CN111488922B - Intermediate blank camber classification identification and quality judgment method and system - Google Patents
Intermediate blank camber classification identification and quality judgment method and system Download PDFInfo
- Publication number
- CN111488922B CN111488922B CN202010259577.XA CN202010259577A CN111488922B CN 111488922 B CN111488922 B CN 111488922B CN 202010259577 A CN202010259577 A CN 202010259577A CN 111488922 B CN111488922 B CN 111488922B
- Authority
- CN
- China
- Prior art keywords
- intermediate blank
- camber
- offset
- length
- central line
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000005452 bending Methods 0.000 claims abstract description 14
- 238000007781 pre-processing Methods 0.000 claims abstract description 6
- 230000005540 biological transmission Effects 0.000 claims description 21
- 230000007547 defect Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 8
- 239000011159 matrix material Substances 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000001186 cumulative effect Effects 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000005096 rolling process Methods 0.000 abstract description 11
- 229910000831 Steel Inorganic materials 0.000 abstract description 6
- 239000010959 steel Substances 0.000 abstract description 6
- IUVCFHHAEHNCFT-INIZCTEOSA-N 2-[(1s)-1-[4-amino-3-(3-fluoro-4-propan-2-yloxyphenyl)pyrazolo[3,4-d]pyrimidin-1-yl]ethyl]-6-fluoro-3-(3-fluorophenyl)chromen-4-one Chemical compound C1=C(F)C(OC(C)C)=CC=C1C(C1=C(N)N=CN=C11)=NN1[C@@H](C)C1=C(C=2C=C(F)C=CC=2)C(=O)C2=CC(F)=CC=C2O1 IUVCFHHAEHNCFT-INIZCTEOSA-N 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000013441 quality evaluation Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 206010035148 Plague Diseases 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000005098 hot rolling Methods 0.000 description 1
- 239000013072 incoming material Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Evolutionary Computation (AREA)
- Entrepreneurship & Innovation (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Public Health (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Control Of Metal Rolling (AREA)
Abstract
The invention provides a method for classifying, identifying and judging quality of a camber of an intermediate billet, which particularly relates to the technical field of steel rolling automation, and can accurately classify, identify and judge the quality of the camber of the intermediate billet, and comprises the following steps: step S1: preprocessing the offset of the full-length central line of the intermediate blank; step S2: performing preliminary quality judgment on the offset of the full-length center line of the intermediate blank; step S3: setting a standard template library function of intermediate blank camber; step S4: determining the type of the intermediate billet camber by adopting a classification and identification algorithm; step S5: calculating characteristic parameters of intermediate blanks of different types according to the types of the intermediate blank camber; step S6: and judging the camber quality of the intermediate blank. The method provided by the invention can accurately judge the bending type of the intermediate billet camber and evaluate the quality of the camber.
Description
Technical Field
The invention relates to the technical field of steel rolling automation, in particular to a method and a system for classifying, identifying and judging the quality of a camber of an intermediate billet.
Background
With the development of the steel technology in China, the requirements on high precision, high added value and high technology are higher and higher, and the strip steel shape problem is one of the main problems which plague the production efficiency and the product quality of the high-precision strip steel in China. Because of asymmetric influencing factors, the intermediate billet is easy to generate defects such as camber and the like in the hot rolling and rough rolling production process, and accidents such as roller tightening, clamping, belt breakage, tearing, steel piling and the like occur in the follow-up rolling.
In the hot continuous rolling process, many factors influence the generation of camber of the intermediate billet. Due to the influence of certain factors on site, such as temperature difference on two sides of the intermediate billet caused by uneven cooling, uneven thickness of the incoming material and different rigidity of the rolling mill on the operation side and the transmission side, the intermediate billet deviates from the rolling center line when being bitten into a roller. The generation of the asymmetric factors can change the stress balance of a roller system in the intermediate billet rolling process, so that the rollers are inclined, and the intermediate billet has a camber defect.
At present, an effective rough rolling intermediate billet camber quality evaluation function does not exist, and in the aspect of real-time monitoring, operators mainly rely on visual monitoring pictures and center line offset curves of intermediate billets to classify intermediate billet camber and control rough rolling intermediate billet camber according to experience. When detecting the camber by using a width gauge instrument on site, the camber quality judgment rule is generally characterized by adopting offset distance statistics of the central line of the intermediate billet and the central line of the roller way.
At present, the quality evaluation of the intermediate billet camber defect in the hot continuous rolling rough rolling production stage depends on subjective observation and experience judgment of on-site operators to a great extent, and the process has large analysis data size, and most of the process is repeated work each time, so that a great amount of human resource waste is caused.
Disclosure of Invention
In view of the above, the invention provides a method and a system for classifying, identifying and judging the quality of the camber of the intermediate blank, which can automatically judge the quality of the camber of the intermediate blank by using a classifying and identifying algorithm and an evaluating rule.
