CN103008358B - Optimization device, optimization method and optimizer - Google Patents

Optimization device, optimization method and optimizer Download PDF

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Publication number
CN103008358B
CN103008358B CN201110413829.0A CN201110413829A CN103008358B CN 103008358 B CN103008358 B CN 103008358B CN 201110413829 A CN201110413829 A CN 201110413829A CN 103008358 B CN103008358 B CN 103008358B
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rolling
stocking
optimization
optimizing index
index amount
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CN103008358A (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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  • Mechanical Engineering (AREA)
  • Control Of Metal Rolling (AREA)

Abstract

The control of optimization device of the present invention to rolling equipment is optimized, and makes the product quality both guaranteeing stocking, makes again to want the optimizing index amount of optimization minimum.This optimization device comprises: the setup algorithm portion calculating the control setting value of rolling device rolling in-process stock; Based on the control setting value calculated by setup algorithm portion, the Wood quality prediction calculating part predicted the material of the stocking through rolling device rolling; Based on the control setting value calculated by setup algorithm portion, calculate the index that rolling device rolling in-process stock is optimized amount using the optimizing index amount calculating part as optimizing index amount; And Optimization Dept., this Optimization Dept. makes setup algorithm portion calculate following control setting value, this control setting value makes in the scope that the material predicted by Wood quality prediction calculating part meets the requirement material of outside input, makes the optimizing index amount that calculated by optimizing index amount calculating part minimum.

Description

Optimization device, optimization method and optimizer
Technical field
The present invention relates to when stocking being rolled in rolling equipment the control of rolling equipment is optimized, makes not only to guarantee stocking product quality, but also the optimization device, optimization method and the optimizer that make optimizing index amount minimum.
Background technology
As the rolling equipment of rolled metal material, comprise manufacture steel plate (hereinafter referred to as steel plate) thin plate equipment of hot rolling, heavy plate rolling equipment, cold-rolling equipment, the rolling of sectional iron equipment of iron and steel, bar steel, the rolling equipment of wire rod and aluminium, copper rolling equipment.
Such as, the ferrous materials of the cuboid being called as slab is heated to about 1200 DEG C by thin plate equipment of hot rolling heating furnace 101, and by utilizing roughing mill to implement roughing, thus obtain the web that thickness is about 30 ~ 40mm.Now, web heater is sometimes also utilized to heat up to make web.Afterwards, the web through roughing is rolled into thickness 1.2 ~ 12mm by thin plate equipment of hot rolling in finishing mill.Then, thin plate equipment of hot rolling is cooled to after about 500 ~ 700 DEG C utilizing water cooling unit, and final winder winding is around using as coiled material.Here, at every turn through each operation of rolling, the call of slab can become web, coiled material etc., but below, the address such with stocking is unified.
Like this, thin plate equipment of hot rolling is while transmit stocking, while heat with predetermined temperature with heating furnace, and make it that larger distortion occur with milling train, thus certain quality can be guaranteed, 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 thin plate equipment of hot rolling based on this prediction.
Such as, in patent document 1, propose the Wood quality prediction control method of following steel plate: according to the steel actual sets score value before rolling and the steel size after rolling (thickness, width, length) and steel material guarantee value (hot strength, yield point, toughness), obtain the predetermined process conditions of heating, rolling, cooling.
In addition, high-quality is required on the one hand, on the other hand, if heat with high temperature, then consumed energy also can increase, but, consider the energy situation etc. of concern for the environmental problem of world today's property and Japan, in thin plate equipment of hot rolling, also strongly wish to reduce energy consumption.
Thus, such as, as conservation measures, the time, i.e. so-called idle running (idle) time that are rolled without the milling train interior power-economizing method reducing roller rotating speed is generally implemented in.In addition, owing to employing a large amount of cooling waters, the oil of hydraulic system and the air of pressure fan in milling train, therefore, providing the unit number control of pump of water, oil, air or startup to milling train, during stopping controls, general well-known existence is tried hard to realize energy-conservation power-economizing method.
Such as, in patent document 2, propose following milling method: the outlet temperature of finishing mill more than the heating furnace Extracting temperature, the exit thickness reducing each path of the roughing of power cost and the AR3 transformation temperature that reach more than the AR3 transformation temperature corresponding with stocking chemical analysis is separately set.
Patent document 1: Japanese Patent Laid No. 2509481 publication
Patent document 2: Japanese Patent Laid-Open No. Sho 58-119404 publication
But, in the milling method described in patent document 2, even if utilize fine finishining outlet side temperature to be set as reaching the heating furnace Extracting temperature of more than AR3 transformation temperature, when there is the key element of final material about other except phase transformation, sometimes also final material cannot be guaranteed.
As the key element of material final about other except phase transformation, such as, have the recrystallization ratio in each path that ultimate size impacts, the solid solution element amount in micro alloyed steel and the metal structure change such as size of separating out amount of element and precipitate.Because the change of these metal structures is subject to the impact from the past experience of heating furnace to fine finishining outlet side, therefore, in order to ensure final material, need to consider that metal structure change sets rolling condition.
Summary of the invention
The present invention completes in view of the above problems, the optimization device, optimization method and the optimizer that its object is to, provide a kind of control to rolling equipment to be optimized, make to guarantee the product quality of stocking, the optimizing index amount wanting to be optimized can be made minimum again.
In order to achieve the above object, the fisrt feature of optimization device involved in the present invention is, comprising: setup algorithm portion, and this setup algorithm portion calculates the control setting value of rolling device rolling in-process stock; Wood quality prediction portion, this Wood quality prediction portion, based on the control setting value calculated by described setup algorithm portion, predicts the material of the stocking through described rolling device rolling; Optimizing index amount calculating part, this optimizing index amount calculating part is based on the control setting value calculated by described setup algorithm portion, and the amount calculating the index be optimized for stocking described in described rolling device rolling is using as optimizing index amount; And Optimization Dept., this Optimization Dept. makes described setup algorithm portion calculate following described control setting value, this control setting value makes in the scope that the material predicted by described Wood quality prediction portion meets the requirement material of outside input, makes the optimizing index amount that calculated by described optimizing index amount calculating part minimum.
In order to achieve the above object, the second feature of optimization device involved in the present invention is, described optimizing index amount calculating part is based on the control setting value calculated by described setup algorithm portion, namely the energy calculated described in described rolling device rolling needed for stocking uses energy, using as optimizing index amount.
In order to achieve the above object, the third feature of optimization device involved in the present invention is, described Optimization Dept. makes described setup algorithm portion calculate following described control setting value, this control setting value makes the requirement treating capacity meeting outside input in the treating capacity of the stocking by described rolling device rolling, and the material being equivalent to all stockings of described treating capacity predicted by described Wood quality prediction portion meets in the scope of the requirement material of outside input, make by described optimizing index amount calculating part calculate to be rolled required optimizing index amount to the stocking being equivalent to described treating capacity minimum.
In order to achieve the above object, the fisrt feature of optimization method involved in the present invention is to have: setup algorithm step, in this setup algorithm step, calculates the control setting value of rolling device rolling in-process stock; Wood quality prediction step, in this Wood quality prediction step, based on the control setting value calculated by described setup algorithm step, predicts the material of the stocking through described rolling device rolling; Optimizing index amount calculation procedure, in this optimizing index amount calculation procedure, based on the control setting value calculated by described setup algorithm step, the amount calculating the index be optimized for stocking described in described rolling device rolling is using as optimizing index amount; And Optimization Steps, in this Optimization Steps, described setup algorithm step is utilized to calculate following described control setting value, this control setting value makes in the scope that the material predicted by described Wood quality prediction step meets the requirement material of outside input, makes the optimizing index amount that calculated by described optimizing index amount calculation procedure minimum.
In order to achieve the above object, the second feature of optimization method involved in the present invention is, in described optimizing index amount calculation procedure, based on the control setting value calculated by described setup algorithm step, namely the energy calculated described in described rolling device rolling needed for stocking uses energy, using as optimizing index amount.
