).Shown in the bright work corona company (publishing in 2002) of for example control in the document steel and iron industry of the computational methods of the furnace temperature of heating furnace 101 (iron Steel industry To ぉ け Ru system is driven) high bridge.
Then, set calculating part 31 and judge whether all stockings 150 for the roller cycle of operation can reach target extraction temperature (step S309).
Among the step S309, can't reach target extraction temperature (no situation) in the situation that be judged to be, setting calculating part 31 changes in the scope that does not occur to disturb with the stocking 150 of previous transmission and can't reach the extraction spacing that target is extracted the stocking 150 of temperature, S307 is similar with step, carries out furnace temperature and sets calculating (step S311).
Then, set calculating part 31 and judge whether all stockings 150 for the roller cycle of operation can reach target extraction temperature (step S313).
Among the step S313, can't reach target extraction temperature (no situation) in the situation that be judged to be, setting calculating part 31 determines whether to be in and computes repeatedly limited number of times with interior (step S315).
Among the step S315, compute repeatedly limited number of times (no situation) in the situation that be judged to be to have surpassed, set the target extraction temperature (step S317) that calculating part 31 changes the stocking 150 that can't reach target extraction temperature.Extract the change of temperature about target, be obtain in the computational process to each root of stocking 150, institute's energy requirement extracts temperature close to target least energy and the material that meets the demands, that only utilize Control for Kiln Temperature just can realize and selects.Perhaps, for the stocking 150 that can't reach target extraction temperature, the optimization among the execution in step S301 is calculated again, thereby calculates satisfying the target extraction temperature that material requires, institute's energy requirement is less and only utilize Control for Kiln Temperature just can reach.
On the other hand, among the step S313, can reach target extraction temperature (situation that is) in the situation that be judged to be, namely, in the situation that can carry out that furnace temperature is set so that in a certain extraction spacing, all stockings 150 can reach target to extract temperature such, energy calculating part 33 calculates rolling required all energy (step S319) of the corresponding cycles of operation.For example, energy calculating part 33 is by calculating respectively after the electric energy that consumes in the fuel energy that consumes in the heating furnace and other equipment its addition, thereby calculates all rolling required energy of the corresponding cycle of operation.
In addition, when setting calculating part 31 carries out furnace temperature setting calculating, owing to calculating the furnace temperature pattern in the cycle of operation, therefore energy calculating part 33 is according to this furnace temperature pattern, calculate atmosphere temperature decrease in efficiency, stocking that required energy, heat cause from wall escape etc. the required energy that heats up that rises, further calculate accordingly the consumption of fuel energy.
Thereby calculate electric energy by the rolling required energy addition with each root of above-mentioned stocking 150.In addition, also comprise the required energy of idle running.
Next, the reduction whether enough little (step S321) of all rolling required energy of the corresponding cycles of operation is judged by Optimization Dept. 34.
Among the step S321, not that Optimization Dept. 34 determines whether to be in and computes repeatedly limited number of times with interior (step S323) in the enough little situation (no situation) in the reduction of all the rolling required energy that are judged to be the corresponding cycle of operation.
Among the step S323, compute repeatedly limited number of times with interior (situation that is) in the situation that be judged to be to be in, processing is transferred to step S303, compute repeatedly limited number of times (no situation), end process in the situation that be judged to be to have surpassed.
Like this, can change and extract spacing to obtain so that satisfy the extraction spacing of material requirement and output requirement and energy minimum, and carry out above-mentioned calculating until surpass the appointment number of repetition, perhaps, until energy minimizing amplitude becomes below the designated value.
As mentioned above, the related optimization device 1B of the 3rd embodiment according to the present invention, because Optimization Dept. 34 makes setting calculating part 31 calculate following control setting value, this control setting value is so that satisfy the treating capacity that requires of outside input in the treating capacity of stocking 150, and the material of all stockings 150 that are equivalent to treating capacity of being predicted by material prediction and calculation section 32 satisfies in the scope that requires material of outside input, make the stocking 150 to being equivalent to treating capacity that is calculated by energy calculating part 33 be rolled required optimization index amount minimum, therefore can make the control of rolling equipment realize optimizing, so that for for example at all stockings 150 in the cycle of operation of the single roller from the roll change to the roll change of roughing mill 107 or finishing mill 119, all both guaranteed the product quality of stocking 150, and made again and want the optimization index amount optimized minimum.
In addition, in the related optimization device 1B of the 3rd embodiment of the present invention, about single roller rolling each stocking in the cycle of operation, extract spacing, heating furnace extracts temperature, fine finishining outlet side mill speed, illustrated so that satisfy material requirement and output requirement, and the method for energy minimum, extract spacing and extract temperature but be not limited to, fine finishining outlet side mill speed, about to the cooling condition in the runout table, rolling number of path, the load distribution in each path, the situation that the heating condition of web heater etc. changes, also similar to the above, can change heating furnace condition and the rolling condition set in the calculating part 31, under this condition, repeat the performed material prediction and calculation of material prediction and calculation section 32, calculate with the energy calculating part 33 performed energy in situation about being rolled under the rolling condition that is calculated by setting calculating part 31, utilize Optimization Dept. 34 to determine to satisfy the material requirement, and the rolling condition of energy minimum.
In addition, among the related optimization device 1B of the 3rd embodiment of the present invention, the situation that makes rolling required gross energy minimum is illustrated, but similar with the optimization device 1A that the second embodiment of the present invention is related, comprise and optimize index selection portion 35 and optimize index amount calculating part 36, can optimize rolling line, so that fuel energy shown in Figure 8 and electric energy, the energy consumption per unit of output value, CO 2The optimization indexs such as discharge capacity, cost, unit output value cost, peak power become the best.