According to a first aspect of the invention, there is provided a method for classifying, identifying and judging the quality of a camber of an intermediate blank, comprising the steps of:
step S1: preprocessing the offset of the full-length central line of the intermediate blank;
step S1-a: collecting offset f= (f) of full-length central line of intermediate blank 1 ,f 2 ,f 3 …f n ) Corresponding toIs l= (l) 1 ,l 2 ,l 3 …l n ) The interval between two data points is Deltal, and the first derivative f' of the offset of the full length central line of the intermediate blank is = (f) 1 ',f 2 ',f 3 '…f n ')：
f i An ith data point that is the offset of the full length centerline of the intermediate blank;
step S1-b: calculating the second derivative f "= (f) of the offset of the full-length central line of the intermediate blank 1 ”,f 2 ”,f 3 ”…f n ”)：
f i ' is the first derivative of the ith data point of the offset of the full length centerline of the intermediate blank;
step S1-c: calculating the mean value of the second derivative of the offset of the full-length central line of the intermediate blank
And variance sigma:
step S1-d: removing abnormal data of the head and the tail of the intermediate blank, and sequentially judging whether the second derivative of the central line offset of the intermediate blank is larger than the second derivative of the central line offset of the intermediate blank from the center to the head and the tail
Or less than->
If the length of the intermediate blank is 0 m-5 m of the head and tail part, the data point and the data point after the data point are removed;
step S1-e: carrying out dimensionless normalization processing on the offset of the full-length center line of the intermediate blank and the length of the intermediate blank, wherein the normalized conversion function is as follows:
wherein f max Is the maximum value of the offset of the central line of the whole length of the intermediate blank, f min Is the minimum value of the offset of the full length central line of the intermediate blank, l i Length of the ith data point, l, for offset of full length centerline of intermediate blank max Maximum value of intermediate length l min Minimum value of intermediate blank length;
step S1-f: performing linear interpolation processing on the normalized central line offset data of the intermediate blank, wherein the number of data points after linear interpolation is N, and the value range of N is 150-200;
step S1-g: fitting the shape center line of the intermediate blank, and performing linear fitting on the center line offset of the middle flat area of the intermediate blank, namely the shape center line, wherein the function of the shape center line is as follows:
y＝kx+b；
wherein k is the slope of the shape centerline and b is the intercept of the shape centerline;
step S1-h: calculating the mean value of the central line offset of the middle flat area of the intermediate blank
Step S2: performing preliminary quality judgment on the offset of the full-length center line of the intermediate blank;
when the offset of the full-length central line of the intermediate blank is in the stable deviation control line range A, the intermediate blank is considered to have no camber defect, and the camber quality of the intermediate blank is judged to be excellent; when the central line offset of the intermediate blank exceeds the stable deviation control line range, the intermediate blank is considered to have a camber defect, and the next step of judgment is carried out, wherein the stable deviation control line range A is as follows:
wherein f max Is the maximum value of the offset of the central line of the whole length of the intermediate blank, f min The value is 5-10mm, and lambda is an excellent coefficient and is the minimum value of the offset of the full-length central line of the intermediate blank;
step S3: setting a standard template library function of intermediate blank camber;
the types of intermediate blank camber are 4 types, namely an L-shaped camber, a C-shaped camber, an S-shaped camber and a W-shaped camber, and the functions of establishing the intermediate blank camber standard template library are as follows:
standard template library function of L-shaped bend on head transmission side
F 1 (x)＝-9.33x 6 +27.29x 5 -24.71x 4 +0.63x 3 -11.21x 2 -6.09x+1
Standard template library function of L-shaped bend at tail transmission side
F 2 (x)＝-2.94x 6 +11.71x 5 -11.79x 4 +4.81x 3 -0.84x 2 +0.05x
Standard template library function of L-shaped bend on head operation side
F 3 (x)＝9.33x 6 -27.29x 5 +24.71x 4 -0.63x 3 +11.21x 2 +6.09x
Standard template library function of L-shaped bend at tail operation side
F 4 (x)＝2.94x 6 -11.71x 5 +11.79x 4 -4.81x 3 +0.84x 2 -0.05x+1
Standard template library function of C-shaped bend on transmission side
F 5 (x)＝9.07x 6 -29.12x 5 +33.01x 4 -15.18x 3 +5.96x 2 -3.73x
Standard template library function of C-shaped bend on operation side
F 6 (x)＝-9.07x 6 +29.12x 5 -33.01x 4 +15.18x 3 -5.96x 2 +3.73x+1
Standard template library function of S-shaped bend on transmission side
F 7 (x)＝-10.392x 3 +15.599x 2 -5.196x+0.5
Standard template library function of S-shaped bend on operation side
F 8 (x)＝10.392x 3 -15.599x 2 +5.196x+0.5
Standard template library function of W-shaped bend on transmission side
F 9 (x)＝-12.52x 6 +37.68x 5 +6.176x 4 -75.27x 3 +53.92x 2 -9.98x+0.55
Standard template library function of W-shaped bend on operation side
F 10 (x)＝-49.833x 4 +99.667x 3 -60.63x 2 +10.798x+0.415
