CN106875104A - A kind of cold-strip steel quality overall evaluation method - Google Patents
A kind of cold-strip steel quality overall evaluation method Download PDFInfo
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Abstract
The present invention relates to a kind of cold-strip steel quality overall evaluation method, the method based on step analysis law theory and Fuzzy Synthetic Evaluation law theory, by plate face, plate shape, thickness of slab quality analysis and quality evaluation, quality overall evaluation is carried out to strip.Including board surface quality evaluation, strip shape quality evaluation, thickness of slab quality evaluation, strip quality overall merit etc., plate face, plate shape, thickness of slab quality assessment module establish quality evaluation rule to the present invention according to evaluation index, then carry out the quality grade evaluation of each module.Strip quality synthetic basis of evaluation evaluation rule, with reference to each module evaluation result, carries out overall merit.Strip quality major influence factors are carried out performance rating by the present invention, and are organically combined, and establish strip quality comprehensive evaluation model, realize the intelligentized overall merit to strip quality.
Description
【Technical field】
The invention belongs to strip quality assessment technique field, it is related to a kind of cold-strip steel quality overall evaluation method, is applicable
In the cold-strip steel intellectuality online quality evaluation of line production system.
【Background technology】
Strip quality evaluation includes multiple evaluation indexes, mainly including board surface quality, strip shape quality, thickness of slab quality etc. other
Quality evaluation index.Current cold rolled strip steel production line has various control system, can timely detect real-time production data, but
It is that each system shortage is effective integrated, the Monitoring Data of each system is not utilized effectively and is analyzed, it is impossible to which realization is to band steel
The overall merit of amount;It is most to carry out quality evaluation according to field worker experience, it is difficult to make accurate comprehensively quality evaluation;And
Existing quality evaluation index is single, consider unilateral, and quality evaluation result lacks the ranking that becomes more meticulous.
【The content of the invention】
It is an object of the invention to be directed to, current cold continuous rolling production line strip quality evaluation index is single, evaluation meanses fall
Afterwards, the problems such as quality overall evaluation vacancy, there is provided a kind of cold-strip steel quality overall evaluation method.
To reach above-mentioned purpose, the present invention is achieved using following technical scheme:
A kind of cold-strip steel quality overall evaluation method, comprises the following steps:
1) cold-strip steel board surface quality is evaluated:
With analytic hierarchy process (AHP) and fuzzy evaluation method as theoretical foundation, the defect weight of calculating plate face major defect, or according to
Practical production experience and need to defect weight assignment;Severity level is provided according to defect characteristic for each defect, is led to
The defect calculated value for quantifying is crossed to evaluate strip board surface quality;
2) cold-rolled strip steel shape quality evaluation:
Based on analytic hierarchy process (AHP) and fuzzy evaluation method, the defect weight of plate shape major defect is calculated, or according to reality
Knowhow and need to defect weight assignment;Severity level, throughput are provided according to defect characteristic for each defect
The defect calculated value of change is evaluated belt plate shape quality;
3) cold-strip steel thickness of slab quality evaluation:
Based on analytic hierarchy process (AHP) and fuzzy evaluation method, sentence different by the quality to thickness of slab curve, including overproof point
Quality sentences different and curve ripple kinoplaszm amount assessment, and strip thickness of slab quality is evaluated;
4) cold-strip steel quality overall evaluation:
On the basis of board surface quality, strip shape quality, thickness of slab quality evaluation is carried out respectively, by board surface quality, plate shape matter
Amount, the weight of thickness of slab quality and respective quality grade evaluation result, overall merit is carried out to strip quality.
