CN101253005A - Device for forecasting and controlling material quality of roll line - Google Patents
Device for forecasting and controlling material quality of roll line Download PDFInfo
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- CN101253005A CN101253005A CNA200680001083XA CN200680001083A CN101253005A CN 101253005 A CN101253005 A CN 101253005A CN A200680001083X A CNA200680001083X A CN A200680001083XA CN 200680001083 A CN200680001083 A CN 200680001083A CN 101253005 A CN101253005 A CN 101253005A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
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- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
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Abstract
A rolling line material prediction and material control apparatus for controlling the material with high accuracy by having a function of simulating the variation course of a process and complementing information to improve the prediction accuracy of a material model. The apparatus has a rolling record information collecting function of collecting rolling record information obtained from a sensor for measuring the state of a hot rolling line and the state of a rolled steel sheet and from the controller for controlling the hot rolling line, process information supplement function for predicting process intermediate information representing the intermediate state of the rolling line not collectable as rolling record information on the basis of the rolling record information, fixed information such as the machine dimensions,; and target information such as on the thickness and width of the rolled steel sheet, material prediction function for predicting the material of the rolled steel sheet in synchronism with the progress of the rolling record information and the process intermediate information on the basis of the rolling record information and the process intermediate information, and material control function of making a control so that the predicted material agrees with the target one.
Description
Technical field
The present invention relates to a kind of material prediction and material control device that is used to obtain the roll line of desired material, it can make the product of desired size shape on the line of rolled metal raw material.
Background technology
In metal material based on steel, mechanical property (intensity, formability, toughness etc.), electromagnetic property materials such as (magnetic conductivities) not only change according to its alloy composition, also can change according to heating condition, processing conditions and cooling condition.Though the addition by control composition element carries out the adjustment of alloy composition, use can keep the adjustment composition stove of the molten steel about 100 tons etc. when but composition was adjusted, can make 1 batch unit become big, can not change addition each product of about 15 tons.Therefore, in order to make the product of desired material, just must under correct heating condition, processing conditions and cooling condition, make material.
Past, terms and conditions for heating, processing and cooling, every sample product specification decides size objectives value after heating-up temperature desired value, the processing, cooling velocity desired value etc. according to the experience of accumulation all the year round, in order to realize this target, generally takes to carry out temperature control and dimension control method.But, more and more higher significantly for the requirement of product specification in recent years, and variation, experiential determining method may not suitably determine desired value, thereby the situation of desired material can occur obtaining.
Therefore, we know that a kind of method is, take the actual value of thickness of slab, material temperature in rolling, by with these input data as the material forecast model, thereby attempt to improve precision.This method according to rolling beginning before the one-tenth score value, steel size, the steel material guarantee value after rolling of steel, adopt the material model, decide heating condition, rolling condition and cooling condition, if after heating process, roughing system operation and finish rolling system operation, obtain thickness of slab, material temperature, the actual value by time, roller footpath, roller rotating speed again, then according to these measured values, and employing material model, redefine later predetermined rolling condition or the cooling condition of subsequent processing, thereby the deviation (for example, with reference to patent documentation 1) that suppresses the product material.
In addition, we know a kind of control method that changes the material model and adopt neutral net.This method is the characteristic that has by the metal material after detection processing back or the heat treatment, and gives neutral net as training data, thereby attempts to improve the precision of prediction (for example, with reference to patent documentation 2) that utilizes neutral net.
Patent documentation 1: No. the 2509481st, Japan Patent
Patent documentation 2: TOHKEMY 2001-349883 number
But, in the method that adopts the material forecast model, as the actual value of in the material prediction, using, be after steel heating back, roughing system, after the finish rolling system, the actual value of the front and back of each process of obtaining after the cooling, do not utilize the information in the middle of the process.At this moment, even for example the temperature of rolling stock is being crossed the Cheng Qian height, step-down after process, but compared the situation that the Cheng Qian temperature rises in the middle of also can appearing at process, only may not necessarily access high-precision predicting the outcome according to context.
