CN113804702A - Copper wire arrangement detection method based on visual intelligent analysis - Google Patents
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- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 title claims abstract description 95
- 238000001514 detection method Methods 0.000 title claims abstract description 43
- 230000000007 visual effect Effects 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 16
- 238000006073 displacement reaction Methods 0.000 claims description 17
- 229910052802 copper Inorganic materials 0.000 claims description 11
- 239000010949 copper Substances 0.000 claims description 11
- 238000004804 winding Methods 0.000 claims description 11
- 238000001914 filtration Methods 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 4
- 150000001875 compounds Chemical class 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 15
- 238000003384 imaging method Methods 0.000 abstract description 4
- 230000002159 abnormal effect Effects 0.000 abstract description 3
- 238000005491 wire drawing Methods 0.000 description 6
- 238000007689 inspection Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
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Abstract
The invention discloses a copper wire arranging wire detection method based on visual intelligent analysis, which comprises the following steps: acquiring a copper wire arranging image to be detected under a blue auxiliary light source, and performing wire diameter detection on the copper wire arranging image to be detected based on a preset detection model; judging whether the wire diameter of the current copper wire exceeds a preset wire diameter threshold value or not based on the obtained wire diameter detection result; and if the wire diameter of the current copper wire exceeds a preset wire diameter threshold value, sending alarm information. When the intelligent production line is used, copper wire information of the production line drawing process is collected by utilizing the high-speed camera and the laser camera, algorithm analysis is carried out according to the visual imaging system and the image recognition system, the quality of the production line drawing copper wire can be monitored in real time, the states of production line finished products and the technological process can be displayed for a platform administrator in real time through platform information collection, an alarm notice is sent out when the products are abnormal, and workers are informed to maintain the quality.
Description
Technical Field
The invention belongs to the technical field of machine vision analysis, and particularly relates to a copper wire arrangement detection method based on visual intelligent analysis.
Background
At present, the quality of copper wires in factories is supervised mainly by manual inspection, when the coil wires are found to be unevenly distributed and have different thicknesses, the finished coil wires are judged to be defective products, and the coiled copper wires are abandoned and returned to the furnace; with the upgrading and transformation of the current industrial industry, the requirement on the quality is continuously improved, and the manpower inspection and detection cannot meet the high-level requirement on the quality, and simultaneously occupies precious manpower resources, thereby not only influencing the production efficiency of enterprises, but also increasing the production cost of the enterprises; meanwhile, the following defects also exist in manual detection:
firstly, the feedback is not timely, the equipment state cannot be concerned in real time, and the production line quality cannot be processed timely when changed.
Secondly, detect inaccurate, only look over through the manual work and patrol and examine whether qualified to produce the copper coil quality on the line, when personnel's subjective judgement mistake, the finished product will leave the factory to the supply chain link along with goods, and the goods that the quality is not good will be returned in batches, very big influence cost of enterprise and reputation.
Third, experience and quality inspection information cannot be gathered, a detection log is not formed in manual quality detection, the yield of the product is not understood in a macroscopic trend, and a method and a cut-in point are not available for analyzing problem symptoms.
Disclosure of Invention
The invention provides a copper wire arrangement detection method based on visual intelligent analysis, which is used for solving at least one of the technical problems.
The invention provides a copper wire arranging wire detection method based on visual intelligent analysis, which comprises the following steps: acquiring a copper wire arranging image to be detected under a blue auxiliary light source, and carrying out wire diameter detection on the copper wire arranging image to be detected based on a preset detection model, wherein the wire diameter detection comprises the following steps: step a, performing spatial filtering processing on the to-be-detected copper wire arranging image to obtain a processed to-be-detected copper wire arranging image; step b, setting a discrete convolution form of norm of two areas of the copper wire spacing with the distance of t, wherein the expression of the discrete convolution is as follows:
In some embodiments of the invention, wherein the expression for calculating the displacement value is:
in the formula, stFor the displacement value, v (x) is the selected discrete point, and v (x + t) is the selected discrete point moved by the distance t.
In some embodiments of the invention, the method further comprises: the method comprises the steps of obtaining a copper wire winding displacement image to be detected under a blue auxiliary light source, and carrying out uniform winding displacement detection on the copper wire winding displacement image to be detected based on a preset detection model.