In order to achieve the above object, the third feature of optimization method involved in the present invention is, in described Optimization Steps, described setup algorithm step is utilized to calculate following described control setting value, this control setting value makes the requirement treating capacity meeting outside input in the treating capacity of the stocking by described rolling device rolling, and the material being equivalent to all stockings of described treating capacity predicted by described Wood quality prediction step meets in the scope of the requirement material of outside input, make by described optimizing index amount calculation procedure calculate to be rolled required optimizing index amount to the stocking being equivalent to described treating capacity minimum.
In order to achieve the above object, the fisrt feature of optimizer involved in the present invention is, makes computer perform following steps: setup algorithm step, in this setup algorithm step, calculates the control setting value of rolling device rolling in-process stock; Wood quality prediction step, in this Wood quality prediction step, based on the control setting value calculated by described setup algorithm step, predicts the material of the stocking through described rolling device rolling; Optimizing index amount calculation procedure, in this optimizing index amount calculation procedure, based on the control setting value calculated by described setup algorithm step, the amount calculating the index be optimized for stocking described in described rolling device rolling is using as optimizing index amount; And Optimization Steps, in this Optimization Steps, described setup algorithm step is utilized to calculate following described control setting value, this control setting value makes in the scope that the material predicted by described Wood quality prediction step meets the requirement material of outside input, makes the optimizing index amount that calculated by described optimizing index amount calculation procedure minimum.
In order to achieve the above object, the second feature of optimizer involved in the present invention is, in described optimizing index amount calculation procedure, based on the control setting value calculated by described setup algorithm step, namely the energy calculated described in described rolling device rolling needed for stocking uses energy, using as optimizing index amount.
In order to achieve the above object, the third feature of optimizer involved in the present invention is, in described Optimization Steps, described setup algorithm step is utilized to calculate following described control setting value, this control setting value makes the requirement treating capacity meeting outside input in the treating capacity of the stocking by described rolling device rolling, and the material being equivalent to all stockings of described treating capacity predicted by described Wood quality prediction step meets in the scope of the requirement material of outside input, make by described optimizing index amount calculation procedure calculate to be rolled required optimizing index amount to the stocking being equivalent to described treating capacity minimum.
According to optimization device of the present invention, optimization method and optimizer, the control realization optimization of rolling equipment can be made, make the product quality both guaranteeing stocking, make again to want the optimizing index amount optimized to become minimum.
Accompanying drawing explanation
Fig. 1 is the structure chart of the structure of the hot rolling system representing the optimization device of application involved by the first embodiment of the present invention.
Fig. 2 is the structure chart of the structure of the CPU included by optimization device represented involved by the first embodiment of the present invention.
Fig. 3 is the figure be described an example of the energy that stocking consumes.
Fig. 4 is the figure representing the example distinguishing the energy that each equipment consumes.
Fig. 5 is the flow chart of the flow process representing the process that the optimization device involved by the first embodiment of the present invention carries out.
Fig. 6 is the structure chart of the structure of the CPU included by optimization device represented involved by the second embodiment of the present invention.
Fig. 7 is the flow chart of the flow process representing the process that the optimization device involved by the second embodiment of the present invention carries out.
Fig. 8 is the figure of the example representing when selecting each optimizing index in the optimization device involved by the second embodiment of the present invention, judging for the end computed repeatedly that is optimized.
Fig. 9 is the flow chart representing the handling process that the optimization device involved by the 3rd embodiment of the present invention carries out.
Label declaration
1,1A, 1B optimization device
31 setup algorithm portions
32 Wood quality prediction calculating parts (Wood quality prediction portion)
33 energy calculation unit
34 Optimization Dept.s
35 optimizing index selection portions
36 optimizing index amount calculating parts
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 plate
135 up-coilers
150 stockings
200 control device
300 hot rolling systems
Detailed description of the invention
Below, the embodiment of optimization device involved in the present invention is described with reference to accompanying drawing.
< first embodiment >
<< structure >>
Fig. 1 is the structure chart of the structure of the hot rolling system representing the optimization device of application involved by the first embodiment of the present invention.
As shown in Figure 1, hot rolling system 300 comprises the control device 200 of the optimization device 1 involved by the first embodiment, the hot-rolling arrangement 100 stocking being carried out to hot rolling and control hot-rolling arrangement 100, and optimization device 1 is connected with control device 200.Arrow in Fig. 1 represents the direction of transfer being carried out by the stocking 150 of rolling transmitting in hot-rolling arrangement (hot rolling line).Generally speaking, be also referred to as slab (slab), web (bar), coiled material in the process of stocking 150 rolling in hot-rolling arrangement, but, be collectively referred to as stocking 150 here.
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 the stoves for adding hot rolling material 150.
One-level descale machine 103 removes by the above-below direction inject high pressure water from stocking 150 oxide-film formed on the surface at stocking 150 because of the heating of heating furnace 101.
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 frame, and the above-below direction along stocking 150 is rolled.In addition, from the view point of preventing degradation at temperature, roughing mill 107 needs to shorten production line length, and needs to utilize mulitpath (back and forth movement in the transmission direction) to be rolled, thus mostly comprises reversible mill to form.In addition, roughing mill 107 comprise for as half-finished stocking 150 inject high pressure water to remove the descale machine of oxide-film on surface.Owing to being at high temperature rolled, therefore easily forming oxide-film, needing the device suitably used for removing this oxide-film.
Roughing outlet side plate wide meter 109 measures as the plate of the half-finished stocking 150 in rolling is wide.
Web heater 110 is heated to the stocking 150 after roughing mill 107 rolling.
Roughing outlet side thermometer 111 measures the surface temperature as the half-finished stocking 150 in rolling.
Because the distance between roughing mill 107 and finishing mill 119 is longer, therefore, the surface temperature of stocking 150 of fine finishining entrance side thermometer 113 to the porch being positioned at finishing mill 119 measures.
The rear ends of stocking 150 cuts off by cropping machine 115.
Because the distance between roughing mill 107 and 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 after finish rolling 150, removed at the oxide-film formed on the surface by the stocking 150 after roughing by the above-below direction inject high pressure water from stocking 150.
Finishing mill 119 adopts the tandem being provided with multiple row and being called as the roll of frame, by utilizing multiple roll to be rolled along the vertical direction, thus can obtain the stocking 150 of target thickness of slab.In order to suppress oxide-film to be formed, and in order to carry out temperature control, between the frame and frame of this finishing mill 119, include injector.
Fine finishining outlet side thickness of slab meter 121 measures the thickness of slab by the stocking 150 after finishing mill 119 rolling.
Multimeter (Multi-Channel Gauge) 123 as a kind of X-ray analyzer is following compound analyzers: adopt the mode arranged along the width of stocking 150 by the detector of X-ray, the thickness of slab distribution on width can be measured, thus an analyzer can be utilized to measure the kinds of processes values such as thickness of slab, convexity (crown), plate be wide.
Fine finishining outlet side thermometer 125 measures the surface temperature by the stocking 150 after finishing mill 119 rolling.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.
Flatness meter 127 is to by being measured by the flatness of stocking 150 after finishing mill 119 rolling.In addition, flatness meter 127 comprises multiple ccd video camera, and the plate that can also measure stocking 150 is wide.
Runout table 129 is the devices utilizing cooling water to cool to control the temperature of stocking 150 to stocking 150.To this, except common runout table cooling device, sometimes also comprise forced cooling device in front and back.
Up-coiler entrance side thermometer 131 measures the surface temperature by the cooled stocking 150 of runout table 129.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.
The wide meter of up-coiler entrance side plate 133 measures by the plate of the cooled stocking of runout table 129 150 is wide.In common rolling, because the stocking 150 being heated to austenitic area becomes the tissue such as ferrite, pearlite mutually in runout table 129, therefore, the plate measured after phase transformation is wide.In addition, owing to being about about 860 DEG C at finishing mill 119 outlet side, be about about 600 DEG C at up-coiler 135 entrance side, therefore, by measuring under closer to the state of room temperature, thus can under the state less with the error of room temperature caused because of linear expansion assay plate wide.
Up-coiler 135 carries out reeling to transmit stocking 150.
