CN116609345B - Battery cover plate defect detection method, device, equipment and storage medium - Google Patents
Battery cover plate defect detection method, device, equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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- 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
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The invention belongs to the technical field of defect detection, and discloses a method, a device, equipment and a storage medium for detecting defects of a battery cover plate. The method comprises the following steps: performing defect detection on a battery cover plate to be detected to obtain initial defect information; determining the defects to be re-judged and the real defects of the battery cover plate to be detected according to the initial defect information; image acquisition is carried out on the defect to be re-judged to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image; determining the relative height difference of the defect to be re-judged according to the first time-sharing stroboscopic image and the second time-sharing stroboscopic image; and finishing defect detection of the battery cover plate to be detected according to the relative height difference and the real defect. Through the mode, the time-sharing stroboscopic 2.5D technology is utilized for image acquisition, diffuse reflection light interference on the surface of the object material is small, the method is suitable for detection of complex objects, detailed information on the surface of the object can be obtained, and the detection precision, the detection efficiency and the detection stability are improved.
Description
Technical Field
The present invention relates to the field of defect detection technologies, and in particular, to a method, an apparatus, a device, and a storage medium for detecting defects of a battery cover plate.
Background
The battery cover plate is one of very important components in electric automobiles and hybrid electric automobiles, and mainly serves to protect the battery module and prevent dust, moisture and the like from entering the battery module, and has the functions of attractive appearance, fire prevention and the like. The surface defects of the battery cover plate mainly comprise the following steps: 1) Recessed defect: i.e., surface dishing, which may occur due to manufacturing process problems, collisions during transportation, or aging during long-term use, etc. 2) Protrusion defect: i.e., surface protrusion defects, may be generated due to scratches, bubbles, etc. in the manufacturing process. 3) Burr defect: defects in the surface that appear as hairs may be caused by process problems or problems with the material itself. 4) Stain, stain: defects such as greasy dirt, stains and the like on the surface can be caused by pollution in the production, transportation, installation and other processes. In the installation of battery cover plate, if protruding defect appears, can lead to unable complete laminating between battery cover plate and the other parts, and then influence the security performance of whole car. Also, the burr defect may affect the sealing performance of the battery cover plate, and if the defect is too high, the battery cover plate may not be completely sealed, thereby affecting the life and performance of the battery. With the continuous development and application of machine vision technology, more and more industrial fields begin to apply the technology to the field of quality detection. However, in the large-scale production process, the detection accuracy and the detection efficiency of the battery cover plate are always lower, and if the detection accuracy is to be ensured, the detection accuracy is often required to be checked manually, so how to improve the detection accuracy is always a challenge in the field of industrial quality inspection.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for detecting defects of a battery cover plate, and aims to solve the technical problem of how to efficiently and accurately detect the defects of the battery cover plate in the prior art.
In order to achieve the above object, the present invention provides a method for detecting a defect of a battery cover plate, the method comprising:
performing defect detection on a battery cover plate to be detected to obtain initial defect information;
determining the defects to be re-judged and the real defects of the battery cover plate to be detected according to the initial defect information;
image acquisition is carried out on the defect to be re-judged to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image;
determining the relative height difference of the defect to be re-judged according to the first time-sharing stroboscopic image and the second time-sharing stroboscopic image;
and finishing defect detection of the battery cover plate to be detected according to the relative height difference and the real defect.
Optionally, the determining the to-be-rechecked defect and the true defect of the to-be-detected battery cover plate according to the initial defect information includes:
determining each initial detection defect, the area characteristic of each initial detection defect and the score characteristic of each initial detection defect according to the initial defect information;
Acquiring a preset area threshold value and a preset score threshold value;
when the initial detection defects with the area characteristics larger than the preset area threshold exist in the initial detection defects, determining the defects to be classified;
detecting whether the score characteristics of the defects to be classified are larger than the preset score threshold value;
when the score characteristics of the defects to be classified are larger than the preset score threshold, determining the real defects of the battery cover plate to be detected according to the defects to be classified;
and filtering each initial detection defect according to the real defects, and determining the defects to be re-judged of the battery cover plate to be detected.
Optionally, the image capturing of the defect to be re-judged to obtain a first time-sharing strobe image and a second time-sharing strobe image includes:
performing image acquisition on the defect to be subjected to the repeated judgment to determine a first initial acquisition image and a second initial acquisition image;
acquiring a first pixel value of a target pixel point in the first initial acquisition image;
acquiring a second pixel value of the target pixel point in the second initial acquisition image;
performing phase difference calculation according to the first pixel value and the second pixel value to obtain a phase difference value;
and when the phase difference value is the same as a preset phase difference value, determining a first time-sharing stroboscopic image and a second time-sharing stroboscopic image according to the first initial acquisition image and the second initial acquisition image.
