CN101901280A - Method for obtaining broadening by using computer program - Google Patents
Method for obtaining broadening by using computer program Download PDFInfo
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- CN101901280A CN101901280A CN200910057338XA CN200910057338A CN101901280A CN 101901280 A CN101901280 A CN 101901280A CN 200910057338X A CN200910057338X A CN 200910057338XA CN 200910057338 A CN200910057338 A CN 200910057338A CN 101901280 A CN101901280 A CN 101901280A
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Abstract
The invention discloses a method for obtaining broadening by using a computer program, which comprises the following steps: step one: collecting a plurality of actually measured data by a computer, wherein each group of data comprises length, width, thickness, width of a finished product and thickness of a finished product; step two: obtaining monotonous curves relative to data d1 and data d2 for each group of data, having a sole intersection for any non-coincident two curves, and obtaining two groups of data i.e. the data d1 and the data d2; step three: calculating mean value and standard variance for the data d1and the data d2 by the computer, taking a data except a positive and negative standard variance of the mean value as an abnormal data, and removing the abnormal data; and taking the mean value of the remained data d1 and data d2 as a finally optimal result of the data d1 and the data d2 for outputting. The invention can avoid blindness of only depending on experiences and a trial and error method to adjust related coefficients of the broadening, so that the finally obtained related coefficients of the broadening approximates the optimization, thereby improving products yield.
Description
Technical field
The present invention relates to a kind of method of utilizing computer program to calculate steel plate width, particularly relate to a kind of method of utilizing computer program to obtain and spread.
Background technology
In the Medium and Heavy Plate Rolling field, spread model in occupation of crucial status in process computer (L2) rolling model.The result of calculation of spreading model directly can influence the result of calculation of load distribution model, has influence on finished width and the rate of becoming a useful person.If it is accurate to spread Model Calculation, for fixed length and the rolling product of Fixed width, can improve the rate of becoming a useful person more than 1%, economic benefit is considerable.
At present, the control method commonly used that spreads model is according to the finished width of actual measurement, the related coefficient of spreading of spreading in the model is finely tuned, thereby reach product requirement.This method has following drawback:
1) technologist of adjustment model must be experienced, the method that adopts examination to gather, according to finished product thickness and width to the coefficient rapid adjustment;
2) relevant because spread related coefficient with thickness, specific spread related coefficient and may not be fit to all finished product thicknesses;
3) very loaded down with trivial details to spreading related coefficient optimization, the coefficient that is optimized is difficulty very.
Summary of the invention
Technical matters to be solved by this invention provides a kind of method of utilizing computer program to obtain and spread, it can avoid regulating the blindness of spreading related coefficient by experience and method of trial and error merely, make finally obtain spread related coefficient near optimum, improve the product lumber recovery.
In order to solve above technical matters, the invention provides a kind of method of utilizing computer program to obtain and spread; May further comprise the steps: step 1, a plurality of measured datas of computer acquisition, the length and width of every group of packet rubbing board base, thick, finished width and finished product thickness; Step 2, every group of data all can obtain a monotonous curve about d1 data and d2 data, and two curves that do not overlap all have a unique intersection point arbitrarily, and computing machine obtains d1 data and two groups of data of d2 data; Step 3, computing machine are to d1 data, d2 data computation mean value and standard variance, and the data that a positive and negative standard variance of mean value is outer are considered as abnormal data, remove these abnormal datas; Computing machine is with the final optimization pass result's output as d1 data, d2 data of the mean value of remaining d1 data, d2 data.
Beneficial effect of the present invention is, can avoid regulating the blindness of spreading related coefficient by experience and method of trial and error merely, make finally obtain spread related coefficient near optimum, improve the product lumber recovery.The present invention uses actual measurement width and rules and obtains actual measurement and spread related coefficient (d1 data and d2 data can be directly used in production), and a model can cover all product thicknesses and width.Simultaneously, final optimization pass precision of the present invention is higher.
Description of drawings
Below in conjunction with the drawings and specific embodiments the present invention is described in further detail.
Fig. 1 is the described method block diagram of the embodiment of the invention;
Fig. 2 is the described two intersections of complex curve synoptic diagram of the embodiment of the invention;
Fig. 3 is the described related coefficient computing method block diagram that spreads of the embodiment of the invention;
Fig. 4 is the described related coefficient optimization method block diagram that spreads of the embodiment of the invention.