Control device 200 pairs of stockings 150 carry out size Control and temperature controls, using the quality control as the quality for guaranteeing the stocking 150 becoming product.
Control device 200 carries out the wide wide control of plate of the strip thickness control of thickness of slab of the width central portion controlling stocking 150, control panel, control the flatness that the strip crown of width thickness of slab distribution controlled, controlled the stretching, extension of the width of stocking 150 controls, using as size Control.
In addition, control device 200 carries out the coiling temperature control controlling the fine finishining outlet temperature control of fine finishining milling train 119 outlet temperature and the temperature before controlling up-coiler 135, to control as temperature.
When determining the product quality of stocking 150, importantly calculate the setup algorithm controlling setting value and quality control.Such as, in setup algorithm, before stocking 150 nips roughing mill 107 and finishing mill 119, in initial calculation, calculate the roll gap of roll, roller speed in advance, guarantee stable logical plate thus.Need suitably to carry out the initial setting of the cooling water of finishing mill 119 and the initial setting of coiling temperature control in advance.
Such as, in the wide control of plate, as the external disturbance hindering thickness of slab precision to improve, there is the temperature change of stocking 150.The low temperature part that slideway black mark (skid mark) is such is there is sometimes in the stocking 150 heated by heating furnace 101 because of the structure of heating furnace 101.Because this low temperature part is hardening, therefore thickness of slab is thickening, and plate is wide also changes.
Here, the temperature of stocking 150 and the relation of quality are described.If fully do not heat stocking 150 in heating furnace 101, then obviously can there is slideway black mark, and occur thickness deviation with the cycle of slideway black mark on the direction of transfer of stocking 150.
Particularly, when using micro alloyed steel using as the material of stocking 150, the change due to the Extracting temperature extracted from heating furnace 101 can be worried, and the effect of expected microalloy cannot be obtained.Micro alloyed steel adds with niobium and the vanadium microalloy that is representative and makes the steel after organizing miniaturization.The slab used in based on the purposes of boats and ships and pipeline and hot-strip require higher intensity, toughness, weldability, processability.
For taking into account this intensity and low-temperature flexibility, make to organize miniaturization to be effective, and use TMCP (Thermo-Mechanical Control Process: thermomechanical Controlling Technology) to be also effective, this TMCP is by adopting suitable hot-rolled condition to adjust austenitic state (controlled rolling), and after controlled rolling in austenitic iron oxysome phase transition temperature region chilling (controlled cooling model), thus make ferrite organize miniaturization.
The microalloy being representative with niobium and vanadium makes the effect of TMCP increase.There will be a known as its effect, such as, in the heating process of heating furnace 101 grade, utilize the pinning of precipitate (pinning) effect can suppress the growth of crystal grain.In addition, in the rolling process of roughing mill 107 and finishing mill 119 etc., pull (solute drag) effect owing to utilizing the solute of solid solution element, the pinning effect of precipitate of processing suppresses to recover and recrystallization, therefore can promote that ferritic intragranular is separated out, the miniaturization of ferrite grain can be made.And, in the refrigerating work procedure of runout table 129 grade, utilize the precipitation strength of precipitate, improve the intensity etc. of final products.
Like this, although widely use micro alloyed steel, can worry, when fully not heating, fully cannot obtain the solid solution capacity of microalloy, the solute drageffect of solid solution microalloy reduces; And the amount of precipitation after extracting, in rolling and in cooling reduces, the pinning effect of precipitate reduces.
In addition, when being rolled the stocking 150 of low temperature, owing to being be rolled hard material, therefore the rolling power of roughing mill 107 and finishing mill 119 needs larger, drives the energy consumption of the drive unit of roughing mill 107 and finishing mill 119 to increase.
And in recent years, client is more strict to the standard required by the rolled products of stocking 150 on the one hand, on the other hand especially except the size shape of rolled products, the engineering properties such as intensity and ductility importantly will be made to be in permissible range.In the metal material based on iron and steel, 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 change according to heating condition, processing conditions and cooling condition.The adjustment of alloy compositions is undertaken by the addition of control component element, but the adjustment of formula stove etc. that can keep the molten steel of such as about 100 tons is used when adjusting component, the unit of such batch is comparatively large, and it is very difficult for changing addition to each product of each products of about 15 tons.Thus, in order to manufacture the product of desired material, importantly making material with suitable heating condition, processing conditions and cooling condition, namely realizing the material such as engineering properties as target.
On the other hand, consider for the environmental problem of world today's property concern and be concerned about day by day improve, 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, such as, be included in time and so-called idle running (idle) time that roughing mill 107 and finishing mill 119 be not rolled, reduce roller rotating speed to save the method for electric energy.In addition, owing to using the oil of a large amount of cooling waters, hydraulic system, the air of pressure fan in roughing mill 107 and finishing mill 119, therefore, in provide the unit number control of the pump of water, oil, air and startup, stopping to control to roughing mill 107 and finishing mill 119, also consideration is tried hard to energy-conservation.
In addition, in the energy that hot-rolling arrangement 100 uses, fuel energy accounts for 60%, large compared with 34% of electric energy.Therefore, the energy-conservation gross energy for consuming in hot-rolling arrangement 100 carrying out fuel energy energy-conservation for be effective.Fuel energy mainly consumes in heating furnace 101.Therefore, in order to try hard to realize the energy-conservation of the fuel energy in heating furnace 101, be conceived to the effect that heating furnace 101 carries out controlling larger.
Therefore, optimization device 1 involved by first embodiment is connected with the control device 200 controlling hot-rolling arrangement 100, the control realization optimization that this optimization device 1 makes control device 200 pairs of hot-rolling arrangements 100 carry out, make the product quality both can guaranteeing the stocking 150 after by hot-rolling arrangement 100 rolling, make again the use energy centered by heating furnace 101 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 respectively via bus 20.
ROM12 is made up of nonvolatile semiconductor etc., stores the operating system performed by CPU11 and optimizer.
RAM13 is made up of volatile semiconductor etc., and temporarily storage CPU11 performs the data needed for various process.
Hard disk 16 stores the information of CPU11 execution needed for optimizer.
CPU11 is optimized the pass key control of device 1.
Fig. 2 is the structure chart of the structure of the CPU11 included by optimization device 1 represented involved by the first embodiment of the present invention.
As shown in Figure 2, CPU11 performs optimizer, thus functionally comprises setup algorithm portion 31, Wood quality prediction calculating part 32, energy calculation unit 33 and Optimization Dept. 34 at it.
Setup algorithm portion 31 calculates for the rolling operation parameter etc. after stable and rolling in-process stock 150 accurately control setting value, i.e. heating furnace condition and heating furnace extraction.
Such as, in setup algorithm portion 31, from size and the weight of the stocking 150 outside input normal temperature, when being loaded heating furnace 101 and rise to desired Extracting temperature, execution furnace setpoint calculates, and namely calculating should in stove several hours in the atmosphere temperature in several years.
In addition, setup algorithm portion 31 performs setup algorithm.Such as, setup algorithm portion 31 is according to the size of the stocking 150 extracted from heating furnace 101 and temperature, the rolling model set up by mathematical expression is used to predict rolling loads, deformation drag, rolling torque, rolling power etc., to calculate the fine finishining outlet side mill speed setting value, roll gap setting value etc. as the control setting value for stable rolling.
And the calculated value of the acceleration and deceleration of setup algorithm portion 31 and stocking 150 long according to stocking material, until terminate with the winding of up-coiler 135 from heating furnace 101, predicts the position of the imaginary stocking in each moment.Then, setup algorithm portion 31 uses and considers the thermal balance of stocking 150 towards the heating in the radiation of surrounding atmosphere, cross-ventilation, cooling water convection current, phase transformation, processing, temperature model to the heat transfer etc. of roller, and according to heating furnace Extracting temperature and fine finishining outlet side target temperature and the target temperature that reels, the injector of setting one-level descale machine 103, secondary descale machine 117, finishing mill 119 and runout table 129, and calculate the temperature of the stocking 150 at each place place.