Wherein, x is E [0,1], the number of data points of each standard template library function is M, and the value range of M is 150-200;
step S4: determining the type of the intermediate billet camber by adopting a classification and identification method;
step S4-a: calculating the distance y from the offset of the full-length central line of the intermediate blank to the central line of the shape R ＝{y R1 ,…,y Ri ,…,y RN Some function data y of intermediate blank camber standard template library S ＝{y S1 ,…,y Sj ,…,y SM European distance matrix:
in which y Ri Distance from the ith data point of offset data of full length center line of intermediate blank to center line of shape, y sj The jth data point of a function data of the intermediate blank camber standard template library;
step S4-b: calculating a Euclidean distance cumulative shortest path matrix D (i, j):
wherein D (1, 1) =d (1, 1), i=1, 2, …, N, j=1, 2, …, M;
step S4-c: determining the shortest distance between the offset of the full-length center line of the current intermediate blank and a function of a selected intermediate blank camber standard template library as D (N, M);
step S4-d: changing the function selected from the standard template library of the intermediate blank sickle, repeating the steps S4-a to S4-c, traversing all the template library functions, and obtaining the sickle type of the template library function corresponding to the minimum value of the shortest distance D (N, M) as the type of the current intermediate blank sickle;
step S5: calculating characteristic parameters of intermediate blanks of different types according to the types of the intermediate blank camber;
step S5-a: calculating an included angle alpha between the central line of the shape of the intermediate blank and the central line of the roller way;
step S5-b: calculating the ith characteristic point of the offset of the full-length central line of the intermediate blank
The distance from the center line of the shape is the camber R of the intermediate blank p The unit is mm, positive and negative can be used for representing the bending direction of the intermediate blank, positive value represents bending to the transmission side, and negative value represents bending to the operation side, wherein p=1, 2 and 3 correspond to the head part, the middle part and the tail part respectively;
step S5-c: calculating the camber degree d of the intermediate blank sickle p ：
Wherein R is p Is the camber of the intermediate blank, L p For corresponding R p Bending length at the position, wherein p=1, 2 and 3 respectively correspond to the head part, the middle part and the tail part;
step S6: judging the quality of the camber of the intermediate blank;
judging whether the intermediate blank camber characteristic parameter is within the range of the intermediate blank camber characteristic parameter threshold, if so, judging that the intermediate blank camber quality is qualified, otherwise, judging that the intermediate blank camber quality is unqualified.
According to a second aspect of the present invention, there is provided a system for classifying, identifying and judging the quality of a camber of an intermediate blank, comprising:
the offset acquisition and processing component is used for preprocessing the offset of the full-length central line of the intermediate blank and carrying out preliminary quality judgment on the offset of the full-length central line of the intermediate blank;
the function making part is used for making a standard template library function of the intermediate blank camber;
the cutter bending type determining component is used for determining the type of the intermediate billet camber by adopting a classification and identification method;
the characteristic parameter calculation component is used for calculating characteristic parameters of intermediate blanks of different types according to the types of intermediate blank camber;
and the quality judging part is used for judging the camber quality of the intermediate blank.
Compared with the prior art, the invention has the beneficial effects that:
1. accurate classification: compared with the Euclidean distance of a conventional curve, the method for calculating the dynamic distance can realize the classification of the bending types of the sickle at different bending positions, and is beneficial to improving the classification precision.
2. The labor intensity is reduced: the type of the intermediate billet camber can be automatically judged through a computer, the characteristic parameters of the intermediate billet camber are given, the working intensity of operators is reduced, the accurate evaluation of the intermediate billet camber quality is achieved, and the objectivity of product quality evaluation is improved;
2. the timeliness is good: the algorithm has small calculated amount and high robustness, can process and analyze online data in real time, evaluates the quality of the intermediate billet camber in real time, is favorable for finding out abnormal fluctuation of the camber quality in time, and improves the control level of the camber quality.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention;
FIG. 2 is the centerline offset after pretreatment in example A1;
FIG. 3 is the centerline offset after pretreatment in example A2.
Detailed Description
The method according to the invention will be explained further below with reference to the drawing and to specific examples, but the explanation does not constitute an undue setting of the technical solution of the invention.