On the other hand, changing the material model and adopting in the control method of neutral net, though detect the characteristic that the metal material after processing back or the heat treatment has, and give neutral net as training data, thereby attempt to improve the precision of prediction that utilizes neutral net, but the problem that exists is, above-mentioned such heating condition, the relation of the material of processing conditions and cooling condition and product is extremely complicated, in order more accurately it to be simulated, the large-scale neutral net that must relate to multilayer for its study, then must provide huge training data, in order to improve precision, need spended time.Certainly, if use small-scale neutral net, then a spot of training data gets final product, but at this moment has the problem that defines the opereating specification that can be suitable for.
The present invention proposes in order to address the above problem just, a kind of material prediction and material control device of controlling the roll line of material accurately is provided, it is by the change procedure of simulation process, and has the function of side information, thereby improves the precision of prediction of material model.
Summary of the invention
The material prediction and the material control device of roll line related to the present invention, be the device of controlling with the temperature of the thickness of the rolled stock of the hot rolling line manufacturing of set point of temperature heating and rolled metal raw material and width equidimension shape and rolled stock utilizing, it has: the rolling actual information acquisition function of gathering the rolling actual information that obtains from the control device of the sensor of the state of measuring hot rolling line and rolled stock and control hot rolling line; Predict the procedural information supplementary functions of the process average information of the expression roll line intermediateness that can't gather as rolling actual information according to target informations such as the thickness of the intrinsic information of rolling actual information, each machine assembly etc., rolled stock and width; According to rolling actual information and process average information, be rolled actual information and process average information and predict the material forecast function of the material of rolled stock synchronously; And control make the material of prediction with as the corresponding to material control of the material of target function.
In addition, rolling actual information acquisition function and procedural information supplementary functions are computer implemented by other.
In addition, the procedural information supplementary functions is to be made of the simulator based on rolling model, and carries out by being rolled, and in order to improve the precision of rolling model, has the rolling model learning functionality that adopts rolling actual information to be rolled the study of model.
In addition, the material forecast function is the material model according to expression material state variation, and can carry out by being rolled, in order to improve the precision of material model, have the material model learning function that adopts the rolling back material information of measuring to carry out the study of material model.
If employing the present invention can realize that a kind of material of hot rolling line predicts and the material control device that it realizes desirable material easily.In addition, replenished, can access higher material prediction of precision and material control from unmeasured information in the actual value of sensor etc.In addition, because rolling actual information acquisition function and procedural information supplementary functions are computer implemented with other, so can operation and existing function not produced interference and additional brand-new function.
Description of drawings
Fig. 1 is the material prediction of roll line in the expression embodiment of the invention 1 and the integrally-built block diagram of material control device.
Fig. 2 is the block diagram of the detailed structure of the material prediction of roll line in the expression embodiment of the invention 1 and material control device.
Fig. 3 is the block diagram of the detailed structure of the material prediction of roll line in the expression embodiment of the invention 1 and material control device.
Fig. 4 is the block diagram of the detailed structure of the material prediction of roll line in the expression embodiment of the invention 1 and material control device.
Fig. 5 is the block diagram of the detailed structure of the material prediction of roll line in the expression embodiment of the invention 1 and material control device.
Fig. 6 is the block diagram of the detailed structure of the material prediction of roll line in the expression embodiment of the invention 1 and material control device.
Fig. 7 is the block diagram of the detailed structure of the material prediction of roll line in the expression embodiment of the invention 1 and material control device.
Fig. 8 is the material prediction of roll line in the expression embodiment of the invention 2 and the integrally-built block diagram of material control device.
Label declaration
1 roll line
2 host computers
3 set control computer
4 material check systems
5 rolling actual information acquisition functions
6 procedural information supplementary functions
7 material forecast functions
8 materials control function
9 rolled stocks
10 rolling machine frames
11 water cooling plants
12 entrance side thermometers
13 outlet side thermometers
14 rolls
15 rolling models
16 simulators
17 rolling model learning functionalities
18 material model learning functions
19 material models
20 heating furnaces
21 scale descalers
22,23 roughing mills
24 outlet side thermometers
25 croppers
26 scale descalers
27 finishing mills
28 runout tables
29 up-coilers
30 outlet side thermometers, plate are pressed meter etc.