The present invention is further improved:
Step 1) in, the board surface quality evaluation based on analytic hierarchy process (AHP), specific evaluation method is as follows:
Calculate surface defects weight:According to the order of severity that strip surface defects influence on strip quality, by two two-phases
Mutually compare, draw surface defects judgment matrix M, mijRepresent the serious journey that i-th defect influences with j-th defect on board surface quality
The ratio between degree;
Board surface quality evaluation based on analytic hierarchy process (AHP), specific evaluation method is as follows:
Calculate surface defects weight;According to the order of severity that strip surface defects influence on strip quality, by two two-phases
Mutually compare, draw surface defects judgment matrix M, mijRepresent the serious journey that i-th defect influences with j-th defect on board surface quality
The ratio between degree;
According to judgment matrix M, vectorial ω is obtained by calculating its characteristic vector, and being normalized,
ω=(m1 m2 m3 m4 m5 m6 m7 m8 m9)
Wherein m1 m2 m3 m4 m5 m6 m7 m8 m9Defect type scuffing, roll marks, crackle, phosphatization spot, fiber crops are represented respectively
Point, oxide skin, be mingled with, the defect weight of hole, weld seam;
Defect severity level is evaluated;It is as shown in the table for every kind of defect severity level score value assignment:
Grade | 1 | 2 | 3 | 4 | 5 |
Score value | 1 | 3 | 5 | 7 | 9 |
Board surface quality score value is calculated:Surface defects value is calculated according to below equation, plate face matter is carried out according to surface defects value
Amount grade evaluation;
Surface defects value=k1* Σ defect weighted value * severity level value * numbers of defects
Wherein, k1 is board surface quality coefficient, and its value is the inverse of tolerable surface defects defect calculated value maximum.
Step 2) in, the strip shape quality evaluation based on analytic hierarchy process (AHP), specific evaluation method is as follows:
Calculate flatness defect weight;According to the order of severity that strip surface defects influence on strip quality, by two two-phases
Mutually compare, draw flatness defect judgment matrix N, nijRepresent that i-th defect is serious with what j-th defect influenceed on strip shape quality
The ratio between degree;
According to judgment matrix N, by calculating its characteristic vector, and normalized obtains vector:
ω=(n1 n2 n3 n4)
Wherein, n1 n2 n3 n4For middle wave, a quarter are unrestrained, unilateral unrestrained, bilateral wave has a strong impact on to strip shape quality
Degree, i.e. defect weight;
Defect severity level is evaluated;It is as shown in the table for every kind of defect severity level score value assignment:
Grade | 1 | 2 | 3 | 4 | 5 |
Score value | 1 | 3 | 5 | 7 | 9 |
Board surface quality score value is calculated;Plate shape defective value is calculated according to below equation, plate face matter is carried out according to surface defects value
Amount grade evaluation;
Flatness defect value=k2* Σ defects weighted value × severity level value × number of defects
Wherein, k2 is strip shape quality coefficient, and its value is the inverse of tolerable flatness defect calculated value maximum.
Step 3) in, thickness of slab quality evaluation sentences different by the quality to thickness of slab curve, including overproof point quality sentence it is different and
The assessment of curve fluctuation, evaluates strip thickness of slab quality:
Thickness of slab mass value=k3*n σ
Wherein, K3 is thickness of slab quality coefficient, and its value is the inverse of tolerable thickness of slab mass value maximum, and n is entire volume strip
Thickness of slab degree of curve, σ is entire volume strip thickness of slab standard deviation.
Step 4) in, strip quality value is calculated with below equation, according to strip quality value, strip quality is divided into five
Grade:
Z=m*n1+x*n2+h*n3
Wherein, z is strip quality value, and m is board surface quality grade, and n1 is plate face weighted value, and x is strip shape quality grade, n2
It is plate shape weighted value, h is thickness of slab credit rating, and n3 is thickness of slab weighted value.
