CN109002974A - Steel coil surface quality grading judgment method and device - Google Patents
Steel coil surface quality grading judgment method and device Download PDFInfo
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- CN109002974A CN109002974A CN201810701855.5A CN201810701855A CN109002974A CN 109002974 A CN109002974 A CN 109002974A CN 201810701855 A CN201810701855 A CN 201810701855A CN 109002974 A CN109002974 A CN 109002974A
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 38
- 239000010959 steel Substances 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000007547 defect Effects 0.000 claims abstract description 238
- 238000013145 classification model Methods 0.000 claims abstract description 12
- 238000011156 evaluation Methods 0.000 claims description 37
- 238000001514 detection method Methods 0.000 claims description 21
- 230000000877 morphologic effect Effects 0.000 abstract 1
- 238000004590 computer program Methods 0.000 description 9
- 238000007689 inspection Methods 0.000 description 9
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 229910052742 iron Inorganic materials 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 238000005098 hot rolling Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000019771 cognition Effects 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 238000003723 Smelting Methods 0.000 description 1
- 241000287181 Sturnus vulgaris Species 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000000137 annealing Methods 0.000 description 1
- 208000003464 asthenopia Diseases 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000010960 cold rolled steel Substances 0.000 description 1
- 238000005097 cold rolling Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000005246 galvanizing Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012634 optical imaging Methods 0.000 description 1
- 238000012372 quality testing Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06395—Quality analysis or management
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Abstract
The invention relates to a method and a device for judging the surface quality of a steel coil in a grading way, wherein the method comprises the following steps: dividing a steel coil to be detected into N units along the length direction, and sequentially detecting the surface quality of the steel coil of each unit to obtain the surface defect appearance characteristics corresponding to each unit; identifying the surface defects of each unit by adopting a defect classification model based on the surface defect morphological characteristics of each unit to obtain the surface defects of the unit; grading each surface defect of each unit based on a preset rule to obtain the grade defect of each unit; determining the steel coil grade corresponding to each grade defect based on the obtained grade defects of all the units; determining the grade of the whole steel coil of the steel coil to be detected based on the grade of the steel coil corresponding to each grade defect; and determining the standard quality grade corresponding to the grade of the whole coil of steel coil to be detected based on the corresponding relation between the grade of the whole coil of steel coil and the standard quality grade.
Description
Technical field
The present invention relates to iron and steel smelting technology field more particularly to a kind of coil of strip surface quality grading determination methods and dress
It sets.
Background technique
In hot rolling and cold-rolling process, the judgement of coil of strip surface quality is the important composition portion that product quality determines
Point.With the differentiation of user quality demand, the hierarchical of coil of strip surface quality is determined to be main quality judging mode, state
Family standard in surface quality grades have FA, FB, FC and FD (FD grades of highests), in European standard surface quality grades have O3, O4 and
O5 (O5 grades of highests).
According to the defect information that the surface quality detection instrument of situ configuration is found, the logical volume of Quality Inspector has manually checked coil of strip table
After the quality of face, the surface quality grades of coil of strip can be provided.This inspection decision procedure mainly passes through manual inspection and realizes, and main
The experience and ability that rely on Quality Inspector cause to determine result in the presence of poor since Quality Inspector's experience is different, decision metrics are different
It is different.Also, that there is also labor intensities is big for the mode manually determined, and missing inspection easily occurs for slightly carelessness.Usual coils of hot-rolled steel table
Planar defect few then 1,000, cold-rolled steel coils surface defect is ten hundreds of, continuously stares at surface quality detection instrument screen and looks into
Visual fatigue is easily caused and, which is seen, is affected vision has potential hazard to health, also have to the effect of subsequent coil of strip quality judging
Adverse effect.
Therefore, the online classification for how effectively realizing coil of strip surface quality determines, is coil of strip surface quality measurement field
Main problem urgently to be resolved.
Summary of the invention
The embodiment of the invention provides a kind of coil of strip surface quality grading determination method and devices, for providing coil of strip surface
The on-line automatic classification decision procedure of quality improves the accuracy of coil of strip surface quality measurement, reduces cost of labor.
In a first aspect, the present invention provides a kind of coil of strip surface quality grading determination methods, comprising:
Coil of strip to be detected is divided into N number of unit along its length, using surface quality detection instrument successively to each unit
Coil of strip surface quality detection obtains the corresponding surface defect shape characteristic of each unit, wherein N is the integer greater than 1;
Based on the surface defect shape characteristic of each unit, using defect classification model to the surface defect of the unit
It is identified, obtains surface defect existing for the unit;
It is graded based on preset rules to each surface defect existing for each unit, it is existing etc. to obtain each unit
Grade defect;
Grade defect existing for all units based on acquisition determines the corresponding coil of strip grade of each grade defect;
Based on the corresponding coil of strip grade of each grade defect, the entire volume coil of strip grade of the coil of strip to be detected is determined;
Based on the corresponding relationship between entire volume coil of strip grade and standard quality grade, the entire volume steel of the coil of strip to be detected is determined
Roll up the corresponding standard quality grade of grade.