31 active computers
32 other computers
The specific embodiment
In order to illustrate in greater detail the present invention, embodiment is described with reference to the accompanying drawings.
Fig. 1 is the material prediction of roll line in the expression embodiment of the invention 1 and the structured flowchart of material control device.On roll line 1, through under the temperature of regulation to the rolled stock that forms by raw metal heat, the process of rolling, cooling etc., make product again.On roll line 1, have: the screwdown gear of the aperture of the motor drive of heater, driven roller, change roller and cooling device etc., the thickness of the rolled stock of control manufacturing and the temperature of width equidimension shape and rolled stock, but omit diagram.
About the setting on the roll line 1 control, at first make what kind of product by host computer 2 decisions, will comprise then this product specification for example the rolling order of information such as thickness, width, cross sectional shape send to and set control computer 3.In setting control computer 3, in order to realize desirable product quality, calculate, control and calculate and carry out essential setting, and controlled rolling line 1.At this moment in setting control computer 3, general because must carry out prediction and calculation according to rolling model etc., thus generally rolling model to be arranged on inside, and for this model being carried out the self adaptation correction, and predicted value and rolling actual value are compared.
Therefore, the function of gathering or managing rolling actual value must be arranged, realize rolling actual information acquisition function 5.The positional information that this rolling actual information acquisition function 5 is gathered rolled stocks, or along with the advancing of rolled stock, the value of measuring with the thermometer, force cell, thickness of slab meter, the wide meter of plate, the collection of strip crown flowmeter sensor that are set on the roll line.The data conduct of gathering spreads all over the data storing of rolled stock total length, or the information that is used as at every moment shows.In setting control computer 3, realize under the situation that this rolling actual information acquisition function 5 has, in other computer, realize under the situation about also having.For example, if on existing roll line 1, had function with rolling actual information acquisition function 5 equivalences, then also can utilize.
The necessary condition of rolling actual information acquisition function 5 of the present invention is to wish and can will send to procedural information supplementary functions 6 with the data of each sensor mensuration and the positional information of rolled stock in real time.But, also can not be in real time, but the delay of a little is arranged.
Procedural information supplementary functions 6 is simulations than the function in the phenomenon of roll line 1 generation of data, information or the data that obtain from sensor that only can not measure with rolling actual information acquisition function 5, the more detailed operation of rolling of information, cooling procedure etc.Procedural information supplementary functions 6 can realize that employing can show the rolling model of Dynamic Rolling Process phenomenon by simulator, thus the process of and cooling rolling with numerical reconstruction.
The data of the rolled stock of making through process such as rolling and cooling about the average information of detailed rolling and cooling etc. and rolled stock (product) that material forecast function 7 is the data that will collect with rolling actual information acquisition function 5 and information, calculate with procedural information supplementary functions 6 and information is by 4 inputs of material check system, and predicts material according to these information.The model of prediction material is not a model of predicting in the past like that material according to the output information of the expressions such as sensor information of roll line 1, and must use can change the model of the variation that shows material with the small time.In material forecast function 7, if rolled stock is to make product after through processes such as rolling, coolings, then check rolled stock (product), and import the material check result with material detection system 4.
Explain implementation method, the material forecast model in the material forecast function 7 and the implementation method of material control function 8 of procedural information supplementary functions 6 below.
At first narrate the implementation method of procedural information supplementary functions 6.