Compared with prior art, the invention has the advantages that:
The present invention, with reference to practical production experience, builds respectively with analytic hierarchy process (AHP) and Fuzzy Synthetic Evaluation method as theoretical foundation
Riser face Environmental Evaluation Model, strip shape quality evaluation model, thickness of slab Environmental Evaluation Model, in the base evaluated each evaluation submodel
On plinth, strip quality comprehensive evaluation model is set up, the classification evaluation that becomes more meticulous is carried out to strip quality, it is final to solve strip matter
The problems such as measuring single evaluation index, overall merit vacancy.The present invention can respectively to board surface quality, strip shape quality, thickness of slab quality,
Comprehensive quality etc. is evaluated, and qualitative data is easily achieved, and is easy to quality management, can form product quality archives, is favorably improved
Product quality, the power that lightens one's labor cost improves the market competitiveness.The present invention is with analytic hierarchy process (AHP) and Fuzzy Synthetic Evaluation method to manage
By basis, with reference to practical production experience, board surface quality evaluation model, strip shape quality evaluation model, thickness of slab quality are set up respectively and is commented
Valency model, on the basis of evaluating each evaluation submodel, sets up strip quality comprehensive evaluation model, and essence is carried out to strip quality
Refinement classification is evaluated, final the problems such as solve single strip quality evaluation index, overall merit vacancy.
【Brief description of the drawings】
Fig. 1 is strip quality comprehensive evaluation model figure;
Fig. 2 is board surface quality evaluation model figure;
Fig. 3 is strip shape quality evaluation model figure;
Fig. 4 is thickness of slab Environmental Evaluation Model figure.
【Specific embodiment】
The present invention is described in further detail below in conjunction with the accompanying drawings:
Referring to Fig. 1-Fig. 4, cold-strip steel quality overall evaluation method of the present invention is comprised the following steps:
1) board surface quality evaluation
It is main to consider the factors such as surface defects type, the defect order of severity, defects count for board surface quality evaluation.
For the surface defects in production process, definition and description according to enterprise to cold-rolled steel strip products defect, contrast
The relative order of severity of surface defects, sets up surface defects judgment matrix M, mijRepresent i-th defect with j-th defect to plate face
The ratio between order of severity of quality influence.
By calculating the eigenvalue of maximum and corresponding characteristic vector of judgment matrix, then it is normalized, can obtains
To vectorial ω,
ω=(m1 m2 m3 m4 m5 m6 m7 m8 m9)
m1 m2 m3 m4 m5 m6 m7 m8 m9Defect type scuffing, roll marks, crackle, phosphatization spot, pit, oxygen are represented respectively
Change skin, be mingled with, the defect weight of hole, weld seam.Also dependent on practical production experience and needs, plate face major defect is lacked
Fall into weight assignment.
For the severity level evaluation of each defect in plate face, according to the geometric properties of defect, grey value characteristics and
Textural characteristics etc., carry out defect Severity, determine the severity level of defect, for every kind of defect order of severity etc.
Level score value assignment is as shown in the table:
Grade | 1 | 2 | 3 | 4 | 5 |
Score value | 1 | 3 | 5 | 7 | 9 |
Board surface quality score value is calculated.Surface defects value can be calculated according to below equation, plate face is carried out according to surface defects value
Quality grade of evaluation.
Surface defects value=k1* ∑s defect weighted value × severity level value × number of defects
K1 is board surface quality coefficient, and its value is the inverse of tolerable surface defects defect calculated value maximum.
2) strip shape quality evaluation
It is main to consider flatness defect type, the defect order of severity, defects count for the structure of strip shape quality evaluation model
Etc. factor.
For the flatness defect in production process, definition and description according to enterprise to cold-rolled steel strip products defect, contrast
The relative order of severity of flatness defect, sets up flatness defect judgment matrix, by calculating the eigenvalue of maximum of judgment matrix and right
The characteristic vector answered, is then normalized, and can calculate defect weighted value;Also dependent on practical production experience and need
Will, defect weight assignment is carried out to plate shape major defect.
Calculate flatness defect weight.According to the order of severity that strip surface defects influence on strip quality, by two two-phases
Mutually compare, draw flatness defect judgment matrix N, nijRepresent the serious journey that i-th defect influences with j-th defect on strip shape quality
The ratio between degree.
According to judgment matrix N, by calculating its characteristic vector, and it is normalized, can obtain vectorial ω, n1 n2
n3 n4As middle wave, a quarter it is unrestrained, it is unilateral it is unrestrained, it is bilateral wave defect weight.