Wood quality prediction calculating part 32 to when utilizing the control setting value that calculated by setup algorithm portion 31 to be rolled, the material of the stockings such as engineering properties 150 such as yield stress after winding and hot strength predicts.Such as, Wood quality prediction calculating part 32 according to metal structure information and chemical constituent, to engineering properties such as yield stress and hot strength etc. for the material of representative is predicted.As an example, described in having in the P125 of the 173rd, 174 Western Hills souvenir technology lecture " tissue change of hot-strip and the prediction of material " ((company) Nippon Steel association periodical).
In metal structure after winding, comprise each phase volume rate of ferrite particle diameter, ferrite, pearlite, bainite, martensite etc., comprise austenite particle diameter etc. as intermediate data.Therefore, Wood quality prediction calculating part 32 according to the chemical constituent of stocking and calculated by setup algorithm portion 31 rolling time the predicted value such as temperature, load, and use by the model of metallurgical phenomenon formulism, predict the change of metal structure.
By in this model of metallurgical phenomenon formulism, propose various scheme, it is well known that by representing the model that the mathematical expression group of static recovery, static recrystallization, Dynamic-Recovery, dynamic recrystallization, grain growth etc. is formed.As an example, in Technology of Plastic Processing series 7 plate rollings (corona company) P198 ~ 229, disclose an example.Thereby, it is possible to grasp particle diameter, ferrite, pearlite, bainite, martensitic volume fraction etc.
Energy calculation unit 33, according to the result of calculation in setup algorithm portion 31, calculates and is rolled required energy to the stocking 150 of calculating object.
Fig. 3 is the figure be described an example of the energy that stocking 150 consumes.
As shown in Figure 3, the energy 201 that stocking 150 consumes is divided into heat energy 202, machining energy 203, transmits energy 204, sprays energy 205.
Heat energy 202 comprises in the heating consumed energy 206 and one-level descale machine 103, secondary descale machine 117, finishing mill 119 and runout table 129 consumed when utilizing heating furnace 101 pairs of stockings 150 to heat the cooling consumed energy 207 of consumption when carrying out air cooling to stocking 150 and utilize injector to carry out water-cooled.Energy in the process that stocking 150 is rolled and cools when the inside of stocking 150 undergoes phase transition is also contained in heat energy 202.In addition, the energy when the midway of rolling line utilizes web heater 110 grade to heat stocking 150 is also contained in heat energy 202.
Machining energy 203 is the energy consumed when stocking 150 being deformed in thick edging mill 105, roughing mill 107, finishing mill 119.
Transmit the energy consumed when energy 204 is and utilizes transfer roller to transmit stocking 150 on rolling line.
Spraying energy 205 is utilize the water in the descale machine such as one-level descale machine 103, secondary descale machine 117 to spray energy when removing oxide skin.
Fig. 4 is the figure representing the example distinguishing the energy that each equipment consumes.
In Fig. 4, the energy consume equipment directly related with rolling in rolling line and the energy driving the drive unit of this equipment to consume carry out differentiation to illustrate.
As shown in Figure 4, in heating furnace 101, the fossil fuels such as most combusting heavy oil and natural gas, consume fuel energy 310.In web heater 110, utilize eddy-current heating to heat, consume electric energy 311.In runout table 129, the water-cooled of carrying out air cooling and utilizing the cooling water provided from header tank to carry out.Mostly use recirculated water for cooling water, the water conservancy pit used in cooling reclaims, and through the process of filtering and cool, again uses in cooling.Pump is used to draw water from chilled water tank to header tank.Therefore, in the descale machine such as injector, one-level descale machine 103, secondary descale machine 117 of runout table 129, finishing mill 119 etc., comprise pump drive motor 301, the pump carried out in order to pump drive motor 301 drives and consumes electric energy.
In roughing mill 107 and finishing mill 119, owing to utilizing milling train drive motor 302 to carry out driven roller, therefore consume electric energy.
Also need electric power when transmitting stocking 150, in the roller-way drive motor 303 driving transmission roller-way, consume electric energy.
Energy calculation unit 33 calculates the energy needed for rolling as following.
First, as following, the energy that stocking consumes in heating furnace 101 is calculated.Such as, if establish the stocking 150 of weight 15 tons to be warming up to 1230 DEG C from normal temperature (30 DEG C), if the specific heat of iron and steel is set to 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 calculation unit 33 is according to specific heat, initial temperature, final temperature, weight, and the energy directly required to the intensification of stocking 150 calculates.When heating the stocking 150 in heating furnace 101, also atmosphere temperature must be made to increase, the efficiency caused from wall escape etc. owing to there is heat in addition declines, and therefore except the energy that the intensification comprising stocking 150 directly consumes, also comprises indirectly required energy.Have many stockings 150 in heating furnace 101, indirectly required energy is the energy relevant to all these stockings.
Therefore, energy calculation unit 33 is taken into account at stove radical, the size of plate blank of stocking 150, time inside furnace, and the energy indirectly required to each root of the stocking 150 of a certain calculating object calculates.Energy required in heating furnace 101 is the energy after fuel energy indirectly required for each root of the directly required fuel energy of the intensification of above-mentioned stocking 150 and stocking 150 being added.
Similar with the heat energy consumed in heating furnace 101, energy calculation unit 33, according to specific heat, initial temperature, final temperature, weight, calculates the energy that stocking 150 consumes in web heater 110.It is the energy needed for eddy-current heating in web heater 110 by the consumption of the electric energy taken into account from electric energy to the conversion efficiency of heat energy.
Next, energy calculation unit 33, such as following, calculates the energy needed for the cooling in runout table 129.
Cooling in runout table 129 is by using the water be temporarily stored in header tank to carry out.This header tank is arranged on the top of the position being provided with rolling line, utilizes this alternate position spike to provide water to each injector.Therefore, pump etc. must be used temporarily water to be extracted into header tank.
If in each moment, what setup algorithm portion 31 calculated by energy calculation unit 33 is set to that the injector quantity [radical] of opening is set to C, the cooling water flow [m sprayed by each injector 3/ H] be set to FS, then according to C and FS, use following (mathematical expression 1), calculate the total amount FT [m of the cooling water used in runout table 129 3].
FT=∫ (C × FS) dt (mathematical expression 1)
Then, energy calculation unit 33 is according to the total amount FT [m of the cooling water calculated 3], the stocking 150 of calculating object and as the front stocking just transmitted before stocking 150 between cooling interval T [H] and front stocking cooling at the end of in case the remaining water yield [m 3], calculate speed of the drawing water [m of pump 3/ s].The electric energy now consumed in the motor can go out according to the property calculation of pump and motor, and namely this is the energy needed for the cooling in runout table 129.
In each situation of the pump operation of energy calculation unit 33 such as when spraying and pump operation when dallying, the electric energy that calculating motor consumes, by being added, thus calculates descale machine and the energy needed for injector.
Next, the energy that the machining of energy calculation unit 33 pairs of stockings 150 needs calculates.The processing of stocking 150 and the energy needed for distortion mainly consume in rolling-mill housing.Phenomenon in rolling-mill housing is stated by the rolling die pattern in setup algorithm portion 31.That is, energy calculation unit 33 is according to the characteristic of stocking 150 and material temperature, calculates deformation drag, calculates rolling loads, carry out the rolling torque needed for distortion of Calculating material according to rolling loads according to deformation drag.The torque that motor will export becomes and adds the value after loss torque and accelerating torque to rolling torque.
Energy calculation unit 33 uses following (mathematical expression 2) and (mathematical expression 3) to calculate electric energy E (J) needed for motor.Here, power is set to P [W], torque is set to T [Nm], rotating speed is set to V [rad/s], t [H] will be set to the time.
P=T × V (mathematical expression 2)
E=P × t (mathematical expression 3)
And the torque needed for rolling of energy calculation unit 33 pairs of stockings 150 is predicted, determine fine finishining outlet side mill speed, calculate rolling time according to stocking 150 length in the transmission direction.Then, energy calculation unit 33, according to the electric energy E [J] calculated and rolling time, calculates the electric energy [during kJ=kW] needed for rolling of stocking 150, using the energy needed as the machining of stocking 150.