Optionally, described adopt grades to each surface defect existing for each unit based on preset rules, obtains every
Grade defect existing for a unit, comprising:
Obtain the attribute information of the coil of strip to be detected;
Obtain preset rules corresponding with the attribute information;
It is graded using preset rules corresponding with the attribute information to each surface defect existing for each unit,
Obtain grade defect existing for each unit.
Optionally, the attribute information includes the customized user information of the coil of strip to be detected, purposes information, product type
Any one or more in information and steel information combines.
It is optionally, described to obtain preset rules corresponding with the attribute information, comprising:
In the customized user information, purposes information, product type information that the attribute information includes the coil of strip to be detected
In the case of the multiple combinations in steel information, the corresponding preset rules of attribute information of highest priority are obtained, wherein attribute
The sequence of the priority of information from high to low is customized user information, purposes information, product type information and steel information.
It is optionally, described that coil of strip to be detected is divided into N number of unit along its length, comprising:
The head and tail portion of the coil of strip to be detected are rejected by default rejecting length;
Coil of strip to be detected behind rejecting head and tail portion is divided into N number of unit by preset length interval along its length.
Optionally, grade defect existing for all units based on acquisition, determines the corresponding steel of each grade defect
Roll up grade, comprising:
For each grade defect, the number based on the grade defect that each unit occurs determines that each unit is directed to
The evaluation grade of the grade defect and the corresponding weight of the evaluation grade;
It is directed to the evaluation grade and the corresponding weight of the evaluation grade of each grade defect based on each unit, determines every
The corresponding coil of strip grade of a grade defect.
Optionally, described to be based on the corresponding coil of strip grade of each grade defect, determine the whole of the coil of strip to be detected
Coil rolls up grade, comprising:
Determine the corresponding weight of each coil of strip grade;
Based on the corresponding coil of strip grade of each grade defect and the corresponding weight of coil of strip grade, determine described to be detected
The entire volume coil of strip grade of coil of strip.
Optionally, after the corresponding coil of strip grade of each grade defect of the determination, the method also includes:
For each grade defect, warning information corresponding with the coil of strip grade of the grade defect is exported.
Second aspect, the present invention provides a kind of coil of strip surface quality to be classified decision maker, comprising:
First acquisition unit controls surface mass detecting instrument for coil of strip to be detected to be divided into N number of unit along its length
Successively to the coil of strip surface quality detection of each unit, the corresponding surface defect shape characteristic of each unit is obtained, wherein N is
Integer greater than 1;
Second acquisition unit, for the surface defect shape characteristic based on each unit, using defect classification model
The surface defect of the unit is identified, surface defect existing for the unit is obtained;
Third acquiring unit is obtained for being graded based on preset rules to each surface defect existing for each unit
Obtain grade defect existing for each unit;
First determination unit determines each grade defect pair for grade defect existing for all units based on acquisition
The coil of strip grade answered;
Second determination unit determines the steel to be detected for being based on the corresponding coil of strip grade of each grade defect
The entire volume coil of strip grade of volume;
Third determination unit, described in determining based on the corresponding relationship between entire volume coil of strip grade and standard quality grade
The corresponding standard quality grade of entire volume coil of strip grade of coil of strip to be detected.
Optionally, the third acquiring unit is used for:
Obtain the attribute information of the coil of strip to be detected;
Obtain preset rules corresponding with the attribute information;
It is graded using preset rules corresponding with the attribute information to each surface defect existing for each unit,
Obtain grade defect existing for each unit.
Optionally, the attribute information includes the customized user information of the coil of strip to be detected, purposes information, product type
Any one or more in information and steel information combines.
Optionally, the third acquiring unit is used for:
In the customized user information, purposes information, product type information that the attribute information includes the coil of strip to be detected
In the case of the multiple combinations in steel information, the corresponding preset rules of attribute information of highest priority are obtained, wherein attribute
The sequence of the priority of information from high to low is customized user information, purposes information, product type information and steel information.
Optionally, the first acquisition unit is used for:
The head and tail portion of the coil of strip to be detected are rejected by default rejecting length;
Coil of strip to be detected behind rejecting head and tail portion is divided into N number of unit by preset length interval along its length.
Optionally, first determination unit is used for:
For each grade defect, the number based on the grade defect that each unit occurs determines that each unit is directed to
The evaluation grade of the grade defect and the corresponding weight of the evaluation grade;
It is directed to the evaluation grade and the corresponding weight of the evaluation grade of each grade defect based on each unit, determines every
The corresponding coil of strip grade of a grade defect.
