CN105203731B - A kind of strip steel cross-sectional outling defect local high spot quantization method and device - Google Patents
A kind of strip steel cross-sectional outling defect local high spot quantization method and device Download PDFInfo
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Abstract
The present invention relates to hot rolled strip plate form control technical field, disclose a kind of strip steel cross-sectional outling defect local high spot quantization method and device, to solve the not accurate enough technical problem of detection local high spot defect in prior art.The method includes：Detection obtains the thickness data of hot-strip transverse section, and thickness data includes the multiple thickness values corresponding to multiple sampled points of hot-strip transverse section；Thickness data is fitted obtain the matched curve of thickness data, in matched curve, comprises the corresponding relation of sampled point and thickness value；Obtain the coordinate of the quantity of extreme point in matched curve and at least one extreme point；Determine the defect type of hot-strip transverse section based on the quantity of extreme point；When defect type is for local high spot defect, calculate the value of the profile defects local high spot of hot-strip transverse section based on the coordinate of at least one extreme point.Reach the technique effect of the local defect that can accurately detect hot-strip transverse section.
Description
Technical field
The present invention relates to hot rolled strip plate form control technical field, more particularly, to a kind of strip steel cross-sectional outling defect local
High point quantization method and device.
Background technology
The technological process of hot rolled strip production line is：The heated stove heat of rolled piece, to the temperature requiring, is come out of the stove and through thick
Milling train group rolls, and is then passed through mm finishing mill unit rolling, eventually becomes product strip steel.
Cross-sectional outling gone up in the width direction by hot-strip is to weigh whether a hot rolling line possesses high precision rolling
The primary index of control technology, it occupies first place in all standards that downstream client proposes to hot rolling producing line, directly determines
The normal operation of hot rolling producing line and development.
The quality of cross-sectional outling gone up in the width direction by hot-strip, and its criterion mainly has 3：Convexity, wedge shape and
Local high spot.Its camber and this two indices of wedge shape, its quantization method is cured in steel industry, and defines system
One standard.And this index of local high spot, because it has very big randomness, so its quantization method is in steel industry
There is no fixed standard in, can detect a height under normal circumstances at present, to be sentenced with this at the 40mm of hot-strip transverse section
Break this hot-strip with the presence or absence of local high spot defect, however, because hot-strip the position of local high spot defect not
Fixing, so there is the not accurate technical problem of detection local high spot defect in prior art it is impossible to be applied to local height
Point situation complicated and changeable.
Content of the invention
The present invention provides a kind of strip steel cross-sectional outling defect local high spot quantization method and device, to solve prior art
The not accurate enough technical problem of middle detection local high spot defect.
In a first aspect, the embodiment of the present invention provides a kind of strip steel cross-sectional outling defect local high spot quantization method, including：
Detection obtains the thickness data of hot-strip transverse section, and described thickness data includes described hot-strip transverse section
Multiple thickness values corresponding to multiple sampled points；
Described thickness data is fitted obtaining with the matched curve of described thickness data, in described matched curve, comprises institute
State the corresponding relation of sampled point and described thickness value；
Obtain the coordinate of the quantity of extreme point in described matched curve and at least one extreme point；
Determine the defect type of described hot-strip transverse section based on the quantity of described extreme point；
When described defect type is local high spot defect, calculated described based on the coordinate of at least one extreme point described
The value of the profile defects local high spot of hot-strip transverse section.
Optionally, the value of the profile defects local high spot of described hot-strip transverse section is calculated by below equation：
Max{|Yj1-Yj2|,|Yjm-Yjk|}
Wherein, Yj1 represents the ordinate value of the extreme point of the leftmost side of described hot-strip transverse section；
Yj2 represents the ordinate value of the extreme point adjacent with the extreme point of the described leftmost side；
The ordinate value of the extreme point of the rightmost side of hot-strip transverse section described in Yjk；
Yjm represents the ordinate value of the extreme point adjacent with the extreme point of the described rightmost side.
Optionally, methods described also includes：
When the quantity of described extreme point is equal to 5, determine that described hot-strip transverse section has first kind local high spot and lacks
Fall into, when described hot-strip transverse section has described first kind local high spot defect, described hot-strip transverse section is in can
Use state；
When the quantity of described extreme point is more than 5, determine that described hot-strip transverse section has Equations of The Second Kind local high spot and lacks
Fall into, when described hot-strip transverse section has described Equations of The Second Kind local high spot defect, described hot-strip transverse section is in not
Upstate.
Optionally, the described defect type determining described hot-strip transverse section based on the quantity of described extreme point, tool
Body includes：
When the quantity of described extreme point is 1, determine described hot-strip transverse section not existing defects；
When the quantity of described extreme point is 2, determine that described hot-strip transverse section has wedge shape defect；
When the quantity of described extreme point is 3 or 4, determine that described hot-strip transverse section has convexity defect；
When the quantity of described extreme point is not less than 5, determine that described hot-strip transverse section has local high spot defect.