Examples A1 to A2
Step S1: preprocessing the offset of the full-length central line of the intermediate blank;
step S1-a: collecting offset f= (f) of full-length central line of intermediate blank 1 ,f 2 ,f 3 …f n ) The corresponding intermediate billet length is l= (l) 1 ,l 2 ,l 3 …l n ) The interval between two data points is Deltal, and the first derivative f' of the offset of the full length central line of the intermediate blank is = (f) 1 ',f 2 ',f 3 '…f n ')：
f i An ith data point that is the offset of the full length centerline of the intermediate blank;
step S1-b: calculating the second derivative f "= (f) of the offset of the full-length central line of the intermediate blank 1 ”,f 2 ”,f 3 ”…f n ”)：
f i ' is the first derivative of the ith data point of the offset of the full length centerline of the intermediate blank;
step S1-c: calculating the mean value of the second derivative of the offset of the full-length central line of the intermediate blank
And variance sigma:
step S1-d: removing abnormal data of the head and the tail of the intermediate blank, and sequentially judging whether the second derivative of the central line offset of the intermediate blank is larger than the second derivative of the central line offset of the intermediate blank from the center to the head and the tail
Or less than->
If the length of the intermediate blank is 0 m-5 m of the head and tail part, the data point and the data point after the data point are removed;
step S1-e: carrying out dimensionless normalization processing on the offset of the full-length center line of the intermediate blank and the length of the intermediate blank, wherein the normalized conversion function is as follows:
wherein f max Is the maximum value of the offset of the central line of the whole length of the intermediate blank, f min Is the minimum value of the offset of the full length central line of the intermediate blank, l i Length of the ith data point, l, for offset of full length centerline of intermediate blank max Maximum value of intermediate length l min Minimum value of intermediate blank length;
step S1-f: performing linear interpolation processing on the normalized central line offset data of the intermediate blank, wherein the number of data points after linear interpolation is N, and the value range of N is 150-200;
step S1-g: and (3) fitting the central line of the shape of the intermediate blank, and performing linear fitting on the central line offset of the central flat area of the intermediate blank, namely the central line of the shape.
The function of the shape centerline is:
y＝kx+b；
wherein k is the slope of the shape centerline and b is the intercept of the shape centerline;
step S1-h: calculating the mean value of the central line offset of the middle flat area of the intermediate blank
In embodiments A1 and A2, n=180, the shape center line y= -5.91x+13.77 corresponding to embodiment A1 is shown in fig. 2, and the shape center line y= -15.56x+23.29 corresponding to embodiment A2 is shown in fig. 3;
step S2: performing preliminary quality judgment on the offset of the full-length center line of the intermediate blank;
when the offset of the full-length central line of the intermediate blank is in the stable deviation control line range A, the intermediate blank is considered to have no camber defect, and the camber quality of the intermediate blank is judged to be excellent; when the central line offset of the intermediate blank exceeds the stable deviation control line range, the intermediate blank is considered to have a camber defect, and the next step of judgment is carried out, wherein the stable deviation control line range A is as follows:
wherein f max Is the maximum value of the offset of the central line of the whole length of the intermediate blank, f min The value is 5-10mm, and lambda is an excellent coefficient and is the minimum value of the offset of the full-length central line of the intermediate blank;
in the embodiments A1 and A2, lambda is 5mm, the central line offset of the intermediate blank exceeds the range of the stable deviation control line, and the intermediate blank is considered to have a camber defect;
step S3: setting a standard template library function of intermediate blank camber;
the types of intermediate blank camber are 4 types, namely an L-shaped camber, a C-shaped camber, an S-shaped camber and a W-shaped camber, and the functions of establishing the intermediate blank camber standard template library are as follows:
standard template library function of L-shaped bend on head transmission side
F 1 (x)＝-9.33x 6 +27.29x 5 -24.71x 4 +0.63x 3 -11.21x 2 -6.09x+1
Standard template library function of L-shaped bend at tail transmission side
F 2 (x)＝-2.94x 6 +11.71x 5 -11.79x 4 +4.81x 3 -0.84x 2 +0.05x
Standard template library function of L-shaped bend on head operation side
F 3 (x)＝9.33x 6 -27.29x 5 +24.71x 4 -0.63x 3 +11.21x 2 +6.09x
Standard template library function of L-shaped bend at tail operation side
F 4 (x)＝2.94x 6 -11.71x 5 +11.79x 4 -4.81x 3 +0.84x 2 -0.05x+1
Standard template library function of C-shaped bend on transmission side
F 5 (x)＝9.07x 6 -29.12x 5 +33.01x 4 -15.18x 3 +5.96x 2 -3.73x
Standard template library function of C-shaped bend on operation side
F 6 (x)＝-9.07x 6 +29.12x 5 -33.01x 4 +15.18x 3 -5.96x 2 +3.73x+1