Optionally, first determination unit is used for:
Determine the corresponding weight of each coil of strip grade;
Based on the corresponding coil of strip grade of each grade defect and the corresponding weight of coil of strip grade, determine described to be detected
The entire volume coil of strip grade of coil of strip.
Optionally, the electronic equipment further include:
Output unit, for being lacked for each grade after the corresponding coil of strip grade of each grade defect of the determination
It falls into, exports warning information corresponding with the coil of strip grade of the grade defect.
Said one or multiple technical solutions in the embodiment of the present application at least have following one or more technology effects
Fruit:
In the technical solution of the embodiment of the present invention, coil of strip to be detected is divided into N number of unit along its length, utilizes surface
To the coil of strip surface quality detection of each unit, it is special successively to obtain the corresponding surface defect pattern of each unit for mass detecting instrument
Sign, is then based on the surface defect shape characteristic of each unit, is carried out using surface defect of the defect classification model to the unit
Identification, obtains surface defect existing for the unit;Then based on preset rules to each surface defect existing for each unit into
Row grading, obtains grade defect existing for each unit, grade defect existing for all units based on acquisition determines each etc.
The corresponding coil of strip grade of grade defect, is based on the corresponding coil of strip grade of each grade defect, determines the entire volume coil of strip of coil of strip to be detected
Grade, finally, determining the entire volume coil of strip of coil of strip to be detected based on the corresponding relationship between entire volume coil of strip grade and standard quality grade
The corresponding standard quality grade of grade.In this way, by providing the on-line automatic classification decision procedure of coil of strip surface quality, Ke Yi great
The big working efficiency for improving quality inspection, reduces labor intensity, but also can unify Quality Inspector's decision metrics, reduces because of cognition
Deviation is determined caused by difference, improves determination rate of accuracy.
Detailed description of the invention
Fig. 1 is the flow chart for the coil of strip surface quality grading determination method that the application first embodiment provides;
Fig. 2 is the schematic diagram that the coil of strip surface quality that the application second embodiment provides is classified decision maker.
Specific embodiment
The embodiment of the invention provides a kind of coil of strip surface quality grading determination method and devices, for providing coil of strip surface
The on-line automatic classification decision procedure of quality improves the accuracy of coil of strip surface quality measurement, reduces cost of labor, this method packet
It includes: coil of strip to be detected is divided into N number of unit along its length, using surface quality detection instrument successively to the coil of strip table of each unit
Face quality testing obtains the corresponding surface defect shape characteristic of each unit, wherein N is the integer greater than 1;Based on described every
The surface defect shape characteristic of a unit is identified using surface defect of the defect classification model to the unit, obtains the list
Surface defect existing for member;It is graded based on preset rules to each surface defect existing for each unit, obtains each list
Grade defect existing for member;Grade defect existing for all units based on acquisition determines the corresponding coil of strip of each grade defect
Grade;Based on the corresponding coil of strip grade of each grade defect, the entire volume coil of strip grade of the coil of strip to be detected is determined;It is based on
Corresponding relationship between entire volume coil of strip grade and standard quality grade determines that the entire volume coil of strip grade of the coil of strip to be detected is corresponding
Standard quality grade.
Technical solution of the present invention is described in detail below by attached drawing and specific embodiment, it should be understood that the application
Specific features in embodiment and embodiment are the detailed description to technical scheme, rather than to present techniques
The restriction of scheme, in the absence of conflict, the technical characteristic in the embodiment of the present application and embodiment can be combined with each other.
The terms "and/or", only a kind of incidence relation for describing affiliated partner, indicates that there may be three kinds of passes
System, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, these three situations of individualism B.In addition, herein
Middle character "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Embodiment
Referring to FIG. 1, the coil of strip surface quality grading determination method that first embodiment of the invention provides, including walk as follows
It is rapid:
S101: being divided into N number of unit for coil of strip to be detected along its length, using surface quality detection instrument successively to each list
The coil of strip surface quality detection of member, obtains the corresponding surface defect shape characteristic of each unit, wherein N is the integer greater than 1.
Wherein, coil of strip to be detected is divided into N number of unit along its length, comprising: by it is default reject length reject it is described to
Detect the head and tail portion of coil of strip;Coil of strip to be detected behind rejecting head and tail portion is divided along its length by preset length interval
For N number of unit.