Fig. 2 represents an example of actual rolling middle variations in temperature appearance.Come rolling rolled stock 9 with No.i rolling machine frame 10i, be transported to No.i+1 rolling machine frame 10i+1 during, water cooling plant 11 is set.The Temperature Distribution of expression thickness of slab direction of the rolled stock 94 in Fig. 2 from position 1 to the position.In the Temperature Distribution on the position 1 before rolling with No.i rolling machine frame 10i, the measured value of utilizing the entrance side thermometer 12 of No.i rolling machine frame 10i to obtain is that the surface temperature of rolled stock 9 upsides is 945 ℃, but because general internal temperature height, thus this example illustrated be set the inside center temperature and will exceed+20 ℃.Because the surface of roll 14 obtains the heat of rolled stock 9, therefore the bulk temperature of the rolled stock 9 at 2 places reduces in the position, simultaneously enlarged surface temperature and internal temperature is poor, so 925 ℃ of upper surface temperature described in example exactly that the measured value that the outlet side thermometer 13 after utilizing No.i rolling machine frame 10i rolling obtains is represented and central temperature will exceed 30 ℃ situation.In the position 3, because the internal temperature of rolled stock 9 is transmitted on the surface, promptly therefore backheat makes that surface and temperature inside difference diminish.4 places in the position owing to utilize water cooling plant 11 cooling surfaces, so reduce the bulk temperature of rolled stock 9 once more, simultaneously surface temperature and internal temperature difference expand to+30 ℃.
In order to capture these variations in temperature of rolled stock 9, all places that are difficult in roll line 1 are provided with thermometer, and rolled stock 9 temperature inside can only be by inferring in addition.Like this, only according to the information of measuring with thermometer, be difficult to positively grasp the situation of rolled stock 9 variations in temperature.Therefore in procedural information supplementary functions 6, calculate detailed information about rolling and cooling etc.
Fig. 3 represents to be used to calculate an example of the Temperature Distribution of rolled stock thickness of slab direction.Among Fig. 3, on the thickness of slab direction, be divided into 4 parts, represent with so-called node respectively, the conduction of the heat between computing node again.In Fig. 3, use from so-called node i to node i+1 general description method represents.
Relational expression among Fig. 3 is as follows.If the continuous system of being expressed as then is a formula (1).
Here, the declaration of will of symbol is as follows.The example of representation unit also.
Q: the heat flow of time per unit [J/s]
K: pyroconductivity [J/ (msK)]
A: area [m
2]
T: the temperature of rolled stock [degC]
D: internodal distance [m]
X: the position of rolled stock thickness of slab direction
If represent, then be formula (2) with difierence equation.
Here, the declaration of will of symbol is as follows.The example of representation unit also.
Q
I → i+1: from the node i to the node i+heat flow [J/s] of 1 time per unit
K: pyroconductivity [J/ (msK)]
A
I → i+1: from the node i to the node i+sectional area [m between 1
2]
T
i: the temperature on the node i [degC]
The solution of difierence equation is as long as use general method just passable.
On the other hand, rolled stock is a boundary condition with the heat transmission of outside, for example uses formula (3) to represent.
Here, the meaning of symbol is as described below.
α: the coefficient of heat conduction [Wm
-2℃
-1]
R: contact ratio [-]
In addition, subscript R, W, A be contacting of expression and roll, cooling water, air respectively, for example α
RThe coefficient of heat conduction of expression and roll, r
RRepresent the ratio that contacts with roll.
Formula (3) also can convert difierence equation to, and uses computer solving.
Establishing among Fig. 2 on the thickness of slab direction of rolled stock has 5 nodes, and establishing among Fig. 3 on the thickness of slab direction of rolled stock has 4 nodes, but this is an example, if general thickness of slab is identical, then the node number is many more, can obtain the high result of calculation of precision more.If but too many, then owing to can make also that to calculate quantitative change big, and make that the raising of precision is unhappy, so must inquire into the selection of node number in advance.
As above-mentioned, rolled stock is along with rolling, marches forward in its position, is rolled the temperature computation of material downstream from the upstream.By carrying out temperature computation like this, can at length know the temperature information that the material to rolled stock has a significant impact.In addition, though in Fig. 2, only described as an example from the position 1 to the position 4 position, must carry out the more temperature computation of detail location certainly.