Standard template library function of S-shaped bend on transmission side
F 7 (x)＝-10.392x 3 +15.599x 2 -5.196x+0.5
Standard template library function of S-shaped bend on operation side
F 8 (x)＝10.392x 3 -15.599x 2 +5.196x+0.5
Standard template library function of W-shaped bend on transmission side
F 9 (x)＝-12.52x 6 +37.68x 5 +6.176x 4 -75.27x 3 +53.92x 2 -9.98x+0.55
Standard template library function of W-shaped bend on operation side
F 10 (x)＝-49.833x 4 +99.667x 3 -60.63x 2 +10.798x+0.415
Wherein, x is E [0,1], the number of data points of each standard template library function is M, and the value range of M is 150-200;
step S4: determining the type of the intermediate billet camber by adopting a classification and identification algorithm;
step S4-a: calculating the distance y from the offset of the full-length central line of the intermediate blank to the central line of the shape R ＝{y R1 ,…,y Ri ,…,y RN Some function data y of intermediate blank camber standard template library S ＝{y S1 ,…,y Sj ,…,y SM European distance matrix:
in which y Ri Distance from the ith data point of offset data of full length center line of intermediate blank to center line of shape, y Sj The jth data point of a function data of the intermediate blank camber standard template library;
step S4-b: calculating a Euclidean distance cumulative shortest path matrix D (i, j):
wherein D (1, 1) =d (1, 1), i=1, 2, …, N, j=1, 2, …, M;
step S4-c: determining the shortest distance between the offset of the full-length center line of the current intermediate blank and a function of a selected intermediate blank camber standard template library as D (N, M);
step S4-d: changing the function selected from the standard template library of the intermediate blank sickle, repeating the steps S4-a to S4-c, traversing all the template library functions, and obtaining the sickle type of the template library function corresponding to the minimum value of the shortest distance D (N, M) as the type of the current intermediate blank sickle;
in the embodiments A1 and A2, the shortest distance of the template library functions is shown in table 1, and the minimum value of the shortest distance of the embodiment A1 is 11.73841 corresponding to the template library function 5, and is determined as a transmission side "C" type curve; the minimum value of the shortest distance of the embodiment A2 is 6.249563, which corresponds to the template library function 1, and is judged to be an L-shaped bend at the head transmission side;
table 1 embodiment shortest distance to template library function
| Template library function type | Example A1 | Example A2 |
| |
22.27598 | 6.249563 |
| Template library function 2 | 128.3065 | 145.4385 |
| Template library function 3 | 38.01122 | 35.65699 |
| Template library function 4 | 101.2335 | 109.8608 |
| Template library function 5 | 11.73841 | 33.20134 |
| Template library function 6 | 102.8169 | 105.8924 |
| Template library function 7 | 69.90623 | 83.45638 |
| Template library function 8 | 46.5733 | 52.39383 |
| Template library function 9 | 80.98532 | 75.15616 |
| Template library function 10 | 37.80928 | 62.81251 |
Step S5: calculating characteristic parameters of intermediate blanks of different types according to the types of the intermediate blank camber;
step S5-a: calculating an included angle alpha between the central line of the shape of the intermediate blank and the central line of the roller way;
step S5-b: calculating the ith characteristic point of the offset of the full-length central line of the intermediate blank
The distance from the center line of the shape is the camber R of the intermediate blank p The unit is mm, positive and negative can be used for representing the bending direction of the intermediate blank, positive value represents bending to the transmission side, and negative value represents bending to the operation side, wherein p=1, 2 and 3 correspond to the head part, the middle part and the tail part respectively;
step S5-c: calculating the camber degree d of the intermediate blank sickle p ：
Wherein R is p Is the camber of the intermediate blank, L p For corresponding R p Where p=1, 2,3 corresponds to the head, middle, tail, respectively.
In examples A1 and A2, the intermediate billet characteristic parameter calculation results are shown in table 2;
table 2 example intermediate blank characteristic parameter calculation results
| Intermediate blank characteristic parameters | Example A1 | Example A2 |
| α | -0.00011 | -0.00031 |
| R 1 | -26.891 | -21.1063 |
| R 2 | - | - |
| R 3 | -12.385 | - |
| d 1 | -0.00115 | -0.00097 |
| d 2 | - | - |
| d 3 | -0.00053 | - |
Step S6: judging the quality of the camber of the intermediate blank;
judging whether the intermediate blank camber characteristic parameters are in the range of the intermediate blank camber characteristic parameter threshold values, if so, judging that the intermediate blank camber quality is qualified, otherwise, judging that the intermediate blank camber quality is unqualified;
in the examples A1 and A2, the positive and negative thresholds of the characteristic parameters are shown in table 3 and table 4, and the intermediate blank camber characteristic parameters in the examples A1 and A2 are within the range of the intermediate blank camber characteristic parameter threshold, and are judged to be qualified.