In some embodiments of the present invention, the performing, based on a preset detection model, uniform wire arrangement detection on the to-be-detected copper wire arrangement image includes: step 1, carrying out spatial filtering processing on the copper wire arranging image to be detected to obtain a processed copper wire arranging image to be detected; step 2, acquiring any point A (x1, y1) and any point A (x1, y1) to a certain point on a certain straight lineObtaining respective straight line equations by using perpendicular points B (x2, y2) of straight lines adjacent to each other; step 3, obtaining a perpendicular bisector equation between an arbitrary point A (x1, y1) and a perpendicular point B (x2, y2), wherein the perpendicular bisector equation is as follows: y ═ x2-x1)/(y2-y1) x + (x2-x1)/(y2-y1) — (x1+ x2)/2+ (y1+ y 2)/2; step 4, obtaining the distance between the copper wires of the copper wire coil based on an Euclidean distance formula, and determining whether the distribution of the copper wires of the copper wire coil is uniform or not by comparing the calibrated copper wire distance values, wherein the Euclidean distance formula is as follows:
where ρ is a point (x)2，y2) And point (x)1，y1) The Euclidean distance therebetween, | X | is a point (X)2，y2) Euclidean distance to the origin.
In some embodiments of the present invention, wherein the expression of the linear equation is:
(y-y1)/(x-x1) ═ y2-y1)/(x2-x 1; and k is (y2-y1)/(x2-x1), wherein y is an ordinate, x is an abscissa, and k is a slope of a straight line.
When the copper wire arranging wire detection method based on visual intelligent analysis is used, copper wire information of a wire drawing process of a production line is collected by using a high-speed camera and a laser camera, algorithm analysis is carried out according to a visual imaging system and an image recognition system, the quality of the wire drawing copper wire of the production line can be monitored in real time, the state of finished products and the state of a process of the production line can be displayed to a platform manager in real time through platform information collection, an alarm notice is sent out when the products are abnormal, and workers are informed of quality maintenance.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of copper wire diameter detection according to an embodiment of the present invention;
FIG. 2 is a front and back view of noise filtering according to an embodiment of the present invention;
fig. 3 is a binarized image obtained by adaptive threshold segmentation according to an embodiment of the present invention;
FIG. 4 is a line fit graph of an embodiment of the present invention;
fig. 5 is a flowchart of the uniform detection of the winding of the copper wire according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The application provides a copper wire winding displacement detection method based on visual intelligent analysis, which comprises the following steps: acquiring a to-be-detected copper wire arranging image under a blue auxiliary light source, and performing wire diameter detection on the to-be-detected copper wire arranging image based on a preset detection model, wherein the wire diameter detection comprises the following steps of:
step a, performing spatial filtering processing on the to-be-detected copper wire arranging image to obtain a processed to-be-detected copper wire arranging image (as shown in fig. 2);
step b, setting a discrete convolution form of norm of two areas of the copper wire spacing with the distance of t, wherein the expression of the discrete convolution is as follows:
where v (x) is a discrete sequence point, v (x + t) is a distance to move the discrete sequence by t, k (z) is a mirror sequence point, v (x + z) is a distance to move the discrete sequence by z, v (x + t + z) is a distance to move the discrete sequence by t + z,
for discrete values in a discrete sequence, stAs displacement values, convolution multiplication operators; and solving according to Fourier transform, and performing two-dimensional fast transform to obtain:
wherein F is a Fourier series,
is composed of
Fourier series function of points, F(s)t) Is Fourier stA series function of (a);
and c, self-adaptive threshold segmentation to obtain a binary image (as shown in fig. 3), segmenting the copper wire target and the background, and acquiring an inter-class threshold according to an algorithm formula, wherein the algorithm formula is as follows: g-omegaoω1(u0-u1) Lambda 2, where g is the threshold between classes, omegao、ω1All are sine function values, u0、u1Are all expected values;
step d, fitting the straight line to obtain the pixel coordinates of the straight line in the image (as shown in figure 4), calculating the pixel distance of the copper wire,
where den is interpolation, λ is undetermined coefficient, Dxx and Dyy are the product of mean difference between x coordinates and the product of mean difference between y coordinates, and DxyThe product value of the straight line average value difference between the point coordinates is obtained;
step e, calibrating and calculating to obtain a physical wire diameter value of the copper wire, wherein the expression for calculating the physical wire diameter value of the copper wire is as follows:
in the formula (I), the compound is shown in the specification,
in order to be a calibrated value,
m and n are respectively limit values of discrete points at two ends of the straight line for fitting the standard difference value; judging whether the wire diameter of the current copper wire exceeds a preset wire diameter threshold value or not based on the obtained wire diameter detection result; and if the wire diameter of the current copper wire exceeds a preset wire diameter threshold value, sending alarm information.