And in the plastic deformation of the rolled stock on rolling machine frame, the distortion in the roll gap is different because of width.For example, if at the rolling smooth plate of rolling machine frame entrance side, then because of roll bending, so form the state that so-called plate has convexity at the outlet side of rolling machine frame owing to rolling load-carrying.Promptly the amount of suffered plastic deformation is different on the central portion of plate width and plate end.Because the difference of amount of plastic deformation is influential for the material of rolled stock, must consider.
Fig. 4 represents the concrete structure of procedural information supplementary functions 6.In above-mentioned such procedural information supplementary functions 6, because have rolling model 15, and give suitable input, so can access detailed phenomenon rolling and cooling.Because must so for example rolling model 15 is realized as the simulator on the computer 16, carry out high-speed computation along with the preceding of rolled stock and then output temperature of rolled stock and processing capacity etc., obtain detailed status rolling and cooling by calculating.At this moment for example if temperature model then is equivalent to rolling model 15 from formula (1) to differential equation, the difierence equation shown in the formula (3).
But, in order to show actual rolling and cooling, must correctly learn rolling model 15, and rolling model 15 and the rolling of reality and cooling are adapted.Therefore, as shown in Figure 4, has rolling model learning functionality 17.The for example study of the temperature model shown in the formula (2) (3) is if the temperature that calculates differs 20% with the ratio of measuring the temperature that obtains with sensor, then with the pyroconductivity coefficient correction 20% in pyroconductivity in the formula (2) or the formula (3).Rolling model learning functionality 17 also can utilize the method for general announcement to realize.
Follow and explain material forecast function 7.
Fig. 5 represents the material model learning function 18 of material forecast function 7.At present, for the mensuration of rolled stock material, the experiment of the manual working in system the laboratory that iron had is the most correct, here with the material measured as standard, learn material model 19.In the material forecast model, owing to carry out the material prediction of final products, go back numerical value such as the hot strength of carrying out quantitative assessment in the computing laboratory test and ductility, therefore the value with calculated value and practical measurement compares, and the parameter of correction material model 19.
In the model of prediction material, various models have been proposed, the model that the formula group by the static crystallization again of expression, static recovery, dynamic recrystallization, dynamically recovery, grain growth etc. known to us is formed.As an example, be the model that in the rolling P198 of the plate of Technology of Plastic Processing series 7～229 (コ ロ Na society), discloses.In this textbook, putting down in writing theoretical formula and its original work.
In addition, under the situation about also having, use replaces using according to practical operation data, the simple model of being derived by statistical disposition, as such simple model, the model of publication on material and process Vol.17 (2004), 227 ((Choi) Japanese Steel Iron Association meeting) is for example arranged.
But as mentioned above, be not to use publication to predict the model of material, change the model that to represent that material changes but must use with the small time at the input/output information of employed expressions such as sensor information according to roll line 1 of above-mentioned 2 parts of diplomatic, past.
For example in the document below, expression is according to the prediction and calculation of the few increment solution of amount of calculation.
Incremental?Formulation?for?the?Prediction?of?Micro-structural?Change?inMulti-pass?Hot?Forming
ISIJ?International?Vol.39(1999)、No.2、pp.171-175
Jun?YANAGIMOTO?and?Jinshan?Liu
In the material forecast model, can find the solution each the phase particle diameter of the raw metal in each operation and volume fraction etc.Each is meant the state of austenite in the iron and steel, ferrite, pearlite, martensite etc. mutually.Make after the product,, be converted to numerical value such as hot strength as the material index, ductility, can compare with these numerical value in the laboratory test of reality according to these particle diameters, volume fraction etc.
Follow and explain material control function 8.
Fig. 6 and Fig. 7 represent the two states of material control.Roll line among Fig. 6, Fig. 7 represent heating furnace 20,21,2 roughing mills of scale descaler (R1) (R2) 22,23, the example of outlet side thermometer 24, cropper 25,26,7 finishing mills 27 of scale descaler, 28,1 up-coiler 29 of runout table.