Optionally, described described thickness data is fitted obtaining with the matched curve of described thickness data, specially：
Described thickness data is carried out with six order polynomial regression fits, and then obtains described matched curve, and obtain described
Six order polynomial regression equations of matched curve, described six order polynomial regression equations are specially：
Y=A X6+B·X5+C·X4+D·X3+E·X2+F·X+G
Wherein, Y is the thickness of described hot-strip transverse section, and unit is mm；
X is the width coordinate along transverse section for the described hot-strip, and unit is mm；
A, B, C, D, E, F, G are the coefficient of the six order polynomial regression equation factors.
Optionally, the coordinate of the described quantity of extreme point obtaining in described matched curve and each extreme point, concrete bag
Include：
Once differentiation is carried out to described six order polynomial regression equations, obtains quintic algebra curve slope equation as follows：
Y=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F
Make the Y in described quintic algebra curve slope equation be 0, obtain following quintic algebra curve 0 slope equation：
0=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F
Solve the X value obtaining in described quintic algebra curve 0 slope equation, described X value is the abscissa of each extreme point.
Optionally, the described X value solving in the described quintic algebra curve slope equation of acquisition, specially：
If XiIt is 0 that value makes the value of described quintic algebra curve slope equation, then XiFor described quintic algebra curve slope equation
One solution, XiSpan be [0～Xn], XnSpan be [W-s, W+s], W represents described hot-strip transverse section
Width, s represents XiValue changes step increments variable quantity；
If XiThe result of gained and X after the value described quintic algebra curve slope equation of substitutioni+1Value substitutes into described quintic algebra curve
The result opposite sign of gained, then (X after slope equationi+Xi+1)/2 are of described quintic algebra curve slope equation
Solution, Xi+1Span be [0～Xn], XnSpan be [W-s, W+s], W represents the width of described hot-strip transverse section
Degree, s represents XiValue changes step increments variable quantity.
Second aspect, the embodiment of the present invention provides a kind of strip steel cross-sectional outling defect local high spot quantization device, including：
Detection module, obtains the thickness data of hot-strip transverse section for detection, and described thickness data includes described heat
Roll the multiple thickness values corresponding to multiple sampled points of strip steel transverse section；
Fitting module, for being fitted obtaining the matched curve of described thickness data, described plan to described thickness data
Close the corresponding relation comprising described sampled point and described thickness value in curve；
Obtain module, for obtaining the quantity of the extreme point in described matched curve and the coordinate of at least one extreme point；
Determining module, for determining the defect type of described hot-strip transverse section based on the quantity of described extreme point；
Computing module, for when described defect type is local high spot defect, based at least one extreme point described
Coordinate calculates the value of the profile defects local high spot of described hot-strip transverse section.
Optionally, described computing module is used for calculating the profile defects of described hot-strip transverse section by below equation
The value of local high spot：
Max{|Yj1-Yj2|,|Yjm-Yjk|}
Wherein, Yj1 represents the ordinate value of the extreme point of the leftmost side of described hot-strip transverse section；
Yj2 represents the ordinate value of the extreme point adjacent with the extreme point of the described leftmost side；
The ordinate value of the extreme point of the rightmost side of hot-strip transverse section described in Yjk；
Yjm represents the ordinate value of the extreme point adjacent with the extreme point of the described rightmost side.
Optionally, described determining module is additionally operable to：
When the quantity of described extreme point is equal to 5, determine that described hot-strip transverse section has first kind local high spot and lacks
Fall into, when described hot-strip transverse section has described first kind local high spot defect, described hot-strip transverse section is in can
Use state；
When the quantity of described extreme point is more than 5, determine that described hot-strip transverse section has Equations of The Second Kind local high spot and lacks
Fall into, when described hot-strip transverse section has described Equations of The Second Kind local high spot defect, described hot-strip transverse section is in not
Upstate.
Optionally, described determining module, specifically includes：
First determining unit, for when the quantity of described extreme point is 1, determining that described hot-strip transverse section does not exist
Defect；
Second determining unit, for when the quantity of described extreme point is 2, determining that described hot-strip transverse section has wedge
Shape defect；
3rd determining unit, for when the quantity of described extreme point is 3 or 4, determining that described hot-strip transverse section is deposited
In convexity defect；
4th determining unit, for when the quantity of described extreme point is not less than 5, determining that described hot-strip transverse section is deposited
In local high spot defect.
Optionally, described fitting module, specifically for：
Described thickness data is carried out with six order polynomial regression fits, and then obtains described matched curve, and obtain described
Six order polynomial regression equations of matched curve, described six order polynomial regression equations are specially：
Y=A X6+B·X5+C·X4+D·X3+E·X2+F·X+G
Wherein, Y is the thickness of described hot-strip transverse section, and unit is mm；
X is the width coordinate along transverse section for the described hot-strip, and unit is mm；
A, B, C, D, E, F, G are the coefficient of the six order polynomial regression equation factors.