Next, the electric energy needed for transmission of energy calculation unit 33 pairs of stockings 150 calculates.Transmit because stocking 150 is shared by multiple motors, therefore energy calculation unit 33 is for 1 motor, and the weighing scale according to shared stocking 150 calculates torque, and calculates the delivery time according to the length of stocking 150 and transfer rate.Then, energy calculation unit 33 according to this torque and delivery time, and uses above-mentioned (mathematical expression 2) and (mathematical expression 3), calculates the electric energy [kJ] needed for transmission of stocking 150.In addition, the electric energy transmitted in heating furnace 101 needed for stocking 150 also will be added to the electric energy needed for the transmission of stocking 150.
Then, energy calculation unit 33 calculates and adds the energy after electric energy, using the gross energy needed for the rolling as stocking 150 to fuel energy required in above-mentioned each equipment.
Rolling operation parameter after Optimization Dept.'s 34 pairs of heating furnace conditions and heating furnace extract is optimized, and has both guaranteed final material, has reduced energy consumption again.Specifically, Optimization Dept. 34 makes setup algorithm portion 31 calculate the following control setting value of hot-rolling arrangement 100, this control setting value makes in the scope that the material predicted by Wood quality prediction calculating part 32 meets the requirement material of outside input, and the gross energy needed for rolling of the stocking 150 calculated by energy calculation unit 33 is minimum.
<< effect >>
The effect of the optimization device 1 involved by the first embodiment of the present invention is described.
Fig. 5 is the flow chart of the flow process representing the process that the optimization device 1 involved by the first embodiment of the present invention carries out.
As shown in Figure 5, first, setup algorithm portion 31 determines whether the initial value (step S101) providing heating furnace condition and rolling operation parameter from outside.Here, as an example, enumerate provide heating furnace Extracting temperature using as heating furnace condition, provide fine finishining outlet side mill speed to be described for the situation of rolling operation parameter after extracting as heating furnace.In addition, the initial value of Extracting temperature and fine finishining outlet side mill speed also can be adopted and obtain with the following method: be such as stored in ROM12 by the form distinguished by steel grade and fine finishining target thickness of slab etc. in advance, setup algorithm portion 31, according to ROM12, extracts the heating furnace Extracting temperature corresponding with the steel grade provided from outside and fine finishining target thickness of slab and fine finishining outlet side mill speed.
Next, setup algorithm portion 31 performs furnace setpoint and calculates (step S102).Specifically, setup algorithm portion 31 according to the size of the stocking 150 under normal temperature and weight, calculate in order to stocking 150 is heated to heating furnace Extracting temperature, should in stove several hours in heating furnace 101.
Then, setup algorithm portion 31 performs setup algorithm (step S103).Specifically, setup algorithm portion 31 calculates other rolling conditions such as the roll gap setting value of stable rolling, making when being rolled with the initial value of provided heating furnace Extracting temperature and fine finishining outlet side mill speed, reaching temperature before the thickness as target of stocking 150, width, fine finishining outlet side temperature and up-coiler.In addition, the calculated value of the acceleration and deceleration of setup algorithm portion 31 and stocking long according to stocking material, until terminate to predict the position of the imaginary stocking in each moment with the winding of up-coiler 135 from heating furnace 101, using considers the radiation of the thermal balance of stocking 150 towards surrounding atmosphere, cross-ventilation, cooling water convection current, phase transformation, heating in processing, to the temperature model of the heat transfer etc. of roller, and according to heating furnace Extracting temperature and fine finishining outlet side target temperature and the target temperature that reels, setting one-level descale machine 103, secondary descale machine 117, finishing mill 119, and the injector of runout table 129, and calculate the temperature of the stocking 150 at each place place.
Next, Wood quality prediction calculating part 32 performs Wood quality prediction and calculates (step S105).Specifically, Wood quality prediction calculating part 32 to when utilizing the control setting value that calculated by setup algorithm portion 31 to be rolled, the material of the stockings such as engineering properties 150 such as yield stress after winding and hot strength predicts.Here, as material, enumerate the hot strength (TS after prediction winding cal) be described for example.
Optimization Dept. 34 judges whether material meets the demands material (step S107).Specifically, Optimization Dept. 34 judges the predicted value (TS of the hot strength calculated cal) be whether predeterminedly require material (TS th) more than.
In step S107, when being judged to not meet the demands material (no situation), within Optimization Dept. 34 determines whether to be in and computes repeatedly limited number of times (step S109).This is computed repeatedly limited number of times and is preset as arbitrary number.
In step S109, when be judged to be in compute repeatedly within limited number of times (situation being), Optimization Dept. 34 will change the size (step S111) of Δ Vm/s as the fine finishining outlet side mill speed of rolling operation parameter.
On the other hand, when be judged to have exceeded compute repeatedly limited number of times (no situation), the heating furnace Extracting temperature as heating furnace condition is changed the size (step S113) of Δ T DEG C by Optimization Dept. 34.
Like this, setup algorithm portion 31, Wood quality prediction calculating part 32, Optimization Dept. 34 are while change Δ V and Δ T, while compute repeatedly, thus the heating furnace Extracting temperature of offhand decision as heating furnace condition, the fine finishining outlet side mill speed as rolling operation parameter.
On the other hand, in step S107, when be judged to be material meet the demands material (situation being), energy calculation unit 33, according to heating furnace Objective extraction temperature, fine finishining outlet side mill speed and the rolling condition that calculated by setup algorithm portion 31, calculates the gross energy (step S115) consumed in hot-rolling arrangement 100.
Next, Optimization Dept. 34 judges the reduction whether enough little (step S117) of the gross energy calculated by energy calculation unit 33.Specifically, institute's energy requirement last computation result [kJ] is set to En-1, institute's this result of calculation of energy requirement [kJ] is set to En, and establishes threshold epsilon, determine whether to meet following (mathematical expression 4).Here, threshold epsilon is preset become such as 0.01.
| En-1-En |/En < threshold epsilon (mathematical expression 4)
In step S117, when being judged to be that the reduction of the gross energy calculated by energy calculation unit 33 is not enough little (no situation), within Optimization Dept. 34 determines whether to be in and computes repeatedly limited number of times (step S119).
In step S119, when be judged to be in compute repeatedly within limited number of times (situation being), Optimization Dept. 34 will change the size (step S121) of Δ V m/s as the fine finishining outlet side mill speed of rolling operation parameter.
On the other hand, in step S117, when being judged to be that the reduction of the gross energy calculated by energy calculation unit 33 is enough little (situation being), Optimization Dept. 34 judges the reduction whether enough little (step S123) of the gross energy calculated by energy calculation unit 33 further, when being judged to be that the reduction of the gross energy calculated by energy calculation unit 33 is not enough little (no situation), within Optimization Dept. 34 determines whether to be in and computes repeatedly limited number of times (step S125).
In step S125, when be judged to be in compute repeatedly within limited number of times (situation being), the heating furnace Extracting temperature as heating furnace condition is changed the size (step S127) of Δ T DEG C by Optimization Dept. 34.
On the other hand, in step S125, when be judged to have exceeded compute repeatedly limited number of times (no situation), Optimization Dept. 34 is selected to meet the demands material and the minimum heating furnace condition of energy input and rolling operation parameter (step S129).
As mentioned above, according to first embodiment of the invention involved optimization device 1, due to setup algorithm portion 31, Wood quality prediction calculating part 32, energy calculation unit 33, Optimization Dept. 34 is while change Δ V and Δ T, while compute repeatedly, thus make setup algorithm portion 31 calculate following control setting value, this control setting value makes in the scope that the material predicted by Wood quality prediction calculating part 32 meets the requirement material of outside input, make the gross energy that calculated by energy calculation unit 33 minimum, therefore, it is possible to determine while guaranteeing the requirement material of stocking 150, make the rolling condition that the gross energy of consumption is minimum.