In addition, thus also can realize above-mentioned embodiment by the optimizer that execution is installed in the computer.Namely, this optimizer for example can be by reading from the recording medium that stores optimizer, and carried out by CPU, thereby consist of any optimization device among optimization device 1～1B, also can transmit and install via communication network, carried out by CPU, thus any optimization device among formation optimization device 1～1B.
Industrial practicality
The present invention can be applicable to the optimization device set of control device to the control hot-rolling arrangement.

Claims (9)

1. an optimization device is characterized in that, comprising:
Set calculating part, this setting calculating part calculates the control setting value that the rolling device rolling in-process stock is used;
The material prediction section, this material prediction section is based on the control setting value that is calculated by described setting calculating part, to predicting through the material of the rolling stocking of described rolling device;
Optimize index amount calculating part, this optimizations index amount calculating part is based on the control setting value that is calculated by described setting calculating part, and the amount that calculates the index that is optimized for the rolling described stocking of described rolling device is with as optimization index amount; And
Optimization Dept., this Optimization Dept. makes described setting calculating part calculate following described control setting value, this control setting value is so that in the material of being predicted by described material prediction section satisfies the scope that requires material of outside input, make the optimization index amount that is calculated by described optimization index amount calculating part minimum.
2. optimization device as claimed in claim 1 is characterized in that,
Described optimization index amount calculating part
Based on the control that calculated by described setting calculating part setting value, calculate the required energy of the rolling described stocking of described rolling device and namely use energy, with as optimization index amount.
3. optimization device as claimed in claim 1 or 2 is characterized in that,
Described Optimization Dept.
Make described setting calculating part calculate following described control setting value, this control setting value is so that in the satisfied outside scope that requires material of inputting of the material of all stockings that are equivalent to described treating capacity that require treating capacity and predicted by described material prediction section of being inputted by the satisfied outside of the treating capacity of the rolling stocking of described rolling device, make the stocking to being equivalent to described treating capacity that is calculated by described optimization index amount calculating part be rolled required optimization index amount minimum.
4. optimization method is characterized in that having:
Set calculation procedure, this is set in the calculation procedure, calculates the control setting value that the rolling device rolling in-process stock is used;
The material prediction steps is in this material prediction steps, based on the control setting value that is calculated by described setting calculation procedure, to predicting through the material of the rolling stocking of described rolling device;
Optimize index amount calculation procedure, this is optimized in index amount calculation procedure, and based on the control setting value that is calculated by described setting calculation procedure, the amount that calculates the index that is optimized for the rolling described stocking of described rolling device is with as optimization index amount; And
Optimization Steps, in this Optimization Steps, utilize described setting calculation procedure to calculate following described control setting value, this control setting value is so that in the material of being predicted by described material prediction steps satisfies the scope that requires material of outside input, make the optimization index amount that is calculated by described optimization index amount calculation procedure minimum.
5. optimization method as claimed in claim 4 is characterized in that,
In the described optimization index amount calculation procedure,
Based on the control that calculated by described setting calculation procedure setting value, calculate the required energy of the rolling described stocking of described rolling device and namely use energy, with as optimization index amount.
6. such as claim 4 or 5 described optimization methods, it is characterized in that,
In the described Optimization Steps,
Utilize described setting calculation procedure to calculate following described control setting value, this control setting value is so that in the satisfied outside scope that requires material of inputting of the material of all stockings that are equivalent to described treating capacity that require treating capacity and predicted by described material prediction steps of being inputted by the satisfied outside of the treating capacity of the rolling stocking of described rolling device, make the stocking to being equivalent to described treating capacity that is calculated by described optimization index amount calculation procedure be rolled required optimization index amount minimum.
7. optimizer, this optimizer are used for making computer to carry out following steps:
Set calculation procedure, this is set in the calculation procedure, calculates the control setting value that the rolling device rolling in-process stock is used;
The material prediction steps is in this material prediction steps, based on the control setting value that is calculated by described setting calculation procedure, to predicting through the material of the rolling stocking of described rolling device;
Optimize index amount calculation procedure, this is optimized in index amount calculation procedure, and based on the control setting value that is calculated by described setting calculation procedure, the amount that calculates the index that is optimized for the rolling described stocking of described rolling device is with as optimization index amount; And
Optimization Steps, in this Optimization Steps, utilize described setting calculation procedure to calculate following described control setting value, this control setting value is so that in the material of being predicted by described material prediction steps satisfies the scope that requires material of outside input, make the optimization index amount that is calculated by described optimization index amount calculation procedure minimum.
8. optimizer as claimed in claim 7 is characterized in that,
In the described optimization index amount calculation procedure,
Based on the control that calculated by described setting calculation procedure setting value, calculate the required energy of the rolling described stocking of described rolling device and namely use energy, with as optimization index amount.
9. such as claim 7 or 8 described optimizers, it is characterized in that,
In the described Optimization Steps,
Utilize described setting calculation procedure to calculate following described control setting value, this control setting value is so that in the satisfied outside scope that requires material of inputting of the material of all stockings that are equivalent to described treating capacity that require treating capacity and predicted by described material prediction steps of being inputted by the satisfied outside of the treating capacity of the rolling stocking of described rolling device, make the stocking to being equivalent to described treating capacity that is calculated by described optimization index amount calculation procedure be rolled required optimization index amount minimum.
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