Specifically, in the present embodiment, every volume coil of strip to be detected has certain length, detected in surface quality detection instrument
Shi Jun be detected by preset length interval, so, it is necessary first to by coil of strip to be detected along its length on according to default length
Coil of strip is divided into unit one by one by degree interval, and preset length interval can be set as 1 meter, 3 meters etc. according to actual needs, here,
The application is with no restrictions.Further, due to the unstable quality of the part end to end of coil of strip, in order to improve the accurate of quality judging
Property, need to reject the head and tail portion of coil of strip to be detected by default rejecting length, presetting rejecting length can also be according to actual needs
It is set as 5 meters, 8 meters etc., here, the application is with no restrictions.
For each unit, the corresponding surface defect shape characteristic of the unit can detect that by surface quality detection instrument,
Specifically, surface quality detection instrument detects the shape characteristic different from matrix gray value, characteristic value by optical imaging concept,
It is identified as defect, this function is to detect the basic function of instrument itself.No matter which kind of surface quality detection instrument is used, for allusion quotation
Type defect requires recall rate to reach 95% or more, requires recall rate to reach 90% or more slight, tiny defect.
In turn, after the shape characteristic for determining each unit, step S102: the surface based on each unit is executed
Defect shape characteristic is identified using surface defect of the defect classification model to the unit, obtains surface existing for the unit
Defect.
Specifically, in the present embodiment, can be identified by the defect classification model configured to surface defect.Specifically
, by establishing different steel classification devices, the training of defect picture is collected to each classifier respectively, generates defect classification model,
The surface defect detected is precisely identified, defect title is obtained.
Further, for causing same defect to factors such as different tables inspection instrument equipment, different maintenance personnel, there are many titles
The case where standardized, and give specification defect title, such as: examine instrument defect title for the table of certain producing line, establish and specification
Face, since table inspection instrument detects accurate and careful needs, is stuck up skin and is subdivided by the corresponding relationship of defect title by taking hot rolling as an example
Linearly stick up skin, face sticks up skin, it is small stick up skin, skin is stuck up in dispersion and it is band-like stick up skin, in no particular/special requirement, need this five kinds of tables inspection instrument
The defect title of detection corresponds to the specification defect title of " face sticks up skin ".
In turn, after identifying defect existing for each unit, the grading of severity is also carried out for each defect.
So executing step S103: being graded based on preset rules to each surface defect existing for each unit, obtain each list
Grade defect existing for member.
Step S103 can be specifically achieved by the steps of: obtain the attribute information of the coil of strip to be detected;Acquisition and institute
State the corresponding preset rules of attribute information;Using preset rules corresponding with the attribute information to each existing for each unit
Surface defect is graded, and grade defect existing for each unit is obtained.
Wherein, the attribute information includes customized user information, purposes information, the product type letter of the coil of strip to be detected
Any one or more combination in breath and steel information.In the customized user letter that the attribute information includes the coil of strip to be detected
In the case of multiple combinations in breath, purposes information, product type information and steel information, the attribute information of highest priority is obtained
Corresponding preset rules, wherein the sequence of the priority of attribute information from high to low is customized user information, purposes information, produces
Product type information and steel information.
Specifically, in the present embodiment, attribute information may include customized user information, purposes information, product type information
And steel information, the priority for needing to carry out different attribute information divide.In the present embodiment, it is set from high to low according to priority
It is set to customized user information, purposes information, product type information and steel information totally four ranks, in no special instruction
Be defaulted as only to product type information design preset rules, i.e., for hot-rolled product, acid-washed product, continuous annealing product, galvanizing production,
Tin-plated product etc. carries out different preset rules settings.
Such as: the rule of the corresponding severity level of different customized user informations is different, such as: being linearly mingled with this and lacks
It falls into, corresponding 1 grade of customized user A is mingled with decision condition linearly for L≤20mm or B≤2mm, and L indicates defect length (mm), B table
Show defect width (mm).Corresponding 1 grade of customized user B is mingled with decision condition linearly for L≤18mm or B≤3mm.So different
The corresponding preset rules of customized user information it is different.Similarly, the different corresponding preset rules of purposes information are also different, different
The corresponding preset rules of product type information it is also different, the corresponding preset rules of different steel information are also different.These rule
It then can be set according to actual needs, the application is with no restrictions herein.
If it include a variety of in the attribute information of coil of strip to be detected, such as: it include customized user information and steel information,
It, can be according to the corresponding default rule of customized user information since the priority of customized user information is higher than the priority of steel information
The severity for then carrying out defect is graded.