That is, according to first embodiment of the invention involved optimization device 1, owing to comprising: setup algorithm portion, this setup algorithm portion calculates the control setting value of rolling device rolling in-process stock; Wood quality prediction portion, this Wood quality prediction portion, based on the control setting value calculated by setup algorithm portion, predicts the material of the stocking through rolling device rolling; Optimizing index amount calculating part, this optimizing index amount calculating part is based on the control setting value calculated by setup algorithm portion, and the amount calculating the index be optimized for rolling device rolling in-process stock is using as optimizing index amount; And Optimization Dept., this Optimization Dept. makes setup algorithm portion calculate following control setting value, this control setting value makes in the scope that the material predicted by Wood quality prediction portion meets the requirement material of outside input, make the optimizing index amount that calculated by optimizing index amount calculating part minimum, therefore, it is possible to make the control realization optimization of rolling equipment, make the product quality both guaranteeing stocking, make again to want the optimizing index amount of optimization minimum.
In addition, according to first embodiment of the invention involved optimization device 1, about the heating furnace Extracting temperature as heating furnace condition and the fine finishining outlet side mill speed as rolling operation parameter, calculate control setting value, make in the scope meeting the demands material, gross energy is minimum, but is not limited thereto.
Such as, as heating furnace condition, also the heating-up temperature of web heater 110 can be set to, as rolling operation parameter, at least one parameter in the thickness of slab of the rolling pathway number of the cooling condition of runout table 129, roughing mill 107 or finishing mill 119, the load distribution in each path and stocking 150 also can be set to.
In addition, according to first embodiment of the invention involved optimization device 1, has enumerated hot strength as the requirement material that will meet, but has been not limited thereto, also can be yield stress, brittle transition temperature, r value, hole expansibility etc. and their combination.
In addition, in first embodiment, enumerating the hot rolling system 300 that comprises hot-rolling arrangement 100 for example is illustrated, but be not limited thereto, be also applicable to the rolling system of rolling equipment comprising thin plate equipment of hot rolling, heavy plate rolling equipment, cold-rolling equipment, the rolling of sectional iron equipment of iron and steel, bar steel, the rolling equipment of wire rod or aluminium, copper.
< second embodiment >
In first embodiment, enumerating following optimization device 1 for example is illustrated, and this optimization device 1 calculates and controls setting value, and the material of stocking 150 is met the demands material, and establish the index and optimizing index that make the energy needed for rolling realize optimizing, make this optimizing index minimum.
But optimizing index is not limited to energy, can be different according to factory, activity duration, steel grade etc.Therefore, the CO that fuel energy, electric energy, the energy consumption per unit of output value, cost, unit output value cost, rolling such as also can be used to discharge 2peak power when amount, rolling, using as optimizing index, replaces the gross energy needed for rolling.
In second embodiment, enumerating following optimization device is that example is described, and this optimization device selects optimizing index, calculates and controls setting value, the material of stocking 150 is met the demands material, and the optimized amount of selected optimizing index is optimized.
The optimization device 1 involved by the first embodiment shown in optimization device 1A and Fig. 1 involved by second embodiment is similar, is connected with the control device 200 controlling hot-rolling arrangement 100.
In addition, the optimization device 1A involved by 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 marking identical label respectively comprised with the optimization device 1 involved by the first embodiment is identical, therefore omit the description.
Fig. 6 is the structure chart of the structure of the CPU11A included by optimization device 1A represented involved by the second embodiment of the present invention.
As shown in Figure 6, CPU11A at it functionally, comprises setup algorithm portion 31, Wood quality prediction calculating part 32, Optimization Dept. 34, optimizing index selection portion 35 and optimizing index amount calculating part 36.Wherein, for setup algorithm portion 31, Wood quality prediction calculating part 32 and Optimization Dept. 34, because the structure marking identical label respectively comprised with the optimization device 1 involved by the first embodiment is identical, therefore omit the description.
Optimizing index selection portion 35 is to as the CO discharged in the gross energy of optimizing index, fuel energy, electric energy, the energy consumption per unit of output value, cost, unit output value cost, rolling 2any one in peak power when discharge capacity, rolling is selected.
Optimizing index amount calculating part 36 is according to the control setting value calculated by setup algorithm portion 31, and the amount calculating the optimizing index selected by optimizing index selection portion 35 is using as optimizing index amount.
<< effect >>
The effect of the optimization device 1A involved by the second embodiment of the present invention is described.
Fig. 7 is the flow chart of the flow process representing the process that the optimization device 1A involved by the second embodiment of the present invention carries out.In addition, in the treatment step of the flow chart shown in Fig. 7, mark is had to the process of the number of steps identical with the treatment step in the flow chart shown in Fig. 5, owing to being respectively same treatment, therefore omit the description.
In step S201, optimizing index selection portion 35 is to as the CO discharged in the gross energy of optimizing index, fuel energy, electric energy, the energy consumption per unit of output value, cost, unit output value cost, rolling 2any one in peak power when discharge capacity, rolling is selected.
In step S215, any one amount in optimizing index amount calculating part 36 calculation optimization index amount.In addition, about the gross energy needed for rolling, fuel energy, electric energy, due to identical with the computational methods of the gross energy that the energy calculation unit 33 that the optimization device 1 involved by the first embodiment of the present invention comprises is carried out, fuel energy, electric energy, therefore omit the description.
Optimizing index amount calculating part 36 is when unit of account output value energy consumption, first, the energy calculation unit 33 comprised with the optimization device 1 involved by the first embodiment of the present invention is similar, calculate fuel energy use amount 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 set to Es [kJ/ton], fuel energy use amount is set to Ef [kJ], electric energy use amount is set to Ee [kJ], output is set to S [ton].
Es=(Ef+Ee)/S (mathematical expression 5)
In addition, optimizing index amount calculating part 36 is at calculating CO 2when discharge capacity, CO2 emission coefficient is used to calculate.Here, CO2 emission coefficient is for calculating the coefficient having discharged how many carbon dioxide when consume fuel and electric power.Such as, about natural gas, determine as 0.5526kg-C/kg (when making 1kg combustion of natural gas, the carbon of discharge 0.5526kg) or 2.025kg-CO 2/ kg (when making 1kg combustion of natural gas, the carbon dioxide of discharge 2.025kg).If use 1kWh electric power, then carbon dioxide is defined as 0.555kg-CO 2/ kWh.
Therefore, the energy calculation unit 33 that optimizing index amount calculating part 36 comprises with the optimization device 1 involved by the first embodiment of the present invention is similar, calculates fuel energy use amount Ef and electric energy use amount Ee, and uses following (mathematical expression 6) to calculate CO 2discharge capacity.Here, if CO 2discharge capacity Mg [kg], emission factor Kf [kg-CO for 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, optimizing index amount calculating part 36 is when assessing the cost, first, the energy calculation unit 33 comprised with the optimization device 1 involved by the first embodiment of the present invention is similar, calculate fuel energy use amount Ef and electric energy use amount Ee, and use following (mathematical expression 7) to calculate cost.Here, cost is set to C [yen], unit output value fuel cost is set to Fg [yen/kg], the unit output value electricity charge are set to Eg [yen/kWh].
C=Ef × Fg+Ee × Eg (mathematical expression 7)
In addition, optimizing index amount calculating part 36 is when unit of account volume cost, and the cost C calculated by using (mathematical expression 7) divided by output S [ton], thus calculates unit output value cost Cg.
In addition, optimizing index amount calculating part 36 is when calculating peak power, the position of the stocking 150 in each moment that the calculated value of the acceleration and deceleration of and stocking 150 long based on stocking material according to setup algorithm portion 31 dopes and the use power of each equipment calculated by energy calculation unit 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 arranges monitored object (such as a certain stocking from heating furnace extract winding terminate till, a cycle of operation is medium), in this period, monitoring the power in each moment that the rolling line calculated by (mathematical expression 8) uses, being set to peak power by using power Ep (t) in prominent moment.Here, the power that a certain moment t uses in rolling line is set to Ep (t) [kWh], the power that a certain moment t uses in a certain equipment is set to Eu (t) [kWh].
Ep (t)=∑ equipment(Eu (t)) (mathematical expression 8)
In step S217 and step S223, Optimization Dept. 34 determines whether to be optimized the amount of the optimizing index calculated by optimizing index amount calculating part 36.