Fig. 6 is in 1 rolled stock, in upstream process, for example roughing system operation, come pick-up transducers information etc. with rolling actual information acquisition function 5, in procedural information supplementary functions 6, obtain rolling detailed average information by calculating, in material forecast function 7, count particles diameter, volume fraction etc., and with it as input information, find the solution the such target rolled stock temperature of desirable particle diameter, volume fraction etc. in the finishing mill 27, target processing capacity etc.Use this tittle, calculate once more or revise with each amount of setting control computer 3 setting control as calculated.
Fig. 7 and Fig. 6 are slightly different, are with outlet side thermometer, thickness of slab meter etc. 30, obtain the information after the rolling end, and the setting control of next rolling rolled stock is revised.In Fig. 6 and Fig. 7, carry out a certain function at least.
Be depicted as the structure of embodiments of the invention 1 above, by such structure, can at length calculate the material of rolled stock according to only being used in information that the information that obtains from sensor etc. in rolling and the cooling etc. can't know, can predict and control material accurately.And, because the material forecast function is according to the material model of expression material state variation and can carry out by being rolled, so, have and adopt rolling back to measure the material model learning function that the material information that obtains is carried out the material model learning in order to improve the precision of rolling model.And in the realization of the procedural information supplementary functions that plays an important role for material prediction, adopt rolling actual information, carry out the study of the rolling model that comprises in the procedural information supplementary functions, to improve the precision of rolling model.By like this, can eliminate error according to the process average information of rolling model, can improve the precision of process average information, can improve the precision of material prediction and material control.
Fig. 8 is the material prediction of the roll line in the expression embodiment of the invention 2 and the frame assumption diagram of material control device.
No matter be both at home and abroad, built a lot of iron-smelters, have many hot rolling lines to turn round.In embodiment shown in Figure 11, setting control computer 3, host computer 2, the part of rolling actual information acquisition function 5, material check system 4 realize on nearly all hot rolling line 1.And under the situation about having, the part of the part of material forecast function 7, material control function 8 also can realize.Therefore, when additional process information supplementary functions 6, the material forecast function 7 that utilizes it and material control function 8 are used as the control device of new hot rolling line, can encounter difficulties to existing computer equipment additional hours.In addition, because procedural information supplementary functions 6 must much calculate, so also can't on existing computer equipment, realize sometimes.
Therefore, in present embodiment 2, as shown in Figure 8, on the computer system 32 of other different with active computer 31, implementation procedure information supplementary functions 6, the material forecast function 7 that utilizes it and material control function 8, and the interface of realization and active computer 31, thereby additional new function, and can not produce interference to operation and existing capability, perhaps can easily enlarge equipment and function.
By like this,, can operation and existing capability not produced additional new function under the situation about disturbing by realize rolling actual information acquisition function and procedural information supplementary functions with other computer.
Industrial practicality
The prediction of the material of roll line of the present invention and material control device be by the situation of change of simulation process, and Function with side information can improve the precision of prediction of material model, and can control accurately material Matter.
Claims (4)
1. prediction of the material of a roll line and material control device is characterized in that,
Be the device of controlling with the temperature of the thickness of the rolled stock of the hot rolling line manufacturing of the temperature heating of regulation and rolled metal raw material and width equidimension shape and rolled stock utilizing,
Have:
The rolling actual information acquisition function of the rolling actual information that collection obtains from the control device of the sensor of the state of measuring hot rolling line and rolled stock and control hot rolling line;
Predict the procedural information supplementary functions of the process average information of the expression roll line intermediateness that can't gather as rolling actual information according to target informations such as the thickness of the intrinsic information of described rolling actual information, each machine assembly etc., rolled stock and width;
According to described rolling actual information and described process average information, with carry out described rolling actual information and described process average information and predict the material forecast function of the material of rolled stock synchronously;
And control make the material predicted with as the corresponding to material control of the material of target function.