In turn, when grading to surface defect having detected that, having determined that title, defect severity level, than
Such as: set 5 grades altogether, be 1,2,3,4,5 grade respectively, severity from light to heavy, i.e., 1 grade be mired, 2 grades be it is slight, 3 grades be
Moderate, 4 grades be severe, 5 grades be serious.Assuming that L indicates defect length (mm) for being linearly mingled with this defect, B indicates to lack
It falls into width (mm), in the preset rules for being hot-rolled product with product type, 1 grade is defined as L≤20mm or B≤2mm, and 2 grades fixed
Justice is 20 < L≤100mm or 2 < B≤3mm, and 3 grades are defined as 100 < L≤200mm or 3 < B≤4mm, 4 grades be defined as 200 < L≤
300mm or 4<B≤5mm, 5 grades are defined as L>300mm or B>5mm.In turn, in this way, each list can be determined
Grade defect existing for member, such as: the 1st unit is linearly mingled with there are 1 grade, and 2 grades are linearly mingled with.There are 1 grade of lines for 2nd unit
Property is mingled with, and 3 grades are linearly mingled with.3rd unit is linearly mingled with there are 2 grades, and 4 grades are linearly mingled with etc..
In turn, after determining grade defect existing for each unit, step S104: all units based on acquisition is executed
Existing grade defect determines the corresponding coil of strip grade of each grade defect.The step can be accomplished in that
For each grade defect, the number based on the grade defect that each unit occurs determines that each unit is directed to
The evaluation grade of the grade defect and the corresponding weight of the evaluation grade;
It is directed to the evaluation grade and the corresponding weight of the evaluation grade of each grade defect based on each unit, determines every
The corresponding coil of strip grade of a grade defect.
Specifically, in the present embodiment, the corresponding weighted value of different level of evaluation is preset, weight setting method is intended to
Influence of the major defect to product quality intuitively is embodied, is the algorithm basis of quantitatively evaluating, and it is more serious to embody defect
The bigger theory of weight, the corresponding weighted value of different level of evaluation can be set according to actual needs in the specific implementation process
It is fixed, here, the application is with no restrictions.
In turn, when calculating the corresponding coil of strip grade of different brackets defect, it is thus necessary to determine that each unit is directed to the grade defect
Evaluation grade.Following table shows the number that different grade surface defects occurs in a unit, and different numbers are corresponding
Each unit is directed to the evaluation grade of the grade defect.The unit evaluation of matrix form is established according to defect title and evaluation grade
Table, specific example such as the following table 1:
Table 1
It should be noted that number described in table 1 represents defect number in a unit, for 3 iron scale of grade,
Occurs 1 to 5 in one unit, the evaluation grade for showing that the unit is directed to 3 iron scale of grade is 1, is shown if >=6
The unit is 2 for the evaluation grade of 3 iron scale of grade.And major defect this for hole, as long as occurring one, table
The bright unit is 5 for the evaluation grade of hole.
In turn, the evaluation grade and the corresponding weight of the evaluation grade of each grade defect are directed to based on each unit,
Using average weighted mode, the corresponding coil of strip grade of each grade defect is determined.Specifically, being directed to A grade defect B, unit 1
Evaluation grade to A grade defect B is C1, and the corresponding weight of evaluation grade C1 is D1.Assessment etc. of the unit 2 to A grade defect B
Grade is C2, and the corresponding weight of evaluation grade C2 is D2.And so on, unit N is CN, assessment to the evaluation grade of A grade defect B
The corresponding weight of grade CN is DN, then the coil of strip grade of A grade defect B=(C1 × D1+C2 × D2+ ...+CN × DN)/(D1+
D2+……+DN).If calculated coil of strip grade includes decimal, can Figure correction according to national standards " rounding up "
Rule arrives integer value into house.
It includes 10 units that coil of strip to be detected is illustrated in the following table 2, each unit to the evaluation grade of each grade defect,
The corresponding coil of strip grade (being rounded to integer value) of each grade defect obtained with this.
Table 2
Further, in the present embodiment, it for each grade defect, exports corresponding with the coil of strip grade of the grade defect
Warning information.
Specifically, in the present embodiment, continuing to continue to use above-mentioned example, when the coil of strip grade of A grade defect B is 5, provide
Red alarm.When coil of strip grade is 4, orange alarm is provided.When coil of strip grade is 3, yellow alarm is provided.When coil of strip grade
When being 2 and 1, display green is not alarmed.Red shows that the grade defect is very serious, and orange expression grade defect is more serious, yellow
Color table shows that the grade defect is generally serious, and green indicates that the grade defect is not serious.
The mode for exporting warning information can be with the indicator light of above-mentioned different colours and the title of combination output level defect
The mode of information can also be set according to actual needs by the way of voice broadcast, in the specific implementation process,
Here, the application is with no restrictions.
After the corresponding coil of strip grade for determining each grade defect by step S104, executes step S105: being based on
The corresponding coil of strip grade of each grade defect, determines the entire volume coil of strip grade of the coil of strip to be detected.Step S105 can lead to
Cross following steps realization:
Determine the corresponding weight of each coil of strip grade;Based on the corresponding coil of strip grade of each grade defect and the coil of strip etc.
The corresponding weight of grade, determines the entire volume coil of strip grade of the coil of strip to be detected.