Optionally, described acquisition module, specifically includes：
Differentiation element, for carrying out once differentiation to described six order polynomial regression equations, obtains quintic algebra curve slope
Equation is as follows：
Y=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F
5th determining unit, is 0 for making the Y in described quintic algebra curve slope equation, obtains following quintic algebra curve 0
Slope equation：
0=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F
Solve unit, for solving the X value obtaining in described quintic algebra curve 0 slope equation, described X value is each pole
The abscissa of value point.
Optionally, described solution unit, specifically for：
If XiIt is 0 that value makes the value of described quintic algebra curve slope equation, then XiFor described quintic algebra curve slope equation
One solution, XiSpan be [0～Xn], XnSpan be [W-s, W+s], W represents described hot-strip transverse section
Width, s represents XiValue changes step increments variable quantity；
If XiThe result of gained and X after the value described quintic algebra curve slope equation of substitutioni+1Value substitutes into described quintic algebra curve
The result opposite sign of gained, then (X after slope equationi+Xi+1)/2 are of described quintic algebra curve slope equation
Solution, Xi+1Span be [0～Xn], XnSpan be [W-s, W+s], W represents the width of described hot-strip transverse section
Degree, s represents XiValue changes step increments variable quantity.
The present invention has the beneficial effect that：
Because in embodiments of the present invention, detection first obtains the thickness data of hot-strip transverse section, described thickness number
According to the multiple thickness values corresponding to multiple sampled points of the described hot-strip transverse section of inclusion；Then, described thickness data is entered
Row matching obtains the matched curve of described thickness data, comprises the right of described sampled point and described thickness value in described matched curve
Should be related to；Then, obtain the coordinate of the quantity of extreme point in described matched curve and at least one extreme point；Then, it is based on
The quantity of described extreme point determines the defect type of described hot-strip transverse section；Finally, in described defect type for locally
The profile defects local of described hot-strip transverse section during high point defect, is calculated based on the coordinate of at least one extreme point described
The value of high point.Namely in embodiments of the present invention, it is capable of the matched curve pair of thickness data based on hot-strip transverse section
The profile defects local high spot of hot-strip transverse section is quantified, thus reached can accurately detect that hot-strip is horizontal
The technique effect of the local defect of section.And then, be later stage further disadvantage analysis improve and weigh assessment provide required
Guarantee.
Brief description
Fig. 1 is the flow chart of strip steel cross-sectional outling defect local high spot quantization method in the embodiment of the present invention；
Fig. 2 is the signal of the thickness data in embodiment of the present invention strip steel cross-sectional outling defect local high spot quantization method
Figure；
Fig. 3 is the matching of the thickness data in embodiment of the present invention strip steel cross-sectional outling defect local high spot quantization method
The schematic diagram of curve；
Fig. 4 is the quintic algebra curve slope side of strip steel cross-sectional outling defect local high spot quantization method in inventive embodiments
The schematic diagram of the curve corresponding to journey；
Fig. 5 is the structure chart of embodiment of the present invention strip steel cross-sectional outling defect local high spot quantization device.
Specific embodiment
The present invention provides a kind of strip steel cross-sectional outling defect local high spot quantization method and device, to solve prior art
The not accurate enough technical problem of middle detection local high spot defect.
Technical scheme in the embodiment of the present application is to solve above-mentioned technical problem, and general thought is as follows：
Detection obtains the thickness data of hot-strip transverse section first, and it is cross-section that described thickness data includes described hot-strip
Multiple thickness values corresponding to multiple sampled points in face；Then, described thickness data is fitted obtaining described thickness data
Matched curve, comprise the corresponding relation of described sampled point and described thickness value in described matched curve；Then, obtain described plan
Close the coordinate of the quantity of extreme point on curve and at least one extreme point；Then, determined based on the quantity of described extreme point
The defect type of described hot-strip transverse section；Finally, described defect type be local high spot defect when, based on described at least
The coordinate of one extreme point calculates the value of the profile defects local high spot of described hot-strip transverse section.Namely in the present invention
In embodiment, it is capable of the matched curve of thickness data based on the hot-strip transverse section profile defects to hot-strip transverse section
Local high spot is quantified, thus having reached the technology effect of the local defect that can accurately detect hot-strip transverse section
Really.And then, it is that the analysis of later stage further disadvantage improves and measurement assessment provides necessary guarantee.
In order to be better understood from technique scheme, below by accompanying drawing and specific embodiment to technical solution of the present invention
It is described in detail it should be understood that the specific features in the embodiment of the present invention and embodiment are detailed to technical solution of the present invention
Thin explanation, rather than the restriction to technical solution of the present invention, in the case of not conflicting, the embodiment of the present invention and embodiment
In technical characteristic can be mutually combined.