Embodiment
In the Medium and Heavy Plate Rolling field, spread model in occupation of crucial status in the process computer rolling model.The result of calculation of spreading model directly can have influence on finished width and the rate of becoming a useful person.
The present invention has designed a kind of computer program that utilizes and has calculated the method for spreading related coefficient automatically.According to two different rules, can obtain one group of related coefficient of spreading that meets rules; Investigate the product specification of all productions then,, handle the some groups of related coefficients of spreading that meet rules, obtain covering the related coefficient of spreading of all finished product thicknesses according to the specification of grouping.Adopt this method, avoided simple and regulated the blindness of spreading related coefficient by experience and method of trial and error, make finally obtain spread related coefficient near optimum.
The technical problem to be solved in the present invention is according to the actual measurement finished width, accurately obtains spreading related coefficient d1 data and d2 data, and then can accurately obtain spreading of any width and thickness finished product, and process flow diagram is seen Fig. 1, and concrete steps are as follows:
Step 1, gather some measured datas, the length and width of every group of packet rubbing board base, thick, finished width and finished product thickness, i.e. every group of corresponding rules of data, these data cover all finished widths and finished product thickness.
H '
i=h '
I-1+ step formula (1)
Wherein d1 and d2 are for spreading related coefficient, and h0 and h1 are respectively inlet thickness and exit thickness, and b is an exit width, and i is a data sequence number.Utilize formula (1) to calculate and infer spreading of different finished product thicknesses and width, be used to instruct every group of data of actual production all can obtain a monotonous curve (see figure 1) about d1 data and d2 data.Two curves that do not overlap all have one unique (d1 data, d2 data) some (see figure 2) arbitrarily.Can adopt dichotomy or Newton method iteratively faster to obtain the numerical solution of intersection point, find the solution flow process and see Fig. 3.
In step 3, the some measured datas, data can be determined (d1 data, a d2 data) point in twos, thereby obtain series of points, i.e. two groups of data of d1 data and d2 data.Respectively these two groups of data are carried out data-optimized processing: earlier to d1 data computation mean value and standard variance, the data that a positive and negative standard variance of mean value is outer are considered as abnormal data, remove these data; To remaining d1 data calculating mean value and standard variance once more, the data that a positive and negative standard variance of mean value is outer are considered as abnormal data, remove these data; With the final optimization pass result's output of the mean value of remaining d1 data as the d1 data.In like manner, can obtain final optimization pass result's output of d2 data, idiographic flow is seen Fig. 4.
After step 4, the newly-increased measured data, can add and recomputate in the legacy data and optimize d1 data and d2 data, finally obtain stablizing d1 data and d2 data.If rolling mill practice changes, the thickness of iron scale changes (being the variation that has influence on inlet thickness in essence), might have influence on ceofficient of spread, causes spreading calculating deviation occurring, at this moment need the step above the repetition to recomputate, obtain new d1 data and d2 data.
The present invention program can be applicable to the program that uses a computer and improves the computational accuracy of spreading model, and the rate thereby the raising product is become a useful person can be widely used in the Heavy Plate Production.
The rule of spreading among the present invention adopts exwponential function approximation to describe (seeing formula 1), also can adopt polynomial method to describe, and the optimization coefficient that finally obtains is the coefficient in the polynomial expression, and method is identical with the present invention.
The present invention is not limited to embodiment discussed above.More than the description of embodiment is intended in order to describe and illustrate the technical scheme that the present invention relates to.Based on the conspicuous conversion of the present invention enlightenment or substitute and also should be considered to fall into protection scope of the present invention.Above embodiment is used for disclosing best implementation method of the present invention, so that the ordinary skill person of going into of this area can be used numerous embodiments of the present invention and multiple alternative reaches purpose of the present invention.