Specifically, in the present embodiment, obtaining different by weighted average mode above-mentioned so grade defect is corresponding
Coil of strip grade after, the entire volume coil of strip grade of coil of strip to be detected can also be obtained using average weighted mode.It presets not
The mode of the corresponding weight with coil of strip grade, weight setting can be consistent with the weight of aforementioned evaluations grade.Certainly, specific power
Weight can also be set according to actual needs, here, the application is with no restrictions.
In turn, it is thus necessary to determine that after the corresponding coil of strip grade of existing all grade defects of coil of strip to be detected, pass through weighting
Average mode is the entire volume coil of strip grade that can determine coil of strip to be detected.Specifically, entire volume coil of strip includes: A1 grade defect B1, it should
The coil of strip grade of grade defect is K1, and the corresponding weight of coil of strip grade K1 is Q1.A2 grade defect B2, the coil of strip of the grade defect
Grade is K2, and the corresponding weight of coil of strip grade K2 is Q2.And so on, AN grade defect BN, the coil of strip grade of the grade defect
For KN, the corresponding weight of coil of strip grade KN is QN.Then entire volume coil of strip grade=(K1 × Q1+K2 × Q2+ ... of coil of strip to be detected
+KN×QN)/(Q1+Q2+……+QN).If calculated entire volume coil of strip grade includes decimal, can count according to national standards
" rounding up " rule of the word revision of the convention arrives integer value into house.
It includes all grade defect and the corresponding coil of strip of each grade defect etc. that coil of strip to be detected is illustrated in the following table 3
Grade, the corresponding entire volume coil of strip grade (being rounded to integer value) of coil of strip to be detected obtained with this.Bring different coil of strip grades into
Corresponding weight, being computed final coil of strip grade is 4.68, is rounded to 5 grades.
Table 3
Further, after obtaining the entire volume coil of strip grade of coil of strip to be detected by step S105, step S106: base is executed
Corresponding relationship between entire volume coil of strip grade and standard quality grade determines that the entire volume coil of strip grade of the coil of strip to be detected is corresponding
Standard quality grade
Specifically, in the present embodiment, the entire volume coil of strip grade of calculating is converted to standard quality grade, the following table 4 provides
The example of hot rolling and the conversion of cold-rolled products grades under regular situation, specific corresponding to relationship can also be required according to different product
It is fixed, here, the application is with no restrictions.
Table 4
Further, the final coil of strip grade of calculating is converted into standard quality grade, such as by the 1 of hot-rolled product, 2 grade
" high-class product ", " Grade A " are converted to, is converted to " FD ", " FC " grade for the 1 of cold-rolled products, 2 grade.Determining steel to be detected
After the standard quality grade of volume, the standard quality grade can also be shown using voice or text mode, so as to construction operation people
Member's energy timely learning is checked, in situation off quality, the parameter of adjustment production in time.
Referring to FIG. 2, the application second embodiment also provides a kind of coil of strip surface quality classification decision maker, comprising:
First acquisition unit 201, for coil of strip to be detected to be divided into N number of unit, control surface quality inspection along its length
Instrument is surveyed successively to the coil of strip surface quality detection of each unit, obtains the corresponding surface defect shape characteristic of each unit, wherein
N is the integer greater than 1;
Second acquisition unit 202, for the surface defect shape characteristic based on each unit, using defect classification mould
Type identifies the surface defect of the unit, obtains surface defect existing for the unit;
Third acquiring unit 203, for being graded based on preset rules to each surface defect existing for each unit,
Obtain grade defect existing for each unit;
First determination unit 204 determines each grade defect for grade defect existing for all units based on acquisition
Corresponding coil of strip grade;
Second determination unit 205 determines described to be detected for being based on the corresponding coil of strip grade of each grade defect
The entire volume coil of strip grade of coil of strip;
Third determination unit 206, for determining institute based on the corresponding relationship between entire volume coil of strip grade and standard quality grade
State the corresponding standard quality grade of entire volume coil of strip grade of coil of strip to be detected.
Further, in the present embodiment, the third acquiring unit 203 is used for:
Obtain the attribute information of the coil of strip to be detected;
Obtain preset rules corresponding with the attribute information;
It is graded using preset rules corresponding with the attribute information to each surface defect existing for each unit,
Obtain grade defect existing for each unit.
Further, in the present embodiment, the attribute information includes customized user information, the purposes of the coil of strip to be detected
Any one or more in information, product type information and steel information combines.
Further, in the present embodiment, the third acquiring unit 203 is used for:
In the customized user information, purposes information, product type information that the attribute information includes the coil of strip to be detected
In the case of the multiple combinations in steel information, the corresponding preset rules of attribute information of highest priority are obtained, wherein attribute
The sequence of the priority of information from high to low is customized user information, purposes information, product type information and steel information.