Fig. 8 is the figure of the example representing when selecting each optimizing index in the optimization device 1A involved by the second embodiment of the present invention, judging for the end computed repeatedly that is optimized.
Optimization Dept. 34 calculates the rolling condition of meet the demands material and optimizing index amount the best by computing repeatedly.Such as, at selection CO 2discharge capacity is using when as optimizing index, and Optimization Dept. 34 calculates CO by computing repeatedly 2the rolling condition that discharge capacity is minimum.
Therefore, Optimization Dept. 34 perform compute repeatedly until as shown in Figure 8, selected optimizing index amount reach optimization compute repeatedly terminate benchmark.
Compute repeatedly termination condition and arrange except restriction to number of repetition except the viewpoint from computing time, also to compute repeatedly and the optimizing index amount that middle optimizing index amount calculating part 36 calculates that computes repeatedly of last time compares corresponding time, judge whether optimizing index amount converges on the best.
Such as, at selection CO 2discharge capacity using when as optimizing index, by with CO 2whether the minimizing amplitude compared of the last computation result of discharge capacity is enough little judges.
As mentioned above, optimization device 1A involved second embodiment of the invention, following control setting value is calculated owing to making setup algorithm portion 31, this control setting value makes in the scope that the material predicted by Wood quality prediction calculating part 32 meets the requirement material of outside input, the CO discharged in the gross energy as optimizing index amount making to be calculated by optimizing index amount calculating part 36, fuel energy, electric energy, the energy consumption per unit of output value, cost, unit output value cost, rolling 2any one amount in peak power when discharge capacity, rolling is minimum, therefore, it is possible to while guaranteeing the requirement material of stocking 150, from various optimizing index, select desired optimizing index, and determine the minimum rolling condition of optimizing index amount that makes this select.
In addition, in the second embodiment of the present invention, CPU11A performs the process shown in Fig. 7 for each stocking, but is not limited thereto, such as also can the single roller cycle of operation from roll change to roll change of milling train medium longer during perform.
In addition, in the second embodiment of the present invention, optimizing index selection portion 35 is optimized the selection of index in advance, and the optimization having carried out making this optimizing index become the best calculates, but be not limited thereto, also can be optimized calculating to each optimizing index, make to become best separately to multiple optimizing index, and after all optimization calculating terminates, select optimizing index, and determine rolling condition.
< the 3rd embodiment >
Then, the optimization device 1B involved by the 3rd embodiment of the present invention is described.
In the first embodiment of the present invention, enumerating optimization device 1 for example is illustrated, and this optimization device 1 calculates and controls setting value, and the material of stocking 150 is met the demands material, and establish the index and optimizing index that make the energy needed for rolling realize optimizing, make this optimizing index minimum.
In the 3rd embodiment of the present invention, enumerating optimization device 1B is that example is described, this optimization device 1B calculates and controls setting value, make in the single roller cycle of operation from roll change to roll change of roughing mill 107 or finishing mill 119 (such as, if with the timing in roll change, be then the roll change from this roll change to next time) all stockings 150, all meet material to require and output (output of time per unit), and make the total amount of the energy needed for the rolling in the cycle of operation minimum.
The optimization device 1 involved by the first embodiment shown in optimization device 1B and Fig. 1 involved by 3rd embodiment of the present invention is similar, is connected with the control device 200 controlling hot-rolling arrangement 100.
In addition, the optimization device 1B involved by the 3rd embodiment of the present invention has the structure identical with the optimization device 1 involved by the first embodiment shown in Fig. 2, therefore omits the description.
<< effect >>
The effect of the optimization device 1B involved by the 3rd embodiment of the present invention is described.
Fig. 9 is the flow chart of the flow process representing the process that the optimization device 1B involved by the 3rd embodiment of the present invention carries out.
As shown in Figure 9, the setup algorithm portion 31 of CPU11 performs optimization calculating (step S301) of the stocking 150 in the cycle of operation of roughing mill 107 or finishing mill 119.Specifically, CPU11 is for all stockings 150 be rolled in the roller cycle of operation of calculating object, perform the process identical with the process that the optimization device 1 involved by the first embodiment of the present invention shown in Fig. 5 carries out, use the method optimized and calculate, heating furnace Extracting temperature and fine finishining outlet side mill speed is calculated respectively before loading heating furnace, make the stocking 150 of calculating object meet material requirement, and energy needed for the rolling of each root of object stocking 150 is minimum.
Next, the setup algorithm portion 31 of CPU11 performs and extracts spacing setting calculating (step S303).Specifically, in step S301, for each stocking in the roller cycle of operation of calculating object, calculate best rolling operation parameter.Therefore, it is known for how the rolling line of stocking 150 after extracting from heating furnace 101 moving.Therefore, setup algorithm portion 31 calculates according to this information the extraction spacing τ that stocking 150 can not clash with the stocking 150 previously transmitted on rolling line i.Here, spacing τ is extracted ibe set to the heating furnace extraction time interval between stocking 150 and the stocking 150 previously transmitted.
Then, setup algorithm portion 31 judges the extraction spacing τ that calculates iwhether meet the demands output (step S305).Specifically, setup algorithm portion 31 determines whether to meet following (mathematical expression 9).
∑ iτ i≤ T mAX(mathematical expression 9)
Here, T mAXit is the maximum time can expended from the view point of the rolling of all stockings 150 of the roller cycle of operation requiring output, calculating object.About extraction spacing τ iinitial value, such as select the spacing that the stocking 150 the shortest extraction interval that can not clash is shorter.
Utilize the treatment step of step S303 and S305, setup algorithm portion 31 can calculate meet the demands output and the extraction spacing that can not clash between stocking 150 on rolling line.
Next, setup algorithm portion 31 is according to the extraction target temperature of each stocking 150 and extraction spacing τ i, perform furnace temperature setup algorithm (step S307).Shown in the bright work corona company (publishing for 2002) of the control of computational methods such as in document steel and iron industry (iron Steel industry To ぉ け Ru system is driven) high bridge of the furnace temperature of heating furnace 101.
Then, setup algorithm portion 31 judges whether can reach Objective extraction temperature (step S309) for all stockings 150 of the roller cycle of operation.
In step S309, when being judged to reach Objective extraction temperature (no situation), setup algorithm portion 31 changes the extraction spacing of the stocking 150 that cannot reach Objective extraction temperature in the scope not occurring with the stocking 150 previously transmitted to disturb, similar with step S307, perform furnace temperature setup algorithm (step S311).
Then, setup algorithm portion 31 judges whether can reach Objective extraction temperature (step S313) for all stockings 150 of the roller cycle of operation.
In step S313, when being judged to reach Objective extraction temperature (no situation), within setup algorithm portion 31 determines whether to be in and computes repeatedly limited number of times (step S315).
In step S315, when be judged to have exceeded compute repeatedly limited number of times (no situation), setup algorithm portion 31 changes cannot reach the Objective extraction temperature (step S317) of the stocking 150 of Objective extraction temperature.About the change of Objective extraction temperature, be obtain in the computational process to each root of stocking 150, institute's energy requirement close to least energy and the material that meets the demands, the Objective extraction temperature that only utilizes Control for Kiln Temperature just can realize selects.Or for the stocking 150 that cannot reach Objective extraction temperature, the optimization again performed in step S301 calculates, thus to meeting that material requires, institute's energy requirement is less and Objective extraction temperature that is that only utilize Control for Kiln Temperature just can reach calculates.
On the other hand, in step S313, when being judged to reach Objective extraction temperature (situation being), namely, when can carry out furnace temperature setting to make in a certain extraction spacing, all stockings 150 can reach Objective extraction temperature such, energy calculation unit 33 calculates all energy (step S319) needed for rolling of the corresponding cycle of operation.Such as, energy calculation unit 33 is added after calculating the electric energy that consumes in the fuel energy and other equipment that consume in heating furnace respectively, thus calculates all energy needed for rolling of the corresponding cycle of operation.