ω=(n1 n2 n3 n4)
Defect severity level is evaluated.It is high according to defect shape wave for the order of severity evaluation of each defect in plate shape
Degree, width, position etc., carry out defect Severity, determine the severity level of defect, for the serious journey of every kind of defect
Degree grade score value assignment is as shown in the table:
Grade | 1 | 2 | 3 | 4 | 5 |
Score value | 1 | 3 | 5 | 7 | 9 |
Board surface quality score value is calculated.Surface defects value can be calculated according to below equation, plate face is carried out according to surface defects value
Quality grade of evaluation.
Flatness defect value=k2* ∑s defect weighted value × severity level value × number of defects
K2 is strip shape quality coefficient, and its value is the inverse of tolerable flatness defect value maximum.
3) thickness of slab quality evaluation
For the structure of thickness of slab Environmental Evaluation Model, it is main consider thickness of slab dimensional accuracy, thickness of slab curve ripple emotionally condition etc. because
Element.Being transfinited for thickness of slab a little carry out overproof rank evaluation according to overproof scope, and thickness of slab fluctuation situation is carried out according to thickness of slab variance etc.
Fluctuation assessment of scenario, last to carry out thickness of slab quality grade evaluation with thickness of slab grade according to thickness of slab is overproof, board surface quality value may be used to
Lower formula is calculated, and ranking is carried out to thickness of slab quality by the thickness of slab mass value for calculating.
Thickness of slab mass value=k3*n σ
K3 is thickness of slab quality coefficient, and its value is the inverse of tolerable thickness of slab mass value maximum.N is bent entire volume strip thickness of slab
Line number of times, σ is entire volume strip thickness of slab standard deviation.
4) strip quality overall merit
It is quality evaluation unit with a roll of coil of strip for strip quality comprehensive evaluation model, mainly considers board surface quality, plate
Form quality amount, thickness of slab quality etc., according to Fuzzy Synthetic Evaluation theory and practical production experience, determine plate face, plate shape, thickness of slab quality
Weight and their quality grade of evaluation, strip is obtained by plate face, plate shape, thickness of slab quality weight and its quality evaluation grade
Mass value, then carries out strip Quality evaluation.Plate face, plate shape, thickness of slab weight can be determined according to expert assessment method.
Z=m*n1+x*n2+h*n3
z:Strip quality value
m:Board surface quality grade, n1:Plate face weighted value;
x:Strip shape quality grade, n2:Plate shape weighted value;
h:Thickness of slab credit rating, n3:Thickness of slab weighted value.
Above content is only explanation technological thought of the invention, it is impossible to limit protection scope of the present invention with this, every to press
According to technological thought proposed by the present invention, any change done on the basis of technical scheme each falls within claims of the present invention
Protection domain within.
Claims (5)
1. a kind of cold-strip steel quality overall evaluation method, it is characterised in that comprise the following steps:
1) cold-strip steel board surface quality is evaluated:
With analytic hierarchy process (AHP) and fuzzy evaluation method as theoretical foundation, the defect weight of plate face major defect is calculated, or according to reality
Knowhow and need to defect weight assignment;Severity level, throughput are provided according to defect characteristic for each defect
The defect calculated value of change is evaluated strip board surface quality;
2) cold-rolled strip steel shape quality evaluation:
Based on analytic hierarchy process (AHP) and fuzzy evaluation method, the defect weight of plate shape major defect is calculated, or according to actual production
Experience and need to defect weight assignment;Severity level is provided according to defect characteristic for each defect, by what is quantified
Defect calculated value is evaluated belt plate shape quality;
3) cold-strip steel thickness of slab quality evaluation:
Based on analytic hierarchy process (AHP) and fuzzy evaluation method, sentence different by the quality to thickness of slab curve, including overproof point quality
Sentence different and curve ripple kinoplaszm amount assessment, strip thickness of slab quality is evaluated;
4) cold-strip steel quality overall evaluation:
On the basis of board surface quality, strip shape quality, thickness of slab quality evaluation is carried out respectively, by board surface quality, strip shape quality, plate
The weight of thick quality and respective quality grade evaluation result, overall merit is carried out to strip quality.