Further, in the present embodiment, the first acquisition unit 201 is used for:
The head and tail portion of the coil of strip to be detected are rejected by default rejecting length;
Coil of strip to be detected behind rejecting head and tail portion is divided into N number of unit by preset length interval along its length.
Further, in the present embodiment, first determination unit 204 is used for:
For each grade defect, the number based on the grade defect that each unit occurs determines that each unit is directed to
The evaluation grade of the grade defect and the corresponding weight of the evaluation grade;
It is directed to the evaluation grade and the corresponding weight of the evaluation grade of each grade defect based on each unit, determines every
The corresponding coil of strip grade of a grade defect.
Further, in the present embodiment, first determination unit 204 is used for:
Determine the corresponding weight of each coil of strip grade;
Based on the corresponding coil of strip grade of each grade defect and the corresponding weight of coil of strip grade, determine described to be detected
The entire volume coil of strip grade of coil of strip.
Further, in the present embodiment, the electronic equipment further include:
Output unit, for being lacked for each grade after the corresponding coil of strip grade of each grade defect of the determination
It falls into, exports warning information corresponding with the coil of strip grade of the grade defect.
Said one or multiple technical solutions in the embodiment of the present application at least have following one or more technology effects
Fruit:
In the technical solution of the embodiment of the present invention, coil of strip to be detected is divided into N number of unit along its length, utilizes surface
To the coil of strip surface quality detection of each unit, it is special successively to obtain the corresponding surface defect pattern of each unit for mass detecting instrument
Sign, is then based on the surface defect shape characteristic of each unit, is carried out using surface defect of the defect classification model to the unit
Identification, obtains surface defect existing for the unit;Then based on preset rules to each surface defect existing for each unit into
Row grading, obtains grade defect existing for each unit, grade defect existing for all units based on acquisition determines each etc.
The corresponding coil of strip grade of grade defect, is based on the corresponding coil of strip grade of each grade defect, determines the entire volume coil of strip of coil of strip to be detected
Grade, finally, determining the entire volume coil of strip of coil of strip to be detected based on the corresponding relationship between entire volume coil of strip grade and standard quality grade
The corresponding standard quality grade of grade.In this way, by providing the on-line automatic classification decision procedure of coil of strip surface quality, Ke Yi great
The big working efficiency for improving quality inspection, reduces labor intensity, but also can unify Quality Inspector's decision metrics, reduces because of cognition
Deviation is determined caused by difference, improves determination rate of accuracy.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Specifically, the corresponding computer program instructions of coil of strip surface quality grading determination method in the embodiment of the present application
CD can be stored in, hard disk, on the storage mediums such as USB flash disk, when the computer program corresponding with monitoring in storage medium refers to
It enables and is read or be performed by an electronic equipment, include the following steps:
Coil of strip to be detected is divided into N number of unit along its length, using surface quality detection instrument successively to each unit
Coil of strip surface quality detection obtains the corresponding surface defect shape characteristic of each unit, wherein N is the integer greater than 1;
Based on the surface defect shape characteristic of each unit, using defect classification model to the surface defect of the unit
It is identified, obtains surface defect existing for the unit;
It is graded based on preset rules to each surface defect existing for each unit, it is existing etc. to obtain each unit
Grade defect;
Grade defect existing for all units based on acquisition determines the corresponding coil of strip grade of each grade defect;
Based on the corresponding coil of strip grade of each grade defect, the entire volume coil of strip grade of the coil of strip to be detected is determined;
Based on the corresponding relationship between entire volume coil of strip grade and standard quality grade, the entire volume steel of the coil of strip to be detected is determined
Roll up the corresponding standard quality grade of grade.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of coil of strip surface quality grading determination method characterized by comprising
Coil of strip to be detected is divided into N number of unit along its length, using surface quality detection instrument successively to the coil of strip of each unit
Surface quality detection obtains the corresponding surface defect shape characteristic of each unit, wherein N is the integer greater than 1;
Based on the surface defect shape characteristic of each unit, carried out using surface defect of the defect classification model to the unit
Identification, obtains surface defect existing for the unit;
It is graded based on preset rules to each surface defect existing for each unit, obtains grade existing for each unit and lack
It falls into;
Grade defect existing for all units based on acquisition determines the corresponding coil of strip grade of each grade defect;
Based on the corresponding coil of strip grade of each grade defect, the entire volume coil of strip grade of the coil of strip to be detected is determined;
Based on the corresponding relationship between entire volume coil of strip grade and standard quality grade, the entire volume coil of strip etc. of the coil of strip to be detected is determined
The corresponding standard quality grade of grade.