According to the method, the copper wire information of the production line wire drawing process is collected by the high-speed camera and the laser camera, algorithm analysis is carried out according to the visual imaging system and the image recognition system, the quality of the production line wire drawing copper wire can be monitored in real time, the states of a production line finished product and a process can be displayed to a platform administrator in real time through platform information collection, and an alarm notice is sent out when the product is abnormal to inform workers of quality maintenance.
In some optional embodiments, the copper wire arranging image to be detected is acquired under a blue auxiliary light source, and the copper wire arranging image to be detected is subjected to arranging wire uniform detection based on a preset detection model.
As shown in fig. 5, the step of uniformly detecting the arranged wire of the copper wire arranged wire image to be detected based on a preset detection model comprises the following steps: step 1, after an image recognition system acquires a high-quality copper wire image, preprocessing the image, removing image noise points, and segmenting a copper wire and a background on a wire spool, wherein a denoising algorithm is the same as that in the step a;
step 2, a laser camera obtains distance information of arrangement of copper wires on the wire spool, whether the copper wires are evenly arranged is judged according to the distance information, and a distance algorithm is used for respectively obtaining discrete sampling points on 2 adjacent straight lines;
step 3, fitting the straight lines in step d, taking any point A (x1, y1) of adjacent straight lines on one straight line, then taking a perpendicular line from the other straight line to obtain a second point B (x2, y2), and obtaining respective straight line equations:
(y-y1)/(x-x1)＝(y2-y1)/(x2-x1)；k＝(y2-y1)/(x2-x1)，
wherein y is a ordinate, x is an abscissa, and k is a slope of a straight line.
According to the theorem of vertical lines: the slope of the perpendicular bisector is:
-1/k＝-1/[(y2-y1)/(y2-y1)]＝-(x2-x1)/(y2-y1)；
midpoint C (x3, y3) through AB;
x3＝(x1+x2)/2，y3＝(y1+y2)/2；
step 4, solving a perpendicular bisector equation between the two points, and setting the perpendicular bisector equation as follows:
y＝[-(x2-x1)/(y2-y1)]x+b；
substitution of x3 and y3:
(y1+y2)/2＝-(x2-x1)/(y2-y1)*(x1+x2)/2+b；
b＝(x2-x1)/(y2-y1)*(x1+x2)/2+(y1-y2)/2；
obtaining a perpendicular bisector equation:
y＝-(x2-x1)/(y2-y1)x+(x2-x1)/(y2-y1)*(x1+x2)/2+(y1+y2)/2；
from the vertical equation, the intersection B (x2, y2) of the vertical line and the second line can be found.
And 5, obtaining the distance between the copper wires of the copper wire coil according to an Euclidean distance formula, and determining whether the distribution of the copper wires of the copper wire coil is uniform and the quality of the copper wire coil is qualified or not by comparing the calibrated copper wire distance values.
Euclidean distance formula:
where ρ is a point (x)2，y2) And point (x)1，y1) The Euclidean distance therebetween, | X | is a point (X)2，y2) Euclidean distance to the origin.