TABLE 3 intermediate billet camber characteristic Positive threshold
| Type of camber | α | R 1 | R 2 | R 3 | d 1 | d 2 | d 3 |
| L-shaped sickle bend | 0.003 | 30 | 0 | 0 | 0.009 | 0 | 0 |
| C-shaped sickle bend | 0.003 | 30 | -30 | 0 | 0.009 | 0.009 | 0 |
| S-shaped sickle bend | 0.003 | 30 | -30 | 0 | 0.009 | 0.009 | 0 |
| W-shaped sickle bend | 0.003 | 30 | -30 | 30 | 0.006 | 0.003 | 0.006 |
TABLE 4 intermediate billet camber characteristic negative threshold
| Type of camber | α | R 1 | R 2 | R 3 | d 1 | d 2 | d 3 |
| L-shaped sickle bend | -0.003 | -30 | 0 | 0 | -0.009 | 0 | 0 |
| C-shaped sickle bend | -0.003 | -30 | 30 | 0 | -0.009 | -0.009 | 0 |
| S-shaped sickle bend | -0.003 | -30 | 30 | 0 | -0.009 | -0.009 | 0 |
| W-shaped sickle bend | -0.003 | -30 | 30 | -30 | -0.006 | -0.003 | -0.006 |
The embodiments A1 and A2 have good effect in practical application, can accurately judge the bending type of the camber of the intermediate blank, and evaluate the quality of the camber.
While the foregoing is directed to embodiments of the present invention, other and further details of the invention may be had by the present invention, it should be understood that the foregoing description is merely illustrative of the present invention and that no changes, substitutions, or alterations herein may be made without departing from the spirit and principles of the invention.
Claims (5)
1. The intermediate blank camber classification recognition and quality judgment method is characterized by comprising the following steps of:
step S1: preprocessing the offset of the full-length central line of the intermediate blank;
step S2: performing preliminary quality judgment on the offset of the full-length center line of the intermediate blank;
step S3: setting a standard template library function of intermediate blank camber;
step S4: determining the type of the intermediate billet camber by adopting a classification and identification method;
step S5: calculating characteristic parameters of intermediate blanks of different types according to the types of the intermediate blank camber;
step S6: the quality judgment of the camber of the intermediate blank is carried out,
the pretreatment of the offset of the full-length central line of the intermediate blank in the step S1 comprises the following steps:
step S1-a: collecting offset f= (f) of full-length central line of intermediate blank 1 ,f 2 ,f 3 …f n ) The corresponding intermediate billet length is l= (l) 1 ,l 2 ,l 3 …l n ) The interval between two data points is Deltal, and the first derivative f' of the offset of the full length central line of the intermediate blank is = (f) 1 ',f 2 ',f 3 '…f’ n )：
f i An ith data point that is the offset of the full length centerline of the intermediate blank;
step S1-b: calculating the second derivative f "= (f) of the offset of the full-length central line of the intermediate blank 1 ”,f 2 ”,f 3 ”…f” n )：
f i ' is the first derivative of the ith data point of the offset of the full length centerline of the intermediate blank;
step S1-c: calculating the mean value of the second derivative of the offset of the full-length central line of the intermediate blank
And variance sigma:
step S1-d: for a pair ofThe head and tail abnormal data of the intermediate blank are removed, and whether the second derivative of the central line offset of the intermediate blank is larger than the second derivative of the central line offset of the intermediate blank is judged from the center to the head and tail ends in sequence
Or less than->
If the length of the intermediate blank is 0 m-5 m of the head and tail part, the data point and the data point after the data point are removed;
step S1-e: carrying out dimensionless normalization processing on the offset of the full-length center line of the intermediate blank and the length of the intermediate blank, wherein the normalized conversion function is as follows:
wherein f max Is the maximum value of the offset of the central line of the whole length of the intermediate blank, f min Is the minimum value of the offset of the full length central line of the intermediate blank, l i Length of the ith data point, l, for offset of full length centerline of intermediate blank max Maximum value of intermediate length l min Minimum value of intermediate blank length;
step S1-f: performing linear interpolation processing on the normalized central line offset data of the intermediate blank, wherein the number of data points after linear interpolation is N, and the value range of N is 150-200;
step S1-g: fitting the shape center line of the intermediate blank, and performing linear fitting on the center line offset of the middle flat area of the intermediate blank, namely the shape center line, wherein the function of the shape center line is as follows:
y＝kx+b；
wherein k is the slope of the shape centerline and b is the intercept of the shape centerline;
step S1-h: calculating the mean value of the central line offset of the middle flat area of the intermediate blank
The method for performing preliminary quality judgment on the offset of the full-length center line of the intermediate blank in the step S2 comprises the following steps:
when the offset of the full-length central line of the intermediate blank is in the stable deviation control line range A, the intermediate blank is considered to have no camber defect, and the camber quality of the intermediate blank is judged to be excellent; when the central line offset of the intermediate blank exceeds the stable deviation control line range, the intermediate blank is considered to have a camber defect, and the next step of judgment is carried out, wherein the stable deviation control line range A is as follows:
wherein f max Is the maximum value of the offset of the central line of the whole length of the intermediate blank, f min Is the minimum value of the offset of the central line of the whole length of the intermediate blank, lambda is an excellent coefficient, the value range is 5-10mm,
the classification and identification algorithm in the step S4 includes the following steps:
step S4-a: calculating the distance y from the offset of the full-length central line of the intermediate blank to the central line of the shape R ＝{y R1 ,…,y Ri ,…,y RN Some function data y of intermediate blank camber standard template library S ＝{y S1 ,…,y Sj ,…,y SM European distance matrix:
in which y Ri Distance from the ith data point of offset data of full length center line of intermediate blank to center line of shape, y Sj For some function data of intermediate blank camber standard template libraryThe jth data point;
step S4-b: calculating a Euclidean distance cumulative shortest path matrix D (i, j):
wherein D (1, 1) =d (1, 1), i=1, 2, …, N, j=1, 2, …, M;
step S4-c: determining the shortest distance between the offset of the full-length center line of the current intermediate blank and a function of a selected intermediate blank camber standard template library as D (N, M);
step S4-d: and (3) replacing the function selected from the intermediate blank camber standard template library, repeating the steps S4-a to S4-c, traversing all the template library functions, and obtaining the camber type of the template library function corresponding to the minimum value of the shortest distance D (N, M) as the type of the current intermediate blank camber.