2. the method as described in claim 1, which is characterized in that described to adopt based on preset rules to each existing for each unit
Surface defect is graded, and grade defect existing for each unit is obtained, comprising:
Obtain the attribute information of the coil of strip to be detected;
Obtain preset rules corresponding with the attribute information;
It is graded, is obtained to each surface defect existing for each unit using preset rules corresponding with the attribute information
Grade defect existing for each unit.
3. method according to claim 2, which is characterized in that the attribute information includes that the customization of the coil of strip to be detected is used
Any one or more in family information, purposes information, product type information and steel information combines.
4. method as claimed in claim 3, which is characterized in that it is described to obtain preset rules corresponding with the attribute information,
Include:
In customized user information, purposes information, product type information and the steel that the attribute information includes the coil of strip to be detected
In the case of multiple combinations in kind information, the corresponding preset rules of attribute information of highest priority are obtained, wherein attribute information
Priority sequence from high to low be customized user information, purposes information, product type information and steel information.
5. the method as described in claim 1, which is characterized in that it is described that coil of strip to be detected is divided into N number of unit along its length,
Include:
The head and tail portion of the coil of strip to be detected are rejected by default rejecting length;
Coil of strip to be detected behind rejecting head and tail portion is divided into N number of unit by preset length interval along its length.
6. the method as described in claim 1, which is characterized in that grade defect existing for all units based on acquisition,
Determine the corresponding coil of strip grade of each grade defect, comprising:
For each grade defect, the number based on the grade defect that each unit occurs determines each unit for this etc.
The evaluation grade and the corresponding weight of the evaluation grade of grade defect;
It is directed to the evaluation grade and the corresponding weight of the evaluation grade of each grade defect based on each unit, determines each etc.
The corresponding coil of strip grade of grade defect.
7. the method as described in claim 1, which is characterized in that described to be based on corresponding coil of strip of each grade defect etc.
Grade, determines the entire volume coil of strip grade of the coil of strip to be detected, comprising:
Determine the corresponding weight of each coil of strip grade;
Based on the corresponding coil of strip grade of each grade defect and the corresponding weight of coil of strip grade, the coil of strip to be detected is determined
Entire volume coil of strip grade.
8. the method as described in claim 1, which is characterized in that the corresponding coil of strip grade of each grade defect of the determination it
Afterwards, the method also includes:
For each grade defect, warning information corresponding with the coil of strip grade of the grade defect is exported.
9. a kind of coil of strip surface quality is classified decision maker characterized by comprising
First acquisition unit, for coil of strip to be detected to be divided into N number of unit along its length, control surface mass detecting instrument is successively
To the coil of strip surface quality detection of each unit, the corresponding surface defect shape characteristic of each unit is obtained, wherein N is greater than 1
Integer;
Second acquisition unit, for the surface defect shape characteristic based on each unit, using defect classification model to this
The surface defect of unit is identified, surface defect existing for the unit is obtained;
Third acquiring unit is obtained every for being graded based on preset rules to each surface defect existing for each unit
Grade defect existing for a unit;
First determination unit determines that each grade defect is corresponding for grade defect existing for all units based on acquisition
Coil of strip grade;
Second determination unit determines the coil of strip to be detected for being based on the corresponding coil of strip grade of each grade defect
Entire volume coil of strip grade;
Third determination unit, for determining described to be checked based on the corresponding relationship between entire volume coil of strip grade and standard quality grade
Survey the corresponding standard quality grade of entire volume coil of strip grade of coil of strip.
10. device as claimed in claim 9, which is characterized in that the third acquiring unit is used for:
Obtain the attribute information of the coil of strip to be detected;
Obtain preset rules corresponding with the attribute information;
It is graded, is obtained to each surface defect existing for each unit using preset rules corresponding with the attribute information
Grade defect existing for each unit.
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104751288A (en) * | 2015-03-30 | 2015-07-01 | 北京首钢自动化信息技术有限公司 | Segment-based multi-dimensional online quality evaluation system and method for steel coils |
CN107808241A (en) * | 2017-10-16 | 2018-03-16 | 山西太钢不锈钢股份有限公司 | A kind of stainless steel surfaces testing result overall analysis system |
-
2018
- 2018-06-29 CN CN201810701855.5A patent/CN109002974A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104751288A (en) * | 2015-03-30 | 2015-07-01 | 北京首钢自动化信息技术有限公司 | Segment-based multi-dimensional online quality evaluation system and method for steel coils |
CN107808241A (en) * | 2017-10-16 | 2018-03-16 | 山西太钢不锈钢股份有限公司 | A kind of stainless steel surfaces testing result overall analysis system |
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CN111968104A (en) * | 2020-08-27 | 2020-11-20 | 中冶赛迪重庆信息技术有限公司 | Machine vision-based steel coil abnormity identification method, system, equipment and medium |
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