Optionally, the determining the relative height difference of the defect to be re-determined according to the first time-sharing strobe image and the second time-sharing strobe image includes:
performing Fourier transform on the first time-sharing stroboscopic image and the second time-sharing stroboscopic image to obtain a first transformed image and a second transformed image;
performing phase difference calculation according to the first transformation image and the second transformation image to obtain a frequency domain phase difference;
and determining the relative height difference of the defect to be subjected to complex judgment according to the frequency domain phase difference.
Optionally, the determining the relative height difference of the defect to be determined according to the frequency domain phase difference includes:
acquiring image acquisition parameters;
determining an image acquisition wavelength and an image acquisition angle according to the image acquisition parameters;
and carrying out height difference calculation according to the image acquisition wavelength, the image acquisition angle and the frequency domain phase difference, and determining the relative height difference of the defect to be subjected to the complex judgment.
Optionally, the detecting the defect of the battery cover plate to be detected according to the relative height difference and the real defect includes:
acquiring a plane height value and a defect height threshold value of the battery cover plate to be detected;
Determining the absolute height value of the defect to be re-judged according to the relative height difference and the plane height value;
and finishing defect detection of the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect.
Optionally, the detecting the defect of the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect includes:
when the absolute height value is larger than the defect height threshold value, determining a target defect according to the defect to be re-judged;
determining a first detection defect set of the battery cover plate to be detected according to the target defect and the real defect;
completing defect detection of the battery cover plate to be detected according to the first detection defect set;
and performing defect detection on the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect, and further comprising:
when the absolute height value is not greater than the defect height threshold, determining a second defect detection set of the battery cover plate to be detected according to the real defect;
and finishing defect detection of the battery cover plate to be detected according to the second detection defect set.
In addition, in order to achieve the above object, the present invention also provides a device for detecting a defect of a battery cover plate, the device comprising:
the detection module is used for carrying out defect detection on the battery cover plate to be detected to obtain initial defect information;
the determining module is used for determining the to-be-reclassified defect and the true defect of the to-be-detected battery cover plate according to the initial defect information;
the acquisition module is used for carrying out image acquisition on the defect to be re-judged to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image;
the determining module is further configured to determine a relative height difference of the defect to be re-determined according to the first time-sharing strobe image and the second time-sharing strobe image;
and the completion module is used for completing defect detection of the battery cover plate to be detected according to the relative height difference and the real defect.
In addition, to achieve the above object, the present invention also proposes a battery cover defect detection apparatus comprising: the battery cover defect detection system comprises a memory, a processor and a battery cover defect detection program stored on the memory and capable of running on the processor, wherein the battery cover defect detection program is configured to realize the battery cover defect detection method.
In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon a battery cover defect detection program which, when executed by a processor, implements the battery cover defect detection method as described above.
The method comprises the steps of performing defect detection on a battery cover plate to be detected to obtain initial defect information; determining the defects to be re-judged and the real defects of the battery cover plate to be detected according to the initial defect information; image acquisition is carried out on the defect to be re-judged to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image; determining the relative height difference of the defect to be re-judged according to the first time-sharing stroboscopic image and the second time-sharing stroboscopic image; and finishing defect detection of the battery cover plate to be detected according to the relative height difference and the real defect. By the method, the defect to be re-judged and the real defect are determined when the defect detection is carried out on the battery cover plate to be detected, the time-sharing stroboscopic 2.5D technology is utilized to carry out image acquisition on the defect to be re-judged, a large number of high-quality images can be obtained in a short time, the obtained first time-sharing stroboscopic image and the second time-sharing stroboscopic image are utilized to determine the relative height difference of the defect to be re-judged, the defect re-judgment on the defect to be re-judged is completed according to the relative height difference, the defect detection of the battery cover plate to be detected is completed by combining the real defect, the time-sharing stroboscopic 2.5D technology is utilized to carry out image acquisition, diffuse reflection light interference on the surface of an object material is small, the method is suitable for detecting complex objects, the detailed information on the surface of the objects can be obtained, and the detection precision, the detection efficiency and the detection stability are improved.
Drawings
FIG. 1 is a schematic diagram of a battery cover defect detection device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart of a first embodiment of a method for detecting defects of a battery cover according to the present invention;
FIG. 3 is a flowchart of a second embodiment of a method for detecting defects of a battery cover according to the present invention;
fig. 4 is a block diagram showing a first embodiment of a battery cover defect detecting device according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a battery cover plate defect detection device in a hardware operation environment according to an embodiment of the present invention.
As shown in fig. 1, the battery cover defect detection apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the battery cover defect detection apparatus, and may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a battery cover defect detection program may be included in the memory 1005 as one type of storage medium.
In the battery cover defect detection apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the battery cover defect detection device of the present invention may be disposed in the battery cover defect detection device, where the battery cover defect detection device invokes a battery cover defect detection program stored in the memory 1005 through the processor 1001, and executes the battery cover defect detection method provided by the embodiment of the present invention.