In addition, when setup algorithm portion 31 carries out furnace temperature setup algorithm, owing to calculating the furnace temperature pattern in the cycle of operation, therefore energy calculation unit 33 is according to this furnace temperature pattern, calculate atmosphere temperature rise needed for the efficiency that causes from wall escape etc. of energy, heat decline, stocking heat up needed for energy, calculate the consumption of fuel energy further accordingly.
Be added by the energy needed for the rolling of each root by above-mentioned stocking 150 thus calculate electric energy.In addition, the energy needed for idle running is also comprised.
Next, Optimization Dept. 34 judges the reduction whether enough little (step S321) of all energy needed for the rolling of the corresponding cycle of operation.
In step S321, the reduction of all energy needed for the rolling being judged to be the corresponding cycle of operation is not enough little (no situation), within Optimization Dept. 34 determines whether to be in and computes repeatedly limited number of times (step S323).
In step S323, when be judged to be in compute repeatedly within limited number of times (situation being), process is transferred to step S303, when be judged to have exceeded compute repeatedly limited number of times (no situation), end process.
Like this, can change and extract spacing and make to meet material require and output requirement and the minimum extraction spacing of energy to obtain, and carry out above-mentioned calculating until exceed appointment number of repetition, or, until energy reduces amplitude become below designated value.
As mentioned above, according to the optimization device 1B involved by the 3rd embodiment of the present invention, because Optimization Dept. 34 makes setup algorithm portion 31 calculate following control setting value, this control setting value makes the requirement treating capacity meeting outside input in the treating capacity of stocking 150, and the material being equivalent to all stockings 150 for the treatment of capacity predicted by Wood quality prediction calculating part 32 meets in the scope of the requirement material of outside input, make by energy calculation unit 33 calculate to be rolled required optimizing index amount to the stocking 150 being equivalent to treating capacity minimum, therefore, it is possible to make the control realization optimization of rolling equipment, make for all stockings 150 such as in the single roller cycle of operation from roll change to roll change of roughing mill 107 or finishing mill 119, all both guarantee the product quality of stocking 150, make again to want the optimizing index amount of optimization minimum.
In addition, in the optimization device 1B involved by the 3rd embodiment of the present invention, about each stocking of rolling in single roller cycle of operation, extract spacing, heating furnace Extracting temperature, fine finishining outlet side mill speed, describe and make to meet material requirement and output requirement, and the method that energy is minimum, but be not limited to and extract spacing and Extracting temperature, fine finishining outlet side mill speed, about to the cooling condition in runout table, rolling pathway number, the load distribution in each path, the heating condition etc. of web heater carries out situation about changing, also similar to the above, the heating furnace condition in setup algorithm portion 31 and rolling condition can be changed, under this condition, the Wood quality prediction repeated performed by Wood quality prediction calculating part 32 calculates, with energy calculation unit 33 performed by be rolled under the rolling condition calculated by setup algorithm portion 31 when energy balane, Optimization Dept. 34 is utilized to determine to meet material requirement, and the rolling condition that energy is minimum.
In addition, in optimization device 1B involved by 3rd embodiment of the present invention, be illustrated making the minimum situation of the gross energy needed for rolling, but it is similar with the optimization device 1A involved by the second embodiment of the present invention, comprise optimizing index selection portion 35 and optimizing index amount calculating part 36, can rolling line be optimized, make the fuel energy shown in Fig. 8 and electric energy, the energy consumption per unit of output value, CO 2the optimizing index such as discharge capacity, cost, unit output value cost, peak power become best.
In addition, also by performing the optimizer that is installed in computer thus realizing above-mentioned embodiment.Namely, this optimizer such as by reading from the recording medium storing optimizer, and performed by CPU, thus any one optimization device formed in optimization device 1 ~ 1B, also can carry out transmitting and installing via communication network, performed by CPU, thus form any one optimization device in optimization device 1 ~ 1B.
Industrial practicality
The present invention can be applicable to the optimization device set the control device controlling hot-rolling arrangement.

Claims (6)

1. an optimization device, is characterized in that, comprising:
Setup algorithm portion, this setup algorithm portion calculates the control setting value of rolling device rolling in-process stock;
Wood quality prediction portion, this Wood quality prediction portion, based on the control setting value calculated by described setup algorithm portion, predicts the material of the stocking through described rolling device rolling;
Optimizing index amount calculating part, this optimizing index amount calculating part is based on the control setting value calculated by described setup algorithm portion, and the amount calculating the index be optimized for stocking described in described rolling device rolling is using as optimizing index amount; And
Optimization Dept., this Optimization Dept. makes described setup algorithm portion calculate following described control setting value, this control setting value makes in the scope that the material predicted by described Wood quality prediction portion meets the requirement material of outside input, make the optimizing index amount that calculated by described optimizing index amount calculating part minimum
Described Optimization Dept. perform compute repeatedly until described in the optimizing index amount that calculates reach optimization and compute repeatedly and terminate benchmark,
Described optimization computes repeatedly and terminates benchmark and refer to from the viewpoint of computing time and arrange restriction to number of repetition; And to corresponding time compute repeatedly and optimizing index amount that described in the computing repeatedly of last time, optimizing index amount calculating part calculates compares time, the minimizing amplitude of described optimizing index amount compared with last computation result is enough little.
2. optimization device as claimed in claim 1, is characterized in that,
Described optimizing index amount calculating part
Based on the control setting value calculated by described setup algorithm portion, namely the energy calculated described in described rolling device rolling needed for stocking uses energy, using as optimizing index amount.
3. optimization device as claimed in claim 1 or 2, is characterized in that,
Described Optimization Dept.
Described setup algorithm portion is made to calculate following described control setting value, in the roller cycle of operation that this control setting value makes the roller possessed at described rolling device, the treating capacity of the stocking of rolling meets the requirement treating capacity of outside input and the material being equivalent to all stockings of described treating capacity predicted by described Wood quality prediction portion meets in the scope of the requirement material of outside input, make by described optimizing index amount calculating part calculate to be rolled required optimizing index amount to the stocking being equivalent to described treating capacity minimum.
4. an optimization method, is characterized in that, has:
Setup algorithm step, in this setup algorithm step, calculates the control setting value of rolling device rolling in-process stock;
Wood quality prediction step, in this Wood quality prediction step, based on the control setting value calculated by described setup algorithm step, predicts the material of the stocking through described rolling device rolling;
Optimizing index amount calculation procedure, in this optimizing index amount calculation procedure, based on the control setting value calculated by described setup algorithm step, the amount calculating the index be optimized for stocking described in described rolling device rolling is using as optimizing index amount; And
Optimization Steps, in this Optimization Steps, described setup algorithm step is utilized to calculate following described control setting value, this control setting value makes in the scope that the material predicted by described Wood quality prediction step meets the requirement material of outside input, make the optimizing index amount that calculated by described optimizing index amount calculation procedure minimum
Described Optimization Steps perform compute repeatedly until described in the optimizing index amount that calculates reach optimization and compute repeatedly and terminate benchmark,
Described optimization computes repeatedly and terminates benchmark and refer to from the viewpoint of computing time and arrange restriction to number of repetition; And to corresponding time compute repeatedly and optimizing index amount that described in the computing repeatedly of last time, optimizing index amount calculation procedure calculates compares time, the minimizing amplitude of described optimizing index amount compared with last computation result is enough little.
5. optimization method as claimed in claim 4, is characterized in that,
In described optimizing index amount calculation procedure,
Based on the control setting value calculated by described setup algorithm step, namely the energy calculated described in described rolling device rolling needed for stocking uses energy, using as optimizing index amount.
6. the optimization method as described in claim 4 or 5, is characterized in that,
In described Optimization Steps,
Described setup algorithm step is utilized to calculate following described control setting value, in the roller cycle of operation that this control setting value makes the roller possessed at described rolling device, the treating capacity of the stocking of rolling meets the requirement treating capacity of outside input and the material being equivalent to all stockings of described treating capacity predicted by described Wood quality prediction step meets in the scope of the requirement material of outside input, make by described optimizing index amount calculation procedure calculate to be rolled required optimizing index amount to the stocking being equivalent to described treating capacity minimum.
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