2. cold-strip steel quality overall evaluation method according to claim 1, it is characterised in that step 1) in, based on layer
The board surface quality evaluation of fractional analysis, specific evaluation method is as follows:
Calculate surface defects weight:According to the order of severity that strip surface defects influence on strip quality, by mutually comparing two-by-two
Compared with drawing surface defects judgment matrix M, mijRepresent the order of severity that i-th defect influence with j-th defect on board surface quality it
Than;
Board surface quality evaluation based on analytic hierarchy process (AHP), specific evaluation method is as follows:
Calculate surface defects weight;According to the order of severity that strip surface defects influence on strip quality, by mutually comparing two-by-two
Compared with drawing surface defects judgment matrix M, mijRepresent the order of severity that i-th defect influence with j-th defect on board surface quality it
Than;
According to judgment matrix M, vectorial ω is obtained by calculating its characteristic vector, and being normalized,
ω=(m1 m2 m3 m4 m5 m6 m7 m8 m9)
Wherein m1 m2 m3 m4 m5 m6 m7 m8 m9Defect type scuffing, roll marks, crackle, phosphatization spot, pit, oxygen are represented respectively
Change skin, be mingled with, the defect weight of hole, weld seam;
Defect severity level is evaluated;It is as shown in the table for every kind of defect severity level score value assignment:
Board surface quality score value is calculated:Surface defects value is calculated according to below equation, board surface quality etc. is carried out according to surface defects value
Level is evaluated;
Surface defects value=k1* ∑ defect weighted value * severity level value * numbers of defects
Wherein, k1 is board surface quality coefficient, and its value is the inverse of tolerable surface defects defect calculated value maximum.
3. cold-strip steel quality overall evaluation method according to claim 1, it is characterised in that step 2) in, based on layer
The strip shape quality evaluation of fractional analysis, specific evaluation method is as follows:
Calculate flatness defect weight;According to the order of severity that strip surface defects influence on strip quality, by mutually comparing two-by-two
Compared with drawing flatness defect judgment matrix N, nijRepresent the order of severity that i-th defect influence with j-th defect on strip shape quality it
Than;
According to judgment matrix N, by calculating its characteristic vector, and normalized obtains vector:
ω=(n1 n2 n3 n4)
Wherein, n1 n2 n3 n4For middle wave, a quarter are unrestrained, unilateral unrestrained, bilateral wave has a strong impact on degree to strip shape quality,
That is defect weight;
Defect severity level is evaluated;It is as shown in the table for every kind of defect severity level score value assignment:
Board surface quality score value is calculated;Plate shape defective value is calculated according to below equation, board surface quality etc. is carried out according to surface defects value
Level is evaluated;
Flatness defect value=k2* ∑s defect weighted value × severity level value × number of defects
Wherein, k2 is strip shape quality coefficient, and its value is the inverse of tolerable flatness defect calculated value maximum.
4. cold-strip steel quality overall evaluation method according to claim 1, it is characterised in that step 3) in, thickness of slab matter
Amount is evaluated, and sentences different by the quality to thickness of slab curve, including the quality of overproof point sentences different and curve fluctuation assessment, to strip
Thickness of slab quality is evaluated:
Thickness of slab mass value=k3*n σ
Wherein, K3 is thickness of slab quality coefficient, and its value is the inverse of tolerable thickness of slab mass value maximum, and n is entire volume strip thickness of slab
Degree of curve, σ is entire volume strip thickness of slab standard deviation.