An embodiment of the invention provides a method for detecting a defect of a battery cover plate, referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the method for detecting a defect of a battery cover plate.
The defect detection method of the battery cover plate comprises the following steps:
step S10: and performing defect detection on the battery cover plate to be detected to obtain initial defect information.
It should be noted that, the execution main body of the embodiment is a battery cover plate defect detection system, and the battery cover plate defect detection system is built by a 2.5D algorithm. The battery cover plate defect detection system detects defects of the battery cover plate to be detected to obtain initial defect information, determines to-be-repeated judging defects and real defects of the battery cover plate to be detected according to the initial defect information, performs image acquisition on the to-be-repeated judging defects to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image, determines the relative height difference of the to-be-repeated judging defects according to the first time-sharing stroboscopic image and the second time-sharing stroboscopic image, and completes defect detection of the battery cover plate to be detected according to the relative height difference and the real defects.
It can be understood that among the defects existing on the surface of the battery cover plate, the protruding defects and the burr defects require height information, because the height information of the defects has important significance for quality control, the real defects can be accurately identified (misjudgment is eliminated) by classifying and screening the defect height values, however, the target height information cannot be obtained by the conventional 2D vision, the 3D vision hardware cost is high, the three-dimensional height information of the detected object can be obtained in a short time by the 2.5D imaging technology, and the hardware cost is relatively low. Currently existing 2.5D imaging technologies, such as laser projection, structured light, binocular vision, and the like, have certain drawbacks and are difficult to apply to defect detection of a battery cover plate. 2.5D technology based on structured light principle: 1) Is affected by ambient light and reflected light, and is prone to errors; 2) Has certain requirements on the material and glossiness of the surface of the object. Binocular vision based 2.5D technology: 1) Two cameras are needed for shooting, and high hardware cost is needed; 2) The method has high requirements on extracting the characteristic points of the surface of the object, and has lower detection precision on the object lacking the characteristic points on the surface. Therefore, a battery cover plate defect detection method based on a 2.5D algorithm in the present embodiment is proposed.
In specific implementation, the battery cover plate to be detected refers to a battery cover plate needing to be subjected to surface defect detection, common image acquisition is performed on the battery cover plate to be detected, and preliminary defect detection is performed on the battery cover plate to be detected based on the acquired image to be detected and a preset defect detection model, so that initial defect information is obtained. The preset defect detection model is obtained by training based on a deep learning technology of a small sample, a surface defect detection model can be carried out, the image to be detected can return corresponding initial defect information after AI, and the initial defect information comprises information such as initial detection defects on a plurality of battery cover plates to be detected, score characteristics of each initial detection defect, area characteristics of each initial detection defect and the like, wherein the scores of each initial detection defect are in the range of (0, 1).
Step S20: and determining the defects to be re-judged and the real defects of the battery cover plate to be detected according to the initial defect information.
After the initial defect information is determined, performing defect classification on each initial detection defect according to the initial defect information to obtain a true defect existing on the battery cover plate to be detected and a to-be-re-determined defect which is suspected to be subjected to a re-determination process to determine whether the initial detection defect is the true defect.
It can be understood that, in order to accurately classify the defects based on the initial defect information, further, the determining the to-be-reclassified defects and the true defects of the to-be-detected battery cover plate according to the initial defect information includes: determining each initial detection defect, the area characteristic of each initial detection defect and the score characteristic of each initial detection defect according to the initial defect information; acquiring a preset area threshold value and a preset score threshold value; when the initial detection defects with the area characteristics larger than the preset area threshold exist in the initial detection defects, determining the defects to be classified; detecting whether the score characteristics of the defects to be classified are larger than the preset score threshold value; when the score characteristics of the defects to be classified are larger than the preset score threshold, determining the real defects of the battery cover plate to be detected according to the defects to be classified; and filtering each initial detection defect according to the real defects, and determining the defects to be re-judged of the battery cover plate to be detected.
In specific implementation, information extraction is performed on initial defect information, and each initial detection defect, the area characteristic of each initial detection defect and the score characteristic of each initial detection defect are determined. The preset area threshold value and the preset score threshold value are respectively an area critical value and a score critical value which are preset and used for classifying the initial detected defects.
It should be noted that, the initial detection defects are screened according to the preset area threshold value and the area characteristics of each initial detection defect, the characteristics of which the area characteristics are larger than the preset area threshold value are determined in the plurality of initial detection defects, the characteristics of which the area characteristics are larger than the preset area threshold value are the defects to be classified, the defects to be classified are screened according to the score characteristics of the defects to be classified and the preset score threshold value, the characteristics of which the score characteristics are larger than the preset score threshold value are determined in the plurality of defects to be classified, and the characteristics of which the score characteristics are larger than the preset score threshold value in the defects to be classified are the real defects. After determining the real defects, the remaining initial detection defects in the plurality of initial detection defects are the defects to be judged again. Namely, the defects with the area characteristics larger than the preset area threshold value and the score characteristics larger than the preset score threshold value in the initial detection defects are real defects, and the remaining initial detection defects are defects to be judged again.