In a first aspect, the embodiment of the present invention provides a kind of strip steel cross-sectional outling defect local high spot quantization method, please join
Examine Fig. 1, comprise the following steps：
Step S101：Detection obtains the thickness data of hot-strip transverse section, and described thickness data includes described hot-rolled strip
Multiple thickness values corresponding to multiple sampled points of steel transverse section；
Step S102：Described thickness data is fitted obtaining with the matched curve of described thickness data, described matching is bent
The corresponding relation of described sampled point and described thickness value is comprised in line；
Step S103：Obtain the coordinate of the quantity of extreme point in described matched curve and at least one extreme point；
Step S104：Determine the defect type of described hot-strip transverse section based on the quantity of described extreme point；
Step S105：When described defect type is local high spot defect, the coordinate based at least one extreme point described
Calculate the value of the profile defects local high spot of described hot-strip transverse section.
In step S101, it is possible to use the cross sectional thickness measuring instrumentss collection of popularization in industry obtains multiple thickness values,
Wherein different sampled point quantity can be selected according to the actual requirements, if necessary to if high precision, then sampled point quantity is more,
If processing speed is fast if necessary, then relatively low using reducing, sampled point quantity is, for example,：100th, 201,500 etc., the present invention
Embodiment is not restricted.As shown in Fig. 2 the schematic diagram for this thickness data.
The matched curve of thickness data in step S102, can be obtained in several ways, for example：
Described thickness data is carried out with six order polynomial regression fits, and then the described matched curve of acquisition (as shown in figure 3,
Schematic diagram for described matched curve), and obtain six order polynomial regression equations of described matched curve, described six order polynomials
Regression equation is specially：
Y=A X6+B·X5+C·X4+D·X3+E·X2+F·X+G……………………[1]
Wherein, Y is the thickness of described hot-strip transverse section, and unit is mm；
X is the width coordinate along transverse section for the described hot-strip, and unit is mm；
A, B, C, D, E, F, G are the coefficient of the six order polynomial regression equation factors.
Where it is assumed that A=-6E-18, B=2E-14, C=3E-11, D=2E-08, E=8E-06, F=0.0012, G
3.1543, then can determine that six following order polynomial regression equations：
Y=-6E-18 X6+2E-14·X5-3E-11·X4+2E-08·X3-8E-06·X2+0.0012·X+3.1543
……………………[2]
Certainly, the value of above A, B, C, D, E, F, G is only only a citing, is not intended as limiting.
In step S103, the coordinate of the described quantity of extreme point obtaining in described matched curve and each extreme point, tool
Body includes：
Once differentiation is carried out to described six order polynomial regression equations, obtains quintic algebra curve slope equation as follows：
Y=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F……………………[3]
Wherein, if shown in six order polynomial regression equations such as formula [2], then can determine that more than following five time
Item formula slope equation：
Y=-3.6E-17 X5+1E-13·X4-1.2E-10·X3+6E-08·X2-1.6E-05·X+0.0012
……………………[4]
Make the Y in described quintic algebra curve slope equation be 0, obtain following quintic algebra curve 0 slope equation：
0=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F……………………[5]
Wherein, if shown in six order polynomial regression equations such as formula [2], then following quintic algebra curve can be obtained
0 slope equation：
0=-3.6E-17 X5+1E-13·X4-1.2E-10·X3+6E-08·X2-1.6E-05·X+0.0012
……………………[6]
Wherein, this curve corresponding to quintic algebra curve slope equation is as shown in figure 4, then correspond to when this Y value is 0
State the point that slope in six order polynomial matched curves is 0, and then solve the X value obtaining in described quintic algebra curve 0 slope equation,
Described X value is the abscissa of each extreme point.
Wherein it is possible to solve quintic algebra curve 0 slope equation in the following manner：
, from the beginning of 0, to strip steel transverse section width W (unit mm) end, centre is with variable quantity s (unit mm) stepping for the value of X
Incremental variations, obtain the one-dimensional ordered series of numbers [X of n X value composition0, X1, X2..., XN], it is substituted into one by one above-mentioned quintic algebra curve 0
Slope equation.If XiIt is 0 that value makes the value of described quintic algebra curve slope equation, then XiFor described quintic algebra curve slope equation
One solution, XiSpan be [0～Xn], XnSpan be [W-s, W+s], W represents described hot-strip transverse section
Width, s represents XiValue changes step increments variable quantity；If XiValue substitutes into gained after described quintic algebra curve slope equation
Result and Xi+1Value substitutes into the result opposite sign of gained after described quintic algebra curve slope equation, then (Xi+Xi+1)/2 are
For a solution of described quintic algebra curve slope equation, Xi+1Span be [W-s, W+s], W represents that described hot-strip is horizontal
The width of section, s represents XiValue changes step increments variable quantity.Wherein, X0It is initial value 0, step increments variable quantity s's
Scope is, for example, [0.001,5], i ordinal number in one-dimensional ordered series of numbers for X value.