Claims (5)
1. one kind is utilized computer program to obtain the method spread; It is characterized in that, may further comprise the steps:
Step 1, a plurality of measured datas of computer acquisition, the length and width of every group of packet rubbing board base, thick, finished width and finished product thickness;
Step 2, every group of data all can obtain a monotonous curve about d1 data and d2 data, and two curves that do not overlap all have a unique intersection point arbitrarily, and computing machine obtains d1 data and two groups of data of d2 data;
Step 3, computing machine are to d1 data, d2 data computation mean value and standard variance, and the data that a positive and negative standard variance of mean value is outer are considered as abnormal data, remove these abnormal datas;
Computing machine is with the final optimization pass result's output as d1 data, d2 data of the mean value of remaining d1 data, d2 data.
2. the method for utilizing computer program to obtain and spread as claimed in claim 1; It is characterized in that, in step 3,
Computing machine is to remaining d1 data, d2 data calculating mean value and standard variance once more, and the data that a positive and negative standard variance of mean value is outer are considered as abnormal data, remove these abnormal datas;
Then, computing machine is with the final optimization pass result's output as d1 data, d2 data of the mean value of remaining d1 data, d2 data.
3. the method for utilizing computer program to obtain and spread as claimed in claim 1; It is characterized in that, in above-mentioned steps two,
Computing machine passes through formula:
I=1,2 ..., n
h′
i＝h′
i-1+step
Obtain the monotonous curve of d1 data and d2 data;
Wherein d1 and d2 are for spreading related coefficient, and h0 and h1 are respectively inlet thickness and exit thickness, and b is an exit width, and i is a data sequence number.
4. the method for utilizing computer program to obtain and spread as claimed in claim 1; It is characterized in that,
After step 3, also comprise:
Step 4: after obtaining the spreading of different finished product thicknesses and width, if increase new measured data, computing machine adds new measured data and recomputates in the legacy data and optimize d1 data and d2 data, finally obtains stablizing d1 data and d2 data.
5. the method for utilizing computer program to obtain and spread as claimed in claim 1; It is characterized in that, also comprise:
If inlet thickness changes, then computing machine repeating step one to step 3 recomputates, and obtains new d1 data and d2 data.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102873105A (en) * | 2012-10-18 | 2013-01-16 | 广西柳州银海铝业股份有限公司 | Prediction method for rectangular flat material angular rolling width |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1833790A (en) * | 2006-02-21 | 2006-09-20 | 新疆八一钢铁股份有限公司 | Slot-less rolling technique of rolling section |
| CN1959682A (en) * | 2005-10-31 | 2007-05-09 | 宝山钢铁股份有限公司 | Method for setting up optimized width of rough rolling strip steel |
| CN101376139A (en) * | 2007-08-31 | 2009-03-04 | 宝山钢铁股份有限公司 | Control method for producing conical plate blank using side compression machine of fixed width plate blank |
| CN101403890A (en) * | 2008-11-08 | 2009-04-08 | 山西太钢不锈钢股份有限公司 | Method for improving model prediction precision by utilizing neuroid classification modeling method |
-
2009
- 2009-06-01 CN CN200910057338.XA patent/CN101901280B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1959682A (en) * | 2005-10-31 | 2007-05-09 | 宝山钢铁股份有限公司 | Method for setting up optimized width of rough rolling strip steel |
| CN1833790A (en) * | 2006-02-21 | 2006-09-20 | 新疆八一钢铁股份有限公司 | Slot-less rolling technique of rolling section |
| CN101376139A (en) * | 2007-08-31 | 2009-03-04 | 宝山钢铁股份有限公司 | Control method for producing conical plate blank using side compression machine of fixed width plate blank |
| CN101403890A (en) * | 2008-11-08 | 2009-04-08 | 山西太钢不锈钢股份有限公司 | Method for improving model prediction precision by utilizing neuroid classification modeling method |
Non-Patent Citations (2)
| Title |
|---|
| N.A.FLECK等: "TOWARDS A NEW THEORY OF COLD ROLLING THIN FOIL", 《INT.J.MECH.SCI.》 * |
| 斋藤好弘 等: "在棒材轧制中方-椭圆、方-菱、圆-椭圆孔型系的宽展和延伸的计算方法", 《冶金丛刊》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102873105A (en) * | 2012-10-18 | 2013-01-16 | 广西柳州银海铝业股份有限公司 | Prediction method for rectangular flat material angular rolling width |
| CN102873105B (en) * | 2012-10-18 | 2014-08-27 | 广西柳州银海铝业股份有限公司 | Prediction method for rectangular flat material angular rolling width |
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