5. cold-strip steel quality overall evaluation method according to claim 1, it is characterised in that step 4) in, band steel
Value is calculated with below equation, according to strip quality value, strip quality is divided into five grades:
Z=m*n1+x*n2+h*n3
Wherein, z is strip quality value, and m is board surface quality grade, and n1 is plate face weighted value, and x is strip shape quality grade, and n2 is plate
Shape weighted value, h is thickness of slab credit rating, and n3 is thickness of slab weighted value.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107764837A (en) * | 2017-09-25 | 2018-03-06 | 北京首钢股份有限公司 | A kind of decision method and system of non-oriented electrical steel surface quality |
CN109408396A (en) * | 2018-11-12 | 2019-03-01 | 中国科学院长春光学精密机械与物理研究所 | Method for evaluating software quality, device, equipment and computer readable storage medium |
CN110216319A (en) * | 2019-06-14 | 2019-09-10 | 北京科技大学 | A kind of cut deal optimizing shear control method based on surface quality online evaluation |
CN111299318A (en) * | 2020-03-02 | 2020-06-19 | 马鞍山钢铁股份有限公司 | Automatic determination method for surface quality of hot-rolled plate strip product |
WO2020134210A1 (en) * | 2018-12-29 | 2020-07-02 | 中冶南方工程技术有限公司 | Cold-rolled strip steel surface quality management system and method |
CN115193921A (en) * | 2022-06-17 | 2022-10-18 | 北京科技大学 | Multi-objective decision-making-based plate shape quality comprehensive evaluation method and device |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102222279A (en) * | 2011-06-14 | 2011-10-19 | 华南理工大学 | Evaluation method of leather-making industry technology based on fuzzy comprehensive evaluation method |
CN103376085A (en) * | 2013-07-05 | 2013-10-30 | 燕山大学 | Intelligent and comprehensive evaluation method for cold-rolled strip steel plate shapes |
CN103426137A (en) * | 2013-07-16 | 2013-12-04 | 清华大学 | Method for quantitatively and comprehensively assessing defects of drainage pipelines |
US20160145994A1 (en) * | 2014-11-20 | 2016-05-26 | Petrochina Company Limited | Evaluation Method and Evaluation Device for Water Breakthrough Risk of Production Wells in Aquifer Drive Gas Reservoirs |
-
2017
- 2017-01-21 CN CN201710052126.7A patent/CN106875104A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102222279A (en) * | 2011-06-14 | 2011-10-19 | 华南理工大学 | Evaluation method of leather-making industry technology based on fuzzy comprehensive evaluation method |
CN103376085A (en) * | 2013-07-05 | 2013-10-30 | 燕山大学 | Intelligent and comprehensive evaluation method for cold-rolled strip steel plate shapes |
CN103426137A (en) * | 2013-07-16 | 2013-12-04 | 清华大学 | Method for quantitatively and comprehensively assessing defects of drainage pipelines |
US20160145994A1 (en) * | 2014-11-20 | 2016-05-26 | Petrochina Company Limited | Evaluation Method and Evaluation Device for Water Breakthrough Risk of Production Wells in Aquifer Drive Gas Reservoirs |
Non-Patent Citations (1)
Title |
---|
吴艳萍: "板带钢质量综合评价方法研究", 《中国博士学位论文全文数据库工程科技Ⅰ辑》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107764837A (en) * | 2017-09-25 | 2018-03-06 | 北京首钢股份有限公司 | A kind of decision method and system of non-oriented electrical steel surface quality |
CN109408396A (en) * | 2018-11-12 | 2019-03-01 | 中国科学院长春光学精密机械与物理研究所 | Method for evaluating software quality, device, equipment and computer readable storage medium |
WO2020134210A1 (en) * | 2018-12-29 | 2020-07-02 | 中冶南方工程技术有限公司 | Cold-rolled strip steel surface quality management system and method |
CN110216319A (en) * | 2019-06-14 | 2019-09-10 | 北京科技大学 | A kind of cut deal optimizing shear control method based on surface quality online evaluation |
CN111299318A (en) * | 2020-03-02 | 2020-06-19 | 马鞍山钢铁股份有限公司 | Automatic determination method for surface quality of hot-rolled plate strip product |
CN111299318B (en) * | 2020-03-02 | 2022-04-12 | 马鞍山钢铁股份有限公司 | Automatic determination method for surface quality of hot-rolled plate strip product |
CN115193921A (en) * | 2022-06-17 | 2022-10-18 | 北京科技大学 | Multi-objective decision-making-based plate shape quality comprehensive evaluation method and device |
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Application publication date: 20170620 |