2. prediction of the material of a roll line and material control device is characterized in that,
Be the device of controlling with the temperature of the thickness of the rolled stock of the hot rolling line manufacturing of the temperature heating of regulation and rolled metal raw material and width equidimension shape and rolled stock utilizing,
Have:
The rolling actual information acquisition function of the rolling actual information that collection obtains from the control device of the sensor of the state of measuring hot rolling line and rolled stock and control hot rolling line;
Predict the procedural information supplementary functions of the process average information of the expression roll line intermediateness that can't gather as rolling actual information according to target informations such as the thickness of the intrinsic information of described rolling actual information, each machine assembly etc., rolled stock and width;
According to described rolling actual information and described process average information, with carry out described rolling actual information and described process average information and predict the material forecast function of the material of rolled stock synchronously;
And control make the material predicted with as the corresponding to material control of the material of target function,
Described rolling actual information acquisition function and described procedural information supplementary functions are realized by other computer.
3. prediction of the material of the roll line described in claim 1 or 2 and material control device is characterized in that,
The procedural information supplementary functions is to be made of the simulator based on rolling model, and carries out by being rolled, and in order to improve the precision of described rolling model, and has the rolling model learning functionality that adopts rolling actual information to be rolled model learning.
4. prediction of the material of the roll line described in claim 1 or 2 and material control device is characterized in that,
The material forecast function is the material model according to expression material state variation, can carry out by being rolled in addition, in order to improve the precision of described material model, has the material model learning function that the material information that adopts rolling back to measure is carried out the material model learning.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2006/314801 WO2008012881A1 (en) | 2006-07-26 | 2006-07-26 | Rolling line material prediction and material control apparatus |
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| CN101253005A true CN101253005A (en) | 2008-08-27 |
| CN100577315C CN100577315C (en) | 2010-01-06 |
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| CN200680001083A Active CN100577315C (en) | 2006-07-26 | 2006-07-26 | Device for forecasting and controlling material quality of roll line |
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| JP (1) | JP5003483B2 (en) |
| CN (1) | CN100577315C (en) |
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| CN102641893A (en) * | 2011-02-18 | 2012-08-22 | 东芝三菱电机产业系统株式会社 | Control device for hot rolling line |
| CN102641904A (en) * | 2011-02-18 | 2012-08-22 | 东芝三菱电机产业系统株式会社 | Energy consumption forecasting device |
| CN106256454A (en) * | 2015-06-16 | 2016-12-28 | 株式会社日立制作所 | The material management system and method for hot rolled steel plate |
| CN106660090A (en) * | 2014-09-10 | 2017-05-10 | 东芝三菱电机产业系统株式会社 | Rolling simulation device |
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2006
- 2006-07-26 CN CN200680001083A patent/CN100577315C/en active Active
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102641893A (en) * | 2011-02-18 | 2012-08-22 | 东芝三菱电机产业系统株式会社 | Control device for hot rolling line |
| CN102641904A (en) * | 2011-02-18 | 2012-08-22 | 东芝三菱电机产业系统株式会社 | Energy consumption forecasting device |
| CN102641904B (en) * | 2011-02-18 | 2014-07-30 | 东芝三菱电机产业系统株式会社 | Energy consumption forecasting device |
| CN102641893B (en) * | 2011-02-18 | 2014-08-20 | 东芝三菱电机产业系统株式会社 | Control device for hot rolling line |
| CN106660090A (en) * | 2014-09-10 | 2017-05-10 | 东芝三菱电机产业系统株式会社 | Rolling simulation device |
| CN106660090B (en) * | 2014-09-10 | 2019-03-19 | 东芝三菱电机产业系统株式会社 | Rolling simulation device |
| CN106256454A (en) * | 2015-06-16 | 2016-12-28 | 株式会社日立制作所 | The material management system and method for hot rolled steel plate |
| CN106256454B (en) * | 2015-06-16 | 2019-07-16 | 株式会社日立制作所 | The material management system and its method of hot rolled steel plate |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2008012881A1 (en) | 2008-01-31 |
| JPWO2008012881A1 (en) | 2009-12-17 |
| TW200806984A (en) | 2008-02-01 |
| TWI312069B (en) | 2009-07-11 |
| JP5003483B2 (en) | 2012-08-15 |
| CN100577315C (en) | 2010-01-06 |
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