2. The intermediate billet camber classification recognition and quality determination method according to claim 1, wherein the intermediate billet camber standard template library function formulated in the step S3 is:
the types of intermediate blank camber are 4 types, namely an L-shaped camber, a C-shaped camber, an S-shaped camber and a W-shaped camber, and the functions of establishing the intermediate blank camber standard template library are as follows:
standard template library function of L-shaped bend on head transmission side
F 1 (x)＝-9.33x 6 +27.29x 5 -24.71x 4 +0.63x 3 -11.21x 2 -6.09x+1
Standard template library function of L-shaped bend at tail transmission side
F 2 (x)＝-2.94x 6 +11.71x 5 -11.79x 4 +4.81x 3 -0.84x 2 +0.05x
Standard template library function of L-shaped bend on head operation side
F 3 (x)＝9.33x 6 -27.29x 5 +24.71x 4 -0.63x 3 +11.21x 2 +6.09x
Standard template library function of L-shaped bend at tail operation side
F 4 (x)＝2.94x 6 -11.71x 5 +11.79x 4 -4.81x 3 +0.84x 2 -0.05x+1
Standard template library function of C-shaped bend on transmission side
F 5 (x)＝9.07x 6 -29.12x 5 +33.01x 4 -15.18x 3 +5.96x 2 -3.73x
Standard template library function of C-shaped bend on operation side
F 6 (x)＝-9.07x 6 +29.12x 5 -33.01x 4 +15.18x 3 -5.96x 2 +3.73x+1
Standard template library function of S-shaped bend on transmission side
F 7 (x)＝-10.392x 3 +15.599x 2 -5.196x+0.5
Standard template library function of S-shaped bend on operation side
F 8 (x)＝10.392x 3 -15.599x 2 +5.196x+0.5
Standard template library function of W-shaped bend on transmission side
F 9 (x)＝-12.52x 6 +37.68x 5 +6.176x 4 -75.27x 3 +53.92x 2 -9.98x+0.55
Standard template library function of W-shaped bend on operation side
F 10 (x)＝-49.833x 4 +99.667x 3 -60.63x 2 +10.798x+0.415
Wherein, x is E [0,1], the number of data points of each standard template library function is M, and the range of M is 150-200.
3. The method for classifying, identifying and judging the quality of the sickle-shaped intermediate blanks according to claim 1, wherein the step S5 of calculating the characteristic parameters of the intermediate blanks of different types comprises the steps of:
step S5-a: calculating the included angle between the central line of the intermediate blank shape and the central line of the roller way α ；
Step S5-b: calculating the ith characteristic point of the offset of the full-length central line of the intermediate blank
The distance from the center line of the shape is the camber R of the intermediate blank p The unit is mm, positive and negative values of the mm are used for representing the bending direction of the intermediate blank, positive values of the mm are bent to the transmission side, negative values of the mm are bent to the operation side, and p=1, 2 and 3 correspond to the head part, the middle part and the tail part respectively;
step S5-c: calculating the camber degree d of the intermediate blank sickle p ：
Wherein R is p Is the camber of the intermediate blank, L p For corresponding R p Where p=1, 2,3 corresponds to the head, middle, tail, respectively.
4. The method for classifying, identifying and judging the quality of the intermediate billet camber according to claim 1, wherein the method for judging the quality of the intermediate billet camber in the step S6 is as follows:
judging whether the intermediate blank camber characteristic parameter is within the range of the intermediate blank camber characteristic parameter threshold, if so, judging that the intermediate blank camber quality is qualified, otherwise, judging that the intermediate blank camber quality is unqualified.