So we obtain all solutions in [0, W] interval for the above-mentioned quintic algebra curve 0 slope equation, namely above-mentioned figure
Abscissa value corresponding to each extreme point in six order polynomial matched curves in 3, the abscissa value of corresponding extreme point is brought into
Formula [1] is it is possible to obtain the vertical coordinate of corresponding extreme point.
So that formula [6] is solved as a example, the value of X from the beginning of 0, terminate to hot-strip transverse section width 1100mm,
The middle one-dimensional ordered series of numbers [0,1,2 ..., 1100] being changed with variable quantity 1mm step increments, obtaining 1101 X values compositions, Ran Houfen
Do not carry it into formula [6] and solve X, obtain its solution and be respectively：160、350、640、945、1098.
In step S104, determine the defect type of described hot-strip transverse section based on the quantity of described extreme point, tool
Body includes：
When the quantity of described extreme point is 1 (namely formula [5] only one of which solution), determine described hot-strip transverse section
Not existing defects, now strip steel cross-sectional outling is normally good；
When the quantity of described extreme point is 2 (namely formula [5] has two solutions), determine described hot-strip transverse section
There is wedge shape defect；
When the quantity of described extreme point is 3 or 4 (namely formula [5] has three or individual solution), determine described hot rolling
There is convexity defect in strip steel transverse section；
When the quantity of described extreme point is not less than 5 (namely formula [5] has the solution of five or more), determine described heat
Roll strip steel transverse section and there is local high spot defect.
The profile defects local high spot of described hot-strip transverse section can be calculated by below equation in step S105
Value：
Max{|Yj1-Yj2|,|Yjm-Yjk|} ……………………[7]
Wherein, Yj1 represents the ordinate value of the extreme point of the leftmost side of described hot-strip transverse section；
Yj2 represents the ordinate value of the extreme point adjacent with the extreme point of the described leftmost side；
The ordinate value of the extreme point of the rightmost side of hot-strip transverse section described in Yjk；
Yjm represents the ordinate value of the extreme point adjacent with the extreme point of the described rightmost side.
Wherein, then its 5 current solution is respectively 160,350,640,945,1098, by it one by one taking formula [6] as a example
Substitute into formula [1], the corresponding ordinate value obtaining corresponding to 5 peak dots be respectively 3.224,3.219,3.229,3.215,
3.219；Now the value of strip steel cross-sectional outling defect local high spot is calculated as follows：
Max { | 3.224-3.219 |, | 3.215-3.219 | }=0.005 ... ... ... ... [8]
Namely：The local high spot value of this strip steel is 0.005mm.
During specific embodiment, when the defect type in described hot-strip transverse section is local high spot defect, its
Two kinds of situations can be divided into again, be introduced respectively below.
The first, when the quantity of described extreme point is equal to 5, determine that described hot-strip transverse section has first kind local
High point defect, when there is described first kind local high spot defect in described hot-strip transverse section, described hot-strip transverse section
It is in upstate, in this case although hot-strip transverse section has local high spot defect, but follow-up through some
Process can make up these defects, and then can continue to come into operation by hot-strip.
In addition, in this case, the solution of formula [5] is 5, respectively Xj1, Xj2, Xj3, Xj4, Xj5, by it one by one
Substitute into above-mentioned formula [1], the corresponding ordinate value obtaining corresponding to 5 extreme points is respectively Yj1, Yj2, Yj3, Yj4, Yj5；
Now the value computing formula of strip steel cross-sectional outling defect local high spot can count formula [4] and be reduced to equation below：
Max{|Yj1-Yj2|,|Yj4-Yj5|} ……………………[9]
Second, when the quantity of described extreme point is more than 5, determines that described hot-strip transverse section has Equations of The Second Kind local
, there is described Equations of The Second Kind local high spot defect in described hot-strip transverse section in high point defect (namely special local high spot defect)
When, described hot-strip transverse section is in down state, and in this case, hot-strip has substantially been scrapped, even if
Processed by the later stage and also it cannot be come into operation again.
Second aspect, based on same inventive concept, the embodiment of the present invention also provides a kind of strip steel cross-sectional outling defect office
Portion's high point quantization device, refer to Fig. 5, including：
Detection module 50, obtains the thickness data of hot-strip transverse section for detection, and described thickness data includes described
Multiple thickness values corresponding to multiple sampled points of hot-strip transverse section；
Fitting module 51, for described thickness data is fitted obtaining with the matched curve of described thickness data, described
The corresponding relation of described sampled point and described thickness value is comprised in matched curve；
Obtain module 52, for obtaining the quantity of the extreme point in described matched curve and the seat of at least one extreme point
Mark；
Determining module 53, for determining the defect class of described hot-strip transverse section based on the quantity of described extreme point
Type；
Computing module 54, for when described defect type is local high spot defect, based at least one extreme point described
Coordinate calculate described hot-strip transverse section profile defects local high spot value.