The distance from the current point to the other straight line can be obtained:
dist＝sqrt((x1-x2)^2+(y1-y2)^2)。
according to the method, the copper wire information of the production line wire drawing process is collected by the high-speed camera and the laser camera, algorithm analysis is carried out according to the visual imaging system and the image recognition system, and the quality of the production line wire drawing copper wire arrangement can be monitored in real time.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (5)
1. A copper wire arranging wire detection method based on visual intelligent analysis is characterized by comprising the following steps:
acquiring a copper wire arranging image to be detected under a blue auxiliary light source, and carrying out wire diameter detection on the copper wire arranging image to be detected based on a preset detection model, wherein the wire diameter detection comprises the following steps:
step a, performing spatial filtering processing on the to-be-detected copper wire arranging image to obtain a processed to-be-detected copper wire arranging image;
step b, setting a discrete convolution form of norm of two areas of the copper wire spacing with the distance of t, wherein the expression of the discrete convolution is as follows:
where v (x) is a discrete sequence point, v (x + t) is a distance to move the discrete sequence by t, k (z) is a mirror sequence point, v (x + z) is a distance to move the discrete sequence by z, v (x + t + z) is a distance to move the discrete sequence by t + z,
being discrete values in a discrete sequence, StAs displacement values, as convolution multiplication operators；
And solving according to Fourier transform, and performing two-dimensional fast transform to obtain:
wherein F is a Fourier series,
is composed of
Fourier series function of points, F(s)t) Is Fourier stA series function of (a);
and c, self-adaptive threshold segmentation to obtain a binary image, segmenting the copper wire target and the background, and acquiring an inter-class threshold according to an algorithm formula, wherein the algorithm formula is as follows: g-omegaoω1(u0-u1)∧2，
Wherein g is an inter-class threshold, ωo、ω1All are sine function values, u0、u1Are all expected values;
d, fitting the straight line to obtain the pixel coordinates of the straight line in the image, calculating the pixel distance of the copper wire,
where den is interpolation, λ is undetermined coefficient, Dxx and Dyy are the product of mean difference between x coordinates and the product of mean difference between y coordinates, and DxyThe product value of the straight line average value difference between the point coordinates is obtained;
step e, calibrating and calculating to obtain a physical wire diameter value of the copper wire, wherein the expression for calculating the physical wire diameter value of the copper wire is as follows:
in the formula (I), the compound is shown in the specification,
in order to be a calibrated value,
m and n are respectively limit values of discrete points at two ends of the straight line for fitting the standard difference value;
judging whether the wire diameter of the current copper wire exceeds a preset wire diameter threshold value or not based on the obtained wire diameter detection result;
and if the wire diameter of the current copper wire exceeds a preset wire diameter threshold value, sending alarm information.
2. The copper wire arrangement detection method based on visual intelligent analysis according to claim 1, wherein the expression for calculating the displacement value is as follows:
in the formula, stFor the displacement value, v (x) is the selected discrete point, and v (x + t) is the selected discrete point moved by the distance t.
3. The method for detecting the copper wire arrangement based on the visual intelligent analysis as claimed in claim 1, wherein the method further comprises:
the method comprises the steps of obtaining a copper wire winding displacement image to be detected under a blue auxiliary light source, and carrying out uniform winding displacement detection on the copper wire winding displacement image to be detected based on a preset detection model.
4. The copper wire winding displacement detection method based on visual intelligent analysis according to claim 3, wherein the uniform winding displacement detection of the to-be-detected copper wire winding displacement image based on a preset detection model comprises:
step 1, carrying out spatial filtering processing on the copper wire arranging image to be detected to obtain a processed copper wire arranging image to be detected;
step 2, acquiring a perpendicular point B (x2, y2) of a straight line from any point A (x1, y1) and any point A (x1, y1) to a straight line adjacent to the straight line on the straight line, and solving respective straight line equations;
step 3, obtaining a perpendicular bisector equation between an arbitrary point A (x1, y1) and a perpendicular point B (x2, y2), wherein the perpendicular bisector equation is as follows:
y＝-(x2-x1)/(y2-y1)x+(x2-x1)/(y2-y1)*(x1+x2)/2+(y1+y2)/2；
step 4, obtaining the distance between the copper wires of the copper wire coil based on an Euclidean distance formula, and determining whether the distribution of the copper wires of the copper wire coil is uniform or not by comparing the calibrated copper wire distance values, wherein the Euclidean distance formula is as follows:
where ρ is a point (x)2，y2) And point (x)1，y1) The Euclidean distance therebetween, | X | is a point (X)2，y2) Euclidean distance to the origin.
5. The method according to claim 3, wherein the linear equation is expressed as:
(y-y1)/(x-x1)＝(y2-y1)/(x2-x1)；k＝(y2-y1)/(x2-x1)，
wherein y is a ordinate, x is an abscissa, and k is a slope of a straight line.
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