Step S30: and carrying out image acquisition on the defect to be re-judged to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image.
After determining the defect to be re-judged, mapping the defect position of the defect to be re-judged to 2.5D, and performing image acquisition by using a time-sharing strobe 2.5D technology to obtain two time-sharing strobe imaging images.
It can be understood that, in order to obtain the first time-sharing strobe image and the second time-sharing strobe image that meet the requirements, so as to ensure the accuracy of the subsequent defect re-judgment, further, the image acquisition is performed on the defect to be re-judged, so as to obtain the first time-sharing strobe image and the second time-sharing strobe image, including: performing image acquisition on the defect to be subjected to the repeated judgment to determine a first initial acquisition image and a second initial acquisition image; acquiring a first pixel value of a target pixel point in the first initial acquisition image; acquiring a second pixel value of the target pixel point in the second initial acquisition image; performing phase difference calculation according to the first pixel value and the second pixel value to obtain a phase difference value; and when the phase difference value is the same as a preset phase difference value, determining a first time-sharing stroboscopic image and a second time-sharing stroboscopic image according to the first initial acquisition image and the second initial acquisition image.
In specific implementation, mapping the defect position of the defect to be judged under 2.5D, and performing image acquisition by using a time-sharing stroboscopic 2.5D technology to obtain two time-sharing stroboscopic imaging images, wherein the two time-sharing stroboscopic imaging images are a first initial acquisition image and a second initial acquisition image respectively.
The same pixel point is selected as a target pixel point in the first initial acquisition image and the second initial acquisition image at will, the brightness value of the target pixel point in the first initial acquisition image is obtained, the brightness value of the target pixel point in the first initial acquisition image is the first pixel value, the second pixel value is obtained in the same way, and the phase difference value between the first initial acquisition image and the second initial acquisition image is obtained by performing phase difference calculation according to the first pixel value and the second pixel value. The phase difference value may be calculated by:
Δφ=arctan ((I1-I2)/(I1+I2)), where I1 and I2 are the first pixel value and the second pixel value, respectively.
It may be understood that the preset phase difference refers to a preset phase difference value, in this embodiment, the preset phase difference is 180 degrees, and when the phase difference value between the first initial acquisition image and the second initial acquisition image is the preset phase difference value, it is indicated that the first initial acquisition image and the second initial acquisition image meet the imaging complex judgment requirement, and at this time, the first initial acquisition image is used as the first time-sharing strobe image, and the second initial acquisition image is used as the second time-sharing strobe image. If the phase difference value between the first initial acquisition image and the second initial acquisition image is not the preset phase difference, the phase or the optical path length of the light source can be changed to acquire the image again, and the phase difference of the acquired image is calculated to determine whether the acquired image can be used as the first time-sharing strobe image and the second time-sharing strobe image.
Step S40: and determining the relative height difference of the defect to be re-judged according to the first time-sharing stroboscopic image and the second time-sharing stroboscopic image.
It should be noted that the relative height difference refers to the relative height information of the defect to be determined, and the relative height difference of the defect to be determined can be determined by performing image conversion and calculation according to the first time-sharing strobe image and the second time-sharing strobe image.
Step S50: and finishing defect detection of the battery cover plate to be detected according to the relative height difference and the real defect.
It should be noted that after determining the relative height difference, determining whether the defect to be re-determined is a real defect existing on the battery cover plate to be detected according to the relative height difference of the defect to be re-determined, and completing defect detection of the battery cover plate to be detected according to the determination result and the real defect.
It can be understood that, in order to ensure the accuracy of the judgment result to improve the accuracy of defect detection, further, the detecting the defect of the battery cover plate to be detected according to the relative height difference and the real defect includes: acquiring a plane height value and a defect height threshold value of the battery cover plate to be detected; determining the absolute height value of the defect to be re-judged according to the relative height difference and the plane height value; and finishing defect detection of the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect.
In specific implementation, the plane height value of the battery cover plate to be detected refers to the relative height value of the battery cover plate to be detected, the defect height threshold value refers to the process detection standard threshold value of the battery cover plate, and the absolute height value of the defect to be re-judged is determined according to the relative height difference and the plane height value of the defect to be re-judged, wherein the specific calculation mode is as follows: absolute height value x=h-a, where h is the relative height difference and a is the planar height value.
It should be noted that, after determining the absolute height value of the defect to be re-determined, performing defect re-determination on the defect to be re-determined based on the absolute height value and the defect height threshold, and completing defect detection of the battery cover plate to be detected based on the determination result and the real defect.
It can be understood that, in order to complete the detection of the defect of the battery cover plate to be detected based on the absolute height value, the defect height threshold value and the real defect, further, the detecting of the defect of the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect includes: when the absolute height value is larger than the defect height threshold value, determining a target defect according to the defect to be re-judged; determining a first detection defect set of the battery cover plate to be detected according to the target defect and the real defect; completing defect detection of the battery cover plate to be detected according to the first detection defect set; and performing defect detection on the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect, and further comprising: when the absolute height value is not greater than the defect height threshold, determining a second defect detection set of the battery cover plate to be detected according to the real defect; and finishing defect detection of the battery cover plate to be detected according to the second detection defect set.
In a specific implementation, when the absolute height value is greater than the defect height threshold value, the defect to be re-judged is a real defect existing on the battery cover plate to be detected, the defect to be re-judged is taken as a target defect, the target defect and the real defect in the initial defect detection information are combined to form a defect detection set, so that a first detection defect set is obtained, the defect in the first detection defect set is the real defect existing on the battery cover plate to be detected, and the defect detection of the battery cover plate to be detected is completed according to the first defect detection set.
When the absolute height value is not greater than the defect height threshold, the defect to be re-judged is not a real defect existing on the battery cover plate to be detected, and at the moment, the real defect in the initial defect detection information is a defect detection set, so that a second detection defect set is obtained, the defect in the second detection defect set is the real defect existing on the battery cover plate to be detected, and the defect detection of the battery cover plate to be detected is completed according to the second defect detection set.
In the embodiment, initial defect information is obtained by performing defect detection on the battery cover plate to be detected; determining the defects to be re-judged and the real defects of the battery cover plate to be detected according to the initial defect information; image acquisition is carried out on the defect to be re-judged to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image; determining the relative height difference of the defect to be re-judged according to the first time-sharing stroboscopic image and the second time-sharing stroboscopic image; and finishing defect detection of the battery cover plate to be detected according to the relative height difference and the real defect. By the method, the defect to be re-judged and the real defect are determined when the defect detection is carried out on the battery cover plate to be detected, the time-sharing stroboscopic 2.5D technology is utilized to carry out image acquisition on the defect to be re-judged, a large number of high-quality images can be obtained in a short time, the obtained first time-sharing stroboscopic image and the second time-sharing stroboscopic image are utilized to determine the relative height difference of the defect to be re-judged, the defect re-judgment on the defect to be re-judged is completed according to the relative height difference, the defect detection of the battery cover plate to be detected is completed by combining the real defect, the time-sharing stroboscopic 2.5D technology is utilized to carry out image acquisition, diffuse reflection light interference on the surface of an object material is small, the method is suitable for detecting complex objects, the detailed information on the surface of the objects can be obtained, and the detection precision, the detection efficiency and the detection stability are improved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of a method for detecting defects of a battery cover according to the present invention.
Based on the first embodiment, step S40 described in the method for detecting a defect of a battery cover plate according to the present embodiment includes:
step S41: and carrying out Fourier transform on the first time-sharing stroboscopic image and the second time-sharing stroboscopic image to obtain a first transformed image and a second transformed image.
The fourier transform is performed on the first time-sharing strobe image and the second time-sharing strobe image, the first time-sharing strobe image and the second time-sharing strobe image are converted into signals in frequency domains, each frequency domain corresponds to different heights, a frequency domain image corresponding to the converted first time-sharing strobe image is a first transformed image, and a frequency domain image corresponding to the second time-sharing strobe image is a second transformed image. The formula for converting the time-sharing stroboscopic image into the transformed image is as follows: f (u, v) = ΣΣf (x, y) ×exp (-j 2 pi (ux/m+vy/N)), where F (u, v) is a value of the converted image, F (x, y) is a value of the time-sharing strobe image, (u, v) is coordinates on the converted image, and M and N are the width and the height of the time-sharing strobe image, respectively.
Step S42: and performing phase difference calculation according to the first transformation image and the second transformation image to obtain a frequency domain phase difference.
After the first transformed image and the second transformed image are obtained, phase difference calculation is performed according to the first transformed image and the second transformed image, so as to obtain a phase difference between the first transformed image and the second transformed image, wherein the phase difference before the first transformed image and the second transformed image is a frequency domain phase difference, and also reflects a height difference between the two images, and a specific calculation formula is as follows: the frequency domain phase difference Φ (u, v) =arg (F1 (u, v)) -arg (F2 (u, v), where F1 (u, v) is the value of the first transformed image and F2 (u, v) is the value of the second transformed image.
Step S43: and determining the relative height difference of the defect to be subjected to complex judgment according to the frequency domain phase difference.
It should be noted that after determining the frequency domain phase difference, the method may determine a relative height difference of the defect to be determined, further, the determining the relative height difference of the defect to be determined according to the frequency domain phase difference includes: acquiring image acquisition parameters; determining an image acquisition wavelength and an image acquisition angle according to the image acquisition parameters; and carrying out height difference calculation according to the image acquisition wavelength, the image acquisition angle and the frequency domain phase difference, and determining the relative height difference of the defect to be subjected to the complex judgment.
It can be understood that the frequency domain phase difference can be used to calculate the wavelength difference between two light waves, so as to calculate the relative height value of the defect to be determined, the image acquisition parameters refer to the acquisition equipment parameters when the first time-sharing strobe image and the second time-sharing strobe image are acquired by using the 2.5D imaging technology, the image acquisition parameters comprise an image acquisition wavelength and an image acquisition angle, the image acquisition wavelength refers to the wavelength lambda of the laser, and the image acquisition angle refers to the angle theta of the incident light.
In a specific implementation, after determining the image acquisition wavelength, the image acquisition angle and the frequency domain phase difference, the height difference calculation can be performed to determine the relative height difference h (u, v) of the defect to be re-judged, and the specific calculation mode is as follows: h (u, v) =Φ (u, v) ×λ/(2ρsin (θ/2)).
In this embodiment, fourier transform is performed on the first time-sharing strobe image and the second time-sharing strobe image to obtain a first transformed image and a second transformed image; performing phase difference calculation according to the first transformation image and the second transformation image to obtain a frequency domain phase difference; and determining the relative height difference of the defect to be subjected to complex judgment according to the frequency domain phase difference. By the method, fourier transformation is carried out on the first time-sharing stroboscopic image and the second time-sharing stroboscopic image, phase difference calculation is carried out on the basis of the obtained first transformation image and the obtained second transformation image, frequency domain phase difference is obtained, the relative height difference of the defect to be judged is finally determined, the accuracy of the calculation of the relative height difference is guaranteed, and meanwhile, a foundation is laid for the detection precision of the follow-up defect detection.
In addition, referring to fig. 4, an embodiment of the present invention further provides a device for detecting a defect of a battery cover, where the device for detecting a defect of a battery cover includes:
the detection module 10 is configured to detect a defect of the battery cover plate to be detected, and obtain initial defect information.
And the determining module 20 is configured to determine the to-be-determined defect and the true defect of the to-be-detected battery cover plate according to the initial defect information.
The acquisition module 30 is configured to perform image acquisition on the defect to be determined, and obtain a first time-sharing strobe image and a second time-sharing strobe image.
The determining module 20 is further configured to determine a relative height difference of the defect to be determined according to the first time-sharing strobe image and the second time-sharing strobe image.
And a completion module 40, configured to complete defect detection of the to-be-detected battery cover plate according to the relative height difference and the actual defect.
In the embodiment, initial defect information is obtained by performing defect detection on the battery cover plate to be detected; determining the defects to be re-judged and the real defects of the battery cover plate to be detected according to the initial defect information; image acquisition is carried out on the defect to be re-judged to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image; determining the relative height difference of the defect to be re-judged according to the first time-sharing stroboscopic image and the second time-sharing stroboscopic image; and finishing defect detection of the battery cover plate to be detected according to the relative height difference and the real defect. By the method, the defect to be re-judged and the real defect are determined when the defect detection is carried out on the battery cover plate to be detected, the time-sharing stroboscopic 2.5D technology is utilized to carry out image acquisition on the defect to be re-judged, a large number of high-quality images can be obtained in a short time, the obtained first time-sharing stroboscopic image and the second time-sharing stroboscopic image are utilized to determine the relative height difference of the defect to be re-judged, the defect re-judgment on the defect to be re-judged is completed according to the relative height difference, the defect detection of the battery cover plate to be detected is completed by combining the real defect, the time-sharing stroboscopic 2.5D technology is utilized to carry out image acquisition, diffuse reflection light interference on the surface of an object material is small, the method is suitable for detecting complex objects, the detailed information on the surface of the objects can be obtained, and the detection precision, the detection efficiency and the detection stability are improved.
In one embodiment, the determining module 20 is further configured to determine each initial detected defect, an area characteristic of each initial detected defect, and a score characteristic of each initial detected defect according to the initial defect information;
acquiring a preset area threshold value and a preset score threshold value;
when the initial detection defects with the area characteristics larger than the preset area threshold exist in the initial detection defects, determining the defects to be classified;
detecting whether the score characteristics of the defects to be classified are larger than the preset score threshold value;
when the score characteristics of the defects to be classified are larger than the preset score threshold, determining the real defects of the battery cover plate to be detected according to the defects to be classified;
and filtering each initial detection defect according to the real defects, and determining the defects to be re-judged of the battery cover plate to be detected.
In an embodiment, the acquisition module 30 is further configured to perform image acquisition on the defect to be determined, and determine a first initial acquired image and a second initial acquired image;
acquiring a first pixel value of a target pixel point in the first initial acquisition image;
acquiring a second pixel value of the target pixel point in the second initial acquisition image;
Performing phase difference calculation according to the first pixel value and the second pixel value to obtain a phase difference value;
and when the phase difference value is the same as a preset phase difference value, determining a first time-sharing stroboscopic image and a second time-sharing stroboscopic image according to the first initial acquisition image and the second initial acquisition image.
In an embodiment, the determining module 20 is further configured to fourier transform the first time-sharing strobe image and the second time-sharing strobe image to obtain a first transformed image and a second transformed image;
performing phase difference calculation according to the first transformation image and the second transformation image to obtain a frequency domain phase difference;
and determining the relative height difference of the defect to be subjected to complex judgment according to the frequency domain phase difference.
In an embodiment, the determining module 20 is further configured to acquire image acquisition parameters;
determining an image acquisition wavelength and an image acquisition angle according to the image acquisition parameters;
and carrying out height difference calculation according to the image acquisition wavelength, the image acquisition angle and the frequency domain phase difference, and determining the relative height difference of the defect to be subjected to the complex judgment.
In an embodiment, the completing module 40 is further configured to obtain a plane height value and a defect height threshold value of the battery cover plate to be detected;
Determining the absolute height value of the defect to be re-judged according to the relative height difference and the plane height value;
and finishing defect detection of the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect.
In an embodiment, the completing module 40 is further configured to determine a target defect according to the defect to be determined when the absolute height value is greater than the defect height threshold;
determining a first detection defect set of the battery cover plate to be detected according to the target defect and the real defect;
completing defect detection of the battery cover plate to be detected according to the first detection defect set;
and performing defect detection on the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect, and further comprising:
when the absolute height value is not greater than the defect height threshold, determining a second defect detection set of the battery cover plate to be detected according to the real defect;
and finishing defect detection of the battery cover plate to be detected according to the second detection defect set.
Because the device adopts all the technical schemes of all the embodiments, the device at least has all the beneficial effects brought by the technical schemes of the embodiments, and the description is omitted here.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium stores a battery cover plate defect detection program, and the battery cover plate defect detection program realizes the steps of the battery cover plate defect detection method when being executed by a processor.
Because the storage medium adopts all the technical schemes of all the embodiments, the storage medium has at least all the beneficial effects brought by the technical schemes of the embodiments, and the description is omitted here.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in the present embodiment may be referred to the method for detecting a defect of a battery cover plate provided in any embodiment of the present invention, which is not described herein again.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of embodiments, it will be clear to a person skilled in the art that the above embodiment method may be implemented by means of software plus a necessary general hardware platform, but may of course also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk) and comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (6)
1. The battery cover plate defect detection method is characterized by comprising the following steps of:
performing defect detection on a battery cover plate to be detected to obtain initial defect information;
determining the defects to be re-judged and the real defects of the battery cover plate to be detected according to the initial defect information;
image acquisition is carried out on the defect to be re-judged to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image;
determining the relative height difference of the defect to be re-judged according to the first time-sharing stroboscopic image and the second time-sharing stroboscopic image;
the defect detection of the battery cover plate to be detected is completed according to the relative height difference and the real defect;
the image acquisition of the defect to be re-judged is performed to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image, and the method comprises the following steps:
mapping the defect position of the defect to be re-judged to 2.5D, and performing image acquisition by using a time-sharing stroboscopic 2.5 technology to determine a first initial acquisition image and a second initial acquisition image;
acquiring a first pixel value of a target pixel point in the first initial acquisition image;
acquiring a second pixel value of the target pixel point in the second initial acquisition image;
Performing phase difference calculation according to the first pixel value and the second pixel value to obtain a phase difference value;
when the phase difference value is the same as a preset phase difference value, determining a first time-sharing stroboscopic image and a second time-sharing stroboscopic image according to the first initial acquisition image and the second initial acquisition image;
the determining the relative height difference of the defect to be re-judged according to the first time-sharing strobe image and the second time-sharing strobe image includes:
performing Fourier transform on the first time-sharing stroboscopic image and the second time-sharing stroboscopic image to obtain a first transformed image and a second transformed image;
performing phase difference calculation according to the first transformation image and the second transformation image to obtain a frequency domain phase difference;
acquiring image acquisition parameters;
determining an image acquisition wavelength and an image acquisition angle according to the image acquisition parameters;
performing height difference calculation according to the image acquisition wavelength lambda, the image acquisition angle theta and the frequency domain phase difference phi (u, v), and determining a relative height difference h (u, v) =phi (u, v) ×lambda/(2pi sin (theta/2)) of the defect to be determined, wherein (u, v) is a coordinate on the first transformation image and the second transformation image;
Wherein, the determining the to-be-reclassified defect and the true defect of the to-be-detected battery cover plate according to the initial defect information includes:
determining each initial detection defect, the area characteristic of each initial detection defect and the score characteristic of each initial detection defect according to the initial defect information;
acquiring a preset area threshold value and a preset score threshold value;
when the initial detection defects with the area characteristics larger than the preset area threshold exist in the initial detection defects, determining the defects to be classified;
detecting whether the score characteristics of the defects to be classified are larger than the preset score threshold value;
when the score characteristics of the defects to be classified are larger than the preset score threshold, determining the real defects of the battery cover plate to be detected according to the defects to be classified;
and filtering each initial detection defect according to the real defects, and determining the defects to be re-judged of the battery cover plate to be detected.
2. The battery cover defect detection method according to claim 1, wherein the performing defect detection of the battery cover to be detected based on the relative height difference and the true defect comprises:
acquiring a plane height value and a defect height threshold value of the battery cover plate to be detected;
Determining the absolute height value of the defect to be re-judged according to the relative height difference and the plane height value;
and finishing defect detection of the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect.
3. The battery cover defect detection method according to claim 2, wherein the performing the defect detection of the battery cover to be detected based on the absolute height value, the defect height threshold, and the real defect comprises:
when the absolute height value is larger than the defect height threshold value, determining a target defect according to the defect to be re-judged;
determining a first detection defect set of the battery cover plate to be detected according to the target defect and the real defect;
completing defect detection of the battery cover plate to be detected according to the first detection defect set;
and performing defect detection on the battery cover plate to be detected according to the absolute height value, the defect height threshold value and the real defect, and further comprising:
when the absolute height value is not greater than the defect height threshold, determining a second detection defect set of the battery cover plate to be detected according to the real defect;
And finishing defect detection of the battery cover plate to be detected according to the second detection defect set.
4. A battery cover defect detection device, characterized in that the battery cover defect detection device comprises:
the detection module is used for carrying out defect detection on the battery cover plate to be detected to obtain initial defect information;
the determining module is used for determining the to-be-reclassified defect and the true defect of the to-be-detected battery cover plate according to the initial defect information;
the acquisition module is used for carrying out image acquisition on the defect to be re-judged to obtain a first time-sharing stroboscopic image and a second time-sharing stroboscopic image;
the determining module is further configured to determine a relative height difference of the defect to be re-determined according to the first time-sharing strobe image and the second time-sharing strobe image;
the completion module is used for completing defect detection of the battery cover plate to be detected according to the relative height difference and the real defect;
the acquisition module is also used for mapping the defect position of the defect to be subjected to the repeated judgment to 2.5D, performing image acquisition by using a time-sharing stroboscopic 2.5 technology, and determining a first initial acquisition image and a second initial acquisition image;
acquiring a first pixel value of a target pixel point in the first initial acquisition image;
Acquiring a second pixel value of the target pixel point in the second initial acquisition image;
performing phase difference calculation according to the first pixel value and the second pixel value to obtain a phase difference value;
when the phase difference value is the same as a preset phase difference value, determining a first time-sharing stroboscopic image and a second time-sharing stroboscopic image according to the first initial acquisition image and the second initial acquisition image;
the determining module is further configured to perform fourier transform on the first time-sharing strobe image and the second time-sharing strobe image to obtain a first transformed image and a second transformed image;
performing phase difference calculation according to the first transformation image and the second transformation image to obtain a frequency domain phase difference;
acquiring image acquisition parameters;
determining an image acquisition wavelength and an image acquisition angle according to the image acquisition parameters;
performing height difference calculation according to the image acquisition wavelength lambda, the image acquisition angle theta and the frequency domain phase difference phi (u, v), and determining a relative height difference h (u, v) =phi (u, v) ×lambda/(2pi sin (theta/2)) of the defect to be determined, wherein (u, v) is a coordinate on the first transformation image and the second transformation image;
The determining module is further configured to determine each initial detected defect, an area characteristic of each initial detected defect, and a score characteristic of each initial detected defect according to the initial defect information;
acquiring a preset area threshold value and a preset score threshold value;
when the initial detection defects with the area characteristics larger than the preset area threshold exist in the initial detection defects, determining the defects to be classified;
detecting whether the score characteristics of the defects to be classified are larger than the preset score threshold value;
when the score characteristics of the defects to be classified are larger than the preset score threshold, determining the real defects of the battery cover plate to be detected according to the defects to be classified;
and filtering each initial detection defect according to the real defects, and determining the defects to be re-judged of the battery cover plate to be detected.
5. A battery cover defect detection apparatus, the apparatus comprising: a memory, a processor, and a battery cover defect detection program stored on the memory and executable on the processor, the battery cover defect detection program configured to implement the battery cover defect detection method of any one of claims 1 to 3.
6. A storage medium having stored thereon a battery cover defect detection program which, when executed by a processor, implements the battery cover defect detection method according to any one of claims 1 to 3.
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