Optionally, the profile that described computing module 54 is used for by below equation calculates described hot-strip transverse section lacks
The value of sunken local high spot：
Max{|Yj1-Yj2|,|Yjm-Yjk|}
Wherein, Yj1 represents the ordinate value of the extreme point of the leftmost side of described hot-strip transverse section；
Yj2 represents the ordinate value of the extreme point adjacent with the extreme point of the described leftmost side；
The ordinate value of the extreme point of the rightmost side of hot-strip transverse section described in Yjk；
Yjm represents the ordinate value of the extreme point adjacent with the extreme point of the described rightmost side.
Optionally, described determining module 53 is additionally operable to：
When the quantity of described extreme point is equal to 5, determine that described hot-strip transverse section has first kind local high spot and lacks
Fall into, when described hot-strip transverse section has described first kind local high spot defect, described hot-strip transverse section is in can
Use state；
When the quantity of described extreme point is more than 5, determine that described hot-strip transverse section has Equations of The Second Kind local high spot and lacks
Fall into, when described hot-strip transverse section has described Equations of The Second Kind local high spot defect, described hot-strip transverse section is in not
Upstate.
Optionally, described determining module 53, specifically includes：
First determining unit, for when the quantity of described extreme point is 1, determining that described hot-strip transverse section does not exist
Defect；
Second determining unit, for when the quantity of described extreme point is 2, determining that described hot-strip transverse section has wedge
Shape defect；
3rd determining unit, for when the quantity of described extreme point is 3 or 4, determining that described hot-strip transverse section is deposited
In convexity defect；
4th determining unit, for when the quantity of described extreme point is not less than 5, determining that described hot-strip transverse section is deposited
In local high spot defect.
Optionally, described fitting module 51, specifically for：
Described thickness data is carried out with six order polynomial regression fits, and then obtains described matched curve, and obtain described
Six order polynomial regression equations of matched curve, described six order polynomial regression equations are specially：
Y=A X6+B·X5+C·X4+D·X3+E·X2+F·X+G
Wherein, Y is the thickness of described hot-strip transverse section, and unit is mm；
X is the width coordinate along transverse section for the described hot-strip, and unit is mm；
A, B, C, D, E, F, G are the coefficient of the six order polynomial regression equation factors.
Optionally, described acquisition module 52, specifically includes：
Differentiation element, for carrying out once differentiation to described six order polynomial regression equations, obtains quintic algebra curve slope
Equation is as follows：
Y=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F
5th determining unit, is 0 for making the Y in described quintic algebra curve slope equation, obtains following quintic algebra curve 0
Slope equation：
0=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F
Solve unit, for solving the X value obtaining in described quintic algebra curve 0 slope equation, described X value is each pole
The abscissa of value point.
Optionally, described solution unit, specifically for：
If XiIt is 0 that value makes the value of described quintic algebra curve slope equation, then XiFor described quintic algebra curve slope equation
One solution, XiSpan be [0～Xn], XnSpan be [W-s, W+s], W represents described hot-strip transverse section
Width, s represents XiValue changes step increments variable quantity；
If XiThe result of gained and X after the value described quintic algebra curve slope equation of substitutioni+1Value substitutes into described quintic algebra curve
The result opposite sign of gained, then (X after slope equationi+Xi+1)/2 are of described quintic algebra curve slope equation
Solution, Xi+1Span be [0～Xn], XnSpan be [W-s, W+s], W represents the width of described hot-strip transverse section
Degree, s represents XiValue changes step increments variable quantity.
The one or more embodiment of the present invention, at least has the advantages that：
Because in embodiments of the present invention, detection first obtains the thickness data of hot-strip transverse section, described thickness number
According to the multiple thickness values corresponding to multiple sampled points of the described hot-strip transverse section of inclusion；Then, described thickness data is entered
Row matching obtains the matched curve of described thickness data, comprises the right of described sampled point and described thickness value in described matched curve
Should be related to；Then, obtain the coordinate of the quantity of extreme point in described matched curve and at least one extreme point；Then, it is based on
The quantity of described extreme point determines the defect type of described hot-strip transverse section；Finally, in described defect type for locally
The profile defects local of described hot-strip transverse section during high point defect, is calculated based on the coordinate of at least one extreme point described
The value of high point.Namely in embodiments of the present invention, it is capable of the matched curve pair of thickness data based on hot-strip transverse section
The profile defects local high spot of hot-strip transverse section is quantified, thus reached can accurately detect that hot-strip is horizontal
The technique effect of the local defect of section.And then, be later stage further disadvantage analysis improve and weigh assessment provide required
Guarantee.
In addition, the strip steel cross-sectional outling defect local high spot quantization method introduced using the embodiment of the present invention, realize
The quantization output of the cross-sectional outling defect local high spot of every coiled strip steel, through DATA REASONING checking actual in a large number, precision
Reach 0.001mm, meet and be actually needed.Analyze improvement for later stage further disadvantage and measurement assessment provides necessary guarantor
Barrier.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know basic creation
Property concept, then can make other change and modification to these embodiments.So, claims are intended to be construed to including excellent
Select embodiment and fall into being had altered and changing of the scope of the invention.
Obviously, those skilled in the art can carry out the various changes and modification essence without deviating from the present invention to the present invention
God and scope.So, if these modifications of the present invention and modification belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprise these changes and modification.
Claims (9)
1. a kind of strip steel cross-sectional outling defect local high spot quantization method is it is characterised in that include：
Detection obtains the thickness data of hot-strip transverse section, and described thickness data includes the multiple of described hot-strip transverse section
Multiple thickness values corresponding to sampled point；
Described thickness data is fitted obtaining with the matched curve of described thickness data, comprise in described matched curve described in adopt
Sampling point and the corresponding relation of described thickness value；
Obtain the coordinate of the quantity of extreme point in described matched curve and at least one extreme point；
Determine the defect type of described hot-strip transverse section based on the quantity of described extreme point；
When described defect type is local high spot defect, described hot rolling is calculated based on the coordinate of at least one extreme point described
The value of the profile defects local high spot of strip steel transverse section；
Wherein, described described thickness data is fitted obtaining with the matched curve of described thickness data, specially：
Described thickness data is carried out with six order polynomial regression fits, and then obtains described matched curve, and obtain described matching
Six order polynomial regression equations of curve, described six order polynomial regression equations are specially：
Y=A X6+B·X5+C·X4+D·X3+E·X2+F·X+G
Wherein, Y is the thickness of described hot-strip transverse section, and unit is mm；
X is the width coordinate along transverse section for the described hot-strip, and unit is mm；
A, B, C, D, E, F, G are the coefficient of the six order polynomial regression equation factors.
2. the method for claim 1 is it is characterised in that calculate described hot-strip transverse section by below equation
The value of profile defects local high spot：
Max{|Yj1-Yj2|,|Yjm-Yjk|}
Wherein, Yj1 represents the ordinate value of the extreme point of the leftmost side of described hot-strip transverse section；
Yj2 represents the ordinate value of the extreme point adjacent with the extreme point of the described leftmost side；
The ordinate value of the extreme point of the rightmost side of hot-strip transverse section described in Yjk；
Yjm represents the ordinate value of the extreme point adjacent with the extreme point of the described rightmost side.
3. the method for claim 1 is it is characterised in that methods described also includes：
When the quantity of described extreme point is equal to 5, determine that described hot-strip transverse section has first kind local high spot defect,
When described hot-strip transverse section has described first kind local high spot defect, described hot-strip transverse section is in available shape
State；
When the quantity of described extreme point is more than 5, determine that described hot-strip transverse section has Equations of The Second Kind local high spot defect,
When described hot-strip transverse section has described Equations of The Second Kind local high spot defect, described hot-strip transverse section is in unavailable shape
State.
4. the method for claim 1 is it is characterised in that described determine described hot rolling based on the quantity of described extreme point
The defect type of strip steel transverse section, specifically includes：
When the quantity of described extreme point is 1, determine described hot-strip transverse section not existing defects；
When the quantity of described extreme point is 2, determine that described hot-strip transverse section has wedge shape defect；
When the quantity of described extreme point is 3 or 4, determine that described hot-strip transverse section has convexity defect；
When the quantity of described extreme point is not less than 5, determine that described hot-strip transverse section has described local high spot defect.
5. the method for claim 1 it is characterised in that the quantity of extreme point in the described matched curve of described acquisition and
The coordinate of each extreme point, specifically includes：
Once differentiation is carried out to described six order polynomial regression equations, obtains quintic algebra curve slope equation as follows：
Y=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F
Make the Y in described quintic algebra curve slope equation be 0, obtain following quintic algebra curve 0 slope equation：
0=6 A X5+5·B·X4+4·C·X3+3·D·X2+2·E·X+F
Solve the X value obtaining in described quintic algebra curve 0 slope equation, described X value is the abscissa of each extreme point.
6. method as claimed in claim 5 is it is characterised in that described solution obtains in described quintic algebra curve slope equation
X value, specially：
If XiIt is 0 that value makes the value of described quintic algebra curve slope equation, then XiFor described quintic algebra curve slope equation one
Solution, XiSpan be [0～Xn], XnSpan be [W-s, W+s], W represents the width of described hot-strip transverse section
Degree, s represents XiValue changes step increments variable quantity；
If XiThe result of gained and X after the value described quintic algebra curve slope equation of substitutioni+1Value substitutes into described quintic algebra curve slope
The result opposite sign of gained, then (X after equationi+Xi+1)/2 are a solution of described quintic algebra curve slope equation, Xi+1
Span be [0～Xn], XnSpan be [W-s, W+s], W represents the width of described hot-strip transverse section, s table
Show XiValue changes step increments variable quantity.
7. a kind of strip steel cross-sectional outling defect local high spot quantization device is it is characterised in that include：
Detection module, obtains the thickness data of hot-strip transverse section for detection, and described thickness data includes described hot-rolled strip
Multiple thickness values corresponding to multiple sampled points of steel transverse section；
Fitting module, for described thickness data is fitted obtaining with the matched curve of described thickness data, described matching is bent
The corresponding relation of described sampled point and described thickness value is comprised in line；
Obtain module, for obtaining the quantity of the extreme point in described matched curve and the coordinate of at least one extreme point；
Determining module, for determining the defect type of described hot-strip transverse section based on the quantity of described extreme point；
Computing module, for described defect type be local high spot defect when, the coordinate based at least one extreme point described
Calculate the value of the profile defects local high spot of described hot-strip transverse section；
Wherein, described fitting module, specifically for：
Described thickness data is carried out with six order polynomial regression fits, and then obtains described matched curve, and obtain described matching
Six order polynomial regression equations of curve, described six order polynomial regression equations are specially：
Y=A X6+B·X5+C·X4+D·X3+E·X2+F·X+G
Wherein, Y is the thickness of described hot-strip transverse section, and unit is mm；
X is the width coordinate along transverse section for the described hot-strip, and unit is mm；
A, B, C, D, E, F, G are the coefficient of the six order polynomial regression equation factors.
8. device as claimed in claim 7 is it is characterised in that described computing module is described for being calculated by below equation
The value of the profile defects local high spot of hot-strip transverse section：
Max{|Yj1-Yj2|,|Yjm-Yjk|}
Wherein, Yj1 represents the ordinate value of the extreme point of the leftmost side of described hot-strip transverse section；
Yj2 represents the ordinate value of the extreme point adjacent with the extreme point of the described leftmost side；
The ordinate value of the extreme point of the rightmost side of hot-strip transverse section described in Yjk；
Yjm represents the ordinate value of the extreme point adjacent with the extreme point of the described rightmost side.
9. device as claimed in claim 7 is it is characterised in that described determining module is additionally operable to：
When the quantity of described extreme point is equal to 5, determine that described hot-strip transverse section has first kind local high spot defect,
When described hot-strip transverse section has described first kind local high spot defect, described hot-strip transverse section is in available shape
State；
When the quantity of described extreme point is more than 5, determine that described hot-strip transverse section has Equations of The Second Kind local high spot defect,
When described hot-strip transverse section has described Equations of The Second Kind local high spot defect, described hot-strip transverse section is in unavailable shape
State.
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| CN106290776A (en) * | 2016-09-27 | 2017-01-04 | 马鞍山钢铁股份有限公司 | Strip process parameter detection method with a length of unit |
| CN106780427B (en) * | 2016-11-10 | 2019-07-09 | 浙江科技学院 | A kind of bergamot pear bruise discrimination method based on OCT image |
| CN107470375B (en) * | 2017-07-13 | 2019-06-11 | 北京科技大学 | A kind of online recognition method of the local high concave point in strip cross section |
| CN107999548B (en) * | 2017-12-07 | 2020-03-17 | 北京首钢股份有限公司 | Method and device for identifying local high points of hot-rolled strip steel profile |
| CN112179308A (en) * | 2020-09-11 | 2021-01-05 | 山东钢铁集团日照有限公司 | Hot-rolled steel strip cross section contour local high point grading discrimination method |
| CN112504163B (en) * | 2020-12-11 | 2022-08-02 | 北京首钢股份有限公司 | Method and device for acquiring contour curve of hot-rolled strip steel cross section and electronic equipment |
| CN113198839B (en) * | 2021-04-14 | 2023-01-20 | 首钢集团有限公司 | Method, device and equipment for diagnosing distribution rationality of shape data of machine frame discontinuity |
| CN113198853B (en) * | 2021-04-14 | 2023-09-15 | 首钢集团有限公司 | Method and device for detecting profile defects of steel plate |
| CN114858120B (en) * | 2022-04-15 | 2023-12-12 | 首钢集团有限公司 | Evaluation method and device for strip steel plate profile warping |
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| CN100408212C (en) * | 2002-06-28 | 2008-08-06 | 宝山钢铁股份有限公司 | Process for detecting sheet steel product cross-sectional outline and shape |
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