5. Intermediate billet camber classification recognition and quality determination system, characterized in that it operates on the basis of the intermediate billet camber classification recognition and quality determination method according to any one of claims 1 to 4,
the intermediate billet camber classification recognition and quality judgment system comprises the following components:
the offset acquisition and processing component is used for preprocessing the offset of the full-length central line of the intermediate blank and carrying out preliminary quality judgment on the offset of the full-length central line of the intermediate blank;
the function making part is used for making a standard template library function of the intermediate blank camber;
the cutter bending type determining component is used for determining the type of the intermediate billet camber by adopting a classification and identification method;
the characteristic parameter calculation component is used for calculating characteristic parameters of intermediate blanks of different types according to the types of intermediate blank camber;
and the quality judging part is used for judging the camber quality of the intermediate blank.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010259577.XA CN111488922B (en) | 2020-04-03 | 2020-04-03 | Intermediate blank camber classification identification and quality judgment method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010259577.XA CN111488922B (en) | 2020-04-03 | 2020-04-03 | Intermediate blank camber classification identification and quality judgment method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111488922A CN111488922A (en) | 2020-08-04 |
| CN111488922B true CN111488922B (en) | 2023-06-02 |
Family
ID=71794576
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010259577.XA Active CN111488922B (en) | 2020-04-03 | 2020-04-03 | Intermediate blank camber classification identification and quality judgment method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111488922B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2113927C1 (en) * | 1997-07-09 | 1998-06-27 | Открытое акционерное общество "Магнитогорский металлургический комбинат" | High-rigidity bar manufacture method |
| CN102441576A (en) * | 2011-09-13 | 2012-05-09 | 江苏省沙钢钢铁研究院有限公司 | Automatic control method for camber and wedge of rough rolling intermediate billet of hot rolled strip steel |
| CN104162549A (en) * | 2014-06-16 | 2014-11-26 | 北京首钢股份有限公司 | Automatic control method and system for edge camber of intermediate billet of hot continuous rolling rough mill |
-
2020
- 2020-04-03 CN CN202010259577.XA patent/CN111488922B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2113927C1 (en) * | 1997-07-09 | 1998-06-27 | Открытое акционерное общество "Магнитогорский металлургический комбинат" | High-rigidity bar manufacture method |
| CN102441576A (en) * | 2011-09-13 | 2012-05-09 | 江苏省沙钢钢铁研究院有限公司 | Automatic control method for camber and wedge of rough rolling intermediate billet of hot rolled strip steel |
| CN104162549A (en) * | 2014-06-16 | 2014-11-26 | 北京首钢股份有限公司 | Automatic control method and system for edge camber of intermediate billet of hot continuous rolling rough mill |
Non-Patent Citations (1)
| Title |
|---|
| 热连轧中间带坯镰刀弯检测判定分析***开发;刘勇等;《金属材料与冶金工程》;20200228(第01期);44-49页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111488922A (en) | 2020-08-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109115800B (en) | Method for rapidly detecting burrs of product and accurately measuring length | |
| CN104751288A (en) | Segment-based multi-dimensional online quality evaluation system and method for steel coils | |
| CN107179749A (en) | Hot dip zinc product whole process method of quality control | |
| CN114354639A (en) | Weld defect real-time detection method and system based on 3D point cloud | |
| CN115047162A (en) | Defect detection method and system for steel pipe heat treatment | |
| CN114749493B (en) | Self-adaptive adjustment method and system for production parameters of cold-rolled strip steel | |
| CN113112470A (en) | Cold rolling process steel bending detection and analysis method based on artificial intelligence | |
| CN110653271B (en) | Automatic grading device and grading method for roll surface quality of hot-rolled strip steel coiling pinch roll | |
| CN111402236A (en) | Hot-rolled strip steel surface defect grading method based on image gray value | |
| CN110287456A (en) | Large coil rolling surface defect analysis method based on data mining | |
| CN108393744B (en) | Multi-sensing monitoring method for cutter state | |
| CN105302123A (en) | Online data monitoring method | |
| CN111488922B (en) | Intermediate blank camber classification identification and quality judgment method and system | |
| CN109877650B (en) | Method for predicting service life of bar shearing tool | |
| CN114896735A (en) | Partial least square improved hot-rolled strip steel head wave defect reason identification method | |
| CN114565314A (en) | Hot rolled steel coil end face quality control system and method based on digital twinning | |
| CN116307938B (en) | Health state assessment method for feeding system of machining center | |
| CN117314187A (en) | Performance evaluation method and system for seamless steel tube | |
| CN109622926B (en) | Ingot block edge detection method for ingot casting process | |
| CN112683166A (en) | Die-cutting product size detection method | |
| CN111338289A (en) | Machine tool precision analysis method and device, precision detector and machine tool machining method | |
| CN114880814B (en) | Roller remanufacturing auxiliary optimization method based on big data | |
| CN115106384B (en) | Thick plate rolling roll gap correction method based on random forest | |
| CN112246880B (en) | Twenty-high rolling mill strip shape optimization control method based on feedforward-middle shifting compensation | |
| CN110866221B (en) | Detection method for threshing and redrying data accuracy |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |